A county-level rural human settlement environment quality evaluation and calculation system

Abstract

This invention provides a county-level rural living environment quality evaluation and calculation system, belonging to the field of environmental quality evaluation technology. It includes: a calculation control module that constructs a living environment quality evaluation workflow, creates indicator values, weights, and quality evaluation calculation tasks, allocates calculation nodes to the tasks, and controls the flow of calculation tasks; a quality evaluation indicator construction module that establishes a set of evaluation indicators representing production quality, living consumption quality, and ecological environment quality; a data acquisition and processing module that collects and processes data based on each set of evaluation indicators; an evaluation indicator calculation module that calculates the evaluation indicator values ​​and weights for each indicator in each set of evaluation indicators; and a quality index and obstacle factor calculation module that calculates the comprehensive index of living environment quality and the per capita environmental quality level obstacle degree. This invention achieves dynamic evaluation of rural living environment quality through a serial-parallel interactive approach, fully utilizing the multi-threaded characteristics of each calculation node, resulting in high efficiency and reduced computational costs.

Description

Technical Field

[0001] The invention belongs to the technical field of environmental quality evaluation, and in particular relates to a county rural human settlement environment quality evaluation calculation system. Background Art

[0002] With the improvement of living standards, urban development has reached a certain scale, but rural development is relatively lagging behind. Since cities and rural areas are closely related, how to evaluate the quality of rural human settlement environment is an important way to promote rural development and ultimately achieve the parallel development of rural and urban areas. It is also an important support for improving the rural human settlement environment. At present, the evaluation model for rural human settlement environment is mainly based on simple statistical data for calculation. It lacks the medium and micro evaluation scales that comprehensively reflect the spatial and socio-economic attributes, the data integration degree is not high, and the environmental barrier factors cannot be identified. On the other hand, the calculation of the existing rural human settlement environment evaluation model takes a long time and has low calculation efficiency.

[0003] In summary, the evaluation of rural living environment quality is an important part of understanding the current status of rural development, but some evaluation methods lack the medium and micro evaluation scales that comprehensively reflect the spatial and socio-economic attributes, the data integration degree is not high, and the environmental obstacle factors cannot be identified. In addition, the calculation is time-consuming and the calculation efficiency is low.

[0004] This is the shortcoming of the existing technology. Therefore, it is very necessary to provide a county rural living environment quality evaluation and calculation system to address the above-mentioned defects in the existing technology. Summary of the invention

[0005] In view of the above-mentioned defects of the prior art, such as the lack of medium and micro evaluation scales that comprehensively reflect spatial and socio-economic attributes, low data fusion, inability to identify environmental obstacle factors, long calculation time and low calculation efficiency, the present invention provides a county rural human settlement environment quality evaluation calculation system to solve the above-mentioned technical problems.

[0006] The present invention provides a county-level rural human settlement environment quality evaluation and calculation system, comprising:

[0007] The calculation control module is used to build the rural human settlement environment quality evaluation workflow, create indicator calculation tasks, indicator weight calculation tasks and quality evaluation calculation tasks, assign corresponding calculation tasks to corresponding calculation nodes, and control the flow of each calculation task in the calculation node;

[0008] A quality evaluation index construction module is used to establish a first evaluation index set representing production quality, a second evaluation index set representing life consumption quality, and a third evaluation index set representing ecological environment quality; a data collection and processing module is used to collect and process the required data for each target area according to the data type based on each evaluation index set;

[0009] An evaluation index calculation module is used to calculate the evaluation index value and the evaluation index weight of each index in each evaluation index set in the target area through an index calculation node and an index weight calculation node;

[0010] The quality index and obstacle factor calculation module is used to calculate the rural human settlement environment quality comprehensive index and the rural per capita environmental quality level obstacle degree for each target area through the quality evaluation calculation node and based on the evaluation index value and evaluation index weight.

[0011] Furthermore, the calculation control module includes:

[0012] A workflow construction unit, used to add server nodes to build a rural human settlement environment quality evaluation workflow engine;

[0013] The task allocation unit is used to create indicator calculation tasks, indicator weight calculation tasks and quality evaluation tasks, divide the server nodes into indicator calculation nodes, indicator weight calculation nodes and quality evaluation calculation nodes according to the calculation tasks, and allocate the corresponding calculation tasks;

[0014] An indicator calculation task control unit is used to control the indicator calculation node to receive the process execution start instruction of the rural human settlement environment quality evaluation workflow engine, read each evaluation indicator in the indicator data table, and construct a first calculation thread set according to the product of the number of evaluation indicators and the number of rural areas, and assign the calculation of each evaluation indicator of each rural area as a subtask to each calculation thread, start the parallel calculation of each evaluation indicator to obtain each evaluation indicator value, save each evaluation indicator value to the original indicator data table and to the first cache, and update its own node state to the completion state;

[0015] An indicator weight calculation task control unit is used to control the indicator weight calculation node to monitor the first cache, and when it is monitored that the writing of each evaluation indicator value data is completed, read each evaluation indicator value as input, and build a second calculation thread set according to the number of each evaluation indicator value, start the parallel calculation of each evaluation indicator standardization and weight to obtain each evaluation indicator weight, save each evaluation indicator standardized value to the standard indicator data table and save the evaluation indicator weight and standardized value to the second cache, and at the same time update its own node state to the completion state, and notify the rural human settlement environment quality evaluation workflow engine of its own process state;

[0016] The quality evaluation task control unit is used to control the quality evaluation calculation node to listen to the second cache, and when it listens that the writing of the weights and standardized value data of each evaluation indicator is completed, it constructs a third thread set according to three times the number of villages and a fourth thread set according to the number of each evaluation indicator, starts the parallel calculation of the comprehensive index of rural living environment quality and the obstacle degree of rural per capita environmental quality level, saves the calculation results to the quality evaluation index table and the indicator obstacle degree table, updates its own node status to the completion status, and notifies the rural living environment quality evaluation workflow engine of its own process status to end the workflow.

[0017] Furthermore, the quality evaluation index building module includes:

[0018] The production quality characterization indicator set construction unit is used to construct agricultural mechanization level indicators, food productivity indicators, effective irrigation rate indicators, multiple cropping index indicators, rural economic activity intensity indicators, per capita agricultural, forestry, animal husbandry and fishery output value indicators, rural employment rate indicators, rural economic diversity indicators, and corresponding indicator types and indicator identifiers, as well as to construct indicators that negatively characterize the ratio of disposable income of urban and rural residents, and set indicator identifiers for each indicator;

[0019] The life consumption quality characterization indicator set construction unit is used to construct the rural household size indicator, rural resident consumption level indicator, rural leisure facility density indicator, rural power facility level indicator, rural toilet penetration rate indicator, teacher-student ratio indicator, medical situation indicator, road density indicator, and per capita fiscal expenditure indicator that positively characterize the life consumption quality, and set indicator labels for each indicator;

[0020] The unit for constructing a set of indicators representing ecological environment quality is used to construct indicators such as domestic sewage treatment rate, domestic garbage harmless treatment rate, air quality, vegetation index, hydrological index, temperature and humidity index, and biological richness index, which positively represent the quality of ecological level, as well as agricultural non-point source pollution index and terrain relief index, which negatively represent the quality of ecological level, and set indicator labels for each indicator;

[0021] The indicator data table construction unit is used to construct an indicator data table for storing data in units of years for each indicator in the production quality characterization indicator set, the life consumption quality characterization indicator set and the ecological environment indicator characterization indicator set in the target area.

[0022] Furthermore, the data acquisition and processing module includes:

[0023] Statistical data collection unit, used to count the rural population, rural households, cultivated land area as rural basic data; count the total power of agricultural machinery, total grain output, effective irrigation area, sown area, urban per capita disposable income, rural per capita disposable income, total rural production electricity consumption, total output value of agriculture, forestry, animal husbandry and fishery, rural employees data related to production quality characterization indicators; count the rural residents' consumption expenditure, rural life electricity consumption, rural toilets, number of teachers in service, number of local students, total number of rural health technicians, total mileage of rural roads, rural annual fiscal expenditure data related to life consumption quality; count the number of rural domestic sewage centralized treatment households, rural domestic garbage centralized treatment households, pesticide use, fertilizer use and regional GDP data related to ecological environment quality;

[0024] A remote sensing data acquisition unit is used to collect DEM data with a first high spatial resolution in the target area, annual land cover remote sensing images and remote sensing NVDI index data within a set period with a second high spatial resolution;

[0025] The regionalized data collection unit is used to collect the vector base map of administrative sub-regions at all levels in the target area, where the lowest level sub-region is the village administrative region;

[0026] Environmental monitoring data collection unit, used to collect monthly precipitation, monthly temperature and monthly humidity data, as well as annual PM2.5 concentration data and annual PM10 concentration data in the target area within a set period by deploying micro-meteorological stations or setting up meteorological department interfaces;

[0027] The POI data collection unit is used to obtain the business facility data of the target industry in each village administrative area through the map development software interface, and to count the total number of facilities and the number of facilities of each business type; the target industries include catering, accommodation, shopping, leisure and entertainment, life services, and financial insurance services; the DEM data processing unit is used to process the first-height spatial resolution DEM data in the target area through the ArcGIS window analysis method, and calculate the average altitude, maximum altitude, minimum altitude and flat area in the set area window in combination with the division of administrative sub-areas at various levels in the target area;

[0028] The land cover remote sensing image data processing unit processes the annual land cover remote sensing images within the target area within the set period of the second highest spatial resolution through ArcGIS re-separation and raster calculation methods, and obtains the rural forest land, grassland and water area in combination with the administrative sub-region divisions at various levels in the target area;

[0029] The environmental monitoring data processing unit is used to average the monthly precipitation in the environmental monitoring data to obtain the annual precipitation, and to average the monthly temperature data and the monthly humidity data to obtain the monthly average temperature and the monthly average humidity;

[0030] The indicator calculation data storage unit is used to collect data in the target area and construct an indicator calculation variable data table for data storage in units of years after processing the data.

[0031] Furthermore, the evaluation index calculation module includes:

[0032] An evaluation index value calculation unit is used to determine the calculation functions of each index representing production quality, life consumption quality, and ecological environment quality, and calculate the evaluation index value corresponding to each index using the data collected and processed in the target area;

[0033] The evaluation index weight calculation unit is used to standardize the evaluation indicators of production quality characterization, life consumption quality characterization and ecological environment quality characterization according to positive characterization types and negative characterization types, and then use the entropy method to calculate the weight of each evaluation indicator.

[0034] Furthermore, each evaluation index value in the evaluation index value calculation unit is specifically calculated as follows:

[0035] Agricultural mechanization level = total power of agricultural machinery / sown area;

[0036] Food productivity = total food output / sown area;

[0037] Effective irrigation rate = effective irrigation area / cultivated land area;

[0038] Multiple cropping index = sown area / cultivated land area;

[0039] Ratio of urban and rural residents’ disposable income = urban per capita disposable income / rural per capita disposable income;

[0040] Rural economic activity intensity = total electricity consumption in rural production;

[0041] Per capita output value of agriculture, forestry, animal husbandry and fishery = total output value of agriculture, forestry, animal husbandry and fishery / rural population;

[0042] Rural employment rate = rural employment / rural population;

[0043] The formula for calculating rural economic diversity is as follows:

[0044]

[0045] Among them, S represents the rural economic diversity index value, n i is the number of facilities of the i-th type of business format, N is the total number of facilities, and P is the total number of business formats;

[0046] Rural household size = rural population / total number of rural households;

[0047] Rural residents’ consumption level = rural residents’ consumption expenditure / rural population;

[0048] Rural leisure facility density = number of rural leisure and entertainment facilities / rural area;

[0049] Level of rural power facilities = total rural household electricity consumption / rural population;

[0050] Rural toilet penetration rate = number of rural toilets / total number of rural households;

[0051] Teacher-student ratio = number of teachers in service / number of local students;

[0052] Medical situation = number of rural health technicians / rural population × 1000;

[0053] Road density = total mileage of rural roads / area of ​​rural built-up areas;

[0054] Per capita fiscal expenditure = annual rural fiscal expenditure / rural population;

[0055] Domestic sewage treatment rate = number of households with centralized domestic sewage treatment in rural areas / total number of households in rural areas;

[0056] Domestic waste harmless treatment rate = number of households with centralized domestic waste treatment in rural areas / total number of households in rural areas;

[0057] Agricultural non-point source pollution index = (pesticide use + fertilizer application) / cultivated land area;

[0058] Air quality was evaluated by the sum of PM2.5 and PM10 concentrations and GDP;

[0059] Vegetation index was evaluated by remote sensing NVDI index;

[0060] The hydrological index calculation formula is as follows:

[0061] WRI=αP+βW

[0062] Among them, WRI represents the hydrological index, P is the normalized annual precipitation, W is the normalized water area, α and β are the weights of the ratio of precipitation to water area, and the weight can be determined according to the water area of ​​the region;

[0063] The climate index is calculated as follows:

[0064] THI=(1.8t+32)-0.55×(1-f)×(1.8t-26)

[0065] Among them, THI represents the climate index, t is the monthly average temperature, and f is the monthly average relative humidity; the terrain relief is calculated as follows:

[0066]

[0067] Where R is the fluctuation index, M is the average altitude in a window, max(H) and min(H) are the highest altitude and the lowest altitude in the window, P(A) is the flat area in the window, and A is the window area;

[0068] The biodiversity index is calculated as follows:

[0069] B=A bio ·(0.35×S V +0.21×S g +0.28×S u +0.11×S c +0.04×S con +0.01×S q ) / S r ;

[0070] Among them, B is the biological richness index, A bio is the normalized coefficient of the ecological environment quality index, S V , S g , S u , S c , S con , S q , S r They are forest land, grassland, water area, cultivated land, construction land, unused land and total regional land area.

[0071] Furthermore, the standardization process of each evaluation index in the evaluation index weight calculation unit is as follows:

[0072] Evaluation indicators for positive representation:

[0073]

[0074] For the average index of negative representation:

[0075]

[0076] Among them, Z ij is the dimensionless value of the jth indicator of the i-th village, that is, the standardized value, min(x j ) is the minimum value of the jth indicator including all villages, max(x j ) is the maximum value of the jth indicator including all villages, and 0.001 is the data shift to avoid the occurrence of 0 value;

[0077] The specific process of calculating the weight of each evaluation index using the entropy method is as follows:

[0078]

[0079]

[0080] d j =1-e j

[0081]

[0082] Among them, P ij is the proportion of the i-th village under the j-th indicator, e j is the entropy value of the jth evaluation index, d j is the information utility value of the jth evaluation index, W j is the weight of the jth indicator, where 0<e j <1, m is the number of villages in the county, and c is the total number of indicators.

[0083] Further quality index and barrier factor calculation modules include:

[0084] The quality index calculation unit is used to calculate the rural production quality index, the rural life consumption quality index and the rural ecological environment quality index through the quality evaluation calculation node, and then calculate the rural human settlement environment quality comprehensive index based on the rural production quality index, the rural life consumption quality index and the rural ecological environment quality index;

[0085] The obstacle factor calculation unit is used to calculate the obstacle degree of the rural human settlement environment quality level through the quality evaluation calculation node.

[0086] Furthermore, in the quality index calculation unit:

[0087] The calculation formula of rural production quality index is as follows:

[0088] P=Z p ·W p ;

[0089] The calculation formula of rural life consumption quality index is as follows:

[0090] L=Z l ·W l ;

[0091] The calculation formula of rural ecological environment quality index is as follows:

[0092] E=Z e ·W e ;

[0093] The calculation formula of the comprehensive index of rural human settlement environment quality is as follows:

[0094] F=P+L+E

[0095] Among them, P is the rural production quality index matrix, L is the rural life consumption quality index matrix, E is the rural ecological environment quality index matrix, Z p It is expressed as the m×a standardized matrix of indicators of rural production quality, W p is the a×1 indicator weight matrix of rural production quality, a is the number of indicators characterizing rural production quality, Z l It is expressed as the m×b standardized matrix of indicators of rural life consumption quality, W l is the b×1 indicator weight matrix of rural life consumption quality, b is the number of indicators representing rural life consumption quality, Z e It is expressed as the m×c index standardized matrix of rural ecological environment quality, W l is the c×1 indicator weight matrix of rural ecological environment quality, c is the number of indicators characterizing rural ecological environment quality, F is the m×1 rural human settlement environment quality comprehensive index matrix, where the i-th row represents the comprehensive index of human settlement environment quality of the i-th village, and m is the number of rural villages.

[0096] Furthermore, the calculation formula of the obstacle factor in the obstacle factor calculation unit is as follows:

[0097] I j =1-Z j

[0098]

[0099] V j =∑O j

[0100] Among them, I j is the deviation of the jth indicator, Z j is the standardized value of the jth indicator, O j V is the obstacle degree of the jth indicator to the quality level of rural human settlement environment, j is the degree of obstacle of rural production quality, rural life consumption directive and rural ecological environment directive to the quality level of rural living environment, and c is the total number of indicators.

[0101] The beneficial effects of the present invention are:

[0102] The county rural human settlement environment quality evaluation and calculation system provided by the present invention manages the serial calculation process of three types of computing nodes through a workflow engine, and quickly calculates the weights of various evaluation indicators and their weights in each type of computing node by using the OpenMP nested parallelization technology, and quickly integrates the calculation quality comprehensive index and the obstacle factor, and realizes the dynamic evaluation of the rural human settlement environment quality through serial and parallel interaction, making full use of the multi-threaded characteristics of each computing node, with high efficiency and saving computing cost.

[0103] The present invention utilizes multi-source big data to construct multi-dimensional quality evaluation indicators, adopts GIS spatial analysis, entropy method, comprehensive index method and barrier model to perform data fusion analysis, and quickly realizes evaluation model calculation through workflow engine and OpenMP nested parallelization technology.

[0104] In addition, the invention has a reliable design principle, a simple structure and a very broad application prospect.

[0105] It can be seen that compared with the prior art, the present invention has outstanding substantive features and significant progress, and the beneficial effects of its implementation are also obvious. BRIEF DESCRIPTION OF THE DRAWINGS

[0106] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0107] Figure 1 It is a schematic diagram of the county rural human settlement environment quality evaluation calculation system of the present invention.

[0108] Figure 2 It is a schematic diagram of the computing framework of the execution workflow of the county rural human settlement environment quality evaluation computing system of the present invention. DETAILED DESCRIPTION

[0109] In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0110] Embodiment 1:

[0111] like Figure 1 As shown, the present invention provides a county-level rural human settlement environment quality evaluation calculation system, including: a calculation control module, which is used to construct a rural human settlement environment quality evaluation workflow, create indicator calculation tasks, indicator weight calculation tasks and quality evaluation calculation tasks, allocate corresponding calculation tasks to corresponding calculation nodes, and control the flow of each calculation task in the calculation node;

[0112] A quality evaluation index construction module is used to establish a first evaluation index set representing production quality, a second evaluation index set representing life consumption quality, and a third evaluation index set representing ecological environment quality; a data collection and processing module is used to collect and process the required data for each target area according to the data type based on each evaluation index set;

[0113] An evaluation index calculation module is used to calculate the evaluation index value and the evaluation index weight of each index in each evaluation index set in the target area through an index calculation node and an index weight calculation node;

[0114] The quality index and obstacle factor calculation module is used to calculate the rural human settlement environment quality comprehensive index and the rural per capita environmental quality level obstacle degree for each target area through the quality evaluation calculation node and based on the evaluation index value and evaluation index weight.

[0115] Embodiment 2:

[0116] like Figure 1 As shown, the present invention provides a county-level rural human settlement environment quality evaluation calculation system, including: a calculation control module, which is used to construct a rural human settlement environment quality evaluation workflow, create indicator calculation tasks, indicator weight calculation tasks and quality evaluation calculation tasks, allocate corresponding calculation tasks to corresponding calculation nodes, and control the flow of each calculation task in the calculation node; Figure 2 As shown, the computing control module includes:

[0117] A workflow construction unit, used to add server nodes to build a rural human settlement environment quality evaluation workflow engine;

[0118] The task allocation unit is used to create indicator calculation tasks, indicator weight calculation tasks and quality evaluation tasks, divide the server nodes into indicator calculation nodes, indicator weight calculation nodes and quality evaluation calculation nodes according to the calculation tasks, and allocate the corresponding calculation tasks;

[0119] An indicator calculation task control unit is used to control the indicator calculation node to receive the process execution start instruction of the rural human settlement environment quality evaluation workflow engine, read each evaluation indicator in the indicator data table, and construct a first calculation thread set according to the product of the number of evaluation indicators and the number of rural areas, assign the calculation of each evaluation indicator of each rural area as a subtask to each calculation thread, start the parallel calculation of each evaluation indicator to obtain each evaluation indicator value, save each evaluation indicator value to the original indicator data table and to the first cache, and update its own node state to the completion state; the storage format of the original indicator data table is as follows: (region code, year, T1, T2, ... T27);

[0120] The indicator weight calculation task control unit is used to control the indicator weight calculation node to monitor the first cache, and when it is monitored that the writing of each evaluation indicator value data is completed, read each evaluation indicator value as input, and build a second calculation thread set according to the number of each evaluation indicator value, start the parallel calculation of each evaluation indicator standardization and weight to obtain each evaluation indicator weight, save each evaluation indicator standardized value to the standard indicator data table and save the evaluation indicator weight and standardized value to the second cache, and update its own node status to the completed state, and notify the rural human settlement environment quality evaluation workflow engine of its own process status; the storage format of the standard index data table is as follows:

[0121] (area code, year, T1, W1, T2, W2…T27, W27)

[0122] The second computing thread set saves the results to the second cache in the following JSON format:

[0123]

[0124]

[0125] The quality evaluation task control unit is used to control the quality evaluation calculation node to monitor the first cache, and when it is monitored that the writing of the weight and standardized value data of each evaluation indicator is completed, the third thread set is constructed according to three times the number of villages and the fourth thread set is constructed according to the number of each evaluation indicator, and the parallel calculation of the rural human settlement environment quality comprehensive index and the rural per capita environmental quality level obstacle degree is started, and the calculation results are saved in the quality evaluation index table and the indicator obstacle degree table, and at the same time, the node status of itself is updated to the completion status, and the rural human settlement environment quality evaluation workflow engine is notified of its own process status, and the workflow ends;

[0126] The storage format of the quality evaluation index table is as follows: (region code, year, P, L, E, F);

[0127] The storage format of the indicator obstacle table is as follows: (region code, year, Oj, Vj);

[0128] The quality evaluation index construction module is used to establish a first evaluation index set representing production quality, a second evaluation index set representing life consumption quality, and a third evaluation index set representing ecological environment quality; the quality evaluation index construction module includes:

[0129] The production quality characterization indicator set construction unit is used to construct agricultural mechanization level indicators, food productivity indicators, effective irrigation rate indicators, multiple cropping index indicators, rural economic activity intensity indicators, per capita agricultural, forestry, animal husbandry and fishery output value indicators, rural employment rate indicators, rural economic diversity indicators, and corresponding indicator types and indicator identifiers, as well as to construct indicators that negatively characterize the ratio of disposable income of urban and rural residents, and set indicator identifiers for each indicator;

[0130] The life consumption quality characterization indicator set construction unit is used to construct the rural household size indicator, rural resident consumption level indicator, rural leisure facility density indicator, rural power facility level indicator, rural toilet penetration rate indicator, teacher-student ratio indicator, medical situation indicator, road density indicator, and per capita fiscal expenditure indicator that positively characterize the life consumption quality, and set indicator labels for each indicator;

[0131] The unit for constructing a set of indicators representing ecological environment quality is used to construct indicators such as domestic sewage treatment rate, domestic garbage harmless treatment rate, air quality, vegetation index, hydrological index, temperature and humidity index, and biological richness index, which positively represent the quality of ecological level, as well as agricultural non-point source pollution index and terrain relief index, which negatively represent the quality of ecological level, and set indicator labels for each indicator;

[0132] An indicator data table construction unit is used to construct an indicator data table for storing data in units of years for each indicator in the production quality characterization indicator set, the life consumption quality characterization indicator set, and the ecological environment characterization indicator set in the target area;

[0133] The quality evaluation index module constructs 27 evaluation indicators around the three dimensions of rural production quality, life consumption quality and ecological environment quality. After defining the evaluation indicators, the evaluation indicators are uniquely identified as Tn; the data collection and processing module is used to collect and process the required data for each target area according to the data type based on each evaluation indicator set; the data collection and processing module includes:

[0134] Statistical data collection unit, used to count the rural population, rural households, cultivated land area as rural basic data; count the total power of agricultural machinery, total grain output, effective irrigation area, sown area, urban per capita disposable income, rural per capita disposable income, total rural production electricity consumption, total output value of agriculture, forestry, animal husbandry and fishery, rural employees data related to production quality characterization indicators; count the rural residents' consumption expenditure, rural life electricity consumption, rural toilets, number of teachers in service, number of local students, total number of rural health technicians, total mileage of rural roads, rural annual fiscal expenditure data related to life consumption quality; count the number of rural domestic sewage centralized treatment households, rural domestic garbage centralized treatment households, pesticide use, fertilizer use and regional GDP data related to ecological environment quality;

[0135] The remote sensing data acquisition unit is used to collect DEM data with a first spatial resolution in the target area, and remote sensing images of land cover and remote sensing NVDI index data within a set period of a second spatial resolution. For example, the first spatial resolution is 90m in the county, and the second spatial resolution is 30m.

[0136] The regionalized data collection unit is used to collect the vector base map of administrative sub-regions at all levels in the target area, where the lowest level sub-region is the village administrative region;

[0137] Environmental monitoring data collection unit, used to collect monthly precipitation, monthly temperature and monthly humidity data, as well as annual PM2.5 concentration data and annual PM10 concentration data in the target area within a set period by deploying micro-meteorological stations or setting up meteorological department interfaces;

[0138] The POI data collection unit is used to obtain the business facility data of the target industry in each village administrative area through the map development software interface, and to count the total number of facilities and the number of facilities of each business type; the target industries include catering, accommodation, shopping, leisure and entertainment, life services, and financial insurance services; the DEM data processing unit is used to process the first-height spatial resolution DEM data in the target area through the ArcGIS window analysis method, and calculate the average altitude, maximum altitude, minimum altitude and flat area in the set area window in combination with the division of administrative sub-areas at various levels in the target area;

[0139] The land cover remote sensing image data processing unit processes the annual land cover remote sensing images within the target area within the set period of the second highest spatial resolution through ArcGIS re-separation and raster calculation methods, and obtains the rural forest land, grassland and water area in combination with the administrative sub-region divisions at various levels in the target area;

[0140] The environmental monitoring data processing unit is used to average the monthly precipitation in the environmental monitoring data to obtain the annual precipitation, and to average the monthly temperature data and the monthly humidity data to obtain the monthly average temperature and the monthly average humidity;

[0141] The index calculation data storage unit is used to collect data in the target area and construct an index calculation variable data table for storing data in units of years after processing. The index calculation variable data table storage format is as follows:

[0142] (region code, year, Tn, variable 1, variable 2, ..., variable m)

[0143] The evaluation index calculation module is used to calculate the evaluation index value and the evaluation index weight of each index in each evaluation index set in the target area through the index calculation node and the index weight calculation node; the evaluation index calculation module includes:

[0144] The evaluation index value calculation unit is used to determine the calculation functions of each index representing production quality, life consumption quality and ecological environment quality, and use the collected and processed data in the target area to calculate the evaluation index value corresponding to each index; the evaluation index calculation method is as follows:

[0145] x j =F(u1, u2, ..., u n )

[0146] where x j is the jth index value, F is the index calculation function, u n Calculate variables for indicators;

[0147] The specific calculation of each evaluation index value in the evaluation index value calculation unit is as follows:

[0148] Agricultural mechanization level = total power of agricultural machinery / sown area;

[0149] Food productivity = total food output / sown area;

[0150] Effective irrigation rate = effective irrigation area / cultivated land area;

[0151] Multiple cropping index = sown area / cultivated land area;

[0152] Ratio of urban and rural residents’ disposable income = urban per capita disposable income / rural per capita disposable income;

[0153] Rural economic activity intensity = total electricity consumption in rural production;

[0154] Per capita output value of agriculture, forestry, animal husbandry and fishery = total output value of agriculture, forestry, animal husbandry and fishery / rural population;

[0155] Rural employment rate = rural employment / rural population;

[0156] The formula for calculating rural economic diversity is as follows:

[0157]

[0158] Among them, S represents the rural economic diversity index value, n i is the number of type i business facilities, and N is the total number of facilities. The Shannon Diversity Index is used to calculate the rural economic diversity index. The higher the diversity index, the better the types and quantity of commercial facilities in the region.

[0159] Rural household size = rural population / total number of rural households;

[0160] Rural residents’ consumption level = rural residents’ consumption expenditure / rural population;

[0161] Rural leisure facility density = number of rural leisure and entertainment facilities / rural area;

[0162] Level of rural power facilities = total rural household electricity consumption / rural population;

[0163] Rural toilet penetration rate = number of rural toilets / total number of rural households;

[0164] Teacher-student ratio = number of teachers in service / number of local students;

[0165] Medical situation = number of rural health technicians / rural population × 1000;

[0166] Road density = total mileage of rural roads / area of ​​rural built-up areas;

[0167] Per capita fiscal expenditure = annual rural fiscal expenditure / rural population;

[0168] Domestic sewage treatment rate = number of households with centralized domestic sewage treatment in rural areas / total number of households in rural areas;

[0169] Domestic waste harmless treatment rate = number of households with centralized domestic waste treatment in rural areas / total number of households in rural areas;

[0170] Agricultural non-point source pollution index = (pesticide use + fertilizer application) / cultivated land area;

[0171] Air quality was evaluated by the sum of PM2.5 and PM10 concentrations and GDP;

[0172] Vegetation index was evaluated by remote sensing NVDI index;

[0173] The hydrological index calculation formula is as follows:

[0174] WRI=αP+βW

[0175] Among them, WRI represents the hydrological index, P is the normalized annual precipitation, W is the normalized water area, α and β are the weights of the ratio of precipitation to water area, and the weight can be determined according to the water area of ​​the region;

[0176] The hydrological index reflects an important indicator of the effective reserve of regional natural water resources. This application uses the proportion of precipitation and water area to characterize the abundance and scarcity of regional water resources. The former reflects the size of the natural water supply capacity of the region under natural conditions, and the latter represents the strength of the regional water collection and sinking capacity.

[0177] The climate index is calculated as follows:

[0178] THI=(1.8t+32)-0.55×(1-f)×(1.8t-26)

[0179] Among them, THI represents the climate index, t is the monthly average temperature, and f is the monthly average relative humidity; the climate index is an evaluation index of climate suitability. This application selects the temperature and humidity index as the climate index; the terrain relief is calculated as follows:

[0180]

[0181] Among them, R is the fluctuation index, M is the average altitude in a window, max(H) and min(H) are the highest altitude and the lowest altitude in the window respectively, P(A) is the flat area in the window, and A is the window area. For example, A can be 4.72km 2 as the window size; 500 is used as the base mountain height, and areas with a slope less than 5° are defined as flat land;

[0182] The biodiversity index is calculated as follows:

[0183] B=A bio ·(0.35×S V +0.21×S g +0.28×S u +0.11×S c +0.04×S con +0.01×S q ) / S r ;

[0184] Among them, B is the biological richness index, A bio is the normalization coefficient of the ecological environment quality index, with a value of 511.264, S V , S g , S u , S c , Scon , S q , S r They are forest land, grassland, water area, cultivated land, construction land, unused land and total land area of ​​the region;

[0185] The evaluation index weight calculation unit is used to standardize the evaluation indexes of production quality characterization, life consumption quality characterization and ecological environment quality characterization according to the positive characterization type and the negative characterization type, and then use the entropy method to calculate the weight of each evaluation index; the standardization process of each evaluation index in the evaluation index weight calculation unit is as follows:

[0186] Evaluation indicators for positive representation:

[0187]

[0188] For the average index of negative representation:

[0189]

[0190] Among them, Z ij is the dimensionless value of the jth indicator of the i-th village, that is, the standardized value, min(x j ) is the minimum value of the jth indicator including all villages, max(x j ) is the maximum value of the jth indicator including all villages, and 0.001 is the data shift to avoid the occurrence of 0 value;

[0191] Before weight calculation, the indicator data needs to be dimensionless. Since the positive and negative indicator values ​​have different meanings, the higher the positive indicator value, the better, and the lower the negative indicator value, the better. Therefore, this application uses different algorithms for dimensionless data processing for high and low indicators.

[0192] The specific process of calculating the weight of each evaluation index using the entropy method is as follows:

[0193]

[0194]

[0195] d j =1-e j

[0196]

[0197] Among them, P ij is the proportion of the i-th village under the j-th indicator, e j is the entropy value of the jth evaluation index, d j is the information utility value of the jth evaluation index, W jis the weight of the jth indicator, where 0<e j <1, m is the number of villages in the county;

[0198] The quality index and barrier factor calculation module is used to calculate the rural human settlement environment quality comprehensive index and the rural per capita environmental quality level barrier degree for each target area through the quality evaluation calculation node and based on the evaluation index value and evaluation index weight; the quality index and barrier factor calculation module includes:

[0199] The quality index calculation unit is used to calculate the rural production quality index, rural life consumption quality index and rural ecological environment quality index through the quality evaluation calculation node, and then calculate the rural human settlement environment quality comprehensive index based on the rural production quality index, rural life consumption quality index and rural ecological environment quality index; in the quality index calculation unit:

[0200] The calculation formula of rural production quality index is as follows:

[0201] P=Z p ·W p ;

[0202] The calculation formula of rural life consumption quality index is as follows:

[0203] L=Z l ·W l ;

[0204] The calculation formula of rural ecological environment quality index is as follows:

[0205] E=Z e ·W e ;

[0206] The calculation formula of the comprehensive index of rural human settlement environment quality is as follows:

[0207] F=P+L+E

[0208] Among them, P is the rural production quality index matrix, L is the rural life consumption quality index matrix, E is the rural ecological environment quality index matrix, Z p It is expressed as the m×a standardized matrix of indicators of rural production quality, W p is the a×1 indicator weight matrix of rural production quality, a is the number of indicators characterizing rural production quality, Z l It is expressed as the m×b standardized matrix of indicators of rural life consumption quality, W l is the b×1 indicator weight matrix of rural life consumption quality, b is the number of indicators representing rural life consumption quality, Z e It is expressed as the m×c index standardized matrix of rural ecological environment quality, W lis the c×1 indicator weight matrix of rural ecological environment quality, c is the number of indicators characterizing rural ecological environment quality, F is the m×1 rural human settlement environment quality comprehensive index matrix, where the i-th row represents the human settlement environment quality comprehensive index of the i-th village, and m is the number of villages; for example, in this application, a is 9, b is 9, and c is 9;

[0209] The obstacle factor calculation unit is used to calculate the obstacle degree of the rural human settlement environment quality level through the quality evaluation calculation node; the obstacle degree factor calculation formula in the obstacle factor calculation unit is as follows:

[0210] I j =1-Z j

[0211]

[0212] V j =∑O j

[0213] Among them, I j is the deviation of the j-th indicator, Zj is the standardized value of the j-th indicator, O j V is the obstacle degree of the jth indicator to the quality level of rural human settlement environment, j It is the degree of obstacle of rural production quality, rural life consumption directives and rural ecological environment directives to the quality level of rural living environment.

[0214] Although the present invention has been described in detail with reference to the accompanying drawings and in combination with the preferred embodiments, the present invention is not limited thereto. Without departing from the spirit and essence of the present invention, a person of ordinary skill in the art may make various equivalent modifications or substitutions to the embodiments of the present invention, and these modifications or substitutions shall be within the scope of the present invention. Any person of ordinary skill in the art may easily think of changes or substitutions within the technical scope disclosed by the present invention, and these shall be within the scope of protection of the present invention.

Claims

1. A county-level rural human settlement environment quality evaluation and calculation system, characterized in that: include: The calculation control module is used to build the rural human settlement environment quality evaluation workflow, create indicator calculation tasks, indicator weight calculation tasks and quality evaluation calculation tasks, assign corresponding calculation tasks to corresponding calculation nodes, and control the flow of each calculation task in the calculation node; A quality evaluation index construction module is used to establish a first evaluation index set representing production quality, a second evaluation index set representing life consumption quality, and a third evaluation index set representing ecological environment quality; The data collection and processing module is used to collect and process the required data for each target area according to the data type based on each evaluation index set; An evaluation index calculation module is used to calculate the evaluation index value and the evaluation index weight of each index in each evaluation index set in the target area through an index calculation node and an index weight calculation node; The quality index and obstacle factor calculation module is used to calculate the rural human settlement environment quality comprehensive index and the rural per capita environmental quality level obstacle degree for each target area through the quality evaluation calculation node and based on the evaluation index value and evaluation index weight; The computing control module includes: A workflow construction unit, used to add server nodes to build a rural human settlement environment quality evaluation workflow engine; The task allocation unit is used to create indicator calculation tasks, indicator weight calculation tasks and quality evaluation tasks, divide the server nodes into indicator calculation nodes, indicator weight calculation nodes and quality evaluation calculation nodes according to the calculation tasks, and allocate the corresponding calculation tasks; An indicator calculation task control unit is used to control the indicator calculation node to receive the process execution start instruction of the rural human settlement environment quality evaluation workflow engine, read each evaluation indicator in the indicator data table, and construct a first calculation thread set according to the product of the number of evaluation indicators and the number of rural areas, and assign the calculation of each evaluation indicator of each rural area as a subtask to each calculation thread, start the parallel calculation of each evaluation indicator to obtain each evaluation indicator value, save each evaluation indicator value to the original indicator data table and to the first cache, and update its own node state to the completion state; An indicator weight calculation task control unit is used to control the indicator weight calculation node to monitor the first cache, and when it is monitored that the writing of each evaluation indicator value data is completed, read each evaluation indicator value as input, and build a second calculation thread set according to the number of each evaluation indicator value, start the parallel calculation of each evaluation indicator standardization and weight to obtain each evaluation indicator weight, save each evaluation indicator standardized value to the standard indicator data table and save the evaluation indicator weight and standardized value to the second cache, and at the same time update its own node state to the completion state, and notify the rural human settlement environment quality evaluation workflow engine of its own process state; The quality evaluation task control unit is used to control the quality evaluation calculation node to listen to the second cache, and when it listens that the writing of the weights and standardized value data of each evaluation indicator is completed, it constructs a third thread set according to three times the number of villages and a fourth thread set according to the number of each evaluation indicator, starts the parallel calculation of the comprehensive index of rural living environment quality and the obstacle degree of rural per capita environmental quality level, saves the calculation results to the quality evaluation index table and the indicator obstacle degree table, updates its own node status to the completion status, and notifies the rural living environment quality evaluation workflow engine of its own process status to end the workflow.

2. The county rural human settlement environment quality evaluation and calculation system as claimed in claim 1, characterized in that: The quality evaluation indicator building blocks include: The production quality characterization indicator set construction unit is used to construct agricultural mechanization level indicators, food productivity indicators, effective irrigation rate indicators, multiple cropping index indicators, rural economic activity intensity indicators, per capita agricultural, forestry, animal husbandry and fishery output value indicators, rural employment rate indicators, rural economic diversity indicators, and corresponding indicator types and indicator identifiers, as well as to construct indicators that negatively characterize the ratio of disposable income of urban and rural residents, and set indicator identifiers for each indicator; The life consumption quality characterization indicator set construction unit is used to construct the rural household size indicator, rural resident consumption level indicator, rural leisure facility density indicator, rural power facility level indicator, rural toilet penetration rate indicator, teacher-student ratio indicator, medical situation indicator, road density indicator, and per capita fiscal expenditure indicator that positively characterize the life consumption quality, and set indicator labels for each indicator; The unit for constructing a set of indicators representing ecological environment quality is used to construct indicators such as domestic sewage treatment rate, domestic garbage harmless treatment rate, air quality, vegetation index, hydrological index, temperature and humidity index, and biological richness index, which positively represent the quality of ecological level, as well as agricultural non-point source pollution index and terrain relief index, which negatively represent the quality of ecological level, and set indicator labels for each indicator; The indicator data table construction unit is used to construct an indicator data table for storing data in units of years for each indicator in the production quality characterization indicator set, the life consumption quality characterization indicator set and the ecological environment indicator characterization indicator set in the target area.

3. The county rural human settlement environment quality evaluation and calculation system as claimed in claim 2, characterized in that: The data acquisition and processing modules include: Statistical data collection unit, used to count the rural population, rural households, cultivated land area as rural basic data; count the total power of agricultural machinery, total grain output, effective irrigation area, sown area, urban per capita disposable income, rural per capita disposable income, total rural production electricity consumption, total output value of agriculture, forestry, animal husbandry and fishery, rural employees data related to production quality characterization indicators; count the rural residents' consumption expenditure, rural life electricity consumption, rural toilets, number of teachers in service, number of local students, total number of rural health technicians, total mileage of rural roads, rural annual fiscal expenditure data related to life consumption quality; count the number of rural domestic sewage centralized treatment households, rural domestic garbage centralized treatment households, pesticide use, fertilizer use and regional GDP data related to ecological environment quality; A remote sensing data acquisition unit is used to collect DEM data with a first high spatial resolution in the target area, annual land cover remote sensing images and remote sensing NVDI index data within a set period with a second high spatial resolution; The regionalized data collection unit is used to collect the vector base map of administrative sub-regions at all levels in the target area, where the lowest level sub-region is the village administrative region; Environmental monitoring data collection unit, used to collect monthly precipitation, monthly temperature and monthly humidity data, as well as annual PM2.5 concentration data and annual PM10 concentration data in the target area within a set period by deploying micro-meteorological stations or setting up meteorological department interfaces; The POI data collection unit is used to obtain the business facility data of the target industry within the administrative area of ​​each village through the map development software interface, and to count the total number of facilities and the number of facilities of each business format; the target industries include catering, accommodation, shopping, leisure and entertainment, life services, and financial insurance services; The DEM data processing unit is used to process the first-height spatial resolution DEM data in the target area through the window analysis method of ArcGIS, and calculate the average altitude, the highest altitude, the lowest altitude and the flat area in the set area window in combination with the administrative sub-region divisions at various levels in the target area; The land cover remote sensing image data processing unit processes the annual land cover remote sensing images within the target area within the set period of the second highest spatial resolution through ArcGIS re-separation and raster calculation methods, and obtains the rural forest land, grassland and water area in combination with the administrative sub-region divisions at various levels in the target area; The environmental monitoring data processing unit is used to average the monthly precipitation in the environmental monitoring data to obtain the annual precipitation, and to average the monthly temperature data and the monthly humidity data to obtain the monthly average temperature and the monthly average humidity; The indicator calculation data storage unit is used to collect data in the target area and construct an indicator calculation variable data table for data storage in units of years after processing the data.

4. The county rural human settlement environment quality evaluation and calculation system as claimed in claim 3, characterized in that: The evaluation index calculation module includes: An evaluation index value calculation unit is used to determine the calculation functions of each index representing production quality, life consumption quality, and ecological environment quality, and calculate the evaluation index value corresponding to each index using the data collected and processed in the target area; The evaluation index weight calculation unit is used to standardize the evaluation indicators of production quality characterization, life consumption quality characterization and ecological environment quality characterization according to positive characterization types and negative characterization types, and then use the entropy method to calculate the weight of each evaluation indicator.

5. The county rural human settlement environment quality evaluation and calculation system as claimed in claim 4, characterized in that: The specific calculation of each evaluation index value in the evaluation index value calculation unit is as follows: Agricultural mechanization level = total power of agricultural machinery / sown area; Food productivity = total food output / sown area; Effective irrigation rate = effective irrigation area / cultivated land area; Multiple cropping index = sown area / cultivated land area; Ratio of urban and rural residents’ disposable income = urban per capita disposable income / rural per capita disposable income; Rural economic activity intensity = total electricity consumption in rural production; Per capita output value of agriculture, forestry, animal husbandry and fishery = total output value of agriculture, forestry, animal husbandry and fishery / rural population; Rural employment rate = rural employment / rural population; The formula for calculating rural economic diversity is as follows: Among them, S represents the rural economic diversity index value, n i is the number of facilities of the i-th type of business format, N is the total number of facilities, and P is the total number of business formats; Rural household size = rural population / total number of rural households; Rural residents’ consumption level = rural residents’ consumption expenditure / rural population; Rural leisure facility density = number of rural leisure and entertainment facilities / rural area; Level of rural power facilities = total rural household electricity consumption / rural population; Rural toilet penetration rate = number of rural toilets / total number of rural households; Teacher-student ratio = number of teachers in service / number of local students; Medical situation = number of rural health technicians / rural population × 1000; Road density = total mileage of rural roads / area of ​​rural built-up areas; Per capita fiscal expenditure = annual rural fiscal expenditure / rural population; Domestic sewage treatment rate = number of households with centralized domestic sewage treatment in rural areas / total number of households in rural areas; Domestic waste harmless treatment rate = number of households with centralized domestic waste treatment in rural areas / total number of households in rural areas; Agricultural non-point source pollution index = (pesticide use + fertilizer application) / cultivated land area; Air quality was evaluated by the sum of PM2.5 and PM10 concentrations and GDP; Vegetation index was evaluated by remote sensing NVDI index; The hydrological index calculation formula is as follows: WRI=αP+βW Among them, WRI represents the hydrological index, P is the normalized annual precipitation, W is the normalized water area, α and β are the weights of the ratio of precipitation to water area, and the weight is determined according to the water area of ​​the region; The climate index is calculated as follows: THI=(1.8t+32)-0.55×(1-f)×(1.8t-26) Among them, THI represents the climate index, t is the monthly average temperature, and f is the monthly average relative humidity; The terrain relief is calculated as follows: Where R is the fluctuation index, M is the average altitude in a window, max(H) and min(H) are the highest altitude and the lowest altitude in the window, P(A) is the flat area in the window, and A is the window area; The biodiversity index is calculated as follows: B=A bio ·(0.35×S V +0.21×S g +0.28×S u +0.11×S c +0.04×S con +0.01×S q ) / S r ; Among them, B is the biological richness index, A bio is the normalized coefficient of the ecological environment quality index, SV, Sg, Su, Sc, Scon, Sq and Sr are forest land, grassland, water area, cultivated land, construction land, unused land and total land area of ​​the region, respectively.

6. The county rural human settlement environment quality evaluation and calculation system as claimed in claim 4, characterized in that: The standardization process of each evaluation index in the evaluation index weight calculation unit is as follows: Evaluation indicators for positive representation: For the average index of negative representation: Among them, Z ij is the dimensionless value of the jth indicator of the i-th village, that is, the standardized value, min(x j ) is the minimum value of the jth indicator including all villages, max(x j ) is the maximum value of the jth indicator including all villages, and 0.001 is the data shift to avoid the occurrence of 0 value; The specific process of calculating the weight of each evaluation index using the entropy method is as follows: d j =1-e j Among them, P ij is the proportion of the i-th village under the j-th indicator in this evaluation indicator, e j is the entropy value of the j-th evaluation indicator, d j is the information utility value of the j-th evaluation indicator, W j is the weight of the j-th indicator, where 0 < ej < 1, m is the number of rural villages in the county, and c is the total number of indicators.

7. The county rural human settlement environment quality evaluation and calculation system as claimed in claim 6, characterized in that: The quality index and barrier factor calculation modules include: The quality index calculation unit is used to calculate the rural production quality index, the rural life consumption quality index and the rural ecological environment quality index through the quality evaluation calculation node, and then calculate the rural human settlement environment quality comprehensive index based on the rural production quality index, the rural life consumption quality index and the rural ecological environment quality index; The obstacle factor calculation unit is used to calculate the obstacle degree of the rural human settlement environment quality level through the quality evaluation calculation node.

8. The county rural human settlement environment quality evaluation and calculation system as claimed in claim 7, characterized in that: In the quality index calculation unit: The calculation formula of rural production quality index is as follows: P=Z p ·IN p ; The calculation formula of rural life consumption quality index is as follows: L=Z l ·IN l ; The calculation formula of rural ecological environment quality index is as follows: E=Z e ·IN e ; The calculation formula of the comprehensive index of rural human settlement environment quality is as follows: F=P+L+E Among them, P is the rural production quality index matrix, L is the rural life consumption quality index matrix, E is the rural ecological environment quality index matrix, Z p It is expressed as the m×a standardized matrix of indicators of rural production quality, W p is the a×1 indicator weight matrix of rural production quality, a is the number of indicators characterizing rural production quality, Z l It is expressed as the m×b standardized matrix of indicators of rural life consumption quality, W l is the b×1 indicator weight matrix of rural life consumption quality, b is the number of indicators representing rural life consumption quality, Z e It is expressed as the m×c index standardized matrix of rural ecological environment quality, W l is the c×1 indicator weight matrix of rural ecological environment quality, c is the number of indicators characterizing rural ecological environment quality, F is the m×1 rural human settlement environment quality comprehensive index matrix, where the i-th row represents the comprehensive index of human settlement environment quality of the i-th village, and m is the number of rural villages.

9. The county rural human settlement environment quality evaluation and calculation system as claimed in claim 8, characterized in that: The calculation formula of the obstacle factor in the obstacle factor calculation unit is as follows: I j =1-Z j V j =ΣO j Among them, Ij is the deviation of the j-th indicator, Zj is the standardized value of the j-th indicator, Oj is the obstacle degree of the j-th indicator to the quality level of rural living environment, Vj is the obstacle degree of rural production quality, rural life consumption instructions and rural ecological environment instructions to the quality level of rural living environment, and c is the total number of indicators.

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