CN117455209A - Intelligent traffic police management service system and method based on geographic position - Google Patents
Intelligent traffic police management service system and method based on geographic position Download PDFInfo
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Abstract
The invention relates to the technical field of intelligent traffic police management service systems, and particularly discloses an intelligent traffic police management service system and method based on geographic positions, wherein the method comprises the following steps: acquiring an alarm receiving task, wherein the alarm receiving task carries accident information; distributing the alarm receiving task to a target alarm receiving unit in a corresponding district according to the position information of the accident place and the position information of the alarm receiving unit information, comparing the alarm accident type with an accident level classification table to obtain alarm accident level, and judging according to the predicted accident type and the accident level classification table to obtain predicted accident level; generating actual demand police force according to the alarm accident level and the predicted accident level; generating a target executive personnel list according to the actual demand police strength and police strength resource information of the target receiving unit; the system comprises an alarm receiving task acquisition module, an alarm receiving unit allocation module, an alarm grade acquisition module, a prediction grade acquisition module and a demand police strength generation module.
Description
Technical Field
The invention relates to the technical field of intelligent traffic police management service systems, in particular to an intelligent traffic police management service system and method based on geographic positions.
Background
The traditional accident tracking analysis processing plate in the intelligent traffic police field is mainly characterized in that a traffic police team is responsible for tracking processing, the traffic police team belongs to scarce resources in the whole organization system, and only one traffic police team exists in a administrative area of a medium city or in a ground level city; the accident tracking processing belongs to the working category of accident departments in the traffic police team, and the work of the accident departments has the characteristics of no break in the whole year, 24-hour standby and the service of the whole administrative area; when accidents occur simultaneously in the south and north of a administrative district, an accident waiting situation occurs, and in a serious case, a waiting situation occurs for several hours. Compared with the traffic police team, the distribution house has the advantages of being large in number, familiar in local geographic environment and small in service radius in the whole organization system.
At present, the multi-place public security organization carries out a scheme of 'combine together' which is to combine a team in a traffic police with a base layer dispatch place into one under the condition of keeping the existing institutions, the establishment, the personnel and the responsibilities unchanged, realize the integration of the cross-police types, the novel mode of the integrated service of the team creation, integrate the police resources of the team and push the police to sink. Under the implementation of 'intersection into one', the dispatch office also has the capability and the right of processing the cases in the intersection field. At present, when the traffic management field is on case, in the police resource management scheduling process, the operator receives the alarm information generally, and the police resource is scheduled according to the alarm information, but the alarm personnel is easily affected by emotion to cause the instability of emotion, so that the alarm information has errors, the police resource scheduled by the police dispatcher according to the alarm information is not matched with the accident level of the alarm case, the police resource scheduling scheme of the alarm case is unreasonable, and the waste of the police resource can be caused.
Disclosure of Invention
The invention aims to provide an intelligent traffic police management service system and method based on geographic positions, which are used for solving the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a geographic position-based intelligent traffic police management service method comprises the following steps:
acquiring an alarm receiving task based on alarm information provided by an alarm user side and position inquiry permission granted by the alarm user side, wherein the alarm receiving task carries accident information, the accident information comprises accident vehicle information, alarm accident type, position information of an accident place and accident occurrence time, and the accident vehicle information comprises license plate numbers, owner information and driver information;
acquiring alarm receiving unit information, and distributing alarm receiving tasks to target alarm receiving units in corresponding jurisdictions according to the position information of accident places in the accident information and the position information of the alarm receiving unit information, wherein the alarm receiving unit information comprises the position information of each alarm receiving unit and police resource information in each alarm receiving unit;
comparing the alarm accident type in the accident information with an accident level classification table to obtain alarm accident levels, wherein the accident levels in the accident level classification table are mapped into pairs;
Acquiring monitoring data of an accident place according to the accident information, judging to obtain a predicted accident type according to the monitoring data and an accident type prediction model, and judging to obtain a predicted accident level according to the predicted accident type and an accident level classification table;
generating actual demand police force according to the alarm accident level and the predicted accident level;
generating a target executive personnel list according to the actual demand police strength and the police strength resource information of the target receiving unit, and sending an alarm prompt message to the corresponding target executive personnel, wherein the alarm prompt message carries the alarm receiving task, the guiding route information and the target executive personnel list.
As a further technical scheme of the invention, the police resource information comprises on-duty police personnel position information and on-duty police personnel state information, and the state information comprises an alarm receiving state, an alarm not-out state and a patrol state.
As a further technical solution of the present invention, the step of obtaining monitoring data of an accident place according to the accident information and determining a predicted accident type according to the monitoring data and an accident type prediction model includes:
acquiring a monitoring camera within a preset distance range of the accident place according to the position information of the accident place in the accident information, and acquiring monitoring data of the monitoring camera;
Acquiring an accident vehicle image according to the license plate number in the accident vehicle information, and intercepting a picture containing the accident vehicle image in the monitoring data to obtain a target image set;
judging to obtain a predicted accident type according to a target image set and an accident type prediction model, wherein the accident type prediction model is obtained by training a neural network model through sample data, the sample data comprises images, the output result of the accident type prediction model is the predicted accident type, and the predicted accident type is the analysis and prediction of the accident type in the images;
and comparing the predicted accident type with an accident level classification table, and matching to obtain the predicted accident level.
As a further technical solution of the present invention, the step of generating actual demand police force according to the alarm accident level and the predicted accident level includes:
respectively comparing and matching the alarm accident level, the predicted accident level and an alarm force distribution table to obtain alarm demand alarm force and predicted demand alarm force, wherein each accident level in the alarm force distribution table is respectively provided with corresponding demand alarm force;
when the predicted accident level is the same as the alarm accident level, judging that the number of alarm demands and the number of auxiliary police forces are the main police forces and the number of auxiliary police forces is 0;
When the predicted accident level is different from the alarm accident level, determining the smaller one of the alarm demand police force and the predicted demand police force as the main police force, and the absolute value of the difference between the alarm demand police force and the predicted demand police force as the auxiliary police force, wherein the main police force and the auxiliary police force form the actual demand police force;
the main police force is called from the police officer in the on-duty state of the target police receiving unit, and the auxiliary police force is called from the police officer in the patrol state of the target police receiving unit.
As a further technical solution of the present invention, the step of generating a target executive personnel list according to the actual demand police strength and the police strength resource information of the target receiving unit, and sending the warning prompt information to the corresponding target executive personnel includes:
the method comprises the steps that a main police executive personnel with the corresponding quantity of main police forces are called from on-duty police officers in a non-police state of the target police receiving unit, an auxiliary police executive personnel with the corresponding quantity of auxiliary police forces are called from on-duty police officers in a patrol state of the target police receiving unit, and the main police executive personnel and the auxiliary police executive personnel form a target executive personnel list;
respectively generating guiding route information of each target executive according to the position information of each target executive and the position information of the accident place;
Sending the alarm prompt information to user terminals corresponding to all target executors;
receiving receipt information of the alarm prompt information sent by a user terminal corresponding to the target executive personnel;
and judging whether the alarm prompt information is executed or not according to the receipt information, and completing the allocation of the alarm receiving task when the alarm prompt information is executed.
As a further technical solution of the present invention, the step of retrieving the number of the auxiliary police executive personnel corresponding to the auxiliary police force from the on-duty police officers in the patrol state of the target receiving unit includes:
obtaining the distance between each on-duty police officer in the patrol state and the accident place in the target police receiving unit according to the position information of the on-duty police officer in the patrol state in the target police receiving unit and the position information of the accident place;
performing ascending sorting on the police officers on duty in the patrol state according to the distance;
and selecting a corresponding number of police officers on duty from the police officers on duty in the ordered patrol state as police executive personnel.
It is another object of an embodiment of the present invention to provide a geographic location-based intelligent traffic police management service system, the system comprising:
The alarm receiving task acquisition module is used for acquiring an alarm receiving task based on alarm information provided by an alarm user side and position inquiry permission granted by the alarm user side, wherein the alarm receiving task carries accident information, the accident information comprises accident vehicle information, alarm accident types, position information of accident places and accident occurrence time, and the accident vehicle information comprises license plate numbers, vehicle owner information and driver information;
the alarm receiving unit allocation module is used for acquiring alarm receiving unit information, allocating an alarm receiving task to a target alarm receiving unit in a corresponding district according to the position information of an accident place in the accident information and the position information of the alarm receiving unit information, wherein the alarm receiving unit information comprises the position information of each alarm receiving unit and police resource information in each alarm receiving unit;
the alarm grade obtaining module is used for comparing alarm accident types in the accident information with an accident grade classification table to obtain alarm accident grades, wherein the accident grades and the accident types in the accident grade classification table are mapped into pairs;
the prediction grade obtaining module is used for obtaining monitoring data of the accident place according to the accident information, judging and obtaining a prediction accident type according to the monitoring data and an accident type prediction model, and judging and obtaining a prediction accident grade according to the prediction accident type and an accident grade classification table;
The demand police strength generation module is used for generating actual demand police strength according to the alarm accident level and the predicted accident level;
and the executive personnel allocation module is used for generating a target executive personnel list according to the police strength of the actual demand and the police strength resource information of the target receiving unit, sending an alarm prompt message to the corresponding target executive personnel, wherein the alarm prompt message carries the receiving task, the guiding route information and the target executive personnel list.
As a further technical solution of the present invention, the prediction grade obtaining module includes:
the monitoring data acquisition unit is used for acquiring the monitoring cameras within a preset distance range of the accident place according to the position information of the accident place in the accident information and acquiring the monitoring data of the monitoring cameras;
the target image screenshot unit is used for acquiring an accident vehicle image according to the license plate number in the accident vehicle information, and intercepting a picture containing the accident vehicle image in the monitoring data to obtain a target image set;
the accident type prediction unit is used for judging and obtaining a predicted accident type according to the target image set and the accident type prediction model, wherein the accident type prediction model is obtained by training a neural network model through sample data, the sample data comprises images, the output result of the accident type prediction model is the predicted accident type, and the predicted accident type is the analysis and prediction of the accident type in the images;
And the accident level matching unit is used for comparing the predicted accident type with the accident level classification table, and matching to obtain the predicted accident level.
As a further aspect of the present invention, the demand force generation module includes:
the demand police force matching unit is used for respectively comparing and matching the alarm accident level and the predicted accident level with a police force distribution table to obtain alarm demand police force and predicted demand police force, wherein each accident level in the police force distribution table is respectively provided with corresponding demand police force;
the first police strength distribution unit is used for judging that the number of the alarm demand police strength is the main police strength and the number of the auxiliary police strength is 0 when the predicted accident level is the same as the alarm accident level;
a second warning power distribution unit configured to determine, when the predicted accident level differs from the warning accident level, that one of the warning demand warning power and the predicted demand warning power, which has a smaller value, is a primary warning power, that the absolute value of the difference between the warning demand warning power and the predicted demand warning power is a secondary warning power, the primary warning power and the secondary warning power constituting an actual demand warning power;
the main police force is called from the police officer in the on-duty state of the target police receiving unit, and the auxiliary police force is called from the police officer in the patrol state of the target police receiving unit.
Compared with the prior art, the invention has the beneficial effects that: the invention provides an intelligent traffic police management service system and method based on geographic position, when receiving an alarm task, on one hand, alarm accident grade is obtained through the alarm information of an alarm user, and on the other hand, predicted accident grade is further obtained through the acquisition of monitoring data of accident places and predicted accident types.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following description will briefly introduce the drawings that are needed in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
FIG. 1 is a flow chart diagram of a method of intelligent traffic police management service based on geographic location.
FIG. 2 is a block flow diagram of the steps for predicting the type of accident in a geographic location based intelligent traffic police service method.
FIG. 3 is a block flow diagram of the steps for analyzing and obtaining actual demand police force in a geographic location based intelligent traffic police management service method.
FIG. 4 is a block flow diagram of the steps for determining a target executive in a geographic location based intelligent traffic police service method.
FIG. 5 is a block diagram of a geographic location based intelligent traffic police management service system.
FIG. 6 is a block diagram of the predictive level acquisition module in the intelligent traffic police management service system based on geographic location.
FIG. 7 is a block diagram illustrating the structure of a demand force generation module in a geographic location based intelligent traffic police management service system.
Detailed Description
In order to make the technical problems, technical schemes and beneficial effects to be solved more clear, the invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 1, the embodiment of the invention provides a geographic location-based intelligent traffic police management service method, which comprises the following steps:
step S100, based on alarm information provided by an alarm user side and position inquiry authority granted by the alarm user side, acquiring an alarm receiving task, wherein the alarm receiving task carries accident information, the accident information comprises accident vehicle information, alarm accident type, position information of an accident place and accident occurrence time, and the accident vehicle information comprises license plate numbers, owner information and driver information;
Step S200, acquiring alarm receiving unit information, distributing alarm receiving tasks to target alarm receiving units in corresponding jurisdictions according to the position information of accident places in the accident information and the position information of the alarm receiving unit information, wherein the position information of the accident places is in the jurisdiction range of the target alarm receiving units and is matched, the alarm receiving unit information comprises the position information of each alarm receiving unit and police resource information in each alarm receiving unit, the police resource information comprises on-duty police personnel position information and on-duty police personnel state information, and the state information comprises an alarm receiving state, an alarm non-output state and a patrol state;
step S300, comparing alarm accident types in the accident information with an accident level classification table to obtain alarm accident levels, wherein the accident levels in the accident level classification table are mapped to pairs, the accident levels are divided into multiple levels, and each level of the accident levels corresponds to different accident types respectively;
step S400, obtaining monitoring data of an accident place according to the accident information, judging to obtain a predicted accident type according to the monitoring data and an accident type prediction model, and judging to obtain a predicted accident level according to the predicted accident type and an accident level classification table;
And S500, generating actual demand police force according to the alarm accident level and the predicted accident level, wherein the main police force and the auxiliary police force form the actual demand police force.
Step S600, a target executive personnel list is generated according to the actual demand police strength and the police strength resource information of the target receiving unit, and the warning prompt information is sent to the corresponding target executive personnel, wherein the warning prompt information carries the receiving task, the guiding route information and the target executive personnel list.
In the embodiment of the invention, when the management service system of the middle swing center receives the alarm receiving task, the position information of the accident place can be automatically acquired based on authorization, on one hand, the alarm accident grade is acquired through the alarm information acquisition of the alarm user, and on the other hand, the predicted accident grade is further acquired through the acquisition of the monitoring data of the accident place and the predicted accident type.
As shown in fig. 2, as a preferred embodiment of the present invention, the step of obtaining monitoring data of an accident site according to the accident information, and determining a predicted accident type according to the monitoring data and an accident type prediction model includes:
step S401, acquiring a monitoring camera within a preset distance range of an accident place according to the position information of the accident place in the accident information, and acquiring monitoring data of the monitoring camera;
step S402, acquiring an accident vehicle image according to a license plate number in the accident vehicle information, and intercepting a picture containing the accident vehicle image in the monitoring data to obtain a target image set;
step S403, judging to obtain a predicted accident type according to a target image set and an accident type prediction model, wherein the accident type prediction model is obtained by training a neural network model through sample data, the sample data comprises images, the output result of the accident type prediction model is a predicted accident type, the predicted accident type is the analysis and prediction of the accident type in the images, and when the accuracy of the output predicted accident type reaches a preset threshold value, training is completed to obtain a trained accident type prediction model;
And step S404, comparing the predicted accident type with an accident level classification table, and matching to obtain a predicted accident level.
According to the embodiment of the invention, the image containing the accident vehicle image is intercepted by acquiring the monitoring data of the monitoring cameras near the accident place to obtain the target image set, and the accident type can be analyzed and predicted by inputting the target image set into the accident type prediction model in the embodiment of the invention, so that the control of the accident type by monitoring is realized, the insufficient distribution of rescue police force caused by single alarm information is avoided, and the waste of police force resources is also avoided to a certain extent.
As shown in fig. 3, as a preferred embodiment of the present invention, the step of generating actual demand police force according to the alarm accident level and the predicted accident level includes:
step S501, respectively comparing and matching the alarm accident level and the predicted accident level with an alarm power distribution table to obtain alarm demand alarm power and predicted demand alarm power, wherein each accident level in the alarm power distribution table is respectively provided with corresponding demand alarm power;
step S502, when the predicted accident level is the same as the alarm accident level, judging that the quantity of alarm demand police strength is main police strength and the quantity of auxiliary police strength is 0;
Step S503, when the predicted accident level is different from the alarm accident level, determining the smaller one of the alarm demand force and the predicted demand force as the main force, the absolute value of the difference between the alarm demand force and the predicted demand force as the auxiliary force, and the main force and the auxiliary force forming the actual demand force;
specifically, when the predicted accident level is smaller than the alarm accident level and the number of predicted demand police force is smaller than the number of alarm demand police force, the number of predicted demand police force is set as the primary police force and the part of the alarm demand police force which is more than the predicted demand police force is set as the secondary police force;
when the predicted accident level is greater than the alarm accident level, the predicted required police strength is greater than the alarm required police strength, setting the alarm required police strength as the main police strength, and the part of the predicted required police strength which is greater than the alarm required police strength is the auxiliary police strength;
the main police force is called from the police officer in the on-duty state of the target police receiving unit, and the auxiliary police force is called from the police officer in the patrol state of the target police receiving unit.
In the embodiment of the invention, when the predicted accident level is different from the alarm accident level, in order to enable the alarm case to be fully processed, the method adopts the fact that the party with smaller values in the alarm demand police force and the predicted demand police force is judged as the main police force, the absolute value of the difference between the values of the alarm demand police force and the predicted demand police force is the auxiliary police force, the main police force and the auxiliary police force form the actual demand police force, the auxiliary police force is extracted from the on-duty police officers in the patrol state of the target receiving unit, when the auxiliary police force reaches the accident place, the required police force quantity is judged according to the actual situation, when the police force is excessively sent out, the excessive auxiliary police force is not in the execution of the alarm case, the patrol task is continuously carried out, and the state is updated in the intelligent traffic management service system, so that the warning force waste is avoided.
As shown in fig. 4, as a preferred embodiment of the present invention, the step of generating a target executive personnel list according to the actual demand police strength and the police strength resource information of the target receiving unit, and sending the warning prompt information to the corresponding target executive personnel includes:
step S601, calling a main police executive personnel corresponding to the main police force from the on-duty police officers in the non-police state of the target police receiving unit, and calling an auxiliary police executive personnel corresponding to the auxiliary police force from the on-duty police officers in the patrol state of the target police receiving unit, wherein the main police executive personnel and the auxiliary police executive personnel form a target executive personnel list;
the main police executive personnel can be randomly called from the police officers in the state of never going out of police or according to the police dispatch table;
the police executive personnel call in the following way: obtaining the distance between each on-duty police officer in the patrol state and the accident place in the target police receiving unit according to the position information of the on-duty police officer in the patrol state in the target police receiving unit and the position information of the accident place; performing ascending sorting on the police officers on duty in the patrol state according to the distance; and selecting a corresponding number of police officers on duty from the police officers on duty in the ordered patrol state as police executive personnel.
Step S602, respectively generating guiding route information of each target executive according to the position information of each target executive and the position information of the accident place;
step S603, sending alarm prompt information to user terminals corresponding to all target executives;
step S604, receiving receipt information of the alarm prompt information sent by a user terminal corresponding to the target executive personnel;
step S605, determining whether the alarm prompt information is executed according to the receipt information, when the alarm prompt information is executed, completing the allocation of the alarm receiving task, and updating the state and position information of each target executor in real time in the intelligent traffic police management service system.
As shown in fig. 5, another object of an embodiment of the present invention is to provide a geographic location-based intelligent traffic police management service system, which includes:
The alarm receiving task obtaining module 100 is configured to obtain an alarm receiving task based on alarm information provided by an alarm user side and position query permission granted by the alarm user side, where the alarm receiving task carries accident information, the accident information includes accident vehicle information, alarm accident type, position information of an accident place and accident occurrence time, and the accident vehicle information includes license plate number, vehicle owner information and driver information;
the alarm receiving unit allocation module 200 is configured to obtain alarm receiving unit information, and allocate an alarm receiving task to a target alarm receiving unit in a corresponding district according to position information of an accident place in the accident information and position information of the alarm receiving unit information, where the alarm receiving unit information includes position information of each alarm receiving unit and police resource information in each alarm receiving unit;
the alarm level obtaining module 300 is configured to compare the alarm accident type and the accident level classification table in the accident information to obtain alarm accident levels, where the accident levels in the accident level classification table are mapped to pairs, the accident levels are classified into multiple levels, and each level of the accident levels corresponds to a different accident type;
The predicted level obtaining module 400 is configured to obtain monitoring data of an accident place according to the accident information, determine to obtain a predicted accident type according to the monitoring data and an accident type prediction model, and determine to obtain a predicted accident level according to the predicted accident type and an accident level classification table;
a demand police force generation module 500 for generating actual demand police force according to the alarm accident level and the predicted accident level;
and the executive personnel allocation module 600 is configured to generate a target executive personnel list according to the actual demand police strength and the police strength resource information of the target receiving unit, and send an alarm prompt message to a corresponding target executive personnel, where the alarm prompt message carries the receiving task, the guiding route information and the target executive personnel list.
As shown in fig. 6, as a preferred embodiment of the present invention, the prediction grade obtaining module 400 includes:
a monitoring data obtaining unit 401, configured to obtain a monitoring camera within a preset distance range of an accident place according to position information of the accident place in the accident information, and obtain monitoring data of the monitoring camera;
a target image screenshot unit 402, configured to obtain an accident vehicle image according to a license plate number in the accident vehicle information, and intercept a picture including the accident vehicle image in the monitoring data to obtain a target image set;
The accident type prediction unit 403 is configured to determine a predicted accident type according to the target image set and an accident type prediction model, where the accident type prediction model is obtained by training a neural network model through sample data, the sample data includes an image, and a result output by the accident type prediction model is a predicted accident type, and the predicted accident type is an analysis prediction of an accident type in the image;
and the accident level matching unit 404 is configured to compare the predicted accident type with the accident level classification table, and obtain a predicted accident level by matching.
As shown in fig. 7, as a preferred embodiment of the present invention, the demand force generation module 500 includes:
a demand police force matching unit 501, configured to respectively compare and match the alarm accident level and the predicted accident level with a police force distribution table, so as to obtain alarm demand police force and predicted demand police force, where each accident level in the police force distribution table has a corresponding demand police force;
a first police strength distribution unit 502, configured to determine that the number of alarm required police strength is a main police strength and the number of auxiliary police strength is 0 when the predicted accident level is the same as the alarm accident level;
A second alertness allocation unit 503 configured to determine, when the predicted accident level is different from the alarm accident level, that one of the alarm demand alertness and the predicted demand alertness, which has a smaller value, is a primary alertness, and that the absolute value of the difference between the values of the alarm demand alertness and the predicted demand alertness is a secondary alertness, the primary and secondary alertness constituting an actual demand alertness;
the main police force is called from the police officer in the on-duty state of the target police receiving unit, and the auxiliary police force is called from the police officer in the patrol state of the target police receiving unit.
The functions which can be realized by the intelligent traffic police management service method based on the geographic position are all completed by computer equipment, the computer equipment comprises one or more processors and one or more memories, at least one program code is stored in the one or more memories, and the program code is loaded and executed by the one or more processors to realize the functions of the intelligent traffic police management service method based on the geographic position.
The processor takes out instructions from the memory one by one, analyzes the instructions, then completes corresponding operation according to the instruction requirement, generates a series of control commands, enables all parts of the computer to automatically, continuously and cooperatively act to form an organic whole, realizes the input of programs, the input of data, the operation and the output of results, and the arithmetic operation or the logic operation generated in the process is completed by the arithmetic unit; the Memory comprises a Read-Only Memory (ROM) for storing a computer program, and a protection device is arranged outside the Memory.
For example, a computer program may be split into one or more modules, one or more modules stored in memory and executed by a processor to perform the present invention. One or more of the modules may be a series of computer program instruction segments capable of performing specific functions for describing the execution of the computer program in the terminal device.
It will be appreciated by those skilled in the art that the foregoing description of the service device is merely an example and is not meant to be limiting, and may include more or fewer components than the foregoing description, or may combine certain components, or different components, such as may include input-output devices, network access devices, buses, etc.
The processor may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is the control center of the terminal device described above, and which connects the various parts of the entire user terminal using various interfaces and lines.
The memory may be used for storing computer programs and/or modules, and the processor may implement various functions of the terminal device by running or executing the computer programs and/or modules stored in the memory and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function (such as an information acquisition template display function, a product information release function, etc.), and the like; the storage data area may store data created according to the use of the berth status display system (e.g., product information acquisition templates corresponding to different product types, product information required to be released by different product providers, etc.), and so on. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
The modules/units integrated in the terminal device may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as separate products. Based on this understanding, the present invention may implement all or part of the modules/units in the system of the above-described embodiments, or may be implemented by instructing the relevant hardware by a computer program, which may be stored in a computer-readable storage medium, and which, when executed by a processor, may implement the functions of the respective system embodiments described above. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, executable files or in some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (9)
1. The intelligent traffic police management service method based on the geographic position is characterized by comprising the following steps of:
acquiring an alarm receiving task based on alarm information provided by an alarm user side and position inquiry permission granted by the alarm user side, wherein the alarm receiving task carries accident information, the accident information comprises accident vehicle information, alarm accident type, position information of an accident place and accident occurrence time, and the accident vehicle information comprises license plate numbers, owner information and driver information;
Acquiring alarm receiving unit information, and distributing alarm receiving tasks to target alarm receiving units in corresponding jurisdictions according to the position information of accident places in the accident information and the position information of the alarm receiving unit information, wherein the alarm receiving unit information comprises the position information of each alarm receiving unit and police resource information in each alarm receiving unit;
comparing the alarm accident type in the accident information with an accident level classification table to obtain alarm accident levels, wherein the accident levels in the accident level classification table are mapped into pairs;
acquiring monitoring data of an accident place according to the accident information, judging to obtain a predicted accident type according to the monitoring data and an accident type prediction model, and judging to obtain a predicted accident level according to the predicted accident type and an accident level classification table;
generating actual demand police force according to the alarm accident level and the predicted accident level;
generating a target executive personnel list according to the actual demand police strength and the police strength resource information of the target receiving unit, and sending an alarm prompt message to the corresponding target executive personnel, wherein the alarm prompt message carries the alarm receiving task, the guiding route information and the target executive personnel list.
2. The geographical location based intelligent traffic police management service method of claim 1, wherein the police resource information comprises on-duty police personnel location information and on-duty police personnel status information, the status information comprising a police receiving status, a no police status and a patrol status.
3. The intelligent traffic police management service method according to claim 2, wherein the step of obtaining monitoring data of an accident place according to the accident information and determining a predicted accident type according to the monitoring data and an accident type prediction model comprises:
acquiring a monitoring camera within a preset distance range of the accident place according to the position information of the accident place in the accident information, and acquiring monitoring data of the monitoring camera;
acquiring an accident vehicle image according to the license plate number in the accident vehicle information, and intercepting a picture containing the accident vehicle image in the monitoring data to obtain a target image set;
judging to obtain a predicted accident type according to a target image set and an accident type prediction model, wherein the accident type prediction model is obtained by training a neural network model through sample data, the sample data comprises images, the output result of the accident type prediction model is the predicted accident type, and the predicted accident type is the analysis and prediction of the accident type in the images;
And comparing the predicted accident type with an accident level classification table, and matching to obtain the predicted accident level.
4. A geographical location based intelligent traffic police service method according to claim 3 wherein said step of generating actual demand police force based on said alarm accident level and predicted accident level comprises:
respectively comparing and matching the alarm accident level, the predicted accident level and an alarm force distribution table to obtain alarm demand alarm force and predicted demand alarm force, wherein each accident level in the alarm force distribution table is respectively provided with corresponding demand alarm force;
when the predicted accident level is the same as the alarm accident level, judging that the number of alarm demands and the number of auxiliary police forces are the main police forces and the number of auxiliary police forces is 0;
when the predicted accident level is different from the alarm accident level, determining the smaller one of the alarm demand police force and the predicted demand police force as the main police force, and the absolute value of the difference between the alarm demand police force and the predicted demand police force as the auxiliary police force, wherein the main police force and the auxiliary police force form the actual demand police force;
the main police force is called from the police officer in the on-duty state of the target police receiving unit, and the auxiliary police force is called from the police officer in the patrol state of the target police receiving unit.
5. The method for intelligent traffic police management service according to claim 4, wherein the step of generating a target executive personnel list according to the actual demand police strength and police strength resource information of the target receiving unit and sending the warning prompt information to the corresponding target executive personnel comprises:
the method comprises the steps that a main police executive personnel with the corresponding quantity of main police forces are called from on-duty police officers in a non-police state of the target police receiving unit, an auxiliary police executive personnel with the corresponding quantity of auxiliary police forces are called from on-duty police officers in a patrol state of the target police receiving unit, and the main police executive personnel and the auxiliary police executive personnel form a target executive personnel list;
respectively generating guiding route information of each target executive according to the position information of each target executive and the position information of the accident place;
sending the alarm prompt information to user terminals corresponding to all target executors;
receiving receipt information of the alarm prompt information sent by a user terminal corresponding to the target executive personnel;
and judging whether the alarm prompt information is executed or not according to the receipt information, and completing the allocation of the alarm receiving task when the alarm prompt information is executed.
6. The intelligent traffic police management service method according to claim 5, wherein the step of calling a corresponding number of auxiliary police executive personnel from the on-duty police officers in the patrol state of the target receiving unit comprises:
obtaining the distance between each on-duty police officer in the patrol state and the accident place in the target police receiving unit according to the position information of the on-duty police officer in the patrol state in the target police receiving unit and the position information of the accident place;
performing ascending sorting on the police officers on duty in the patrol state according to the distance;
and selecting a corresponding number of police officers on duty from the police officers on duty in the ordered patrol state as police executive personnel.
7. An intelligent traffic police management service system based on geographic location, the system comprising:
the alarm receiving task acquisition module is used for acquiring an alarm receiving task based on alarm information provided by an alarm user side and position inquiry permission granted by the alarm user side, wherein the alarm receiving task carries accident information, the accident information comprises accident vehicle information, alarm accident types, position information of accident places and accident occurrence time, and the accident vehicle information comprises license plate numbers, vehicle owner information and driver information;
The alarm receiving unit allocation module is used for acquiring alarm receiving unit information, allocating an alarm receiving task to a target alarm receiving unit in a corresponding district according to the position information of an accident place in the accident information and the position information of the alarm receiving unit information, wherein the alarm receiving unit information comprises the position information of each alarm receiving unit and police resource information in each alarm receiving unit;
the alarm grade obtaining module is used for comparing alarm accident types in the accident information with an accident grade classification table to obtain alarm accident grades, wherein the accident grades and the accident types in the accident grade classification table are mapped into pairs;
the prediction grade obtaining module is used for obtaining monitoring data of the accident place according to the accident information, judging and obtaining a prediction accident type according to the monitoring data and an accident type prediction model, and judging and obtaining a prediction accident grade according to the prediction accident type and an accident grade classification table;
the demand police strength generation module is used for generating actual demand police strength according to the alarm accident level and the predicted accident level;
and the executive personnel allocation module is used for generating a target executive personnel list according to the police strength of the actual demand and the police strength resource information of the target receiving unit, sending an alarm prompt message to the corresponding target executive personnel, wherein the alarm prompt message carries the receiving task, the guiding route information and the target executive personnel list.
8. The intelligent traffic police management service system according to claim 7, wherein said predictive rank obtaining module comprises:
the monitoring data acquisition unit is used for acquiring the monitoring cameras within a preset distance range of the accident place according to the position information of the accident place in the accident information and acquiring the monitoring data of the monitoring cameras;
the target image screenshot unit is used for acquiring an accident vehicle image according to the license plate number in the accident vehicle information, and intercepting a picture containing the accident vehicle image in the monitoring data to obtain a target image set;
the accident type prediction unit is used for judging and obtaining a predicted accident type according to the target image set and the accident type prediction model, wherein the accident type prediction model is obtained by training a neural network model through sample data, the sample data comprises images, the output result of the accident type prediction model is the predicted accident type, and the predicted accident type is the analysis and prediction of the accident type in the images;
and the accident level matching unit is used for comparing the predicted accident type with the accident level classification table, and matching to obtain the predicted accident level.
9. The intelligent traffic police management service system according to claim 7, wherein said demand police force generation module comprises:
the demand police force matching unit is used for respectively comparing and matching the alarm accident level and the predicted accident level with a police force distribution table to obtain alarm demand police force and predicted demand police force, wherein each accident level in the police force distribution table is respectively provided with corresponding demand police force;
the first police strength distribution unit is used for judging that the number of the alarm demand police strength is the main police strength and the number of the auxiliary police strength is 0 when the predicted accident level is the same as the alarm accident level;
a second warning power distribution unit configured to determine, when the predicted accident level differs from the warning accident level, that one of the warning demand warning power and the predicted demand warning power, which has a smaller value, is a primary warning power, that the absolute value of the difference between the warning demand warning power and the predicted demand warning power is a secondary warning power, the primary warning power and the secondary warning power constituting an actual demand warning power;
the main police force is called from the police officer in the on-duty state of the target police receiving unit, and the auxiliary police force is called from the police officer in the patrol state of the target police receiving unit.
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