Regional staff size estimation method and device, electronic equipment and storage medium

Abstract

Embodiments of the present application relate to a kind of regional personnel scale estimation method, device, electronic equipment and storage medium, comprising: obtaining and the efficiency parameter corresponding to each type of efficiency in the i-th level area of target area, preset first-level area coefficient, the regional population of each i-th level area in multiple sample areas, the efficiency estimation scale value corresponding to each type of efficiency, and preset dynamic change coefficient;According to the efficiency parameter corresponding to the first type of efficiency in the i-th level area of target area, determine the efficiency scale value of first type of efficiency;According to the regional population of i-th level area in multiple sample areas, and the efficiency estimation scale value corresponding to each type of efficiency, obtain the efficiency weight of each type of efficiency in the i-th level area of target area;According to the efficiency scale value of all efficiencies, the efficiency weight of each type of efficiency and preset first-level area coefficient, obtain the total scale value of target area.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to a method, apparatus, electronic device and storage medium for calculating the population size of a region. Background Technology

[0002] With the rapid increase in the load on urban road networks, the advantages of motorcycle patrol services—mobility, speed, and flexibility—have become prominent, making them an important aspect of traffic management service model reform in the new era. Therefore, building a motorcycle patrol force with a reasonable size and high combat effectiveness is particularly important.

[0003] Currently, cities both domestically and internationally typically determine the size of their motorcycle police units based on comprehensive police resources. In Europe and America, where traffic police are not a separate category, motorcycle police units are generally set at 2% to 5% of the total police force. For example, the Los Angeles motorcycle police comprise approximately 2.5% of the total force, and the Washington D.C. Park Police motorcycle police comprise approximately 3.8%. Furthermore, the British Metropolitan Police considers factors such as road traffic conditions and enforcement intensity in each patrol zone when calculating motorcycle police unit size by region. Domestically, various regions also consider setting motorcycle police unit sizes based on a proportion of total police force or on-duty officers. For instance, Hefei stipulates that motorcycle police officers in each brigade must account for no less than 15% of the brigade's on-duty officers; Jiangsu stipulates that, in principle, motorcycle police officers in urban areas of prefecture-level cities should account for no less than 20% of the number of officers on duty in urban areas; Wuxi requires motorcycle police to be set at 10% of the total police force; and Chongqing requires the "Yu Police Swift Riders" team to account for approximately 15% of the city's total traffic police force. In addition, Shenzhen is also considering calculating the size of the team based on the patrol sections of urban roads. In principle, each patrol section is 7 kilometers long, and each patrol section is equipped with one motorcycle police team to ensure that there is one motorcycle police officer every 7 kilometers.

[0004] Motorcycle police officers can better leverage their mobility, speed, and flexibility on urban roads with high road density and frequent traffic congestion, thus better demonstrating the advantages of motorcycle policing. However, current theoretical calculations regarding the size of motorcycle police forces are mostly based on proportional settings of existing traffic police resources, resulting in inaccurate assessments and an inability to fully utilize the effectiveness of motorcycle police. There is an urgent need to develop practical theoretical calculation methods from a technical perspective. Summary of the Invention

[0005] This application provides a method, apparatus, electronic device, and storage medium for calculating the population size of a region, in order to solve all or part of the problems in the prior art.

[0006] Firstly, this application provides a method for calculating the population size of a region, the method comprising:

[0007] Obtain the performance parameters corresponding to each type of performance in the i-th level region of the target region, the preset first-level region coefficient corresponding to the target region, the number of people in each i-th level region of multiple sample regions, the performance measurement scale value corresponding to each type of performance in each i-th level region of multiple sample regions, and the preset dynamic change coefficient corresponding to the target region. The number of sample regions is greater than or equal to the number of performance categories.

[0008] The performance scale value of the first type of performance is determined based on the performance parameter corresponding to the first type of performance in the i-th level region of the target region, wherein the first type of performance is any type of performance in each type of performance in the i-th level region.

[0009] Based on the number of people in the i-th level region of multiple sample regions, and the performance measurement scale value corresponding to each type of performance in the i-th level region, obtain the performance weight of each type of performance in the i-th level region of the target region.

[0010] Based on the performance scale values ​​of all effective functions in the target area, the performance weight of each type of effectiveness in the target area, and the preset first-level area coefficient, the theoretical size value of the target area is obtained.

[0011] Based on the theoretical scale value of the region and the preset dynamic change coefficient, the total scale value of the target region is obtained, where the i-th level region is any level region among all regions, and i is a positive integer.

[0012] This approach divides the target area into multiple levels based on practical considerations, and also divides it according to efficiency based on demand. It calculates the efficiency value for each category in each level area and obtains the value for each level area in the target area based on the efficiency value for each category in each level area. This allows for the calculation of the total scale of the target area from an efficiency perspective, which is closer to actual needs and results in more accurate calculation data.

[0013] In conjunction with the first aspect, in the first embodiment of the first aspect of the present invention, the number of people in a region is the number of people in a pre-selected sample region; based on the number of people in the i-th level region among multiple sample regions, and the performance measurement scale value corresponding to each type of performance in the i-th level region, the performance weight of each type of performance in the target region is obtained, including:

[0014] The least squares method is used to linearly fit the population of the i-th level region in multiple sample regions with the performance measurement scale value corresponding to each type of performance in the i-th level region, so as to obtain the performance weight of each type of performance in the i-th level region of the target region.

[0015] This method uses the least squares method to linearly fit the number of people in the i-th level region of multiple sample regions with the performance measurement scale value corresponding to each type of performance in the i-th level region. By using the measurement scale value calculated by actual business, the performance weight of each type of performance in the i-th level region of the target region can be obtained, making the obtained performance weight of each type of performance more in line with actual needs.

[0016] In conjunction with the first aspect or the first embodiment of the first aspect, in the second embodiment of the first aspect of the present invention, the performance scale value includes each performance scale value of a primary region, and each performance scale value corresponding to each region in other regions besides the primary region; the performance weight includes the performance weight corresponding to each performance scale value of the primary region, and the performance weight corresponding to each performance scale value in other regions; the theoretical scale value of the target region is obtained based on the performance scale values ​​of all effective performances in the target region, the performance weight corresponding to each type of performance in the target region, and a preset primary region coefficient, including:

[0017] The first-level region scale value in the target region is obtained based on each efficiency scale value of the first-level region, the efficiency weight corresponding to each efficiency scale value of the first-level region, and the preset first-level region coefficient.

[0018] Based on each performance scale value corresponding to the j-th region in the other regions, and the performance weight corresponding to each performance scale value in the j-th region, obtain the region scale value corresponding to the j-th region, where the j-th region is any region in the other regions, and j is a positive integer;

[0019] The theoretical size of the target region is obtained by using the size value of the primary region and the size value of each region other than the primary region.

[0020] This method obtains the theoretical size of a region by measuring the size of the primary region and the size of each region other than the primary region. It allows for the calculation of the value of different regions based on their personnel needs, especially considering the more core functions and status of the primary region, making the calculation results more accurate.

[0021] In conjunction with the first aspect or the first embodiment of the first aspect, in the third embodiment of the first aspect of the present invention, after obtaining the total scale value of the target region based on the theoretical scale value of the region and the preset dynamic change coefficient, the method further includes:

[0022] Collect first configuration parameter information, wherein the first configuration parameter information is the parameter information generated by the region that is not configured using the total scale value;

[0023] Collect second configuration parameter information, wherein the second configuration parameter information is the parameter information generated by the region configured using the total scale value;

[0024] The performance index of the target area is obtained based on the first configuration parameter information, the second configuration parameter information, the preset first configuration coefficient, and the preset second configuration coefficient, so as to evaluate the performance of the target area based on the performance index.

[0025] This method collects parameter information of the region before and after configuration using the total scale value from a configuration perspective. It can well reflect the performance generated by configuration using the total scale value, thereby enabling performance evaluation and facilitating subsequent performance improvement.

[0026] In conjunction with the third embodiment of the first aspect, in the fourth embodiment of the first aspect of the present invention, the first configuration parameter information includes a first job coverage rate, a first job weight coefficient, a first number of jobs, a first job weight, a first number of teams, a first number of vehicles, and a first number of equipment; the second configuration parameter information includes a second job coverage rate, a second job weight coefficient, a second number of jobs, a second job weight, a second number of teams, a second number of vehicles, and a second number of equipment; the efficiency index of the target area is obtained based on the first configuration parameter information, the second configuration parameter information, a preset first coefficient, and a preset second coefficient, specifically including:

[0027] The first allocation coefficient is obtained based on the coverage rate of the first position, the weight coefficient of the first position, the coverage rate of the second position, and the weight coefficient of the second position.

[0028] The second allocation coefficient is obtained based on the number of first positions, the weight of the first position, the number of second positions, and the weight of the second position;

[0029] The third configuration coefficient is obtained based on the number of the first team, the number of the first vehicles, the number of the first equipment, the number of the second team, the number of the second vehicles, and the number of the second equipment.

[0030] The performance index is obtained based on the preset first coefficient, preset second coefficient, first configuration coefficient, second configuration coefficient, and third configuration coefficient.

[0031] This approach, which uses parameters that significantly impact performance such as the number of positions and job coverage rate, can make the evaluation results more accurate and reliable.

[0032] In conjunction with the fourth embodiment of the first aspect, in the fifth embodiment of the first aspect of the present invention, after obtaining the total scale value of the target region based on the theoretical scale value of the region and the preset dynamic change coefficient, the method further includes:

[0033] Collect business parameter information for the target area, where the business parameter information is the business parameter information generated by the area configured using the total scale value;

[0034] The efficiency index is dynamically adjusted based on business parameter information.

[0035] This method allows for performance evaluation from a business perspective. Performance can be adjusted by modifying business parameters, thereby improving overall efficiency.

[0036] Secondly, this application provides a regional population size measurement device, which includes:

[0037] The acquisition module is used to acquire the performance parameters corresponding to each type of performance in the i-th level region of the target region, the preset first-level region coefficient corresponding to the target region, the number of people in each i-th level region of multiple sample regions, the performance measurement scale value corresponding to each type of performance in each i-th level region of multiple sample regions, and the preset dynamic change coefficient corresponding to the target region. The number of sample regions is greater than or equal to the number of performance categories.

[0038] The determination module is used to determine the performance scale value of the first type of performance based on the performance parameters corresponding to the first type of performance in the i-th level region of the target region, wherein the first type of performance is any type of performance in each type of performance in the i-th level region;

[0039] The processing module is used to obtain the performance weight of each type of performance in the i-th level region of the target region based on the number of people in the i-th level region of multiple sample regions and the performance measurement scale value corresponding to each type of performance in the i-th level region; to obtain the theoretical scale value of the target region based on the performance scale value of all performances in the target region, the performance weight of each type of performance in the target region, and the preset first-level region coefficient; and to obtain the total scale value of the target region based on the theoretical scale value of the region and the preset dynamic change coefficient, where the i-th level region is any level region among all regions, and i is a positive integer.

[0040] Optionally, the device may also include: a linear fitting module;

[0041] The linear fitting module is used to perform linear fitting of the number of people in the i-th level region of multiple sample regions with the performance measurement scale value corresponding to each type of performance in the i-th level region using the least squares method, so as to obtain the performance weight of each type of performance in the i-th level region of the target region.

[0042] Optionally, the device may also include:

[0043] The processing module is also used to obtain the scale value of the first-level region in the target region based on each performance scale value of the first-level region, the performance weight corresponding to each performance scale value of the first-level region, and the preset first-level region coefficient; to obtain the region scale value corresponding to the j-th region based on each performance scale value corresponding to the j-th region in other regions and the performance weight corresponding to each performance scale value of the j-th region, where the j-th region is any region in other regions and j is a positive integer; and to obtain the theoretical region scale value of the target region based on the scale value of the first-level region and the region scale value corresponding to each region in other regions besides the first-level region.

[0044] Optionally, the device may also include: a data acquisition module;

[0045] The acquisition module is used to acquire first configuration parameter information, wherein the first configuration parameter information is parameter information generated in regions that are not configured using the total scale value; and to acquire second configuration parameter information, wherein the second configuration parameter information is parameter information generated in regions that are configured using the total scale value.

[0046] The acquisition module is also used to acquire the performance index of the target area based on the first configuration parameter information, the second configuration parameter information, the preset first configuration coefficient, and the preset second configuration coefficient, so as to evaluate the performance of the target area based on the performance index.

[0047] Optionally, the device may also include:

[0048] The processing module is also used to obtain a first configuration coefficient based on the first job coverage rate, the first job weight coefficient, the second job coverage rate, and the second job weight coefficient; to obtain a second configuration coefficient based on the number of first jobs, the first job weight, the number of second jobs, and the second job weight; to obtain a third configuration coefficient based on the number of first teams, the number of first vehicles, the number of first equipment, the number of second teams, the number of second vehicles, and the number of second equipment; and to obtain an efficiency index based on the preset first coefficient, the preset second coefficient, the first configuration coefficient, the second configuration coefficient, and the third configuration coefficient.

[0049] Optionally, the device may also include: an adjustment module;

[0050] The acquisition module is used to collect business parameter information of the target area, wherein the business parameter information is the business parameter information generated by the area configured with the total scale value;

[0051] The adjustment module is used to dynamically adjust the efficiency index based on business parameter information.

[0052] Thirdly, an electronic device is provided, including a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus;

[0053] Memory, used to store computer programs;

[0054] When a processor executes a program stored in memory, it implements the steps of the method for calculating the size of a region according to any embodiment of the first aspect.

[0055] Fourthly, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps of the regional population size calculation method as described in any embodiment of the first aspect. Attached Figure Description

[0056] Figure 1 This is a schematic diagram of a method for calculating the population size of a region, provided by an embodiment of the present invention.

[0057] Figure 2 A schematic diagram illustrating the method for calculating the scale of motorcycle police personnel in large urban areas provided by this invention;

[0058] Figure 3 This is a flowchart illustrating a method for obtaining the theoretical size value of a target region according to an embodiment of the present invention.

[0059] Figure 4 A flowchart illustrating a method for obtaining an efficiency index provided in this embodiment of the invention;

[0060] Figure 5 A schematic diagram of a regional population size measurement device provided in an embodiment of the present invention;

[0061] Figure 6 This is a schematic diagram of an electronic device structure provided in an embodiment of the present invention. Detailed Implementation

[0062] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0063] To facilitate understanding of the embodiments of the present invention, further explanations and descriptions will be provided below with reference to the accompanying drawings and specific embodiments. These embodiments do not constitute a limitation on the embodiments of the present invention.

[0064] To address the technical problems mentioned in the background section, this application provides a method for calculating the population size of a region, as detailed below. Figure 1 As shown, Figure 1 This is a flowchart illustrating a method for calculating regional population size according to an embodiment of the present invention. The method includes the following steps:

[0065] Step 110: Obtain the performance parameters corresponding to each type of performance in the i-th level region of the target region, the preset first-level region coefficient corresponding to the target region, the number of people in each i-th level region of multiple sample regions, the performance measurement scale value corresponding to each type of performance in each i-th level region of multiple sample regions, and the preset dynamic change coefficient corresponding to the target region.

[0066] Specifically, the number of sample areas is greater than or equal to the number of effectiveness categories. Taking the scale of urban motorcycle patrols as an example, the target area can be divided into different levels such as Level 1, Level 2, and Level 3 according to the core area, central area, and surrounding area. The scale value of different effectiveness is calculated in different level areas. First, it is necessary to obtain the parameter information related to effectiveness, such as the parameter information related to patrol effectiveness, including but not limited to road information, patrol mileage, etc. Considering that the task of Level 1 areas in performing special security, public service, emergency conflict and congestion relief is much larger than that of other areas, it is also necessary to obtain the Level 1 area coefficient. In order to calculate the different weights of different level areas, it is also necessary to set up multiple sample areas and obtain the area population of each Level i area in multiple sample areas and the effectiveness calculation scale value corresponding to each type of effectiveness in each Level i area in multiple sample areas. Furthermore, considering the personnel changes such as injuries, leave, and rotation of team members in the target area, it is also necessary to obtain the preset dynamic change coefficient corresponding to the target area.

[0067] Step 120: Determine the performance scale value of the first type of performance based on the performance parameters corresponding to the first type of performance in the i-th level region of the target region.

[0068] Specifically, the first type of effectiveness is any one of the effectiveness types in each of the i-th level regions. The effectiveness scale value of the first type of effectiveness is determined based on the effectiveness parameters corresponding to the first type of effectiveness in the i-th level region of the target region.

[0069] In an alternative example, such as based on the size of the city's motorcycle patrol personnel, megacities, super-large cities, and large cities can be classified as large cities, while other cities can be classified as medium and small cities. Figure 2 The diagram illustrating the method for calculating the size of motorcycle police personnel in large urban areas divides large cities into four levels: the city core area, the central urban area, the surrounding urban area, and the surrounding suburbs. The theoretical personnel size values ​​for the four levels are τ1, τ2, τ3, and τ4, respectively. The size calculation is performed for each of the four levels.

[0070] After dividing the area into different levels, the effectiveness scale value of each level of area is calculated for different effectiveness levels. For example, the effectiveness of motorcycle patrol is classified into, but is not limited to, patrol effectiveness, emergency response effectiveness, and law enforcement effectiveness.

[0071] From the perspective of patrol effectiveness, the theoretical personnel size values ​​α1, α2, α3, and α4 corresponding to Level 1, Level 2, Level 3, and Level 4 areas are calculated, respectively. Parameters related to patrol effectiveness include: urban physical road mileage, road mileage coefficient, and the ideal daily patrol mileage range per capita. Because the urban road mileage is closely integrated with the actual patrol requirements of each district, patrol mileage decreases progressively from urban to suburban areas, while physical road mileage increases progressively from urban to suburban areas. Therefore, patrol mileage can be calculated using physical road mileage and road mileage coefficient. The road mileage coefficient can be considered from Level 1 to Level 4 areas, where the regional population and functions decrease progressively. The road mileage coefficients for Level 1, Level 2, Level 3, and Level 4 areas can be set to 2.5, 1.1, 0.2, and 0.2, respectively. The total patrol mileage is calculated, and combined with the ideal daily patrol mileage range per capita r, the theoretical personnel size value for patrol in Level 4 areas is calculated.

[0072] The calculation formula is as follows:

[0073]

[0074] Where α1 is the theoretical personnel size for patrolling the primary area of ​​a large city, R1 is the physical road mileage of the primary area of ​​a large city, and r is the ideal daily patrol mileage range per capita.

[0075]

[0076] Where α2 is the theoretical personnel size for patrolling the secondary area of ​​a large city, R2 is the physical road mileage of the secondary area of ​​a large city, and r is the ideal daily patrol mileage range per person.

[0077]

[0078] Where α3 is the theoretical personnel size for three-level area patrol in a large city, R3 is the physical road mileage of the three-level area in a large city, and r is the ideal daily patrol mileage range per person.

[0079]

[0080] Where α4 is the theoretical personnel size for patrolling the fourth-level area of ​​a large city, R4 is the physical road mileage of the fourth-level area of ​​a large city, and r is the ideal daily patrol mileage range per capita.

[0081] It should be noted that the mileage coefficient can be set according to the actual situation of different cities. For example, the coefficient for densely populated cities should be larger than that for sparsely populated cities. This is not limited to the setting of this scheme.

[0082] From the perspective of emergency response efficiency, the scale values ​​of emergency response efficiency for first-, second-, third-, and fourth-tier cities in large cities are calculated. Emergency response can be further divided into 122 emergency response and proactive emergency response. Parameters for emergency response efficiency include average monthly 122 emergency response volume, average monthly proactive emergency response volume, ideal average monthly number of emergency responses per person, 122 emergency response coefficient, and proactive emergency response weighting coefficient. Considering that proactive emergency response is an important indicator of the scale of motorcycle patrols, the average monthly 122 emergency response coefficient is set to 0.4, and the average monthly proactive emergency response weighting coefficient is set to 0.6. Based on the parameters of emergency response efficiency, the theoretical scale values ​​β1, β2, β3, and β4 for emergency response in first-, second-, third-, and fourth-tier regions are calculated, which can be expressed by the following formula:

[0083]

[0084] Where β1 represents the theoretical personnel size for handling emergency calls in a primary area of ​​a large city, and P 11 The number of alarms handled by the 122 platform in the first-level area is given by f1, where f1 is the alarm handling weighting coefficient of the 122 platform, and P is the total number of alarms handled by the 122 platform. 12 f2 represents the number of proactive police responses in a primary area of ​​a large city, f2 is the proactive police response weighting coefficient, and p is the ideal range of the number of police responses per person per month.

[0085]

[0086] Wherein, β2 represents the theoretical personnel size for secondary area emergency response in large cities, and P 21 The number of alarms handled by the 122 platform in the secondary area is given by f1, which is the alarm handling weighting coefficient of the 122 platform. 22 f2 represents the number of proactive police responses in secondary areas of large cities, f2 is the proactive police response weighting coefficient, and p is the ideal range of the number of police responses per person per month.

[0087]

[0088] Wherein, β3 represents the theoretical personnel size for handling emergency calls in a three-tiered area of ​​a large city, and P 31 For the third-level area, f1 represents the alarm handling volume of the 122 platform, and P represents the alarm handling weighting coefficient of the 122 platform. 32 f2 represents the number of proactive police responses in the three-tiered areas of a large city, f2 is the proactive police response weighting coefficient, and p is the ideal range of the number of police responses per person per month.

[0089]

[0090] Wherein, β4 represents the theoretical personnel size for handling emergency calls in a large city's fourth-level regional emergency response system, and P 41 For the fourth-level area, f1 represents the alarm handling volume of the 122 platform, and f1 represents the alarm handling weighting coefficient of the 122 platform. 42 f2 represents the number of proactive police responses in a fourth-level area of ​​a large city, f2 is the proactive police response weighting coefficient, and p is the ideal range of the number of police responses per person per month.

[0091] It should be noted that the weighting coefficients for 122 emergency call handling and proactive emergency response can be set according to the actual situation of the city, and are not limited to the example settings in this scheme.

[0092] From the perspective of law enforcement efficiency, the theoretical personnel size values ​​γ1, γ2, γ3, and γ4 for level 1, 2, 3, and 4 law enforcement efficiency in large cities are calculated respectively. The parameters related to law enforcement efficiency can be the average monthly total number of law enforcement actions and the ideal range of average monthly law enforcement actions per person. The theoretical personnel size values ​​for law enforcement in level 4 regions are calculated as follows:

[0093]

[0094] Wherein, γ1 is the theoretical personnel size value of law enforcement efficiency in the first-level area of ​​a large city, Q1 is the average monthly law enforcement volume in the first-level area of ​​a large city, and q is the ideal range of monthly law enforcement frequency per person.

[0095]

[0096] Wherein, γ2 is the theoretical personnel size value of law enforcement efficiency in the secondary area of ​​a large city, Q2 is the average monthly law enforcement volume in the secondary area of ​​a large city, and q is the ideal range of monthly law enforcement frequency per person.

[0097]

[0098] Wherein, γ3 is the theoretical personnel size value of the three-level regional law enforcement efficiency of large cities, Q3 is the average monthly law enforcement volume of the three-level regions of large cities, and q is the ideal range of monthly law enforcement frequency per person.

[0099]

[0100] Wherein, γ4 is the theoretical personnel size value of the three-level regional law enforcement efficiency of large cities, Q4 is the average monthly law enforcement volume of the three-level regions of large cities, and q is the ideal range of monthly law enforcement times per person.

[0101] In another alternative example, the entire area of ​​a medium-sized or small city can be divided into the city center and the surrounding area as primary and secondary regions, respectively. Let the theoretical population size values ​​of the secondary regions be τ'1 and τ'2, and perform size calculations for each secondary region.

[0102] From the perspective of patrol effectiveness, the theoretical patrol personnel size values ​​α'1 and α'2 for the first and second level areas are calculated. The urban road mileage of the region is closely combined with the actual patrol duty requirements of each district. Patrol mileage is calculated using physical road mileage R'1 and R'2. The road mileage coefficients for the second level areas are set at 1.5 and 0.4 respectively. The total patrol mileage is calculated, and combined with the ideal daily patrol mileage per person r range, the theoretical patrol personnel size value for the second level areas is calculated separately, as shown in the following formula:

[0103]

[0104] Where α′1 is the theoretical patrol personnel size for the first-level area of ​​a small-to-medium-sized city, R′1 is the physical road mileage of the first-level area of ​​a small-to-medium-sized city, and r is the ideal daily patrol mileage range per capita.

[0105]

[0106] Where α′2 is the theoretical patrol personnel size for the secondary area of ​​a small to medium-sized city, R′2 is the physical road mileage of the secondary area of ​​a small to medium-sized city, and r is the ideal daily patrol mileage range per capita.

[0107] It should be noted that the specific road mileage coefficient needs to be set flexibly according to the actual situation, and this article does not impose too many restrictions.

[0108] From the perspective of emergency response efficiency, the theoretical scale of emergency response in primary and secondary regions is calculated separately. This can be combined with local practical experience to obtain the average monthly emergency response volume for each region, including 122 emergency responses and proactive response volume, and considering the ideal range of average monthly emergency response times per person. The theoretical personnel scale for emergency response in both regions is calculated separately using the following formula:

[0109]

[0110] Wherein, β′1 represents the theoretical personnel size for handling emergency calls in a primary area of ​​a small to medium-sized city, and P′ 11 For the number of emergency calls handled by the 122 platform in small and medium-sized cities, P′ 12 For small and medium-sized cities, f1 is the active emergency response volume in a first-level area, f2 is the active emergency response weight coefficient, and p is the ideal range of average monthly emergency response volume per person.

[0111]

[0112] Wherein, β′2 represents the theoretical personnel size for handling emergency calls in secondary areas of small and medium-sized cities, and P′ 21 For the number of emergency calls handled by the 122 platform in secondary areas of small and medium-sized cities, P′ 22For secondary areas of small and medium-sized cities, f1 is the call handling weight coefficient of the 122 platform, f2 is the active call handling weight coefficient, and p is the ideal range of call handling times per person per month.

[0113] From the perspective of law enforcement efficiency, the theoretical personnel size values ​​for law enforcement efficiency in the first and second-level areas of small and medium-sized cities are calculated separately. Considering the actual working conditions, the parameters for law enforcement efficiency can be set as the average monthly total number of law enforcement actions and the ideal range of average monthly law enforcement actions per person, which can be expressed by the following formula:

[0114]

[0115] Wherein, γ′1 is the theoretical personnel size value of law enforcement efficiency in the first-level area of ​​a small-to-medium-sized city, Q′1 is the average monthly law enforcement volume in the first-level area of ​​a small-to-medium-sized city, and q is the ideal range of monthly law enforcement frequency per person.

[0116]

[0117] Wherein, γ′2 is the theoretical personnel size value of law enforcement efficiency in the secondary area of ​​small and medium-sized cities, Q′2 is the average monthly law enforcement volume in the secondary area of ​​small and medium-sized cities, and q is the ideal range of monthly law enforcement frequency per person.

[0118] After calculating the theoretical personnel size values ​​for different efficiencies in the i-th level region, it is also necessary to calculate the efficiency weights for cities of different sizes to make the final calculation results more consistent with reality. For example, the weight of law enforcement efficiency may be higher for larger cities, and the weights of other efficiencies may also differ depending on the city size. Therefore, some cities with similar sizes to the target region to be calculated can be selected as samples for calculation, as shown in the following steps:

[0119] Step 130: Based on the number of people in the i-th level region among multiple sample regions and the performance measurement scale value corresponding to each type of performance in the i-th level region, obtain the performance weight of each type of performance in the i-th level region of the target region.

[0120] Specifically, the number of people in the i-th level region of multiple sample regions is collected, and the effectiveness of each type of the i-th level region is calculated to obtain the corresponding effectiveness calculation scale value. Then, based on the number of people in the i-th level region of multiple sample regions and the effectiveness calculation scale value corresponding to each type of effectiveness, the effectiveness weight of each type of effectiveness in the i-th level region of the target region is obtained.

[0121] In an optional example, assuming the target region is a large city, the weight of each type of effectiveness is calculated for each level of region within the large city. Cities similar in size to large cities are selected as sample cities. Assuming the regional population size of the sample cities is Y, the regional population size value is the set of population size values ​​for all levels of regions. The population size value for any level of region is a function of the effectiveness measurement scale value based on per capita business and the corresponding effectiveness weight, which can be expressed by the following formula:

[0122] Y = ∑y = ∑f(x; λ) (Formula 19)

[0123] Where Y is the population size of the sample area, y is the population size of the i-th level area in the sample area, x is the preset size of any type of efficiency based on per capita business, and λ is the weight of the corresponding efficiency.

[0124] Formula 19 can be used to derive the formula for the population size of the i-th level region, as shown below:

[0125]

[0126] Where y is the personnel size value of the i-th level region in the sample area, x is the preset size value of any type of efficiency based on per capita business, and λ is the weight of the corresponding efficiency. λn represents the specific personnel size value based on per capita business calculations for patrol and control efficiency, emergency response efficiency, or law enforcement efficiency, where λn is the efficiency weight corresponding to each of the patrol and control efficiency, emergency response efficiency, or law enforcement efficiency, and n is a positive integer.

[0127] λn can be obtained by solving a system of linear algebraic equations in λ1, λ2, λ3…λn, as shown in the following formula:

[0128]

[0129] in, This refers to patrol and control efficiency, emergency response efficiency, or law enforcement efficiency calculated based on per capita workload. For patrol and control efficiency, emergency response efficiency, or law enforcement efficiency based on per capita business, y is the personnel size value of the i-th level area in the sample area.

[0130] Step 140: Based on the performance scale values ​​of all effective functions in the target area, the performance weight of each type of performance in the target area, and the preset first-level area coefficient, obtain the theoretical scale value of the target area.

[0131] Specifically, based on the performance personnel scale value of each efficiency in the i-th level region of the target area, and the efficiency weight corresponding to each efficiency value, for example, the target area is divided into four levels, and each level is divided into three types of efficiency, then there are a total of twelve performance personnel scale values ​​in the target area. Considering that the iron cavalry task in the first-level region is relatively heavy, a first-level region coefficient is preset for the first-level region. Therefore, the regional personnel scale value of the target area can also be divided into the regional personnel scale value of the first-level region and the regional personnel scale value of other regions.

[0132] Optionally, the performance scale value includes the performance scale value of each primary region, and the performance scale value corresponding to each region in other regions besides the primary region. The performance weight includes the performance weight corresponding to each performance scale value in the primary region, and the performance weight corresponding to each performance scale value in other regions. Based on the performance scale values ​​of all effective functions in the target region, the performance weight corresponding to each type of performance in the target region, and the preset primary region coefficient, the theoretical scale value of the target region is obtained, and it also includes, for example, Figure 3 The steps shown are as follows:

[0133] Step 310: Obtain the first-level region scale value in the target region based on each efficiency scale value of the first-level region, the efficiency weight corresponding to each efficiency scale value of the first-level region, and the preset first-level region coefficient.

[0134] Specifically, based on the personnel size value of each effective personnel in the first-level area and the corresponding effectiveness weight of each effective personnel size value in the first-level area, the basic personnel size value of the first-level area is obtained. Considering that the first-level area is the area with the highest political security requirements and has high requirements for patrol coverage and rapid arrival, a first-level area coefficient is set. Combined with the first-level area coefficient, the size value of the first-level area in the target area is obtained.

[0135] In an optional example, for example Figure 2 In the schematic diagram illustrating the method for calculating the scale of motorcycle patrol personnel in large urban areas, calculating the scale of motorcycle patrol personnel in a first-level area requires calculating and weighting the theoretical patrol personnel scale value α1, the theoretical emergency response personnel scale value β1, and the theoretical law enforcement personnel scale value γ1. Combining this with the weight coefficients corresponding to each type of effectiveness in each level of area calculated in step 130, the effectiveness weights corresponding to the theoretical patrol personnel scale value α1, the theoretical emergency response personnel scale value β1, and the theoretical law enforcement personnel scale value γ1 are respectively λ. 11 , λ 12 and λ 13 Since large cities can be classified into megacities, super-large cities, and large cities, a range of values ​​for the efficiency weighting coefficient can be set based on city size. This range can be calculated using actual sample data. 11 , λ 12 and λ 13The values ​​can be 36%-40%, 30%-32%, and 30%-32%, respectively. Considering that the workload of Level 1 regions in actual work, such as special security, public service, emergency response, and congestion management, is much higher than that of Level 2, 3, and 4 regions, to particularly highlight this part of the workload that is not directly statistically analyzed, the coefficient for Level 1 regions can be set to 1.2. Therefore, the theoretical personnel size value of Level 1 regions in large cities, i.e., the size value of Level 1 regions, can be calculated using the following formula:

[0136] τ1=d(λ 11 α1+λ 12 β1+λ 13 γ1) (Formula 22)

[0137] Where τ1 is the theoretical personnel size of the primary region of a large city, d is the primary region coefficient, α1 is the theoretical personnel size of the primary region patrol effectiveness of a large city, and λ 11 β1 represents the theoretical personnel size for handling emergency calls in the primary area of ​​a large city, and λ represents the patrol effectiveness weight in the primary area of ​​a large city. 12 γ1 represents the theoretical personnel size value for law enforcement efficiency in the primary area of ​​a large city, and λ represents the weight of the emergency response efficiency in the primary area of ​​a large city. 13 The weight of law enforcement effectiveness in primary areas of large cities.

[0138] In another optional example, such as the scale of motorcycle patrols in a first-level area of ​​a small to medium-sized city, it is necessary to calculate and sum the weighted values ​​of the theoretical patrol personnel scale α'1, the theoretical emergency response personnel scale β'1, and the theoretical law enforcement personnel scale γ'1. Combining this with the weight coefficients corresponding to each type of effectiveness for each level of area calculated in step 130, the effectiveness weights corresponding to the theoretical patrol personnel scale α'1, the theoretical emergency response personnel scale β'1, and the theoretical law enforcement personnel scale γ'1 are respectively λ'. 11 、λ' 12 and λ' 13 The coefficient of its corresponding performance weight can be λ' 11 Values ​​range from 34% to 38%, λ' 12 Values ​​range from 31% to 33%, λ' 13 The value is set at 31%-33%. Considering that the workload of Level 1 regions in actual work, including special security, public service, emergency response, and congestion management, is much higher than that of Level 2 regions, to particularly highlight this part of the workload that is not directly statistically analyzed, the coefficient for Level 1 regions can be set at 1.2. Therefore, the theoretical personnel size of Level 1 regions in large cities can be calculated using the following formula:

[0139] τ'1=d'(λ' 11 α'1+λ' 12 β'1+λ' 13γ'1) (Formula 23)

[0140] Where τ'1 is the theoretical personnel size of the first-level area in small and medium-sized cities, α'1 is the theoretical personnel size of the first-level area patrol effectiveness in small and medium-sized cities, and λ' 11 β'1 represents the theoretical personnel size for handling emergency calls in the primary area of ​​small and medium-sized cities, and λ' represents the patrol effectiveness weight for primary areas of small and medium-sized cities. 12 γ'1 represents the weight of the first-level regional emergency response efficiency in small and medium-sized cities, γ'1 represents the theoretical personnel size value of the first-level regional law enforcement efficiency in small and medium-sized cities, and λ' represents the weight of the first-level regional emergency response efficiency in small and medium-sized cities. 13 The weighting of law enforcement effectiveness in primary areas of small and medium-sized cities.

[0141] Step 320: Based on each performance scale value corresponding to the j-th region in other regions and the performance weight corresponding to each performance scale value in the j-th region, obtain the region scale value corresponding to the j-th region.

[0142] Specifically, the j-th region is any one of the other regions, where j is a positive integer. The other regions are regions of other levels besides the first-level regions. Based on the efficiency scale value corresponding to each efficiency value of the j-th region in the other regions and the efficiency weight corresponding to each efficiency value in the j-th region, the regional personnel scale value of the j-th region in the other regions can be obtained.

[0143] In an optional example, for instance, calculating the size of motorcycle patrol personnel in areas other than the primary area of ​​a large city, the efficiency weights of the secondary, tertiary, and quaternary areas are also obtained through the calculation in step 130. As the main urban area, the secondary area has relatively balanced efficiency requirements for various operations, so the patrol efficiency weight of the secondary area of ​​a large city can be set as λ. 21 The weight of the emergency response efficiency is λ. 22 The weight of law enforcement effectiveness is λ. 23 The coefficient of its corresponding performance weight can be λ. 21 Values ​​range from 34% to 36%, λ 22 Values ​​range from 34% to 36% and λ 23 Values ​​range from 28% to 32%.

[0144] As a surrounding urban area, the third-level region has a large jurisdiction area and a concentration of police incidents on specific roads. While it has relatively few personnel, the requirements for handling and responding to incidents are relatively high. Therefore, the patrol efficiency weight, incident handling efficiency weight, and law enforcement efficiency weight for the third-level region can be set as λ respectively. 31 , λ 32 and λ 33 The coefficient of its corresponding performance weight can be λ. 31 Values ​​range from 30% to 35%, λ 32Values ​​range from 40% to 42%, λ 33 Values ​​range from 25% to 28%.

[0145] As a suburban area, the Level 4 region has a large jurisdiction area and a high concentration of police incidents around scenic spots. It also has relatively few police posts. Therefore, the weights for patrol efficiency, emergency response efficiency, and law enforcement efficiency in the Level 4 region are set as λ respectively. 41 , λ 42 and λ 43 The coefficient of its corresponding performance weight can be λ. 41 Values ​​range from 30% to 35%, λ 42 Values ​​range from 40% to 42%, λ 43 Values ​​range from 25% to 28%.

[0146] The specific formula for calculating the population size of secondary zones in large cities is as follows:

[0147] τ2=λ 21 α2+λ 22 β2+λ 23 γ2 (Formula 24)

[0148] Where τ2 is the theoretical personnel size of the secondary area of ​​a large city, α2 is the theoretical personnel size of the patrol and control effectiveness of the secondary area of ​​a large city, and λ 21 β2 represents the patrol effectiveness weight of the secondary area in a large city, λ represents the theoretical personnel size for handling emergency calls in the secondary area of ​​a large city, and β2 represents the patrol effectiveness weight of the secondary area in a large city. 22 γ2 represents the weight of emergency response efficiency in the secondary areas of a large city, γ2 represents the theoretical personnel size value of law enforcement efficiency in the secondary areas of a large city, and λ represents the weight of emergency response efficiency in the secondary areas of a large city. 23 The weighting of law enforcement effectiveness in secondary areas of large cities.

[0149] The specific formula for calculating the regional population size of the third-tier area in a large city is as follows:

[0150] τ3=λ 31 α3+λ 32 β3+λ 33 γ3 (Formula 25)

[0151] Where τ3 is the theoretical personnel size of the third-level area in a large city, α3 is the theoretical personnel size of the third-level area patrol effectiveness in a large city, and λ 31 β3 represents the theoretical personnel size for handling emergency calls in the three-tiered area of ​​a large city, and λ represents the effective patrol and control weights of the three-tiered area of ​​a large city. 32 γ3 represents the weight of the three-tiered regional emergency response efficiency in large cities, γ3 represents the theoretical personnel size value of the three-tiered regional law enforcement efficiency in large cities, and λ represents the weight of the three-tiered regional emergency response efficiency. 33 The weighting of law enforcement effectiveness in three-tiered areas of large cities.

[0152] The specific formula for calculating the regional population size of a fourth-level region in a large city is as follows:

[0153] τ4=λ 41 α4+λ 42 β4+λ 43 γ4 (Formula 26)

[0154] Where τ4 is the theoretical personnel size value of the fourth-level area of ​​a large city, α4 is the theoretical personnel size value of the fourth-level area patrol and control effectiveness of a large city, and λ 41 β4 represents the theoretical personnel size for handling emergency calls in a large city's fourth-level area, and λ represents the effective patrol and control capacity of the area. 42 γ4 represents the weight of the fourth-level regional emergency response efficiency in large cities, γ4 represents the theoretical personnel size value of the fourth-level regional law enforcement efficiency in large cities, and λ represents the weight of the fourth-level regional emergency response efficiency in large cities. 43 The weighting of law enforcement effectiveness in four levels of large cities.

[0155] In another alternative example, for instance, when calculating the size of motorcycle patrol personnel in areas other than the primary zone in small and medium-sized cities, the secondary zone, as the main urban area, has more balanced requirements for the efficiency of various operations. Therefore, the patrol efficiency weight of the secondary zone in a large city can be set as λ'. 21 The weight of the emergency response efficiency is λ' 22 The weight of law enforcement effectiveness is λ' 23 The coefficient of its corresponding performance weight can be λ'. 21 Values ​​range from 33% to 34%, λ' 22 Values ​​33%-34% and λ' 23 The value is between 33% and 34%.

[0156] The specific formula for calculating the regional population size of secondary areas in small and medium-sized cities is as follows:

[0157] τ'2=λ' 21 α'2+λ' 22 β'2+λ' 23 γ'2 (Formula 27)

[0158] Where τ'2 is the theoretical personnel size of the secondary area in small and medium-sized cities, α'2 is the theoretical personnel size of the secondary area patrol effectiveness in small and medium-sized cities, and λ' 21 β'2 represents the theoretical personnel size for handling emergency calls in the secondary areas of small and medium-sized cities, and λ' represents the patrol effectiveness weight for secondary areas of small and medium-sized cities. 22 γ'2 represents the weight of emergency response efficiency in secondary areas of small and medium-sized cities, while λ' represents the theoretical personnel size value for law enforcement efficiency in secondary areas of small and medium-sized cities. 23 The weighting of law enforcement effectiveness in secondary areas of small and medium-sized cities.

[0159] Step 330: Obtain the theoretical size value of the target area based on the size value of the first-level area and the size value of each area other than the first-level area.

[0160] Specifically, the theoretical size of the target area can be obtained by summing the population size of the first-level area and the population size of other areas besides the first-level area.

[0161] In an optional example, for example Figure 2 The diagram illustrating the method for calculating the size of motorcycle police personnel in a large urban area shows that the theoretical size of the area is obtained by summing the theoretical personnel size values ​​τ1 (first-level area), τ2 (second-level area), τ3 (third-level area), and τ4 (fourth-level area) of the large city. The specific calculation method is as follows:

[0162] τ=τ1+τ2+τ3+τ4 (Formula 28)

[0163] Wherein, τ is the theoretical regional scale value of a large city, τ1 is the theoretical population scale value of a first-level region of a large city, τ2 is the theoretical population scale value of a second-level region of a large city, τ3 is the theoretical population scale value of a third-level region of a large city, and τ4 is the theoretical population scale value of a fourth-level region of a large city.

[0164] In another alternative example, to calculate the regional theoretical size of a motorcycle convoy in a small to medium-sized city, the theoretical size of the region is obtained by summing the first-level regional theoretical size τ'1 and the second-level regional theoretical size τ'2 of a large city. The specific calculation method is as follows:

[0165] τ'=τ'1+τ'2 (Formula 29)

[0166] Wherein, τ' is the theoretical regional scale value of small and medium-sized cities, τ'1 is the theoretical population scale value of the first-level region of small and medium-sized cities, and τ'2 is the theoretical population scale value of the second-level region of small and medium-sized cities.

[0167] This method obtains the theoretical size of a region by measuring the size of the primary region and the size of each region other than the primary region. It allows for the calculation of the value of different regions based on their personnel needs, especially considering the more core functions and status of the primary region, making the calculation results more accurate.

[0168] Based on the calculated theoretical size of the region, and considering the possibility of absence due to shift work, injuries, or training, it is necessary to add a dynamic change factor for the team to accommodate daily flexible changes in the team.

[0169] Step 150: Obtain the total size of the target area based on the theoretical size of the area and the preset dynamic change coefficient.

[0170] Specifically, the i-th level region is any level region among all regions, where i is a positive integer. Multiplying the theoretical size value of the region by a preset dynamic change coefficient yields the total size value of the target region.

[0171] In an optional example, for example Figure 2 The calculation formula for the size of the regional cavalry force in a large city is as follows: Let the total size of the cavalry force in a large city be K.

[0172] K = τc (Formula 30)

[0173] Where K is the total size of the motorcycle convoy in a large city, τ is the theoretical size of the large city's region, and c is the preset dynamic change coefficient.

[0174] In another alternative example, for instance, to calculate the size of a regional motorcycle cavalry force in a small to medium-sized city, let the total size of the motorcycle cavalry force in a small to medium-sized city be K′. The specific calculation formula is as follows:

[0175] K′=τ′c (Formula 31)

[0176] Where K′ is the total size of the motorcycle convoy in small and medium-sized cities, τ′ is the theoretical size of the region in small and medium-sized cities, and c is the preset dynamic change coefficient.

[0177] This method divides the target area into multiple levels and calculates the performance value of each category in each level. Based on the performance value of each category in each level, the value of each level in the target area is obtained, and then the total size of the target area is calculated. The total size can be calculated from the perspective of performance, which is closer to actual needs and the calculation data is more accurate.

[0178] Optionally, the number of people in the region is the number of people in the pre-selected sample regions; based on the number of people in the i-th level region among multiple sample regions, and the performance measurement scale value corresponding to each type of performance in the i-th level region, the performance weight of each type of performance in the target region is obtained, including:

[0179] The least squares method is used to linearly fit the population of the i-th level region in multiple sample regions with the performance measurement scale value corresponding to each type of performance in the i-th level region, so as to obtain the performance weight of each type of performance in the i-th level region of the target region.

[0180] Specifically, in an optional example, to measure the effectiveness weight of each type of effectiveness in the i-th level region of a megacity, where a megacity can be divided into four effectiveness categories, at least four cities that meet the criteria for megacity can be selected as sample cities. For example, Beijing, Shanghai, Shenzhen, and Guangzhou can be selected as the first, second, third, and fourth sample cities, respectively. The least squares method can be used to list the linear equations for the i-th level region of each of the four cities for linear fitting. The specific formula is as follows:

[0181]

[0182] Where y1 is the size value of the i-th level region of the first sample city. This represents the first type of efficiency scale value for the i-th level region of the first sample city, calculated based on per capita business volume. This represents the second type of efficiency scale value for the i-th level region of the first sample city, calculated based on per capita business volume. This represents the third type of efficiency scale value for the i-th level region of the first sample city, calculated based on per capita business volume. y1 represents the fourth type of efficiency scale value of the i-th level region in the first sample city, calculated based on per capita business volume, while y2 represents the scale value of the i-th level region in the second sample city. This represents the first type of efficiency scale value for the i-th level region of the second sample city, calculated based on per capita business volume. This represents the second type of efficiency scale value for the i-th level region in the second sample city, calculated based on per capita business volume. This represents the third type of efficiency scale value for the i-th level region of the second sample city, calculated based on per capita business volume. y1 represents the fourth type of efficiency scale value of the i-th level region in the second sample city, calculated based on per capita business volume, while y2 represents the scale value of the i-th level region in the third sample city. This represents the first type of efficiency scale value for the i-th level region of the third sample city, calculated based on per capita business volume. This represents the second type of efficiency scale value for the i-th level region in the third sample city, calculated based on per capita business volume. This represents the third type of efficiency scale value for the i-th level region of the third sample city, calculated based on per capita business volume. Let y4 be the fourth type of efficiency scale value of the i-th level region in the third sample city, calculated based on per capita business volume, and y4 be the scale value of the i-th level region in the fourth sample city. This represents the first type of efficiency scale value for the i-th level region in the fourth sample city, calculated based on per capita business volume. This represents the second type of efficiency scale value for the i-th level region in the fourth sample city, calculated based on per capita business volume. This represents the third type of efficiency scale value for the i-th level region of the fourth sample city, calculated based on per capita business volume. λ1 represents the fourth type of efficiency scale value of the i-th level region of the fourth sample city based on per capita business calculation, λ2 represents the second type of efficiency weight of the i-th level region of the megacity, λ3 represents the third type of efficiency weight of the i-th level region of the megacity, and λ4 represents the fourth type of efficiency weight of the i-th level region of the megacity.

[0183] In the above system of equations, only λ1, λ2, λ3, and λ4 are unknowns, while the others are knowns. By solving the system of equations, the values ​​of λ1, λ2, λ3, and λ4 can be obtained.

[0184] This method uses the least squares method to linearly fit the number of people in the i-th level region of multiple sample regions with the performance measurement scale value corresponding to each type of performance in the i-th level region. By using the measurement scale value calculated by actual business, the performance weight of each type of performance in the i-th level region of the target region can be obtained, making the obtained performance weight of each type of performance more in line with actual needs.

[0185] Optionally, after obtaining the total size of the target region based on the theoretical size of the region and a preset dynamic change coefficient, the method further includes:

[0186] Collect first configuration parameter information, wherein the first configuration parameter information is the parameter information generated by the region that is not configured using the total scale value;

[0187] Collect second configuration parameter information, wherein the second configuration parameter information is the parameter information generated by the region configured using the total scale value;

[0188] The performance index of the target area is obtained based on the first configuration parameter information, the second configuration parameter information, the preset first configuration coefficient, and the preset second configuration coefficient, so as to evaluate the performance of the target area based on the performance index.

[0189] Specifically, after obtaining the total scale value of the target area based on the theoretical scale value of the area and the preset dynamic change coefficient, the effectiveness generated by the total scale value can be evaluated. For example, a pre-assessment method can be used to collect parameter information before the total scale value is used to configure the area, i.e., the first configuration parameter information, and the configuration parameter information after the total scale value is used to configure the area, i.e., the second configuration parameter information, from the perspective of job configuration, and comprehensively evaluate the change in effectiveness.

[0190] In an optional example, for instance, regarding the effectiveness of motorcycle police, the system can collect parameter information from the perspectives of motorcycle post configuration and motorcycle vehicle configuration. This includes the first configuration parameter information (before configuration using the total motorcycle scale value) and the second configuration parameter information (after configuration using the total scale value) to comprehensively evaluate the changes in motorcycle police effectiveness.

[0191] This method collects parameter information of the region before and after configuration using the total scale value from a configuration perspective. It can well reflect the performance generated by configuration using the total scale value, thereby enabling performance evaluation and facilitating subsequent performance improvement.

[0192] Optionally, the first configuration parameter information includes the first job coverage rate, the first job weight coefficient, the number of first jobs, the first job weight, the number of first teams, the number of first vehicles, and the number of first equipment; the second configuration parameter information includes the second job coverage rate, the second job weight coefficient, the number of second jobs, the second job weight, the number of second teams, the number of second vehicles, and the number of second equipment. Based on the first configuration parameter information, the second configuration parameter information, the preset first coefficient, and the preset second coefficient, the efficiency index of the target area is obtained, specifically including, for example... Figure 4 The steps shown are as follows:

[0193] Step 410: Obtain the first configuration coefficient based on the first job coverage rate, the first job weight coefficient, the second job coverage rate, and the second job weight coefficient.

[0194] Specifically, the first job coverage rate includes the coverage rate of motorcycle patrol positions in urban areas without adopting the overall scale layout and the coverage rate of motorcycle patrol positions in urban areas with adopting the overall scale layout. The second job coverage rate includes the coverage rate of motorcycle patrol positions in suburban areas without adopting the overall scale layout and the coverage rate of motorcycle patrol positions in suburban areas with adopting the overall scale layout. The first allocation coefficient is obtained based on the coverage rates of motorcycle patrol positions in urban areas without adopting the overall scale layout, the coverage rates of motorcycle patrol positions in urban areas with adopting the overall scale layout, the coverage rates of motorcycle patrol positions in suburban areas without adopting the overall scale layout, the coverage rates of motorcycle patrol positions in suburban areas with adopting the overall scale layout, the first job weight coefficient, and the second job weight coefficient.

[0195] In an optional example, the job layout coefficient, i.e., the first configuration coefficient, can be obtained based on the job coverage rate and job coverage coefficient in urban and suburban areas. This is combined with the job matching coefficient in urban areas, which can be, for example, 0.6, and the job matching coefficient in suburban areas, which can be, for example, 0.4. The specific calculation formula is as follows:

[0196]

[0197] Wherein, C is the post layout coefficient of the motorcycle police, i.e. the first matching coefficient, c1 is the coverage rate of motorcycle police posts in urban areas without using the total scale value for layout, c2 is the coverage rate of motorcycle police posts in suburban areas without using the total scale value for layout, c'1 is the coverage rate of motorcycle police posts in urban areas with the total scale value for layout, c'2 is the coverage rate of motorcycle police posts in suburban areas with the total scale value for layout, h1 is the weight coefficient of motorcycle police posts in urban areas, and h2 is the weight coefficient of motorcycle police posts in suburban areas.

[0198] Step 420: Obtain the second configuration coefficient based on the number of first positions, the weight of the first position, the number of second positions, and the weight of the second position.

[0199] Specifically, the first number of positions includes both urban motorcycle patrol positions not allocated using the total scale value layout and urban motorcycle patrol positions allocated using the total scale value layout. The second position coverage includes both suburban motorcycle patrol positions not allocated using the total scale value layout and suburban motorcycle patrol positions allocated using the total scale value layout. The second allocation coefficient is obtained based on the number of urban motorcycle patrol positions not allocated using the total scale value layout, the number of urban motorcycle patrol positions allocated using the total scale value layout, the number of suburban motorcycle patrol positions not allocated using the total scale value layout, the number of suburban motorcycle patrol positions allocated using the total scale value layout, the first position weight, and the second position weight.

[0200] In an optional example, the motorcycle police structure setting coefficient, i.e., the second configuration coefficient, can be obtained based on the number of motorcycle police positions in urban areas (i.e., the first number of positions), the weight of motorcycle police positions in urban areas (i.e., the first position weight), which can be set to 0.6, the number of motorcycle police positions in suburban areas (i.e., the second number of positions), and the weight of motorcycle police positions in suburban areas (i.e., the second position weight), which can be set to 0.4. The specific formula is as follows:

[0201]

[0202] Where S is the motorcycle cavalry structure setting coefficient, i.e., the second configuration coefficient; s1 is the number of motorcycle cavalry positions in urban areas that are not laid out using the total scale value; s2 is the number of motorcycle cavalry positions in suburban areas that are not laid out using the total scale value; s'1 is the number of motorcycle cavalry positions in urban areas that are laid out using the total scale value; s'2 is the number of motorcycle cavalry positions in suburban areas that are laid out using the total scale value; k1 is the weight of motorcycle cavalry positions in urban areas; and k2 is the weight of motorcycle cavalry positions in suburban areas.

[0203] Step 430: Obtain the third configuration coefficient based on the number of the first team, the number of the first vehicle, the number of the first equipment, the number of the second team, the number of the second vehicle, and the number of the second equipment.

[0204] Specifically, in an optional example, the first number of teams, the first number of vehicles, and the first number of equipment respectively include the number of cavalry urban teams, cavalry urban vehicles, and cavalry urban equipment that are not deployed using the total scale value, and the number of cavalry urban teams, cavalry urban vehicles, and cavalry urban equipment that are deployed using the total scale value; the second number of teams, the second number of vehicles, and the second number of equipment respectively include the number of cavalry suburban teams, cavalry suburban vehicles, and cavalry suburban equipment that are not deployed using the total scale value, and the number of cavalry suburban teams, cavalry suburban vehicles, and cavalry suburban equipment that are deployed using the total scale value. The team matching coefficient, also known as the third configuration coefficient, is obtained based on the number of cavalry units, vehicles, and equipment deployed in urban areas without using the total scale value; the number of cavalry units, vehicles, and equipment deployed in urban areas using the total scale value; the number of cavalry units, vehicles, and equipment deployed in suburban areas without using the total scale value; and the number of cavalry units, vehicles, and equipment deployed in suburban areas using the total scale value. The specific formula is as follows:

[0205]

[0206] Where R is the team matching coefficient, i.e. the third configuration coefficient, R1 is the cavalry team matching index, R2 is the cavalry vehicle matching index, R3 is the cavalry equipment matching index, r1 is the number of cavalry urban teams not deployed using the total scale value, r2 is the number of cavalry urban vehicles not deployed using the total scale value, r3 is the number of cavalry urban equipment not deployed using the total scale value, r'1 is the number of cavalry urban teams deployed using the total scale value, r'2 is the number of cavalry urban vehicles deployed using the total scale value, and r'3 is the number of cavalry urban equipment deployed using the total scale value.

[0207] Step 440: Obtain the performance index based on the preset first coefficient, preset second coefficient, first configuration coefficient, second configuration coefficient, and third configuration coefficient.

[0208] Specifically, in an optional example, a duty dynamic coefficient is set, namely a first preset coefficient and a second preset coefficient. The efficiency index is obtained based on the first preset coefficient, the second preset coefficient, the first configuration coefficient, the second configuration coefficient, and the third configuration coefficient. The specific formula is as follows:

[0209] E = ηCSDR (Formula Thirty-Six)

[0210] Wherein, E is the Iron Cavalry Efficiency Index, η is the Second Preset Coefficient, C is the Iron Cavalry Police Post Layout Coefficient (i.e., the First Matching Coefficient), S is the Iron Cavalry Structure Setting Coefficient (i.e., the Second Configuration Coefficient), D is the Duty Dynamic Coefficient (i.e., the Preset First Coefficient), and R is the Team Matching Coefficient (i.e., the Third Configuration Coefficient).

[0211] It should be noted that steps 410, 420, and 430 have no specific order and can be performed separately or simultaneously, depending on the actual situation.

[0212] This approach, which uses parameters that significantly impact performance such as the number of positions and job coverage rate, can make the evaluation results more accurate and reliable.

[0213] Optionally, after obtaining the total size of the target region based on the theoretical size of the region and a preset dynamic change coefficient, the method further includes:

[0214] Collect business parameter information for the target area, where the business parameter information is the business parameter information generated by the area configured using the total scale value;

[0215] The efficiency index is dynamically adjusted based on business parameter information.

[0216] In an optional example, from a business perspective, business parameter information generated by regions configured with a total scale value can be collected, including information such as police visibility rate, response rate, and coverage rate. The efficiency index can be dynamically adjusted based on the business parameter information to improve efficiency. The specific formula is as follows:

[0217]

[0218] Where E is the Iron Cavalry Efficiency Index, λ is the Iron Cavalry Police Efficiency Coefficient, l is the Iron Cavalry Police Visibility Rate, m is the Iron Cavalry Response Rate, n is the Iron Cavalry Post Coverage Rate, P is the Iron Cavalry's Average Monthly Total Number of Police Calls and Responses, Q is the Iron Cavalry's Average Monthly Total Law Enforcement Volume, t is the Iron Cavalry's Average Police Call and Response Time, and σ is the Iron Cavalry's Repeat Alarm Rate.

[0219] This method allows for performance evaluation from a business perspective. Performance can be adjusted by modifying business parameters, thereby improving overall efficiency.

[0220] The above are embodiments of the regional population size calculation method provided in this application. Other embodiments of the regional population size calculation method provided in this application will be described below. Please refer to the following for details.

[0221] Figure 5 An embodiment of the present invention provides a regional population size calculation device, the device comprising:

[0222] The acquisition module 501 is used to acquire the performance parameters corresponding to each type of performance in the i-th level region of the target region, the preset first-level region coefficient corresponding to the target region, the number of people in each i-th level region of multiple sample regions, the performance measurement scale value corresponding to each type of performance in each i-th level region of multiple sample regions, and the preset dynamic change coefficient corresponding to the target region, wherein the number of sample regions is greater than or equal to the number of performance categories.

[0223] The determining module 502 is used to determine the performance scale value of the first type of performance based on the performance parameter corresponding to the first type of performance in the i-th level region of the target region, wherein the first type of performance is any type of performance in each type of performance in the i-th level region;

[0224] The processing module 503 is used to obtain the performance weight of each type of performance in the i-th level region of the target region based on the number of people in the i-th level region of multiple sample regions and the performance measurement scale value corresponding to each type of performance in the i-th level region; to obtain the theoretical scale value of the target region based on the performance scale value of all performances in the target region, the performance weight of each type of performance in the target region, and the preset first-level region coefficient; and to obtain the total scale value of the target region based on the theoretical scale value of the region and the preset dynamic change coefficient, wherein the i-th level region is any level region among all regions, and i is a positive integer.

[0225] Optionally, the device may also include: a linear fitting module 504;

[0226] The linear fitting module 504 is used to perform linear fitting of the number of people in the i-th level region of multiple sample regions with the performance measurement scale value corresponding to each type of performance in the i-th level region using the least squares method, so as to obtain the performance weight of each type of performance in the i-th level region of the target region.

[0227] Optionally, the device may also include:

[0228] The processing module 503 is further configured to obtain the scale value of the first-level region in the target region based on each performance scale value of the first-level region, the performance weight corresponding to each performance scale value of the first-level region, and the preset first-level region coefficient; obtain the region scale value corresponding to the j-th region based on each performance scale value corresponding to the j-th region in other regions and the performance weight corresponding to each performance scale value of the j-th region, where the j-th region is any region in other regions and j is a positive integer; and obtain the theoretical region scale value of the target region based on the scale value of the first-level region and the region scale value corresponding to each region in other regions besides the first-level region.

[0229] Optionally, the device may also include: a data acquisition module 505;

[0230] The acquisition module 505 is used to acquire first configuration parameter information, wherein the first configuration parameter information is parameter information generated in areas not configured using the total scale value; and to acquire second configuration parameter information, wherein the second configuration parameter information is parameter information generated in areas configured using the total scale value;

[0231] The processing module 503 is also used to obtain the performance index of the target area based on the first configuration parameter information, the second configuration parameter information, the preset first configuration coefficient and the preset second configuration coefficient, so as to evaluate the performance of the target area based on the performance index.

[0232] Optionally, the device may also include:

[0233] The processing module 503 is also used to obtain a first configuration coefficient based on the first job coverage rate, the first job weight coefficient, the second job coverage rate, and the second job weight coefficient; to obtain a second configuration coefficient based on the number of first jobs, the first job weight, the number of second jobs, and the second job weight; to obtain a third configuration coefficient based on the number of first teams, the number of first vehicles, the number of first equipment, the number of second teams, the number of second vehicles, and the number of second equipment; and to obtain an efficiency index based on the preset first coefficient, the preset second coefficient, the first configuration coefficient, the second configuration coefficient, and the third configuration coefficient.

[0234] Optionally, the device may also include: an adjustment module 506;

[0235] The acquisition module 505 is also used to acquire business parameter information of the target area, wherein the business parameter information is the business parameter information generated by the area configured with the total scale value;

[0236] The adjustment module 506 is used to dynamically adjust the efficiency index based on business parameter information.

[0237] The functions performed by each component in the regional population size calculation device provided in this embodiment have been described in detail in any of the above method embodiments, and therefore will not be repeated here.

[0238] This invention provides a regional population size calculation device, which acquires the performance parameters corresponding to each type of performance in the i-th level region of the target region, the preset first-level region coefficient corresponding to the target region, the number of people in each i-th level region of multiple sample regions, the performance calculation scale value corresponding to each type of performance in each i-th level region of multiple sample regions, and the preset dynamic change coefficient corresponding to the target region, wherein the number of sample regions is greater than or equal to the number of performance categories.

[0239] The performance scale value of the first type of performance is determined based on the performance parameter corresponding to the first type of performance in the i-th level region of the target region, wherein the first type of performance is any type of performance in each type of performance in the i-th level region.

[0240] Based on the number of people in the i-th level region of multiple sample regions, and the performance measurement scale value corresponding to each type of performance in the i-th level region, obtain the performance weight of each type of performance in the i-th level region of the target region.

[0241] Based on the performance scale values ​​of all effective functions in the target area, the performance weight of each type of effectiveness in the target area, and the preset first-level area coefficient, the theoretical size value of the target area is obtained.

[0242] Based on the theoretical scale value of the region and the preset dynamic change coefficient, the total scale value of the target region is obtained, where the i-th level region is any level region among all regions, and i is a positive integer.

[0243] This method divides the target area into multiple levels and calculates the performance value of each category in each level. Based on the performance value of each category in each level, the value of each level in the target area is obtained, and then the total size of the target area is calculated. The total size can be calculated from the perspective of performance, which is closer to actual needs and the calculation data is more accurate.

[0244] like Figure 6 As shown, this application provides an electronic device including a processor 111, a communication interface 112, a memory 113, and a communication bus 114, wherein the processor 111, the communication interface 112, and the memory 113 communicate with each other through the communication bus 114.

[0245] Memory 113 is used to store computer programs;

[0246] In one embodiment of this application, when the processor 111 executes the program stored in the memory 113, it implements the regional population size calculation method provided in any of the foregoing method embodiments, including:

[0247] Obtain the performance parameters corresponding to each type of performance in the i-th level region of the target region, the preset first-level region coefficient corresponding to the target region, the number of people in each i-th level region of multiple sample regions, the performance measurement scale value corresponding to each type of performance in each i-th level region of multiple sample regions, and the preset dynamic change coefficient corresponding to the target region. The number of sample regions is greater than or equal to the number of performance categories.

[0248] The performance scale value of the first type of performance is determined based on the performance parameter corresponding to the first type of performance in the i-th level region of the target region, wherein the first type of performance is any type of performance in each type of performance in the i-th level region.

[0249] Based on the number of people in the i-th level region of multiple sample regions, and the performance measurement scale value corresponding to each type of performance in the i-th level region, obtain the performance weight of each type of performance in the i-th level region of the target region.

[0250] Based on the performance scale values ​​of all effective functions in the target area, the performance weight of each type of effectiveness in the target area, and the preset first-level area coefficient, the theoretical size value of the target area is obtained.

[0251] Based on the theoretical scale value of the region and the preset dynamic change coefficient, the total scale value of the target region is obtained, where the i-th level region is any level region among all regions, and i is a positive integer.

[0252] Optionally, the number of people in the region is the number of people in the pre-selected sample regions; based on the number of people in the i-th level region among multiple sample regions, and the performance measurement scale value corresponding to each type of performance in the i-th level region, the performance weight of each type of performance in the target region is obtained, including:

[0253] The least squares method is used to linearly fit the population of the i-th level region in multiple sample regions with the performance measurement scale value corresponding to each type of performance in the i-th level region, so as to obtain the performance weight of each type of performance in the i-th level region of the target region.

[0254] Optionally, the performance scale value includes the performance scale value of each primary region, and the performance scale value corresponding to each region in other regions besides the primary region. The performance weight includes the performance weight corresponding to each performance scale value in the primary region, and the performance weight corresponding to each performance scale value in other regions. Based on the performance scale values ​​of all effective functions in the target region, the performance weight corresponding to each type of performance in the target region, and the preset primary region coefficient, the theoretical scale value of the target region is obtained, including:

[0255] The first-level region scale value in the target region is obtained based on each efficiency scale value of the first-level region, the efficiency weight corresponding to each efficiency scale value of the first-level region, and the preset first-level region coefficient.

[0256] Based on each performance scale value corresponding to the j-th region in the other regions, and the performance weight corresponding to each performance scale value in the j-th region, obtain the region scale value corresponding to the j-th region, where the j-th region is any region in the other regions, and j is a positive integer;

[0257] The theoretical size of the target region is obtained by using the size value of the primary region and the size value of each region other than the primary region.

[0258] Optionally, after obtaining the total size of the target region based on the theoretical size of the region and a preset dynamic change coefficient, the method further includes:

[0259] Collect first configuration parameter information, wherein the first configuration parameter information is the parameter information generated by the region that is not configured using the total scale value;

[0260] Collect second configuration parameter information, wherein the second configuration parameter information is the parameter information generated by the region configured using the total scale value;

[0261] The performance index of the target area is obtained based on the first configuration parameter information, the second configuration parameter information, the preset first configuration coefficient, and the preset second configuration coefficient, so as to evaluate the performance of the target area based on the performance index.

[0262] Optionally, the first configuration parameter information includes the first job coverage rate, the first job weight coefficient, the number of first jobs, the first job weight, the number of first teams, the number of first vehicles, and the number of first equipment; the second configuration parameter information includes the second job coverage rate, the second job weight coefficient, the number of second jobs, the second job weight, the number of second teams, the number of second vehicles, and the number of second equipment. Based on the first configuration parameter information, the second configuration parameter information, the preset first coefficient, and the preset second coefficient, the efficiency index of the target area is obtained, specifically including:

[0263] The first allocation coefficient is obtained based on the coverage rate of the first position, the weight coefficient of the first position, the coverage rate of the second position, and the weight coefficient of the second position.

[0264] The second allocation coefficient is obtained based on the number of first positions, the weight of the first position, the number of second positions, and the weight of the second position;

[0265] The third configuration coefficient is obtained based on the number of the first team, the number of the first vehicles, the number of the first equipment, the number of the second team, the number of the second vehicles, and the number of the second equipment.

[0266] The performance index is obtained based on the preset first coefficient, preset second coefficient, first configuration coefficient, second configuration coefficient, and third configuration coefficient.

[0267] Optionally, after obtaining the total size of the target region based on the theoretical size of the region and a preset dynamic change coefficient, the method further includes:

[0268] Collect business parameter information for the target area, where the business parameter information is the business parameter information generated by the area configured using the total scale value;

[0269] The efficiency index is dynamically adjusted based on business parameter information.

[0270] This application also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the regional population size calculation method provided in any of the foregoing method embodiments.

[0271] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes the element.

[0272] The above are merely specific embodiments of the present invention, enabling those skilled in the art to understand or implement the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A method for calculating the population size of a region, characterized in that, The method includes: The system obtains the performance parameters corresponding to each type of performance in the i-th level region of the target region, the preset first-level region coefficient corresponding to the target region, the number of people in each i-th level region of multiple sample regions, the performance measurement scale value corresponding to each type of performance in each i-th level region of the multiple sample regions, and the preset dynamic change coefficient corresponding to the target region, wherein the number of sample regions is greater than or equal to the number of performance categories. The performance scale value of the first type of performance is determined based on the performance parameter corresponding to the first type of performance in the i-th level region of the target region, wherein the first type of performance is any type of performance in each type of performance in the i-th level region; Based on the number of people in the i-th level region among multiple sample regions, and the performance measurement scale value corresponding to each type of performance in the i-th level region, obtain the performance weight of each type of performance in the i-th level region of the target region; Based on the performance scale values ​​of all effective functions in the target region, the performance weight of each type of performance in the target region, and the preset first-level region coefficient, the theoretical size value of the target region is obtained. Based on the theoretical size value of the region and the preset dynamic change coefficient, the total size value of the target region is obtained, wherein the i-th level region is any level region among all regions, and i is a positive integer; The population in the region refers to the population in the pre-selected sample region; the step of obtaining the performance weight of each type of performance in the i-th level region of the target region based on the population in the i-th level region of multiple sample regions and the performance measurement scale value corresponding to each type of performance in the i-th level region includes: The least squares method is used to linearly fit the number of people in the i-th level region of multiple sample regions with the performance measurement scale value corresponding to each type of performance in the i-th level region, so as to obtain the performance weight of each type of performance in the i-th level region of the target region. After obtaining the total size of the target region based on the theoretical size of the region and the preset dynamic change coefficient, the method further includes: Collect first configuration parameter information, wherein the first configuration parameter information is parameter information generated in regions that are not configured using the total scale value; Collect second configuration parameter information, wherein the second configuration parameter information is parameter information generated by the region configured using the total scale value; The efficiency index of the target region is obtained based on the first configuration parameter information, the second configuration parameter information, the preset first configuration coefficient, and the preset second configuration coefficient, so as to evaluate the efficiency of the target region based on the efficiency index; The first configuration parameter information includes a first job coverage rate, a first job weight coefficient, a first number of jobs, a first job weight, a first number of teams, a first number of vehicles, and a first number of equipment. The second configuration parameter information includes a second job coverage rate, a second job weight coefficient, a second number of jobs, a second job weight, a second number of teams, a second number of vehicles, and a second number of equipment. The step of obtaining the efficiency index of the target area based on the first configuration parameter information, the second configuration parameter information, a preset first coefficient, and a preset second coefficient specifically includes: The first configuration coefficient is obtained based on the first job coverage rate, the first job weight coefficient, the second job coverage rate, and the second job weight coefficient. The second configuration coefficient is obtained based on the number of the first positions, the weight of the first position, the number of the second positions, and the weight of the second position. A third configuration coefficient is obtained based on the number of the first teams, the number of the first vehicles, the number of the first equipment, the number of the second teams, the number of the second vehicles, and the number of the second equipment; The performance index is obtained based on the preset first coefficient, the preset second coefficient, the first configuration coefficient, the second configuration coefficient, and the third configuration coefficient.

2. The method according to claim 1, characterized in that, The performance scale value includes each performance scale value of the primary region, and the performance scale value corresponding to each region in other regions besides the primary region. The performance weight includes the performance weight corresponding to each performance scale value of the primary region, and the performance weight corresponding to each performance scale value in other regions. The step of obtaining the theoretical regional scale value of the target region based on the performance scale values ​​of all effective performances in the target region, the performance weight corresponding to each type of performance in the target region, and a preset primary region coefficient includes: The primary region scale value in the target region is obtained based on each efficiency scale value of the primary region, the efficiency weight corresponding to each efficiency scale value of the primary region, and the preset primary region coefficient. Based on each performance scale value corresponding to the j-th region in the other regions, and the performance weight corresponding to each performance scale value in the j-th region, the region scale value corresponding to the j-th region is obtained, wherein the j-th region is any one of the other regions, and j is a positive integer; The theoretical size of the target region is obtained based on the size value of the primary region and the size value of each region other than the primary region.

3. The method according to claim 1, characterized in that, After obtaining the total size of the target region based on the theoretical size of the region and the preset dynamic change coefficient, the method further includes: Collect service parameter information of the target area, wherein the service parameter information is the service parameter information generated by the area configured using the total scale value; The efficiency index is dynamically adjusted based on the business parameter information.

4. A device for calculating the population size of a region, characterized in that, The device includes: The acquisition module is used to acquire the performance parameters corresponding to each type of performance in the i-th level region of the target region, the preset first-level region coefficient corresponding to the target region, the number of people in each i-th level region of multiple sample regions, the performance measurement scale value corresponding to each type of performance in each i-th level region of the multiple sample regions, and the preset dynamic change coefficient corresponding to the target region, wherein the number of sample regions is greater than or equal to the number of performance categories. The determining module is configured to determine the performance scale value of the first type of performance based on the performance parameter corresponding to the first type of performance in the i-th level region of the target region, wherein the first type of performance is any one of the performance types in each type of performance in the i-th level region; The processing module is configured to: obtain the performance weight of each type of performance in the i-th level region of the target region based on the number of people in the i-th level region among multiple sample regions and the performance measurement scale value corresponding to each type of performance in the i-th level region; obtain the theoretical scale value of the target region based on the performance scale value of all performances in the target region, the performance weight of each type of performance in the target region, and a preset first-level region coefficient; and obtain the total scale value of the target region based on the theoretical scale value of the region and the preset dynamic change coefficient, wherein the i-th level region is any first-level region among all regions, and i is a positive integer; The device further includes: The linear fitting module is used to perform linear fitting of the number of people in the i-th level region of multiple sample regions with the performance measurement scale value corresponding to each type of performance in the i-th level region using the least squares method, so as to obtain the performance weight of each type of performance in the i-th level region of the target region. The device further includes: The acquisition module is used to acquire first configuration parameter information, wherein the first configuration parameter information is parameter information generated by regions that are not configured using the total scale value; and to acquire second configuration parameter information, wherein the second configuration parameter information is parameter information generated by regions that are configured using the total scale value. The processing module is further configured to obtain the performance index of the target region based on the first configuration parameter information, the second configuration parameter information, the preset first configuration coefficient, and the preset second configuration coefficient, so as to evaluate the performance of the target region based on the performance index; The first configuration parameter information includes the first job coverage rate, the first job weight coefficient, the number of first jobs, the first job weight, the number of first teams, the number of first vehicles, and the number of first equipment. The second configuration parameter information includes the second job coverage rate, the second job weight coefficient, the number of second jobs, the second job weight, the number of second teams, the number of second vehicles, and the number of second equipment. The processing module is further configured to obtain a first configuration coefficient based on the first job coverage rate, the first job weight coefficient, the second job coverage rate, and the second job weight coefficient; obtain a second configuration coefficient based on the first number of jobs, the first job weight, the second number of jobs, and the second job weight; obtain a third configuration coefficient based on the first number of teams, the first number of vehicles, the first number of equipment, the second number of teams, the second number of vehicles, and the second number of equipment; and obtain the efficiency index based on the preset first coefficient, the preset second coefficient, the first configuration coefficient, the second configuration coefficient, and the third configuration coefficient.

5. An electronic device, characterized in that, It includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; The memory is used to store computer programs; When the processor executes the program stored in the memory, it implements the steps of the regional population size calculation method according to any one of claims 1-3.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the regional population size calculation method as described in any one of claims 1-3.

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