Methods, systems, equipment and media for detecting the development types of rural complex industries

Abstract

The present invention relates to a method, system, equipment and medium for detecting the development type of rural complex industries, wherein the method comprises: selecting any administrative village with a villagers' committee from a plurality of rural data as an object to be detected; determining the suitability of rural complex development for the object to be detected based on the prerequisite indicators; if the object to be detected reaches the preset suitability threshold, determining the comprehensive relative evaluation value of each functional indicator of the object to be detected; based on the comprehensive relative evaluation value of each functional indicator, obtaining a comprehensive relative score through subjective and objective weights; according to the comprehensive score, selecting one or more types of development models as the development type of the object to be detected. The present invention has the advantages of reliable and convenient data source, simple method operation, objective and accurate results, and forward-looking prediction of objects, which makes up for the shortcomings of a single domestic evaluation stage and strong subjectivity of the evaluation results. At the same time, the present invention also outputs recommended industry types for the resource advantage of administrative villages.

Description

Technical Field

[0001] The present invention relates to the technical field of rural resource advantage evaluation, and in particular to a method, system, equipment and medium for detecting the industrial development type of a rural complex. Background Art

[0002] Since the concept of "rural complex" was proposed, dozens of national, provincial and municipal rural complex projects have been piloted and initially practiced across the country, and certain experience has been accumulated in construction and development. At the research level, some scholars have formed a number of theoretical explorations around its development type, construction characteristics, system elements, design strategies and other aspects. Among them, the evaluation system or detection method based on the rural complex as one of the favorable guarantees for guiding its incremental and stock development has research value. Therefore, starting from the top-level design, scientific evaluation and diagnosis of the existing resource advantages of the rural complex is a prerequisite for ensuring the rationality and effectiveness of its future industrial development.

[0003] At present, there is still a lack of professional guidance on the access mechanism and development guidance of rural complexes, and the specific operational path for development type research is still unclear. At present, the selection of domestic pilot projects is mainly based on policy and qualitative evaluation, and its development positioning mainly relies on market investment entities, lacking effective professional guidance and diversified intervention. Secondly, the existing detection and evaluation methods are lacking in systematicity and comprehensiveness. Existing studies generally focus on specific system elements or a certain development stage of rural complexes, lacking a full system and full process perspective. Finally, no research has started from the resource advantage under the influence of internal and external sources of the village, coupled with the basic and characteristic industry development modules advocated by national policies, and used objective relative scoring methods to obtain methods to predict the industrial development types of rural complexes. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the above-mentioned shortcomings and deficiencies of the prior art, the present invention provides a method, system, equipment and medium for detecting the development type of rural complex industries, which solves the technical problem that the prior art is difficult to make a reasonable evaluation and prediction of the development type of rural complexes.

[0006] (II) Technical solution

[0007] In order to achieve the above object, the main technical solutions adopted by the present invention include:

[0008] In a first aspect, an embodiment of the present invention provides a method for detecting the development type of a rural complex industry, comprising:

[0009] Select any administrative village with a villagers' committee from the obtained multiple village data as the object to be tested;

[0010] Determine the suitability of the object to be tested for the development of a rural complex based on prerequisite indicators including locational advantages, agricultural foundation and economic conditions;

[0011] If the object to be detected reaches the preset suitability threshold, then determine the comprehensive relative evaluation value of various functional indicators of the object to be detected, including basic industries and characteristic industries;

[0012] Based on the comprehensive relative evaluation values ​​of the functional indicators, a comprehensive score is obtained by combining subjective and objective weights;

[0013] According to the comprehensive score, one or more types of development patterns are selected as the development type of the object to be detected.

[0014] Optionally, before selecting any administrative village with a villagers' committee from the obtained multiple village data as the object to be detected, the method further includes:

[0015] Obtain indicator data for all administrative villages with village committees in the study area;

[0016] A basic database of rural complex industry development types is established based on the indicator data.

[0017] Optionally, the indicator data includes prerequisite indicators and functional indicators;

[0018] The prerequisite indicators include location advantage group, agricultural foundation group and economic condition group;

[0019] The location advantage group includes: a first prerequisite indicator, a second prerequisite indicator and a third prerequisite indicator; the first prerequisite indicator is the shortest distance between the regional geometric center and the nearest county-level or higher administrative unit, the second priority indicator is the shortest distance between the regional geometric center and the township road or higher-level road, and the third priority indicator is the shortest distance between the regional geometric center and the nearest transportation station or highway entrance and exit;

[0020] The agricultural foundation group includes: the fourth prerequisite indicator, the fifth prerequisite indicator and the sixth prerequisite indicator; the fourth prerequisite indicator is the land productivity obtained by agricultural added value ÷ cultivated land area, the fifth prerequisite indicator is the agricultural mechanization level obtained by total agricultural machinery power ÷ cultivated land area, and the sixth prerequisite indicator is the per capita cultivated land area obtained by cultivated land area ÷ registered population;

[0021] The economic condition group includes: the seventh prerequisite indicator, the eighth prerequisite indicator and the ninth prerequisite indicator; the seventh prerequisite indicator is the village collective income, the eighth prerequisite indicator is the rural construction land area, and the ninth prerequisite indicator is the village population;

[0022] The functional indicators include basic industries and characteristic industries;

[0023] The basic industries include modern agriculture group, comprehensive supporting group and ecological environment group;

[0024] The modern agriculture group includes: a first functional indicator, a second functional indicator, a third functional indicator, a fourth functional indicator and a fifth functional indicator; the first functional indicator is the agricultural industrialization level obtained by dividing the agricultural product processing value by the total agricultural output value; the second functional indicator is the agricultural utilization rate obtained by dividing the cultivated land area operated by the agricultural labor force by the total cultivated land area; the third functional indicator is the agricultural product quality obtained by dividing (the output of pollution-free products + the output of green food + the output of organic food) by the total output of regional agricultural products; the fourth functional indicator is the number of rural migrant agricultural practitioners in the city; and the fifth functional indicator is the food consumption expenditure of urban residents;

[0025] The comprehensive supporting group includes: the sixth functional index, the seventh functional index, the eighth functional index, the ninth functional index, the tenth functional index and the eleventh functional index; the sixth functional index is the rural road network density obtained by the total length of roads in the region ÷ the total area of ​​administrative villages, the seventh functional index is the street lamp laying rate obtained by the length of rural roads with street lamps ÷ the total road length, the eighth functional index is the harmless sanitary toilet penetration rate obtained by the number of harmless sanitary toilets (i.e. toilets with feces harmless treatment facilities and used and managed in accordance with regulations) ÷ the total number of rural toilets, the ninth functional index is the tap water access rate obtained by the number of tap water households ÷ the total number of households, the tenth functional index is the urban road network density obtained by the total length of roads in the city ÷ the total area of ​​administrative villages, and the eleventh functional index is the commuting time obtained by the average travel time from the regional geometric center to the city center;

[0026] The ecological environment group includes: the twelfth functional index, the thirteenth functional index, the fourteenth functional index, the fifteenth functional index, the sixteenth functional index and the seventeenth functional index; the twelfth functional index is the rural environmental air quality good rate obtained by dividing the number of days with good environmental air quality by ÷ 365 days, the thirteenth functional index is the rural greening coverage rate obtained by (regional greening area-regional built-up area greening area) ÷ (regional planned total area-built-up area), the fourteenth functional index is the rural domestic sewage treatment rate obtained by the domestic sewage treatment volume ÷ the domestic sewage generation volume, the fifteenth functional index is the comprehensive utilization rate of livestock and poultry manure obtained by the livestock and poultry manure utilization volume ÷ the livestock and poultry manure generation volume, the sixteenth functional index is the urban environmental air quality good rate obtained by dividing the number of days with good urban environmental air quality by ÷ 365 days, and the seventeenth functional index is the urban greening coverage rate obtained by (regional greening area-regional built-up area greening area) ÷ (regional planned total area-built-up area);

[0027] The featured industries include the Internet group, culture group, tourism group, health care group, science and technology innovation group, education group and green processing group;

[0028] The Internet group includes: an eighteenth functional indicator, a nineteenth functional indicator, a twentieth functional indicator, and a twenty-first functional indicator; the eighteenth functional indicator is the rural Internet penetration rate obtained by dividing the number of households with Internet access by the total number of households, the nineteenth functional indicator is the number of Baidu search related items with the village name as a keyword, the twenty-third functional indicator is the urban Internet penetration rate obtained by dividing the number of households with Internet access by the total number of households, and the twenty-first functional indicator is the number of Baidu search related items with the city name as a keyword;

[0029] The cultural group includes: the 22nd functional indicator, the 23rd functional indicator, the 24th functional indicator, the 25th functional indicator, the 26th functional indicator, the 27th functional indicator, the 28th functional indicator and the 29th functional indicator; the 22nd functional indicator is the number of libraries, bookstores and cultural stations, the 23rd functional indicator is the number of folk art groups spontaneously organized by villagers and registered with the village committee, the 24th functional indicator is the proportion of cultural and entertainment expenditures, the 25th functional indicator includes news and information services, content creation and production, creative design services, cultural communication channels, cultural investment and operation, cultural entertainment and leisure services, cultural assistance The 26th functional indicator is the number of rural-related industries in nine categories, including production and intermediary services, cultural equipment production, and cultural consumption terminal production. The 27th functional indicator is the number of folk art groups spontaneously organized by urban citizens and registered with the Civil Affairs Bureau. The 28th functional indicator is the proportion of urban cultural and entertainment expenditures. The 29th functional indicator is the number of urban-related industries in nine categories, including urban news and information services, content creation and production, creative design services, cultural communication channels, cultural investment and operation, cultural entertainment and leisure services, cultural auxiliary production and intermediary services, cultural equipment production, and cultural consumption terminal production.

[0030] The tourism group includes: the 30th function index, the 31st function index, the 32nd function index and the 33rd function index; the 30th function index is the tourism resource rate obtained by (the number of national scenic spots × 4 + the number of provincial scenic spots × 3 + the number of county-level scenic spots × 2 + the number of general scenic spots × 1) ÷ the cumulative total score of all scenic spots in the region, the 31st function index is the scale of households carrying out tourism reception, the 32nd function index is the number of urban tourism enterprises, and the 33rd function index is the number of foreign tourists in the city per year;

[0031] The health care group includes: the 34th function indicator, the 35th function indicator, the 36th function indicator, the 37th function indicator, the 38th function indicator and the 39th function indicator; the 34th function indicator is the distance from the regional geometric center to the nearest Class A hospital, the 35th function indicator is the number of Class A hospitals within 50 km of the regional geometric center, the 36th function indicator is the number of beds per 100 people, the 37th function indicator is the number of rural nursing homes and retirement homes, the 38th function indicator is the proportion of the elderly population in the city, and the 39th function indicator is the number of beds in existing elderly care facilities in the city;

[0032] The science and technology innovation group includes: the 40th functional indicator, the 41st functional indicator, the 42nd functional indicator and the 43rd functional indicator; the 40th functional indicator is the number of policies related to entrepreneurship information obtained by searching the county government official website with the village name as the keyword, the 41st functional indicator is the proportion of the number of scientific and technical personnel in the city obtained by dividing the number of scientific and technical personnel by the total population, the 42nd functional indicator is the proportion of the city's scientific research output value obtained by dividing the scientific research output value by the total output value, and the 43rd functional indicator is the number of scientific research institutions in the city;

[0033] The education group includes: the 44th functional indicator, the 45th functional indicator, the 46th functional indicator, the 47th functional indicator, the 48th functional indicator, the 49th functional indicator, the 50th functional indicator and the 51st functional indicator; the 44th functional indicator is the number of existing educational institutions in rural areas, the 45th functional indicator is the average number of students per teacher, the 46th functional indicator is the proportion of full-time teachers with bachelor's degrees or above in compulsory education schools, the 47th functional indicator is the graduation rate of compulsory education, the 48th functional indicator is the number of existing educational institutions in cities, the 49th functional indicator is the average number of students per teacher in cities, the 50th functional indicator is the proportion of full-time teachers with bachelor's degrees or above in urban compulsory education schools, and the 51st functional indicator is the graduation rate of urban compulsory education;

[0034] The green processing group includes: the 52nd functional index, which is the proportion of agricultural product processing value obtained by dividing the agricultural product processing value by the total agricultural output value;

[0035] The city mentioned here refers to the administrative unit where the village administration belongs to the county or above or the administrative unit within the nearest county or above.

[0036] Optionally, determining the suitability of the object to be detected for the development of a rural complex based on prerequisite indicators including locational advantages, agricultural foundation and economic conditions includes:

[0037] The original data of all the prerequisite indicators of the object to be detected are normalized, and the proportion of the jth prerequisite indicator of the i-th village sample is obtained by formula (1):

[0038]

[0039] In formula (1), n ​​is the number of rural samples, m is the evaluation index, and Y ij is the jth prerequisite indicator of the i-th village sample, i and j are both positive integers;

[0040] Based on the proportion of the prerequisite indicators, the indicator information entropy is obtained through formula (2):

[0041]

[0042] In formula (2), k=1 / ln(n)>0, n is a positive integer;

[0043] The total score of all prerequisite indicators is obtained by formula (3):

[0044]

[0045]

[0046] In formula (3), E i The value is between 0 and 1.0.

[0047] Optionally, if the object to be detected reaches a preset suitability threshold, determining the comprehensive relative evaluation value of various functional indicators of the object to be detected including basic industries and characteristic industries includes:

[0048] If the total score of all prerequisite indicators of the object to be tested is not less than the lower limit of 0.2 to 0.4 and not greater than the upper limit of 0.65 to 0.9, the jth functional indicator of the i-th village sample is dimensionlessly homogenized:

[0049] The functional indicators after homogenization are normalized, information entropy calculated, and objective weight calculated in turn, and finally the weighted scores are obtained:

[0050] According to the maximum and minimum values ​​in the weighted scores, the distance between the target sample and the optimal value and the worst value is obtained;

[0051] Based on the distance between the target sample and the optimal value and the worst value, the comprehensive relative evaluation value of the jth functional indicator of the i-th village sample is obtained;

[0052] The homogenization result is obtained by formula (5):

[0053]

[0054] In formula (5), the X ij is the original data value of the jth functional indicator of the i-th village sample;

[0055] The normalized result is obtained by formula (6):

[0056]

[0057] The information entropy result is obtained by formula (7):

[0058] d j =1-e j (7)

[0059] The objective weight is obtained by formula (8):

[0060]

[0061] The weighted score is obtained by formula (9) and (10):

[0062] (Z ij ) nxm =w j P ij (9)

[0063]

[0064] The distance between the optimal value and the worst value is obtained by formula (11):

[0065]

[0066] In formula (11), is the maximum Z value of the jth functional index in all village samples, is the minimum Z value of the jth functional index in all village samples;

[0067] The comprehensive relative evaluation value is obtained by formula (12):

[0068]

[0069] Optionally, based on the comprehensive relative evaluation values ​​of the functional indicators, a comprehensive score is obtained by combining subjective and objective weights, including:

[0070] Randomly select no less than 5 review experts with senior professional titles in the fields of architecture, planning or environment and belonging to the provincial expert database to score the impact weights of the three levels of location advantages, agricultural foundation and economic conditions on the five types of industrial development: agricultural characteristics, cultural tourism, education and scientific innovation, health care and green processing;

[0071] According to the comprehensive relative evaluation values ​​of the functional indicators and the scoring results, the following comprehensive scores are obtained:

[0072] The final score of the characteristic agricultural type is: T1 = X1a + Y1b + Z1c + S + D;

[0073] The final score of the cultural tourism type is: T2 = X2a + Y2b + Z2c + S + D + E + F;

[0074] The final score of the educational science and technology innovation type is: T3 = X3a + Y3b + Z3c + S + D + H + I;

[0075] The final score of the healthy elderly care type is: T4 = X4a + Y4b + Z4c + S + D + G;

[0076] The final classification of the green processing type is: T5 = X5a + Y5b + Z5c + S + D + J;

[0077] Among them, the total score of the comprehensive relative evaluation value of all indicators of the basic industries is S, and all indicators of the Internet group, cultural group, tourism group, health care group, science and technology innovation group, education group and green processing group in the characteristic industries are D, E, F, G, H, I, and J respectively; the weights of the three levels of location advantages, agricultural foundation, and economic conditions for the characteristic agricultural type are X1, Y1, and Z1, the weights for the cultural tourism type are X2, Y2, and Z2, the weights for the education and science and technology innovation type are X3, Y3, and Z3, the weights for the health and elderly care type are X4, Y4, and Z4, and the weights for the green processing type are X5, Y5, and Z5.

[0078] Optionally, according to the comprehensive score, selecting one or more types of development patterns as the development type of the object to be detected includes:

[0079] Select the type with the highest score among the various scores in the comprehensive score as the development type of the object to be detected;

[0080] When the scores of multiple development types are equal, multiple types of development patterns with the same scores are selected as the development type of the object to be detected.

[0081] In a second aspect, an embodiment of the present invention provides a rural complex industrial development type detection system, including:

[0082] A selection module is used to select any administrative village with a villagers' committee from the acquired multiple village data as an object to be detected;

[0083] A suitability determination module is used to determine the suitability of the object to be detected for the development of a rural complex based on prerequisite indicators including location advantages, agricultural foundation and economic conditions;

[0084] An evaluation and scoring module is used to obtain various evaluation scores of the object to be detected based on functional indicators including basic industries and characteristic industries if the object to be detected reaches a preset suitability threshold;

[0085] The final evaluation output module is used to obtain a comprehensive score based on the comprehensive relative evaluation values ​​of the functional indicators and combined with subjective and objective weights;

[0086] The development type determination module is used to select one or more types of development patterns as the development type of the object to be detected according to the comprehensive score.

[0087] In a third aspect, an embodiment of the present invention provides a device for detecting the development type of a rural complex industry, including:

[0088] at least one database;

[0089] and a memory in communication with the at least one database;

[0090] Among them, the memory stores instructions that can be executed by the at least one database, and the instructions are executed by the at least one database so that the at least one database can execute the rural complex industry development type detection method as described above.

[0091] In a fourth aspect, an embodiment of the present invention provides a computer-readable medium having machine-executable instructions stored thereon, which, when executed by a processor, implement a method for detecting the development type of a rural complex industry as described above.

[0092] (III) Beneficial effects

[0093] The present invention is a detection method for calculating the relative scores of the data of the villages to be detected, and finally judging the suitable industrial types for the candidate villages to develop into rural complexes according to the ranking of the scores. The present invention has the advantages of reliable and convenient data sources, simple method operation, objective and accurate results, and forward-looking prediction of objects, which makes up for the shortcomings of the existing domestic research and evaluation stages being single and the judgment results being highly subjective. At the same time, the present invention is also suitable for detecting and evaluating the resource advantages of administrative villages that intend to develop into rural complexes, and outputting recommended industrial types based on the resource advantages of administrative villages. BRIEF DESCRIPTION OF THE DRAWINGS

[0094] Figure 1 A schematic diagram of a method for detecting the type of industrial development of a rural complex provided by the present invention;

[0095] Figure 2 A schematic diagram of a specific process before step S1 of a method for detecting the development type of a rural complex industry provided by the present invention;

[0096] Figure 3 A specific flow chart of step S2 of a method for detecting the development type of a rural complex industry provided by the present invention;

[0097] Figure 4 A specific flow chart of step S3 of a method for detecting the development type of a rural complex industry provided by the present invention;

[0098] Figure 5 A specific flow chart of step S4 of a method for detecting the development type of a rural complex industry provided by the present invention;

[0099] Figure 6 A schematic diagram of the composition of a rural complex industrial development type detection system provided by the present invention;

[0100] Figure 7 This is a flow chart of the overall solution of a method for detecting the development type of rural complex industries provided by the present invention.

[0101] [Description of Reference Numerals]

[0102] 100: Hierarchical storage evaluation system;

[0103] 110: data acquisition module;

[0104] 120: Evaluation function building block;

[0105] 130: Grading standard determination module;

[0106] 140: Evaluate the numerical solution module. DETAILED DESCRIPTION

[0107] In order to better explain the present invention and facilitate understanding, the present invention is described in detail below through specific implementation modes in conjunction with the accompanying drawings.

[0108] like Figure 1 As shown, a method for detecting the development type of a rural complex industry proposed in an embodiment of the present invention comprises: first, selecting any administrative village with a villagers' committee from a plurality of acquired rural data as an object to be detected; secondly, determining the suitability of the rural complex development of the object to be detected based on prerequisite indicators including location advantages, agricultural foundation and economic conditions; then, if the object to be detected reaches a preset suitability threshold, determining the comprehensive relative evaluation value of various functional indicators of the object to be detected including basic industries and characteristic industries; furthermore, obtaining a comprehensive score based on the comprehensive relative evaluation value of various functional indicators combined with expert experience; finally, selecting one or more types of development models as the development type of the object to be detected based on the comprehensive score.

[0109] The present invention is a detection method for calculating the relative scores of the data of the villages to be detected, and finally judging the suitable industrial types for the candidate villages to develop into rural complexes according to the ranking of the scores. The present invention has the advantages of reliable and convenient data sources, simple method operation, objective and accurate results, and forward-looking prediction of objects, which makes up for the shortcomings of the existing domestic research and evaluation stages being single and the judgment results being highly subjective. At the same time, the present invention is also suitable for detecting and evaluating the resource advantages of administrative villages that intend to develop into rural complexes, and outputting recommended industrial types based on the resource advantages of administrative villages.

[0110] In order to better understand the above technical solution, exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided to enable a clearer and more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0111] Specifically, the present invention provides a method for detecting the development type of a rural complex industry, comprising:

[0112] S1. Select any administrative village with a villagers' committee from the obtained multiple village data as the object to be detected.

[0113] like Figure 2 As shown, before step S1, it also includes:

[0114] F11. Obtain indicator data for all administrative villages with village committees in the study area.

[0115] F12. Establish a basic database of rural complex industry development types based on indicator data.

[0116] First, we obtain the indicator data of all administrative villages with village committees in the study area, and establish a basic database of the development types of rural complex industries in the study area. The specific indicator data and sources of the target area are shown in Table 1. The indicators with "1" as the beginning of the functional indicators (basic industries and characteristic industries) are all endogenous resources, and the data source of the indicators is based on the administrative village division scope. The indicators with "2" as the beginning of the indicators are all urban influences, and the data source of the indicators is based on the administrative units of the county or above to which the village administration belongs or the nearest county or above.

[0117] S2. Determine the suitability of the rural complex development for the tested objects based on the prerequisite indicators including location advantages, agricultural foundation and economic conditions.

[0118] The suitability of rural complex development is determined based on the total values ​​of all quantitative indicators at the three levels of location advantages, agricultural foundation, and economic conditions. When the village to be tested meets the conditions that the total score threshold Ei is not less than the lower limit of 0.2-0.4 and not greater than the upper limit of 0.65-0.9, it enters the next stage. Otherwise, it indicates that the basic conditions of the village object are poor and are not suitable for further development into a rural complex. Therefore, return to stage 1 to re-select the target village.

[0119] Furthermore, all indicators of the present invention are shown in Table 1:

[0120] Table 1 Evaluation index table

[0121]

[0122]

[0123]

[0124]

[0125] Among them, the indicators containing "city" are all data within the administrative units where the village administration belongs to the county or above or within the scope of the nearest county or above administrative units.

[0126] like Figure 3 As shown, step S2 includes:

[0127] S21. Normalize the original data of all the prerequisite indicators of the object to be detected, and use formula (1) to obtain the jth prerequisite indicator proportion of the i-th village sample:

[0128]

[0129] In formula (1), n ​​is the number of rural samples, m is the evaluation index; Y ij is the jth prerequisite indicator of the ith rural sample, and both i and j are positive integers.

[0130] S21. Based on the proportion of the prerequisite indicators, the indicator information entropy is obtained through formula (2):

[0131]

[0132] In formula (2), k=1 / ln(n)>0, n is a positive integer;

[0133] S21. The total score of all prerequisite indicators is obtained by formula (3):

[0134]

[0135]

[0136] In formula (3), E i The value is between 0 and 1.0. The total scores of all indicators within the location advantage, agricultural foundation, and economic conditions are recorded as a, b, and c respectively.

[0137] S3. If the object to be detected reaches the preset suitability threshold, the comprehensive relative evaluation value of various functional indicators of the object to be detected, including basic industries and characteristic industries, is determined.

[0138] The functional indicator scoring stage includes two categories: basic industries and characteristic industries, and both include two types of quantitative indicators: endogenous resources and urban influence. Endogenous resources refer to the resource element evaluation indicators within the scope of rural zoning, and urban influence refers to the resource element evaluation indicators within the administrative county and above or the nearest county and above. Among them, the basic indicators include: A. Modern agriculture group, B. Comprehensive supporting group, and C. Ecological environment group. The characteristic indicators include: D. Internet group, E. Culture group, F. Tourism group, G. Health care group, H. Science and technology group, I. Education group, and J. Green processing group. Quantitative indicators are used for evaluation in this stage. The description, dimension and data source of the seven groups of indicators are shown in Table 1.

[0139] like Figure 4 As shown, step S3 includes:

[0140] S31. If the total score of all prerequisite indicators of the object to be tested is not less than the lower limit of 0.2 to 0.4 and not greater than the upper limit of 0.65 to 0.9, the jth functional indicator of the ith rural sample is homogenized.

[0141] S32. The homogenized functional indicators are normalized, information entropy and weighted in turn to obtain a weighted score.

[0142] S33. According to the maximum and minimum values ​​in the weighted scores, the distance between the target sample and the optimal value and the worst value is obtained.

[0143] S34. Based on the distance between the optimal value and the worst value of the target sample, the comprehensive relative evaluation value of the jth functional indicator of the ith rural sample is obtained.

[0144] The homogenization result is obtained by formula (5):

[0145]

[0146] In formula (5), X ij is the original data value of the jth functional indicator of the i-th village sample;

[0147] The normalized result is obtained by formula (6):

[0148]

[0149] The information entropy result is obtained through formula (7):

[0150] d j =1-e j (7)

[0151] The objective weight is obtained by formula (8):

[0152]

[0153] The weighted score is obtained by formula (9) and (10):

[0154] (Z ij ) nxm =w j P ij (9)

[0155]

[0156] The distance between the optimal value and the worst value is obtained by formula (11):

[0157]

[0158] In formula (11), is the maximum Z value of the jth functional index in all village samples, is the minimum Z value of the jth functional index in all village samples;

[0159] The comprehensive relative evaluation value is obtained by formula (12):

[0160]

[0161] S4. Based on the comprehensive relative evaluation value of each functional indicator and combined with expert experience, a comprehensive score is obtained.

[0162] like Figure 5 As shown, step S4 includes:

[0163] S41. Randomly select no less than 5 review experts with senior professional titles in the fields of architecture, planning or environment and belonging to the provincial expert database to score the impact weights of the three levels of location advantages, agricultural foundation and economic conditions on the five types of industrial development: agricultural characteristics, cultural tourism, education and scientific innovation, health care and green processing; the value is 0.1-1.0 (accurate to the first decimal place), and the result is the arithmetic average score (accurate to the third decimal place)

[0164] S42. Based on the comprehensive relative evaluation values ​​and scoring results of various functional indicators, the following comprehensive scores are obtained:

[0165] The final score of the characteristic agricultural type is: T1 = X1a + Y1b + Z1c + S + D;

[0166] The final score of cultural tourism type is: T2 = X2a + Y2b + Z2c + S + D + E + F;

[0167] The final score of the educational science and technology innovation type is: T3 = X3a + Y3b + Z3c + S + D + H + I;

[0168] The final score of the healthy elderly care type is: T4 = X4a + Y4b + Z4c + S + D + G;

[0169] The final classification of green processing types is: T5 = X5a + Y5b + Z5c + S + D + J;

[0170] Among them, the total score of the comprehensive relative evaluation value of all indicators of the basic industries is S, and all indicators of the Internet group, cultural group, tourism group, health care group, science and technology innovation group, education group and green processing group in the characteristic industries are D, E, F, G, H, I, and J respectively; the weights of the three levels of location advantages, agricultural foundation, and economic conditions for the characteristic agricultural type are X1, Y1, and Z1, the weights for the cultural tourism type are X2, Y2, and Z2, the weights for the education and science and technology innovation type are X3, Y3, and Z3, the weights for the health and elderly care type are X4, Y4, and Z4, and the weights for the green processing type are X5, Y5, and Z5.

[0171] S5. Based on the comprehensive score, select one or more types of development patterns as the development type of the object to be detected.

[0172] Step S5 includes:

[0173] S51. Select the type with the highest score among all items in the comprehensive score as the development type of the object to be detected.

[0174] S52. When the scores of multiple development types are equal, multiple types of development patterns are selected as the development types of the object to be detected.

[0175] like Figure 6 As shown, a rural complex industrial development type detection system 100 includes:

[0176] The selection module 110 is used to select any administrative village with a villagers' committee from the acquired multiple village data as an object to be detected.

[0177] The suitability determination module 120 is used to determine the suitability of the rural complex development of the detected object based on prerequisite indicators including location advantages, agricultural foundation and economic conditions.

[0178] The evaluation score module 130 is used to obtain various evaluation scores of the object to be detected based on functional indicators including basic industries and characteristic industries if the object to be detected reaches a preset suitability threshold.

[0179] The final evaluation output module 140 is used to obtain the final evaluation based on the evaluation scores of each item and in combination with the expert experience.

[0180] The development type determination module 150 is used to select one or more types of development patterns as the development type of the object to be detected based on the comprehensive score.

[0181] Since the system / device described in the above embodiments of the present invention is a system / device used to implement the method of the above embodiments of the present invention, a person skilled in the art can understand the specific structure and deformation of the system / device based on the method described in the above embodiments of the present invention, and thus will not be described in detail here. All systems / devices used in the method of the above embodiments of the present invention belong to the scope of protection of the present invention.

[0182] In addition, the present invention also provides a device for detecting the development type of a rural complex industry, comprising: at least one database; and a memory communicatively connected to the at least one database; wherein the memory stores instructions that can be executed by at least one database, and the instructions are executed by at least one database so that at least one database can execute a method for detecting the development type of a rural complex industry as described above.

[0183] Furthermore, the present invention provides a computer-readable medium having machine-executable instructions stored thereon, characterized in that when the executable instructions are executed by a processor, a method for detecting the development type of a rural complex industry as described above is implemented.

[0184] In summary, the present invention discloses a method, system, device and medium for detecting the development type of rural complex industry. Figure 7 As shown, the present invention provides a detection method suitable for the development type of rural pastoral complex industries, and the specific steps consist of five stages: target data acquisition, prerequisite determination, functional index scoring, comprehensive score aggregation, and development type evaluation. It is a detection method that calculates the relative scores of candidate villages and finally judges the suitable industry type for the candidate villages to develop into a pastoral complex according to the position of the scores.

[0185] Based on the above technical solution, it can be seen that the present invention has the following advantages:

[0186] (1) Starting from the advantages of rural internal and external resources, coupled with the basic and characteristic industry development categories advocated by national policies, an objective relative score calculation method is used to predict the development type of rural complex.

[0187] (2) Different from the direct output type of traditional evaluation methods, this invention subdivides the two index stages of prerequisite indicators and functional indicators, totaling 3 levels and 10 functional groups. Through the effective combination of groups, the suitable development type of rural complex is finally generated, with more accurate results and more scientific process.

[0188] (3) Different from the situation where only objective weights are used for ranking without fully considering the actual significance of the indicators and the human interference caused by only subjective weights, the aggregate ranking method adopted by the present invention combines subjective and objective weights and has both accuracy and objectivity.

[0189] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems or machine program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a machine program product implemented on one or more machine-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing machine-usable program codes.

[0190] The present invention is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and obtained machine program products according to the embodiments of the present invention. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions.

[0191] It should be noted that in the claims, any reference numerals placed between brackets shall not be construed as limiting the claims. The word "comprising" does not exclude the presence of components or steps not listed in the claims. The word "a" or "an" preceding a component does not exclude the presence of a plurality of such components. The invention may be implemented by means of hardware comprising several different components and by means of a suitably programmed machine. In the claims enumerating several means, several of these means may be embodied by the same hardware. The use of the words first, second, third, etc., is for convenience of expression only and does not indicate any order. These words may be understood as part of the component name.

[0192] In addition, it should be noted that, in the description of this specification, the description of the terms "one embodiment", "some embodiments", "embodiment", "example", "specific example" or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in a suitable manner in any one or more embodiments or examples. In addition, those skilled in the art may combine and modularize the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are contradictory.

[0193] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments after knowing the basic creative concept. Therefore, the claims should be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present invention.

[0194] Obviously, those skilled in the art can make various modifications and variations to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention should also include these modifications and variations.

Claims

1. A method for detecting the development type of rural complex industry, characterized in that: include: Select any administrative village with a villagers' committee from the obtained multiple village data as the object to be tested; Determine the suitability of the object to be tested for the development of a rural complex based on prerequisite indicators including locational advantages, agricultural foundation and economic conditions; If the object to be detected reaches the preset suitability threshold, then determine the comprehensive relative evaluation value of various functional indicators of the object to be detected, including basic industries and characteristic industries; Based on the comprehensive relative evaluation values ​​of the functional indicators, a comprehensive score is obtained by combining subjective and objective weights; Selecting one or more types of development patterns as the development type of the object to be detected according to the comprehensive score; in, The suitability of the rural complex development of the object to be tested is determined based on the prerequisite indicators including location advantages, agricultural foundation and economic conditions, including: The original data of all the prerequisite indicators of the object to be detected are normalized, and the proportion of the jth prerequisite indicator of the i-th village sample is obtained by formula (1): In formula (1), n ​​is the number of rural samples, Y ij is the jth prerequisite indicator of the i-th village sample, i and j are both positive integers; Based on the proportion of the prerequisite indicators, the indicator information entropy is obtained through formula (2): In formula (2), k=1 / ln(n)>0, n is a positive integer; The total score of all prerequisite indicators is obtained by formula (3): In formula (3) and formula (4), m is the total number of indicators, E i The value of is between 0 and 1.0; And, if the object to be detected reaches the preset suitability threshold, the comprehensive relative evaluation value of each functional index of the object to be detected including basic industries and characteristic industries is determined, including: If the total score of all prerequisite indicators of the object to be tested is not less than the lower limit of 0.2 to 0.4 and not greater than the upper limit of 0.65 to 0.9, the jth functional indicator of the i-th village sample is dimensionlessly homogenized: The functional indicators after homogenization are normalized, information entropy calculated, and objective weight calculated in turn, and finally the weighted scores are obtained: According to the maximum and minimum values ​​in the weighted scores, the distance between the target sample and the optimal value and the worst value is obtained; Based on the distance between the target sample and the optimal value and the worst value, the comprehensive relative evaluation value of the jth functional indicator of the i-th village sample is obtained; The homogenization result is obtained by formula (5): In formula (5), the X ij is the original data value of the jth functional indicator of the i-th village sample; The normalized result is obtained by formula (6): The information entropy result is obtained by formula (7): d j =1-e j (7) The objective weight is obtained by formula (8): The weighted score is obtained by formula (9) and (10): (WITH ij ) nxm =in j P ij (9) The distance between the optimal value and the worst value is obtained by formula (11): In formula (11), is the maximum Z value of the jth functional index in all village samples, is the minimum Z value of the jth functional index in all village samples; The comprehensive relative evaluation value is obtained by formula (12): And, based on the comprehensive relative evaluation values ​​of the functional indicators, the comprehensive scores obtained by combining the subjective and objective weights include: Randomly select no less than 5 review experts with senior professional titles in the fields of architecture, planning or environment and belonging to the provincial expert database to score the impact weights of the three levels of location advantages, agricultural foundation and economic conditions on the five types of industrial development: agricultural characteristics, cultural tourism, education and scientific innovation, health care and green processing; According to the comprehensive relative evaluation values ​​of the functional indicators and the scoring results, the following comprehensive scores are obtained: The final score of the characteristic agricultural type is: T1 = X1a + Y1b + Z1c + S + D; The final score of the cultural tourism type is: T2 = X2a + Y2b + Z2c + S + D + E + F; The final score of the educational science and technology innovation type is: T3 = X3a + Y3b + Z3c + S + D + H + I; The final score of the healthy elderly care type is: T4 = X4a + Y4b + Z4c + S + D + G; The final classification of the green processing type is: T5 = X5a + Y5b + Z5c + S + D + J; Among them, the total score of the comprehensive relative evaluation value of all indicators of the basic industries is S, and all indicators of the Internet group, cultural group, tourism group, health care group, science and technology innovation group, education group and green processing group in the characteristic industries are D, E, F, G, H, I, and J respectively; the weights of the three levels of location advantages, agricultural foundation, and economic conditions for the characteristic agricultural type are X1, Y1, and Z1, the weights for the cultural tourism type are X2, Y2, and Z2, the weights for the education and science and technology innovation type are X3, Y3, and Z3, the weights for the health and elderly care type are X4, Y4, and Z4, and the weights for the green processing type are X5, Y5, and Z5.

2. A method for detecting the development type of rural complex industry as claimed in claim 1, characterized in that: Before selecting any administrative village with a villagers' committee from the obtained multiple village data as the object to be detected, it also includes: Obtain indicator data for all administrative villages with village committees in the study area; A basic database of rural complex industry development types is established based on the indicator data.

3. A method for detecting the development type of rural complex industry as claimed in claim 2, characterized in that: The indicator data include prerequisite indicators and functional indicators; The prerequisite indicators include location advantage group, agricultural foundation group and economic condition group; The location advantage group includes: a first prerequisite indicator, a second prerequisite indicator and a third prerequisite indicator; the first prerequisite indicator is the shortest distance between the regional geometric center and the nearest county-level or higher administrative unit, the second priority indicator is the shortest distance between the regional geometric center and the township road or higher-level road, and the third priority indicator is the shortest distance between the regional geometric center and the nearest transportation station or highway entrance and exit; The agricultural foundation group includes: the fourth prerequisite indicator, the fifth prerequisite indicator and the sixth prerequisite indicator; the fourth prerequisite indicator is the land productivity obtained by agricultural added value ÷ cultivated land area, the fifth prerequisite indicator is the agricultural mechanization level obtained by total agricultural machinery power ÷ cultivated land area, and the sixth prerequisite indicator is the per capita cultivated land area obtained by cultivated land area ÷ registered population; The economic condition group includes: the seventh prerequisite indicator, the eighth prerequisite indicator and the ninth prerequisite indicator; the seventh prerequisite indicator is the village collective income, the eighth prerequisite indicator is the rural construction land area, and the ninth prerequisite indicator is the village population; The functional indicators include basic industries and characteristic industries; The basic industries include modern agriculture group, comprehensive supporting group and ecological environment group; The modern agriculture group includes: a first functional indicator, a second functional indicator, a third functional indicator, a fourth functional indicator and a fifth functional indicator; the first functional indicator is the agricultural industrialization level obtained by dividing the agricultural product processing value by the total agricultural output value; the second functional indicator is the agricultural utilization rate obtained by dividing the cultivated land area operated by the agricultural labor force by the total cultivated land area; the third functional indicator is the agricultural product quality obtained by dividing (the output of pollution-free products + the output of green food + the output of organic food) by the total output of regional agricultural products; the fourth functional indicator is the number of rural migrant agricultural practitioners in the city; and the fifth functional indicator is the food consumption expenditure of urban residents; The comprehensive supporting group includes: the sixth functional index, the seventh functional index, the eighth functional index, the ninth functional index, the tenth functional index and the eleventh functional index; the sixth functional index is the rural road network density obtained by the total length of roads in the region ÷ the total area of ​​administrative villages, the seventh functional index is the street lamp laying rate obtained by the length of rural roads with street lamps ÷ the total road length, the eighth functional index is the harmless sanitary toilet penetration rate obtained by the number of harmless sanitary toilets ÷ the total number of rural toilets, the ninth functional index is the tap water household rate obtained by the number of tap water households ÷ the total number of households, the tenth functional index is the urban road network density obtained by the total length of roads in the city ÷ the total area of ​​administrative villages, and the eleventh functional index is the commuting time obtained by the average travel time from the regional geometric center to the city center; The ecological environment group includes: the twelfth functional index, the thirteenth functional index, the fourteenth functional index, the fifteenth functional index, the sixteenth functional index and the seventeenth functional index; the twelfth functional index is the rural environmental air quality good rate obtained by dividing the number of days with good environmental air quality by ÷ 365 days, the thirteenth functional index is the rural greening coverage rate obtained by (regional greening area-regional built-up area greening area) ÷ (regional planned total area-built-up area), the fourteenth functional index is the rural domestic sewage treatment rate obtained by the domestic sewage treatment volume ÷ the domestic sewage generation volume, the fifteenth functional index is the comprehensive utilization rate of livestock and poultry manure obtained by the livestock and poultry manure utilization volume ÷ the livestock and poultry manure generation volume, the sixteenth functional index is the urban environmental air quality good rate obtained by dividing the number of days with good urban environmental air quality by ÷ 365 days, and the seventeenth functional index is the urban greening coverage rate obtained by (regional greening area-regional built-up area greening area) ÷ (regional planned total area-built-up area); The featured industries include the Internet group, culture group, tourism group, health care group, science and technology innovation group, education group and green processing group; The Internet group includes: an eighteenth functional indicator, a nineteenth functional indicator, a twentieth functional indicator, and a twenty-first functional indicator; the eighteenth functional indicator is the rural Internet penetration rate obtained by dividing the number of households with Internet access by the total number of households, the nineteenth functional indicator is the number of Baidu search related items using the rural village name as a keyword, the twenty-third functional indicator is the urban Internet penetration rate obtained by dividing the number of households with Internet access by the total number of households, and the twenty-first functional indicator is the number of Baidu search related items using the city name as a keyword; The cultural group includes: the 22nd functional indicator, the 23rd functional indicator, the 24th functional indicator, the 25th functional indicator, the 26th functional indicator, the 27th functional indicator, the 28th functional indicator and the 29th functional indicator; the 22nd functional indicator is the number of libraries, bookstores and cultural stations, the 23rd functional indicator is the number of folk art groups spontaneously organized by villagers and registered with the village committee, the 24th functional indicator is the proportion of cultural and entertainment expenditures, the 25th functional indicator includes news and information services, content creation and production, creative design services, cultural communication channels, cultural investment and operation, cultural entertainment and leisure services, cultural assistance The 26th functional indicator is the number of rural-related industries in nine categories, including production and intermediary services, cultural equipment production, and cultural consumption terminal production. The 27th functional indicator is the number of folk art groups spontaneously organized by urban citizens and registered with the Civil Affairs Bureau. The 28th functional indicator is the proportion of urban cultural and entertainment expenditures. The 29th functional indicator is the number of urban-related industries in nine categories, including urban news and information services, content creation and production, creative design services, cultural communication channels, cultural investment and operation, cultural entertainment and leisure services, cultural auxiliary production and intermediary services, cultural equipment production, and cultural consumption terminal production. The tourism group includes: the 30th function index, the 31st function index, the 32nd function index and the 33rd function index; the 30th function index is the tourism resource rate obtained by (the number of national scenic spots × 4 + the number of provincial scenic spots × 3 + the number of county-level scenic spots × 2 + the number of general scenic spots × 1) ÷ the cumulative total score of all scenic spots in the region, the 31st function index is the scale of households carrying out tourism reception, the 32nd function index is the number of urban tourism enterprises, and the 33rd function index is the number of foreign tourists in the city per year; The health care group includes: the 34th function indicator, the 35th function indicator, the 36th function indicator, the 37th function indicator, the 38th function indicator and the 39th function indicator; the 34th function indicator is the distance from the regional geometric center to the nearest Class A hospital, the 35th function indicator is the number of Class A hospitals within 50 km of the regional geometric center, the 36th function indicator is the number of beds per 100 people, the 37th function indicator is the number of rural nursing homes and retirement homes, the 38th function indicator is the proportion of the elderly population in the city, and the 39th function indicator is the number of beds in existing elderly care facilities in the city; The science and technology innovation group includes: the 40th functional indicator, the 41st functional indicator, the 42nd functional indicator and the 43rd functional indicator; the 40th functional indicator is the number of policies related to entrepreneurship information obtained by searching the county government official website with the village name as the keyword, the 41st functional indicator is the proportion of the number of scientific and technical personnel in the city obtained by dividing the number of scientific and technical personnel by the total population, the 42nd functional indicator is the proportion of the city's scientific research output value obtained by dividing the scientific research output value by the total output value, and the 43rd functional indicator is the number of scientific research institutions in the city; The education group includes: the 44th functional indicator, the 45th functional indicator, the 46th functional indicator, the 47th functional indicator, the 48th functional indicator, the 49th functional indicator, the 50th functional indicator and the 51st functional indicator; the 44th functional indicator is the number of existing educational institutions in rural areas, the 45th functional indicator is the average number of students per teacher, the 46th functional indicator is the proportion of full-time teachers with bachelor's degrees or above in compulsory education schools, the 47th functional indicator is the graduation rate of compulsory education, the 48th functional indicator is the number of existing educational institutions in cities, the 49th functional indicator is the average number of students per teacher in cities, the 50th functional indicator is the proportion of full-time teachers with bachelor's degrees or above in urban compulsory education schools, and the 51st functional indicator is the graduation rate of urban compulsory education; The green processing group includes: the 52nd functional indicator, which is the proportion of agricultural product processing value obtained by dividing the agricultural product processing value by the total agricultural output value.

4. A method for detecting the development type of rural complex industry as claimed in claim 1, characterized in that: According to the comprehensive score, selecting one or more types of development patterns as the development type of the object to be detected includes: Select the type with the highest score among the various scores in the comprehensive score as the development type of the object to be detected; When the scores of multiple development types are equal, multiple types of development patterns with the same scores are selected as the development type of the object to be detected.

5. A rural complex industrial development type detection system, characterized in that: include: A selection module is used to select any administrative village with a villagers' committee from the acquired multiple village data as an object to be detected; A suitability determination module is used to determine the suitability of the object to be detected for the development of a rural complex based on prerequisite indicators including location advantages, agricultural foundation and economic conditions; An evaluation and scoring module is used to obtain various evaluation scores of the object to be detected based on various functional indicators including basic industries and characteristic industries if the object to be detected reaches a preset suitability threshold; The final evaluation output module is used to obtain a comprehensive score based on the comprehensive relative evaluation values ​​of the functional indicators and combined with subjective and objective weights; A development type determination module, used for selecting one or more types of development patterns as the development type of the object to be detected according to the comprehensive score; in, The suitability of the rural complex development of the object to be tested is determined based on the prerequisite indicators including location advantages, agricultural foundation and economic conditions, including: The original data of all the prerequisite indicators of the object to be detected are normalized, and the proportion of the jth prerequisite indicator of the i-th village sample is obtained by formula (1): In formula (1), n ​​is the number of rural samples, Y ij is the jth prerequisite indicator of the i-th village sample, i and j are both positive integers; Based on the proportion of the prerequisite indicators, the indicator information entropy is obtained through formula (2): In formula (2), k=1 / ln(n)>0, n is a positive integer; The total score of all prerequisite indicators is obtained by formula (3): In formula (3) and formula (4), m is the total number of indicators, E i The value of is between 0 and 1.0; And, if the object to be detected reaches the preset suitability threshold, the comprehensive relative evaluation value of each functional index of the object to be detected including basic industries and characteristic industries is determined, including: If the total score of all prerequisite indicators of the object to be tested is not less than the lower limit of 0.2 to 0.4 and not greater than the upper limit of 0.65 to 0.9, the jth functional indicator of the i-th village sample is dimensionlessly homogenized: The functional indicators after homogenization are normalized, information entropy calculated, and objective weight calculated in turn, and finally the weighted scores are obtained: According to the maximum and minimum values ​​in the weighted scores, the distance between the target sample and the optimal value and the worst value is obtained; Based on the distance between the target sample and the optimal value and the worst value, the comprehensive relative evaluation value of the jth functional indicator of the i-th village sample is obtained; The homogenization result is obtained by formula (5): In formula (5), the X ij is the original data value of the jth functional indicator of the i-th village sample; The normalized result is obtained by formula (6): The information entropy result is obtained by formula (7): d j =1-e j (7) The objective weight is obtained by formula (8): The weighted score is obtained by formula (9) and (10): (WITH ij ) nxm =in j P ij (9) The distance between the optimal value and the worst value is obtained by formula (11): In formula (11), is the maximum Z value of the jth functional index in all village samples, is the minimum Z value of the jth functional index in all village samples; The comprehensive relative evaluation value is obtained by formula (12): And, based on the comprehensive relative evaluation values ​​of the functional indicators, the comprehensive scores obtained by combining the subjective and objective weights include: Randomly select no less than 5 review experts with senior professional titles in the fields of architecture, planning or environment and belonging to the provincial expert database to score the impact weights of the three levels of location advantages, agricultural foundation and economic conditions on the five types of industrial development: agricultural characteristics, cultural tourism, education and scientific innovation, health care and green processing; According to the comprehensive relative evaluation values ​​of the functional indicators and the scoring results, the following comprehensive scores are obtained: The final score of the characteristic agricultural type is: T1 = X1a + Y1b + Z1c + S + D; The final score of the cultural tourism type is: T2 = X2a + Y2b + Z2c + S + D + E + F; The final score of the educational science and technology innovation type is: T3 = X3a + Y3b + Z3c + S + D + H + I; The final score of the healthy elderly care type is: T4 = X4a + Y4b + Z4c + S + D + G; The final classification of the green processing type is: T5 = X5a + Y5b + Z5c + S + D + J; Among them, the total score of the comprehensive relative evaluation value of all indicators of the basic industries is S, and all indicators of the Internet group, cultural group, tourism group, health care group, science and technology innovation group, education group and green processing group in the characteristic industries are D, E, F, G, H, I, and J respectively; the weights of the three levels of location advantages, agricultural foundation, and economic conditions for the characteristic agricultural type are X1, Y1, and Z1, the weights for the cultural tourism type are X2, Y2, and Z2, the weights for the education and science and technology innovation type are X3, Y3, and Z3, the weights for the health and elderly care type are X4, Y4, and Z4, and the weights for the green processing type are X5, Y5, and Z5.

6. A rural complex industrial development type detection device, characterized in that: include: at least one database; and a memory in communication with the at least one database; Wherein, the memory stores instructions that can be executed by the at least one database, and the instructions are executed by the at least one database so that the at least one database can execute a method for detecting the development type of a rural complex industry as described in any one of claims 1-4.

7. A computer readable medium having stored thereon machine executable instructions, characterized in that: When the executable instructions are executed by the processor, a method for detecting the development type of a rural complex industry as described in any one of claims 1 to 4 can be implemented.

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