CN111461434A - Material detection method, device and equipment based on geo-fence and storage medium - Google Patents
Material detection method, device and equipment based on geo-fence and storage medium Download PDFInfo
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Abstract
The invention discloses a material detection method, a device, equipment and a storage medium based on a geo-fence, which relate to the field of financial technology, and the method comprises the following steps: acquiring a preset transportation path for transporting materials to be transported, and determining a geographic fence corresponding to the transportation path; acquiring transportation information corresponding to transportation equipment for transporting the materials to be transported and the geo-fence; and inputting the state information in the transportation information into a preset data model to obtain an output result of the data model, and determining whether the goods and materials to be transported have abnormal conditions in the transportation process according to the output result and the transportation information. The invention realizes that whether the goods and materials to be transported have abnormal conditions in the transportation process is determined through the geo-fence so as to track the goods and materials in the transportation process.
Description
Technical Field
The invention relates to the technical field of data processing of financial technology (Fintech), in particular to a material detection method, device, equipment and storage medium based on a geo-fence.
Background
With the development of computer technology, more and more technologies are applied in the financial field, the traditional financial industry is gradually changing to financial technology (Fintech), and the data processing technology is no exception, but due to the requirements of security and real-time performance of the financial industry, higher requirements are also put forward on the data processing technology.
Due to epidemic situations, large areas also begin to require more supplies. Therefore, materials such as masks and protective clothing become important articles, and even "stir-fry masks" have begun to appear. In order to prevent a transport driver from stealing the dragon and turning the phoenix by greedy in the transport process, for example, the transport driver exchanges materials under the private of a lawless person. Therefore, a tracking method for the transportation process of materials is urgently needed to detect whether the materials have abnormal conditions in the transportation process.
Disclosure of Invention
The invention mainly aims to provide a material detection method, a device, equipment and a storage medium based on a geo-fence, and aims to solve the technical problem of how to detect whether abnormal conditions exist in the material in the transportation process.
In order to achieve the above object, the present invention provides a geo-fence based material detection method, which includes the steps of:
acquiring a preset transportation path for transporting materials to be transported, and determining a geographic fence corresponding to the transportation path;
acquiring transportation information corresponding to transportation equipment for transporting the materials to be transported and the geo-fence;
and inputting the state information in the transportation information into a preset data model to obtain an output result of the data model, and determining whether the goods and materials to be transported have abnormal conditions in the transportation process according to the output result and the transportation information.
Optionally, after the step of obtaining a preset transportation path for transporting the materials to be transported and determining the geofence corresponding to the transportation path, the method further includes:
acquiring current first position information of a transport device for transporting the materials to be transported;
detecting whether the transport device is within the geofence based on the first location information;
and if the transportation equipment is not detected to be in the geographic fence, executing the step of acquiring the transportation information corresponding to the transportation equipment for transporting the goods and materials to be transported and the geographic fence.
Optionally, the step of detecting whether the transport device is within the geofence from the first location information comprises:
determining a driving path of the transportation equipment according to the first position information, and detecting whether the driving path is in a target path range corresponding to the geo-fence;
if the travel path is not within the target path range, determining that the transport device is not within the geofence;
if the travel path is within the target path range, determining that the transportation device is within the geo-fence.
Optionally, the output result is a predicted duration, and the step of determining whether the goods to be transported have an abnormal condition in the transportation process according to the output result and the transportation information includes:
acquiring the transportation time length in the transportation information, and detecting whether the transportation time length is greater than the predicted time length;
if the transportation time length is longer than the predicted time length, and the difference value between the transportation time length and the predicted time length is larger than a preset threshold value, determining that the goods and materials to be transported have abnormal conditions in the transportation process;
and if the transportation time length is less than or equal to the predicted time length, or the transportation time length is greater than the predicted time length, but the difference value between the transportation time length and the predicted time length is less than or equal to a preset threshold value, determining that the goods and materials to be transported have no abnormal condition in the transportation process.
Optionally, the step of obtaining transportation information corresponding to the transportation device that transports the material to be transported and the geo-fence includes:
acquiring second position information of the transportation equipment for transporting the materials to be transported, and detecting whether the transportation equipment is in a stop state when transporting the materials to be transported;
if the transportation equipment is detected to be in the stop state, acquiring the stop duration when the transportation equipment is in the stop state, and acquiring the running duration when the transportation equipment is not in the stop state;
and determining a transportation time length according to the stop time length and the running time length, and determining the transportation time length and the second position information as transportation information corresponding to the geo-fence.
Optionally, before the step of determining the transportation duration and the second location information as transportation information corresponding to the geo-fence, the method further includes:
acquiring an opening and closing state of a door part of the transportation equipment;
the step of determining the transportation duration and the second location information as transportation information includes:
and determining the transportation duration, the switch state and the second position information as transportation information.
Optionally, after the step of determining whether the goods and materials to be transported have abnormal conditions in the transportation process according to the output result and the transportation information, the method further includes:
if the fact that the goods and materials to be transported have abnormal conditions in the transportation process is determined, obtaining the track information of a user corresponding to the transportation equipment;
and determining the reason of the abnormal condition of the material to be transported in the transportation process according to the track information.
In addition, to achieve the above object, the present invention further provides a geo-fence based material detecting apparatus, including:
the acquisition module is used for acquiring a preset transportation path for transporting the materials to be transported;
a determining module, configured to determine a geofence corresponding to the transportation path;
the acquisition module is further used for acquiring transportation information corresponding to the transportation equipment for transporting the materials to be transported and the geo-fence;
the input module is used for inputting the state information in the transportation information into a preset data model to obtain an output result of the data model;
the determining module is further used for determining whether the goods and materials to be transported have abnormal conditions in the transportation process according to the output result and the transportation information.
In addition, to achieve the above object, the present invention further provides a geo-fence based material detection apparatus, which includes a memory, a processor and a geo-fence based material detection program stored in the memory and executable on the processor, wherein the geo-fence based material detection program, when executed by the processor, implements the steps of the geo-fence based material detection method corresponding to the federal learning server.
In addition, to achieve the above object, the present invention also provides a computer readable storage medium, which stores thereon a geo-fence based asset detection program, which when executed by a processor implements the steps of the geo-fence based asset detection method as described above.
The method comprises the steps of determining the geo-fence corresponding to the transportation path by obtaining the preset transportation path for transporting the materials to be transported, obtaining transportation information corresponding to transportation equipment for transporting the materials to be transported and the geo-fence, inputting the transportation information into a preset data model to obtain an output result of the data model, and determining whether the materials to be transported have abnormal conditions in the transportation process according to the output result and the transportation information. Whether abnormal conditions exist in the transportation process of the goods to be transported is determined through the geo-fences, so that the goods in the transportation process can be tracked.
Drawings
FIG. 1 is a schematic flow chart diagram illustrating a first embodiment of a geofence-based asset detection method of the present invention;
FIG. 2 is a schematic diagram of an arrangement between a transportation path and a geofence in an embodiment of the present invention;
FIG. 3 is a diagram illustrating a default device deviating from a geofence in an embodiment of the present invention;
FIG. 4 is a schematic flow chart illustrating a geofence-based asset detection method according to a third embodiment of the present invention;
FIG. 5 is a block diagram illustrating the functionality of a preferred embodiment of the geofence-based asset detection apparatus of the present invention;
fig. 6 is a schematic structural diagram of a hardware operating environment according to an embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention provides a material detection method based on a geo-fence, and referring to fig. 1, fig. 1 is a schematic flow chart of a material detection method based on a geo-fence according to a first embodiment of the invention.
While a logical order is shown in the flow chart, in some cases, the steps shown or described may be performed in an order different than that shown.
The geofence-based material detection method is applied to a server or a terminal, and the terminal may include a mobile terminal such as a mobile phone, a tablet computer, a notebook computer, a palm computer, a Personal Digital Assistant (PDA), and the like, and a fixed terminal such as a Digital TV, a desktop computer, and the like. In various embodiments of the geofence-based asset detection method, various embodiments are set forth with the transport system as the subject of execution for ease of description. The material detection method based on the geo-fence comprises the following steps:
and step S10, acquiring a preset transportation path for transporting the materials to be transported, and determining the geographic fence corresponding to the transportation path.
In the embodiment of the invention, the transportation path corresponding to the material to be transported is stored in the transportation system in advance, and the corresponding geo-fence is set according to the transportation path, wherein the geo-fence is a virtual geo-boundary enclosed by a virtual fence. In this embodiment, the area of the geofence for a transport path can be sized according to specific needs. When the transport person transports the goods to be transported, the transport person can send a notification message for starting transportation to the transport system through the terminal device held by the transport person and/or the vehicle-mounted device in the transport device, which can be communicated with the transport system. Further, in the process of setting the transportation path corresponding to the material to be transported, the starting time of the starting transportation of the material to be transported may also be set, and when the transportation system detects that the current time is greater than or equal to the starting time, the transportation system automatically triggers the notification message.
And when the transport system detects the notification message, the transport system acquires a preset transport path for transporting the materials to be transported. Specifically, the transportation system can determine the preset transportation path of the material to be transported through the equipment identifier of the transportation equipment carried in the notification message, the mapping relationship between the equipment identifier and the transportation route is stored in the transportation system, and the preset transportation path of the material to be transported is acquired through the equipment identifier in the notification message and the mapping relationship. The embodiment does not limit the representation form of the device identifier, and the user can set the device identifier according to specific needs. After the transportation system determines the transportation path for transporting the materials to be transported, the transportation system determines the geo-fence corresponding to the transportation path. It is to be understood that each transportation path has a corresponding geo-fence, and in particular, referring to fig. 2, fig. 2 is a schematic diagram between the transportation path and the geo-fence.
And step S20, acquiring transportation information corresponding to the transportation equipment for transporting the goods and materials to be transported and the geo-fence.
After the transportation system determines the geo-fence corresponding to the transportation path, the transportation system acquires transportation information corresponding to transportation equipment for transporting the materials to be transported and the geo-fence. The transportation information includes, but is not limited to, a length of stop time when the transportation device is stopped, a length of travel time in each of the sub-geofenced areas, and a length of deviation from the geofence, wherein the transportation path will traverse at least one region, each region corresponding to a sub-geofenced area. The transportation information may be sent to the transportation System by the vehicle-mounted device, and at this time, the vehicle-mounted device has a Positioning function, for example, a GPS (Global Positioning System) is provided in the vehicle-mounted device, and the Positioning function is realized by the GPS. The transportation information can also be sent to the transportation system by the transportation personnel through the corresponding terminal equipment, and the terminal equipment also has the positioning function at the moment.
Further, the step S20 includes:
step a, second position information of the transportation equipment for transporting the materials to be transported is obtained, and whether the transportation equipment is in a stop state or not when the materials to be transported are transported is detected.
And b, if the transportation equipment is detected to be in the stop state, acquiring the stop time length when the transportation equipment is in the stop state, and acquiring the running time length when the transportation equipment is not in the stop state.
Specifically, the transportation system acquires position information of the transportation device in the process of transporting the materials to be transported, records the position information as second position information for distinguishing, and detects whether the transportation device is in a stop state in the process of transporting the materials to be transported. It can be understood that when the second position information detected by the transportation system does not change, it may be determined that the transportation device is in a stopped state in the process of transporting the material to be transported, and when the second position information detected by the transportation system changes, it may be determined that the transportation device is not in a stopped state in the process of transporting the material to be transported and is in a transportation state. When the transportation system detects that the transportation device is in a stop state, the transportation system acquires the stop duration of the transportation device when the transportation device is in the stop state, and acquires the running duration of the transportation device when the transportation device is not in the stop state. And if the time for the transportation equipment to be converted from the transportation state to the stop state is recorded as the first time and the time for the transportation equipment to be converted from the stop state to the transportation state is recorded as the second time, the time difference between the first time and the second time is the stop duration.
And c, determining the transportation time length according to the stop time length and the running time length, and determining the transportation time length and the second position information as the transportation information corresponding to the geo-fence.
After the transportation system determines the stop time length and the running time length, the transportation system determines the transportation time length according to the stop time length and the running time length, and at the moment, the transportation time length is equal to the sum of the stop time length and the running time length. It can be understood that, when it is determined that the transportation device is not in a stop state in the process of transporting the materials to be transported, that is, the transportation device is always in a running state, the running duration of the transportation device is the transportation duration. After the transportation system determines the transportation duration and the second location information, the transportation system determines the transportation duration and the second location information as transportation information corresponding to the geo-fence.
Further, the transportation system may also obtain the transportation information when it is detected that the transportation duration is greater than a transportation preset duration, and/or the second location information is not within the geofence range. It can be understood that when the transportation device is at different positions, the corresponding preset transportation time durations are different, and the preset transportation time durations can be preset in the transportation system according to specific situations. The longer the stopping time is, the longer the corresponding transportation time is; the shorter the stop period, the shorter the corresponding transport period.
Further, in order to improve the accuracy of detecting whether the transportation device has an abnormal condition during the transportation of the material, the geofence-based material detection method further includes:
and d, acquiring the opening and closing state of the door part of the transportation equipment.
The step of determining the transportation duration and the second location information as transportation information includes:
and c1, determining the transportation time length, the switch state and the second position information as transportation information.
Further, the transportation system obtains the opening and closing state of the door part of the transportation equipment in the process of transporting the materials to be transported, wherein the opening and closing state comprises two states, one state is an opening state, and the other state is a closing state. The door part of the transportation equipment is a door for placing materials to be transported in the transportation equipment, and is not a transportation person, namely a door at the position of a driver. Specifically, after the door is opened, the light of the space for placing the materials to be transported is greatly different from the light of the closed door, so that the opening and closing state of the door part can be determined through the light sensor. It can be understood that, if the transportation system determines that the door part of the transportation device is in the open state during transportation of the to-be-transported device, and the current transportation system determines that the current position is determined according to the historical transportation data of the to-be-transported material, the door part of the transportation device should be in the closed state, and at this time, the transportation system may determine that an abnormal condition exists in the to-be-transported material during transportation.
And step S30, inputting the state information in the transportation information into a preset data model to obtain the output result of the data model, and determining whether the goods and materials to be transported have abnormal conditions in the transportation process according to the output result and the transportation information.
After the transportation system acquires the transportation information, the transportation system acquires the state information in the transportation information, inputs the state information into a preset data model to obtain an output result of the data model, and determines whether the goods and materials to be transported have abnormal conditions in the transportation process according to the output result and the transportation information. The state information includes, but is not limited to, information about a current location of the transportation device, current weather information (rain, strong wind, etc.), and current road condition information (whether a vehicle is jammed, whether a traffic accident occurs, etc.). The data model is pre-stored in the transportation system. Specifically, the transportation system can obtain the normal running time of the transportation equipment at each position, the deviation time of the transportation equipment from the geo-fence under normal conditions, weather, road conditions and other data, and input the data into the machine learning model to obtain the data model, wherein the machine learning model is an algorithm such as naive Bayes classification, logistic regression and support vector machine.
Further, the step S30 includes:
and e, acquiring the transportation time length in the transportation information, and detecting whether the transportation time length is greater than the predicted time length.
And f, if the transportation time length is longer than the predicted time length and the difference value between the transportation time length and the predicted time length is larger than a preset threshold value, determining that the goods and materials to be transported have abnormal conditions in the transportation process.
And g, if the transportation time length is less than or equal to the predicted time length, or the transportation time length is greater than the predicted time length, but the difference value between the transportation time length and the predicted time length is less than or equal to a preset threshold value, determining that the goods and materials to be transported have no abnormal condition in the transportation process.
Further, after the transportation system obtains the output result of the data model, the transportation system obtains the transportation time length in the transportation information, and detects whether the transportation time length is greater than the predicted time length, wherein the predicted time length is the predicted time length in the output result, and the transportation time length can be the time taken by the transportation device to travel from the starting point to the current position, or the transportation time length of the transportation device when passing through a certain area (the transportation path passes through at least one area), or the deviation time length of the transportation device when deviating from the geo-fence. It can be understood that there is a corresponding relationship between the transportation duration and the predicted duration, and if the transportation duration is the time taken by the transportation device to travel from the starting point to the current position, the predicted duration is also the time taken by the transportation device to normally travel from the starting point to the current position under the current condition; if the transportation time length is the deviation time length of the transportation equipment when the current position deviates from the geo-fence, the predicted time length is the time length used for predicting the transportation equipment when the transportation equipment normally deviates from the geo-fence under the current condition.
If the transportation system detects that the transportation time length is longer than the predicted time length, the transportation system calculates a difference value between the transportation time length and the predicted time length, and determines whether the difference value is larger than a preset threshold value, the size of the preset threshold value may be set according to specific needs, and the preset threshold value is not specifically limited in this embodiment.
If the transportation system determines that the difference value is larger than the preset threshold value, the transportation system determines that the goods and materials to be transported have abnormal conditions in the transportation process; if the transportation system determines that the difference is smaller than or equal to the preset threshold value, the transportation system determines that the goods and materials to be transported have no abnormal condition in the transportation process. When the abnormal condition of the materials to be transported in the transportation process is determined, the suspicious behavior of the transportation personnel is indicated, namely the transportation personnel are available personnel; when the fact that the goods to be transported have no abnormal condition in the transporting process is determined, it is indicated that the transport personnel have no suspicious behaviors.
It is understood that when the transit time is longer than the predicted time, it does not necessarily indicate that the goods to be transported have an abnormal condition during the transit. If the transportation equipment deviates from the geo-fence, the transportation system determines that the goods and materials to be transported have abnormal conditions in the transportation process only when the deviation duration is greater than the corresponding predicted duration; and when the deviation duration is less than or equal to the corresponding predicted duration, the transportation system determines that the goods to be transported have no abnormal condition in the transportation process. When the stopping time of the transportation equipment is short, the transportation system determines that the goods and materials to be transported have abnormal conditions in the transportation process when the stopping time of the transportation system is longer than the corresponding predicted time; and when the stopping time length is less than or equal to the corresponding predicted time length, the transportation system determines that the goods and materials to be transported have no abnormal condition in the transportation process. At this time, corresponding predicted time periods may be set for the deviation time period and the stop time period.
Further, the output result may include other information besides the predicted duration, for example, the output result may include an abnormal identifier indicating that the material to be transported has an abnormal condition in the transportation process, or an abnormal identifier indicating that the material to be transported does not have an abnormal condition in the transportation process. At the moment, if the output result of the transportation system has the normal identifier, the transportation system further detects whether the goods to be transported have the abnormal condition in the transportation process according to the predicted duration in the output result in order to improve the accuracy of whether the goods to be transported have the abnormal condition in the transportation process; when the output result of the transportation system has the abnormal identifier, the transportation system directly determines that the goods and materials to be transported have abnormal conditions in the transportation process. If the transportation system determines that the output result has the abnormal identifier, the transportation system further detects whether the goods to be transported have the abnormal condition in the transportation process according to the predicted duration in the output result in order to improve the transportation efficiency of the goods to be transported in the transportation process (if the goods to be transported have the abnormal condition in the transportation process, the transportation personnel is required to execute corresponding operation, so that the transportation efficiency is reduced); and when the normal identification exists in the output result, the transportation system directly determines that the goods and materials to be transported have no abnormal condition in the transportation process.
Further, if the transportation time length is longer than the predicted time length, and the difference value between the transportation time length and the predicted time length is larger than a preset threshold value, the transportation system acquires the current weight of the goods to be transported in the transportation information. Specifically, the transportation system obtains the current weight of the goods to be transported in the transportation device at intervals of a first preset time through a weighing device in the transportation device, and if the difference between the current weight and the initial weight of the transportation device is larger than a preset difference and the transportation device deviates from the geographic fence, the transportation system can determine that the goods to be transported have an abnormal condition in the transportation process, otherwise, the goods to be transported are determined not to have the abnormal condition in the transportation process. The initial weight is the weight of the transportation device just receiving the goods to be transported, the size of the preset difference value can be set according to specific needs, the size of the preset difference value is not specifically limited in the embodiment, and the corresponding duration of the first preset time can be set to be 1 minute, 3 minutes or 10 minutes and the like.
Further, if the transportation time length is longer than the predicted time length, and the difference value between the transportation time length and the predicted time length is larger than a preset threshold value, the transportation system acquires the cargo image of the cargo to be transported in the transportation information. Specifically, the transportation system calls a camera device in the transportation equipment, a cargo image of the cargo to be transported is obtained at every second preset time, the cargo image is analyzed through an image processing technology and/or a neural network, current state data of the cargo to be transported is obtained, the state data comprises the placement condition of the cargo to be transported, the number of the cargo to be transported, the color of the cargo to be transported and the like, data similarity between the current state data and the initial state data of the cargo to be transported is calculated, if the data similarity is smaller than the preset similarity, the transportation system determines that the material to be transported has an abnormal condition in the transportation process, and if not, the material to be transported does not have an abnormal condition in the transportation process. The second preset time can be opposite to the first preset time and can also be unequal to the first preset time, and the initial state data is the state data of the goods to be transported when the transporting equipment just receives the goods to be transported. The present embodiment does not specifically limit the magnitude of the preset similarity.
Further, if the transportation time length is longer than the predicted time length, and the difference value between the transportation time length and the predicted time length is larger than a preset threshold value, the transportation system detects whether the transportation information is not received within a specific time length. If the transportation system does not receive the transportation information within a specific time, the transportation system determines that the goods and materials to be transported have abnormal conditions in the transportation process, otherwise, the transportation system determines that the goods and materials to be transported have no abnormal conditions in the transportation process. It should be noted that, when the in-use power supply device of the transportation device stops operating, and the backup power supply device also stops operating, or the device sending the transportation information is disconnected from the transportation device, the transportation system may not receive the transportation information within a specific time period.
Further, when the transportation time length is longer than the predicted time length and the difference value between the transportation time length and the predicted time length is larger than a preset threshold value, the transportation system can detect whether warning information that the power supply equipment of the transportation equipment is manually turned off is received or not, the transportation system determines that the goods and materials to be transported have abnormal conditions in the transportation process, sends request information to a user corresponding to the transportation equipment, and requests the user corresponding to the transportation equipment to make reasonable explanation according to the request information.
The embodiment determines the geo-fence corresponding to the transportation path by acquiring the preset transportation path for transporting the goods and materials to be transported, acquires transportation information corresponding to transportation equipment for transporting the goods and materials to be transported and the geo-fence, inputs the transportation information into the preset data model to obtain an output result of the data model, and determines whether the goods and materials to be transported have abnormal conditions in the transportation process according to the output result and the transportation information. Whether abnormal conditions exist in the transportation process of the goods to be transported is determined through the geo-fences, so that the goods in the transportation process can be tracked.
Further, a second embodiment of the geofence-based asset detection method of the present invention is presented. The second embodiment of the geofence-based asset detection method differs from the first embodiment of the geofence-based asset detection method in that the geofence-based asset detection method further comprises:
and h, acquiring current first position information of the transportation equipment for transporting the materials to be transported.
Step i, detecting whether the transportation device is in the geo-fence according to the first position information.
If the transportation device is not detected to be within the geo-fence, step S20 is executed.
The transportation system acquires current position information of transportation equipment for transporting the materials to be transported, records the current position information as first position information, and detects whether the transportation equipment is in the geo-fence or not according to the first position information. The first position information may be sent to the transportation system by the terminal device or the vehicle-mounted device, or may be acquired by the transportation system from the terminal device or the vehicle-mounted device. If the transportation equipment is detected not to be in the geographic fence, the transportation system acquires transportation information corresponding to the transportation equipment for transporting the materials to be transported and the geographic fence; if the transport device is detected not to be within the geofence, the transport system continues to detect whether the transport device is within the geofence.
Further, step i includes:
step i1, determining the driving path of the transportation equipment according to the first position information, and detecting whether the driving path is in the target path range corresponding to the geo-fence.
Step i2, if the travel path is not within the target path range, determining that the transportation device is not within the geo-fence.
Step i3, if the travel path is within the target path range, determining that the transportation device is within the geo-fence.
Specifically, the transportation system determines a driving path of the transportation device according to the first position information, and detects whether the driving path is within a target path range corresponding to the geo-fence, wherein the target path range is the geo-fence corresponding range. The preset transportation path of the goods and materials to be transported is a pre-planned normal transportation path when the transportation equipment transports the goods and materials to be transported, the driving path is a real-time path of the transportation equipment when the transportation equipment transports the goods and materials to be transported, namely the transportation path is a predicted and planned path, and the driving path is a path taken by the transportation equipment in the process of transporting the goods and materials to be transported. It will be appreciated that in embodiments of the present invention, the geofence is determined based on the transport path, and thus the transport path is within the target path range corresponding to the geofence. It should be noted that the first location information at least includes location information of two different locations. If the transportation system detects that the driving path is not within the range of the target path, the transportation system determines that the transportation equipment is not within the geo-fence; if the transportation system detects that the travel path is within the target path range, the transportation system determines that the transportation device is within the geofence. It will be appreciated that the transport system may calculate the length of departure of the transport device from the geofence upon determining that the travel path is not within the target path range, i.e., indicating that the transport device has deviated from the geofence.
Specifically, referring to fig. 3, a driver (driver) transports a material to be transported in a customized geo-fence range, and at this time, a terminal device or a vehicle-mounted device corresponding to the driver uploads GPS information (location information) to a transportation system in real time. When the driver deviates from the original route, the driver will be intercepted by the geo-fence, and the transportation system can detect that the transportation equipment is not in the geo-fence. When the transportation equipment is not in the geo-fence, if a driver wants to steal the dragon and turn the phoenix, a certain time length is needed, namely, the time length of deviation is long enough. When the deviation duration is longer than a certain duration, the purpose of checking the deviation of the driver from the route, i.e. checking the reason why the driver deviates from the geo-fence, is started.
Further, if the transportation system detects that the transportation device is in a stop state, the transportation system can acquire transportation information corresponding to the transportation device for transporting the materials to be transported and the geo-fence, and starts to calculate the stop duration. It is understood that the transportation system may obtain transportation information corresponding to the geo-fence from the transportation device transporting the material to be transported when the transportation system detects that the transportation system is not within the geo-fence and/or the transportation device is in a stopped state.
Further, the transportation system can also acquire the transportation information in real time.
The transportation system acquires the transportation information and inputs the transportation information into the data model to judge whether the goods and materials to be transported have abnormal conditions or not only when the transportation equipment is not in the geo-fence, so that when a driver leaves the geo-fence, the transportation system can automatically determine whether the goods and materials to be transported have abnormal conditions or not, automatically notice whether the driver is suspicious or not, and accordingly safety of the goods and materials to be transported is improved.
Further, a third embodiment of the geofence-based asset detection method of the present invention is presented. The geofence-based asset detection method third embodiment differs from the geofence-based asset detection method first and/or second embodiment in that, with reference to fig. 4, the geofence-based asset detection method further comprises:
and step S40, if it is determined that the goods to be transported have abnormal conditions in the transportation process, acquiring the track information of the transportation equipment corresponding to the user.
If the fact that the goods and materials to be transported have abnormal conditions in the transportation process is determined, the transportation system obtains the track information of the transportation equipment corresponding to the user, namely obtains the track information of the corresponding driver. Specifically, after the transportation system determines that the materials to be transported have abnormal conditions in the transportation process, the transportation system generates prompt information and sends the prompt information to the terminal equipment or the vehicle-mounted equipment. And after the terminal equipment or the vehicle-mounted equipment receives the prompt information, outputting the prompt information so that a driver can input the track information according to the prompt information. The whereabouts information includes complaints about the driver including the driver in the current state, such as including a description of why the driver is in a stopped state, and why the length of the stop is abnormal, why the driver deviates from the geofence, etc.
And step S50, determining the reason of the abnormal condition of the material to be transported in the transportation process according to the track information.
After the transportation system acquires the track information, the transportation system determines the reasons of the abnormal conditions of the materials to be transported in the transportation process according to the track information based on the analysis of the big data, wherein the reasons of the abnormal conditions of the materials to be transported in the transportation process are two, one is a normal reason, and the other is an abnormal reason. If it is determined from the track information that a traffic accident occurs due to a place in the travel path and the transport apparatus is stopped due to a traffic jam, the transport system may determine that the cause of the abnormal situation of the material to be transported during the transport is a normal cause.
Further, the transportation system may also pre-store a normal reason for an abnormal condition of the material to be transported in the transportation process, and if the transportation system determines that the reason for the abnormal condition of the material to be transported in the transportation process is different from a preset normal reason according to the track information, the transportation system determines that the reason for the abnormal condition of the material to be transported in the transportation process is an abnormal reason; if the transportation system determines that the reason for the abnormal condition of the goods to be transported in the transportation process is the same as the preset normal reason according to the track information, the transportation system determines that the reason for the abnormal condition of the goods to be transported in the transportation process is the normal reason.
Further, when the transportation system determines that the reason causing the abnormal condition of the goods to be transported in the transportation process is the abnormal reason, the transportation system can generate alarm information and send the alarm information to the corresponding terminal of the carrier and/or the receiving party of the equipment to be transported, so that the carrier and/or the receiving party are informed of the abnormal condition of the goods to be transported in the transportation process according to the alarm information.
Furthermore, the transportation system may also acquire the track information of the transportation device corresponding to the user when the abnormal duration of the abnormal condition of the material to be transported in the transportation process is determined to be greater than the preset abnormal duration, and determine the reason for the abnormal condition of the material to be transported in the transportation process according to the track information. The preset abnormal duration may be set according to specific needs, and the preset abnormal duration is not specifically limited in this embodiment.
According to the embodiment, when the abnormal condition of the material to be transported in the transportation process is determined, the track information of the transportation equipment corresponding to the user is acquired to determine the reason of the abnormal condition of the material to be transported in the transportation process, so that the accuracy of analyzing whether the abnormal condition exists in the material to be transported in the transportation process is improved.
In addition, the present invention also provides a geo-fence based material detection apparatus, referring to fig. 5, the geo-fence based material detection apparatus includes:
the acquisition module 10 is used for acquiring a preset transportation path for transporting materials to be transported;
a determining module 20, configured to determine a geofence corresponding to the transportation path;
the obtaining module 10 is further configured to obtain transportation information corresponding to the transportation device that transports the material to be transported and the geo-fence;
the input module 30 is configured to input the state information in the transportation information into a preset data model to obtain an output result of the data model;
the determining module 20 is further configured to determine whether the goods to be transported have an abnormal condition in the transportation process according to the output result and the transportation information.
Further, the obtaining module 10 is further configured to obtain current first position information of a transportation device that transports the material to be transported;
the geo-fence based asset detection device further comprises:
a detection module to detect whether the transport device is within the geofence based on the first location information;
the obtaining module 10 is further configured to obtain transportation information corresponding to the transportation device that transports the material to be transported and the geo-fence if it is detected that the transportation device is not located in the geo-fence.
Further, the detection module includes:
a first determination unit configured to determine a travel path of the transportation device according to the first position information;
the first detection unit is used for detecting whether the driving path is within a target path range corresponding to the geo-fence;
the first determination unit is further configured to determine that the transportation device is not within the geofence if the travel path is not within the target path range; if the travel path is within the target path range, determining that the transportation device is within the geo-fence.
Further, the determining module 20 includes:
the first acquisition unit is used for acquiring the transportation time length in the transportation information;
the second detection unit is used for detecting whether the transportation time length is larger than the predicted time length or not;
the second determining unit is used for determining that the goods and materials to be transported have abnormal conditions in the transportation process if the transportation time length is longer than the predicted time length and the difference value between the transportation time length and the predicted time length is larger than a preset threshold value; and if the transportation time length is less than or equal to the predicted time length, or the transportation time length is greater than the predicted time length, but the difference value between the transportation time length and the predicted time length is less than or equal to a preset threshold value, determining that the goods and materials to be transported have no abnormal condition in the transportation process.
Further, the obtaining module 10 further includes:
the second acquisition unit is used for acquiring second position information of the transportation equipment for transporting the goods and materials to be transported;
the second detection unit is used for detecting whether the transportation equipment is in a stop state when transporting the materials to be transported;
the second obtaining unit is further configured to obtain a stop duration when the transportation device is in the stop state and obtain a running duration when the transportation device is not in the stop state, if it is detected that the transportation device is in the stop state;
and the third determining unit is used for determining the transportation time length according to the stop time length and the running time length, and determining the transportation time length and the second position information as the transportation information corresponding to the geo-fence.
Further, the acquiring module 10 is also used for acquiring the opening and closing state of the door part of the transportation equipment;
the determining module 20 is further configured to determine the transportation duration, the switch state and the second position information as transportation information.
Further, the obtaining module 10 is further configured to obtain the track information of the user corresponding to the transportation device if it is determined that the material to be transported has an abnormal condition in the transportation process;
the determining module 20 is further configured to determine, according to the track information, a reason why the material to be transported has an abnormal condition in the transportation process.
The specific implementation of the material detection device based on the geo-fence according to the present invention is substantially the same as that of the material detection method based on the geo-fence, and is not described herein again.
In addition, the invention also provides material detection equipment based on the geo-fence. As shown in fig. 6, fig. 6 is a schematic structural diagram of a hardware operating environment according to an embodiment of the present invention.
It should be noted that fig. 6 is a schematic structural diagram of a hardware operating environment of the geofence-based asset detection apparatus. The material detection equipment based on the geo-fence in the embodiment of the invention can be terminal equipment such as a PC (personal computer), a portable computer and the like.
As shown in fig. 6, the geofence-based asset detection apparatus may include: a processor 1001, such as a CPU, a memory 1005, a user interface 1003, a network interface 1004, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the geofence-based asset detection apparatus configuration shown in fig. 6 does not constitute a limitation of geofence-based asset detection apparatus, and may include more or fewer components than shown, or some components in combination, or a different arrangement of components.
As shown in fig. 6, a memory 1005, which is one type of computer storage medium, can include an operating system, a network communication module, a user interface module, and a geo-fence based asset detection program. The operating system is a program for managing and controlling hardware and software resources of the geo-fence based material detection device, and supports the running of the geo-fence based material detection program and other software or programs.
In the geofence-based material detection apparatus shown in fig. 6, the user interface 1003 is mainly used for connecting a terminal device or a vehicle-mounted device, and performing data communication with the terminal device or the vehicle-mounted device, such as acquiring first location information, second location information, switch status, transportation information, and the like; the network interface 1004 is mainly used for the background server and performs data communication with the background server; the processor 1001 may be configured to invoke a geofence-based asset detection program stored in the memory 1005 and perform the steps of the geofence-based asset detection method described above.
The specific implementation of the material detection device based on the geo-fence according to the present invention is substantially the same as that of the material detection method based on the geo-fence, and is not described herein again.
Furthermore, an embodiment of the present invention further provides a computer-readable storage medium, where a geofence-based asset detection program is stored on the computer-readable storage medium, and when executed by a processor, the geofence-based asset detection program implements the steps of the geofence-based asset detection method described above.
The specific implementation manner of the computer-readable storage medium of the present invention is substantially the same as that of the above-mentioned geofence-based material detection method, and is not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A geo-fence based asset detection method, characterized in that the geo-fence based asset detection method comprises the following steps:
acquiring a preset transportation path for transporting materials to be transported, and determining a geographic fence corresponding to the transportation path;
acquiring transportation information corresponding to transportation equipment for transporting the materials to be transported and the geo-fence;
and inputting the state information in the transportation information into a preset data model to obtain an output result of the data model, and determining whether the goods and materials to be transported have abnormal conditions in the transportation process according to the output result and the transportation information.
2. The method for detecting materials based on geo-fences as claimed in claim 1, wherein the steps of obtaining a preset transportation path for transporting materials to be transported and determining the geo-fence corresponding to the transportation path further comprise:
acquiring current first position information of a transport device for transporting the materials to be transported;
detecting whether the transport device is within the geofence based on the first location information;
and if the transportation equipment is not detected to be in the geographic fence, executing the step of acquiring the transportation information corresponding to the transportation equipment for transporting the goods and materials to be transported and the geographic fence.
3. The geofence-based asset detection method of claim 2, wherein the step of detecting whether the transport device is within the geofence from the first location information comprises:
determining a driving path of the transportation equipment according to the first position information, and detecting whether the driving path is in a target path range corresponding to the geo-fence;
if the travel path is not within the target path range, determining that the transport device is not within the geofence;
if the travel path is within the target path range, determining that the transportation device is within the geo-fence.
4. The geo-fence based material detection method as claimed in claim 1, wherein the output result is a predicted time duration, and the step of determining whether the material to be transported has an abnormal condition during the transportation process according to the output result and the transportation information comprises:
acquiring the transportation time length in the transportation information, and detecting whether the transportation time length is greater than the predicted time length;
if the transportation time length is longer than the predicted time length, and the difference value between the transportation time length and the predicted time length is larger than a preset threshold value, determining that the goods and materials to be transported have abnormal conditions in the transportation process;
and if the transportation time length is less than or equal to the predicted time length, or the transportation time length is greater than the predicted time length, but the difference value between the transportation time length and the predicted time length is less than or equal to a preset threshold value, determining that the goods and materials to be transported have no abnormal condition in the transportation process.
5. The geofence-based material detection method of claim 1, wherein the step of obtaining transportation information corresponding to the geofence for a transportation device transporting the material to be transported comprises:
acquiring second position information of the transportation equipment for transporting the materials to be transported, and detecting whether the transportation equipment is in a stop state when transporting the materials to be transported;
if the transportation equipment is detected to be in the stop state, acquiring the stop duration when the transportation equipment is in the stop state, and acquiring the running duration when the transportation equipment is not in the stop state;
and determining a transportation time length according to the stop time length and the running time length, and determining the transportation time length and the second position information as transportation information corresponding to the geo-fence.
6. The geofence-based asset detection method of claim 5, wherein the step of determining the transit time duration and the second location information as transit information corresponding to the geofence is preceded by the further comprising:
acquiring an opening and closing state of a door part of the transportation equipment;
the step of determining the transportation duration and the second location information as transportation information includes:
and determining the transportation duration, the switch state and the second position information as transportation information.
7. The geofence-based material detection method of any of claims 1-6, wherein after the step of determining whether the material to be transported has an abnormal condition during transportation according to the output result and the transportation information, further comprising:
if the fact that the goods and materials to be transported have abnormal conditions in the transportation process is determined, obtaining the track information of a user corresponding to the transportation equipment;
and determining the reason of the abnormal condition of the material to be transported in the transportation process according to the track information.
8. A geo-fence based asset detection device, the geo-fence based asset detection device comprising:
the acquisition module is used for acquiring a preset transportation path for transporting the materials to be transported;
a determining module, configured to determine a geofence corresponding to the transportation path;
the acquisition module is further used for acquiring transportation information corresponding to the transportation equipment for transporting the materials to be transported and the geo-fence;
the input module is used for inputting the state information in the transportation information into a preset data model to obtain an output result of the data model;
the determining module is further used for determining whether the goods and materials to be transported have abnormal conditions in the transportation process according to the output result and the transportation information.
9. A geofence-based asset detection apparatus, comprising a memory, a processor, and a geofence-based asset detection program stored on the memory and executable on the processor, the geofence-based asset detection program when executed by the processor implementing the steps of the geofence-based asset detection method recited in any of claims 1-7.
10. A computer-readable storage medium, having stored thereon a geofence-based asset detection program, which when executed by a processor, performs the steps of the geofence-based asset detection method of any of claims 1-7.
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