High-standard farmland construction evaluation method based on multi-data fusion

Through the multi-data fusion evaluation method, the construction of high-standard farmland is comprehensively evaluated, which solves the problem of inaccurate data fusion in the existing technology, and achieves more accurate and comprehensive evaluation results, providing support for the construction and development of high-standard farmland.

CN119624243APending Publication Date: 2025-03-14SHANXI NO 3 CONSTR ENG +3
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Patent Information

Application Number
CN202411751412.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-02
Publication Date
2025-03-14

AI Technical Summary

Technical Problem

The existing technology failed to accurately integrate multiple data in the evaluation of high-standard farmland construction, resulting in incomplete assessment and low matching, which affected subsequent construction.

Method used

The evaluation method based on multi-data fusion is adopted, and data is collected through field investigations, power monitoring and literature review, and indicators such as land quality, road facilities, water conservancy facilities, farmland ecological environment, agricultural mechanization level and power facilities are collected in detail, and the comprehensive evaluation results are calculated.

Benefits of technology

A comprehensive assessment of the construction of high-standard farmland has been achieved, and the data is more accurate and comprehensive, which can better match the needs of modern agriculture, support the construction and development of high-standard farmland, and reduce carbon emissions.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a high-standard farmland construction evaluation method based on multi-data fusion, and relates to the technical field of agriculture, and the method comprises the following evaluation steps: S1, collecting farmland data through the modes of field investigation, power monitoring and literature lookup, S2, listing various indexes to be evaluated in detail, and S3, carrying out the evaluation of the farmland construction. The method comprises the following steps: S1, collecting land data, namely land quality, road facilities, water conservancy facilities, farmland ecological environment, agricultural mechanization level and electric power facilities, S3, evaluating the land quality according to the collected land data, separately evaluating multiple aspects of the farmland, and emphatically evaluating the electric power level of the farmland, so as to meet the follow-up intelligent construction of the farmland. And finally, a comprehensive evaluation result is analyzed and calculated, and data in multiple aspects are fused, so that the evaluation result is more accurate, help is provided for subsequent high-standard farmland construction, and a better high-standard farmland construction environment is created.
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Description

Technical Field

[0001] The present invention relates to the field of agricultural technology, and in particular to a high-standard farmland construction evaluation method based on multi-data fusion. Background Art

[0002] The main sources of carbon emissions include the burning of fossil fuels, energy consumption in industrial production processes, agricultural activities, and land use changes. For example, in agricultural activities, animal husbandry and rice field management also release methane; while land use changes, such as deforestation and land conversion, release large amounts of carbon dioxide.

[0003] High-standard farmland in agricultural activities refers to arable land that is flat, concentrated and contiguous, has complete facilities, supporting farmland, fertile soil, good ecology, strong disaster resistance, and is compatible with modern agricultural production and management methods. It is high-yield and stable, and is designated as permanent basic farmland. The construction of high-standard farmland is a key measure to consolidate and improve food production capacity and ensure food security. Therefore, it is necessary to do a good job in the construction of high-standard farmland and evaluate its construction. With the development of modern agriculture, when evaluating the construction of high-standard farmland, there are more aspects to be evaluated, and the data is more inclined to mechanization and intelligence, which also better reduces carbon emissions.

[0004] At the same time, the use of straw crushing and returning to the field in the soil management of high-standard farmland projects can increase soil organic matter, improve soil structure, make the soil loose, increase porosity, reduce capacity, promote microbial activity and the development of crop roots, improve soil physical and chemical properties, and also supply certain nutrients such as potassium. Returning straw to the field can promote agricultural water conservation, cost reduction, increase production and efficiency, and should also be given full attention in environmental protection and agricultural sustainable development.

[0005] However, in the current evaluation process of high-standard farmland construction, multiple data have not been accurately integrated, and the degree of matching with modern agriculture is not high. There are certain obstacles in the subsequent construction of high-standard farmland, which cannot provide data support for subsequent farmers' planting, reducing the utilization rate of data. Summary of the invention

[0006] The present invention provides a high-standard farmland construction evaluation method based on multi-data fusion, which can effectively solve the problem raised in the above background technology that in the current process of high-standard farmland construction evaluation, various data are not accurately integrated, the matching degree with modern agriculture is not high, and there are certain obstacles in the subsequent construction of high-standard farmland.

[0007] To achieve the above object, the present invention provides the following technical solution: a high-standard farmland construction evaluation method based on multi-data fusion, comprising the following evaluation steps:

[0008] S1. Collect farmland data through field visits, power monitoring and literature review;

[0009] S2. List in detail the indicators to be evaluated, namely land quality, road facilities, water conservancy facilities, farmland ecological environment, agricultural mechanization level and power facilities;

[0010] S3. Evaluate land quality based on the collected land data;

[0011] S4. Evaluate the farmland ecological environment based on the collected ecological data;

[0012] S5. Evaluate the farmland roads based on the collected farmland road data;

[0013] S6. Evaluate the water conservancy situation of farmland based on the collected farmland water conservancy data;

[0014] S7. Evaluate the mechanization level of farmland based on the collected agricultural mechanization data;

[0015] S8. Evaluate the power level of the farmland based on the collected data of farmland power facilities;

[0016] S9. Combine the evaluation data in S3-S8 to comprehensively evaluate the construction of high-standard farmland;

[0017] In S9, the comprehensive evaluation result G is calculated by the above 6 evaluation results, and the calculation formula is as follows:

[0018] G=w a a+w b b+w c c+w d d+w e e+w f f

[0019] G is the comprehensive evaluation value;

[0020] a represents the land quality assessment result, and its value range is [1, 10];

[0021] b represents the farmland ecological environment assessment result, and its value range is [1, 10];

[0022] c represents the road assessment result, and its value range is [1, 10];

[0023] d represents the water conservancy assessment result, and its value range is [1, 10];

[0024] e represents the mechanization level assessment result, and its value range is [1, 10];

[0025] f represents the power level assessment result, and its value range is [1, 10];

[0026] w represents the weight factor, which is expressed as follows:

[0027] w a Indicates the weight of land quality assessment results;

[0028] w b Indicates the weight of the farmland ecological environment assessment results;

[0029] w c Indicates the weight of the road assessment result;

[0030] w d Indicates the weight of water conservancy assessment results;

[0031] w e Indicates the weight of the mechanization level assessment result;

[0032] w f Indicates the weight of the power level assessment result;

[0033] The specific analysis steps of the comprehensive evaluation results are as follows:

[0034] S91. When evaluating land quality, the farmland is divided into blocks, and each block of farmland is an evaluation object. The land quality evaluation data are a1, a2, a3... The land quality evaluation result a is the arithmetic mean of all land quality evaluation data;

[0035] S92. Calculate the weight h of the i-th evaluation object in the evaluation result. i , for land quality assessment data a i ,

[0036] S93. Calculate entropy value: a i The entropy value y ai The calculation formula is y ai =-kh i ln(h i );

[0037] Entropy value y of land quality assessment results a , the calculation formula is (in x a is the number of evaluation objects, when h i = 0, h i ln(h i )=0);

[0038] S94. Calculate the weight w of the evaluation result a , The obtained weights were compared with the weights evaluated by experts based on experience to check the weight calculation;

[0039] S95. Calculate the farmland ecological environment assessment results w in turn according to the above calculation method b The weight of the road assessment result w c The weight of water conservancy assessment result w d The weight of the mechanization level evaluation result w e The weight of the power level assessment result w f The weight of

[0040] S96. Substitute the weight formula of the evaluation result into the formula of comprehensive evaluation G, and write it as:

[0041]

[0042] According to each evaluation result, the comprehensive evaluation result is calculated according to the above formula to obtain the evaluation result of high-standard agricultural construction;

[0043] In S1, power monitoring is fed back through grid data, and market research is conducted to record the income of crops;

[0044] S2 lists in detail the various indicators to be evaluated, namely land quality, road facilities, water conservancy facilities, farmland ecological environment, agricultural mechanization level and power facilities. The farmland ecological environment is statistically analyzed for weather conditions, land, crop pests and diseases and carbon emission data over the years.

[0045] According to the above technical solution, in S3, during the land quality assessment process, the land is sited, the flatness of the land is assessed as a whole, the soil is then dug up, a profile analysis is performed, and soil samples are collected for further testing;

[0046] Sampling points refer to the district-level soil map, make good sampling planning and design, determine the sampling points, and divide the sampling area into several sampling units according to soil type and land use factors during point arrangement and sampling. The soil properties of each sampling unit are uniform and consistent;

[0047] One point is set up for every 100 mu of original cultivated land in plain areas and every 500 mu in mountainous and hilly areas. The village is used as the administrative unit, and the points are determined according to the different site conditions, soil properties, farmland infrastructure and agricultural production conditions of the monitoring points.

[0048] We built our own soil database, supplemented the data from sampling and measurement, and used spatial interpolation methods and a unique soil evolution model to calculate the soil data for each square kilometer in the county, including pH, organic matter, total nitrogen, total phosphorus, total potassium, available nitrogen, available phosphorus, available potassium content, and soil capacity and texture;

[0049] Sensors are placed at different depths of the soil to continuously monitor soil moisture, soil temperature, soil conductivity, groundwater level, and groundwater quality over a long period of time;

[0050] Based on various soil data, give the land quality a score of a.

[0051] According to the above technical solution, in S4, during the assessment of the farmland ecological environment, by consulting the local national weather station data and real-time data of radar satellites recorded in the soil location map documents every day, collecting information through ground temperature, humidity, light, and photosynthetically active radiation sensors, the time and frequency of heavy rain, rainwater flooding, drought, snow damage, and wind damage are obtained, and the weather changes in the next year, the next 15 days, and the next 24 hours are simulated;

[0052] Then, we can obtain pest data by consulting pest records and real-time monitoring of satellite remote sensing to understand the pest conditions in different areas, seasons and crops of farmland.

[0053] Based on the light, rain, wind and pest conditions during crop planting, the farmland ecological environment is scored and recorded as b.

[0054] According to the above technical solution, in S5, during the evaluation of farmland roads, the roads between farmlands and the roads around farmlands are surveyed to determine the smoothness of the entry and exit roads, measure the width and flatness of the roads, estimate the passage of farmers and vehicles, and evaluate the convenience of the roads, which is recorded as c.

[0055] According to the above technical solution, in S6, in the process of evaluating the farmland water conservancy situation, the evaluation includes the evaluation of irrigation facilities and drainage facilities, specifically including the layout of basic field ditches and water pumps, and also includes intelligent irrigation equipment, simulated irrigation and drainage, and the effect and convenience of irrigation and drainage are evaluated, and the evaluation result is recorded as d;

[0056] The main structure of the intelligent irrigation equipment consists of an intelligent gateway, a water-fertilizer integrated machine, a solenoid valve, a valve controller, a frequency conversion control cabinet, a camera and field pipes.

[0057] According to the above technical solution, in S7, in the process of evaluating the mechanization level of farmland, the land flatness, land scale, land shape, planting pattern, land layout, field road quality, field road width and road connectivity are first surveyed, and based on the survey results, the level of mechanization use of farmland is evaluated, specifically including the level of mechanized tillage, mechanized sowing and mechanized harvesting, and the evaluation result is recorded as e.

[0058] According to the above technical solution, in the process of evaluating the power level in S8, the evaluation content is the construction status of the farmland power transmission and distribution project itself and the support status for agricultural equipment, and the evaluation result is recorded as f;

[0059] The contents of farmland power transmission and distribution projects include transformers and transmission lines;

[0060] The transformer provides electricity to the pump station and agricultural machinery. The transformer is used to provide power distribution to the controlled wells. The transformer capacity is selected according to the capacity of the well pump motor. All oil-immersed pole-mounted transformers are used.

[0061] The capacity of the transformer is calculated as follows:

[0062] S 变 =ZP 电动机 (1+25%)+P 照明

[0063] Where: S 变 is the transformer capacity (KVA);

[0064] P 电动机 is the rated power of the motor (KVA);

[0065] P 照明 is the total power of lighting (KVA);

[0066] Z is the number of motors;

[0067] Transmission lines transmit electricity to agricultural equipment. For 10KV high-voltage transmission lines, according to the principle of proximity, each transformer is introduced from the existing high-voltage line. The cross-sectional area of ​​the high-voltage line conductor is calculated according to the following formula:

[0068]

[0069] Where: S 高 is the cross-sectional area of ​​the high-voltage transmission line (mm 2 );

[0070] P 高 is the transmission power (kw);

[0071] L is the transmission distance (m);

[0072] r is the conductivity of the material (m / Q·mm 2 ), the conductivity of aluminum is 33.9m / Q·mm 2 ;

[0073] U 线 is the transmission voltage (v);

[0074] △u% is the percentage of voltage loss (i.e. voltage drop), which is 3%;

[0075] The cross-sectional area of ​​the 380V low-voltage transmission line conductor is calculated using the following formula:

[0076]

[0077] Where: S 低 is the cross-sectional area of ​​the low voltage transmission line (mm 2 );

[0078] m is the load moment, which is the product of its transmission power and transmission distance;

[0079] △u% is the percentage of voltage loss (i.e. voltage drop), which is 5%;

[0080] C is a constant (50 for steel core aluminum stranded wire);

[0081] Calculate the capacity of the transformer required for agricultural equipment according to the formula, determine the compatibility of the transformer used with the agricultural equipment, calculate the cross-sectional area required for agricultural equipment according to the formula, determine the compatibility of the transmission line used with the agricultural equipment, and then evaluate the power level of the farmland.

[0082] Compared with the prior art, the present invention has the following beneficial effects:

[0083] 1. By evaluating the farmland quality, ecological environment, roads, water conservancy, and mechanization level, we can obtain basic farmland conditions. By conducting a separate evaluation of the farmland electricity level, we can master the farmland electricity level and evaluate the farmland from multiple aspects. The data is more comprehensive, which is convenient for comprehensive evaluation of farmland construction.

[0084] 2. By calculating the transformer capacity and the cross-sectional area of ​​the transmission line of the farmland and comparing them with the transformers and transmission lines used in the farmland, we can understand the power support of the power equipment, provide basic support for the layout and use of the power equipment, and then evaluate the power level of farmland construction, provide a foundation for the subsequent intelligent construction of farmland, and help the future development of farmland.

[0085] 3. By analyzing the assessment results of farmland quality, farmland ecological environment, roads, water conservancy, mechanization level and electricity level, further comprehensive assessment and calculation of comprehensive assessment results, it is possible to integrate data from various aspects, better match the actual situation of high-standard farmland construction in modern agriculture, and help the subsequent construction and development of high-standard farmland.

[0086] To sum up, by separately evaluating multiple aspects of farmland and focusing on the electricity level of farmland, in order to meet the subsequent construction of intelligent farmland and meet the continuous development needs of modern agriculture, the comprehensive evaluation results are finally analyzed and calculated, and the data from various aspects are integrated to make the evaluation results more accurate, provide assistance for the subsequent high-standard farmland construction, and create a better high-standard farmland construction environment. At the same time, the relevant data of farmland costs, such as seeds, pesticides and fertilizers, are collected, and combined with subsequent data to further reduce carbon emissions and be more environmentally friendly and scientific. BRIEF DESCRIPTION OF THE DRAWINGS

[0087] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0088] In the attached picture:

[0089] Figure 1 It is a high-standard farmland construction assessment step diagram of the present invention;

[0090] Figure 2 It is a schematic diagram of the farmland location of the present invention;

[0091] Figure 3 It is a schematic diagram of farmland soil excavation according to the present invention. DETAILED DESCRIPTION

[0092] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0093] Example: Figure 1-3 As shown, the present invention provides a technical solution, a high-standard farmland construction evaluation method based on multi-data fusion, including the following evaluation steps:

[0094] S1. Collect farmland data through field visits, power monitoring and literature review;

[0095] S2. List in detail the indicators to be evaluated, namely land quality, road facilities, water conservancy facilities, farmland ecological environment, agricultural mechanization level and power facilities;

[0096] S3. Evaluate land quality based on the collected land data;

[0097] S4. Evaluate the farmland ecological environment based on the collected ecological data;

[0098] S5. Evaluate the farmland roads based on the collected farmland road data;

[0099] S6. Evaluate the water conservancy situation of farmland based on the collected farmland water conservancy data;

[0100] S7. Evaluate the mechanization level of farmland based on the collected agricultural mechanization data;

[0101] S8. Evaluate the power level of the farmland based on the collected data of farmland power facilities;

[0102] S9. Combine the evaluation data in S3-S8 to comprehensively evaluate the construction of high-standard farmland;

[0103] According to the above technical solution, S1 provides feedback on power monitoring through grid data, conducts market research, and records the income of crops;

[0104] S2 lists in detail the indicators to be evaluated, namely land quality, road facilities, water conservancy facilities, farmland ecological environment, agricultural mechanization level and power facilities. The farmland ecological environment is statistically analyzed for weather conditions, land, crop pests and diseases and carbon emission data over the years.

[0105] In S3, during the land quality assessment process, the land is sited, the flatness of the land is assessed as a whole, the soil is excavated, profile analysis is performed, and soil samples are collected for further testing;

[0106] Sampling points refer to the district-level soil map, make good sampling planning and design, determine the sampling points, and divide the sampling area into several sampling units according to soil type and land use factors during point arrangement and sampling. The soil properties of each sampling unit are uniform and consistent;

[0107] One point is set up for every 100 mu of original cultivated land in plain areas and every 500 mu in mountainous and hilly areas. The village is used as the administrative unit, and the points are determined according to the different site conditions, soil properties, farmland infrastructure and agricultural production conditions of the monitoring points.

[0108] We built our own soil database, supplemented the data from sampling and measurement, and used spatial interpolation methods and a unique soil evolution model to calculate the soil data for each square kilometer in the county, including pH, organic matter, total nitrogen, total phosphorus, total potassium, available nitrogen, available phosphorus, available potassium content, and soil capacity and texture;

[0109] Sensors are placed at different depths of the soil to continuously monitor soil moisture, soil temperature, soil conductivity, groundwater level, and groundwater quality over a long period of time;

[0110] Based on various soil data, give the land quality a score of a.

[0111] According to the above technical scheme, in S4, during the assessment of the farmland ecological environment, by consulting the local national meteorological station data and real-time data of radar satellites recorded in the soil location map documents every day, and collecting information through ground temperature, humidity, light, and photosynthetically active radiation sensors, the time and frequency of heavy rain, rainwater flooding, drought, snow damage, and wind damage are obtained, and the meteorological changes in the next year, the next 15 days, and the next 24 hours are simulated;

[0112] Then, we can obtain pest data by consulting pest records and real-time monitoring of satellite remote sensing to understand the pest conditions in different areas, seasons and crops of farmland.

[0113] Based on the light, rain, wind and pest conditions during crop planting, the farmland ecological environment is scored and recorded as b.

[0114] According to the above technical solution, in S5, during the evaluation of farmland roads, the roads between farmlands and the roads around farmlands are surveyed to determine the smoothness of the access roads, measure the width and flatness of the roads, estimate the passage of farmers and vehicles, and evaluate the convenience of the roads, which is recorded as c.

[0115] According to the above technical solution, in S6, during the evaluation of farmland water conservancy conditions, the evaluation includes the evaluation of irrigation facilities and drainage facilities, specifically including the layout of basic field ditches and water pumps, as well as intelligent irrigation equipment, simulating irrigation and drainage, and evaluating the effect and convenience of irrigation and drainage. The evaluation result is recorded as d;

[0116] The main structure of the intelligent irrigation equipment consists of an intelligent gateway, a water-fertilizer integrated machine, a solenoid valve, a valve controller, a frequency conversion control cabinet, a camera and field pipes.

[0117] According to the above technical solution, in S7, in the process of evaluating the mechanization level of farmland, the land flatness, land scale, land shape, planting pattern, land layout, field road quality, field road width and road connectivity are first surveyed. Based on the survey results, the level of mechanization use of farmland is evaluated, including the level of mechanized tillage, mechanized sowing and mechanized harvesting. The evaluation result is recorded as e.

[0118] According to the above technical solution, in S8, during the power level assessment, the assessment content is the construction of the farmland power transmission and distribution project itself and the support for agricultural equipment, and the assessment result is recorded as f;

[0119] The contents of farmland power transmission and distribution projects include transformers and transmission lines;

[0120] The transformer provides electricity to the pump station and agricultural machinery. The transformer is used to provide power distribution to the controlled wells. The transformer capacity is selected according to the capacity of the well pump motor. All oil-immersed pole-mounted transformers are used.

[0121] The capacity of the transformer is calculated as follows:

[0122] S 变 =ZP 电动机 (1+25%)+P 照明

[0123] Where: S 变 is the transformer capacity (KVA);

[0124] P 电动机 is the rated power of the motor (KVA);

[0125] P 照明 is the total power of lighting (KVA);

[0126] Z is the number of motors;

[0127] Transmission lines transmit electricity to agricultural equipment. For 10KV high-voltage transmission lines, according to the principle of proximity, each transformer is introduced from the existing high-voltage line. The cross-sectional area of ​​the high-voltage line conductor is calculated according to the following formula:

[0128]

[0129] Where: S 高 is the cross-sectional area of ​​the high-voltage transmission line (mm 2 );

[0130] P 高 is the transmission power (kw);

[0131] L is the transmission distance (m);

[0132] r is the conductivity of the material (m / Q·mm 2 ), the conductivity of aluminum is 33.9m / Q·mm 2 ;

[0133] U 线 is the transmission voltage (v);

[0134] △u% is the percentage of voltage loss (i.e. voltage drop), which is 3%;

[0135] The cross-sectional area of ​​the 380V low-voltage transmission line conductor is calculated using the following formula:

[0136]

[0137] Where: S 低is the cross-sectional area of ​​the low voltage transmission line (mm 2 );

[0138] m is the load moment, which is the product of its transmission power and transmission distance;

[0139] △u% is the percentage of voltage loss (i.e. voltage drop), which is 5%;

[0140] C is a constant (50 for steel core aluminum stranded wire);

[0141] According to the formula, the capacity of the transformer required by the agricultural equipment is calculated to determine the compatibility of the transformer used with the agricultural equipment. According to the formula, the cross-sectional area required by the agricultural equipment is calculated to determine the compatibility of the transmission line used with the agricultural equipment. Then, the power level of the farmland is evaluated. In S9, the comprehensive evaluation result G is calculated through the above 6 evaluation results. The calculation formula is as follows:

[0142] G=w a a+w b b+w c c+w d d+w e e+w f f

[0143] G is the comprehensive evaluation value;

[0144] a represents the land quality assessment result, and its value range is [1, 10];

[0145] b represents the farmland ecological environment assessment result, and its value range is [1, 10];

[0146] c represents the road assessment result, and its value range is [1, 10];

[0147] d represents the water conservancy assessment result, and its value range is [1, 10];

[0148] e represents the mechanization level assessment result, and its value range is [1, 10];

[0149] f represents the power level assessment result, and its value range is [1, 10];

[0150] w represents the weight factor, which is expressed as follows:

[0151] w a Indicates the weight of land quality assessment results;

[0152] w b Indicates the weight of the farmland ecological environment assessment results;

[0153] w c Indicates the weight of the road assessment result;

[0154] wd Indicates the weight of water conservancy assessment results;

[0155] w e Indicates the weight of the mechanization level assessment result;

[0156] w f Indicates the weight of the power level assessment result;

[0157] The specific analysis steps of the comprehensive evaluation results are as follows:

[0158] S91. When evaluating land quality, the farmland is divided into blocks, and each block of farmland is an evaluation object. The land quality evaluation data are a1, a2, a3... The land quality evaluation result a is the arithmetic mean of all land quality evaluation data;

[0159] S92. Calculate the weight h of the i-th evaluation object in the evaluation result. i , for land quality assessment data a i ,

[0160] S93. Calculate entropy value: a i The entropy value y ai The calculation formula is y ai =-kh i ln(h i );

[0161] Entropy value y of land quality assessment results a , the calculation formula is (in x a is the number of evaluation objects, when h i = 0, h i ln(h i )=0);

[0162] S94. Calculate the weight w of the evaluation result a , The obtained weights were compared with the weights evaluated by experts based on experience to check the weight calculation;

[0163] S95. Calculate the farmland ecological environment assessment results w in turn according to the above calculation method b The weight of the road assessment result w c The weight of water conservancy assessment result w d The weight of the mechanization level evaluation result w e The weight of the power level assessment result w f The weight of

[0164] S96. Substitute the weight formula of the evaluation result into the formula of comprehensive evaluation G, and write it as:

[0165]

[0166] According to each evaluation result, the comprehensive evaluation result is calculated according to the above formula to obtain the evaluation result of high-standard agricultural construction;

[0167] In S95, the weight of the farmland ecological environment assessment result is w b , the evaluation object is the number of selected farmland blocks, and the evaluation data are b1, b2, b3...

[0168] The weight of the road assessment result w c , the evaluation objects are the roads around the selected farmland and the in-and-out transportation roads, and the evaluation data are c1, c2, c3...

[0169] The weight of water conservancy assessment results w d , the evaluation object is water conservancy facilities, and the evaluation data are d1, d2, d3...

[0170] The weight of the mechanization level assessment result w e , the evaluation object is mechanical equipment, and the evaluation data are e1, e2, e3...

[0171] The weight of the power level assessment result w f , the evaluation objects are transformers and transmission lines, and the evaluation data are f1, f2, f3...

[0172] The farmland is divided into 5 plots, and the land quality assessment data are as follows:

[0173] a1=7, a2=8, a3=6, a4=9, a5=7;

[0174] Then a=7.4

[0175] Calculate the weights of land quality assessment results:

[0176] h1=0.189, h2=0.216, h3=0.162, h4=0.243, h5=0.189;

[0177] y a =1.552;

[0178] w a =0.16;

[0179] Follow the same steps to calculate the weights of other evaluation results:

[0180] Given that b = 7.4, c = 7.4, d = 7.6, e = 7.4, f = 7.4;

[0181] Calculate w b =0.2, wc =0.15, w d =0.13, w e =0.18, w f =0.17;

[0182] Finally, the comprehensive evaluation result is calculated: G = 7.352;

[0183] The above calculation results can be used to comprehensively evaluate the construction of farmland, and the collection of farmland assessment data can obtain farmland-related content from many aspects, involving land quality, farmland ecological environment, water conservancy, roads, mechanization level and electricity level. That is, we can understand the assessment results of different aspects and the comprehensive assessment results. The calculation of the weight of each assessment result realizes a better integration of multiple data, which is conducive to the construction of high-standard farmland.

[0184] Finally, it should be noted that the above description is only a preferred example of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A high-standard farmland construction evaluation method based on multi-data fusion, characterized by: The evaluation steps include: S1. Collect farmland data through field visits, power monitoring and literature review; S2. List in detail the indicators to be evaluated, namely land quality, road facilities, water conservancy facilities, farmland ecological environment, agricultural mechanization level and power facilities; S3. Evaluate land quality based on the collected land data; S4. Evaluate the farmland ecological environment based on the collected ecological data; S5. Evaluate the farmland roads based on the collected farmland road data; S6. Evaluate the water conservancy situation of farmland based on the collected farmland water conservancy data; S7. Evaluate the mechanization level of farmland based on the collected agricultural mechanization data; S8. Evaluate the power level of the farmland based on the collected data of farmland power facilities; S9. Combine the evaluation data in S3-S8 to comprehensively evaluate the construction of high-standard farmland; In S9, the comprehensive evaluation result G is calculated by the above 6 evaluation results, and the calculation formula is as follows: G=w a a+w b b+w c c+w d d+w e e+w f f G is the comprehensive evaluation value; a represents the land quality assessment result, and its value range is [1, 10]; b represents the farmland ecological environment assessment result, and its value range is [1, 10]; c represents the road assessment result, and its value range is [1, 10]; d represents the water conservancy assessment result, and its value range is [1, 10]; e represents the mechanization level assessment result, and its value range is [1, 10]; f represents the power level assessment result, and its value range is [1, 10]; w represents the weight factor, which is expressed as follows: w a Indicates the weight of land quality assessment results; w b Indicates the weight of the farmland ecological environment assessment results; w c Indicates the weight of the road assessment result; w d Indicates the weight of the water conservancy assessment results; w e Indicates the weight of the mechanization level assessment result; w f Indicates the weight of the power level assessment result; The specific analysis steps of the comprehensive evaluation results are as follows: S91. When evaluating land quality, the farmland is divided into blocks, and each block of farmland is an evaluation object. The land quality evaluation data are a1, a2, a3... The land quality evaluation result a is the arithmetic mean of all land quality evaluation data; S92. Calculate the weight h of the i-th evaluation object in the evaluation result. i , for land quality assessment data a i , S93. Calculate entropy value: a i The entropy value y ai The calculation formula is y ai =-kh i ln(h i ); Entropy value y of land quality assessment results a , the calculation formula is (in x a is the number of evaluation objects, when h i = 0, h i ln(h i )=0); S94. Calculate the weight w of the evaluation result a , The obtained weights were compared with the weights evaluated by experts based on experience to check the weight calculation; S95. Calculate the farmland ecological environment assessment results w in turn according to the above calculation method b The weight of the road assessment result w c The weight of water conservancy assessment result w d The weight of the mechanization level evaluation result w e The weight of the power level assessment result w f The weight of S96. Substitute the weight formula of the evaluation result into the formula of comprehensive evaluation G, and write it as: According to each evaluation result, the comprehensive evaluation result is calculated according to the above formula to obtain the evaluation result of high-standard agricultural construction; In S1, power monitoring is fed back through grid data, and market research is conducted to record the income of crops; S2 lists in detail the various indicators to be evaluated, namely land quality, road facilities, water conservancy facilities, farmland ecological environment, agricultural mechanization level and power facilities. The farmland ecological environment is statistically analyzed for weather conditions, land, crop pests and diseases and carbon emission data over the years.

2. The high-standard farmland construction evaluation method based on multi-data fusion according to claim 1 is characterized by: In the above S3, in the process of land quality assessment, the land is sited, the flatness of the land is assessed as a whole, the soil is excavated, a profile analysis is performed, and soil samples are collected for further testing; Sampling points refer to the district-level soil map, make good sampling planning and design, determine the sampling points, and divide the sampling area into several sampling units according to soil type and land use factors during point arrangement and sampling. The soil properties of each sampling unit are uniform and consistent; One point is set up for every 100 mu of original cultivated land in plain areas and every 500 mu in mountainous and hilly areas. The village is used as the administrative unit, and the points are determined according to the different site conditions, soil properties, farmland infrastructure and agricultural production conditions of the monitoring points. We built our own soil database, supplemented the data from sampling and measurement, and used spatial interpolation methods and a unique soil evolution model to calculate the soil data for each square kilometer in the county, including pH, organic matter, total nitrogen, total phosphorus, total potassium, available nitrogen, available phosphorus, available potassium content, and soil capacity and texture; Sensors are placed at different depths of the soil to continuously monitor soil moisture, soil temperature, soil conductivity, groundwater level, and groundwater quality over a long period of time; Based on various soil data, give the land quality a score of a.

3. The high-standard farmland construction evaluation method based on multi-data fusion according to claim 1 is characterized by: In the above S4, during the assessment of the farmland ecological environment, by consulting the local national weather station data and real-time data of radar satellites recorded in the soil location map documents every day, collecting information through ground temperature, humidity, light, and photosynthetically active radiation sensors, obtaining the time and frequency of heavy rain, rainwater flooding, drought, snow damage, and wind damage, and simulating the weather changes in the next year, the next 15 days, and the next 24 hours; Then, we can obtain pest data by consulting pest records and real-time monitoring of satellite remote sensing to understand the pest conditions in different areas, seasons and crops of farmland. Based on the light, rain, wind and pest conditions during crop planting, the farmland ecological environment is scored and recorded as b.

4. The high-standard farmland construction evaluation method based on multi-data fusion according to claim 1 is characterized by: In S5, during the process of evaluating farmland roads, the roads between farmlands and the roads around farmlands are surveyed to determine the smoothness of the access roads, measure the width and flatness of the roads, estimate the passing conditions of farmers and vehicles, and evaluate the convenience of the roads, which is recorded as c.

5. The high-standard farmland construction evaluation method based on multi-data fusion according to claim 1 is characterized by: In the above S6, in the process of evaluating the farmland water conservancy situation, the evaluation includes the evaluation of irrigation facilities and drainage facilities, specifically including the layout of basic field ditches and water pumps, and also includes intelligent irrigation equipment, simulated irrigation and drainage, and the effect and convenience of irrigation and drainage are evaluated, and the evaluation result is recorded as d; The main structure of the intelligent irrigation equipment consists of an intelligent gateway, a water-fertilizer integrated machine, a solenoid valve, a valve controller, a frequency conversion control cabinet, a camera and field pipes.

6. The high-standard farmland construction evaluation method based on multi-data fusion according to claim 1 is characterized by: In S7, in the process of evaluating the mechanization level of farmland, the land flatness, land scale, land shape, planting pattern, land layout, field road quality, field road width and road connectivity are first surveyed, and based on the survey results, the level of mechanization use of farmland is evaluated, specifically including the level of mechanized tillage, mechanized sowing and mechanized harvesting, and the evaluation result is recorded as e.

7. The high-standard farmland construction evaluation method based on multi-data fusion according to claim 1 is characterized by: In the above S8, during the power level assessment, the assessment content is the construction status of the farmland power transmission and distribution project itself and the support status for agricultural equipment, and the assessment result is recorded as f; The contents of farmland power transmission and distribution projects include transformers and transmission lines; The transformer provides electricity to the pump station and agricultural machinery. The transformer is used to provide power distribution to the controlled wells. The transformer capacity is selected according to the capacity of the well pump motor. All oil-immersed pole-mounted transformers are used. The capacity of the transformer is calculated as follows: WITH 变 =ZP 电动机 (1+25%)+P 照明 Where: S 变 is the transformer capacity (KVA); P 电动机 is the rated power of the motor (KVA); P 照明 is the total power of lighting (KVA); Z is the number of motors; Transmission lines transmit electricity to agricultural equipment. For 10KV high-voltage transmission lines, according to the principle of proximity, each transformer is introduced from the existing high-voltage line. The cross-sectional area of ​​the high-voltage line conductor is calculated according to the following formula: Where: S 高 is the cross-sectional area of ​​the high-voltage transmission line (mm 2 ); P 高 is the transmission power (kw); L is the transmission distance (m); r is the conductivity of the material (m / Q·mm 2 ), the conductivity of aluminum is 33.9m / Q·mm 2 ; U 线 is the transmission voltage (v); △u% is the percentage of voltage loss (i.e. voltage drop), which is 3%; The cross-sectional area of ​​the 380V low-voltage transmission line conductor is calculated using the following formula: Where: S 低 is the cross-sectional area of ​​the low voltage transmission line (mm 2 ); m is the load moment, which is the product of its transmission power and transmission distance; △u% is the percentage of voltage loss (i.e. voltage drop), which is 5%; C is a constant (50 for steel core aluminum stranded wire); Calculate the capacity of the transformer required for agricultural equipment according to the formula, determine the compatibility of the transformer used with the agricultural equipment, calculate the cross-sectional area required for agricultural equipment according to the formula, determine the compatibility of the transmission line used with the agricultural equipment, and then evaluate the power level of the farmland.