CN114140710A - Monitoring data transmission method and system based on data processing - Google Patents
Monitoring data transmission method and system based on data processing Download PDFInfo
- Publication number
- CN114140710A CN114140710A CN202111209803.4A CN202111209803A CN114140710A CN 114140710 A CN114140710 A CN 114140710A CN 202111209803 A CN202111209803 A CN 202111209803A CN 114140710 A CN114140710 A CN 114140710A
- Authority
- CN
- China
- Prior art keywords
- video
- monitoring
- target
- data transmission
- classification set
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
Landscapes
- Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Closed-Circuit Television Systems (AREA)
Abstract
The invention provides a monitoring data transmission method and system based on data processing, and relates to the technical field of data processing. In the invention, the acquired to-be-processed monitoring video sent by each monitoring terminal device is subjected to duplication elimination screening processing to obtain a plurality of corresponding target monitoring videos, wherein each monitoring terminal device is used for carrying out image information acquisition processing on the monitoring environment to obtain the corresponding to-be-processed monitoring video; classifying a plurality of target monitoring videos to obtain at least one corresponding video classification set, determining that each target monitoring video included in the video classification set has the same data transmission mode, and transmitting each target monitoring video included in the video classification set to corresponding video receiving equipment based on the data transmission mode. Based on the method, the problem of poor video transmission effect in the prior art can be solved.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a monitoring data transmission method and system based on data processing.
Background
With the continuous development of computer technology and internet technology, the application of monitoring technology is also widely applied. In the monitoring technology, at least a monitoring terminal device for image acquisition and a server for data processing are generally included. For example, after acquiring the monitoring video, the monitoring terminal device may send the monitoring video to a server for processing, such as screening, and then may transmit the monitoring video to other devices for application. However, the inventor has found that, in the prior art, various videos are generally transmitted based on the same transmission method, and thus, there may be a problem that the effect of video transmission is not good.
Disclosure of Invention
In view of the above, the present invention provides a monitoring data transmission method and system based on data processing to solve the problem of poor video transmission effect in the prior art.
In order to achieve the above purpose, the embodiment of the invention adopts the following technical scheme:
a monitoring data transmission method based on data processing is applied to a monitoring data processing server, the monitoring data processing server is in communication connection with a plurality of monitoring terminal devices, and the monitoring data transmission method based on data processing comprises the following steps:
performing duplicate removal screening processing on the to-be-processed monitoring video sent by each of the plurality of acquired monitoring terminal devices based on the determined duplicate removal screening manner to obtain a plurality of corresponding target monitoring videos, wherein each monitoring terminal device is used for performing image information acquisition processing on the monitoring environment to obtain the corresponding to-be-processed monitoring video;
classifying the target monitoring videos to obtain at least one corresponding video classification set, wherein each video classification set comprises at least one target monitoring video;
and aiming at each video classification set, determining that each target monitoring video included in the video classification set has the same data transmission mode, and transmitting each target monitoring video included in the video classification set to corresponding video receiving equipment based on the data transmission mode.
In some preferred embodiments, in the above monitoring data transmission method based on data processing, the step of classifying the target monitoring videos to obtain at least one corresponding video classification set includes:
determining target feature information corresponding to each target surveillance video in the target surveillance videos, and determining feature similarity between the target feature information corresponding to each two target surveillance videos;
and clustering the target monitoring videos to obtain at least one corresponding video classification set based on the feature similarity between the target feature information corresponding to every two target monitoring videos.
In some preferred embodiments, in the above monitoring data transmission method based on data processing, the step of determining, for each target monitoring video of the target monitoring videos, target feature information corresponding to the target monitoring video, and determining, for each two target monitoring videos, a feature similarity between the target feature information corresponding to the two target monitoring videos includes:
determining at least one first environmental monitoring video frame in a plurality of environmental monitoring video frames included in the target monitoring video aiming at each target monitoring video in the plurality of target monitoring videos;
calculating the video frame similarity between the at least one frame of first environment monitoring video frames of the two target monitoring videos aiming at every two target monitoring videos in the plurality of target monitoring videos to obtain the video similarity between the two target monitoring videos;
and determining the video similarity between the two target monitoring videos as the feature similarity between the target feature information corresponding to the two target monitoring videos aiming at each two target monitoring videos in the plurality of target monitoring videos.
In some preferred embodiments, in the above monitoring data transmission method based on data processing, the step of determining, for each target monitoring video of the target monitoring videos, at least one first environmental monitoring video frame of multiple environmental monitoring video frames included in the target monitoring video includes:
calculating an average value of the similarity between each environmental monitoring video frame and other environmental monitoring video frames in each target monitoring video in the target monitoring videos, and determining the average value as a video frame similarity average value corresponding to the environmental monitoring video frame;
determining the maximum value of video frame similarity mean values corresponding to each frame of environmental monitoring video frames in the target monitoring video aiming at each target monitoring video in the plurality of target monitoring videos;
and determining one or more frames of the environmental monitoring video frames with the maximum value in the target monitoring video as the first environmental monitoring video frame corresponding to the target monitoring video aiming at each target monitoring video in the plurality of target monitoring videos.
In some preferred embodiments, in the above monitoring data transmission method based on data processing, the step of determining, for each video classification set, that each target monitoring video included in the video classification set has the same data transmission mode, and transmitting each target monitoring video included in the video classification set to a corresponding video receiving device based on the data transmission mode includes:
regarding each video classification set, taking all the target monitoring videos included in the video classification set as a data packet to obtain a video data packet corresponding to the video classification set;
and transmitting each video data packet to corresponding video receiving equipment as a whole.
In some preferred embodiments, in the above monitoring data transmission method based on data processing, the step of determining, for each video classification set, that each target monitoring video included in the video classification set has the same data transmission mode, and transmitting each target monitoring video included in the video classification set to a corresponding video receiving device based on the data transmission mode includes:
for each video classification set, determining a target data transmission channel corresponding to the video classification set in a plurality of data transmission channels configured in advance;
and for each video classification set, sequentially or synchronously transmitting each target monitoring video included in the video classification set to corresponding video receiving equipment on the basis of the target data transmission channel corresponding to the video classification set.
In some preferred embodiments, in the above monitoring data transmission method based on data processing, the step of determining, for each video classification set, a target data transmission channel corresponding to the video classification set in a plurality of data transmission channels configured in advance includes:
for each video classification set, determining the size relationship between the transmission matching degree and a preset transmission matching degree threshold value based on the transmission matching degree between the video data volume of each target monitoring video in the video classification set and each data transmission channel in a plurality of preset data transmission channels;
for each target surveillance video in each video classification set, determining whether at least one transmission matching degree which is greater than or equal to the transmission matching degree threshold exists in a plurality of transmission matching degrees corresponding to the target surveillance video, and determining a data transmission channel corresponding to the at least one transmission matching degree as a candidate data transmission channel of the target surveillance video when the at least one transmission matching degree which is greater than or equal to the transmission matching degree threshold exists, or determining a data transmission channel corresponding to the transmission matching degree with the maximum value as a candidate data transmission channel of the target surveillance video when the at least one transmission matching degree which is greater than or equal to the transmission matching degree threshold does not exist;
for each video classification set, for each candidate data transmission channel in the candidate data transmission channels of each target surveillance video included in the video classification set, determining the video number of the target surveillance video corresponding to the candidate data transmission channel in the video classification set, and determining the candidate data transmission channel corresponding to the video number with the maximum value as the target data transmission channel corresponding to the video classification set.
The embodiment of the invention also provides a monitoring data transmission system based on data processing, which is applied to a monitoring data processing server, wherein the monitoring data processing server is in communication connection with a plurality of monitoring terminal devices, and the monitoring data transmission system based on data processing comprises:
the to-be-processed video duplicate removal screening module is used for carrying out duplicate removal screening processing on the to-be-processed monitoring video sent by each monitoring terminal device in the plurality of acquired monitoring terminal devices based on the determined duplicate removal screening mode to obtain a plurality of corresponding target monitoring videos, wherein each monitoring terminal device is used for carrying out image information acquisition processing on the monitoring environment to which the monitoring terminal device is located to obtain the corresponding to-be-processed monitoring video;
the target monitoring video classification module is used for classifying the target monitoring videos to obtain at least one corresponding video classification set, wherein each video classification set comprises at least one target monitoring video;
and the target monitoring video transmission module is used for determining that each target monitoring video included in the video classification set has the same data transmission mode aiming at each video classification set, and transmitting each target monitoring video included in the video classification set to corresponding video receiving equipment based on the data transmission mode.
In some preferred embodiments, in the above monitoring data transmission system based on data processing, the target monitoring video classification module is specifically configured to:
determining target feature information corresponding to each target surveillance video in the target surveillance videos, and determining feature similarity between the target feature information corresponding to each two target surveillance videos;
and clustering the target monitoring videos to obtain at least one corresponding video classification set based on the feature similarity between the target feature information corresponding to every two target monitoring videos.
In some preferred embodiments, in the above monitoring data transmission system based on data processing, the target monitoring video transmission module is specifically configured to:
for each video classification set, determining a target data transmission channel corresponding to the video classification set in a plurality of data transmission channels configured in advance;
and for each video classification set, sequentially or synchronously transmitting each target monitoring video included in the video classification set to corresponding video receiving equipment on the basis of the target data transmission channel corresponding to the video classification set.
In the monitoring data transmission method and system based on data processing provided by the embodiment of the invention, after the duplicate removal screening processing is carried out on the to-be-processed monitoring video sent by each of the obtained multiple monitoring terminal devices to obtain the corresponding multiple target monitoring videos, a plurality of target surveillance videos may be classified to obtain at least one corresponding video classification set, so that for each video classification set, it can be determined that each target monitoring video included in the video classification set has the same data transmission mode, and transmitting each target monitoring video included in the video classification set to a corresponding video receiving device based on the data transmission mode, the target monitoring video is transmitted in a targeted manner, and the transmission effect can be guaranteed, so that the problem that the video transmission effect is poor due to the fact that the same transmission mode is adopted for various videos in the prior art is solved.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
Fig. 1 is a block diagram of a monitoring data processing server according to an embodiment of the present invention.
Fig. 2 is a schematic flowchart of steps included in a monitoring data transmission method based on data processing according to an embodiment of the present invention.
Fig. 3 is a block diagram of modules included in a monitoring data transmission system based on data processing according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, an embodiment of the present invention provides a monitoring data processing server. Wherein the monitoring data processing server may include a memory and a processor.
In detail, the memory and the processor are electrically connected directly or indirectly to realize data transmission or interaction. For example, they may be electrically connected to each other via one or more communication buses or signal lines. The memory can have stored therein at least one software function (computer program) which can be present in the form of software or firmware. The processor may be configured to execute the executable computer program stored in the memory, so as to implement the monitoring data transmission method based on data processing provided by the embodiment of the present invention.
It is understood that in some preferred embodiments, the Memory may be, but is not limited to, Random Access Memory (RAM), Read Only Memory (ROM), Programmable Read-Only Memory (PROM), Erasable Read-Only Memory (EPROM), electrically Erasable Read-Only Memory (EEPROM), and the like.
It is to be understood that, in some preferred embodiments, the Processor may be a general-purpose Processor including a Central Processing Unit (CPU), a Network Processor (NP), a System on Chip (SoC), etc.; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components.
With reference to fig. 2, an embodiment of the present invention further provides a monitoring data transmission method based on data processing, which is applicable to the monitoring data processing server. The method steps defined by the flow related to the monitoring data transmission method based on data processing can be realized by the monitoring data processing server, and the monitoring data processing server is in communication connection with a plurality of monitoring terminal devices.
The specific process shown in FIG. 2 will be described in detail below.
And S100, performing duplicate removal screening processing on the obtained to-be-processed monitoring video sent by each monitoring terminal device in the plurality of monitoring terminal devices based on the determined duplicate removal screening mode to obtain a plurality of corresponding target monitoring videos.
In the embodiment of the present invention, the monitoring data processing server may perform duplicate removal screening processing on the obtained to-be-processed monitoring video sent by each monitoring terminal device of the plurality of monitoring terminal devices based on the determined duplicate removal screening manner, so as to obtain the corresponding plurality of target monitoring videos. Each monitoring terminal device is used for acquiring and processing image information of the monitoring environment to obtain a corresponding to-be-processed monitoring video.
Step S200, classifying the target monitoring videos to obtain at least one corresponding video classification set.
In the embodiment of the present invention, the monitoring data processing server may classify the target monitoring videos to obtain at least one corresponding video classification set. Wherein each of the video classification sets includes at least one of the target surveillance videos.
Step S300, for each video classification set, determining that each target surveillance video included in the video classification set has the same data transmission mode, and transmitting each target surveillance video included in the video classification set to a corresponding video receiving device based on the data transmission mode.
In this embodiment of the present invention, the monitoring data processing server may determine, for each video classification set, that each target monitoring video included in the video classification set has the same data transmission mode, and transmit each target monitoring video included in the video classification set to a corresponding video receiving device based on the data transmission mode.
Based on the method, after the to-be-processed monitoring video sent by each of the obtained multiple monitoring terminal devices is subjected to duplicate removal screening processing to obtain the corresponding multiple target monitoring videos, a plurality of target surveillance videos may be classified to obtain at least one corresponding video classification set, so that for each video classification set, it can be determined that each target monitoring video included in the video classification set has the same data transmission mode, and transmitting each target monitoring video included in the video classification set to a corresponding video receiving device based on the data transmission mode, the target monitoring video is transmitted in a targeted manner, and the transmission effect can be guaranteed, so that the problem that the video transmission effect is poor due to the fact that the same transmission mode is adopted for various videos in the prior art is solved.
It is understood that, in some preferred embodiments, the step S100 in the above embodiments may include the following steps S110, S130 and S150.
Step S110, obtaining the to-be-processed monitoring video sent by each monitoring terminal device in the plurality of monitoring terminal devices.
In the embodiment of the present invention, the monitoring data processing server may obtain the to-be-processed monitoring video sent by each of the plurality of monitoring terminal devices, so that a plurality of to-be-processed monitoring videos may be obtained. Each monitoring terminal device is used for acquiring and processing image information of the monitoring environment to obtain a corresponding to-be-processed monitoring video.
Step S130, determining device correlation information among the plurality of monitoring terminal devices, and determining video correlation information among a plurality of to-be-processed monitoring videos corresponding to the plurality of monitoring terminal devices based on the device correlation information among the plurality of monitoring terminal devices.
In this embodiment of the present invention, the monitoring data processing server may first determine device correlation information between the plurality of monitoring terminal devices, and then determine video correlation information between a plurality of to-be-processed monitoring videos corresponding to the plurality of monitoring terminal devices based on the device correlation information between the plurality of monitoring terminal devices.
Step S150, determining a duplicate removal screening mode for carrying out duplicate removal screening processing on the plurality of monitored videos to be processed based on video correlation relation information among the plurality of monitored videos to be processed, and carrying out duplicate removal screening processing on the plurality of monitored videos to be processed based on the duplicate removal screening mode.
In the embodiment of the present invention, the monitoring data processing server may first determine, based on the video correlation relationship information between the multiple monitored videos to be processed, a duplicate removal screening manner for performing duplicate removal screening on the multiple monitored videos to be processed, and then perform duplicate removal screening on the multiple monitored videos to be processed based on the duplicate removal screening manner.
Based on the method, after the to-be-processed monitoring video sent by each monitoring terminal device is obtained, the device correlation relationship information among the multiple monitoring terminal devices can be determined, the video correlation relationship information among the corresponding multiple to-be-processed monitoring videos is determined based on the device correlation relationship information among the multiple monitoring terminal devices, so that the duplicate removal screening mode for performing duplicate removal screening processing can be determined based on the video correlation relationship information among the multiple to-be-processed monitoring videos, and the multiple to-be-processed monitoring videos are subjected to duplicate removal screening processing based on the duplicate removal screening mode, so that the determined duplicate removal screening mode and the obtained multiple to-be-processed monitoring videos have better association degrees, the reliability of the duplicate removal screening processing based on the determined duplicate removal screening mode is higher, and the screening result is better, therefore, the problem that the effect of duplicate removal screening on the monitoring video is poor in the prior art is solved.
It is understood that, in some preferred embodiments, the step S110 in the above embodiments may include the following steps to obtain the to-be-processed monitoring video sent by each monitoring terminal device:
firstly, when determining that image information acquisition processing needs to be carried out on a monitored environment, generating corresponding image acquisition notification information, and sending the image acquisition notification information to each monitoring terminal device, wherein each monitoring terminal device is used for carrying out image information acquisition processing on the monitored environment after receiving the image acquisition notification information to obtain a corresponding monitored video to be processed;
secondly, acquiring the to-be-processed monitoring videos acquired and sent by each monitoring terminal device based on the image acquisition notification information respectively to obtain a plurality of corresponding to-be-processed monitoring videos.
It can be understood that, in some preferred embodiments, the step of generating corresponding image acquisition notification information and sending the image acquisition notification information to each monitoring terminal device when it is determined that image information acquisition processing needs to be performed on the monitoring environment may include the following steps:
firstly, when determining that image information acquisition processing needs to be performed on a monitored environment, acquiring data transmission duration information (such as an average value of calculated historical transmission durations and the like) between the monitoring data processing server and each monitoring terminal device, and determining data transmission duration information with a maximum value from the obtained plurality of data transmission duration information;
secondly, determining target data transmission duration information which is greater than or equal to the data transmission duration information based on the data transmission duration information with the maximum value, and generating corresponding image acquisition notification information based on the target data transmission duration information;
and then sending the image acquisition notification information to each monitoring terminal device, wherein after receiving the image acquisition notification information, the monitoring terminal device starts to acquire image information of the monitoring environment based on the target data transmission duration information carried in the image acquisition notification information and the time information determined by the sending time of the image acquisition notification information, so as to obtain the corresponding to-be-processed monitoring video.
It can be understood that, in other preferred embodiments, the step of generating corresponding image acquisition notification information and sending the image acquisition notification information to each monitoring terminal device when it is determined that image information acquisition processing needs to be performed on the monitoring environment includes the following steps:
firstly, when determining that image information acquisition processing needs to be performed on a monitored environment, acquiring data transmission duration information (such as an average value of calculated historical transmission durations and the like) between the monitoring data processing server and each monitoring terminal device, and determining data transmission duration information with a maximum value from the obtained plurality of data transmission duration information;
secondly, determining target data transmission duration information which is greater than or equal to the data transmission duration information based on the data transmission duration information with the maximum value, and determining image acquisition time information based on the target data transmission duration information and target sending time information (for example, the image acquisition time information is the target sending time information plus the target data transmission duration information);
then, generating corresponding image acquisition notification information based on the image acquisition time information, and sending the image acquisition notification information to each monitoring terminal device based on the target sending time information, wherein each monitoring terminal device is configured to, after receiving the image acquisition notification information, start image information acquisition processing on a monitoring environment where the monitoring terminal device is located based on the image acquisition time information (i.e., the time when the image information acquisition processing is started) carried in the image acquisition notification information, so as to obtain a corresponding to-be-processed monitoring video.
It can be understood that, in some preferred embodiments, the step S130 in the above embodiments may include the following steps to determine video correlation relationship information between a plurality of to-be-processed monitoring videos corresponding to the plurality of monitoring terminal devices:
firstly, acquiring the device characteristic information of each monitoring terminal device in the plurality of monitoring terminal devices, and determining the device correlation relation information among the plurality of monitoring terminal devices based on the device characteristic information of each monitoring terminal device;
secondly, based on the device correlation information among the plurality of monitoring terminal devices, determining video correlation information (such as video correlation degree between every two monitoring terminal devices) among a plurality of to-be-processed monitoring videos corresponding to the plurality of monitoring terminal devices.
It is to be understood that, in some preferred embodiments, the step of obtaining the device feature information of each of the plurality of monitoring terminal devices and determining the device correlation relationship information between the plurality of monitoring terminal devices based on the device feature information of each monitoring terminal device may include the following steps:
firstly, aiming at each monitoring terminal device in the plurality of monitoring terminal devices, acquiring the device position of the monitoring terminal device, acquiring the device position information of the monitoring terminal device, acquiring the regional position of the monitoring environment where the monitoring terminal device is located, acquiring the regional position information of the monitoring terminal device, acquiring the environment background of the monitoring environment where the monitoring terminal device is located, and acquiring the environment background image of the monitoring terminal device;
secondly, calculating to obtain the device position distance information between the two monitoring terminal devices based on the device position information of the two monitoring terminal devices aiming at each two monitoring terminal devices in the plurality of monitoring terminal devices, and determining the first device correlation degree information between the two monitoring terminal devices based on the device position distance information;
then, for each two monitoring terminal devices in the plurality of monitoring terminal devices, calculating to obtain region position distance information between the two monitoring terminal devices based on the region position information of the two monitoring terminal devices, and determining second device correlation degree information between the two monitoring terminal devices based on the region position distance information;
then, for each two monitoring terminal devices in the plurality of monitoring terminal devices, calculating to obtain environment background similarity information between the two monitoring terminal devices based on the environment background images of the two monitoring terminal devices, and determining third device correlation degree information between the two monitoring terminal devices based on the environment background similarity information;
and finally, aiming at every two monitoring terminal devices in the plurality of monitoring terminal devices, carrying out fusion processing on the first device correlation degree information, the second device correlation degree information and the third device correlation degree information between the two monitoring terminal devices to obtain device correlation relation information between the two monitoring terminal devices.
It can be understood that, in some preferred embodiments, the step of, for each two monitoring terminal devices in the multiple monitoring terminal devices, performing fusion processing on the first device correlation degree information, the second device correlation degree information, and the third device correlation degree information between the two monitoring terminal devices to obtain device correlation relationship information between the two monitoring terminal devices may include the following steps:
firstly, determining a first weight coefficient, a second weight coefficient and a third weight coefficient which respectively correspond to the first device correlation degree information, the second device correlation degree information and the third device correlation degree information, wherein the first weight coefficient, the second weight coefficient and the third weight coefficient are 1 later, the first weight coefficient is smaller than the second weight coefficient, and the second weight coefficient is smaller than the third weight coefficient;
secondly, for every two monitoring terminal devices in the plurality of monitoring terminal devices, performing weighted summation calculation on the first device correlation degree information, the second device correlation degree information and the third device correlation degree information based on the first weight coefficient, the second weight coefficient and the third weight coefficient to obtain device correlation relation information between the two monitoring terminal devices.
It can be understood that, in some preferred embodiments, the step of determining video correlation relationship information between a plurality of to-be-processed monitoring videos corresponding to the plurality of monitoring terminal devices based on the device correlation relationship information between the plurality of monitoring terminal devices may include the following steps:
firstly, for each two monitoring terminal devices in the plurality of monitoring terminal devices, calculating a video data amount difference value between the to-be-processed monitoring videos of the two monitoring terminal devices, and determining a correlation adjustment coefficient between the two monitoring terminal devices based on the video data amount difference value, wherein the correlation adjustment coefficient and the video data amount difference value have a negative correlation, and all the correlation adjustment coefficients are less than or equal to 1 and greater than 0;
secondly, for each two monitoring terminal devices in the plurality of monitoring terminal devices, based on the correlation adjustment coefficient between the two monitoring terminal devices, the device correlation information between the two monitoring terminal devices is adjusted (for example, the correlation adjustment coefficient is multiplied by the device correlation information), so as to obtain the video correlation information between the two to-be-processed monitoring videos corresponding to the two monitoring terminal devices.
It is understood that, in some preferred embodiments, the step S150 in the above embodiments may include the following steps to perform the deduplication screening process on the plurality of to-be-processed surveillance videos based on the determined deduplication screening manner:
firstly, based on video correlation information among the multiple monitored videos to be processed, clustering the multiple monitored videos to be processed (for example, clustering by using a KNN algorithm, namely, a nearest neighbor algorithm) to obtain at least one corresponding monitored video cluster, and determining whether the number of the monitored videos to be processed included in each monitored video cluster is greater than a preset number, wherein each monitored video cluster includes at least one monitored video to be processed;
secondly, determining each monitoring video cluster with the number of the to-be-processed monitoring videos larger than the preset number (such as 1) as a target monitoring video cluster, and performing duplicate removal screening processing on every two to-be-processed monitoring videos in the target monitoring video cluster aiming at each target monitoring video cluster when at least one target monitoring video cluster exists.
It is to be understood that, in some preferred embodiments, the step of determining each monitored video cluster, in which the number of the monitored videos to be processed is greater than the preset number, as a target monitored video cluster, and performing, for each target monitored video cluster, a deduplication screening process on every two monitored videos to be processed in the target monitored video cluster when at least one target monitored video cluster exists may include the following steps:
firstly, determining each monitoring video cluster with the number of the monitoring videos to be processed larger than the preset number as a target monitoring video cluster;
secondly, when at least one target monitoring video cluster exists, aiming at each target monitoring video cluster, determining every two to-be-processed monitoring videos included in the target monitoring video cluster as a corresponding first to-be-processed monitoring video and a corresponding second to-be-processed monitoring video respectively, and performing target screening operation on the first to-be-processed monitoring video and the second to-be-processed monitoring video based on the similarity between the included environmental monitoring video frames to respectively obtain a corresponding first to-be-processed monitoring video segment and a corresponding second to-be-processed monitoring video segment, and performing duplicate screening processing on the first to-be-processed surveillance video segment and the second to-be-processed surveillance video segment (for example, screening one frame of two identical frames of environmental surveillance video frames, and configuring a corresponding index for the screened frame to be an environmental surveillance video frame of the other frame).
It will be appreciated that in some preferred embodiments, the target screening operation may comprise:
firstly, calculating the mean value of the similarity between each environmental monitoring video frame and each other environmental monitoring video frame in the first to-be-processed monitoring video, obtaining the mean value of the similarity corresponding to the environmental monitoring video frame, and determining a first environmental monitoring video frame and a second environmental monitoring video frame belonging to adjacent video frames in the first to-be-processed monitoring video based on the mean value of the similarity, wherein the first environmental monitoring video frame has the largest mean value of the similarity in the first to-be-processed monitoring video, and the frame timing of the second environmental monitoring video frame is located before the first environmental monitoring video frame (namely, a previous frame);
secondly, calculating the mean value of the similarity between each environmental monitoring video frame and each other environmental monitoring video frame in the second to-be-processed monitoring video, obtaining the mean value of the similarity corresponding to the environmental monitoring video frame, and determining a third environmental monitoring video frame and a fourth environmental monitoring video frame belonging to adjacent video frames in the second to-be-processed monitoring video based on the mean value of the similarity, wherein the third environmental monitoring video frame has the largest mean value of the similarity in the second to-be-processed monitoring video, and the frame timing sequence of the fourth environmental monitoring video frame is positioned before (i.e. the previous frame) the third environmental monitoring video frame;
then, in the first to-be-processed surveillance video, determining a first associated frame timing position (associated frame timing position related to the frame timing position of the first environmental surveillance video frame) of the frame timing position of the first environmental surveillance video frame, and in the second to-be-processed surveillance video, determining a second associated frame timing position (associated frame timing position related to the frame timing position of the third environmental surveillance video frame) of the frame timing position of the third environmental surveillance video frame, wherein a predetermined target feature exists between the first associated frame timing position and the second associated frame timing position;
and finally, obtaining a first to-be-processed monitoring video clip corresponding to the first to-be-processed monitoring video based on each frame of environment monitoring video frame between the first environment monitoring video frame and the environment monitoring video frame corresponding to the first correlation frame time sequence position, and obtaining a second to-be-processed monitoring video clip corresponding to the second to-be-processed monitoring video based on each frame of environment monitoring video frame between the third environment monitoring video frame and the environment monitoring video frame corresponding to the second correlation frame time sequence position.
It will be appreciated that in some preferred embodiments, the target features may include:
(one) the length difference between the frame timing position interval length between the first associated frame timing position and the frame timing position of the first environmental surveillance video frame and the frame timing position interval length between the second associated frame timing position and the frame timing position of the third environmental surveillance video frame is less than or equal to a preconfigured length threshold;
(II) the similarity between the environment monitoring video frame corresponding to the first associated frame time sequence position and the first environment monitoring video frame is greater than or equal to a preset similarity threshold, and the similarity between the environment monitoring video frame corresponding to the second associated frame time sequence position and the third environment monitoring video frame is greater than or equal to the similarity threshold;
and (iii) the similarity between the environmental surveillance video frame (i.e. the previous environmental surveillance video frame) corresponding to the previous adjacent frame time sequence position and the second environmental surveillance video frame is greater than or equal to the similarity threshold, and the similarity between the environmental surveillance video frame (i.e. the previous environmental surveillance video frame) corresponding to the previous adjacent frame time sequence position and the fourth environmental surveillance video frame corresponding to the second associated frame time sequence position is greater than or equal to the similarity threshold.
It is understood that, in some preferred embodiments, the step S200 in the above embodiments may include the following steps to classify the target surveillance videos into at least one corresponding video classification set:
firstly, determining target characteristic information corresponding to each target surveillance video in the multiple target surveillance videos, and determining characteristic similarity between the target characteristic information corresponding to each two target surveillance videos;
secondly, clustering (for example, based on a KNN algorithm in the prior art) the target surveillance videos to obtain at least one corresponding video classification set based on the feature similarity between the target feature information corresponding to every two target surveillance videos.
It is to be understood that, in some preferred embodiments, the step of determining, for each target surveillance video of the plurality of target surveillance videos, target feature information corresponding to the target surveillance video, and determining, for each two target surveillance videos, a feature similarity between the target feature information corresponding to the two target surveillance videos may include the following steps:
firstly, for each target surveillance video in the multiple target surveillance videos, determining at least one first environmental surveillance video frame (as a representative to reduce the amount of calculation) in multiple environmental surveillance video frames included in the target surveillance video;
secondly, for every two target surveillance videos in the multiple target surveillance videos, calculating video frame similarity (which may be an average value of video frame similarity between every two first environmental surveillance videos between the two target surveillance videos) between the at least one first environmental surveillance video frame of the two target surveillance videos to obtain video similarity between the two target surveillance videos;
then, for each two target surveillance videos in the multiple target surveillance videos, determining the video similarity between the two target surveillance videos as the feature similarity between the target feature information corresponding to the two target surveillance videos.
It is to be understood that, in some preferred embodiments, the step of determining, for each target surveillance video of the plurality of target surveillance videos, at least one first environmental surveillance video frame of the plurality of environmental surveillance video frames included in the target surveillance video may include the following steps:
firstly, for each frame of environmental surveillance video frame in each target surveillance video in the multiple target surveillance videos, calculating an average value of similarity between the environmental surveillance video frame and other environmental surveillance video frames in each frame of the target surveillance video (the target surveillance video in the environmental surveillance video frame), and determining the average value as a video frame similarity average value corresponding to the environmental surveillance video frame;
secondly, for each target surveillance video in the plurality of target surveillance videos, determining a maximum value in the video frame similarity mean value corresponding to each frame of environmental surveillance video frame in the target surveillance video, and for each target surveillance video in the plurality of target surveillance videos, determining one or more frames of environmental surveillance video frames with the maximum value in the target surveillance video as a first environmental surveillance video frame corresponding to the target surveillance video.
It is understood that, in some preferred embodiments, the step S300 in the above embodiments may include the following steps to transmit each target surveillance video included in the video classification set to a corresponding video receiving device:
firstly, regarding each video classification set, taking all the target monitoring videos included in the video classification set as a data packet (such as compression coding and the like) to obtain a video data packet corresponding to the video classification set;
secondly, aiming at each video data packet, the video data packet is transmitted to the corresponding video receiving equipment as a whole.
It is to be understood that, in other preferred embodiments, the step S300 in the above embodiments may include the following steps to transmit each target surveillance video included in the video classification set to a corresponding video receiving device:
firstly, aiming at each video classification set, determining a target data transmission channel corresponding to the video classification set in a plurality of data transmission channels configured in advance;
secondly, aiming at each video classification set, each target monitoring video included in the video classification set is sequentially or synchronously transmitted to corresponding video receiving equipment on the basis of the target data transmission channel corresponding to the video classification set.
It is to be understood that, in some preferred embodiments, the step of determining, for each video classification set, a target data transmission channel corresponding to the video classification set from among a plurality of data transmission channels configured in advance may include the following steps:
first, for each video classification set, based on a transmission matching degree between a video data amount of each target surveillance video in the video classification set and each data transmission channel in a plurality of data transmission channels configured in advance (for example, a normalized value of the video data amount and a normalized value of the number of transmission nodes included in the data transmission channel may be calculated, then, a ratio value between the normalized value of the video data amount and the normalized value of the number of transmission nodes is calculated, and a positive correlation value of the ratio value is taken as a corresponding transmission matching degree), and a magnitude relation between the transmission matching degree and a threshold value of the transmission matching degree configured in advance is determined;
secondly, determining whether at least one transmission matching degree which is greater than or equal to a transmission matching degree threshold exists in a plurality of transmission matching degrees corresponding to each target monitoring video in each video classification set, and determining a data transmission channel corresponding to the at least one transmission matching degree as a candidate data transmission channel of the target monitoring video when the at least one transmission matching degree which is greater than or equal to the transmission matching degree threshold exists, or determining a data transmission channel corresponding to the transmission matching degree with the maximum value as a candidate data transmission channel of the target monitoring video when the at least one transmission matching degree which is greater than or equal to the transmission matching degree threshold does not exist;
then, for each video classification set, for each candidate data transmission channel in the candidate data transmission channels of each target surveillance video included in the video classification set, determining the video number of the target surveillance video corresponding to the candidate data transmission channel in the video classification set, and determining the candidate data transmission channel corresponding to the video number with the maximum value as the target data transmission channel corresponding to the video classification set.
With reference to fig. 3, an embodiment of the present invention further provides a monitoring data transmission system based on data processing, which is applicable to the monitoring data processing server. The monitoring data transmission system based on data processing may include the following modules:
the to-be-processed video duplicate removal screening module is used for carrying out duplicate removal screening processing on the to-be-processed monitoring video sent by each monitoring terminal device in the plurality of acquired monitoring terminal devices based on the determined duplicate removal screening mode to obtain a plurality of corresponding target monitoring videos, wherein each monitoring terminal device is used for carrying out image information acquisition processing on the monitoring environment to which the monitoring terminal device is located to obtain the corresponding to-be-processed monitoring video;
the target monitoring video classification module is used for classifying the target monitoring videos to obtain at least one corresponding video classification set, wherein each video classification set comprises at least one target monitoring video;
and the target monitoring video transmission module is used for determining that each target monitoring video included in the video classification set has the same data transmission mode aiming at each video classification set, and transmitting each target monitoring video included in the video classification set to corresponding video receiving equipment based on the data transmission mode.
It is to be understood that, in some preferred embodiments, the target surveillance video classification module in the foregoing embodiments is specifically configured to: determining target feature information corresponding to each target surveillance video in the target surveillance videos, and determining feature similarity between the target feature information corresponding to each two target surveillance videos; and clustering the target monitoring videos to obtain at least one corresponding video classification set based on the feature similarity between the target feature information corresponding to every two target monitoring videos.
It can be understood that, in some preferred embodiments, the target monitoring video transmission module in the foregoing embodiments is specifically configured to: for each video classification set, determining a target data transmission channel corresponding to the video classification set in a plurality of data transmission channels configured in advance; and for each video classification set, sequentially or synchronously transmitting each target monitoring video included in the video classification set to corresponding video receiving equipment on the basis of the target data transmission channel corresponding to the video classification set.
In summary, the present invention provides a monitoring data transmission method and system based on data processing, after the acquired to-be-processed monitoring video sent by each monitoring terminal device in the plurality of monitoring terminal devices is subjected to duplicate removal screening processing to obtain a plurality of corresponding target monitoring videos, a plurality of target surveillance videos may be classified to obtain at least one corresponding video classification set, so that for each video classification set, it can be determined that each target monitoring video included in the video classification set has the same data transmission mode, and transmitting each target monitoring video included in the video classification set to a corresponding video receiving device based on the data transmission mode, the target monitoring video is transmitted in a targeted manner, and the transmission effect can be guaranteed, so that the problem that the video transmission effect is poor due to the fact that the same transmission mode is adopted for various videos in the prior art is solved.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A monitoring data transmission method based on data processing is characterized in that the method is applied to a monitoring data processing server, the monitoring data processing server is in communication connection with a plurality of monitoring terminal devices, and the monitoring data transmission method based on data processing comprises the following steps:
performing duplicate removal screening processing on the to-be-processed monitoring video sent by each of the plurality of acquired monitoring terminal devices based on the determined duplicate removal screening manner to obtain a plurality of corresponding target monitoring videos, wherein each monitoring terminal device is used for performing image information acquisition processing on the monitoring environment to obtain the corresponding to-be-processed monitoring video;
classifying the target monitoring videos to obtain at least one corresponding video classification set, wherein each video classification set comprises at least one target monitoring video;
and aiming at each video classification set, determining that each target monitoring video included in the video classification set has the same data transmission mode, and transmitting each target monitoring video included in the video classification set to corresponding video receiving equipment based on the data transmission mode.
2. The method for transmitting monitoring data based on data processing as claimed in claim 1, wherein the step of classifying the target monitoring videos to obtain at least one video classification set includes:
determining target feature information corresponding to each target surveillance video in the target surveillance videos, and determining feature similarity between the target feature information corresponding to each two target surveillance videos;
and clustering the target monitoring videos to obtain at least one corresponding video classification set based on the feature similarity between the target feature information corresponding to every two target monitoring videos.
3. The method for transmitting monitoring data based on data processing according to claim 2, wherein the step of determining, for each target monitoring video of the plurality of target monitoring videos, target feature information corresponding to the target monitoring video, and determining, for each two target monitoring videos, a feature similarity between the target feature information corresponding to the two target monitoring videos includes:
determining at least one first environmental monitoring video frame in a plurality of environmental monitoring video frames included in the target monitoring video aiming at each target monitoring video in the plurality of target monitoring videos;
calculating the video frame similarity between the at least one frame of first environment monitoring video frames of the two target monitoring videos aiming at every two target monitoring videos in the plurality of target monitoring videos to obtain the video similarity between the two target monitoring videos;
and determining the video similarity between the two target monitoring videos as the feature similarity between the target feature information corresponding to the two target monitoring videos aiming at each two target monitoring videos in the plurality of target monitoring videos.
4. The data processing-based surveillance data transmission method according to claim 3, wherein the step of determining, for each of the plurality of target surveillance videos, at least one first environmental surveillance video frame of the plurality of environmental surveillance video frames included in the target surveillance video comprises:
calculating an average value of the similarity between each environmental monitoring video frame and other environmental monitoring video frames in each target monitoring video in the target monitoring videos, and determining the average value as a video frame similarity average value corresponding to the environmental monitoring video frame;
determining the maximum value of video frame similarity mean values corresponding to each frame of environmental monitoring video frames in the target monitoring video aiming at each target monitoring video in the plurality of target monitoring videos;
and determining one or more frames of the environmental monitoring video frames with the maximum value in the target monitoring video as the first environmental monitoring video frame corresponding to the target monitoring video aiming at each target monitoring video in the plurality of target monitoring videos.
5. The method for transmitting monitoring data based on data processing as claimed in any of claims 1-4, wherein the step of determining, for each of the video classification sets, that each of the target monitoring videos included in the video classification set has the same data transmission mode, and transmitting each of the target monitoring videos included in the video classification set to a corresponding video receiving device based on the data transmission mode includes:
regarding each video classification set, taking all the target monitoring videos included in the video classification set as a data packet to obtain a video data packet corresponding to the video classification set;
and transmitting each video data packet to corresponding video receiving equipment as a whole.
6. The method for transmitting monitoring data based on data processing as claimed in any of claims 1-4, wherein the step of determining, for each of the video classification sets, that each of the target monitoring videos included in the video classification set has the same data transmission mode, and transmitting each of the target monitoring videos included in the video classification set to a corresponding video receiving device based on the data transmission mode includes:
for each video classification set, determining a target data transmission channel corresponding to the video classification set in a plurality of data transmission channels configured in advance;
and for each video classification set, sequentially or synchronously transmitting each target monitoring video included in the video classification set to corresponding video receiving equipment on the basis of the target data transmission channel corresponding to the video classification set.
7. The method for transmitting monitoring data based on data processing as claimed in claim 6, wherein the step of determining, for each video classification set, a target data transmission channel corresponding to the video classification set from a plurality of pre-configured data transmission channels comprises:
for each video classification set, determining the size relationship between the transmission matching degree and a preset transmission matching degree threshold value based on the transmission matching degree between the video data volume of each target monitoring video in the video classification set and each data transmission channel in a plurality of preset data transmission channels;
for each target surveillance video in each video classification set, determining whether at least one transmission matching degree which is greater than or equal to the transmission matching degree threshold exists in a plurality of transmission matching degrees corresponding to the target surveillance video, and determining a data transmission channel corresponding to the at least one transmission matching degree as a candidate data transmission channel of the target surveillance video when the at least one transmission matching degree which is greater than or equal to the transmission matching degree threshold exists, or determining a data transmission channel corresponding to the transmission matching degree with the maximum value as a candidate data transmission channel of the target surveillance video when the at least one transmission matching degree which is greater than or equal to the transmission matching degree threshold does not exist;
for each video classification set, for each candidate data transmission channel in the candidate data transmission channels of each target surveillance video included in the video classification set, determining the video number of the target surveillance video corresponding to the candidate data transmission channel in the video classification set, and determining the candidate data transmission channel corresponding to the video number with the maximum value as the target data transmission channel corresponding to the video classification set.
8. The utility model provides a control data transmission system based on data processing which characterized in that is applied to control data processing server, control data processing server communication connection has a plurality of monitor terminal equipment, control data transmission system based on data processing includes:
the to-be-processed video duplicate removal screening module is used for carrying out duplicate removal screening processing on the to-be-processed monitoring video sent by each monitoring terminal device in the plurality of acquired monitoring terminal devices based on the determined duplicate removal screening mode to obtain a plurality of corresponding target monitoring videos, wherein each monitoring terminal device is used for carrying out image information acquisition processing on the monitoring environment to which the monitoring terminal device is located to obtain the corresponding to-be-processed monitoring video;
the target monitoring video classification module is used for classifying the target monitoring videos to obtain at least one corresponding video classification set, wherein each video classification set comprises at least one target monitoring video;
and the target monitoring video transmission module is used for determining that each target monitoring video included in the video classification set has the same data transmission mode aiming at each video classification set, and transmitting each target monitoring video included in the video classification set to corresponding video receiving equipment based on the data transmission mode.
9. The data processing-based surveillance data transmission system of claim 8, wherein the target surveillance video classification module is specifically configured to:
determining target feature information corresponding to each target surveillance video in the target surveillance videos, and determining feature similarity between the target feature information corresponding to each two target surveillance videos;
and clustering the target monitoring videos to obtain at least one corresponding video classification set based on the feature similarity between the target feature information corresponding to every two target monitoring videos.
10. The data processing-based surveillance data transmission system of claim 8, wherein the target surveillance video transmission module is specifically configured to:
for each video classification set, determining a target data transmission channel corresponding to the video classification set in a plurality of data transmission channels configured in advance;
and for each video classification set, sequentially or synchronously transmitting each target monitoring video included in the video classification set to corresponding video receiving equipment on the basis of the target data transmission channel corresponding to the video classification set.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111209803.4A CN114140710A (en) | 2021-10-18 | 2021-10-18 | Monitoring data transmission method and system based on data processing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111209803.4A CN114140710A (en) | 2021-10-18 | 2021-10-18 | Monitoring data transmission method and system based on data processing |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114140710A true CN114140710A (en) | 2022-03-04 |
Family
ID=80394285
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111209803.4A Withdrawn CN114140710A (en) | 2021-10-18 | 2021-10-18 | Monitoring data transmission method and system based on data processing |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114140710A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114418555A (en) * | 2022-03-28 | 2022-04-29 | 四川高速公路建设开发集团有限公司 | Project information management method and system applied to intelligent construction |
| CN114815857A (en) * | 2022-06-28 | 2022-07-29 | 广东邦盛北斗科技股份公司 | Intelligent agricultural machinery management method and system based on Beidou navigation and cloud platform |
| CN115658946A (en) * | 2022-10-31 | 2023-01-31 | 四川港投川南港务运营(集团)有限公司 | Monitoring data visualization method and system based on 5G internet |
-
2021
- 2021-10-18 CN CN202111209803.4A patent/CN114140710A/en not_active Withdrawn
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114418555A (en) * | 2022-03-28 | 2022-04-29 | 四川高速公路建设开发集团有限公司 | Project information management method and system applied to intelligent construction |
| CN114418555B (en) * | 2022-03-28 | 2022-06-07 | 四川高速公路建设开发集团有限公司 | Project information management method and system applied to intelligent construction |
| CN114815857A (en) * | 2022-06-28 | 2022-07-29 | 广东邦盛北斗科技股份公司 | Intelligent agricultural machinery management method and system based on Beidou navigation and cloud platform |
| CN114815857B (en) * | 2022-06-28 | 2022-10-11 | 广东邦盛北斗科技股份公司 | Intelligent agricultural machinery management method and system based on Beidou navigation and cloud platform |
| CN115658946A (en) * | 2022-10-31 | 2023-01-31 | 四川港投川南港务运营(集团)有限公司 | Monitoring data visualization method and system based on 5G internet |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114140710A (en) | Monitoring data transmission method and system based on data processing | |
| CN114140713A (en) | Image recognition system and image recognition method | |
| CN114581856B (en) | Agricultural unit motion state identification method and system based on Beidou system and cloud platform | |
| CN113868471A (en) | Data matching method and system based on monitoring equipment relationship | |
| CN114140712A (en) | Automatic image recognition and distribution system and method | |
| CN114155459A (en) | Smart city monitoring method and system based on data analysis | |
| CN114697618A (en) | Building control method and system based on mobile terminal | |
| CN113645305A (en) | Method and system for determining transmission node of data of Internet of things | |
| CN114139016A (en) | Data processing method and system for intelligent cell | |
| CN114189535A (en) | Service request method and system based on smart city data | |
| CN113676362A (en) | Internet of things equipment binding method and system based on data processing | |
| CN113612645A (en) | Internet of things data processing method and system | |
| CN113949881A (en) | Service processing method and system based on smart city data | |
| CN114095734A (en) | User data compression method and system based on data processing | |
| CN116821777A (en) | Novel basic mapping data integration method and system | |
| CN115620243B (en) | Pollution source monitoring method and system based on artificial intelligence and cloud platform | |
| CN114140709A (en) | Monitoring data distribution method and system based on data processing | |
| CN114140741A (en) | Monitoring data processing method based on data processing | |
| CN115375886A (en) | Data acquisition method and system based on cloud computing service | |
| CN115457467A (en) | Building quality hidden danger positioning method and system based on data mining | |
| CN115147134A (en) | Product anti-counterfeiting tracing method and system based on industrial Internet and cloud platform | |
| CN114153654A (en) | User data backup method and system based on data processing | |
| CN114157833A (en) | Monitoring data transmission method and system for smart city | |
| CN114173086A (en) | User data screening method based on data processing | |
| CN113868339A (en) | Data synchronization method and system based on monitoring equipment relationship |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20220304 |