A control recommendation algorithm based on law enforcement forces around transportation

Abstract

The present invention relates to the field of deployment recommendation model algorithms, and discloses a deployment recommendation algorithm based on law enforcement forces around transportation. The key points of the technical solution include dividing the law enforcement area into multiple sub-areas, each sub-area is configured with a sub-area server, and conventional law enforcement strategies of each sub-area are deployed in each sub-area server. The sub-area server receives temporary scheduling requirements and performs scheduling within the sub-area. If the corresponding sub-area cannot meet the scheduling requirements, a regional scheduling requirement is generated and sent to a cloud server. The cloud server receives the regional scheduling requirement, and the cloud server is configured with a scheduling recommendation algorithm and generates a regional scheduling plan according to the regional scheduling requirement. The regional scheduling plan includes the number of scheduling personnel, task position adjustment of the scheduling personnel, and personnel information. The cloud server sends the regional scheduling plan to each sub-area server, and the sub-area server generates personnel scheduling tasks to the corresponding law enforcement personnel, and has the characteristics of high efficiency.

Description

Technical Field

[0001] The present invention relates to the field of control recommendation model algorithms, and more particularly to a control recommendation algorithm based on law enforcement forces around transportation. Background Art

[0002] The rapid development of information technology and mobile internet technology has entered a stage of comprehensive development. Demand for mobile internet platforms is increasing across all industries and departments, making the development of a multi-functional command and dispatch system particularly important. Transportation impacts the efficiency and safety of urban traffic, significantly impacting people's daily travel. Existing law enforcement deployment around transportation is typically manually controlled, with each jurisdiction operating independently. When cross-jurisdictional collaboration is required, manual dispatch requests are typically initiated to each jurisdiction. Each jurisdiction then receives the request and confirms the available personnel and timeframe. This process requires multiple levels of communication and confirmation, resulting in slow response times, low dispatch efficiency, and the potential for uneven distribution of personnel. Summary of the Invention

[0003] In view of the shortcomings of the existing technology, the purpose of the present invention is to provide a deployment recommendation algorithm based on law enforcement forces around transportation, which has the characteristics of fast response speed, high scheduling efficiency and easy balanced personnel deployment.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] A control recommendation algorithm based on law enforcement forces around transportation, including

[0006] The law enforcement area is divided into multiple sub-areas, each of which is equipped with a sub-area server, and the general law enforcement strategy of each sub-area is deployed in each sub-area server;

[0007] The sub-region server receives temporary scheduling requests and performs scheduling within the sub-region. If the corresponding sub-region cannot meet the scheduling needs, it generates a regional scheduling request and sends it to the cloud server;

[0008] The cloud server receives the regional scheduling demand, the cloud server is configured with a scheduling recommendation algorithm and generates a regional scheduling plan according to the regional scheduling demand, the regional scheduling plan including the number of scheduling personnel, the task position adjustment of the scheduling personnel, and personnel information;

[0009] The cloud server sends the regional dispatch plan to each sub-region server, and the sub-region server generates personnel dispatch tasks to the corresponding law enforcement personnel;

[0010] The sub-regional server makes corresponding adjustments to the regular law enforcement algorithm to adapt to the changes in law enforcement personnel.

[0011] In the present invention, preferably, the scheduling recommendation algorithm is specifically:

[0012] Q=αD+βT+γC,

[0013] Among them, Q represents the personnel recommendation score, D represents the distance between the personnel's current task location and the temporary scheduling location, T represents the personnel's continuous working time, and C represents the number of times the personnel has completed tasks with similar attributes in the past. The recommendation score Q is negatively correlated with the distance D between the personnel's current task location and the temporary scheduling location, negatively correlated with the personnel's continuous working time T, and positively correlated with the number of times the personnel has completed tasks with similar attributes in the past.

[0014] In the present invention, preferably, the cloud server is configured with an event sequencing strategy. When multiple regional scheduling requests are received within the law enforcement area, the event sequencing strategy is executed. The event sequencing strategy specifically includes:

[0015] Obtain the urgency of the event, which is pre-specified and manually selected based on the matching situation, obtain the scheduling task type, and obtain the estimated task duration.

[0016] A ranking calculation is performed based on the urgency of the event, the type of scheduling task, and the estimated task duration to obtain the event scheduling priority, and a scheduling personnel is recommended for each scheduling requirement based on the event scheduling priority ranking.

[0017] In the present invention, preferably, each law enforcement officer is equipped with a mobile law enforcement terminal, and the mobile law enforcement terminal communicates with the corresponding sub-area server. Each of the mobile law enforcement terminals is configured with law enforcement officer information, and the law enforcement officer information includes basic personnel information. The mobile law enforcement terminal is configured with a personnel positioning module to obtain the current task location of the law enforcement officer. The mobile law enforcement terminal receives and outputs the personnel scheduling task from the sub-area server, and the mobile law enforcement terminal records the task attributes and number of the corresponding personnel.

[0018] In the present invention, preferably, the sub-region server is also connected to a number of vehicle terminals, which are installed on law enforcement vehicles and law enforcement ships. The vehicle terminals are equipped with vehicle positioning modules to obtain the location of the law enforcement vehicle or law enforcement ship and transmit it to the sub-region server.

[0019] In the present invention, preferably, the formulation of the conventional law enforcement algorithm includes the following steps:

[0020] Obtain the personnel information that can be arranged in the sub-area and determine the working hours of the personnel.

[0021] Obtain a map to define as map data, obtain transportation data to obtain road condition information, the road condition information reflects the traffic status of road or sea transportation in each time period, obtain areas with high incidence of illegal activities to define as key areas,

[0022] Regular law enforcement algorithms are formulated based on road conditions information and key areas, with patrol frequencies in key areas being higher than in other areas, and patrol frequencies in areas with complex road conditions being higher than in other areas.

[0023] In the present invention, preferably, the sub-region server is configured with a sub-region database, which records temporary scheduling requirements and corresponding dates. The sub-region server uses the historical data in the sub-region database as a reference to adjust the configuration of mobile personnel in the conventional law enforcement algorithm. The mobile personnel are specifically on-duty personnel who can be mobilized at any time within the sub-region.

[0024] In the present invention, preferably, the temporary scheduling demand is initiated by the mobile law enforcement terminal, and the temporary scheduling demand includes the task type, task description, scheduling destination, administrative region, and task priority. The sub-area server receives the temporary scheduling demand and generates an approval task, and the task is scheduled within the sub-area after approval.

[0025] Beneficial effects of the present invention:

[0026] The present invention divides the area into sub-areas so that it can adapt to the actual use scope requirements based on the jurisdiction as a unit, and facilitates the internal management of each jurisdiction. The setting of the sub-area server facilitates the realization of temporary scheduling needs within the sub-area, and the setting of the cloud server facilitates the regulation of the entire law enforcement area. In addition, according to the scheduling recommendation algorithm, it can quickly match and screen candidates who meet the regional scheduling needs, so that the deployment response speed of law enforcement personnel in the entire area is faster, the efficiency of personnel deployment is improved, and the deployment needs of each sub-area are balanced. In addition, the scheduling recommendation algorithm can comprehensively consider the personnel's current task position, continuous working time and the number of times the same attribute tasks are completed based on the personnel's recommendation score, so that the formulated task scheduling plan can be completed with high quality, and it can also optimize law enforcement efficiency and efficiently utilize resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a schematic flow diagram of the method of the present invention. DETAILED DESCRIPTION

[0028] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0029] It should be noted that when a component is referred to as being "fixed to" another component, it may be directly on the other component or there may also be a central component. When a component is considered to be "connected to" another component, it may be directly connected to the other component or there may also be a central component. When a component is considered to be "set on" another component, it may be directly set on the other component or there may also be a central component. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only.

[0030] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this invention pertains. The terms used in this specification of the present invention are for the purpose of describing specific embodiments only and are not intended to limit the present invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0031] See Figure 1 This embodiment provides a control recommendation algorithm based on the law enforcement force around transportation, including

[0032] S1: Divide the law enforcement area into multiple sub-areas, each of which is equipped with a sub-area server, and formulate a regular law enforcement algorithm for each sub-area in each sub-area server;

[0033] S2: The sub-region server receives the temporary scheduling request and performs scheduling within the sub-region. If the corresponding sub-region cannot meet the scheduling requirement, it generates a regional scheduling request and sends it to the cloud server;

[0034] S3: The cloud server receives the regional scheduling request. The cloud server is equipped with a scheduling recommendation algorithm and generates a regional scheduling plan based on the regional scheduling request. The regional scheduling plan includes the number of dispatchers, the task location adjustment of the dispatchers, and the personnel information.

[0035] S4: The cloud server sends the regional scheduling plan to each sub-region server, and the sub-region server generates personnel scheduling tasks to the corresponding law enforcement personnel;

[0036] S5: The sub-region server adjusts the regular law enforcement algorithm accordingly to adapt to the changes in law enforcement personnel.

[0037] The present invention divides the area into sub-areas so that it can adapt to the actual use scope requirements based on the jurisdiction, and facilitates the internal management of each jurisdiction. The setting of the sub-area server facilitates the realization of temporary scheduling needs within the sub-area, and the setting of the cloud server facilitates the regulation of the entire law enforcement area. In addition, according to the scheduling recommendation algorithm, it can quickly match and screen candidates who meet the regional scheduling needs, so that the deployment response speed of law enforcement personnel in the entire area is faster, the efficiency of personnel deployment is improved, and the deployment needs of each sub-area are balanced, thereby improving work efficiency.

[0038] Specifically, in S1, the division of sub-areas is specifically based on the jurisdiction. The formulation of the conventional law enforcement algorithm includes the following steps:

[0039] S10: Obtaining the personnel information that can be arranged in the sub-area and determining the personnel's working hours. This step specifically determines the personnel's scheduling information and actual working information;

[0040] S11: Obtaining a map to define map data, obtaining transportation data to obtain road condition information, which reflects the traffic status of road or sea transportation in various time periods, and obtaining areas with high incidence of violations to define key areas. In this step, it is necessary to obtain road condition information, including the number of violations, the time of violation, and the specific category of violations, so as to subsequently deploy more law enforcement personnel in the time periods and areas with high incidence of violations;

[0041] S12: Develop regular law enforcement algorithms based on road condition information and key areas, where the patrol frequency in key areas is higher than in other areas, and the patrol frequency in areas with complex road condition information is higher than in other areas.

[0042] In step S2, the scheduling recommendation algorithm is specifically as follows:

[0043] Q=αD+βT+γC,

[0044] Where Q represents the personnel recommendation score, D represents the distance between the personnel's current task location and the temporary scheduling location, α represents the proportional coefficient of D, T represents the personnel's continuous working time, β represents the proportional coefficient of T, C represents the number of times the personnel has completed tasks with similar attributes in the past, and γ represents the proportional coefficient of C. The recommendation score Q is negatively correlated with the distance D between the personnel's current task location and the temporary scheduling location, negatively correlated with the personnel's continuous working time T, and positively correlated with the number of times the personnel has completed tasks with similar attributes in the past.

[0045] Each law enforcement officer is equipped with a mobile law enforcement terminal, which communicates with the corresponding sub-regional server. Each mobile law enforcement terminal is configured with law enforcement officer information, which includes basic personnel information. The mobile law enforcement terminal is configured with a personnel positioning module to obtain the current task location of the law enforcement officer. The mobile law enforcement terminal receives and outputs personnel scheduling tasks from the sub-regional server. The mobile law enforcement terminal records the task attributes and number of times of the corresponding personnel.

[0046] The sub-region server is also connected to a number of vehicle terminals, which are installed on law enforcement vehicles and law enforcement ships. The vehicle terminals are equipped with vehicle positioning modules to obtain the location of the law enforcement vehicle or law enforcement ship and transmit it to the sub-region server.

[0047] The sub-region server is configured with a sub-region database, which records temporary scheduling needs and corresponding dates. The sub-region server uses the historical data in the sub-region database as a reference to adjust the configuration of mobile personnel in the conventional law enforcement algorithm. Mobile personnel are specifically on-duty personnel who can be mobilized at any time within the sub-region.

[0048] Temporary dispatch requirements are initiated by mobile law enforcement terminals. Temporary dispatch requirements include task type, task description, dispatch destination, administrative region, and task priority. The sub-region server receives the temporary dispatch requirements and generates an approval task, which is then dispatched within the sub-region after approval.

[0049] The cloud server is configured with an event sorting strategy. When multiple regional dispatch requests are received within the enforcement area, the event sorting strategy is executed. The event sorting strategy specifically includes:

[0050] Get the urgency of the event. The urgency of the event is pre-determined and manually selected according to the matching situation. Get the scheduling task type and the estimated task duration.

[0051] Sorting calculations are performed based on the event urgency, scheduling task type, and estimated task duration to obtain the event scheduling priority, and scheduling personnel are recommended for each scheduling requirement based on the event scheduling priority ranking.

[0052] In the event sequencing strategy, considering the limited law enforcement resources, it is necessary to sort the scheduling events and redistribute personnel by calculating the event scheduling priority, so that the resources within the entire law enforcement area can be more efficiently and reasonably configured.

[0053] The above are merely preferred embodiments of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions based on the principles of the present invention are within the scope of protection of the present invention. It should be noted that improvements and modifications that do not depart from the principles of the present invention are within the scope of protection of the present invention.

Claims

1. A recommendation model algorithm for the deployment of law enforcement forces around transportation, characterized by: include The law enforcement area is divided into multiple sub-areas, each of which is equipped with a sub-area server, and the conventional law enforcement algorithms of each sub-area are deployed in each sub-area server; The sub-region server receives temporary scheduling requests and performs scheduling within the sub-region. If the corresponding sub-region cannot meet the scheduling needs, it generates a regional scheduling request and sends it to the cloud server; The cloud server receives the regional scheduling demand, the cloud server is configured with a scheduling recommendation algorithm and generates a regional scheduling plan according to the regional scheduling demand, the regional scheduling plan including the number of scheduling personnel, the task position adjustment of the scheduling personnel, and personnel information; The cloud server sends the regional dispatch plan to each sub-region server, and the sub-region server generates personnel dispatch tasks to the corresponding law enforcement personnel; The sub-regional server makes corresponding adjustments to the regular law enforcement algorithm to adapt to the changes in law enforcement personnel; The formulation of the conventional enforcement algorithm includes the following steps: Obtain the personnel information that can be arranged in the sub-area, determine the personnel's working hours, and then determine the personnel's scheduling information and actual work information, Obtain a map to define as map data, obtain transportation data to obtain road condition information, the road condition information reflects the traffic status of road or sea transportation in each time period, obtain areas with high incidence of illegal activities to define as key areas, Formulate regular law enforcement algorithms based on traffic information and key areas, with patrol frequencies in key areas being higher than in other areas, and in areas with complex traffic information being higher than in other areas; The sub-region server is configured with a sub-region database, which records temporary scheduling requirements and corresponding dates. The sub-region server uses historical data in the sub-region database as a reference to adjust the configuration of mobile personnel in the conventional law enforcement algorithm. The mobile personnel are specifically on-duty personnel who can be mobilized at any time within the sub-region.

2. The control recommendation model algorithm based on law enforcement forces around transportation according to claim 1 is characterized by: The scheduling recommendation algorithm is specifically as follows: Q=αD+βT+γC, Among them, Q represents the personnel recommendation score, D represents the distance between the personnel's current task location and the temporary scheduling location, T represents the personnel's continuous working time, and C represents the number of times the personnel has completed tasks with similar attributes in the past. The recommendation score Q is negatively correlated with the distance D between the personnel's current task location and the temporary scheduling location, negatively correlated with the personnel's continuous working time T, and positively correlated with the number of times the personnel has completed tasks with similar attributes in the past.

3. The control recommendation model algorithm based on law enforcement forces around transportation according to claim 1 is characterized by: The cloud server is configured with an event sequencing strategy. When multiple regional dispatch requests are received within the law enforcement area, the event sequencing strategy is executed. The event sequencing strategy specifically includes: Obtain the urgency of the event, which is pre-specified and manually selected based on the matching situation, obtain the scheduling task type, and obtain the estimated task duration. A ranking calculation is performed based on the urgency of the event, the type of scheduling task, and the estimated task duration to obtain the event scheduling priority, and a scheduling personnel is recommended for each scheduling requirement based on the event scheduling priority ranking.

4. The control recommendation model algorithm based on law enforcement forces around transportation according to claim 1 is characterized by: Each law enforcement officer is equipped with a mobile law enforcement terminal, which communicates with the corresponding sub-region server. Each mobile law enforcement terminal is configured with law enforcement officer information, which includes basic personnel information. The mobile law enforcement terminal is configured with a personnel positioning module to obtain the current task location of the law enforcement officer. The mobile law enforcement terminal receives and outputs personnel scheduling tasks from the sub-region server. The mobile law enforcement terminal records the task attributes and number of times of the corresponding personnel.

5. The control recommendation model algorithm based on law enforcement forces around transportation according to claim 1 is characterized by: The sub-region server is also connected to a number of vehicle terminals, which are installed on law enforcement vehicles and law enforcement ships. The vehicle terminals are equipped with a vehicle positioning module to obtain the location of the law enforcement vehicle or law enforcement ship and transmit it to the sub-region server.

6. The control recommendation model algorithm based on law enforcement forces around transportation according to claim 4 is characterized by: The temporary scheduling requirement is initiated by the mobile law enforcement terminal. The temporary scheduling requirement includes the task type, task description, scheduling destination, administrative division, and task priority. The sub-area server receives the temporary scheduling requirement and generates an approval task, which is then scheduled within the sub-area after approval.

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