Regional public service facility collaborative construction planning method, device and equipment and storage medium

Abstract

The invention relates to the technical field of public service facility construction planning, and discloses a regional public service facility collaborative construction planning method, device and equipment and a storage medium, and the method comprises the steps: determining the public service facility construction demand change information of each sub-region in a target planning time period through predicting the population trend change information of a target region; basic road construction planning information of the target area is inquired, the construction capability of each type of public service facility is estimated, and the facility radiation range of the candidate construction point is updated based on construction of each basic road; and selecting a construction position and a construction period of each type of public service facility from a plurality of candidate construction points of each type of public service facility in the target area to solve a public service facility collaborative construction strategy, and timely adjusting the public service facility collaborative construction strategy to ensure that resident demands are continuously met. According to the method, the problem of excessive actual public service facility construction is avoided or relieved as much as possible under the condition that the construction planning rationality and the demand matching degree are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of public service facility construction planning, and in particular to a method, device, equipment and storage medium for collaborative construction planning of regional public service facilities. Background Art

[0002] Public service facilities, or public service facilities, refer to various public welfare or quasi-public welfare facilities that are built by the government or with the participation of social forces to meet the basic living needs of the public, safeguard the public interest, and support social and economic development. The construction planning of public service facilities requires systematic and forward-looking arrangements for the type, scale, layout, construction schedule, and funding of public service facilities based on higher-level requirements such as regional population size and structure, economic and social development goals, and land and space planning. Its core purpose is to optimize resource allocation, ensure that the supply and demand of facilities are matched, the layout is reasonable, and the functions are complete, ultimately achieving the accessibility, fairness, and efficiency of public services.

[0003] The traditional public service facility construction planning method has the following problems in some application scenarios: (1) The traditional construction planning method does not take into account the dynamic growth of the actual urban population, resulting in a mismatch between the planned capacity of public service facilities and the actual population demand during implementation; (2) The traditional construction planning method uses the overall region as the planning unit for public service facility site selection and layout, without taking into account the population differences and radiation range differences of different sub-regions in the overall region, resulting in surplus or shortage of public service facilities in some sub-regions, leading to problems such as low efficiency of public service facility configuration and over-construction; (3) In the initial stage of urbanization, the large amount of infrastructure road construction in the region will cause the radiation range of public service facilities in different locations to change frequently and significantly. If the coordinated construction effect of infrastructure roads and public service facilities is not taken into account, it will affect This affects the uniformity of public service deployment of public service facilities in the entire region and reduces the rationality of construction planning; (4) Due to the long construction period of public service facilities, in order to continuously meet the needs of residents within the region, the construction of public service facilities needs to ensure that residents have the number of public service facilities and the radiation range of public service facilities when the overall plan is not completed in the mid-term. However, the actual location of the public service facilities in the intermediate construction plan is often different from the optimal location of the public service facilities in the initial construction plan. This leads to the final number of public service facilities obtained through the public service facility construction plan that continuously meets the mid-term public service facility needs. It may be greater than the initial planned number, resulting in excessive construction of public service facilities in some sub-regions, increasing the expenditure burden. Traditional public service facility construction planning methods cannot solve or alleviate the impact of this problem.

[0004] Therefore, how to achieve intelligent and scientific planning of public service facility construction, consider the impact of basic road construction on the radiation range of public service facilities, and avoid or alleviate the problem of increased expenditure burden caused by excessive actual public service facility construction in order to continuously meet the needs of residents within the construction planning period while improving the rationality of construction planning and demand matching, is a technical problem that needs to be solved urgently. Summary of the Invention

[0005] The present invention provides a method, device, equipment and storage medium for collaborative construction planning of regional public service facilities, aiming to solve at least one of the above-mentioned technical problems.

[0006] To achieve the above objectives, the present invention provides a method for collaborative construction planning of regional public service facilities, comprising the following steps: Obtain the population change correlation feature set of the target area during the target planning period, and predict the population trend change information of the target area during the target planning period; Based on the population change data of different age structures in each sub-region in the population trend change information, and according to the pre-defined standard mapping relationship between population size segments and the number of public service facilities required, the change information of public service facility construction demand in each sub-region during the target planning period is determined; Querying basic road construction planning information of a target area during a target planning period, and extracting planning information of each basic road construction task in the basic road construction planning information; Based on the public service facility construction resources in the target area, the construction capacity of each type of public service facility is estimated. The planning information of each basic road construction task and the changing information of public service facility construction demand in each sub-area during the target planning period are considered. The public service facility construction demand gap in each planning cycle within the target planning period is used as a constraint condition. The matching degree of public service facility supply and demand at the end of the target planning period is used as the optimization target. An optimization algorithm is used to solve the public service facility collaborative construction strategy in the target area. Implement the coordinated construction of public service facilities in the target area during the target planning period based on the coordinated construction strategy for public service facilities, and update the population trend change information for subsequent planning periods at the end of each planning period; Based on the updated population trend change information and the current public service facility collaborative construction strategy, it is determined whether the target area meets the preset public service facility configuration requirements in the next planning cycle. If not, a new public service facility collaborative construction strategy is re-solved.

[0007] Optionally, the step of obtaining a population change correlation feature set of the target area during the target planning period and predicting population trend change information of the target area during the target planning period specifically includes: Obtain historical population structure data of the target area and external influence characteristics of the target area during the target planning period, and construct a set of population change correlation characteristics; Utilizing the external influence features in the population change correlation feature set, a hybrid model based on integrated time series and logistic growth is used to predict population trend changes in the target area, and to determine the population size of the target area in each planning cycle during the target planning period; Performing regression analysis using historical population structure data in the population change correlation feature set to determine the growth rate of each sub-region and calculate the population growth change weight of each sub-region; Based on the base year population and population structure age in historical population structure data, combined with the population of the target area in each planning period and the weight of population growth change in each sub-region, the population growth of each age group in each sub-region is calculated; The CSM model is introduced to conduct inference and prediction of the dynamic transfer of population in each age group in each sub-region, taking into account the birth rate, death rate, population growth and transfer between age groups, and obtain the population of each age group in each sub-region in each planning period; The target fitting method is used to integrate and adjust the population size of the target area in each planning cycle during the target planning period and the population size of each age group in each sub-area during each planning cycle, so as to obtain the population change data of different age structures in each sub-area of ​​the target area during the target planning period.

[0008] Optionally, based on the population change data of different age structures in each sub-region in the population trend change information, and in accordance with a pre-defined standard mapping relationship between population size segments and the number of public service facility demands, the steps of determining the change information of the public service facility construction demand in each sub-region during the target planning period specifically include: Obtaining a predefined standard mapping relationship between population size and segments of public service facility demand; wherein a set of population size segments for each age group in the standard mapping relationship corresponds to a set of public service facility demand within the radiation range of the corresponding public service facilities of different types; Based on the population change data of different age structures in each sub-region in the population trend change information and the standard mapping relationship, the public service facility construction demand change information of each sub-region in the target planning period is determined; wherein, the public service facility construction demand change information includes the number of public service facility demands for different types of public service facilities within the radiation range of the corresponding facilities in different planning cycles.

[0009] Optionally, the step of querying basic road construction planning information of the target area in the target planning period and extracting planning information of each basic road construction task in the basic road construction planning information specifically includes: Querying basic road construction planning information of a target area during a target planning period, and extracting task text of each basic road construction task in the basic road construction planning information; Natural language processing tools are used to perform text analysis and keyword extraction on the task text, extract the construction road route sub-areas and road construction time periods of each basic road construction task, and generate planning information for each basic road construction task.

[0010] Optionally, based on the public service facility construction resources in the target area, the construction capacity of each type of public service facility is estimated. Considering the planning information of each basic road construction task and the change information of the public service facility construction demand of each sub-area during the target planning period, the public service facility construction demand gap in each planning cycle during the target planning period is used as a constraint condition, and the public service facility supply and demand matching degree at the end of the target planning period is used as the optimization target. An optimization algorithm is used to solve the public service facility collaborative construction strategy steps in the target area, specifically including: Obtaining public service facility construction resources in the target area, allocating resources for the construction of each type of public service facility in the public service facility construction resources, and referring to the historical public service facility construction records in the target area, estimating the construction time and frequency of each type of public service facility in the target area; Considering the construction road sub-regions, road construction periods, and the public service facility demand for different types of public service facilities in the radiation range of the corresponding facilities in each sub-region during different planning cycles of the target planning period, the construction time and frequency of each type of public service facility in the target region are used as the principle of collaborative construction of public service facilities. Based on the update of the facility radiation range of the candidate construction point for the construction of each basic road, the construction location and construction period of each type of public service facility are selected from several candidate construction points of each type of public service facility in the target region to solve the collaborative construction strategy of public service facilities, so that the difference between the gap between the number of public service facilities configured in the radiation range of the corresponding facilities in each sub-region in each planning period and the number of corresponding public service facilities required meets the constraint conditions of the preset public service facility configuration requirements of the corresponding type of public service facilities, and the number of public service facilities configured in the last planning period meets the optimization goal of minimizing the excess difference with the number of public service facilities required. The optimization algorithm is used to solve the optimal construction point and construction time of each type of public service facility in the target region. Based on the optimal construction point and construction time of each type of public service facility in the target area, a collaborative construction strategy for public service facilities in the target area is generated.

[0011] Optionally, the steps of executing the coordinated construction of public service facilities in the target area during the target planning period according to the coordinated construction strategy of public service facilities and updating the population trend change information for the subsequent planning period at the end of each planning period include: Extract the optimal construction point and construction time for each type of public service facility in the target area in the public service facility collaborative construction strategy, and implement the public service facility collaborative construction in the target area during the target planning period; At the end of each planning cycle, the population change correlation feature set of the target area during the target planning period is re-obtained, the population trend change information of the target area during the target planning period is predicted, and the updated population trend change information of the subsequent planning cycle is obtained.

[0012] Optionally, based on the updated population trend change information and the current public service facility collaborative construction strategy, determine whether the target area meets the preset public service facility configuration requirements in the next planning cycle. If not, re-solve a new public service facility collaborative construction strategy, specifically including: Based on the updated population trend change information, determine whether the difference between the number of public service facilities configured within the corresponding facility radiation range and the number of corresponding public service facilities required in the next planning period when the target area implements the public service facility collaborative construction according to the current public service facility collaborative construction strategy meets the preset public service facility configuration requirements for the corresponding type of public service facilities; If so, the collaborative construction of public service facilities in the subsequent planning cycle will be carried out according to the current collaborative construction strategy of public service facilities. If not, the collaborative construction strategy of public service facilities in the target area will be re-solved according to the updated population trend change information, and the collaborative construction of public service facilities in the subsequent planning cycle will be carried out according to the new collaborative construction strategy of public service facilities.

[0013] In addition, in order to achieve the above-mentioned purpose, the present invention also provides a regional public service facility collaborative construction planning device, comprising: The prediction module is used to obtain the population change correlation feature set of the target area during the target planning period and predict the population trend change information of the target area during the target planning period; A determination module is used to determine the change information of the public service facility construction demand in each sub-region during the target planning period based on the population change data of different age structures in each sub-region in the population trend change information and according to the pre-defined standard mapping relationship between the population size segments and the number of public service facility demands; A query module is used to query the basic road construction planning information of the target area in the target planning period, and extract the planning information of each basic road construction task in the basic road construction planning information; The solution module is used to estimate the construction capacity of each type of public service facility based on the public service facility construction resources in the target area. It considers the planning information of each basic road construction task and the changing information of public service facility construction demand in each sub-area during the target planning period. It uses the gap in public service facility construction demand in each planning cycle within the target planning period as a constraint condition and the matching degree of public service facility supply and demand at the end of the target planning period as the optimization target. It uses an optimization algorithm to solve the coordinated construction strategy of public service facilities in the target area. The execution module is configured to execute the public service facility collaborative construction of the target region in a target planning period according to the public service facility collaborative construction strategy, and update the population trend change information of the subsequent planning period at the end of each planning period; The judgment module is configured to judge whether the target region meets the preset public service facility configuration requirement in the next planning period based on the updated population trend change information and the current public service facility collaborative construction strategy, and if not, solve a new public service facility collaborative construction strategy.

[0014] In addition, in order to achieve the above-mentioned purpose, the present application also provides a regional public service facility collaborative construction planning device, which comprises a memory, a processor and a regional public service facility collaborative construction planning program stored in the memory and executable on the processor, and the regional public service facility collaborative construction planning program realizes the steps of the regional public service facility collaborative construction planning method as described above when executed by the processor.

[0015] In addition, in order to achieve the above-mentioned purpose, the present application also provides a storage medium, which stores a regional public service facility collaborative construction planning program, and the regional public service facility collaborative construction planning program realizes the steps of the regional public service facility collaborative construction planning method as described above when executed by a processor.

[0016] The present application has the beneficial effects that a regional public service facility collaborative construction planning method, device, equipment and storage medium are provided, the population trend change information of a target region is predicted, the public service facility construction demand change information of each sub-region in a target planning period is determined, the basic road construction planning information of the target region is inquired and the construction capacity of each type of public service facility is estimated, the facility radiation range of the candidate construction point is updated based on the construction of each basic road, the construction position and construction period of each type of public service facility are selected from a plurality of candidate construction points of each type of public service facility in the target region to solve the public service facility collaborative construction strategy, and the public service facility collaborative construction strategy is adjusted in time to ensure that the demand of residents is continuously met. The present application can avoid or alleviate the problem of excessive actual public service facility construction as much as possible while improving the rationality of construction planning and the demand matching degree. BRIEF DESCRIPTION OF DRAWINGS

[0017] Figure 1 FIG. 1 is a structural schematic diagram of an embodiment of a regional public service facility collaborative construction planning device of the present application; Figure 2 FIG. 2 is a flowchart of an embodiment of a regional public service facility collaborative construction planning method of the present application; Figure 3 FIG. 3 is a structural block diagram of an embodiment of a regional public service facility collaborative construction planning device of the present application. DETAILED DESCRIPTION

[0018] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0019] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0020] like Figure 1 As shown, Figure 1 It is a structural diagram of an embodiment of the regional public service facility collaborative construction planning equipment of the present invention.

[0021] like Figure 1 As shown, the device may include: a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface). The memory 1005 may be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may optionally be a storage device independent of the aforementioned processor 1001.

[0022] Those skilled in the art will understand that Figure 1 The structure of the device shown in the figure does not constitute a limitation of the device, and the device may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0023] like Figure 1 As shown, the memory 1005 as a computer storage medium may include an operating system, a network communication module, a user interface module, and a regional public service facility collaborative construction planning program.

[0024] exist Figure 1 In the terminal shown, the network interface 1004 is mainly used to connect to the backend server and communicate data with the backend server; the user interface 1003 is mainly used to connect to the client (user end) and communicate data with the client; and the processor 1001 can be used to call the regional public service facility collaborative construction planning program stored in the memory 1005 and perform the following operations: Based on the population change data of different age structures in each sub-region in the population trend change information, and according to the pre-defined standard mapping relationship between population size segments and the number of public service facilities required, the change information of public service facility construction demand in each sub-region during the target planning period is determined; Querying basic road construction planning information of a target area during a target planning period, and extracting planning information of each basic road construction task in the basic road construction planning information; Based on the public service facility construction resources in the target area, the construction capacity of each type of public service facility is estimated. The planning information of each basic road construction task and the changing information of public service facility construction demand in each sub-area during the target planning period are considered. The public service facility construction demand gap in each planning cycle within the target planning period is used as a constraint condition. The matching degree of public service facility supply and demand at the end of the target planning period is used as the optimization target. An optimization algorithm is used to solve the public service facility collaborative construction strategy in the target area. Implement the coordinated construction of public service facilities in the target area during the target planning period based on the coordinated construction strategy for public service facilities, and update the population trend change information for subsequent planning periods at the end of each planning period; Based on the updated population trend change information and the current public service facility collaborative construction strategy, it is determined whether the target area meets the preset public service facility configuration requirements in the next planning cycle. If not, a new public service facility collaborative construction strategy is re-solved.

[0025] The specific embodiments of the present invention applied to the device are basically the same as the embodiments of the following application area public service facility collaborative construction planning method, and will not be described in detail here.

[0026] The embodiment of the present invention provides a method for collaborative construction planning of regional public service facilities, referring to Figure 2 , Figure 2 It is a flowchart of an embodiment of the method for collaborative construction planning of regional public service facilities of the present invention.

[0027] In this embodiment, a method for collaborative construction planning of regional public service facilities specifically includes: S100: Obtaining a population change correlation feature set of a target area during a target planning period, and predicting population trend change information of the target area during the target planning period; S200: Based on the population change data of different age structures in each sub-region in the population trend change information, and according to a pre-defined standard mapping relationship between population size segments and public service facility demand, determine the change information of public service facility construction demand in each sub-region during the target planning period; S300: Querying basic road construction planning information of a target area in a target planning period, and extracting planning information of each basic road construction task in the basic road construction planning information; S400: According to the public service facility construction resources of the target region, estimate the construction capacity of each type of public service facility, consider the planning information of each basic road construction task and the public service facility construction demand change information of each sub-region in the target planning period, take the public service facility construction demand gap of each planning period in the target planning period as the constraint condition, take the public service facility supply-demand matching degree at the end of the target planning period as the optimization target, and solve the public service facility collaborative construction strategy of the target region by using an optimization algorithm; S500: According to the public service facility collaborative construction strategy, execute the public service facility collaborative construction of the target region in the target planning period, and update the population trend change information of the subsequent planning period at the end of each planning period; S600: Based on the updated population trend change information and the current public service facility collaborative construction strategy, determine whether the target region meets the preset public service facility configuration requirement in the next planning period, if not, solve a new public service facility collaborative construction strategy.

[0028] It should be noted that the traditional public service facility construction planning method has the following problems in some application scenarios: (1) The traditional construction planning method does not consider the dynamic growth of the actual population of the city, resulting in a mismatch between the public service facility planning capacity and the actual population demand during implementation; (2) The traditional construction planning method selects the overall region as the planning unit for public service facility site selection and layout, without considering the population differences and public service facility radiation range differences in different sub-regions in the overall region, resulting in a part of the sub-region public service facility surplus or gap, which brings the problems of low public service facility configuration efficiency and excessive construction; (3) In the initial stage of urbanization, a large number of basic road construction in the region will cause frequent and significant changes in the radiation range of public service facilities at different locations. If the collaborative construction effect of basic roads and public service facilities is not considered, it will affect the uniformity of public service deployment in the overall region, and reduce the rationality of construction planning; (4) Due to the long construction period of public service facilities, in order to continuously meet the needs of residents within the region, the construction of public service facilities needs to ensure the number of public service facilities and the demand for public service facility radiation range of residents in the middle of the overall planning period. The actual site selection of the intermediate construction planning public service facility is often different from the best site selection of the initial construction planning public service facility. This results in the final public service facility construction quantity obtained by continuously meeting the intermediate public service facility demand of the public service facility construction planning may be greater than the initial planning quantity, resulting in excessive construction of public service facilities in some sub-regions, increasing the burden of expenditure, and the traditional public service facility construction planning method cannot solve or alleviate the impact of this problem.

[0029] In order to solve the above problems, this embodiment predicts the population trend change information of the target area, determines the change information of the public service facility construction demand of each sub-area in the target planning period, queries the basic road construction planning information of the target area and estimates the construction capacity of each type of public service facility, updates the facility radiation range of the candidate construction point based on the construction of each basic road, selects the construction location and construction period of each type of public service facility from several candidate construction points of each type of public service facility in the target area, solves the public service facility collaborative construction strategy, and adjusts the public service facility collaborative construction strategy in a timely manner to ensure that residents' needs are continuously met. In this way, the problem of excessive construction of actual public service facilities can be avoided or alleviated as much as possible while improving the rationality of construction planning and demand matching.

[0030] In a preferred embodiment, the steps of obtaining a population change correlation feature set of a target area during a target planning period and predicting population trend change information of the target area during the target planning period specifically include: S110: Obtain historical population structure data of the target area and external influence characteristics of the target area during the target planning period, and construct a population change correlation feature set; S120: using the external influence features in the population change correlation feature set, using a hybrid model based on comprehensive time series and logistic growth to predict population trend changes in the target area, and determining the population size of the target area in each planning cycle during the target planning period; S130: Performing regression analysis using the historical population structure data in the population change correlation feature set to determine the growth rate of each sub-region and calculate the population growth change weight of each sub-region; S140: Based on the base year population and population structure age in the historical population structure data, combined with the population of the target area in each planning period and the weight of the population growth change of each sub-area, calculate the population growth of each age group in each sub-area; S150: Introduce the CSM model to conduct inference and prediction of the dynamic transfer of population in each age group in each sub-region, taking into account the birth rate, death rate, population growth and transfer between age groups, and obtain the population of each age group in each sub-region in each planning period; S160: The target fitting method is used to integrate and adjust the population size of the target area in each planning cycle during the target planning period and the population size of each age group in each sub-area during each planning cycle, so as to obtain the population change data of different age structures in each sub-area of ​​the target area during the target planning period.

[0031] In this embodiment, the following principles are used to predict the population trend change information of the target area within the target planning period: Step 1: Collect historical population data for the target area and simultaneously obtain the actual population structure data for a specific year as the base year for population structure prediction. On this basis, integrate all relevant population data and various external variable data (such as political and economic data) to form a complete multi-source database.

[0032] Step 2: Build a dynamically adjusted hybrid model. The specific method involves constructing a hybrid model that combines a time series model with a logistic growth model. The core approach involves fitting and forecasting the historical actual population data of administrative districts using the logistic growth model. The logistic growth forecast results serve as the upper limit function of the time series model. External factors such as policy factors and GDP factors are incorporated into the time series, allowing short-term fluctuations to be dynamically balanced within saturation limits, thus balancing long-term trends with short-term fluctuations.

[0033] Among them, the basic principle expression of the hybrid model is: ; Where, is the total population of the target area, Represents a logistic growth function that constrains growth, used to simulate population at maximum carrying capacity The natural growth process under the condition of , changes with time t, k is the growth rate parameter, is the turning point, indicating the time point when growth accelerates to decelerate. is the cyclical component, which indicates the impact of cyclical fluctuations on the population. Indicates the influence of external factors, is the error term. Step 3: Based on the predicted total population size of the target area, obtain the total population growth each year in the future: Through regression analysis of historical data, the growth rate (i.e. growth coefficient) of each sub-region is obtained. , then the sub-region unit weight Defined as: Where, Indicates the total number of objects, is the sum of the growth rates of all objects.

[0034] The population growth of each age group is divided by the base year population structure distribution ratio and the population growth of all sub-regions. For example, the population structure age group is divided as follows: ; The total population in the base year is: ; Population growth by age group in the sub-region The calculation method is: Where, The age group in year t of the planning unit The growth of population, the weight of the tth sub-region, the population growth in the tth year, the population distribution ratio of the age group in the base year.

[0035] Step four: introduce each sub-region into the Cohort Survival Model (CSM) to subdivide and deduce the population structure of all sub-regions in the target region. The birth rate, death rate, population growth, and transfer between age groups are taken as survival cohort elements to predict the dynamic transfer of the population in each age group.

[0036] wherein the sub-region CSM model deduces and predicts: ; in the formula, represents the population in the tth year of the age group, is the death rate, represents the death rate of the age group, and are migration coefficients, represents the migration coefficient from the current age group to the next age group, represents the migration coefficient from the previous age group to the current age group , and represent the previous and next age groups of the age group , represents the addition of new born population only when a is 0-2 years old, represents the total population born in the tth year, is an indicator function that is 1 only when , otherwise 0, used to control the allocation of the birth population only to the age group of 0-2 years old. Step five: integrate and fine-tune the results of the mixed model prediction and the CSM using the target fitting method to finally obtain the population trend change information (such as the annual population size and age group structure distribution) in each planning period within the target planning period. In the preferred embodiment, based on the population change data of different age structures in each sub-region in the population trend change information, the construction demand change information of public service facilities in each sub-region in the target planning period is determined according to the pre-defined standard mapping relationship between the population quantity section and the quantity of public service facilities demand. The specific steps include:

[0037] ​​​​S210: Obtain a standard mapping relationship between a population quantity and a public service facility demand quantity section, wherein a set of population quantity sections of each age group corresponds to a set of public service facility demand quantities in a corresponding facility radiation range of different types of public service facilities in the standard mapping relationship; S220: Determine public service facility construction demand change information of each sub-region in a target planning period based on population change data of different age structures in each sub-region in the population trend change information and the standard mapping relationship, wherein the public service facility construction demand change information includes public service facility demand quantities of different types of public service facilities in the corresponding facility radiation range in different planning periods.

[0038] In this embodiment, the standard mapping relationship between the population quantity and the public service facility demand quantity section is pre-defined, that is, a set of population quantity sections of each age group corresponds to a set of public service facility demand quantities in a corresponding facility radiation range of different types of public service facilities, so as to aggregate the public service facility demand quantities of each age group in the corresponding radiation range of different types of public service facilities in different planning periods in the target planning period, and obtain the public service facility demand quantities of different types of public service facilities in the corresponding facility radiation range in different planning periods of each sub-region in the target planning period.

[0039] It should be noted that the facility radiation range of different types of public service facilities is usually different, and the facility radiation range refers to the area that can be reached by the type of public service facility in a preset travel time.

[0040] In the preferred embodiment, the target area is queried for basic road construction planning information in a target planning period, and the planning information of each basic road construction task in the basic road construction planning information is extracted, specifically including: S310: Query the basic road construction planning information of the target region in the target planning period, and extract the task text of each basic road construction task in the basic road construction planning information; S320: Perform text analysis processing and keyword extraction processing on the task text by using a natural language processing tool, extract the construction road path sub-region and road construction period of each basic road construction task, and generate the planning information of each basic road construction task.

[0041] In this embodiment, the basic road construction planning information of the target region in the target planning period is queried, the task text of each basic road construction task is extracted, the construction road path sub-region and road construction period of each basic road construction task are determined through text analysis and keyword extraction (which will affect the facility radiation range of the candidate construction point due to the construction of the basic road, and further affect the generation of the public service facility collaborative construction strategy), so as to generate the planning information of the basic road construction task.

[0042] In a preferred embodiment, based on the public service facility construction resources in the target area, the construction capacity of each type of public service facility is estimated, the planning information of each basic road construction task and the change information of the public service facility construction demand of each sub-area during the target planning period are considered, the public service facility construction demand gap in each planning cycle within the target planning period is used as a constraint condition, and the public service facility supply and demand matching degree at the end of the target planning period is used as the optimization target. The optimization algorithm is used to solve the public service facility collaborative construction strategy steps in the target area, which specifically include: S410: Obtaining public service facility construction resources in the target area, allocating resources for the construction of each type of public service facility in the public service facility construction resources, and referring to the historical public service facility construction records in the target area, estimating the construction time and frequency of each type of public service facility in the target area; S420: Considering the construction road passage sub-regions, road construction periods, and the public service facility demand quantity of different types of public service facilities within the corresponding facility radiation range of each sub-region in different planning cycles of the target planning period, the construction time and construction frequency of each type of public service facility in the target region are used as the principle of collaborative construction of public service facilities. Based on the update of the facility radiation range of the candidate construction point for each basic road construction, the construction location and construction period of each type of public service facility are selected from several candidate construction points of each type of public service facility in the target region to solve the public service facility collaborative construction strategy, so that the difference between the gap between the number of public service facilities configured in the corresponding facility radiation range of each sub-region in each planning cycle and the corresponding public service facility demand quantity meets the constraint condition of the preset public service facility configuration requirement of the corresponding type of public service facility, and the public service facility configuration quantity in the last planning cycle meets the optimization goal of minimizing the excess difference with the public service facility demand quantity, and the optimization algorithm is used to solve the optimal construction point and construction time of each type of public service facility in the target region; S430: Generate a collaborative construction strategy for public service facilities in the target area based on the optimal construction point and construction time of each type of public service facility in the target area.

[0043] In this embodiment, it is necessary to consider the public service facility construction resources of the target area. Based on the construction resources allocated to each type of public service facility in the public service facility construction resources, and with reference to the historical public service facility construction records of the target area, the construction time and frequency of each type of public service facility in the target area are estimated. It should be noted that the consideration of the public service facility construction resources in the target area mainly considers the funding situation of the region's investment in public service facility construction (for example, the regional expenditure allocation cycle for different types of public service facilities) and construction resources (for example, the construction efficiency of the contractors of different types of public service facilities), in order to estimate the construction time and frequency that can be achieved for each type of public service facility in the target area.

[0044] After that, based on the construction of each basic road, the update of the facility radiation range of the candidate construction point (i.e. after the construction of the basic road is completed, the sub-area reached by the public service facility in the preset travel time is more), the construction location and construction period of each type of public service facility are selected from the candidate construction points of each type of public service facility in the target area to solve the public service facility collaborative construction strategy, with the public service facility construction demand gap of each planning period in the target planning period as the constraint condition, and the public service facility supply-demand matching degree at the end of the target planning period as the optimization target. An optimization algorithm (such as genetic algorithm) is used to solve the optimal construction point and construction time of each type of public service facility in the target area, which is used as the public service facility collaborative construction strategy to execute the public service facility collaborative construction of the target planning period.

[0045] Therefore, by realizing the intelligent and scientific planning of public service facility construction, considering the influence of basic road construction on the radiation range of public service facilities, and improving the rationality of construction planning and demand matching, the problem of heavier spending burden caused by excessive actual public service facility construction to continuously meet the needs of residents during the construction planning period can be avoided or alleviated as much as possible. That is, the excess difference between the number of public service facilities configured and the number of public service facilities required at the last planning period of the target planning period is minimized, avoiding or reducing the problem of excessive public service facility configuration in some areas.

[0046] In the preferred embodiment, the public service facility collaborative construction strategy is executed in the target area in the target planning period, and the population trend change information of the subsequent planning period is updated at the end of each planning period, specifically including: S510: Extract the optimal construction point and construction time of each type of public service facility in the target area in the public service facility collaborative construction strategy, and execute the public service facility collaborative construction of the target area in the target planning period; S520: At the end of each planning period, reacquire the population change related feature set of the target area in the target planning period, predict the population trend change information of the target area in the target planning period, and obtain the updated population trend change information of the subsequent planning period.

[0047] On this basis, based on the updated population trend change information and the current public service facility collaborative construction strategy, it is judged whether the target area meets the preset public service facility configuration requirement in the next planning period. If not, a new public service facility collaborative construction strategy is solved, specifically including: S610: Based on the updated population trend change information, determine whether the difference between the number of public service facilities configured within the corresponding facility radiation range in the next planning period and the number of corresponding public service facilities required when executing the public service facility collaborative construction in the target area according to the current public service facility collaborative construction strategy meets the preset public service facility configuration requirements for the corresponding type of public service facilities; S620: If yes, execute the collaborative construction of public service facilities in subsequent planning cycles according to the current collaborative construction strategy of public service facilities; if not, re-solve the collaborative construction strategy of public service facilities in the target area according to the updated population trend change information, and execute the collaborative construction of public service facilities in subsequent planning cycles according to the new collaborative construction strategy of public service facilities.

[0048] In this embodiment, by analyzing and judging whether the current public service facility collaborative construction strategy meets the updated population trend change information at the end of each planning cycle, the public service facility collaborative construction strategy is adjusted in a timely manner to ensure that residents' needs are continuously met, improve the rationality of construction planning and demand matching, and avoid or alleviate as much as possible the problem of increased expenditure burden caused by the actual excessive construction of public service facilities in order to continuously meet residents' needs within the construction planning period.

[0049] Reference Figure 3 , Figure 3 It is a structural block diagram of an embodiment of the regional public service facility collaborative construction planning device of the present invention.

[0050] like Figure 3 As shown, the regional public service facility collaborative construction planning device proposed in the embodiment of the present invention includes: The prediction module 10 is used to obtain a set of associated features of population changes in the target area during the target planning period, and predict population trend change information in the target area during the target planning period; Determination module 20, for determining the change information of public service facility construction demand in each sub-region during the target planning period based on the population change data of different age structures in each sub-region in the population trend change information and according to a pre-defined standard mapping relationship between population size segments and public service facility demand quantities; A query module 30 is configured to query basic road construction planning information of a target area during a target planning period, and extract planning information of each basic road construction task from the basic road construction planning information; Solution module 40 is used to estimate the construction capacity of each type of public service facility based on the public service facility construction resources in the target area, consider the planning information of each basic road construction task and the changing information of the public service facility construction demand in each sub-area during the target planning period, use the gap in public service facility construction demand in each planning cycle within the target planning period as a constraint condition, and use the matching degree of public service facility supply and demand at the end of the target planning period as the optimization target, and use an optimization algorithm to solve the public service facility collaborative construction strategy in the target area; An execution module 50 is configured to execute the coordinated construction of public service facilities in the target area during the target planning period according to the coordinated construction strategy of public service facilities, and to update the population trend change information for the subsequent planning period at the end of each planning period; The judgment module 60 is used to judge whether the target area meets the preset public service facility configuration requirements in the next planning cycle based on the updated population trend change information and the current public service facility collaborative construction strategy. If not, a new public service facility collaborative construction strategy is re-solved.

[0051] Other embodiments or specific implementations of the regional public service facility collaborative construction planning device of the present invention can refer to the above-mentioned method embodiments and will not be repeated here.

[0052] In addition, the present invention also proposes a regional public service facility collaborative construction planning device, which includes: a memory, a processor, and a regional public service facility collaborative construction planning program stored on the memory and runnable on the processor. When the regional public service facility collaborative construction planning program is executed by the processor, the steps of the regional public service facility collaborative construction planning method described above are implemented.

[0053] The specific implementation methods of the regional public service facility collaborative construction planning equipment of this application are basically the same as the various embodiments of the above-mentioned regional public service facility collaborative construction planning method, and will not be repeated here.

[0054] In addition, the present invention also proposes a readable storage medium, which includes a computer-readable storage medium on which a regional public service facility collaborative construction planning program is stored. The readable storage medium may be Figure 1 The memory 1005 in the terminal may also be at least one of a ROM (Read-Only Memory) / RAM (Random Access Memory), a magnetic disk, and an optical disk. The readable storage medium includes a number of instructions for enabling a regional public service facility collaborative construction planning device with a processor to execute the regional public service facility collaborative construction planning method described in each embodiment of the present invention.

[0055] The specific implementation methods in the readable storage medium of this application are basically the same as the various embodiments of the above-mentioned regional public service facility collaborative construction planning method, and will not be repeated here.

[0056] It should be understood that, in the description of this specification, reference to terms such as "one embodiment," "another embodiment," "other embodiments," or "first to Nth embodiments" means that the specific features, structures, materials, or characteristics described in conjunction with that embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any appropriate manner in any one or more embodiments or examples.

[0057] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or system comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or system. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or system comprising the element.

[0058] The serial numbers of the above embodiments of the present invention are for description only and do not represent the advantages or disadvantages of the embodiments.

[0059] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better embodiment. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes a number of instructions for enabling a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in each embodiment of the present invention.

[0060] The above are only preferred embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention description and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for collaborative construction planning of regional public service facilities, characterized in that: The following steps are involved: Obtain the population change correlation feature set of the target area during the target planning period, and predict the population trend change information of the target area during the target planning period; Based on the population change data of different age structures in each sub-region in the population trend change information, and according to the pre-defined standard mapping relationship between population size segments and the number of public service facilities required, determine the change information of public service facility construction demand in each sub-region during the target planning period; Querying basic road construction planning information of a target area during a target planning period, and extracting planning information of each basic road construction task in the basic road construction planning information; Based on the public service facility construction resources in the target area, the construction capacity of each type of public service facility is estimated. The planning information of each basic road construction task and the changing information of public service facility construction demand in each sub-area during the target planning period are considered. The public service facility construction demand gap in each planning cycle within the target planning period is used as a constraint condition. The matching degree of public service facility supply and demand at the end of the target planning period is used as the optimization target. An optimization algorithm is used to solve the public service facility collaborative construction strategy in the target area. Implement the coordinated construction of public service facilities in the target area during the target planning period based on the coordinated construction strategy for public service facilities, and update the population trend change information for subsequent planning periods at the end of each planning period; Based on the updated population trend change information and the current public service facility collaborative construction strategy, it is determined whether the target area meets the preset public service facility configuration requirements in the next planning cycle. If not, a new public service facility collaborative construction strategy is re-solved.

2. The method for collaborative construction planning of regional public service facilities according to claim 1, characterized in that: The steps of obtaining a set of associated features of population changes in a target area during a target planning period and predicting information on population trend changes in the target area during the target planning period include: Obtain historical population structure data of the target area and external influence characteristics of the target area during the target planning period, and construct a set of population change correlation characteristics; Utilizing the external influence features in the population change correlation feature set, a hybrid model based on integrated time series and logistic growth is used to predict population trend changes in the target area, and to determine the population size of the target area in each planning cycle during the target planning period; Performing regression analysis using historical population structure data in the population change correlation feature set to determine the growth rate of each sub-region and calculate the population growth change weight of each sub-region; Based on the base year population and population structure age in historical population structure data, combined with the population of the target area in each planning period and the weight of population growth change in each sub-region, the population growth of each age group in each sub-region is calculated; The CSM model is introduced to conduct inference and prediction of the dynamic transfer of population in each age group in each sub-region, taking into account the birth rate, death rate, population growth and transfer between age groups, and obtain the population of each age group in each sub-region in each planning period; The target fitting method is used to integrate and adjust the population size of the target area in each planning cycle during the target planning period and the population size of each age group in each sub-area during each planning cycle to obtain the population change data of different age structures in each sub-area of ​​the target area during the target planning period.

3. The method for collaborative construction planning of regional public service facilities according to claim 1, characterized in that: Based on the population change data of different age structures in each sub-region in the population trend change information, and according to the pre-defined standard mapping relationship between population size segments and the number of public service facility requirements, the steps for determining the change information of public service facility construction demand in each sub-region during the target planning period include: Obtaining a predefined standard mapping relationship between population size and segments of public service facility demand; wherein a set of population size segments for each age group in the standard mapping relationship corresponds to a set of public service facility demand within the radiation range of the corresponding public service facilities of different types; Based on the population change data of different age structures in each sub-region in the population trend change information and the standard mapping relationship, the public service facility construction demand change information of each sub-region in the target planning period is determined; wherein, the public service facility construction demand change information includes the number of public service facility demands for different types of public service facilities within the radiation range of the corresponding facilities in different planning cycles.

4. The method for collaborative construction planning of regional public service facilities according to claim 1, characterized in that: The steps of querying basic road construction planning information of a target area during a target planning period and extracting planning information of each basic road construction task in the basic road construction planning information specifically include: Querying basic road construction planning information of a target area during a target planning period, and extracting task text of each basic road construction task in the basic road construction planning information; Natural language processing tools are used to perform text analysis and keyword extraction on the task text, extract the construction road route sub-areas and road construction time periods of each basic road construction task, and generate planning information for each basic road construction task.

5. The method for collaborative construction planning of regional public service facilities according to claim 1, characterized in that: Based on the public service facility construction resources in the target area, the construction capacity of each type of public service facility is estimated. The planning information of each basic road construction task and the changing information of public service facility construction demand in each sub-area during the target planning period are considered. The public service facility construction demand gap in each planning cycle within the target planning period is used as a constraint condition. The matching degree of public service facility supply and demand at the end of the target planning period is used as the optimization target. The optimization algorithm is used to solve the strategic steps for the coordinated construction of public service facilities in the target area. Specifically, the steps include: Obtaining public service facility construction resources in the target area, allocating resources for the construction of each type of public service facility in the public service facility construction resources, and referring to the historical public service facility construction records in the target area, estimating the construction time and frequency of each type of public service facility in the target area; Considering the construction road sub-regions, road construction periods, and the public service facility demand for different types of public service facilities in the radiation range of the corresponding facilities in each sub-region during different planning cycles of the target planning period, the construction time and frequency of each type of public service facility in the target region are used as the principle of collaborative construction of public service facilities. Based on the update of the facility radiation range of the candidate construction point for the construction of each basic road, the construction location and construction period of each type of public service facility are selected from several candidate construction points of each type of public service facility in the target region to solve the collaborative construction strategy of public service facilities, so that the difference between the gap between the number of public service facilities configured in the radiation range of the corresponding facilities in each sub-region in each planning period and the number of corresponding public service facilities required meets the constraint conditions of the preset public service facility configuration requirements of the corresponding type of public service facilities, and the number of public service facilities configured in the last planning period meets the optimization goal of minimizing the excess difference with the number of public service facilities required. The optimization algorithm is used to solve the optimal construction point and construction time of each type of public service facility in the target region. Based on the optimal construction point and construction time of each type of public service facility in the target area, a collaborative construction strategy for public service facilities in the target area is generated.

6. The method for collaborative construction planning of regional public service facilities according to claim 5, characterized in that: Execute the coordinated construction of public service facilities in the target area during the target planning period according to the coordinated construction strategy of public service facilities, and update the population trend change information for the subsequent planning period at the end of each planning period. The specific steps include: Extract the optimal construction point and construction time for each type of public service facility in the target area in the public service facility collaborative construction strategy, and implement the public service facility collaborative construction in the target area during the target planning period; At the end of each planning cycle, the population change correlation feature set of the target area during the target planning period is re-obtained, the population trend change information of the target area during the target planning period is predicted, and the updated population trend change information of the subsequent planning cycle is obtained.

7. The method for collaborative construction planning of regional public service facilities according to claim 1, characterized in that: Based on the updated population trend change information and the current public service facility collaborative construction strategy, determine whether the target area meets the preset public service facility configuration requirements in the next planning cycle. If not, re-solve the new public service facility collaborative construction strategy steps, including: Based on the updated population trend change information, determine whether the difference between the number of public service facilities configured within the corresponding facility radiation range and the number of corresponding public service facilities required in the next planning period when the target area implements the public service facility collaborative construction according to the current public service facility collaborative construction strategy meets the preset public service facility configuration requirements for the corresponding type of public service facilities; If so, the collaborative construction of public service facilities in the subsequent planning cycle will be carried out according to the current collaborative construction strategy of public service facilities. If not, the collaborative construction strategy of public service facilities in the target area will be re-solved according to the updated population trend change information, and the collaborative construction of public service facilities in the subsequent planning cycle will be carried out according to the new collaborative construction strategy of public service facilities.

8. A regional public service facility collaborative construction planning device, characterized in that: include: The prediction module is used to obtain the population change correlation feature set of the target area during the target planning period and predict the population trend change information of the target area during the target planning period; A determination module is used to determine the change information of the public service facility construction demand in each sub-region during the target planning period based on the population change data of different age structures in each sub-region in the population trend change information and according to the pre-defined standard mapping relationship between the population size segments and the number of public service facility demands; A query module is used to query the basic road construction planning information of the target area in the target planning period, and extract the planning information of each basic road construction task in the basic road construction planning information; The solution module is used to estimate the construction capacity of each type of public service facility based on the public service facility construction resources in the target area. It considers the planning information of each basic road construction task and the changing information of public service facility construction demand in each sub-area during the target planning period. It uses the gap in public service facility construction demand in each planning cycle within the target planning period as a constraint condition and the matching degree of public service facility supply and demand at the end of the target planning period as the optimization target. It uses an optimization algorithm to solve the coordinated construction strategy of public service facilities in the target area. An execution module is used to execute the coordinated construction of public service facilities in the target area during the target planning period according to the coordinated construction strategy of public service facilities, and to update the population trend change information of the subsequent planning period at the end of each planning period; The judgment module is used to judge whether the target area meets the preset public service facility configuration requirements in the next planning cycle based on the updated population trend change information and the current public service facility collaborative construction strategy. If not, a new public service facility collaborative construction strategy is re-solved.

9. A regional public service facility collaborative construction planning device, characterized in that: The regional public service facility collaborative construction planning device includes: a memory, a processor, and a regional public service facility collaborative construction planning program stored in the memory and executable on the processor. When the regional public service facility collaborative construction planning program is executed by the processor, the steps of the regional public service facility collaborative construction planning method as described in any one of claims 1 to 7 are implemented.

10. A storage medium, characterized in that: The storage medium stores a regional public service facility collaborative construction planning program, which, when executed by a processor, implements the steps of the regional public service facility collaborative construction planning method according to any one of claims 1 to 7.

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