CN113946646A - Vehicle residence detection method and device, electronic equipment and storage medium - Google Patents
Vehicle residence detection method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The disclosure provides a vehicle residence detection method and device, electronic equipment and a storage medium, and relates to the technical field of vehicle dynamic analysis. The vehicle residence detection method comprises the following steps: receiving identity information sent by vehicles, and collecting position information reported by the same vehicle based on the identity information to obtain a position information set; performing a resident detection operation on the position information set based on the time-space screening condition to obtain resident position information; performing clustering operation on the resident position information to generate an actual resident position of the vehicle; and outputting abnormal parking early warning information when the vehicle parking abnormity is detected based on the actual parking position and the legal parking position. Through the technical scheme, the comprehensive coverage of long-term continuous detection of the dangerous chemical vehicle and supervision of the vehicle path area can be realized, the reliability and the detection efficiency of the abnormal residence detection result of the vehicle can be improved, and the missed detection probability of the dangerous chemical vehicle can be further reduced.
Description
Technical Field
The present disclosure relates to the field of vehicle dynamic analysis technologies, and in particular, to a vehicle residence detection method, apparatus, electronic device, and computer-readable storage medium.
Background
Dangerous chemical transport vehicles, namely dangerous chemical transport vehicles, become key and difficult objects of road traffic safety management due to the particularity of transport substances, if the vehicles reside in non-specified areas for a long time, the vehicles have a large hidden risk, and once an accident occurs, serious consequences can be caused. It is therefore necessary to detect abnormal residence of the hazardous chemical vehicle during transportation of the hazardous chemical.
The existing detection method for the abnormal residence of the dangerous chemical vehicle comprises a manual field inspection mode and a video inspection mode.
Aiming at the mode of manual field inspection, although dangerous chemical vehicles which are abnormally resided can be found, the workload is large, and the vehicles cannot be continuously monitored for a long time, so that a certain missed inspection probability exists.
For the mode of video tour, then need the manual work to look over the surveillance video, on the one hand, can't accomplish the comprehensive coverage in supervision region, on the other hand, because the same needs artifical participation to lead to great manual work volume.
It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
The present disclosure aims to provide a vehicle residence detection method, device, electronic device and computer readable storage medium, which can improve the problem of low efficiency of abnormal residence detection of hazardous chemical vehicles in the related art at least to a certain extent.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows, or in part will be obvious from the description, or may be learned by practice of the disclosure.
According to an aspect of the present disclosure, there is provided a vehicle residence detection method including: receiving identity information sent by vehicles, and collecting position information reported by the same vehicle based on the identity information to obtain a position information set; performing a resident detection operation on the position information set based on a space-time screening condition to obtain resident position information; performing clustering operation on the resident position information to generate an actual resident position of the vehicle; and outputting abnormal parking early warning information when the vehicle parking abnormality is detected based on the actual parking position and the legal parking position.
In one embodiment, the identity information includes an equipment identifier of a positioning apparatus used for acquiring the location information, the receiving vehicle receives the identity information sent by the vehicle, and collects location information reported by the same vehicle based on the identity information to obtain a location information set, which specifically includes: determining a vehicle identifier bound with the equipment identifier based on a preset binding relationship, wherein the vehicle identifier is used for identifying the vehicle; receiving the position information reported by the vehicle and the acquisition time corresponding to the position information; and when the acquisition duration of the position information reaches a preset duration, generating the position information set of the same vehicle based on the vehicle identification.
In one embodiment, the spatiotemporal filtering condition includes a first duration threshold, a second duration threshold and a preset size region, where the first duration threshold is smaller than the second duration threshold, and the performing the dwell detection operation on the location information set based on the spatiotemporal filtering condition to obtain the dwell location information specifically includes: in any time period greater than or equal to the first time length threshold and less than or equal to the second time length threshold, detecting that a plurality of time-continuous location information in the location information set in the time period are distributed in the preset size area, and determining the plurality of time-continuous location information as the resident location information.
In one embodiment, the performing a clustering operation on the parking position information to generate an actual parking position of the vehicle specifically includes: for each preset size area, determining the number of central points or resident positions in the resident position information in the preset size area; and determining the central point as a clustering center, and performing clustering operation based on the number of the clustering centers or the resident positions to generate the actual resident positions of the vehicle.
In one embodiment, the outputting of the abnormal parking warning information when the vehicle parking abnormality is detected based on the actual parking position and the legal parking position specifically includes: acquiring the legal residence position; deleting the legal residence position in the actual residence position, and determining the remaining actual residence position as an abnormal residence position; and outputting the abnormal resident early warning information based on the abnormal resident position.
In an embodiment, the acquiring the legal parking location specifically includes: acquiring an electronic freight note of the vehicle, extracting consignment place information and receiving place information in the electronic freight note, and determining the consignment place information and the receiving place information as a first legal residence position; determining general position information of the vehicle allowed to reside, and determining the general position information as a second legal residence position; generating the legal parking location based on the first legal parking location and the second legal parking location.
In one embodiment, the outputting the abnormal parking warning information based on the abnormal parking position specifically includes: counting the number of the abnormal resident positions; and when the number of the abnormal resident positions is detected to be larger than or equal to a number threshold value, generating the abnormal resident early warning information, wherein the abnormal resident early warning information comprises a vehicle identifier of the vehicle, attribution information of the vehicle, time information of the vehicle when the vehicle resides in the abnormal resident positions and longitude and latitude information of the abnormal resident positions.
According to another aspect of the present disclosure, there is provided a vehicle residence detection apparatus including: the receiving module is used for receiving the identity information sent by the vehicles and collecting the position information reported by the same vehicle based on the identity information to obtain a position information set; the resident detection module is used for executing resident detection operation on the position information set based on the space-time screening condition to obtain resident position information; the clustering module is used for executing clustering operation on the resident position information to generate an actual resident position of the vehicle; and the generating module is used for outputting abnormal parking early warning information when the vehicle parking abnormality is detected based on the actual parking position and the legal parking position.
According to still another aspect of the present disclosure, there is provided an electronic device including: a processor; and a memory for storing executable instructions for the processor; wherein the processor is configured to perform the vehicle residence detection method of the another aspect described above via execution of the executable instructions.
According to yet another aspect of the present disclosure, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the vehicle residence detection method of any one of the above.
According to the vehicle residence detection scheme provided by the embodiment of the disclosure, the identity information of the vehicle is carried when the vehicle reports the position information, so that the position information of the same vehicle is tracked through identification based on the identity information, a plurality of position information is collected to serve as a position information set, residence position information is identified based on residence detection operation on the position information set, and effective detection of abnormal residence conditions of dangerous chemical vehicles is realized through clustering and abnormal detection operation on the residence position information.
Through setting up positioner, the participation that can significantly reduce artifical supervision to the realization lasts for a long time to the danger article vehicle and covers comprehensively to the supervision of vehicle route region, and then can promote reliability and the detection efficiency that the vehicle unusually resides the testing result, and can further reduce the probability of missing the inspection of danger article vehicle.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. It is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without the exercise of inventive faculty.
FIG. 1 illustrates a schematic diagram of a vehicle occupancy detection system configuration in an embodiment of the present disclosure;
FIG. 2 illustrates a flow chart of a vehicle dwell detection method in an embodiment of the present disclosure;
FIG. 3 illustrates a flow chart of another vehicle dwell detection method in an embodiment of the present disclosure;
FIG. 4 illustrates a flow chart of yet another vehicle presence detection method in an embodiment of the present disclosure;
FIG. 5 illustrates a flow chart of yet another vehicle presence detection method in an embodiment of the present disclosure;
FIG. 6 illustrates a flow chart of yet another vehicle presence detection method in an embodiment of the present disclosure;
FIG. 7 illustrates a flow chart of yet another vehicle presence detection method in an embodiment of the present disclosure;
FIG. 8 illustrates a flow chart of yet another vehicle presence detection method in an embodiment of the present disclosure;
FIG. 9 illustrates a flow chart of yet another vehicle presence detection method in an embodiment of the present disclosure;
FIG. 10 shows a schematic view of a vehicle dwell detection arrangement in an embodiment of the present disclosure;
fig. 11 shows a schematic diagram of an electronic device in an embodiment of the disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
The scheme that this application provided can significantly reduce the degree of participation of artifical supervision to the realization lasts for a long time to the dangerous chemicals vehicle and covers comprehensively to the supervision in vehicle route region, and then can promote reliability and the detection efficiency that the vehicle unusually resides the testing result, and can further reduce the probability of missing the examining of dangerous chemicals vehicle.
For ease of understanding, the following first explains nouns (abbreviations) referred to in the present application.
Hazardous chemical substance vehicle: hazardous chemical transport vehicles.
Fig. 1 shows a schematic structural diagram of a vehicle residence detection system in an embodiment of the present disclosure, which includes a plurality of terminals 120 and a server cluster 140.
The terminal 120 may be a mobile terminal such as a mobile phone, a game console, a tablet Computer, an e-book reader, smart glasses, an MP4(Moving Picture Experts Group Audio Layer IV) player, an intelligent home device, an AR (Augmented Reality) device, a VR (Virtual Reality) device, or a Personal Computer (PC), such as a laptop Computer and a desktop Computer.
Among other things, the terminal 120 may have installed therein an application for providing vehicle presence detection.
The terminals 120 are connected to the server cluster 140 through a communication network. Optionally, the communication network is a wired network or a wireless network.
The server cluster 140 is a server, or is composed of a plurality of servers, or is a virtualization platform, or is a cloud computing service center. The server cluster 140 is used to provide background services for applications that provide vehicle occupancy detection. Optionally, the server cluster 140 undertakes primary computational work and the terminal 120 undertakes secondary computational work; alternatively, the server cluster 140 undertakes secondary computing work and the terminal 120 undertakes primary computing work; alternatively, the terminal 120 and the server cluster 140 perform cooperative computing by using a distributed computing architecture.
In some alternative embodiments, the server cluster 140 is used to store a vehicle resident detection model or the like.
Alternatively, the clients of the applications installed in different terminals 120 are the same, or the clients of the applications installed on two terminals 120 are clients of the same type of application of different control system platforms. Based on different terminal platforms, the specific form of the client of the application program may also be different, for example, the client of the application program may be a mobile phone client, a PC client, or a World Wide Web (Web) client.
Those skilled in the art will appreciate that the number of terminals 120 described above may be greater or fewer. For example, the number of the terminals may be only one, or several tens or hundreds of the terminals, or more. The number of terminals and the type of the device are not limited in the embodiments of the present application.
Optionally, the system may further include a management device (not shown in fig. 1), and the management device is connected to the server cluster 140 through a communication network. Optionally, the communication network is a wired network or a wireless network.
Optionally, the wireless network or wired network described above uses standard communication techniques and/or protocols. The Network is typically the Internet, but may be any Network including, but not limited to, a Local Area Network (LAN), a Metropolitan Area Network (MAN), a Wide Area Network (WAN), a mobile, wireline or wireless Network, a private Network, or any combination of virtual private networks. In some embodiments, data exchanged over a network is represented using techniques and/or formats including Hypertext Mark-up Language (HTML), Extensible markup Language (XML), and the like. All or some of the links may also be encrypted using conventional encryption techniques such as Secure Socket Layer (SSL), Transport Layer Security (TLS), Virtual Private Network (VPN), Internet protocol Security (IPsec). In other embodiments, custom and/or dedicated data communication techniques may also be used in place of, or in addition to, the data communication techniques described above.
Hereinafter, each step in the vehicle residence detection method in the present exemplary embodiment will be described in more detail with reference to the drawings and examples.
Fig. 2 shows a flowchart of a vehicle residence detection method in an embodiment of the present disclosure. The method provided by the embodiment of the present disclosure may be performed by any electronic device with computing processing capability, for example, the terminal 120 and/or the server cluster 140 in fig. 1. In the following description, the terminal 120 is taken as an execution subject for illustration.
As shown in fig. 2, the server cluster 140 performs a vehicle residence detection method, including the steps of:
step S202, receiving identity information sent by vehicles, and collecting position information reported by the same vehicle based on the identity information to obtain a position information set.
The vehicle can be a dangerous chemical vehicle, a positioning device is installed on the dangerous chemical vehicle, the positioning device is used for collecting position information of the vehicle and uploading the position information to a corresponding server, and the server detects the abnormal residence condition of the dangerous chemical vehicle based on the position information of the vehicle.
The Positioning device may be any one of a Global Positioning System (GPS), a beidou satellite navigation System, a galileo satellite navigation System, a Global navigation satellite System, and the like.
Specifically, the identity information may be identity information of a vehicle, such as a license plate number of the vehicle or a vehicle type identification code of the vehicle, or may be an equipment identifier of a positioning device mounted on the vehicle, such as an equipment number of the positioning device.
And step S204, executing residence detection operation on the position information set based on the space-time screening condition to obtain residence position information.
The space-time screening conditions comprise time screening conditions and/or space screening conditions, when the time screening conditions are in a default state, screening can be carried out only on the basis of the space screening conditions, and when the space screening conditions are in a default state, screening can be carried out only on the basis of the time screening conditions.
Preferably, the screening is performed based on both the temporal screening condition and the spatial screening condition to take the location information that meets the temporal and spatial screening condition as the resident location information.
And step S206, clustering operation is carried out on the resident position information to generate the actual resident position of the vehicle.
And performing clustering operation on the resident position information to take the minimum area comprising the resident GPS in the same class as the actual resident position.
And S208, outputting abnormal parking early warning information when the vehicle parking abnormality is detected based on the actual parking position and the legal parking position.
Where a legal parking location may be understood as a non-road area where the vehicle is allowed to park.
The monitoring end can comprise a national road or vehicle supervision department, and can also be an enterprise supervision department to which the vehicle belongs.
In the embodiment, the identity information of the vehicle is carried when the vehicle reports the position information, so that the position information of the same vehicle is tracked through identification based on the identity information, a plurality of pieces of position information are collected to serve as a position information set, the resident position information is identified based on resident detection operation on the position information set, and effective detection of abnormal resident conditions of dangerous chemical substance vehicles is further realized through clustering and abnormal detection operation on the resident position information.
Through setting up positioner, the participation that can significantly reduce artifical supervision to the realization lasts for a long time to the danger article vehicle and covers comprehensively to the supervision of vehicle route region, and then can promote reliability and the detection efficiency that the vehicle unusually resides the testing result, and can further reduce the probability of missing the inspection of danger article vehicle.
As shown in fig. 3, in an embodiment, the identity information includes an equipment identifier of a positioning apparatus used for acquiring location information, and step S202 is to receive the identity information sent by a vehicle, and collect location information reported by the same vehicle based on the identity information to obtain a specific implementation manner of a location information set, including:
step S302, determining a vehicle identifier bound with the equipment identifier based on a preset binding relationship, wherein the vehicle identifier is used for identifying a vehicle.
The positioning device of the vehicle reports the equipment identifier and the position information of the vehicle to the server together, when the server receives the equipment identifier and the position information, the server inquires the pre-stored vehicle identifier bound with the equipment identifier based on the equipment identifier, and the vehicle identifier can be a license plate number specifically so as to realize the tracking of the position information of the same vehicle.
And step S304, receiving the position information reported by the vehicle and the acquisition time corresponding to the position information.
The method comprises the steps of receiving position information and collecting time at the same time, obtaining corresponding continuous position information in a period of continuous time, and detecting whether abnormal residence exists or not based on the continuous position information.
And step S306, when the acquisition duration of the position information reaches the preset duration, generating a position information set of the same vehicle based on the vehicle identification.
The preset time length may be determined based on the departure frequency, the departure time length, and the travel path length of the vehicle, for example, if the departure frequency is high, the preset time length may be set to a large value.
Alternatively, the preset time period may be 7 days, or 30 days.
In this embodiment, a location information set is generated by collecting location information within a preset duration, and the location information set includes location information and corresponding collection time, so as to further screen resident location information from the location information set using a spatio-temporal screening condition.
In one embodiment, the spatiotemporal screening condition includes a first duration threshold, a second duration threshold, and a preset size region, the first duration threshold being less than the second duration threshold.
The first time threshold is used for representing short-time stop of the vehicle in the normal driving process, such as the maximum stop time of waiting for a red light at an intersection, and the second time threshold is used for representing long-time stop of the vehicle in the normal driving process, such as the minimum stop time of rest at night.
The predetermined size region is preferably a region of a regular shape such as a circle, a rectangle, or a square.
As shown in fig. 4, in step S204, a specific implementation manner of performing a parking detection operation on a location information set based on a spatiotemporal filtering condition to obtain parking location information includes:
step S402, in any time period which is greater than or equal to the first time length threshold and less than or equal to the second time length threshold, detecting that a plurality of pieces of position information in a position information set in the time period are distributed in an area with a preset size, and determining the plurality of pieces of position information as a group of resident position information.
In step S404, a plurality of sets of resident location information are generated based on a plurality of time periods.
In the embodiment, in any time period, if a plurality of pieces of position information in the position information set in the time period are detected to be distributed in a preset size area, which indicates that the vehicle has a parking condition, the time period smaller than the first time length threshold value and the time period larger than the second time length threshold value are excluded, so that scenes of short parking and overnight parking in the driving process are excluded, so that an actual parking position where an abnormal parking may exist is reserved, and the reliability of abnormal parking detection is ensured.
As shown in fig. 5, in an embodiment, the step S206, performing a clustering operation on the parking location information to generate a specific implementation manner of the actual parking location of the vehicle, includes:
step S502, for each preset size area, determining a central point or the number of the resident positions in the resident position information in the preset size area.
Wherein the dwell position is the dwell point.
Step S504, the central point is determined as a clustering center, and clustering operation is performed based on the number of the clustering centers or the number of the parking positions to generate the actual parking positions of the vehicle.
In this embodiment, the number of cluster classes, i.e., the number of stationary points or the cluster center, is specified in advance, and by repeating the iteration until a target of "the points within the cluster are close enough and the points between the clusters are far enough" is finally reached as the actual stationary position of the vehicle.
Among them, the classical partitional clustering methods are k-means and its variants k-means + +, bi-means, kernel k-means, etc.
As shown in fig. 6, in an embodiment, in step S208, when the vehicle parking abnormality is detected based on the actual parking position and the legal parking position, a specific implementation manner of outputting the abnormal parking warning information includes:
step S602, a legal parking position is obtained.
Step S604, delete the valid parking position from the actual parking positions, and determine the remaining actual parking positions as abnormal parking positions.
And step S606, outputting the abnormal residence early warning information based on the abnormal residence position, and feeding back to the monitoring end to output the abnormal residence early warning information.
In this embodiment, by deleting the legal residence position in the actual residence position, the remaining positions are the abnormal residence positions, and generating the abnormal residence early warning information based on the abnormal residence positions, the abnormal residence early warning information may be generated based on at least one of the number of the abnormal residence positions, the frequency of the same abnormal residence position, and the time duration corresponding to the abnormal residence position, and reported to the monitoring end, so as to implement an intelligent detection process.
As shown in fig. 7, in an embodiment, the step S602 of obtaining a specific implementation manner of the legal parking location includes:
step S702, acquiring an electronic waybill of the vehicle, extracting the consignment place information and the receiving place information in the electronic waybill, and determining the consignment place information and the receiving place information as a first legal residence position.
And step S704, determining the general position information of the vehicle allowed to reside, and determining the general position information as a second legal residence position.
General location information that a vehicle is allowed to reside in includes, but is not limited to, hazardous chemical enterprises, service areas, catering units, chemical parks, service stations, parking lots, toll booths, hazardous chemical waste enterprises, ports, and certain areas around them.
Step S706, a legal parking position is generated based on the first legal parking position and the second legal parking position.
As shown in fig. 8, in an embodiment, a specific implementation manner of outputting the abnormal parking warning information based on the abnormal parking position in step S606 includes:
step S802, counting the number of the abnormal resident positions.
Step S804, when it is detected that the number of the abnormal residence positions is greater than or equal to the number threshold, generating abnormal residence warning information.
The abnormal parking early warning information comprises vehicle identification of the vehicle, attribution information of the vehicle, time information when the vehicle is parked at the abnormal parking position and longitude and latitude information of the abnormal parking position.
In the embodiment, the vehicle residence detection is performed by taking the position information generated when the vehicle transports the hazardous chemical substances within the time period of the preset time as the source data, if the time and position distribution of the GPS data meet specific conditions, the vehicle is considered to reside in the area, and the position information in the residence area is aggregated into the actual residence position, so that all the actual residence positions of the vehicle are obtained. And then detecting the parking positions, namely parking points, in the legal parking area according to the existing legal parking positions, removing the legal parking positions from the vehicle parking position set to obtain abnormal parking positions, counting the total number of the abnormal parking positions of the vehicle, considering that the vehicle has an abnormal parking condition if the total number exceeds a specified threshold, and setting a number threshold to prevent direct early warning when a driver unintentionally stops at the abnormal parking position or the vehicle stops at the abnormal parking position due to failure.
The vehicle residence detection scheme can be divided into four modules, namely a data acquisition and uploading module arranged on a hazardous chemical substance transport vehicle, a time-space data receiving and storing module arranged on a server, an abnormal residence detection module arranged on the server and an early warning information generating and sending module arranged on the server.
As shown in fig. 9, a vehicle residence detection method according to one embodiment of the present disclosure includes:
and step S902, the vehicle positioning device collects and uploads position information.
The data acquisition and uploading module is specifically a positioning device, when the vehicle transports dangerous chemicals, the positioning device is in an open state, and the communication module can transmit information such as GPS data, equipment numbers and data acquisition time of the vehicle to a GPS time-space database in the time-space data receiving and storing module in real time through a 2G/3G/4G network.
Step S904, the GPS information is stored in a time-space database.
Specifically, the spatiotemporal data receiving and storing module receives the uploaded GPS data, processes the data and then stores the processed data in the database.
In step S906, vehicle position information within approximately 30 days is acquired from the space-time database.
The abnormal resident position detection module comprises an abnormal resident detection model established based on the vehicle position information, and abnormal resident detection is carried out based on the model.
Specifically, a license plate number list is obtained from dangerous chemical vehicle data, and for each vehicle, position information of the vehicle in the process of transporting dangerous chemicals in 30 days is obtained from a time-space database.
Step S908 is to perform vehicle parking detection based on the vehicle position information, and obtain parking position information.
And aiming at each vehicle, performing residence detection on the position information of the vehicle, and performing clustering operation on the position information meeting the conditions to obtain an actual residence position.
Specifically, if the continuous position information of the vehicle in any time period t is distributed in a circular area with a radius r, that is, a preset size area, and satisfies: t is tmin≤t≤tmax，r≤rmax。
Wherein, tminAnd tmaxRespectively a first time threshold and a second time threshold, rmaxAnd if the radius threshold value is the radius threshold value corresponding to the preset size area, the vehicle is considered to have residence in the area, and the residence time is the residence time period. If the duration t of the residence time period is less than tminOr t > tmaxIf the vehicle is stopped at the intersection, the vehicle is judged to be stopped for a short time or stopped for a long time at night.
Step S910, clustering the information of the residence position to obtain the actual residence position.
Specifically, after all parking areas of the vehicle are detected, clustering operation is carried out on parking position information in the areas so as to narrow the parking areas to form parking actual parking positions.
In step S912, all actual parking positions of the vehicle are acquired.
Specifically, all the actual parking positions of the vehicle in the last 30 days are obtained through the clustering operation and are recorded as sp ═ { sp ═ sp1,sp2,...,spi...,spnIn which spiRepresenting the ith actual parking location of the vehicle and n representing the total number of actual parking locations.
In step S914, a legal parking position of the vehicle is obtained.
Specifically, for each vehicle, a legal parking location of the vehicle is acquired.
Because the dangerous chemical substance vehicle fills the electronic freight note before transporting the dangerous chemical substance each time, the consignment unit and the receiving unit in the electronic freight note, namely the consignment place information and the receiving place information are extracted to be used as the first legal residence area.
In addition, other hazardous chemical enterprises, service areas, catering units, chemical industry parks, inspection stations, parking lots, toll stations, waste production enterprises of hazardous chemical, ports and designated areas around the areas are all regarded as second legal residence areas.
Traversing all the actual residing position sets sp obtained in the step S912, and marking the residing positions in the set falling in the legal residing area as legal residing positions.
Step S916, removing the legal parking location from all the actual parking locations to obtain an abnormal parking location.
Specifically, the legal parking positions in the set of actual parking positions of each vehicle are rejected. That is, the valid parking position obtained in step S914 is removed from the actual parking position set sp, and the remaining abnormal parking position is saved.
In step S918, the number of abnormal resident locations is counted.
Counting the number of abnormal parking positions of each vehicle, specifically, counting the number of abnormal parking positions of each vehicle in about 30 days
In step S920, it is detected that the number of the abnormal resident positions exceeds a predetermined threshold.
Specifically, if the number of abnormal parking positions exceeds a predetermined threshold value, that is, a number threshold value, it is determined that the vehicle has an abnormal parking situation in about 30 days, and vehicle information and a determination result are output.
And step S922, generating the vehicle abnormal parking early warning information.
Specifically, the early warning information generation and sending module for the abnormal vehicle residence generates early warning information according to the result returned by the model and sends the early warning information to the monitoring terminal.
The early warning information comprises a license plate number, a company to which the vehicle belongs, residence starting time, residence time, longitude and latitude of a residence position and vehicle waybill information.
It is to be noted that the above-mentioned figures are only schematic illustrations of the processes involved in the method according to an exemplary embodiment of the invention, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or program product. Thus, various aspects of the invention may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.
The vehicle residence detecting device 1000 according to this embodiment of the invention is described below with reference to fig. 10. The vehicle residence detecting device 1000 shown in fig. 10 is only an example, and should not bring any limitation to the function and the range of use of the embodiment of the present invention.
The vehicle residence detection device 1000 is embodied in the form of a hardware module. The components of the vehicle residence detection device 1000 may include, but are not limited to: the receiving module 1002 is configured to receive identity information sent by a vehicle, and collect location information reported by the same vehicle based on the identity information to obtain a location information set; a residence detection module 1004, configured to perform a residence detection operation on the position information set based on the spatio-temporal screening condition to obtain residence position information; the clustering module 1006 is used for performing clustering operation on the resident position information to generate an actual resident position of the vehicle; the generating module 1008 is configured to output the abnormal parking early warning information when the vehicle parking abnormality is detected based on the actual parking position and the legal parking position.
In one embodiment, the identity information includes an equipment identifier of a positioning apparatus used for acquiring the location information, and the receiving module 1002 is further configured to: determining a vehicle identifier bound with the equipment identifier based on a preset binding relationship, wherein the vehicle identifier is used for identifying a vehicle; receiving the collection time corresponding to the position information reported by the vehicle; and when the acquisition duration of the position information reaches the preset duration, generating a position information set of the same vehicle based on the vehicle identification.
In one embodiment, the spatiotemporal filtering condition includes a first duration threshold, a second duration threshold and a preset size region, the first duration threshold is smaller than the second duration threshold, and the residence detection module 1004 is further configured to: in any time period which is greater than or equal to the first time length threshold and less than or equal to the second time length threshold, detecting that a plurality of pieces of position information in a position information set in the time period are distributed in a preset size area, and determining the plurality of pieces of position information as resident position information.
In one embodiment, clustering module 1006 is further configured to: for each preset size area, determining the number of central points or resident positions in resident position information in the preset size area; and determining the central point as a clustering center, and performing clustering operation based on the number of the clustering centers or the resident positions to generate the actual resident positions of the vehicle.
In one embodiment, the generation module 1008 further comprises: an obtaining sub-module 10082, configured to obtain a legal parking location; a deleting submodule 10084, configured to delete a valid parking location from the actual parking location, and determine the remaining actual parking location as an abnormal parking location; the generating sub-module 10086 is configured to output the abnormal parking warning information based on the abnormal parking position.
In one embodiment, the acquisition sub-module 10082 is further configured to: acquiring an electronic freight note of a vehicle, extracting consignment place information and receiving place information in the electronic freight note, and determining the consignment place information and the receiving place information as a first legal residence position; determining general position information of the vehicle allowed to reside, and determining the general position information as a second legal resident position; a legitimate park location is generated based on the first legitimate park location and the second legitimate park location.
In one embodiment, the generation submodule 10086 is further configured to: counting the number of abnormal resident positions; and when the number of the abnormal resident positions is detected to be larger than or equal to the number threshold value, generating abnormal resident early warning information, wherein the abnormal resident early warning information comprises vehicle identification of the vehicle, attribution information of the vehicle, time information of the vehicle when the vehicle is resident at the abnormal resident positions and longitude and latitude information of the abnormal resident positions.
An electronic device 1100 according to this embodiment of the invention is described below with reference to fig. 11. The electronic device 1100 shown in fig. 11 is only an example and should not bring any limitations to the function and the scope of use of the embodiments of the present invention.
As shown in fig. 11, electronic device 1100 is embodied in the form of a general purpose computing device. The components of the electronic device 1100 may include, but are not limited to: the at least one processing unit 1110, the at least one memory unit 1120, and a bus 1130 that couples various system components including the memory unit 1120 and the processing unit 1110.
Where the memory unit stores program code, which may be executed by the processing unit 1110 to cause the processing unit 1110 to perform steps according to various exemplary embodiments of the present invention as described in the above-mentioned "exemplary methods" section of this specification. For example, the processing unit 1110 may perform steps S202, S204, S206, and S208 as shown in fig. 2, and other steps defined in the vehicle residence detection method of the present disclosure.
The storage unit 1120 may include a readable medium in the form of a volatile memory unit, such as a random access memory unit (RAM)11201 and/or a cache memory unit 11202, and may further include a read only memory unit (ROM) 11203.
The electronic device 1100 may also communicate with one or more external devices 1160 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 1100 to communicate with one or more other computing devices. Such communication may occur via an input/output (I/O) interface 1150. Also, the electronic device 1100 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the internet) via the network adapter 1150. As shown, the network adapter 1150 communicates with the other modules of the electronic device 1100 via the bus 1130. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, there is also provided a computer-readable storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, aspects of the invention may also be implemented in the form of a program product comprising program code means for causing a terminal device to carry out the steps according to various exemplary embodiments of the invention described in the above-mentioned "exemplary methods" section of the present description, when the program product is run on the terminal device.
According to the program product for realizing the method, the portable compact disc read only memory (CD-ROM) can be adopted, the program code is included, and the program product can be operated on terminal equipment, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
Moreover, although the steps of the methods of the present disclosure are depicted in the drawings in a particular order, this does not require or imply that the steps must be performed in this particular order, or that all of the depicted steps must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions, etc.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a mobile terminal, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, 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 true scope and spirit of the disclosure being indicated by the following claims.
Claims (10)
1. A vehicle residence detection method, comprising:
receiving identity information sent by vehicles, and collecting position information reported by the same vehicle based on the identity information to obtain a position information set;
performing a resident detection operation on the position information set based on a space-time screening condition to obtain resident position information;
performing clustering operation on the resident position information to generate an actual resident position of the vehicle;
and outputting abnormal parking early warning information when the vehicle parking abnormality is detected based on the actual parking position and the legal parking position.
2. The vehicle residence detection method according to claim 1, wherein the identity information includes an equipment identifier of a positioning device used for acquiring the location information, the identity information sent by the receiving vehicle collects location information reported by the same vehicle based on the identity information to obtain a location information set, and specifically includes:
determining a vehicle identifier bound with the equipment identifier based on a preset binding relationship, wherein the vehicle identifier is used for identifying the vehicle;
receiving the position information reported by the vehicle and the acquisition time corresponding to the position information;
and when the acquisition duration of the position information reaches a preset duration, generating the position information set of the same vehicle based on the vehicle identification.
3. The vehicle parking detection method according to claim 2, wherein the spatiotemporal filtering condition includes a first duration threshold, a second duration threshold and a preset size area, the first duration threshold is smaller than the second duration threshold, and the performing parking detection operation on the location information set based on the spatiotemporal filtering condition to obtain the parking location information specifically includes:
in any time period greater than or equal to the first time length threshold and less than or equal to the second time length threshold, detecting that a plurality of time-continuous location information in the location information set in the time period are distributed in the preset size area, and determining the plurality of time-continuous location information as the resident location information.
4. The vehicle residence detection method according to claim 3, wherein the clustering operation is performed on the residence position information to generate the actual residence position of the vehicle, specifically comprising:
for each preset size area, determining the number of central points or resident positions in the resident position information in the preset size area;
and determining the central point as a clustering center, and performing clustering operation based on the number of the clustering centers or the resident positions to generate the actual resident positions of the vehicle.
5. The vehicle residence detection method according to any one of claims 1 to 4, wherein when the vehicle residence abnormality is detected based on the actual residence position and the legal residence position, the outputting of the abnormal residence warning information specifically includes:
acquiring the legal residence position;
deleting the legal residence position in the actual residence position, and determining the remaining actual residence position as an abnormal residence position;
and outputting the abnormal resident early warning information based on the abnormal resident position.
6. The vehicle parking detection method according to claim 5, wherein the acquiring the legal parking location specifically comprises:
acquiring an electronic freight note of the vehicle, extracting consignment place information and receiving place information in the electronic freight note, and determining the consignment place information and the receiving place information as a first legal residence position;
determining general position information of the vehicle allowed to reside, and determining the general position information as a second legal residence position;
generating the legal parking location based on the first legal parking location and the second legal parking location.
7. The vehicle residence detection method according to claim 5, wherein the outputting the abnormal residence warning information based on the abnormal residence position specifically includes:
counting the number of the abnormal resident positions;
when the number of the abnormal resident positions is larger than or equal to the number threshold value, generating the abnormal resident early warning information,
the abnormal parking early warning information comprises a vehicle identification of the vehicle, attribution information of the vehicle, time information when the vehicle is parked at the abnormal parking position and longitude and latitude information of the abnormal parking position.
8. A vehicle residence detection device, comprising:
the receiving module is used for receiving the identity information sent by the vehicles and collecting the position information reported by the same vehicle based on the identity information to obtain a position information set;
the resident detection module is used for executing resident detection operation on the position information set based on the space-time screening condition to obtain resident position information;
the clustering module is used for executing clustering operation on the resident position information to generate an actual resident position of the vehicle;
and the generating module is used for outputting abnormal parking early warning information when the vehicle parking abnormality is detected based on the actual parking position and the legal parking position.
9. An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the vehicle residence detection method of any one of claims 1-7 via execution of the executable instructions.
10. A computer-readable storage medium on which a computer program is stored, the computer program, when being executed by a processor, implementing the vehicle residence detection method according to any one of claims 1 to 7.
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