A community service portrait construction method and device based on supply and demand space-time matching

Abstract

The application discloses a community service portrait construction method and device based on supply-demand space-time matching, and belongs to the field of intelligent community services. By analyzing the demand and service capacity distribution in a specific time window, a demand and service capacity distribution model is gradually established from the time dimension and the space-time dimension. The supply-demand matching of community services is analyzed from the time dimension and the space-time dimension based on the distribution model, the weak points of supply-demand matching and the degree of mismatch are determined, and then the community service portrait is obtained, which is used for characterizing the community services and overcoming the problem that the current technology does not consider analyzing the supply-demand matching of community services from the space-time dimension. In addition, the aspect of service demand satisfaction level in the community service portrait is highlighted. The community service portrait can effectively support the optimization of the community service scheme, realize the full satisfaction of service demand, and improve the resource utilization rate and service efficiency. It is suitable for analyzing the supply-demand matching of community services.

Description

TECHNICAL FIELD

[0001] The application relates to a community service portrait construction method and device based on space-time matching of supply and demand, and belongs to the field of smart community services. BACKGROUND

[0002] In recent years, many cities in China are carrying out the construction of smart cities and smart communities. A smart city uses information technology and Internet of Things technology to realize dynamic perception, real-time analysis and intelligent services, so as to realize the collection, analysis and utilization of urban data information in a scientific and standardized manner, thereby improving the quality of life of urban residents and improving the operation efficiency and service efficiency of the city. The community is a necessary space for the life of urban residents and is also a basic geographical unit for the management and service of the city. The level of smart community construction directly determines the safety, convenience and harmony of urban residents' life. The construction of a smart community relies on various software and hardware facilities of a smart community service platform, and takes community residents as the service object and community smart services as the main content. While meeting the needs of residents and improving the quality of life of residents, the resource utilization rate and service efficiency are improved.

[0003] In order to realize the precise service of the smart community platform, it is necessary to construct a community service portrait to comprehensively and accurately depict community services. The community service portrait includes service types, service quantities, service ranges, service target groups, service functions, quality performances, service constraints, service histories and many other characteristics of aspects and dimensions. One important aspect is the space-time distribution characteristics of demand and service capacity and the matching of supply and demand, which accurately reflects the level of meeting the demand of community services in the context of individualization and dynamicization, and is an important support for service optimization. However, the existing research on community service portraits has not fully utilized the data of residents and service providers collected by the smart community service platform to construct the space-time distribution characteristics of demand and service capacity and the matching of supply and demand, and it is difficult to support the precise provision of community services. SUMMARY

[0004] The purpose of the present application is to provide a community service portrait construction method and device based on space-time matching of supply and demand, in order to overcome the problem that the current technology does not consider analyzing the matching of community service supply and demand from the space-time dimension. Based on the space-time distribution characteristics of demand and service capacity, the supply and demand of community services are modeled and analyzed, and the community service portrait is constructed from the perspective of supply and demand matching, so as to realize the precise service of the smart community platform.

[0005] To achieve the above purpose, the first aspect of the present application provides a community service portrait construction method based on space-time matching of supply and demand, comprising:

[0006] obtaining supply and demand information, wherein the supply and demand information includes demand information and service capacity information with space-time information;

[0007] Based on the above supply and demand information, a community service portrait framework is constructed;

[0008] Based on a preset time division manner and a space division manner, a demand-service capability distribution model is constructed in combination with the above supply and demand information, wherein the demand-service capability distribution model includes a time distribution model of demand-service capability and a space-time distribution model of demand-service capability;

[0009] A supply and demand gap evaluation method is designed, and a supply and demand matching weak point and a supply and demand mismatching degree are obtained based on the above supply and demand gap evaluation method, wherein the supply and demand matching weak point includes a time dimension supply and demand matching weak point and a space-time dimension supply and demand matching weak point;

[0010] Based on the above demand-service capability distribution model, the above supply and demand matching weak point, and the above supply and demand mismatching degree, a community service portrait is obtained in combination with the above community service portrait framework, so as to realize the characterization of community service.

[0011] In an embodiment, the above supply and demand information further includes: basic service information;

[0012] The above obtaining of supply and demand information includes:

[0013] The above basic service information is obtained through an external open platform, wherein the basic service information includes community service data of several types;

[0014] The demand information and the service capability information with space-time information in a preset time window are obtained through a smart community service platform, wherein the demand information includes resident behavior characteristic data with a time stamp and longitude and latitude, and the service capability information includes service capability data of a community service provider with a time stamp and longitude and latitude.

[0015] In an embodiment, the above construction of a demand-service capability distribution model in combination with the above supply and demand information based on a preset time division manner and a space division manner includes:

[0016] Based on a preset time division manner, a time distribution model of demand-service capability is constructed in combination with the above supply and demand information;

[0017] Based on a preset time division manner and a space division manner, a space-time distribution model of demand-service capability is constructed in combination with the above supply and demand information.

[0018] In an embodiment, the above construction of a time distribution model of demand-service capability in combination with the above supply and demand information based on a preset time division manner includes:

[0019] According to a preset time division manner, the above preset time window is divided into a plurality of time units;

[0020] fitting data of the demand information and the service capacity information of each time unit to obtain a probability mass function of the demand information and a probability mass function of the service capacity information, respectively;

[0021] constructing a time distribution model of demand according to the probability mass function of the demand information and constructing a time distribution model of service capacity according to the probability mass function of the service capacity information.

[0022] In an embodiment, the constructing of the demand-service capacity space-time distribution model based on the preset time division manner and the space division manner in combination with the supply-demand information comprises:

[0023] dividing the preset region into a plurality of space units based on the preset space division manner, and obtaining a plurality of space-time units in combination with the plurality of time units;

[0024] fitting data of the demand information and the service capacity information of each space-time unit to obtain a probability mass function of the demand information and a probability mass function of the service capacity information, respectively;

[0025] constructing a space-time distribution model of demand according to the probability mass function of the demand information and constructing a space-time distribution model of service capacity according to the probability mass function of the service capacity information.

[0026] In an embodiment, the obtaining of the weak points of supply-demand matching based on the supply-demand gap evaluation method comprises:

[0027] obtaining the weak points of supply-demand matching in the time dimension according to the supply-demand gap evaluation method in combination with the time distribution model of demand-service capacity;

[0028] obtaining the weak points of supply-demand matching in the space-time dimension according to the supply-demand gap evaluation method in combination with the space-time distribution model of demand-service capacity.

[0029] In an embodiment, the obtaining of the community service portrait based on the demand-service capacity distribution model, the weak points of supply-demand matching and the degree of supply-demand mismatch in combination with the community service portrait framework comprises:

[0030] obtaining a service demand satisfaction level portrait based on the demand-service capacity distribution model, the weak points of supply-demand matching and the degree of supply-demand mismatch;

[0031] obtaining a community service portrait by combining the service demand satisfaction level portrait with the community service portrait framework.

[0032] The second aspect of the present application provides a community service portrait construction device based on supply-demand space-time matching, comprising:

[0033] An acquisition module is configured to acquire supply-demand information, wherein the supply-demand information comprises demand information and service capability information with space-time information.

[0034] A framework construction module is configured to construct a community service portrait framework based on the supply-demand information.

[0035] A model construction module is configured to construct a demand-service capability distribution model based on a preset time division manner and a space division manner in combination with the supply-demand information, wherein the demand-service capability distribution model comprises a time distribution model of demand-service capability and a space-time distribution model of demand-service capability.

[0036] A calculation module is configured to design a supply-demand gap evaluation method, and acquire a supply-demand matching weak point and a supply-demand mismatching degree based on the supply-demand gap evaluation method, wherein the supply-demand matching weak point comprises a time dimension supply-demand matching weak point and a space-time dimension supply-demand matching weak point.

[0037] A portrait construction module is configured to obtain a community service portrait based on the demand-service capability distribution model, the supply-demand matching weak point and the supply-demand mismatching degree in combination with the community service portrait framework, and realize the characterization of the community service.

[0038] The third aspect of the present application provides a community service portrait construction device based on supply-demand space-time matching, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to realize the steps in the first aspect or any of the implementation manners of the first aspect.

[0039] The fourth aspect of the present application provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program is executed by a processor to realize the steps in the first aspect or any of the implementation manners of the first aspect.

[0040] As can be seen from the above, the present application provides a community service portrait construction method and device based on supply-demand space-time matching, which gradually establishes a demand and service capability distribution model from a time dimension and a space-time dimension by analyzing the demand and service capability distribution in a specific time window, analyzes the supply-demand matching of the community service from the time dimension and the space-time dimension based on the distribution model, determines the supply-demand matching weak point and its mismatching degree, and then obtains a community service portrait for realizing the characterization of the community service, thereby filling the gap in the existing research and overcoming the problem that the current technology does not consider analyzing the supply-demand matching of the community service from the time dimension and the space-time dimension. In addition, the community service portrait focuses on the aspect of service demand satisfaction level, and the community service portrait can effectively support the optimization of the community service scheme, realize the full satisfaction of service demand, and improve the resource utilization rate and service efficiency. Attached Figure Description

[0041] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0042] Figure 1 A flowchart illustrating a method for constructing a community service profile, as provided in an embodiment of this application;

[0043] Figure 2 A schematic diagram illustrating a community service profile construction method provided in this application embodiment;

[0044] Figure 3 A time distribution diagram of demand and service capabilities provided for an embodiment of this application;

[0045] Figure 4 A schematic diagram illustrating the analysis of supply and demand matching in an embodiment of this application;

[0046] Figure 5 This is a schematic diagram of a community service profile construction device based on spatiotemporal matching of supply and demand, provided in an embodiment of this application. Detailed Implementation

[0047] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods are omitted so as not to obscure the description of this application with unnecessary detail.

[0048] It should be understood that, when used in this specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0049] It should also be understood that the terminology used in this application specification is for the purpose of describing particular embodiments only and is not intended to limit the application. As used in this application specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0050] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application are clearly and completely described. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0051] In the following description, many specific details are set forth in order to provide a thorough understanding of the present application. However, the present application can be practiced according to other embodiments that deviate from the details described herein without departing from the scope of the present application. Accordingly, the scope of the present application is not intended to be limited to the particular embodiments described herein.

[0052] Embodiment one

[0053] The embodiment of the present application provides a community service portrait construction method based on supply-demand space-time matching, as shown in Figure 1 and 2 The method comprises the following steps.

[0054] Step 11: obtaining supply-demand information, wherein the supply-demand information comprises demand information and service capability information with space-time information;

[0055] Optionally, in order to construct a comprehensive and complete community service portrait from the supply and demand sides, in addition to the demand information and service capability information, external open platforms and public information are needed to obtain basic service information, and then the supply-demand information is obtained to serve as the basis for constructing the community service portrait. The basic service information can include several types of community service data that the community can provide, such as medical and health services, accommodation services, administrative services, transportation-related services, science and education and culture services, catering services, living services, sports and leisure services, and many other service categories. Each service category can include corresponding service subcategories.

[0056] Further, in order to analyze the space-time matching of the demand and service capability which are the focus of the embodiments of the present application, demand information and service capability information with space-time information in a preset time window are obtained through the smart community service platform, wherein the demand information comprises resident behavior characteristic data with a timestamp and latitude and longitude, and the service capability information comprises service capability data of a community service provider with a timestamp and latitude and longitude.

[0057] In an application scenario, the smart community service platform samples the behavior characteristics of residents and the service capabilities of service providers, and records the time and space information of each piece of data during sampling. The time information is usually recorded in the form of a timestamp, and the space information is usually recorded in the form of a latitude and longitude position. In order to analyze the supply-demand matching situation of the community in a period of time, a time window needs to be set in advance, and the preset time window is selected as the sample range for data analysis. The relevant data of the behavior of residents and the service capabilities of service providers in this period of time are obtained from the smart community service platform and exported as demand information and service capability information, providing a data basis for the construction of a community service portrait.

[0058] Optionally, after obtaining the corresponding data of the above-mentioned behavior characteristics of residents and service capabilities, the obtained data can be preprocessed, such as data cleaning. Then, a community service knowledge base is constructed according to the data after preprocessing, so that the corresponding information can be quickly and accurately called later.

[0059] Step 12: constructing a community service portrait framework based on the above-mentioned supply-demand information;

[0060] In an application scenario, since the community service portrait needs to include content such as service type, service quantity, service range, service target group, service function, quality performance, service constraint, and service history, the basic framework of the community service portrait is constructed by using the supply-demand data obtained in step 11 or using the community service knowledge base constructed based on the supply-demand data, through data analysis, data mining, and / or data clustering technology, to serve as the basis for the construction of the community service portrait based on the supply-demand spatiotemporal matching.

[0061] Step 13: constructing a demand-service capability distribution model based on a preset time division manner and a space division manner, in combination with the above-mentioned supply-demand information, wherein the demand-service capability distribution model includes a time distribution model of demand-service capability and a spatiotemporal distribution model of demand-service capability;

[0062] Since time and space are continuous values, demand and capability are only a finite number of discrete points, and a continuous model is difficult to depict demand and service capability, it is necessary to divide time and space into a finite number of spatiotemporal units, and analyze the supply-demand situation in each spatiotemporal unit. Analyzing the supply-demand situation emphasizes considering the problem from a macro and overall perspective, and discretizing the time and space will make the modeling manner provided by the embodiments of the present application more reasonable and operable.

[0063] Based on the above analysis, in an application scenario, the demand-service capability distribution model constructed based on the preset time division manner and the space division manner in combination with the above-mentioned supply-demand information can include:

[0064] Based on the preset time division manner, the demand-service capability time distribution model is constructed in combination with the above-mentioned supply and demand information. Specifically, the above-mentioned preset time window is divided into a plurality of time units according to the preset time division manner; the demand information and the service capability information of each time unit are data-fitted to obtain the probability mass functions of the demand information and the service capability information, respectively; the demand time distribution model is constructed according to the probability mass function of the demand information, and the service capability time distribution model is constructed according to the probability mass function of the service capability information; for the convenience of understanding, taking the time division manner of one hour as an example, the above-mentioned steps can be understood as follows: the sample data of demand and capability per hour are fitted to obtain the probability mass functions of demand and capability, and a demand-service capability time distribution model is further established.

[0065] Based on the preset time division manner and the space division manner, the demand-service capability space-time distribution model is constructed in combination with the above-mentioned supply and demand information. Specifically, the preset region is divided into a plurality of space units based on the preset space division manner, and a plurality of space-time units are obtained in combination with the plurality of time units; the demand information and the service capability information of each space-time unit are data-fitted to obtain the probability mass functions of the demand information and the service capability information, respectively; the demand space-time distribution model is constructed according to the probability mass function of the demand information, and the service capability space-time distribution model is constructed according to the probability mass function of the service capability information.

[0066] It should be noted that when determining the time division manner and the space division manner, it is necessary to ensure that the division unit granularity is moderate. If the division unit is too large, the data in each unit will be too much, the data distribution difference will be too large, and the analysis result will be inaccurate. If the division unit is too small, the data in each unit will be too little, and it will be difficult to make effective analysis. In actual application, the specific division unit granularity can be determined according to actual business requirements. Optionally, when the time / space information granularity of the data collected from the smart community service platform is finer than the time / space division unit granularity, the data can be aggregated, converted, etc. to obtain data with moderate division unit granularity. For time information, it may be aggregated from a certain timestamp to an hour. For space information, different space perspectives need to be established to realize the conversion from a position to a region.

[0067] In one application scenario, after determining the time division manner, the demand information and service capability information collected from the smart community service platform can be used to model the data in each time unit. If the data collected by the platform can fully express the demand and service capability, the data can be directly used; otherwise, further analysis and mining of the data collected by the platform is needed to obtain data in the time unit that can fully express the demand and service capability. For the demand information, the number of people in a certain time unit who want to accept a certain service needs to be expressed. For the service capability information, the total service capability of the service providers in the community in a certain time unit needs to be expressed. Since there are differences between different service providers, (1) the business hours of different individuals are different, that is, the service providing time is different; (2) the service capabilities of different individuals are different, and these factors can be considered in the calculation of the total service capability of the service providers. Figure 3 A schematic diagram for comparing the time model of the demand and capability of a certain service in the community is shown, in which the two curves corresponding to each hour are the fitting functions of the demand and service capability, respectively.

[0068] Similarly, the space also needs to be discretized by a space division manner. The space division manner usually divides the space (i.e., the preset area) according to the area, which can be a regular shape or an irregular shape. In community services, the space unit is usually a cell or a grid, and the specific division manner can be determined according to the business needs.

[0069] Further, in the time-space dimension (time + space), the sample data of the demand and capability in each time-space unit are fitted to obtain the probability mass functions of the two, and a time-space distribution model of the demand and service capability is further established. For the demand, the number of people in a certain time-space unit who want to accept a certain service needs to be expressed. For the service capability, the total service capability of the service providers in a certain time-space unit needs to be expressed. Since the spatial dimension is introduced, the characteristics of the service providers providing services in space need to be considered accordingly, so the services are divided into two categories according to whether the service resources are movable: movable service resources and non-movable service resources. A typical example of the former is on-site housekeeping service, and the service providers can only provide services to the area based on their location; a typical example of the latter is community hospital service, and the service providers can provide services to the surrounding area of their location, and the farther the distance, the weaker the service capability. In addition, since there are differences between different service providers, the individual factors need to be fully considered in the calculation of the total service capability of the service providers.

[0070] Step 14: design a supply-demand gap evaluation method, and obtain the supply-demand matching weak points and the supply-demand mismatch degree based on the supply-demand gap evaluation method, wherein the supply-demand matching weak points include time dimension supply-demand matching weak points and space-time dimension supply-demand matching weak points;

[0071] Optionally, the obtaining of the supply-demand matching weak points based on the supply-demand gap evaluation method includes:

[0072] According to the supply-demand gap evaluation method, the time dimension supply-demand matching weak points are obtained in combination with the demand-service capacity time distribution model;

[0073] According to the supply-demand gap evaluation method, the space-time dimension supply-demand matching weak points are obtained in combination with the demand-service capacity space-time distribution model.

[0074] In an embodiment, the supply-demand gap evaluation method for community services is proposed, which compares the distribution of demand and service capacity from a macro perspective, Figure 4 is a supply-demand matching situation analysis schematic diagram. Specifically, according to the community service data of several types of community services that can be provided by the community obtained based on the supply-demand information, an evaluation standard for determining whether the service meets the supply-demand matching, i.e., the supply-demand gap evaluation method, is designed. Then, in combination with the corresponding demand-service capacity distribution model, an algorithm for outputting the supply-demand mismatch time unit (i.e., the time dimension supply-demand matching weak points) / space-time unit (i.e., the space-time dimension supply-demand matching weak points) and the supply-demand mismatch degree is designed, and finally the time dimension / space-time dimension supply-demand matching weak points and the degree of supply-demand mismatch are outputted.

[0075] Step 15: obtain the community service portrait based on the demand-service capacity distribution model, the supply-demand matching weak points, and the supply-demand mismatch degree in combination with the community service portrait framework, so as to realize the characterization of the community service.

[0076] Optionally, the obtaining of the community service portrait based on the demand-service capacity distribution model, the supply-demand matching weak points, and the supply-demand mismatch degree in combination with the community service portrait framework includes:

[0077] The service demand level portrait is obtained based on the demand-service capacity distribution model, the supply-demand matching weak points, and the supply-demand mismatch degree;

[0078] The community service portrait is obtained by combining the service demand level portrait with the community service portrait framework.

[0079] In one application scenario, according to the demand-service capability distribution model obtained in step 13 and step 14 and the weak points of supply and demand matching and the degree of supply and demand mismatch, the supply and demand matching of a single service can be obtained. Steps 13 and 14 are repeated for several types of community services that the community can provide, and the supply and demand matching of each service is obtained, thereby depicting the portrait of the community service portrait on the aspect of the service demand satisfaction level. The service demand satisfaction level portrait is combined with the community service portrait framework constructed in step 12, and a relatively complete community service portrait is obtained, thereby comprehensively and accurately depicting the community service.

[0080] As can be seen from the above, the embodiment of the present application provides a community service portrait construction method based on supply and demand space-time matching. By analyzing the demand and service capability distribution in a specific time window, a demand and service capability distribution model is gradually established from the time dimension and the space-time dimension. The supply and demand matching of the community service is analyzed from the time dimension and the space-time dimension based on the distribution model, the weak points of supply and demand matching and the mismatch degree are determined, and then the community service portrait is obtained, which is used to depict the community service, fills the gap of the existing research, and overcomes the problem that the current technology does not consider analyzing the supply and demand matching of the community service from the space-time dimension. In addition, the aspect of the service demand satisfaction level in the community service portrait is highlighted. The community service portrait can effectively support the optimization of the community service scheme, and realize the full satisfaction of service demand, the improvement of resource utilization rate and service efficiency.

[0081] Embodiment two

[0082] The embodiment of the present application provides a community service portrait construction device based on supply and demand space-time matching, as shown in the figure, the device comprises: an acquisition module 21, a framework construction module 22, a model construction module 23, an analysis module 24 and a portrait construction module 25. Figure 5

[0083] The acquisition module 21 is used to acquire supply and demand information, wherein the supply and demand information includes demand information and service capability information with space-time information;

[0084] The framework construction module 22 is used to construct a community service portrait framework based on the supply and demand information;

[0085] The model construction module 23 is used to construct a demand-service capability distribution model based on a preset time division method and a space division method, in combination with the supply and demand information, wherein the demand-service capability distribution model includes a demand-service capability time distribution model and a demand-service capability space-time distribution model;

[0086] ​The analysis module 24 is configured to design a supply-demand gap evaluation method, and obtain a supply-demand matching weak point and a supply-demand mismatch degree based on the supply-demand gap evaluation method. The supply-demand matching weak point includes a time dimension supply-demand matching weak point and a space-time dimension supply-demand matching weak point.

[0087] The image construction module 25 is configured to obtain a community service image based on the demand-service capability distribution model, the supply-demand matching weak point, and the supply-demand mismatch degree, and combine the community service image framework to characterize the community service.

[0088] Optionally, the supply-demand information further includes basic service information.

[0089] The obtaining module 21 is specifically configured to:

[0090] The basic service information is obtained through an external open platform. The basic service information includes community service data of several types.

[0091] The demand information and the service capability information with space-time information in a preset time window are obtained through a smart community service platform. The demand information includes resident behavior characteristic data with a time stamp and a latitude and longitude. The service capability information includes service capability data of a community service provider with a time stamp and a latitude and longitude.

[0092] Optionally, the model construction module 23 is configured to:

[0093] The demand-service capability time distribution model is constructed based on a preset time division manner and the supply-demand information.

[0094] The demand-service capability space-time distribution model is constructed based on a preset time division manner, a space division manner, and the supply-demand information.

[0095] Optionally, the model construction module 23 is specifically configured to:

[0096] The preset time window is divided into a plurality of time units according to a preset time division manner.

[0097] The demand information and the service capability information of each time unit are subjected to data fitting to obtain a probability mass function of the demand information and a probability mass function of the service capability information.

[0098] The demand time distribution model is constructed according to the probability mass function of the demand information, and the service capability time distribution model is constructed according to the probability mass function of the service capability information.

[0099] Optionally, the model construction module 23 is further configured to:

[0100] dividing the preset area into a plurality of space units based on a preset space division manner, and combining the plurality of time units to obtain a plurality of space-time units;

[0101] performing data fitting on the demand information and the service capacity information of each space-time unit to obtain a probability mass function of the demand information and a probability mass function of the service capacity information, respectively;

[0102] constructing a space-time distribution model of demand according to the probability mass function of the demand information, and constructing a space-time distribution model of service capacity according to the probability mass function of the service capacity information.

[0103] Optionally, the analysis module 24 is configured to:

[0104] designing a supply-demand mismatch time unit according to the supply-demand gap evaluation method, and combining the time distribution model of demand-service capacity to obtain a weak point of supply-demand matching in the time dimension;

[0105] designing a supply-demand mismatch space-time unit according to the supply-demand gap evaluation method, and combining the space-time distribution model of demand-service capacity to obtain a weak point of supply-demand matching in the space-time dimension.

[0106] Optionally, the portrait construction module 25 is configured to:

[0107] obtaining a service demand satisfaction level portrait based on the demand-service capacity distribution model, the weak point of supply-demand matching, and the supply-demand mismatch degree;

[0108] obtaining a community service portrait from the service demand satisfaction level portrait and the community service portrait framework.

[0109] As can be seen from the above, the community service portrait construction device based on supply-demand space-time matching provided by the embodiments of the present application gradually establishes demand and service capacity distribution models from the time dimension and the space-time dimension by analyzing the demand and service capacity distribution in a specific time window, analyzes the supply-demand matching of community services from the time dimension and the space-time dimension based on the distribution models, determines the weak point of supply-demand matching and the mismatch degree, and then obtains a community service portrait, which is used to characterize community services, fills the gap in the existing research, and overcomes the problem that the current technology does not consider analyzing the supply-demand matching of community services from the time dimension and the space-time dimension. In addition, the service demand satisfaction level in the community service portrait is highlighted, and the community service portrait can effectively support the optimization of community service schemes, and achieve sufficient satisfaction of service demand, improvement of resource utilization rate, and service efficiency.

[0110] Embodiment Three

[0111] The embodiment of the present application further provides a community service portrait construction device based on supply-demand space-time matching, which comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the memory is used for storing software programs and modules, and the processor executes various function applications and data processing by running the software programs and modules stored in the memory. The memory and the processor are connected through a bus. Specifically, the processor realizes any step in the embodiment one by running the computer program stored in the memory.

[0112] It should be understood that, in the embodiment of the present application, the processor can be a central processing unit (CPU), and the processor can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0113] The memory can include read-only memory, flash memory and random access memory, and provide instructions and data for the processor. Part or all of the memory can also include non-volatile random access memory.

[0114] As can be seen from the above, the community service portrait construction device based on supply-demand space-time matching provided by the embodiment of the present application gradually establishes a demand and service capacity distribution model from the time dimension and the space-time dimension by analyzing the demand and service capacity distribution in a specific time window, analyzes the supply-demand matching of community services from the time dimension and the space-time dimension on the basis of the distribution model, determines the weak points of supply-demand matching and the degree of mismatch, and then obtains the community service portrait, which is used for characterizing the community service, fills the gap of the existing research, and overcomes the problem that the current technology does not consider analyzing the supply-demand matching of community services from the space-time dimension. In addition, the embodiment of the present application focuses on characterizing the aspect of service demand satisfaction level in the community service portrait, and the community service portrait can effectively support the optimization of the community service scheme, realize the full satisfaction of service demand, and improve the resource utilization rate and service efficiency.

[0115] It should be understood that the above-mentioned integrated modules / units, if implemented in the form of software functional units and sold or used as independent products, can be stored in a computer readable storage medium. Based on such understanding, all or part of the processes in the above-mentioned embodiment methods can also be completed by a computer program instructing related hardware, and the above-mentioned computer program can be stored in a computer readable storage medium. When the processor executes the computer program, the steps of the above-mentioned various method embodiments can be implemented. The above-mentioned computer program includes computer program code, which can be in the form of source code, object code, executable files or some intermediate forms. The above-mentioned computer readable medium can include any entity or device, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium, etc. capable of carrying the above-mentioned computer program code. It should be noted that the above-mentioned computer readable storage medium contains contents which can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction.

[0116] The above description of disclosed embodiments enables a person skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0117] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the above-mentioned division of functional units and modules is exemplified, and in actual application, the above-mentioned functions can be completed by different functional units and modules according to needs, i.e. the internal structure of the above-mentioned device is divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be realized in the form of hardware or software functional unit. In addition, the specific names of each functional unit and module are only for easy distinction, and do not limit the protection scope of the present application. The specific working process of the unit and module in the above-mentioned system can refer to the corresponding process in the above-mentioned method embodiments, which will not be repeated here.

[0118] It should be noted that the method and details thereof provided by the above embodiments can be combined with the apparatus and device provided by the embodiments, and mutual reference is not repeated.

[0119] Those skilled in the art can understand that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be realized by electronic hardware or a combination of computer software and electronic hardware. Whether the functions are realized in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to realize the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0120] In the embodiments provided in the present application, it should be understood that the disclosed apparatus / terminal device and method can be implemented in other ways. For example, the above-described apparatus / device embodiments are merely illustrative, for example, the division of the above-described modules or units is merely a logical function division, and actual implementation can be in another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed.

[0121] The above embodiments are only used to illustrate the technical solutions of the present application, not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that the technical solutions recorded in the foregoing embodiments can be modified, or some technical features can be replaced by equivalents; and these modifications or replacements do not make the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application.

Claims

1. A community service portrait construction method based on supply-demand space-time matching, characterized in that, The method comprises the following steps: obtaining supply and demand information, wherein the supply and demand information comprises demand information and service capability information with space-time information; constructing a community service portrait framework based on the supply and demand information; constructing a demand-service capability distribution model based on a preset time division manner and a space division manner in combination with the supply and demand information, wherein the demand-service capability distribution model comprises a demand-service capability time distribution model and a demand-service capability space-time distribution model; designing a supply and demand gap evaluation method to obtain a supply and demand matching weak point and a supply and demand mismatching degree based on the supply and demand gap evaluation method, wherein the supply and demand matching weak point comprises a time dimension supply and demand matching weak point and a space-time dimension supply and demand matching weak point; obtaining a community service portrait based on the demand-service capability distribution model, the supply and demand matching weak point and the supply and demand mismatching degree in combination with the community service portrait framework, so as to realize the characterization of community service; the supply and demand information further comprises basic service information; the method for obtaining supply and demand information comprises: obtaining the basic service information through an external open platform, wherein the basic service information comprises community service data of several types; obtaining demand information and service capability information with space-time information within a preset time window through a smart community service platform, wherein the demand information comprises resident behavior characteristic data with a time stamp and longitude and latitude, and the service capability information comprises service capability data of a community service provider with a time stamp and longitude and latitude; the method for constructing a demand-service capability distribution model based on a preset time division manner and a space division manner in combination with the supply and demand information comprises: constructing a demand-service capability time distribution model based on a preset time division manner in combination with the supply and demand information; constructing a demand-service capability space-time distribution model based on a preset time division manner and a space division manner in combination with the supply and demand information; the method for constructing a demand-service capability time distribution model based on a preset time division manner in combination with the supply and demand information comprises: dividing the preset time window into a plurality of time units according to the preset time division manner; performing data fitting on the demand information and the service capability information of each time unit to obtain a probability mass function of the demand information and a probability mass function of the service capability information, respectively; constructing a demand time distribution model according to the probability mass function of the demand information and constructing a service capability time distribution model according to the probability mass function of the service capability information; the method for constructing a demand-service capability space-time distribution model based on a preset time division manner and a space division manner in combination with the supply and demand information comprises: dividing a preset area into a plurality of space units based on a preset space division manner and obtaining a plurality of space-time units in combination with the plurality of time units; performing data fitting on the demand information and the service capability information of each space-time unit to obtain a probability mass function of the demand information and a probability mass function of the service capability information, respectively; constructing a demand space-time distribution model according to the probability mass function of the demand information and constructing a service capability space-time distribution model according to the probability mass function of the service capability information.

2. The community service portrait construction method according to claim 1, wherein the method for obtaining a supply and demand matching weak point based on the supply and demand gap evaluation method comprises: According to the supply-demand gap evaluation method, the weak points of supply-demand matching in the time dimension are obtained in combination with the time distribution model of the demand-service capability; According to the supply-demand gap evaluation method, the weak points of supply-demand matching in the time-space dimension are obtained in combination with the space-time distribution model of the demand-service capability.

3. The community service portrait construction method according to claim 1, wherein The community service portrait is obtained in combination with the community service portrait framework based on the demand-service capability distribution model, the weak points of supply-demand matching, and the degree of supply-demand mismatch. The service demand satisfaction level portrait is obtained based on the demand-service capability distribution model, the weak points of supply-demand matching, and the degree of supply-demand mismatch. The community service portrait is obtained in combination with the community service portrait framework based on the service demand satisfaction level portrait.

4. A community service portrait construction device based on supply and demand space-time matching, characterized in that, It includes: An acquisition module is configured to acquire supply-demand information, wherein the supply-demand information includes demand information and service capability information with space-time information; A framework construction module is configured to construct a community service portrait framework based on the supply-demand information; A model construction module is configured to construct a demand-service capability distribution model based on a preset time division manner and a space division manner in combination with the supply-demand information, wherein the demand-service capability distribution model includes a time distribution model of demand-service capability and a space-time distribution model of demand-service capability; An analysis module is configured to design a supply-demand gap evaluation method and acquire weak points of supply-demand matching and a degree of supply-demand mismatch based on the supply-demand gap evaluation method, wherein the weak points of supply-demand matching include weak points of supply-demand matching in the time dimension and weak points of supply-demand matching in the time-space dimension; A portrait construction module is configured to obtain a community service portrait in combination with the community service portrait framework based on the demand-service capability distribution model, the weak points of supply-demand matching, and the degree of supply-demand mismatch, so as to characterize the community service; The supply-demand information further includes basic service information; The acquisition of the supply-demand information includes: The basic service information is acquired through an external open platform, wherein the basic service information includes community service data of several types; The demand information and the service capability information with space-time information in a preset time window are acquired through a smart community service platform, wherein the demand information includes resident behavior characteristic data with a time stamp and longitude and latitude, and the service capability information includes service capability data of a community service provider with a time stamp and longitude and latitude; The demand-service capability distribution model is constructed based on the preset time division manner and the space division manner in combination with the supply-demand information, which includes: The time distribution model of demand-service capability is constructed based on the preset time division manner in combination with the supply-demand information; The space-time distribution model of demand-service capability is constructed based on the preset time division manner and the space division manner in combination with the supply-demand information; The time distribution model of demand-service capability is constructed based on the preset time division manner in combination with the supply-demand information, which includes: The preset time window is divided into a plurality of time units according to the preset time division manner; The demand information and the service capability information of each time unit are subjected to data fitting to obtain probability mass functions of the demand information and the service capability information, respectively; constructing a time distribution model of the demand according to a probability mass function of the demand information and constructing a time distribution model of the service capacity according to a probability mass function of the service capacity information; The constructing of the demand-service capacity space-time distribution model based on the preset time division mode and the space division mode and in combination with the supply-demand information comprises: dividing a preset region into a plurality of space units based on a preset space division mode and obtaining a plurality of space-time units in combination with the plurality of time units; performing data fitting on the demand information and the service capacity information of each space-time unit to obtain a probability mass function of the demand information and a probability mass function of the service capacity information respectively; constructing a space-time distribution model of the demand according to the probability mass function of the demand information and constructing a space-time distribution model of the service capacity according to the probability mass function of the service capacity information.

5. A community service portrait construction device based on supply and demand space-time matching, comprising: The memory, the processor and the computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method according to any one of claims 1 to 3 when executing the computer program.

6. A computer-readable storage medium storing a computer program, the computer program comprising instructions that, when executed by a computer, cause the computer to perform the method of any one of claims 1 to 5. The computer program is executed by the processor to implement the steps of the method according to any one of claims 1 to 3.

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