Crop-energy collaborative high-standard farmland irrigation and drainage intelligent management and control method and system

Abstract

The invention belongs to the technical field of water-saving irrigation control, and particularly relates to a crop-energy collaborative high-standard farmland irrigation and drainage intelligent management and control method and a crop-energy collaborative high-standard farmland irrigation and drainage intelligent management and control system. The high-standard farmland irrigation and drainage information measurement and control system based on low-voltage power line high-speed carrier communication achieves collection of information such as field water level and pump station operation energy consumption, irrigation amount prediction information is obtained according to the field water level, energy consumption of each pump station is predicted in combination with a pump station energy consumption module, a regional pump station node energy consumption distribution diagram is established, and the energy consumption of each pump station node is calculated. And scheduling the operation time of each pump station by taking the irrigation requirement and the energy consumption balance as targets. By means of the method, water-saving irrigation control over high-standard farmland is achieved, the influence of simultaneous operation of the pump station groups on the power grid is reduced while the requirement for crop growth is met, and the stability and stability of operation of the power grid are improved.

Description

Technical Field

[0001] The present invention belongs to the field of water-saving irrigation control, and specifically relates to a crop-energy synergistic high-standard farmland irrigation and drainage intelligent management and control method and system. Background Art

[0002] The construction of high-standard farmland is a key measure to consolidate and improve food production capacity and ensure national food security. Electric irrigation is currently a major form of energy use for high-standard farmland irrigation. In the process of high-standard farmland construction, in addition to ensuring power transmission and distribution, it is also necessary to meet the needs of information management;

[0003] In areas where rice is grown on a large scale, due to weather, planting varieties and other reasons, the irrigation timing in the region is basically the same, that is, the pump stations in the region will start irrigation operations at the same time, which will cause short-term high energy consumption in the power grid. Moreover, rice production is mainly carried out by irrigation operations in the summer, which is also the peak period for industrial production and daily electricity consumption. Therefore, by predicting the water demand pattern of rice growth, regional pumping stations are dispatched on the premise of meeting the water demand of rice, and crop-energy synergy of regional energy pumping station groups can be achieved. It can solve the stable operation of the supporting power transmission and distribution facilities of high-standard farmland;

[0004] In addition, as a power line carrier communication technology, low-voltage power line high-speed carrier communication (HPLC for short) is used to collect power consumption information in low-voltage areas because it communicates through existing power supply lines and does not require data transmission through wired or wireless data communication methods. In the process of building high-standard farmland supporting farmland power transmission and distribution facilities, the introduction of HPLC power carrier communication technology for precise control of pumping stations and irrigation equipment can not only meet the needs of power irrigation and drainage, but also realize information management. It solves the problem of data communication for information management.

[0005] The Chinese patent with announcement number CN107035672A discloses a photovoltaic water pump system and its control method for achieving water-saving and energy-optimized irrigation. The photovoltaic water pump system includes an inverter, a water pump, a main microcontroller, a decision controller, a water level sensor, a soil moisture sensor and a Wi-Fi transmitter, etc. The control method includes the following steps: 1) constructing a power-water flow characteristic curve of the water pump system according to the water output and the input power of the water pump; 2) the decision controller makes a decision on whether to irrigate according to the soil moisture information and the weather forecast information; 3) the main microcontroller controls the inverter to drive the water pump to pump water or integrate photovoltaic power into the power grid according to the decision information of the decision controller. The above system transmits data wirelessly, and there may be a problem of data transmission disconnection, and the decision controller cannot update and optimize itself. Therefore, it is urgent for those skilled in the art to solve the above technical problems. Summary of the invention

[0006] The technical problem to be solved by the present invention is that in the above-mentioned prior art, data transmission via wireless may result in data transmission disconnection, and the decision controller cannot update and optimize itself.

[0007] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0008] A crop-energy synergistic high-standard farmland irrigation and drainage intelligent management method comprises the following steps:

[0009] S1: Establish a farmland irrigation and drainage decision model including data acquisition module, irrigation volume prediction module, pump station energy consumption module and dynamic programming module;

[0010] S2: Collect field water level information using a data acquisition module, and transmit the data to a data server via low-voltage power line high-speed carrier communication;

[0011] S3: The data server transmits the data to the irrigation amount prediction module, which combines the required water level knowledge and field size information of crops at different growth stages to predict the required irrigation amount;

[0012] S4: A pump station energy consumption module is established according to the operation time of the water pump, and the pump station energy consumption module imports the pump station energy consumption prediction structure into the dynamic programming module;

[0013] The farmland irrigation and drainage decision-making model opens or closes the pump station as needed to adjust the field water level and pump energy consumption, and makes decisions on irrigation and drainage of crops according to crop needs.

[0014] By adopting the above technical solutions, the water demand of crops at different growth stages can be accurately predicted, which can avoid over-irrigation or under-irrigation, thereby saving water resources and reducing unnecessary energy consumption. The pump station energy consumption prediction module can help optimize the operation time of the pump station, avoid starting a large number of pump stations during the peak load period of the power grid, reduce the pressure on the power grid, and reduce the operation cost at the same time. The low-voltage power line high-speed carrier communication (HPLC) technology is used to achieve efficient and reliable data transmission without the need to lay additional communication lines, reducing the system construction cost. The dynamic planning module can automatically adjust the irrigation plan according to real-time data, realize intelligent decision-making on irrigation and drainage, improve management efficiency, reduce soil erosion and soil salinization caused by unreasonable irrigation, protect the ecological environment, and reduce greenhouse gas emissions through reasonable scheduling of pump station operations, which is beneficial to environmental protection, improve crop yield and quality, and increase farmers' income. By optimizing the operation time of the pump station, the instantaneous large load on the power grid caused by the large-scale simultaneous start-up of pump stations is reduced, which helps to maintain the stable operation of the power grid, realize the automation and information management of farmland irrigation, improve the level of farmland management, and promote the process of agricultural modernization.

[0015] Furthermore, in steps S1 and S2: N water level sensors are set in the crop area, the water level sensors are connected to the communication node of the low-voltage power line high-speed carrier, the communication node is connected to the intelligent gateway of the low-voltage power line high-speed carrier, and the intelligent gateway transmits the data collected by the water level sensors to the data server.

[0016] By adopting the above technical solutions, water level sensors can monitor changes in field water levels in real time, ensure the timeliness and accuracy of data, and use existing power lines for data transmission without the need to lay additional communication lines, greatly reducing installation and maintenance costs. HPLC technology has strong anti-interference ability when transmitting data on power lines, ensuring the stability and reliability of data transmission. The seamless integration of water level sensors, communication nodes and smart gateways makes the entire system more efficient and coordinated. The smart gateway aggregates all sensor data and transmits it to the data server to achieve centralized management and data analysis, facilitating subsequent decision-making.

[0017] Further, in step S3, the irrigation amount prediction model includes four input variables, namely, field water level information, rice growth stage information, field area and weather forecast data, and the field water level information is the water level data of the field water level sensor collected by the data acquisition module;

[0018] The rice growth stage information includes different rice growth stages, including sowing, tillering, heading and filling. The water level target is adjusted according to the needs at different growth stages.

[0019] The field area is the field area measured in advance in the operation area;

[0020] Precipitation forecast for the next 3 days based on weather forecast data.

[0021] By adopting the above technical solutions, the water level changes in the field can be monitored in real time to ensure that irrigation decisions are based on the current actual water conditions to avoid excessive or insufficient irrigation. Rice growth stage information: Rice at different growth stages has different water requirements. For example, more water is needed during the tillering period, while a certain water level needs to be maintained during the heading period. Adjusting the water level target according to the growth stage can more accurately meet the needs of crops. Considering the specific area of ​​the field, the calculation of the irrigation amount can be more accurate to avoid uneven irrigation due to area differences. Combined with the rainfall forecast for the next 3 days, the irrigation plan can be adjusted in advance to avoid unnecessary irrigation when it is about to rain, saving water resources. Through accurate irrigation volume prediction, water waste caused by excessive irrigation is avoided.

[0022] Furthermore, the prediction process of the irrigation volume prediction model includes the following steps:

[0023] Step S31:

[0024] Data collection and processing:

[0025] Obtain current water level data through field water level sensors;

[0026] Determine the rice growth stage and its corresponding ideal water level range based on planting records;

[0027] Get the weather forecast and get the expected rainfall data for the next 3 days;

[0028] Step S32:

[0029] Water level demand calculation:

[0030] Irrigation requirement formula:

[0031] Water demand = ideal water level - current water level

[0032] Step S33:

[0033] Watering amount adjustment:

[0034] Irrigation volume adjustment formula:

[0035] Adjusted water demand = water demand - precipitation forecast;

[0036] If the rainfall is greater than the water demand, the irrigation amount is adjusted to a negative value.

[0037] By adopting the above technical solutions, the irrigation amount can be accurately calculated and adjusted to avoid water waste caused by excessive irrigation, ensure that rice in each growth stage can obtain the right amount of water, improve the growth quality and yield of crops, and reasonably arrange irrigation time in combination with meteorological forecast data to avoid unnecessary irrigation before rainfall, reduce water waste, and reduce irrigation costs. According to the growth stage of rice and the actual water level, the irrigation strategy is scientifically adjusted to ensure that crops grow under optimal conditions. Reasonable irrigation can reduce the occurrence of diseases caused by excessive or insufficient water and improve the health of crops.

[0038] Further, in step S4,

[0039] The data sources of the pump station energy consumption module include the pump power consumption P, operation time T and field water level change trend;

[0040] The deep learning model of the pump station energy consumption module is constructed using a long short-term memory network. The input layer of the pump station energy consumption module includes water level changes, pump operating time and environmental data, and the output layer includes the energy consumption of the pump.

[0041] By adopting the above technical solution and processing time series data through LSTM, the complex relationship between water level changes, operating time and environmental data can be captured, thereby providing high-precision energy consumption prediction. The model can dynamically adjust the prediction results according to historical data and real-time data to ensure the real-time and accuracy of the prediction. Through accurate energy consumption prediction, the operation time of the pump station can be optimized to avoid starting the pump station during high energy consumption periods, thereby reducing overall energy consumption and improving energy efficiency. The operation time of the pump station can be reasonably arranged to reduce unnecessary starts and stops, which helps to extend the service life of the equipment and reduce maintenance costs. The model is trained based on a large amount of historical data and real-time data to ensure the scientificity and reliability of the decision-making. Combined with the energy consumption prediction results, the irrigation plan can be dynamically adjusted to achieve the optimal balance between irrigation and energy consumption.

[0042] Furthermore, in step S4, the dynamic planning module includes the following steps when making a decision:

[0043] Step S41: create an initialization state table of a two-dimensional array S, in which rows represent time and columns represent the amount of water poured;

[0044] Step S42: gradually fill the state table according to the state transfer equation, traversing each time t and each pump station i;

[0045] Step S43: After filling the state table, find the minimum energy consumption value. If S(T,D) is not infinite, it means that the demand can be met, otherwise it means that it cannot be met;

[0046] The dynamic programming module corresponds to a state transfer equation. For each pump station i (i = 1, 2, ..., N), the transfer can be defined as follows:

[0047] Select pump station i: operate pump station i at time t to obtain the irrigation volume Q[i] and energy consumption C[i];

[0048] Transfer equation:

[0049] S(t,ω)=min(S(t-1,ω),S(t-1,ω-Q[i])+C[i])

[0050] Among them, the state S(t,ω) is the state where the amount of water poured is w at time t, ω≥Q[i];

[0051] Among them, S(t-1,ω) represents the energy consumption when pump station i is not used, and S(t-1,ω-Q[i])+C[i] represents the energy consumption after pump station i is used;

[0052] The boundary conditions of the state equation are set as:

[0053] Initial state: at time 0, the irrigation volume is 0 and the energy consumption is 0;

[0054] Infeasible state: At any time t, when the water volume is less than 0, it is set to infinity, indicating that the state is unreachable;

[0055] S(t-1,ω)=∞if ω<0;

[0056] Objective function: The goal is to minimize the total energy consumption while meeting the irrigation demand D, which is defined as:

[0057] Minimize S(T,D);

[0058] Where T is the total scheduling time and D is the target irrigation volume.

[0059] By adopting the above technical solutions, we can find the solution with the lowest energy consumption while meeting the irrigation needs, achieve the optimal allocation of resources, ensure that each pump station operates at the most appropriate time, avoid unnecessary starts and stops, improve the operating efficiency of the system, make decisions based on historical data and real-time data, ensure the scientificity and reliability of the decisions, dynamically adjust the irrigation plan according to actual conditions, adapt to changing environmental conditions, and reduce unnecessary energy consumption and operating costs by optimizing the operation of the pump station.

[0060] The present invention also includes a crop-energy coordinated high-standard farmland irrigation and drainage intelligent management and control system, which uses a crop-energy coordinated high-standard farmland irrigation and drainage intelligent management and control method as an operating principle. The crop-energy coordinated high-standard farmland irrigation and drainage intelligent management and control system includes an intelligent gateway, a communication node and a data server, and data transmission is carried out among the three through a low-voltage power line high-speed carrier communication mode.

[0061] Furthermore, the communication node includes a data acquisition node and a control node. The acquisition node is connected to the field water level sensor to realize the collection of field water level information, and transmits it to the intelligent gateway through a low-voltage power line high-speed carrier communication method. The communication intelligent gateway transmits the collected data to the data server, realizes irrigation decisions according to the scheduling method of the crop-energy coordinated high-standard farmland irrigation, and transmits the decision results to the intelligent gateway. The intelligent gateway realizes precise control of the pump station, gate and solenoid valve through the control node according to the obtained decision results.

[0062] By adopting the above technical solution, the data acquisition node is connected to the field water level sensor, which can monitor the water level changes in the field in real time to ensure the timeliness and accuracy of the data. HPLC communication technology has strong anti-interference ability when transmitting data on the power line, ensuring the stability and reliability of data transmission. It uses the existing power lines for data transmission without laying additional communication lines, which greatly reduces the installation and maintenance costs. The seamless integration between data acquisition nodes, communication nodes, smart gateways and data servers makes the entire system more efficient and coordinated. The smart gateway aggregates all sensor data and transmits it to the data server to achieve centralized management and data analysis, which facilitates subsequent decision-making.

[0063] Furthermore, the crop-energy coordinated high-standard farmland irrigation and drainage intelligent management and control system has two working modes: irrigation and drainage. The irrigation working mode is executed during the crop irrigation stage, and the drainage working mode is executed during the non-irrigation period. The intelligent gateway controls the field solenoid valves and gates according to the collected field water level information and the set drainage water level height to realize field irrigation and drainage operations.

[0064] By adopting the above technical solution, during the crop irrigation stage, the system can make accurate irrigation volume forecasts and pump station energy consumption forecasts based on field water level information, rice growth stage information, field area and weather forecast data to ensure the scientificity and efficiency of irrigation operations. During the non-irrigation period, the system automatically controls the field solenoid valves and gates based on the collected field water level information and the set drainage water level height to achieve field drainage operations and ensure that the field water level remains within a reasonable range. Through real-time monitoring and prediction, excessive irrigation is avoided and water resource waste is reduced. During the non-irrigation period, water is automatically drained based on the field water level information to avoid waterlogging in the field and reduce soil erosion and soil salinization.

[0065] The present invention has the following beneficial effects:

[0066] 1. The present invention monitors field water level information, rice growth stage information, field area and weather forecast data in real time. The system can accurately predict the irrigation amount, avoid over-irrigation and reduce water resource waste. During the non-irrigation period, the system automatically controls the field solenoid valve and gate according to the field water level information and the set drainage water level height to achieve reasonable drainage, prevent water accumulation in the field, and reduce soil erosion. By optimizing the operation time and energy consumption of the pump station, it avoids starting a large number of pump stations during the peak load period of the power grid, reducing energy waste and lowering operating costs;

[0067] 2. The system of the present invention performs precise irrigation according to the water demand of rice at different growth stages, ensuring that crops grow under optimal conditions and improving crop yield and quality. Reasonable irrigation and drainage can reduce the occurrence of diseases caused by excessive or insufficient water, improve the health of crops, reduce the use of pesticides and fertilizers, and further improve crop quality;

[0068] 3. The present invention optimizes the operation time of the pump station to achieve load balancing, avoid large load shocks to the power grid in a short period of time, and improve the stability and security of the power grid. The system is based on a data-driven decision-making model, can dynamically adjust irrigation and drainage plans, realize intelligent management, reduce manual intervention, and improve management efficiency. Through the Internet or mobile devices, managers can remotely monitor the operating status and energy consumption of the pump station, realize remote management and fault prevention, and improve the reliability and maintenance efficiency of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] Figure 1 It is an irrigation decision flow chart of the crop-energy system of the present invention;

[0070] Figure 2 This is a diagram of the irrigation decision system of the crop-energy system of the present invention. DETAILED DESCRIPTION

[0071] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific preferred embodiments.

[0072] In the description of the present invention, it should be understood that the terms "left side", "right side", "upper part", "lower part" and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, which is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. "First", "second" and the like do not indicate the importance of the components, and therefore cannot be understood as limiting the present invention. The specific dimensions used in this embodiment are only for illustrating the technical solution, and do not limit the scope of protection of the present invention.

[0073] like Figure 1 As shown, a crop-energy synergistic high-standard farmland irrigation and drainage intelligent management method includes connecting the HPLC acquisition node to the field water level sensor, monitoring the field water level in real time, and providing current water level data. The water level data is uploaded to the data server through the HPLC communication intelligent gateway.

[0074] The irrigation prediction model includes four input variables, namely field water level information, rice growth stage information, field area and weather forecast data. Field water level information refers to the water level data of the field water level sensor collected by the HPLC acquisition node; rice growth stage information refers to the different growth stages of rice (such as sowing, tillering, heading, and filling), and the water level target needs to be adjusted according to the growth stage. The field area is the field area measured in advance in the operating area. The weather forecast data is the rainfall forecast for the next 3 days.

[0075] The prediction process of the irrigation volume prediction model includes three steps;

[0076] Step S31, data collection and collation: obtain current water level data through field water level sensors; determine the growth stage of rice and its corresponding ideal water level range based on planting records; obtain weather forecasts to obtain expected rainfall data in the next three days.

[0077] Step S32, water level demand calculation:

[0078] Irrigation requirement formula:

[0079] Water demand = ideal water level - current water level

[0080] Step S33, watering amount adjustment:

[0081] Irrigation volume adjustment formula:

[0082] Adjusted water demand = water demand - precipitation forecast

[0083] If the rainfall is greater than the water demand, the irrigation amount is adjusted to a negative value to avoid over-irrigation, and the model outputs drainage instructions.

[0084] The data sources of the pump station energy consumption model include the pump power consumption P, operation time T and field water level change trend. Feature engineering includes water level change characteristics, time characteristics and environmental characteristics.

[0085] Among them, the water level change characteristics include the water level change rate and the difference between the current water level and the target water level; the time characteristics include seasonal factors and time period influences (such as day and night); and the environmental characteristics include the precipitation in the past three days.

[0086] The deep learning model of the pump station energy consumption model is constructed using a long short-term memory network (LSTM) to learn the temporal dependency between water level changes and energy consumption;

[0087] The input layer of the pump station energy consumption model includes water level changes, pump operation time and environmental data; the output layer includes the energy consumption of the pump.

[0088] The dynamic programming model for the operation and scheduling of pumping stations in the region corresponds to a state transfer equation. For each pumping station i (i = 1, 2, ..., N), the transfer can be defined as follows:

[0089] Select pump station i: Run pump station i at time t and obtain the irrigation volume Q[i] and energy consumption C[i].

[0090] Transfer equation:

[0091] S(t,ω)=min(S(t-1,ω),S(t-1,ω-Q[i])+C[i])

[0092] The state S(t,ω) is the state at time t when the amount of water poured is w. ω≥Q[i].

[0093] Among them, S(t-1,ω) represents the energy consumption when pump station i is not used, and S(t-1,ω-Q[i])+C[i] represents the energy consumption after pump station i is used.

[0094] The boundary conditions of the state equation are set as:

[0095] Initial state: At time 0, the irrigation amount is 0 and the energy consumption is 0.

[0096] Infeasible state: At any time t, when the irrigation amount is less than 0, it is set to infinity, indicating that the state is unreachable.

[0097] S(t-1,ω)=∞if ω<0

[0098] Objective function: The goal is to minimize the total energy consumption while meeting the irrigation demand D, which is defined as:

[0099] Minimize S(T,D)

[0100] Where T is the total scheduling time and D is the target irrigation volume.

[0101] The implementation steps of the dynamic programming scheduling algorithm are as follows:

[0102] Step S41, initializing the state table: creating a two-dimensional array S, in which the rows represent time and the columns represent the amount of watering.

[0103] Step S42, filling the state table: gradually filling the state table according to the state transfer equation, traversing each time t and each pump station i.

[0104] Step S43, solution result: After filling the state table, find the minimum energy consumption value. If S(T,D) is not infinite, it means that the demand can be met, otherwise it means that it cannot be met.

[0105] like Figure 2 As shown, a HPLC-based irrigation and drainage measurement and control system includes an HPLC communication intelligent gateway 1, an HPLC node 2 and a data server 3. The HPLC communication intelligent gateway is the main node of the communication network in the HPLC irrigation and drainage measurement and control system, and is used for data scheduling and control instruction distribution. As an intermediary between the data server and the HPLC node, the HPLC communication intelligent gateway reports the sensor data obtained from the HPLC acquisition node to the data server, and also responds to the control instructions of the data server, and further sends the instructions to the HPLC control node to control the water pump, gate and solenoid valve corresponding to the node.

[0106] The HPLC node is the terminal node of the communication network in the HPLC irrigation and drainage measurement and control system, which is divided into HPLC acquisition node and HPLC control node. The HPLC acquisition node is connected to the field water level sensor to collect field water level information and transmit it to the HPLC intelligent gateway through HPLC communication. The HPLC control node realizes precise control of the pump station, gate and solenoid valve according to the control instructions of the HPLC communication intelligent gateway. The water pump control node also collects the energy consumption and equipment operation status of each pump station.

[0107] The data server deploys the irrigation volume prediction model, pump station energy consumption model, and dynamic programming model for pump station operation and scheduling in the region. The data server and the HPLC communication intelligent gateway use HPLC link for data exchange. The field water level information and rainfall information are input into the irrigation volume prediction model, and the results of the irrigation volume prediction model are input into the pump station energy consumption model and the dynamic programming model for pump station operation and scheduling in the region to obtain the status control information of the pump station, gate and solenoid valve in the corresponding region, and then the control instructions are sent to the HPLC communication intelligent gateway.

[0108] The preferred embodiments of the present invention are described in detail above; however, the present invention is not limited to the specific details in the above embodiments. Within the technical concept of the present invention, various equivalent transformations can be made to the technical solutions of the present invention, and these equivalent transformations all belong to the protection scope of the present invention.

Claims

1. A crop-energy synergistic high-standard farmland irrigation and drainage intelligent management method, characterized in that: The following steps are involved: S1: Establish a farmland irrigation and drainage decision model including data acquisition module, irrigation volume prediction module, pump station energy consumption module and dynamic programming module; S2: Collect field water level information using a data acquisition module, and transmit the data to a data server via low-voltage power line high-speed carrier communication; S3: The data server transmits the data to the irrigation amount prediction module, which combines the required water level knowledge and field size information of crops at different growth stages to predict the required irrigation amount; S4: A pump station energy consumption module is established according to the operation time of the water pump, and the pump station energy consumption module imports the pump station energy consumption prediction structure into the dynamic programming module; The farmland irrigation and drainage decision-making model opens or closes the pump station as needed to adjust the field water level and pump energy consumption, and makes decisions on irrigation and drainage of crops according to crop needs.

2. The crop-energy synergy high-standard farmland irrigation and drainage intelligent management and control method according to claim 1 is characterized in that: In steps S1 and S2: N water level sensors are set in the crop area, the water level sensors are connected to the communication node of the low-voltage power line high-speed carrier, the communication node is connected to the intelligent gateway of the low-voltage power line high-speed carrier, and the intelligent gateway transmits the data collected by the water level sensors to the data server.

3. The crop-energy synergy high-standard farmland irrigation and drainage intelligent management and control method according to claim 1 is characterized in that: In step S3, the irrigation amount prediction model includes four input variables, namely field water level information, rice growth stage information, field area and weather forecast data. The field water level information is the water level data of the field water level sensor collected by the data acquisition module; The rice growth stage information includes different rice growth stages, including sowing, tillering, heading and filling. The water level target is adjusted according to the needs at different growth stages. The field area is the field area measured in advance in the operation area; Precipitation forecast for the next 3 days based on weather forecast data.

4. The crop-energy synergy high-standard farmland irrigation and drainage intelligent management and control method according to claim 3 is characterized in that: The prediction process of the irrigation volume prediction model includes the following steps: Step S31: Data collection and processing: Obtain current water level data through field water level sensors; Determine the rice growth stage and its corresponding ideal water level range based on planting records; Get the weather forecast and get the expected rainfall data for the next 3 days; Step S32: Water level demand calculation: Irrigation requirement formula: Water demand = ideal water level - current water level Step S33: Watering amount adjustment: Irrigation volume adjustment formula: Adjusted water demand = water demand - precipitation forecast; If the rainfall is greater than the water demand, the irrigation amount is adjusted to a negative value.

5. The crop-energy synergy high-standard farmland irrigation and drainage intelligent management and control method according to claim 1 is characterized in that: In step S4, The data sources of the pump station energy consumption module include the pump power consumption P, operation time T and field water level change trend; The deep learning model of the pump station energy consumption module is constructed using a long short-term memory network. The input layer of the pump station energy consumption module includes water level changes, pump operating time and environmental data, and the output layer includes the energy consumption of the pump.

6. The crop-energy synergy high-standard farmland irrigation and drainage intelligent management and control method according to claim 1 is characterized in that: In step S4, the dynamic programming module includes the following steps when making a decision: Step S41: create an initialization state table of a two-dimensional array S, in which rows represent time and columns represent the amount of water poured; Step S42: gradually fill the state table according to the state transfer equation, traversing each time t and each pump station i; Step S43: After filling the state table, find the minimum energy consumption value. If S(T,D) is not infinite, it means that the demand can be met, otherwise it means that it cannot be met; The dynamic programming module corresponds to a state transfer equation. For each pump station i (i = 1, 2, ..., N), the transfer can be defined as follows: Select pump station i: operate pump station i at time t to obtain the irrigation volume Q[i] and energy consumption C[i]; Transfer equation: S(t,ω)=min(S(t-1,ω),S(t-1,ω-Q[i])+C[i]) Among them, the state S(t,ω) is the state at time t when the amount of water poured is w, ω≥Q[i]; Among them, S(t-1,ω) represents the energy consumption when pump station i is not used, and S(t-1,ω-Q[i])+C[i] represents the energy consumption after pump station i is used; The boundary conditions of the state equation are set as: Initial state: at time 0, the irrigation volume is 0 and the energy consumption is 0; Infeasible state: At any time t, when the water volume is less than 0, it is set to infinity, indicating that the state is unreachable; S(t-1,ω)=∞if ω<0; Objective function: The goal is to minimize the total energy consumption while meeting the irrigation demand D, which is defined as: Minimize S(T,D); Where T is the total scheduling time and D is the target irrigation volume.

7. A crop-energy synergistic high-standard farmland irrigation and drainage intelligent management and control system, comprising the crop-energy synergistic high-standard farmland irrigation and drainage intelligent management and control method according to any one of claims 1 to 6, characterized in that: The crop-energy coordinated high-standard farmland irrigation and drainage intelligent management and control system includes an intelligent gateway, a communication node and a data server, and data transmission is carried out among the three through a low-voltage power line high-speed carrier communication mode.

8. The crop-energy synergy high-standard farmland irrigation and drainage intelligent management and control system according to claim 7 is characterized in that: The communication node includes a data acquisition node and a control node. The acquisition node is connected to the field water level sensor to realize the collection of field water level information, and transmits it to the intelligent gateway through a low-voltage power line high-speed carrier communication method. The communication intelligent gateway transmits the collected data to the data server, realizes irrigation decisions according to the scheduling method of the crop-energy coordinated high-standard farmland irrigation, and transmits the decision results to the intelligent gateway. The intelligent gateway realizes precise control of the pump station, gate and solenoid valve through the control node according to the obtained decision results.

9. The crop-energy synergy high-standard farmland irrigation and drainage intelligent management and control system according to claim 8 is characterized in that: The crop-energy coordinated high-standard farmland irrigation and drainage intelligent management and control system has two working modes: irrigation and drainage. The irrigation working mode is executed during the crop irrigation stage, and the drainage working mode is executed during the non-irrigation period. The intelligent gateway controls the field solenoid valves and gates according to the collected field water level information and the set drainage water level height to realize field irrigation and drainage operations.

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