CN116504039A - Abnormality identification method and device for indoor equipment and electronic equipment - Google Patents
Abnormality identification method and device for indoor equipment and electronic equipment Download PDFInfo
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- 230000005856 abnormality Effects 0.000 title claims abstract description 20
- 238000011835 investigation Methods 0.000 claims abstract description 54
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- 238000012544 monitoring process Methods 0.000 claims description 23
- 238000001514 detection method Methods 0.000 claims description 10
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/185—Electrical failure alarms
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract
The invention discloses an abnormality identification method and device for indoor equipment and electronic equipment, wherein the method comprises the steps of acquiring equipment information of all the electronic equipment in a preset area every time a preset duration passes, and generating an investigation path based on the equipment information; continuously acquiring an equipment map based on the investigation path, analyzing the equipment map, and determining the equipment state of each electronic equipment; when the equipment state is characterized as abnormal, generating warning information based on the equipment map, and sending the warning information to a preset terminal. According to the invention, manual investigation is not needed, the abnormality of the equipment in the machine room can be monitored for 24 hours, the abnormality can be found out in time and fed back, and the abnormality processing efficiency is high. In addition, according to the difference in the old degree, the fault frequency and the like of each electronic device, the investigation path of the map acquisition is continuously adjusted, so that the equipment which is easy to cause problems is monitored with emphasis, and the exception handling efficiency is further improved.
Description
Technical Field
The application relates to the technical field of map recognition, in particular to an abnormality recognition method and device for indoor equipment and electronic equipment.
Background
In indoor environments, especially in machine rooms, storehouses, and the like, a large amount of electronic equipment operation work is generally set intensively. Because the precision degree of the electronic equipment is higher, faults are easy to occur, and in order to ensure the normal operation of the machine room, a plurality of workers are generally arranged to check the equipment in the machine room according to the scheduling in turn. The electronic equipment works normally in most of the time, workers cannot perform uninterrupted walking investigation in a machine room, and generally perform integral investigation at fixed time intervals, so that the electronic equipment cannot be found timely when abnormal conditions occur, the absolute temperature of partial electronic equipment is not high when the temperature of the partial electronic equipment is abnormal, the abnormal conditions are difficult to find timely in a manual investigation mode, and waste of human resources is caused. In addition, for some specific electronic equipment, the common staff can not judge and maintain the abnormality even if finding the abnormality in time, and an expert is additionally required to sit on duty, so that waste of manpower and material resources is further caused.
Disclosure of Invention
In order to solve the above problems, embodiments of the present application provide an anomaly identification method and apparatus for an indoor device, and an electronic device.
In a first aspect, an embodiment of the present application provides an anomaly identification method for an indoor device, where the method includes:
acquiring equipment information of all electronic equipment in a preset area every time a preset duration passes, and generating an investigation path based on the equipment information;
continuously acquiring an equipment map based on the investigation path, analyzing the equipment map, and determining the equipment state of each electronic equipment;
when the equipment state is characterized as abnormal, generating warning information based on the equipment map, and sending the warning information to a preset terminal.
Preferably, the acquiring the device information of all the electronic devices in the preset area after the preset time length, and generating the investigation path based on each piece of device information, includes:
acquiring equipment information of all electronic equipment in a preset area every time a preset duration passes, wherein the equipment information comprises equipment category, equipment history fault information and equipment input use time;
calculating detection weights of the electronic equipment based on the equipment category, the equipment history fault information and the equipment input use time respectively, and calculating final weights of the electronic equipment according to the detection weights;
and generating an investigation path based on each final weight.
Preferably, the generating an investigation path based on each final weight includes:
comparing the final weights to determine the monitoring priority of each electronic device;
and distributing monitoring duration proportion to each electronic device according to each monitoring priority, and generating an investigation path based on each monitoring duration proportion.
Preferably, the continuously collecting the device map based on the investigation path, analyzing the device map, and determining the device status of each electronic device includes:
continuously acquiring an equipment map based on the investigation path, and analyzing the equipment map to obtain equipment index parameter information, wherein the equipment index parameter information comprises temperature, indicator lamp color and material;
and comparing each index parameter in the equipment index parameter information with a standard index parameter respectively to determine the equipment state of each electronic equipment.
Preferably, when the equipment state is characterized as abnormal, generating warning information based on the equipment map, and sending the warning information to a preset terminal, including:
determining a coordinate location of an abnormal electronic device based on the device map when the device state is characterized as abnormal;
generating warning information according to the coordinate position and the equipment state, and sending the warning information to a preset terminal.
Preferably, after the sending the warning information to the preset terminal, the method further includes:
and updating the device information after the device state is characterized as normal.
Preferably, the method further comprises:
when a control instruction is received, a control target is determined, and a control instruction is sent to the control target based on the control instruction, so that the control target can complete a preset control action.
In a second aspect, an embodiment of the present application provides an abnormality identifying apparatus for an indoor device, where the apparatus includes:
the device comprises an acquisition module, a search module and a search module, wherein the acquisition module is used for acquiring device information of all electronic devices in a preset area every time a preset duration passes, and generating an investigation path based on the device information;
the acquisition module is used for continuously acquiring an equipment map based on the investigation path, analyzing the equipment map and determining the equipment state of each electronic equipment;
and the generation module is used for generating warning information based on the equipment map and sending the warning information to a preset terminal when the equipment state is characterized as abnormal.
In a third aspect, an embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method as provided in the first aspect or any one of the possible implementations of the first aspect when the computer program is executed.
In a fourth aspect, embodiments of the present application provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method as provided by the first aspect or any one of the possible implementations of the first aspect.
The beneficial effects of the invention are as follows: the equipment in the machine room can be monitored abnormally in 24 hours without manual investigation, abnormality can be found timely and fed back, and the abnormality treatment efficiency is high. In addition, according to the difference in the old degree, the fault frequency and the like of each electronic device, the investigation path of the map acquisition is continuously adjusted, so that the equipment which is easy to cause problems is monitored with emphasis, and the exception handling efficiency is further improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of an anomaly identification method for an indoor device according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of an abnormality recognition device for an indoor device according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.
In the following description, the terms "first," "second," and "first," are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. The following description provides various embodiments of the present application, and various embodiments may be substituted or combined, so that the present application is also intended to encompass all possible combinations of the same and/or different embodiments described. Thus, if one embodiment includes feature A, B, C and another embodiment includes feature B, D, then the present application should also be considered to include embodiments that include one or more of all other possible combinations including A, B, C, D, although such an embodiment may not be explicitly recited in the following.
The following description provides examples and does not limit the scope, applicability, or examples set forth in the claims. Changes may be made in the function and arrangement of elements described without departing from the scope of the application. Various examples may omit, replace, or add various procedures or components as appropriate. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Furthermore, features described with respect to some examples may be combined into other examples.
Referring to fig. 1, fig. 1 is a flowchart of an abnormality identification method for an indoor device according to an embodiment of the present application. In an embodiment of the present application, the method includes:
s101, acquiring equipment information of all electronic equipment in a preset area every time a preset duration passes, and generating an investigation path based on the equipment information.
The execution subject of the application may be a server electrically connected with a camera in the machine room.
In this embodiment of the present application, for each electronic device in the machine room, the model, manufacturer, and function to be implemented may all be different, so the probability of occurrence of abnormality of different electronic devices is different. The method and the device can acquire the device information of all the electronic devices in the preset area (namely the machine room), so that the actual situation of each electronic device is judged, and then an investigation path is generated according to the judgment result, so that the electronic devices which are easy to be abnormal in the investigation process can be monitored and investigated in a key mode. In addition, since the device information of the electronic device may change over time, and further affect the importance of monitoring, after a preset period of time, the device information will be acquired again to generate a new investigation path.
In one embodiment, step S101 includes:
acquiring equipment information of all electronic equipment in a preset area every time a preset duration passes, wherein the equipment information comprises equipment category, equipment history fault information and equipment input use time;
calculating detection weights of the electronic equipment based on the equipment category, the equipment history fault information and the equipment input use time respectively, and calculating final weights of the electronic equipment according to the detection weights;
and generating an investigation path based on each final weight.
In the embodiment of the application, the equipment information comprises equipment category, equipment history fault information and equipment input using time. Electronic devices of certain device classes may be more prone to anomalies and are an object of great concern. In addition, the number of times the electronic device has failed and the time of occurrence of the failure can be determined through the device history failure information. The time of equipment in use can be used for determining how long the equipment has been in use, and for new equipment which has just been in use, because it is unclear whether the state is stable, important monitoring will be required, and for old equipment which has been in use for several years, the equipment will be more prone to failure, and important monitoring will also be required. In summary, according to the specific data of each item of information in the device information, the detection weight of the electronic device is calculated based on each item of data, and then the final weight of the electronic device is obtained by integrating and calculating each detection weight corresponding to each item of information. The investigation path is generated according to the final weight of each electronic device, so that the investigation path can monitor and cover the electronic devices with higher weights for a longer time.
In one embodiment, the generating the investigation path based on each of the final weights includes:
comparing the final weights to determine the monitoring priority of each electronic device;
and distributing monitoring duration proportion to each electronic device according to each monitoring priority, and generating an investigation path based on each monitoring duration proportion.
In the embodiment of the application, after the final weight is calculated, the monitoring priority of each electronic device is determined through the numerical comparison of the final weights, so that a corresponding monitoring duration proportion is allocated to each electronic device according to the monitoring priority, and an investigation path is generated. In the finally generated investigation path, the electronic equipment with higher priority is monitored for a longer time through the camera. The specific monitoring mode can be that the camera stops once for a long time to perform map recognition, or can be through the cross arrangement of paths, so that the camera can pass through the electronic equipment for many times in the moving process of the single investigation path.
S102, continuously acquiring an equipment map based on the investigation path, analyzing the equipment map, and determining the equipment state of each electronic equipment.
In the embodiment of the application, a single camera or a plurality of cameras connected with a server are arranged in a machine room, and the server can continuously collect equipment maps according to an investigation path by controlling the movement or rotation of the cameras. By analyzing the equipment map, the equipment state of the electronic equipment can be judged, and whether the electronic equipment is abnormal or not is further determined. The camera may be fixed, or may be movable by being mounted on a top rail or the like. Because the camera acquires the map information of the equipment, which contains the visible light map and the non-visible light map, and the parameter information such as the temperature of the electronic equipment is determined through analysis of the maps, the investigation path actually determines the equipment map acquisition sequence and acquisition time of each equipment, the equipment needing to be monitored in a key way can be repeatedly monitored by setting a repeated route, and the acquisition angle of the camera has little influence on the result. So for the movable camera, it can directly move according to the investigation path to collect the equipment map. For a fixed camera, the acquisition process of the investigation path can be realized through the rotation fit of lenses of a plurality of cameras.
In one embodiment, step S102 includes:
continuously acquiring an equipment map based on the investigation path, and analyzing the equipment map to obtain equipment index parameter information, wherein the equipment index parameter information comprises temperature, indicator lamp color and material;
and comparing each index parameter in the equipment index parameter information with a standard index parameter respectively to determine the equipment state of each electronic equipment.
In the embodiment of the application, based on analysis of the acquired equipment map, equipment index parameter information including temperature, indicator light color and material quality can be obtained. Taking the temperature as an example, the temperature of the electronic equipment can be identified from the corresponding hot spots in the infrared spectrum through analyzing the equipment spectrum. The color of the indicator lamp and the material of the surface of the electronic equipment can be identified through the visible light spectrum and the ultraviolet light spectrum. When the electronic equipment is in a normal working state, the corresponding index parameters of the electronic equipment are corresponding to the standard index parameters of the electronic equipment, so that the equipment state of each electronic equipment can be determined through comparison of the index parameters and the standard index parameters.
And S103, generating warning information based on the equipment map when the equipment state is characterized as abnormal, and sending the warning information to a preset terminal.
In the embodiment of the application, after the equipment state is determined, the current state condition of the equipment can be judged according to the data corresponding to the equipment state, and if the equipment state is characterized as abnormal, the electronic equipment is considered to be abnormal, and a worker is required to go to check and maintain. Therefore, the warning information is generated according to the equipment map of the electronic equipment and is sent to the terminal corresponding to the preset staff, and the terminal can be a mobile phone terminal or a computer terminal.
In one embodiment, step S103 includes:
determining a coordinate location of an abnormal electronic device based on the device map when the device state is characterized as abnormal;
generating warning information according to the coordinate position and the equipment state, and sending the warning information to a preset terminal.
In the embodiment of the application, after the electronic equipment with abnormal equipment state is determined, the position of the camera during acquisition is determined according to the acquisition time of the equipment map corresponding to the equipment state, and then the coordinate position of the abnormal electronic equipment with problems is determined. The server generates warning information according to the coordinate position and the equipment state, and sends the warning information to a preset terminal used by a worker, so that the worker can quickly confirm the electronic equipment with problems according to the warning information, and can primarily know which aspect of faults occurs to the electronic equipment.
In an implementation manner, after the sending the warning information to the preset terminal, the method further includes:
and updating the device information after the device state is characterized as normal.
In the embodiment of the application, after the equipment state of the abnormal electronic equipment is restored to normal, the server considers that the staff has maintained the electronic equipment, and at the moment, the equipment information is updated so as to facilitate the accuracy of the equipment information according to the subsequent investigation path generation process.
In one embodiment, the method further comprises:
when a control instruction is received, a control target is determined, and a control instruction is sent to the control target based on the control instruction, so that the control target can complete a preset control action.
In some cases, the device is abnormal and serious, for example, the color of an indicator light changes from green to yellow, and the device can be recovered to be normal only by restarting the device. If the machine room is far away, the efficiency of the processing mode for restarting the equipment is low only if the staff personally goes to the machine room. Therefore, devices such as a mechanical arm and the like can be arranged beside the electronic equipment, after receiving a control instruction sent by a worker, the server can send the control instruction to a control target, namely the corresponding mechanical arm, so that the control instruction completes a preset operation action to restart the electronic equipment, and therefore the remote processing of the worker on some simple problems is realized, and the worker does not need to go to the device in person without any problem.
The following describes in detail the abnormality recognition device for indoor equipment provided in the embodiment of the present application with reference to fig. 2. It should be noted that, the abnormality recognition device of the indoor device shown in fig. 2 is used to execute the method of the embodiment shown in fig. 1 of the present application, and for convenience of explanation, only the portion relevant to the embodiment of the present application is shown, and specific technical details are not disclosed, please refer to the embodiment shown in fig. 1 of the present application.
Referring to fig. 2, fig. 2 is a schematic structural diagram of an abnormality identifying device for an indoor device according to an embodiment of the present application. As shown in fig. 2, the apparatus includes:
an obtaining module 201, configured to obtain device information of all electronic devices in a preset area every time a preset duration passes, and generate an investigation path based on each piece of device information;
the acquisition module 202 is configured to continuously acquire an equipment map based on the investigation path, analyze the equipment map, and determine an equipment state of each electronic equipment;
and the generating module 203 is configured to generate warning information based on the device map and send the warning information to a preset terminal when the device state is characterized as abnormal.
In one embodiment, the acquisition module 201 includes:
the device comprises an acquisition unit, a storage unit and a control unit, wherein the acquisition unit is used for acquiring device information of all electronic devices in a preset area every time a preset duration passes, and the device information comprises device types, device history fault information and device input use time;
a weight calculation unit, configured to calculate detection weights of the electronic devices based on the device category, the device history fault information, and the device input use time, respectively, and calculate final weights of the electronic devices according to the detection weights;
and the generation unit is used for generating an investigation path based on each final weight.
In one embodiment, the generating unit includes:
a comparing element for comparing each of the final weights to determine a monitoring priority of each of the electronic devices;
the generation element is used for distributing monitoring duration proportion to the electronic equipment according to the monitoring priority and generating an investigation path based on the monitoring duration proportion.
In one embodiment, the acquisition module 202 includes:
the acquisition unit is used for continuously acquiring an equipment map based on the investigation path and analyzing the equipment map to obtain equipment index parameter information, wherein the equipment index parameter information comprises temperature, indicator lamp color and materials;
and the comparison unit is used for respectively comparing each index parameter in the equipment index parameter information with the standard index parameter to determine the equipment state of each electronic equipment.
In one embodiment, the generating module 203 includes:
a determining unit configured to determine a coordinate position of an abnormal electronic device based on the device map when the device state is characterized as abnormal;
and the sending unit is used for generating warning information according to the coordinate position and the equipment state and sending the warning information to a preset terminal.
In one embodiment, the apparatus further comprises:
and the updating module is used for updating the equipment information after the equipment state is characterized as normal.
In one embodiment, the apparatus further comprises:
and the sending module is used for sending a control instruction to enable the control target to finish a preset control action.
It will be apparent to those skilled in the art that the embodiments of the present application may be implemented in software and/or hardware. "Unit" and "module" in this specification refer to software and/or hardware capable of performing a particular function, either alone or in combination with other components, such as Field programmable gate arrays (Field-Programmable Gate Array, FPGAs), integrated circuits (IntegratedCircuit, IC), and the like.
The processing units and/or modules of the embodiments of the present application may be implemented by an analog circuit that implements the functions described in the embodiments of the present application, or may be implemented by software that executes the functions described in the embodiments of the present application.
Referring to fig. 3, a schematic structural diagram of an electronic device according to an embodiment of the present application is shown, where the electronic device may be used to implement the method in the embodiment shown in fig. 1. As shown in fig. 3, the electronic device 300 may include: at least one central processor 301, at least one network interface 304, a user interface 303, a memory 305, at least one communication bus 302.
Wherein the communication bus 302 is used to enable connected communication between these components.
The user interface 303 may include a Display screen (Display), a Camera (Camera), and the optional user interface 303 may further include a standard wired interface, and a wireless interface.
The network interface 304 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.
Wherein the central processor 301 may comprise one or more processing cores. The central processor 301 connects the various parts within the overall electronic device 300 using various interfaces and lines, performs various functions of the terminal 300 and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 305, and invoking data stored in the memory 305. Alternatively, the central processor 301 may be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), programmable logic array (ProgrammableLogic Array, PLA). The central processor 301 may integrate one or a combination of several of a central processor (Central Processing Unit, CPU), an image central processor (Graphics Processing Unit, GPU), and a modem, etc. The CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It will be appreciated that the modem may not be integrated into the cpu 301 and may be implemented by a single chip.
The memory 305 may include a random access memory (Random Access Memory, RAM) or a Read-only memory (Read-only memory). Optionally, the memory 305 includes a non-transitory computer readable medium (non-transitory computer-readable storage medium). Memory 305 may be used to store instructions, programs, code, sets of codes, or sets of instructions. The memory 305 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-described respective method embodiments, etc.; the storage data area may store data or the like referred to in the above respective method embodiments. The memory 305 may also optionally be at least one storage device located remotely from the aforementioned central processor 301. As shown in fig. 3, an operating system, a network communication module, a user interface module, and program instructions may be included in the memory 305, which is a type of computer storage medium.
In the electronic device 300 shown in fig. 3, the user interface 303 is mainly used for providing an input interface for a user, and acquiring data input by the user; and the central processor 301 may be configured to call an abnormality recognition application program of the indoor device stored in the memory 305, and specifically perform the following operations:
acquiring equipment information of all electronic equipment in a preset area every time a preset duration passes, and generating an investigation path based on the equipment information;
continuously acquiring an equipment map based on the investigation path, analyzing the equipment map, and determining the equipment state of each electronic equipment;
when the equipment state is characterized as abnormal, generating warning information based on the equipment map, and sending the warning information to a preset terminal.
The present application also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of the above method. The computer readable storage medium may include, among other things, any type of disk including floppy disks, optical disks, DVDs, CD-ROMs, micro-drives, and magneto-optical disks, ROM, RAM, EPROM, EEPROM, DRAM, VRAM, flash memory devices, magnetic or optical cards, nanosystems (including molecular memory ICs), or any type of media or device suitable for storing instructions and/or data.
It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of action combinations, but it should be understood by those skilled in the art that the present application is not limited by the order of actions described, as some steps may be performed in other order or simultaneously in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required in the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, such as the division of the units, merely a logical function division, and there may be additional manners of dividing the actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some service interface, device or unit indirect coupling or communication connection, electrical or otherwise.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a memory, including several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in the embodiments of the present application. And the aforementioned memory includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Those of ordinary skill in the art will appreciate that all or a portion of the steps in the various methods of the above embodiments may be performed by hardware associated with a program that is stored in a computer readable memory, which may include: flash disk, read-Only Memory (ROM), random-access Memory (RandomAccess Memory, RAM), magnetic or optical disk, and the like.
The foregoing is merely exemplary embodiments of the present disclosure and is not intended to limit the scope of the present disclosure. That is, equivalent changes and modifications are contemplated by the teachings of this disclosure, which fall within the scope of the present disclosure. Embodiments of the present disclosure will be readily apparent to those skilled in the art from consideration of the specification and practice of the disclosure herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a scope and spirit of the disclosure being indicated by the claims.
Claims (10)
1. An anomaly identification method for an indoor device, the method comprising:
acquiring equipment information of all electronic equipment in a preset area every time a preset duration passes, and generating an investigation path based on the equipment information;
continuously acquiring an equipment map based on the investigation path, analyzing the equipment map, and determining the equipment state of each electronic equipment;
when the equipment state is characterized as abnormal, generating warning information based on the equipment map, and sending the warning information to a preset terminal.
2. The method of claim 1, wherein the obtaining device information of all electronic devices in the preset area for each preset time period, and generating the investigation path based on each device information, comprises:
acquiring equipment information of all electronic equipment in a preset area every time a preset duration passes, wherein the equipment information comprises equipment category, equipment history fault information and equipment input use time;
calculating detection weights of the electronic equipment based on the equipment category, the equipment history fault information and the equipment input use time respectively, and calculating final weights of the electronic equipment according to the detection weights;
and generating an investigation path based on each final weight.
3. The method of claim 2, wherein the generating an audit path based on each of the final weights comprises:
comparing the final weights to determine the monitoring priority of each electronic device;
and distributing monitoring duration proportion to each electronic device according to each monitoring priority, and generating an investigation path based on each monitoring duration proportion.
4. The method of claim 1, wherein the continuously acquiring a device map based on the investigation path and resolving the device map, determining a device status of each of the electronic devices, comprises:
continuously acquiring an equipment map based on the investigation path, and analyzing the equipment map to obtain equipment index parameter information, wherein the equipment index parameter information comprises temperature, indicator lamp color and material;
and comparing each index parameter in the equipment index parameter information with a standard index parameter respectively to determine the equipment state of each electronic equipment.
5. The method of claim 1, wherein the generating alert information based on the device profile and transmitting the alert information to a preset terminal when the device state is characterized as abnormal comprises:
determining a coordinate location of an abnormal electronic device based on the device map when the device state is characterized as abnormal;
generating warning information according to the coordinate position and the equipment state, and sending the warning information to a preset terminal.
6. The method of claim 1, wherein after the sending the alert information to the preset terminal, further comprises:
and updating the device information after the device state is characterized as normal.
7. The method according to claim 1, wherein the method further comprises:
when a control instruction is received, a control target is determined, and a control instruction is sent to the control target based on the control instruction, so that the control target can complete a preset control action.
8. An abnormality recognition apparatus for an indoor device, the apparatus comprising:
the device comprises an acquisition module, a search module and a search module, wherein the acquisition module is used for acquiring device information of all electronic devices in a preset area every time a preset duration passes, and generating an investigation path based on the device information;
the acquisition module is used for continuously acquiring an equipment map based on the investigation path, analyzing the equipment map and determining the equipment state of each electronic equipment;
and the generation module is used for generating warning information based on the equipment map and sending the warning information to a preset terminal when the equipment state is characterized as abnormal.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1-7 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any of claims 1-7.
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| CN202310509718.2A CN116504039A (en) | 2023-05-08 | 2023-05-08 | Abnormality identification method and device for indoor equipment and electronic equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117422425A (en) * | 2023-12-18 | 2024-01-19 | 国网浙江省电力有限公司宁波供电公司 | On-site potential safety hazard management method and system based on instant messaging |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117422425A (en) * | 2023-12-18 | 2024-01-19 | 国网浙江省电力有限公司宁波供电公司 | On-site potential safety hazard management method and system based on instant messaging |
| CN117422425B (en) * | 2023-12-18 | 2024-04-30 | 国网浙江省电力有限公司宁波供电公司 | On-site potential safety hazard management method and system based on instant messaging |
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