Comprehensive evaluation method, system and equipment for old cell transformation and medium

Abstract

The invention relates to the technical field of cell reconstruction evaluation, in particular to a comprehensive evaluation method, system and device for old cell reconstruction and a medium. According to the method, firstly, three types of basic data of physical detection, resident investigation and policy requirements are obtained, the integrity of evaluation indexes is ensured, quantitative analysis is performed by adopting a preset technical evaluation model, and the objectivity of the evaluation process is ensured; secondly, time sequence comparison and transverse comparison of historical investment data are introduced, and sustainability of transformation benefits is embodied; and finally, the property management state is taken as a key variable to be incorporated into a comprehensive evaluation system, a systematic evaluation method is provided for old community reconstruction, and the accuracy of an evaluation result is improved.

Description

Technical Field

[0001] The present application relates to the technical field of community renovation evaluation, and in particular to a comprehensive evaluation method, system, equipment and medium for the renovation of old communities. Background Art

[0002] With the acceleration of urbanization and the improvement of living environment requirements, the renovation of old residential communities has become an important task of urban renewal. These communities generally have problems such as aging buildings, outdated facilities, and poor environmental quality.

[0003] The existing community renovation evaluation focuses on the implementation effect evaluation at the technical level, and basically lacks evaluation considerations for other technology-related factors. There is a lack of systematic evaluation methods combined with practice. This situation needs to be further improved. Summary of the invention

[0004] In order to solve the problem of the lack of a systematic community renovation evaluation method combined with practice, this application provides a comprehensive evaluation method, system, equipment and medium for the renovation of old communities, using the following technical solutions: In the first aspect, the present application provides a comprehensive evaluation method for the renovation of old residential areas, comprising the following steps: Obtain on-site testing data, resident survey data, and policy document data to generate evaluation indicator data sets; Input the evaluation index data set into a preset technical evaluation model to calculate and generate a basic evaluation score; Read historical investment data from a sample database, perform time series comparison and horizontal comparison operations on the historical investment data, and output an investment benefit coefficient; The property management status coefficient is obtained, and according to a preset weight coefficient, weighted calculation is performed on the basic evaluation score, the investment benefit coefficient and the property management status coefficient to output a comprehensive evaluation index.

[0005] By adopting the above technical solution, since the renovation of old communities involves multiple dimensions, the traditional single technical indicator evaluation method is difficult to fully reflect the renovation needs and effects, and the renovation of old communities in different periods is difficult to compare in the same period. This application first obtains three types of basic data: physical testing, resident surveys, and policy requirements to ensure the integrity of the evaluation indicators, and uses a preset technical evaluation model for quantitative analysis to ensure the objectivity of the evaluation process; then introduces the time series and horizontal comparison of historical investment data to reflect the sustainability of the renovation benefits; finally, the property management status is included as a key variable in the comprehensive evaluation system, which provides a systematic evaluation method for the renovation of old communities and improves the accuracy of the evaluation results.

[0006] Optionally, obtaining on-site detection data, resident survey data, and policy document data to generate an evaluation index data set includes the following steps: Obtain building physical status data, infrastructure operation data and environmental monitoring data to generate on-site detection data; A digital questionnaire system is used to collect resident information, satisfaction evaluation and renovation demand data to generate resident survey data; Obtain relevant policy documents, extract evaluation index requirements from the relevant policy documents, and generate policy document data; The field test data, resident survey data and policy document data are standardized to construct an evaluation index data set.

[0007] By adopting the above technical solution, this application first divides on-site detection into three dimensions: building physics, infrastructure and environmental monitoring to ensure the systematic nature of data collection, develops a dedicated digital questionnaire system, and directly converts resident survey data into a structured format; then designs an intelligent policy document parsing algorithm to automatically extract standardized evaluation index requirements; finally, through a unified data standardization processing process, the three types of heterogeneous data are converted into computable evaluation index data sets, thereby improving the quality and availability of the data.

[0008] Optionally, obtaining building physical status data, infrastructure operation data and environmental monitoring data to generate on-site detection data specifically includes the following steps: Obtain building structure integrity data, component damage degree data and material durability data scanned and recorded by non-destructive testing instruments; Obtain the operating parameters of the water supply and drainage system, power supply system and fire protection system collected by IoT sensor equipment; Obtain noise level, air quality and green coverage data collected and recorded by environmental monitoring equipment; All acquired data are digitized and error corrected to generate on-site detection data in a standard format.

[0009] By adopting the above technical solutions, this application first uses non-destructive detection instruments such as sound waves and infrared to conduct a full-scale scan of the building structure to obtain accurate data on structural integrity, component damage and material durability; secondly, innovatively deploys Internet of Things sensor equipment to conduct real-time monitoring of key systems such as water supply and drainage, power supply and fire protection, forming a complete operating parameter data set; then uses professional environmental monitoring equipment to dynamically collect environmental indicators such as noise, air quality and green coverage; finally, uses data processing algorithms to digitize and correct errors in all collected data to ensure data accuracy and consistency.

[0010] Optionally, the evaluation index data set is input into a preset technical evaluation model to calculate and generate a basic evaluation score, which specifically includes the following steps: Classifying the evaluation index data set to generate an environment index subset, a facility index subset, and a service index subset; Extract the quantitative data from each indicator subset, perform numerical mapping according to the preset indicator scoring criteria, and generate a sub-item scoring matrix; The sub-item scoring matrix and the preset weight matrix are subjected to matrix operation to generate a basic evaluation score.

[0011] By adopting the above technical solution, in order to solve the technical problems that the evaluation index system of old communities is complicated, the scoring standards are not unified, and the calculation method is simple and crude, this application first systematically classifies the evaluation indicators according to the three dimensions of environment, facilities and services, and establishes a hierarchical index system; secondly, it designs standardized numerical mapping rules to convert indicator data of different dimensions and scales into comparable sub-item scores; finally, through the matrix operation method, the sub-item scores are compounded with the scientifically determined weight coefficients to obtain objective basic evaluation scores.

[0012] Optionally, the evaluation index data set is classified into indexes to generate an environment index subset, a facility index subset, and a service index subset, which specifically includes the following steps: According to the preset three-level classification system, the evaluation indicators are mapped to the corresponding first-level classification and second-level classification; Based on the preset indicator attribute feature rule library, the evaluation indicators are classified and labeled; According to the preset classification verification rules, the accuracy of the indicator classification results is tested and the correlation matrix between the indicators is established; The verified evaluation indicators are summarized and sorted according to the first-level classification, and finally the environmental indicator subset, facility indicator subset and service indicator subset are generated.

[0013] By adopting the above technical solution, this application first constructs a hierarchical three-level classification framework to provide a clear structural basis for indicator mapping, and then introduces an indicator attribute feature rule library to perform intelligent classification according to the essential attributes of the indicators. According to the preset classification verification rules, an indicator correlation matrix is ​​established to ensure the accuracy of the classification; finally, the verified indicators are integrated according to the first-level classification to form three clearly structured indicator subsets.

[0014] Optionally, reading historical investment data in a sample database, performing time series comparison and horizontal comparison operations on the historical investment data, and outputting an investment benefit coefficient specifically includes the following steps: Extract historical renovation investment data and evaluation result data of the same type of communities from the sample database; Calculate the annual rate of change of the historical investment data to generate a time series comparison coefficient; Compare the investment data of the target cell with the investment data of the cells of the same type to generate a horizontal comparison coefficient; The time series comparison coefficient and the horizontal comparison coefficient are weighted averaged to output an investment benefit coefficient.

[0015] By adopting the above technical solution, the existing technology often only focuses on the input-output ratio of a single project, which cannot fully reflect the dynamic changes and relative levels of investment benefits. This application first extracts historical data of the same type of communities from the sample database to establish a comparable data basis; then calculates the annual change rate of the investment data, and reflects the development trend of investment benefits through time series analysis; then designs a horizontal comparison algorithm to conduct a multi-dimensional benchmarking analysis of the target community and the same type of community; finally, through the weighted average method, the evaluation results of the two dimensions of time series and horizontal dimensions are organically integrated to obtain an objective investment benefit coefficient.

[0016] Optionally, obtaining a property management status coefficient, performing weighted calculation on the basic evaluation score, the investment benefit coefficient, and the property management status coefficient according to a preset weight coefficient, and outputting a comprehensive evaluation index specifically includes the following steps: Collecting property service quality evaluation data, property fee collection rate data and maintenance fund usage data; Quantitatively process the property service quality evaluation data according to preset scoring rules to generate a service quality score; Normalizing the property fee collection rate data and the maintenance fund usage data to generate a fund usage score; Taking a weighted average of the service quality score and the fund utilization score, and outputting a property management status coefficient; The basic evaluation score, investment benefit coefficient and property management status coefficient are substituted into a preset comprehensive evaluation function to calculate and output a comprehensive evaluation index.

[0017] By adopting the above technical solution, since the renovation effect of old communities is closely related to the level of property management, the existing evaluation methods often ignore the property management factors, or simply consider the single dimension of property service quality, resulting in deviations between the evaluation results and the actual situation. This application first comprehensively collects three core data on property service quality, fee collection rate and maintenance fund use, and then converts the property service quality evaluation data into quantitative scores according to the preset scoring rules; through normalization, the funding-related indicators are standardized into comparable scores; then the weighted average method is used to generate the property management status coefficient; finally, through a comprehensive evaluation function, the property management status is scientifically integrated with other evaluation dimensions to output the final comprehensive evaluation index.

[0018] In the second aspect, the present application provides a comprehensive evaluation system for the renovation of old residential areas, including: An evaluation index data set generation module is used to obtain on-site detection data, resident survey data and policy document data to generate an evaluation index data set; A basic evaluation score generating module is used to input the evaluation index data set into a preset technical evaluation model to calculate and generate a basic evaluation score; An investment benefit coefficient output module is used to read the historical investment data in the sample database, perform time series comparison and horizontal comparison operations on the historical investment data, and output the investment benefit coefficient; The comprehensive evaluation index output module is used to obtain the property management status coefficient, perform weighted calculation on the basic evaluation score, the investment benefit coefficient and the property management status coefficient according to a preset weight coefficient, and output a comprehensive evaluation index.

[0019] In a third aspect, the present application provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned comprehensive evaluation method for the renovation of old communities when executing the computer program.

[0020] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-mentioned comprehensive evaluation method for the renovation of old communities.

[0021] In summary, the present application includes at least one of the following beneficial technical effects: 1. This application first obtains three types of basic data, namely physical testing, resident surveys and policy requirements, to ensure the integrity of the evaluation indicators, and uses a preset technical evaluation model for quantitative analysis to ensure the objectivity of the evaluation process; then introduces time series and horizontal comparisons of historical investment data to reflect the sustainability of the transformation benefits; finally, the property management status is included as a key variable in the comprehensive evaluation system, providing a systematic evaluation method for the transformation of old communities and improving the accuracy of the evaluation results; 2. Existing technologies often only focus on the input-output ratio of a single project, which cannot fully reflect the dynamic changes and relative levels of investment benefits. This application first extracts historical data of similar communities from the sample database to establish a comparable data basis; then calculates the annual change rate of investment data, and reflects the development trend of investment benefits through time series analysis; then designs a horizontal comparison algorithm to conduct a multi-dimensional benchmarking analysis of the target community and similar communities; finally, through the weighted average method, the evaluation results of the two dimensions of time series and horizontal dimensions are organically integrated to obtain an objective investment benefit coefficient; 3. Since the renovation effect of old communities is closely related to the level of property management, existing evaluation methods often ignore property management factors, or simply consider the single dimension of property service quality, resulting in deviations between the evaluation results and the actual situation. This application first comprehensively collects three core data on property service quality, fee collection rate and maintenance fund use, and then converts the property service quality evaluation data into quantitative scores according to the preset scoring rules; through normalization, the fund-related indicators are standardized into comparable scores; then the weighted average method is used to generate the property management status coefficient; finally, through a comprehensive evaluation function, the property management status is scientifically integrated with other evaluation dimensions to output the final comprehensive evaluation index. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a flow chart of a comprehensive evaluation method for the renovation of old residential areas according to an embodiment of the present application; Figure 2 It is a flow chart of step S100 in a comprehensive evaluation method for renovation of old residential areas in an embodiment of the present application; Figure 3 It is a flowchart of step S200 in a comprehensive evaluation method for renovation of old residential areas in an embodiment of the present application; Figure 4 It is a flowchart of step S300 in a comprehensive evaluation method for renovation of old residential areas in an embodiment of the present application; Figure 5 It is a flowchart of step S400 in a comprehensive evaluation method for renovation of old residential areas in an embodiment of the present application; Figure 6 This is a module schematic diagram of a comprehensive evaluation system for renovation of old residential areas according to an embodiment of the present application; Figure 7 It is a diagram of the internal structure of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0023] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification and appended claims of the present application, the singular expressions "one", "a kind of", "said", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to any or all possible combinations comprising one or more listed items.

[0024] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0025] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0026] In the first aspect, the present application provides a comprehensive evaluation method for the renovation of old residential areas, referring to Figure 1 , including the following steps: S100, obtaining on-site detection data, resident survey data and policy document data, and generating an evaluation index data set.

[0027] The evaluation index dataset refers to a structured data set that reflects the status of old residential areas, residents’ needs, and policy requirements. The dataset contains three types of key data: objective data obtained from on-site inspections, subjective data obtained from resident questionnaires, and standard data extracted from policy documents.

[0028] Specifically, a multi-source data collection method is used to obtain the data required for evaluation. For example, the physical state data of the building is collected through portable detection equipment to record indicators such as the degree of damage to the building facade and structural safety; household surveys are used to collect residents' opinions on renovation needs, including willingness for infrastructure renovation and environmental improvement needs; at the same time, relevant national and local policy documents are consulted to extract specific indicator requirements for the renovation of old communities. Finally, these heterogeneous data are standardized to form a unified format evaluation indicator data set.

[0029] S200: Input the evaluation index data set into a preset technical evaluation model to calculate and generate a basic evaluation score.

[0030] Among them, the technical evaluation model refers to the mathematical model framework used to process and analyze evaluation index data. By establishing an indicator classification system, setting scoring standards and weight systems, the collected raw data is converted into quantifiable evaluation scores, reflecting the basic conditions of old communities in terms of physical environment, supporting facilities and service levels.

[0031] In this embodiment, the evaluation model is constructed by using the analytic hierarchy process. First, the evaluation indicators are classified according to the environment, facilities and services, and a classification system is established; then, according to the quantitative standards of each indicator, the original data is mapped into a score of a unified scale; finally, the weights of indicators at each level are determined by the expert scoring method, and the basic evaluation score is calculated by weighted summation.

[0032] S300, reading historical investment data in a sample database, performing time series comparison and horizontal comparison operations on the historical investment data, and outputting an investment benefit coefficient.

[0033] Among them, historical investment data refers to the investment records of completed renovation projects stored in the sample database, including renovation costs, funding sources, utilization efficiency, etc. The investment benefit coefficient reflects the relative efficiency of renovation input and output through comparative analysis, providing a reference for investment decisions.

[0034] Specifically, comparative analysis methods are used to evaluate investment benefits. For example, similar communities that have completed renovations in the same area are selected as comparative samples to analyze the annual trends in their renovation investments; at the same time, the investment plans of the target communities are compared horizontally with the sample communities to examine indicators such as the investment per unit area and the coverage rate of renovation content; finally, by setting weights, the results of the time series comparison and horizontal comparison are comprehensively calculated to obtain the investment benefit coefficient.

[0035] S400, obtaining a property management status coefficient, performing weighted calculation on the basic evaluation score, the investment benefit coefficient and the property management status coefficient according to a preset weight coefficient, and outputting a comprehensive evaluation index.

[0036] Among them, the property management status coefficient is a comprehensive indicator reflecting the property service level and operational efficiency of the community, including evaluation results of dimensions such as service quality, charging efficiency and fund utilization.

[0037] Specifically, this embodiment adopts a multi-dimensional comprehensive evaluation method. For example, property management related data are collected through resident satisfaction surveys, property fee collection rate statistics, and maintenance fund usage records; these data are converted into property management status coefficients according to preset scoring rules; then, according to the relative importance of the basic evaluation score, investment benefit coefficient, and property management status coefficient, their respective weight coefficients are determined; finally, a comprehensive evaluation index reflecting the overall status of old residential areas is obtained through weighted calculation.

[0038] In one embodiment, referring to Figure 2 In step S100, on-site detection data, resident survey data and policy document data are obtained to generate an evaluation index data set, which specifically includes the following steps: S110, acquiring building physical status data, infrastructure operation data and environmental monitoring data, and generating on-site detection data.

[0039] Specifically, in step S110, firstly, the building structure integrity data, component damage degree data and material durability data scanned and recorded by the non-destructive testing instrument are obtained; then, the operating parameters of the water supply and drainage system, power supply system and fire protection system collected by the Internet of Things sensor equipment are obtained; the noise level, air quality and green coverage rate data collected and recorded by the environmental monitoring equipment are obtained; finally, all the acquired data are digitized and error corrected to generate field test data in a standard format.

[0040] S120. Use a digital questionnaire system to collect resident information, satisfaction evaluation and renovation demand data to generate resident survey data.

[0041] Among them, the digital questionnaire system is a resident opinion collection platform based on mobile terminals, which is used to collect data such as resident information, satisfaction evaluation and renovation needs.

[0042] Specifically, the survey is conducted through door-to-door visits or online questionnaires. The questionnaire includes basic information such as the age composition of residents, family income, satisfaction scores for the current environment, facilities, and services, and specific needs for renovation content. For example, the survey shows that the proportion of elderly people over 65 years old in a certain community is 35%, the residents' satisfaction score for the community environment is 3.2 points (out of 5 points), and 80% of the residents hope to add charging pile facilities.

[0043] S130. Obtain relevant policy documents, extract evaluation index requirements from the relevant policy documents, and generate policy document data.

[0044] Among them, policy document data refers to specific indicator requirements and standard specifications extracted from policy documents related to the renovation of old communities issued by national and local governments at all levels.

[0045] Specifically, relevant policy documents, including technical guidelines and evaluation standards for the renovation of old residential areas, can be obtained through government portals or government service platforms. Hard indicator requirements can be extracted from these documents, such as the width of residential roads being no less than 4 meters and other specific parameters. At the same time, the renovation directions encouraged by the policy, such as renovation for the elderly and supporting charging facilities, can be sorted out to form a structured policy requirement data table.

[0046] S140. Standardize the on-site test data, resident survey data and policy document data to construct an evaluation index data set.

[0047] Among them, standardization processing refers to the process of converting raw data from different sources and formats into a unified format and dimension.

[0048] Specifically, data preprocessing technology is used for standardization. First, the on-site test data is unified and outliers are processed; then the qualitative evaluation in the resident survey data is converted into quantitative scores; finally, the policy requirements are converted into judgment criteria.

[0049] In one embodiment, referring to Figure 3 In step S200, the evaluation index data set is input into a preset technical evaluation model to calculate and generate a basic evaluation score, which specifically includes the following steps: S210, classifying the evaluation index data set to generate an environment index subset, a facility index subset, and a service index subset.

[0050] Among them, the three-level classification system is a hierarchical indicator classification framework used to systematically organize and manage evaluation indicators. In this embodiment, the indicators are expanded according to three first-level classifications: environment, facilities, and services. Each first-level classification has multiple second-level classifications and third-level classifications. The third-level classification is a specific evaluation indicator, forming a complete indicator classification structure.

[0051] Specifically, in step S210, the evaluation indicators are first mapped to the corresponding first-level classification and second-level classification according to the preset three-level classification system, and then the evaluation indicators are classified and labeled based on the preset indicator attribute feature rule library. According to the preset classification verification rules, the accuracy of the indicator classification results is tested, and a correlation matrix between indicators is established. Finally, the verified evaluation indicators are summarized and organized according to the first-level classification, and finally an environmental indicator subset, a facility indicator subset, and a service indicator subset are generated.

[0052] S220, extracting quantitative data from each indicator subset, performing numerical mapping according to a preset indicator scoring standard, and generating a sub-item scoring matrix.

[0053] Among them, the indicator scoring standard is a set of rules for converting raw data into unified quantitative scores. Corresponding scoring ranges and conversion methods are set for different types of indicators to ensure the comparability and rationality of the scoring results.

[0054] Specifically, the piecewise function method can be used for numerical mapping. For example, for the building facade integrity rate indicator, the score range can be set as 90-100 points for scores above 90%, 70-89 points for scores between 80% and 90%, and 50-69 points for scores between 70% and 80%; for subjective evaluation indicators such as resident satisfaction, the five-level scale method can be used to directly convert them into percentage scores. By mapping and converting the data of each indicator, a matrix containing all indicator scores is finally formed.

[0055] S230: Perform matrix operations on the item scoring matrix and the preset weight matrix to generate basic evaluation scores.

[0056] Among them, the weight matrix reflects the relative importance of different indicators in the evaluation system. Through the scientific weight determination method, an objective and reasonable indicator weight system is established. The matrix operation is to perform mathematical operations on the sub-item scores and the corresponding weights to obtain the final evaluation score.

[0057] Specifically, the analytic hierarchy process can be used to determine the indicator weights. First, the indicator hierarchy is constructed, and then the judgment matrix is ​​established through the expert scoring method to calculate the weight coefficients of indicators at all levels.

[0058] In one embodiment, referring to Figure 4 In step S300, historical investment data in the sample database is read, time series comparison and horizontal comparison operations are performed on the historical investment data, and the investment benefit coefficient is output, which specifically includes the following steps: S310. Extract historical renovation investment data and evaluation result data of communities of the same type from a sample database.

[0059] The sample database is a structured database that stores data related to historical renovation projects, including multi-dimensional information such as renovation investment, implementation content, and evaluation results. The same type of community refers to completed renovation projects that are similar to the target community in terms of construction age, scale, location conditions, etc.

[0060] Specifically, this embodiment extracts sample data from the database based on multi-dimensional screening conditions. For example, renovated communities that are within the second ring road and have a construction area of ​​50,000-80,000 square meters and were built between 1990 and 1995 are selected as samples. The data such as the unit area renovation investment, renovation content coverage, and evaluation scores of these communities are extracted. For example, the unit area renovation investment of a sample community is 850 yuan / square meter, and the evaluation score increased by 25 percentage points after the renovation.

[0061] S320. Calculate the annual change rate of historical investment data and generate a time series comparison coefficient.

[0062] Among them, the annual change rate reflects the changing trend of the transformation investment effect over time. By analyzing the time series characteristics of historical data, the sustainability of investment benefits is evaluated and used to quantify the time dimension performance of investment benefits.

[0063] Specifically, this embodiment uses a month-on-month analysis method to calculate the rate of change. First, the evaluation scores of the sample communities over the years are arranged in chronological order, and the range of change between adjacent years is calculated; then, combined with the investment time series, the corresponding relationship between the investment amount and the evaluation score improvement is analyzed. For example, the evaluation score of a sample community increased by 20% in the first year after the renovation, remained stable in the second year, and decreased by 5% in the third year. Based on this, the average annual change rate is calculated to be 5%, which is finally converted to a time series comparison coefficient of 0.85.

[0064] S330: Compare the investment data of the target cell with the investment data of cells of the same type to generate a horizontal comparison coefficient.

[0065] Among them, the horizontal comparison coefficient evaluates the relative rationality of the investment plan by comparing and analyzing the differences between the target community and the sample community in terms of investment scale, renovation content, expected effects, etc., and can discover the spatial difference characteristics of investment benefits.

[0066] Specifically, this embodiment calculates the difference rate between the target community and the sample community in terms of unit cost, funding source structure, renovation content coverage, etc.; evaluates whether the key areas of the renovation plan meet the actual needs of the community; and predicts the room for improvement in the evaluation score after investment.

[0067] S340, performing weighted averaging on the time series comparison coefficient and the horizontal comparison coefficient, and outputting the investment benefit coefficient.

[0068] Among them, the investment benefit coefficient is an indicator that comprehensively reflects the investment benefits in both time and space dimensions. By reasonably setting the weight coefficient, the results of time series comparison and horizontal comparison are weighted and integrated to form the final benefit evaluation result.

[0069] Specifically, the weighted average method is used to calculate the investment benefit coefficient. First, the weight ratio of time series comparison and horizontal comparison is determined according to the evaluation target, and then the time series comparison coefficient and horizontal comparison coefficient are substituted into the calculation formula, and the final investment benefit coefficient is obtained through weighted average calculation.

[0070] In one embodiment, referring to Figure 5 In step S400, the property management status coefficient is obtained, and a weighted calculation is performed on the basic evaluation score, the investment benefit coefficient and the property management status coefficient according to a preset weight coefficient to output a comprehensive evaluation index, which specifically includes the following steps: S410. Collect property service quality evaluation data, property fee collection rate data and maintenance fund usage data.

[0071] S420: Quantify the property service quality evaluation data according to the preset scoring rules to generate a service quality score.

[0072] S430, normalize the property fee collection rate data and the maintenance fund usage data to generate a fund usage score.

[0073] Specifically, this embodiment uses a linear normalization method for processing. The property fee collection rate is based on 90% as the baseline, and 1 point is added for every 1 percentage point higher than the baseline, and points are deducted accordingly if it is lower than the baseline; the use of the maintenance fund takes into account the utilization rate and the use efficiency, and compares the actual utilization rate with the reasonable use range, and combines the use effect to score.

[0074] S440. Take a weighted average of the service quality score and the fund utilization score, and output the property management status coefficient.

[0075] S450, substituting the basic evaluation score, investment benefit coefficient and property management status coefficient into a preset comprehensive evaluation function, and calculating and outputting a comprehensive evaluation index.

[0076] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0077] On the second aspect, the present application provides a comprehensive evaluation system for the renovation of old communities. The comprehensive evaluation system for the renovation of old communities of the present application is described below in combination with the above-mentioned comprehensive evaluation method for the renovation of old communities.

[0078] Reference Figure 6 , a comprehensive evaluation system for the renovation of old residential areas, including: An evaluation index data set generation module is used to obtain on-site detection data, resident survey data and policy document data to generate an evaluation index data set; A basic evaluation score generation module is used to input the evaluation index data set into a preset technical evaluation model to calculate and generate a basic evaluation score; The investment benefit coefficient output module is used to read the historical investment data in the sample database, perform time series comparison and horizontal comparison operations on the historical investment data, and output the investment benefit coefficient; The comprehensive evaluation index output module is used to obtain the property management status coefficient, perform weighted calculation on the basic evaluation score, investment benefit coefficient and property management status coefficient according to the preset weight coefficient, and output the comprehensive evaluation index.

[0079] In one embodiment, the evaluation index data set generation module includes: On-site detection data acquisition unit, used to obtain building physical status data, infrastructure operation data and environmental monitoring data, and generate on-site detection data; A resident survey data collection unit is used to collect resident information, satisfaction evaluation and renovation demand data using a digital questionnaire system to generate resident survey data; A policy document data collection unit is used to obtain relevant policy documents, extract evaluation index requirements from relevant policy documents, and generate policy document data; The data standardization processing unit is used to standardize the on-site detection data, resident survey data and policy document data to construct an evaluation index data set.

[0080] In one embodiment, the on-site detection data collection unit includes: Building inspection equipment, used to scan and record building structural integrity data, component damage degree data and material durability data through non-destructive inspection instruments; Facility monitoring devices, which are used to collect operating parameters of water supply and drainage systems, power supply systems, and fire protection systems through IoT sensor devices; Environmental monitoring device, used to collect and record noise level, air quality and green coverage data through environmental monitoring equipment; The data processing device is used to perform digital conversion and error correction on all acquired data to generate on-site detection data in a standard format.

[0081] In one embodiment, the basic evaluation score generation module includes: An indicator classification unit is used to classify the evaluation indicator data set to generate an environment indicator subset, a facility indicator subset, and a service indicator subset; A numerical mapping unit is used to extract quantitative data from each indicator subset, perform numerical mapping according to a preset indicator scoring standard, and generate a sub-item scoring matrix; The matrix operation unit is used to perform matrix operations on the sub-item scoring matrix and the preset weight matrix to generate basic evaluation scores.

[0082] In one embodiment, the indicator classification unit includes: A classification mapping device is used to map the evaluation indicators to corresponding primary classifications and secondary classifications according to a preset three-level classification system; A classification and labeling device, used to classify and label the evaluation indicators based on a preset indicator attribute feature rule library; A classification verification device is used to verify the accuracy of the indicator classification results according to the preset classification verification rules and establish a correlation matrix between the indicators; The indicator aggregation device is used to aggregate and organize the verified evaluation indicators according to the first-level classification, and finally generate an environmental indicator subset, a facility indicator subset and a service indicator subset.

[0083] In one embodiment, the investment benefit coefficient output module includes: A historical data extraction unit, used to extract historical renovation investment data and evaluation result data of communities of the same type from a sample database; The time series comparison unit is used to calculate the annual change rate of historical investment data and generate the time series comparison coefficient; A horizontal comparison unit, used to compare the investment data of the target cell with the investment data of cells of the same type to generate a horizontal comparison coefficient; The benefit coefficient calculation unit is used to perform weighted averaging on the time series comparison coefficient and the horizontal comparison coefficient to output the investment benefit coefficient.

[0084] In one embodiment, the comprehensive evaluation index output module includes: Property data collection unit, used to collect property service quality evaluation data, property fee collection rate data and maintenance fund usage data; The service quality scoring unit is used to quantify the property service quality evaluation data according to the preset scoring rules and generate a service quality score; The fund utilization scoring unit is used to normalize the property fee collection rate data and the maintenance fund utilization data to generate a fund utilization score; A status coefficient calculation unit is used to perform a weighted average of the service quality score and the fund utilization score, and output a property management status coefficient; The comprehensive evaluation unit is used to substitute the basic evaluation score, investment benefit coefficient and property management status coefficient into the preset comprehensive evaluation function to calculate and output the comprehensive evaluation index.

[0085] In one embodiment, the present application provides an electronic device, which may be a server, and its internal structure diagram may be as follows: Figure 7 As shown. The electronic device includes a processor, a memory and a network interface connected through a system bus. Among them, the processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the electronic device is used to store data. The network interface of the electronic device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a comprehensive evaluation method for the renovation of old communities is implemented.

[0086] Those skilled in the art will understand that Figure 7 The structure shown in the figure is merely a block diagram of a partial structure related to the scheme of the present application, and does not constitute a limitation on the electronic device to which the scheme of the present application is applied. The specific electronic device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0087] In one embodiment, an electronic device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0088] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the above-mentioned computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), tape, floppy disk, flash memory or optical memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0089] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A comprehensive evaluation method for the renovation of old residential areas, characterized in that: The steps include: Obtain on-site testing data, resident survey data, and policy document data to generate evaluation indicator data sets; Input the evaluation index data set into a preset technical evaluation model to calculate and generate a basic evaluation score; Read historical investment data from a sample database, perform time series comparison and horizontal comparison operations on the historical investment data, and output an investment benefit coefficient; The property management status coefficient is obtained, and according to a preset weight coefficient, weighted calculation is performed on the basic evaluation score, the investment benefit coefficient and the property management status coefficient to output a comprehensive evaluation index.

2. The comprehensive evaluation method for the renovation of old residential areas according to claim 1 is characterized in that: Obtaining on-site test data, resident survey data, and policy document data to generate an evaluation index data set includes the following steps: Obtain building physical status data, infrastructure operation data and environmental monitoring data to generate on-site detection data; A digital questionnaire system is used to collect resident information, satisfaction evaluation and renovation demand data to generate resident survey data; Obtain relevant policy documents, extract evaluation index requirements from the relevant policy documents, and generate policy document data; The field test data, resident survey data and policy document data are standardized to construct an evaluation index data set.

3. The comprehensive evaluation method for the renovation of old residential areas according to claim 2 is characterized in that: Obtain building physical status data, infrastructure operation data and environmental monitoring data to generate on-site detection data, including the following steps: Obtain building structure integrity data, component damage degree data and material durability data scanned and recorded by non-destructive testing instruments; Obtain the operating parameters of the water supply and drainage system, power supply system and fire protection system collected by IoT sensor equipment; Obtain noise level, air quality and green coverage data collected and recorded by environmental monitoring equipment; All acquired data are digitized and error corrected to generate on-site detection data in a standard format.

4. The comprehensive evaluation method for the renovation of old residential areas according to claim 1 is characterized in that: The evaluation index data set is input into a preset technical evaluation model to calculate and generate a basic evaluation score, which specifically includes the following steps: Classifying the evaluation index data set to generate an environment index subset, a facility index subset, and a service index subset; Extract the quantitative data from each indicator subset, perform numerical mapping according to the preset indicator scoring criteria, and generate a sub-item scoring matrix; The sub-item scoring matrix and the preset weight matrix are subjected to matrix operation to generate a basic evaluation score.

5. The comprehensive evaluation method for the renovation of old residential areas according to claim 4 is characterized in that: The evaluation index data set is classified into indexes to generate an environment index subset, a facility index subset, and a service index subset, which specifically includes the following steps: According to the preset three-level classification system, the evaluation indicators are mapped to the corresponding first-level classification and second-level classification; Based on the preset indicator attribute feature rule library, the evaluation indicators are classified and labeled; According to the preset classification verification rules, the accuracy of the indicator classification results is tested and the correlation matrix between the indicators is established; The verified evaluation indicators are summarized and sorted according to the first-level classification, and finally the environmental indicator subset, facility indicator subset and service indicator subset are generated.

6. The comprehensive evaluation method for the renovation of old residential areas according to claim 1 is characterized in that: Reading historical investment data from a sample database, performing time series comparison and horizontal comparison operations on the historical investment data, and outputting an investment benefit coefficient specifically includes the following steps: Extract historical renovation investment data and evaluation result data of the same type of communities from the sample database; Calculate the annual rate of change of the historical investment data to generate a time series comparison coefficient; Compare the investment data of the target cell with the investment data of the cells of the same type to generate a horizontal comparison coefficient; The time series comparison coefficient and the horizontal comparison coefficient are weighted averaged to output an investment benefit coefficient.

7. The comprehensive evaluation method for the renovation of old residential areas according to claim 1 is characterized in that: Obtaining the property management status coefficient, performing weighted calculation on the basic evaluation score, the investment benefit coefficient and the property management status coefficient according to a preset weight coefficient, and outputting a comprehensive evaluation index, specifically includes the following steps: Collecting property service quality evaluation data, property fee collection rate data and maintenance fund usage data; Quantitatively process the property service quality evaluation data according to preset scoring rules to generate a service quality score; Normalizing the property fee collection rate data and the maintenance fund usage data to generate a fund usage score; Taking a weighted average of the service quality score and the fund utilization score, and outputting a property management status coefficient; The basic evaluation score, investment benefit coefficient and property management status coefficient are substituted into a preset comprehensive evaluation function to calculate and output a comprehensive evaluation index.

8. A comprehensive evaluation system for the renovation of old residential areas, characterized in that: include: An evaluation index data set generation module is used to obtain on-site detection data, resident survey data and policy document data to generate an evaluation index data set; A basic evaluation score generating module is used to input the evaluation index data set into a preset technical evaluation model to calculate and generate a basic evaluation score; An investment benefit coefficient output module is used to read the historical investment data in the sample database, perform time series comparison and horizontal comparison operations on the historical investment data, and output the investment benefit coefficient; The comprehensive evaluation index output module is used to obtain the property management status coefficient, perform weighted calculation on the basic evaluation score, the investment benefit coefficient and the property management status coefficient according to a preset weight coefficient, and output a comprehensive evaluation index.

9. An electronic device, characterized in that: It includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the comprehensive evaluation method for the renovation of old communities described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the comprehensive evaluation method for the renovation of old communities described in any one of claims 1-7 are implemented.

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