CN114390459A - Method for identifying illegal and excessive person carrying of agricultural vehicle and storage medium - Google Patents
Method for identifying illegal and excessive person carrying of agricultural vehicle and storage medium Download PDFInfo
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Abstract
The invention relates to an identification method and a storage medium for illegal and overloaded people of an agricultural vehicle, wherein the method comprises the steps of obtaining longitude and latitude and coverage information of roads and base stations, screening information of passing gates of the agricultural vehicle according to real-time vehicle passing data, extracting base station signaling data corresponding to the gates through which the agricultural vehicle passes according to a mapping relation between the road gates and the base stations, and screening mobile phone users moving on the roads corresponding to the gates according to the matching between the longitude and latitude data of the users in the mobile phone signaling MR information and the road data; extracting the user signaling data, calculating the moving speed and position of the user in a certain past time period, continuously tracking the mobile phone signaling data of the suspected fellow users, and outputting the mobile phone signaling data as the suspected illegal surcharge manned vehicle of the agricultural vehicle if the speed, position and number of people of the fellow users continuously meet the requirements of the speed, position and number of people of the fellow users after a certain time period; the traffic management department can carry out investigation in advance, reduce or avoid traffic accidents and simultaneously reduce the patrol pressure of traffic polices.
Description
Technical Field
The invention relates to the technical field of mobile source emission prediction in the field of environmental monitoring, in particular to a method, equipment and a storage medium for identifying illegal and excessive personnel carrying of an agricultural vehicle.
Background
In recent years, illegal and overloaded people-carrying traffic accidents of tractors, low-speed trucks and three-wheeled vehicles happen occasionally, so that great loss is brought to the safety of lives and properties of people, and especially in busy seasons, the illegal and overloaded people-carrying situations of agricultural vehicles are prominent, and the accident risk is higher. However, most of the vehicles are traveling on the country, province, county and county roads in rural and township areas, so that the traffic management is weak, and the vehicles are difficult to find without active patrol of a traffic police. How to identify whether illegal and overloaded people exist on a tractor, a low-speed truck and a three-wheeled vehicle which run on a road and the running road section of the vehicle is a problem which needs to be solved urgently.
Disclosure of Invention
The invention provides a method, a system and equipment for identifying illegal and excessive manned persons of agricultural vehicles, which can at least solve one of the technical problems in the background technology.
In order to achieve the purpose, the invention adopts the following technical scheme:
an agricultural vehicle illegal and excessive person carrying identification method is characterized in that the following steps are executed through computer equipment, and the method comprises the following steps:
screening longitude and latitude information of base stations covering national, provincial and county roads of rural and township, wherein the latitude information does not contain urban roads, and meshing processing is carried out on the coverage range of the base stations by using a geohash algorithm;
screening country, province and county road codes and longitude and latitude information passing through rural areas and towns;
segmenting the road data according to the base station grid data and the road longitude and latitude data, and making correspondence with the base station grid, namely the road section covered by the base station;
screening vehicle passing data of the agricultural vehicle passing through the bayonet according to the bayonet vehicle passing data;
extracting base station signaling data corresponding to a gate through which the agricultural vehicle passes, and screening mobile phone users moving on a road through which the gate through which the agricultural vehicle passes according to mobile phone MR data and the mapping relation between the mobile phone user position information and the base station and the road;
calculating the moving speed of the users in a certain past time through the data acquisition time interval and the user moving position change, screening that the moving speed of the users is lower than 30km/h, and more than 4 users are in the same position, and the users travel for more than one kilometer in the same direction at the same speed, and judging that the suspected agricultural vehicle illegal surcharge carries people;
and outputting the position information of the suspected persons carrying the illegal and excessive persons of the agricultural vehicle to a traffic management department in real time according to the mobile phone signaling information.
Further, the screening of the longitude and latitude information of the base station covering the country, province and county roads of the rural and township does not include the urban road, and the meshing processing is performed on the coverage range of the base station by using the geohash algorithm, and the method comprises the following steps:
road codes, longitude and latitude information and checkpoint position information of national, provincial and county roads covering rural and rural towns are obtained, road data are cleaned, and grouping and carding are carried out according to the county and rural towns where the roads are located, so that administrative divisions, road codes, road properties, checkpoint positions and longitude and latitude information of road attributions are formed.
Further, the road codes and longitude and latitude information of countries, provinces and counties which pass through rural areas and towns are screened,
and gridding the coverage area of the base station according to the name of the base station and the longitude and latitude position information of the base station, dividing the coverage area into grids with different specifications according to the type, the coverage area and the position of the base station, and matching the covered road section with the gate by using the longitude and latitude of the grids.
Further, according to the base station grid data and the road longitude and latitude data, the road data is segmented and corresponds to the base station grid, namely the road section covered by the base station comprises the following steps:
according to the data after the base station grids and the longitude and latitude of the roads are matched, the roads are processed in a segmented mode, each section of road and a gate are mapped into grids covered by a corresponding base station, the road sections are coded and sequenced, and a corresponding relation table of base station information, grid codes, road section codes and gate numbers is established.
Further, the screening of the vehicle passing data of the agricultural vehicle passing through the bayonet according to the bayonet vehicle passing data comprises,
and extracting real-time vehicle passing data, and screening the vehicle passing data of the gates through which the agricultural vehicles pass to obtain vehicle passing time, license plate numbers, license plate types, vehicle passing directions, road codes, gate numbers and vehicle passing speeds.
Further, the calculating the moving speed of the users in the past time through the data acquisition time interval and the user moving position change comprises:
4.1, through the MR data of the mobile phone, the identification and the received level value of the cell where the mobile phone is located and the identification and the level value of the adjacent cell in a certain past time period can be obtained;
4.2, grouping according to the mobile phone number identification, grouping and sequencing MR signaling data, and obtaining information lists of cells, longitude and latitude information, level value information, acquisition time and the like which are passed by each mobile phone user according to the time sequence;
4.3, according to the longitude and latitude information in the mobile phone MR information list, matching the position information of the road, according to the start time and the end time of information acquisition, calculating the corresponding time difference T, the start position and the end position of the user moving on the road, calculating the moving distance L on the road, and finally obtaining the moving speed S of the user: and S is L/T.
Further, step 4.3 is followed by the following steps:
4.4, the method for confirming the same-row users comprises the steps of matching road grid data through longitude and latitude data of a base station MR signaling switched by a mobile phone of a user to obtain passing road grid information, extracting road grid data which are passed by the user in a period of time before different users pass through the same gate, sequencing the road grid data according to the passing time, calculating the similarity of passing road tracks by using an improved LCSS algorithm, and regarding the users with the similarity of the passing road grid tracks being more than or equal to 70% in the same period of time as the same-row users.
Further, the improved LCSS algorithm calculates the similarity of the moving tracks as follows:
screening MR signaling data of mobile phone users passing through the road at the same time in base station signaling according to the passing time of the agricultural vehicle passing through the gate and the road code in the passing data, and extracting the base station information and the time information of the users passing through the road in a period of time;
thirdly, sequencing the passed base station information according to the sequence of the passed time, matching the passed base station information with the road grid information to obtain the road grid information and sequence information corresponding to the passed time, calculating the average moving speed of the user in the time period according to the moving distance and the time of the user, and removing the users with the average moving speed of more than 30km/h and less than 10 km/h;
obtaining a user movement track sequence meeting the conditions:
Tt＝{(L1，t1)，(L2，t2)，...，(Li，ti)，(Ln，tn)}
wherein (L)i，ti) Indicating that the user moves to a road location L corresponding to a base stationiCorresponding time ti；
Ninthly, the calculation formula of the time similarity coefficient is as follows:
where Δ T is the precision, Ti(u) shows that the mobile phone user u arrives at the corresponding road position L of a certain base station at a certain time precisioniTime of (u), Tj(v) Indicating that the mobile phone user reaches the corresponding road position L of a certain base station within a certain time precisionjTime of (n), δ (L)i(u)，Lj(v) Is a coincidence formula, the value is 1 when the road positions of the two users coincide, otherwise it is 0;
in conjunction with time factor, the improved LCSS sequence similarity algorithm is:
wherein the first part of the formula represents the longest common subsequence of road information that users u and v have traveled for a certain period of time, and the second part represents the proportion of two users at the same position in the vicinity time at each time accuracy.
On the other hand, the invention also comprises a method for identifying the illegal and excessive manned of the agricultural vehicle, which comprises the following steps:
screening base station information of national, provincial and county roads covering rural areas and towns, and carrying out meshing processing on the coverage range of the base station by using a geohash algorithm;
screening country, province and county road codes and longitude and latitude information passing through rural areas and towns;
segmenting the road data according to the base station grid data and the road longitude and latitude data, and making correspondence with the base station grid, namely the road section covered by the base station;
extracting signaling data of mobile phone users residing under a base station, screening users moving on the road, and calculating the moving speed and position information of the users;
screening users with the moving speed lower than 30km/h according to the user position information and the moving speed, and preliminarily identifying the users with the number of people in the same row exceeding four persons as suspected riding agricultural vehicle users if the users have the same position in the same row, the same speed in the same row and the same distance in the same row larger than 1 km;
screening the agricultural vehicle passing data passing through the gate according to the gate passing data, wherein the agricultural vehicle passing data comprises vehicle number plate information, passing time and gate point position numbers;
the time and the position of the agricultural vehicle passing the gate are the same as the time and the position of the suspected agricultural vehicle user passing the gate, and the suspected agricultural vehicle illegal superman carrying is judged;
and outputting the position information of the suspected persons carrying the illegal and excessive persons of the agricultural vehicle to a traffic management department in real time according to the mobile phone signaling information.
In yet another aspect, the present invention also discloses a computer readable storage medium storing a computer program, which when executed by a processor causes the processor to perform the steps of the method as described above.
In yet another aspect, the present invention also discloses a computer device comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of the above method.
According to the technical scheme, the method for identifying the illegal and overloaded people of the agricultural vehicle comprises the steps of calculating the mobile speed of a mobile phone, the position of a mobile phone grid and a road point location grid through mobile phone signaling data and road card passing data, matching, identifying whether the illegal and overloaded people exist in the vehicles and the road sections where the vehicles run by combining the passing data, and sending road section information to a traffic police management department for suspected vehicles to go out of police and patrol in time to prevent traffic accidents.
Generally speaking, the traffic accidents caused by the illegal and excessive people carried by the agricultural vehicle of the invention occur sometimes, and the casualties and property losses are caused.
Drawings
FIG. 1 is a block diagram of the process of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention.
As shown in fig. 1, the method for identifying an illegal and excessive manned member of an agricultural vehicle according to the embodiment performs the following steps by a computer device,
the first method is as follows:
1. screening longitude and latitude information (non-urban roads) of base stations covering national, provincial and county roads of rural and township, and carrying out meshing processing on the coverage range of the base stations by using a geohash algorithm;
2. screening country, province and county road codes and longitude and latitude information passing through rural areas and towns;
3. segmenting the road data according to the base station grid data and the road longitude and latitude data, and making correspondence with the base station grid, namely the road section covered by the base station;
4. screening the passing data of agricultural vehicles (tractors, low-speed trucks and tricycles) passing through the bayonet according to the bayonet passing data, wherein the passing data comprises vehicle number plate information, passing time and bayonet point position numbers;
5. and extracting base station signaling data corresponding to the bayonet through which the agricultural vehicle passes, and screening mobile phone users moving on the road through which the bayonet through which the agricultural vehicle passes according to the mobile phone MR data and the mapping relation between the mobile phone user position information and the base station and the road. Calculating the moving speed of the users in a certain past time through the data acquisition time interval and the user moving position change, screening that the moving speed of the users is lower than 30km/h, and more than 4 users are in the same position, and the users travel for more than one kilometer in the same direction at the same speed, and judging that the suspected agricultural vehicle illegal surcharge carries people;
6. and outputting the position information of the suspected persons carrying the illegal and excessive persons of the agricultural vehicle to a traffic management department in real time according to the mobile phone signaling information.
The second method comprises the following steps:
1. screening base station information of national, provincial and county roads covering rural areas and towns, and carrying out meshing processing on the coverage range of the base station by using a geohash algorithm;
2. screening country, province and county road codes and longitude and latitude information passing through rural areas and towns;
3. segmenting the road data according to the base station grid data and the road longitude and latitude data, and making correspondence with the base station grid, namely the road section covered by the base station;
4. extracting signaling data of mobile phone users residing under a base station, screening users moving on the road, and calculating the moving speed and position information of the users;
5. screening users with the moving speed lower than 30km/h according to the user position information and the moving speed, and preliminarily identifying the users with the number of people in the same row exceeding four persons as suspected riding agricultural vehicle users if the users have the same position in the same row, the same speed in the same row and the same distance in the same row larger than 1 km;
6. screening the passing data of agricultural vehicles (tractors, low-speed trucks and tricycles) passing through the bayonet according to the bayonet passing data, wherein the passing data comprises vehicle number plate information, passing time and bayonet point position numbers;
7. the time and the position of the agricultural vehicle passing the gate are the same as the time and the position of the suspected agricultural vehicle user passing the gate, and the suspected agricultural vehicle illegal superman carrying is judged;
8. and outputting the position information of the suspected persons carrying the illegal and excessive persons of the agricultural vehicle to a traffic management department in real time according to the mobile phone signaling information.
The following is specifically described by taking the mode one as an example:
1. acquiring longitude and latitude and coverage information of road and base station
1.1, road information
Acquiring road codes, longitude and latitude information and checkpoint position information of national, provincial and county roads covering rural areas and towns, cleaning road data, and performing grouping and carding according to the counties and towns where the roads are located to form administrative divisions, road codes, road properties, checkpoint positions, longitude and latitude information and the like of road attributions;
1.2 base station latitude and longitude information and coverage information
Gridding the coverage area of the base station according to the name of the base station and the longitude and latitude position information of the base station, dividing the coverage area into grids with different specifications according to the type, the coverage area and the position of the base station, and matching the covered road section with a bayonet by using the longitude and latitude of the grids;
and 1.3, performing segmentation processing on the road according to the base station grids and the data after the longitude and latitude of the road are matched, mapping each section of road and a gate into the grids covered by the corresponding base station, and performing coding sequencing on road sections. Establishing a corresponding relation table of base station information, grid codes, road section codes and bayonet numbers;
2. screening the information of the agricultural vehicle passing through the checkpoint according to the real-time vehicle passing data
Extracting real-time vehicle passing data, and screening passing data of a passing gate of a useful agricultural vehicle to obtain vehicle passing time, license plate number, license plate type, passing direction, road code, gate number and passing speed;
3. extracting base station signaling data corresponding to a gate through which a farm vehicle passes according to a mapping relation between a road gate and a base station, matching the base station signaling data with the road data according to longitude and latitude data of a user in mobile phone signaling MR information, and screening mobile phone users moving on the road corresponding to the gate;
4. extracting the user signaling data, and calculating the moving speed and position of the user in a certain period of time;
4.1, through the MR data of the mobile phone, the identification and the received level value of the cell where the mobile phone is located and the identification and the level value of the adjacent cell in a certain past time period can be obtained;
4.2, grouping according to the mobile phone number identification, grouping and sequencing MR signaling data, and obtaining information lists of cells, longitude and latitude information, level value information, acquisition time and the like which are passed by each mobile phone user according to the time sequence;
4.3, according to the longitude and latitude information in the mobile phone MR information list, matching the position information of the road, according to the start time and the end time of information acquisition, calculating the corresponding time difference T, the start position and the end position of the user moving on the road, calculating the moving distance L on the road, and finally obtaining the moving speed S of the user: L/T is equal to S;
4.4, the method for confirming the same-row users comprises the steps of matching road grid data through longitude and latitude data of a base station MR signaling switched by a mobile phone of a user to obtain passing road grid information, extracting road grid data which are passed by the user in a period of time before different users pass through the same gate, sequencing the road grid data according to the passing time, calculating the similarity of passing road tracks by using an improved LCSS algorithm, and regarding the users with the similarity of the passing road grid tracks being more than or equal to 70% in the same period of time as the same-row users.
The steps of calculating the similarity of the moving tracks by the improved LCSS algorithm are as follows:
Wherein (L)i，ti) Indicating that the user moves to a road location L corresponding to a base stationiCorresponding time ti；
where Δ T is the precision, Ti(u) shows that the mobile phone user u arrives at the corresponding road position L of a certain base station at a certain time precisioniTime of (u), Tj(v) Indicating that the mobile phone user reaches the corresponding road position L of a certain base station within a certain time precisionjTime of (n), δ (L)i(u)，Lj(v) Is a coincidence formula, the value is 1 when the road positions of the two users coincide, otherwise it is 0;
the first part of the formula represents the longest public subsequence of road information passed by the user u and the user v in a certain time period, and the second part represents the proportion of the two users at the same position of adjacent time under each time precision;
and 4.5, screening the users in the same row with the moving speed of more than 10km/h and less than 30km/h according to the calculated moving speed and the calculated moving position information of the users in the same row, and preliminarily identifying the users as suspected riding agricultural vehicle users if the moving positions of more than 4 users are the same, the speed is the same, the direction is the same, and the distance in the same row is more than 1 km.
5. Continuously tracking the mobile phone signaling data of the suspected same-row users, and outputting the mobile phone signaling data as the person carrying the illegal and excessive persons of the suspected agricultural vehicle if the users continuously meet the speed, the position and the number of the persons in the same row after a certain time period passes through a card port;
6. and outputting the road section code and the driving direction of the user identified as the suspected illegal and overloaded people of the agricultural vehicle, and providing the data to a traffic management department for the traffic management department to perform troubleshooting processing before the demand.
In yet another aspect, the present invention also discloses a computer readable storage medium storing a computer program, which when executed by a processor causes the processor to perform the steps of the method as described above.
In yet another aspect, the present invention also discloses a computer device comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of the above method.
It is understood that the system provided by the embodiment of the present invention corresponds to the method provided by the embodiment of the present invention, and the explanation, the example and the beneficial effects of the related contents can refer to the corresponding parts in the method.
The embodiment of the application also provides an electronic device, which comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete mutual communication through the communication bus,
a memory for storing a computer program;
and the processor is used for realizing the method for identifying the illegal and excessive person carrying people of the agricultural vehicle when executing the program stored in the memory.
The communication bus mentioned in the electronic device may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The communication bus may be divided into an address bus, a data bus, a control bus, etc.
The communication interface is used for communication between the electronic equipment and other equipment.
The Memory may include a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), or other Programmable logic devices, discrete Gate or transistor logic devices, or discrete hardware components.
In yet another embodiment provided by the present application, there is further provided a computer readable storage medium having a computer program stored therein, the computer program, when executed by a processor, implementing the steps of any of the above-mentioned methods for identifying an unlawful overload bearer of an agricultural vehicle.
In yet another embodiment provided by the present application, there is also provided a computer program product containing instructions which, when run on a computer, cause the computer to perform any of the above-described embodiments of the method for identifying an illicit supermember manned by an agricultural vehicle.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, 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 identical elements in a process, method, article, or apparatus that comprises the element.
All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. An agricultural vehicle illegal and excessive person carrying identification method is characterized by comprising the following steps:
screening longitude and latitude information of base stations covering national, provincial and county roads of rural and township, wherein the latitude information does not contain urban roads, and meshing processing is carried out on the coverage range of the base stations by using a geohash algorithm;
screening country, province and county road codes and longitude and latitude information passing through rural areas and towns;
segmenting the road data according to the base station grid data and the road longitude and latitude data, and making correspondence with the base station grid, namely the road section covered by the base station;
screening vehicle passing data of the agricultural vehicle passing through the bayonet according to the bayonet vehicle passing data;
extracting base station signaling data corresponding to a gate through which the agricultural vehicle passes, and screening mobile phone users moving on a road through which the gate through which the agricultural vehicle passes according to mobile phone MR data and the mapping relation between the mobile phone user position information and the base station and the road;
calculating the moving speed of the users in a certain past time through the data acquisition time interval and the user moving position change, screening that the moving speed of the users is lower than 30km/h, and more than 4 users are in the same position, and the users travel for more than one kilometer in the same direction at the same speed, and judging that the suspected agricultural vehicle illegal surcharge carries people;
and outputting the position information of the suspected persons carrying the illegal and excessive persons of the agricultural vehicle to a traffic management department in real time according to the mobile phone signaling information.
2. An agricultural vehicle illegal officer manned identification method according to claim 1, characterized in that: the screening of the longitude and latitude information of the base station covering the country, province and county roads of the rural area and the township does not contain urban roads, and uses the geohash algorithm to perform gridding processing on the coverage area of the base station, and the method comprises the following steps:
road codes, longitude and latitude information and checkpoint position information of national, provincial and county roads covering rural and rural towns are obtained, road data are cleaned, and grouping and carding are carried out according to the county and rural towns where the roads are located, so that administrative divisions, road codes, road properties, checkpoint positions and longitude and latitude information of road attributions are formed.
3. An agricultural vehicle illegal officer manned identification method according to claim 2, characterized in that:
the country, province and county road codes and longitude and latitude information which are screened and passed through rural areas and villages and towns comprise,
and gridding the coverage area of the base station according to the name of the base station and the longitude and latitude position information of the base station, dividing the coverage area into grids with different specifications according to the type, the coverage area and the position of the base station, and matching the covered road section with the gate by using the longitude and latitude of the grids.
4. An agricultural vehicle illegal excess person carrying identification method according to claim 3, characterized in that: according to the base station grid data and the road longitude and latitude data, the road data is segmented and corresponds to the base station grid, namely the road section covered by the base station comprises the following steps:
according to the data after the base station grids and the longitude and latitude of the roads are matched, the roads are processed in a segmented mode, each section of road and a gate are mapped into grids covered by a corresponding base station, the road sections are coded and sequenced, and a corresponding relation table of base station information, grid codes, road section codes and gate numbers is established.
5. An agricultural vehicle illegal officer manned identification method according to claim 1, characterized in that: the screening of the vehicle passing data of the agricultural vehicle passing through the bayonet according to the bayonet vehicle passing data comprises the following steps of,
and extracting real-time vehicle passing data, and screening the vehicle passing data of the gates through which the agricultural vehicles pass to obtain vehicle passing time, license plate numbers, license plate types, vehicle passing directions, road codes, gate numbers and vehicle passing speeds.
6. An agricultural vehicle illegal officer manned identification method according to claim 1, characterized in that:
calculating the moving speed of the users in a certain time in the past through the data acquisition time interval and the user moving position change, and the method comprises the following steps:
4.1, through the MR data of the mobile phone, the identification and the received level value of the cell where the mobile phone is located and the identification and the level value of the adjacent cell in a certain past time period can be obtained;
4.2, grouping according to the mobile phone number identification, grouping and sequencing MR signaling data, and obtaining information lists of cells, longitude and latitude information, level value information, acquisition time and the like which are passed by each mobile phone user according to the time sequence;
4.3, according to the longitude and latitude information in the mobile phone MR information list, matching the position information of the road, according to the start time and the end time of information acquisition, calculating the corresponding time difference T, the start position and the end position of the user moving on the road, calculating the moving distance L on the road, and finally obtaining the moving speed S of the user: and S is L/T.
7. An agricultural vehicle illegal excess person carrying identification method according to claim 6, characterized in that: step 4.3 is followed by the following steps:
4.4, the method for confirming the same-row users comprises the steps of matching road grid data through longitude and latitude data of a base station MR signaling switched by a mobile phone of a user to obtain passing road grid information, extracting road grid data which are passed by the user in a period of time before different users pass through the same gate, sequencing the road grid data according to the passing time, calculating the similarity of passing road tracks by using an improved LCSS algorithm, and regarding the users with the similarity of the passing road grid tracks being more than or equal to 70% in the same period of time as the same-row users.
8. An agricultural vehicle illegal excess person carrying identification method according to claim 7, characterized in that: the steps of calculating the similarity of the moving tracks by the improved LCSS algorithm are as follows:
screening MR signaling data of mobile phone users passing through a road at the same time in base station signaling according to the passing time of agricultural vehicles passing through a gate and road codes in the passing data, and extracting the information of the base stations and the time information of the users passing through the road in a period of time in the past;
secondly, sequencing the information of the passed base stations according to the sequence of the passed time, matching the information with the road grid information to obtain the sequence information corresponding to the road grid information and the passed time, calculating the average moving speed of the user in the time period according to the moving distance and the time of the user, and rejecting the users with the average moving speed of more than 30km/h and less than 10 km/h;
obtaining a user moving track sequence meeting the conditions:
Tt＝{(L1,t1),(L2,t2),…,(Li,ti),(Ln,tn)}
wherein (L)i,ti) Indicating that the user moves to a road location L corresponding to a base stationiCorresponding time ti；
Fourthly, the calculation formula of the time similarity coefficient is as follows:
where Δ T is the precision, Ti(u) shows that the mobile phone user u arrives at the corresponding road position L of a certain base station at a certain time precisioniTime of (u), Tj(v) Indicating that the mobile phone user reaches the corresponding road position L of a certain base station within a certain time precisionjTime of (n), δ (L)i(u),Lj(v) Is a coincidence formula, the value is 1 when the road positions of the two users coincide, otherwise it is 0;
combining time factors, the improved LCSS sequence similarity algorithm is as follows:
wherein the first part of the formula represents the longest common subsequence of road information that users u and v have traveled for a certain period of time, and the second part represents the proportion of two users at the same position in the vicinity time at each time accuracy.
9. An agricultural vehicle illegal and excessive person carrying identification method is characterized by comprising the following steps:
screening base station information of national, provincial and county roads covering rural areas and towns, and carrying out meshing processing on the coverage range of the base station by using a geohash algorithm;
screening country, province and county road codes and longitude and latitude information passing through rural areas and towns;
segmenting the road data according to the base station grid data and the road longitude and latitude data, and making correspondence with the base station grid, namely the road section covered by the base station;
extracting signaling data of mobile phone users residing under a base station, screening users moving on the road, and calculating the moving speed and position information of the users;
screening users with the moving speed lower than 30km/h according to the user position information and the moving speed, and preliminarily identifying the users with the number of people in the same row exceeding four persons as suspected riding agricultural vehicle users if the users have the same position in the same row, the same speed in the same row and the same distance in the same row larger than 1 km;
screening the agricultural vehicle passing data passing through the gate according to the gate passing data, wherein the agricultural vehicle passing data comprises vehicle number plate information, passing time and gate point position numbers;
the time and the position of the agricultural vehicle passing the gate are the same as the time and the position of the suspected agricultural vehicle user passing the gate, and the suspected agricultural vehicle illegal superman carrying is judged;
and outputting the position information of the suspected persons carrying the illegal and excessive persons of the agricultural vehicle to a traffic management department in real time according to the mobile phone signaling information.
10. A computer-readable storage medium, storing a computer program which, when executed by a processor, causes the processor to carry out the steps of the method according to any one of claims 1 to 9.
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