Management and control method and system for agricultural irrigation measurement and calculation method by changing electricity into water

Abstract

The invention provides a management and control method and system for an agricultural irrigation measurement and calculation method with water converted from electricity, and relates to the technical field of agricultural irrigation management.The method includes the steps that a water pump experiment is conducted under different operation parameters, power consumption and water pumping amount are recorded to construct a sub-vector set, and a water pumping amount curve is delimited according to the duration and water amount requirements of an irrigation task; the method comprises the following steps of: dividing a water pump into a plurality of sub-intervals, correcting the water pumping amount by utilizing a multiple regression model, calculating a corrected water-electricity conversion coefficient, analyzing a water pumping amount curve of each sub-interval, irrigation amount difference between sub-vectors and the water-electricity conversion coefficient to obtain a comprehensive irrigation optimization coefficient, and selecting the sub-vector with the maximum coefficient as a reference; and according to the sorted reference vectors, water pump parameters are adjusted in all the subintervals so as to optimize operation. By optimizing the operation parameters of the water pump and correcting the water pumping amount, precise irrigation control is achieved, and therefore the irrigation efficiency and the resource utilization rate are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of agricultural irrigation management, and in particular to a method and system for controlling agricultural irrigation using an electricity-to-water conversion method. Background Art

[0002] Traditional agricultural irrigation systems face a range of technical issues related to efficiency and management. Typically, water pumps operate under fixed operating parameters and lack the ability to dynamically respond to actual irrigation needs. This approach can lead to waste of water resources and excessive energy consumption, as water pumps cannot adjust in real time to accommodate varying water demands and irrigation durations. Lack of optimized pump performance can lead to equipment overload or frequent starts and stops, ultimately making it impossible to precisely manage agricultural irrigation. Many systems rely on manual operations and rules of thumb, lacking data-driven precision control. This not only reduces irrigation efficiency and accuracy but can also place an unnecessary burden on the environment. Traditional methods lack the flexibility to adjust irrigation strategies for different crops and soil types, making it difficult to achieve rational utilization and optimal allocation of water resources.

[0003] In the existing technology, "electricity-to-water conversion" is a commonly used method for determining the specific water consumption in agricultural irrigation. The basic principle of this method is to infer the pumping efficiency based on the power usage of the water pump, and then indirectly estimate the irrigation water. However, this method has certain limitations, mainly due to the lack of real-time data support and dynamic adjustment mechanism. During use, the efficiency of the water pump will be affected by multiple factors, such as the pump's head, voltage, frequency, volume flow, etc. These factors will cause the pumping deviation under different irrigation tasks and irrigation durations, thereby leading to the problem of over-irrigation or under-irrigation of farmland.

[0004] Therefore, it is necessary to provide a method and system for controlling agricultural irrigation using an electricity-to-water measurement method to solve the above problems.

[0005] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not form the prior art that is already known to a person of ordinary skill in the art. Summary of the Invention

[0006] The object of the present invention is to provide a method and system for controlling agricultural irrigation using an electricity-to-water measurement method to solve the problems raised in the above-mentioned background technology.

[0007] To achieve the above object, the present invention provides the following technical solutions: A method for controlling agricultural irrigation using an electricity-to-water conversion method, comprising the following steps: Step 1: Drive the agricultural irrigation water pump to conduct a pumping experiment under different operating parameter combinations, and record the power consumption and water pumping volume of the agricultural irrigation water pump under different operating parameter combinations within the set unit operating time. Associate the water pump operating parameter combinations with the corresponding power consumption and water pumping volume to construct a set of subvectors; Step 2: Obtain the irrigation duration and irrigation volume requirements of the irrigation task to be processed, draw a water pumping curve based on the irrigation duration and irrigation volume requirements, divide the irrigation duration into an integer number of subintervals with a unit running time length, and obtain the water pumping curve within each subinterval; Step 3: Based on the operating parameters of the water pump, a multivariate regression model is constructed to correct the pumping capacity. The regression coefficient is determined by the least squares method. The error between the predicted value and the actual value is minimized to obtain the corrected pumping capacity. The water-to-electricity conversion coefficient of the corrected sub-vector is calculated based on the corrected pumping capacity and the power consumption of the corresponding sub-vector. Step 4: Based on the pumping curve within each subinterval, traverse all subvectors and analyze the irrigation volume differences between each subvector. A comprehensive analysis of the pumping curve within each subinterval, the irrigation volume differences between each subvector, and the water-to-electricity conversion coefficient is performed to obtain the corresponding comprehensive irrigation optimization coefficient. The subvector with the largest comprehensive irrigation optimization coefficient is selected as the reference vector for that subinterval. Step 5: Sort the reference vectors corresponding to all subintervals according to their pumping capacity. Within the time range of the corresponding subinterval, the pump operates according to the operating parameter combination of the corresponding reference vector.

[0008] Furthermore, the operating parameters of the water pump, including head, flow rate, power supply voltage, and frequency, are obtained, and a set of sub-vectors are constructed by associating the water pump operating parameter combination with the corresponding power consumption and water pumping capacity. The method is as follows: Install pressure sensors at the water outlet and water inlet of the water pump to measure the water pressure difference to obtain the water pump head in each parameter combination; install a turbine flowmeter at the water outlet of the water pump to measure the cross-sectional area of ​​the pipe and the water flow velocity to obtain the volume flow rate of the water pump in each parameter combination; use a voltmeter or power monitoring module to directly measure the voltage of the water pump power supply line, and the voltage value in each parameter combination is directly measured by the voltmeter; use a frequency meter to measure the frequency of the AC power supply, and the frequency in each parameter combination is directly measured by the frequency meter; After each set of parameter combinations of the water pump works for the set unit operating time, the corresponding pumping volume and power consumption of the parameter combination are obtained. The unit operating time is determined according to the specific irrigation task requirements and irrigation duration requirements. Each parameter combination has the same set unit operating time, and during this period, the entire operating parameters of each group do not change, maintaining a consistent working state. The sub-vector formed is expressed as: ; in, Indicates the The sub-vectors corresponding to the parameter combinations are: Indicates the number of the parameter combination, It is also the total number of sub-vectors corresponding to the parameter combination, 、 、 and Respectively represent The operating parameters of the pump with this parameter combination include head, flow, power supply voltage and frequency. and Respectively represent The pumping volume and power consumption of the parameter combination in unit operating time.

[0009] Furthermore, the pumping curve is delineated, and the irrigation time is divided into a positive integer number of subintervals with a length of unit operation time to obtain the pumping curve of each subinterval. The method is as follows: When the pumping volume curve is drawn according to the irrigation duration and irrigation volume requirements, the horizontal axis of the pumping volume curve is time, and the vertical axis is the real-time water output of the pump. The constructed pumping volume curve is: ; in, represents the pumping capacity curve, and Respectively represent the irrigation volume requirement and irrigation duration requirement of the irrigation task to be irrigated. Indicates the maximum water output of the pump. represents the curve steepness coefficient, is the time variable, .

[0010] Furthermore, the operating time of the water pump is adjusted according to the following method: When the irrigation duration is an integer multiple of the unit operating time, there is no need to adjust the irrigation duration and it is directly divided evenly. When the irrigation duration is not an integer multiple of the unit operating time, the number of integer unit operating time periods is calculated and rounded down. The adjusted total time is then calculated by dividing the integer number of time periods by the unit operating time period. The formula is: ; in, Indicates rounding down, that is, taking the largest integer that does not exceed the result; is the number of unit operating time periods after rounding down, Indicates the set unit running time length, is the index of the subinterval after division, and .

[0011] Furthermore, the irrigation amount in each sub-interval is obtained based on the pumping amount curve, and the corresponding comprehensive irrigation optimization coefficient is calculated according to the following method: For each sub-interval corresponding to the pumping curve, the irrigation volume of the sub-interval is obtained by integrating the curve, based on the formula: ; in, Indicates irrigation according to the pumping curve. The total irrigation volume of each sub-area, Indicates the The starting time point of each subinterval, Indicates the The end time point of the subinterval.

[0012] Furthermore, the method for obtaining the corresponding comprehensive irrigation optimization coefficient is as follows: Compare the irrigation amount of each subinterval with the corresponding pumping amount within each subvector, and calculate the difference as the irrigation amount difference. The formula is: ; in, Indicates the The total irrigation volume of each sub-interval and the The irrigation amount difference of the pumping amount corresponding to the sub-vectors is Indicates the In the subinterval The amount of water pumped corresponding to the sub-vectors, Indicates the The total irrigation volume of each sub-area, is the index of each subvector in each subinterval, and , is the total number of subvectors in each subinterval, is the total number of sub-vectors; The corresponding comprehensive irrigation optimization coefficient is obtained by comprehensive analysis based on the irrigation volume difference and the water-to-electricity conversion coefficient. The formula is as follows: ; in, Indicates the The total irrigation volume of each sub-interval and the The comprehensive irrigation optimization coefficient between the sub-vectors, Indicates the The hydropower conversion coefficient after the sub-vector correction; Each sub-vector traverses each sub-interval, and the comprehensive irrigation optimization coefficient of each sub-vector and the corresponding sub-interval is calculated respectively, and the sub-vector with the largest comprehensive irrigation optimization coefficient is selected as the reference vector of the sub-interval.

[0013] The present invention further provides a management and control system for agricultural irrigation using an electricity-to-water conversion algorithm, the management and control system being used to execute the above-mentioned management and control method for agricultural irrigation using an electricity-to-water conversion algorithm, comprising: The experimental data acquisition module is used to drive the agricultural irrigation water pump to conduct pumping experiments under different operating parameter combinations, and record the power consumption and water pumping volume of the agricultural irrigation water pump under different operating parameter combinations within a set unit operating time length, and associate the water pump operating parameter combinations with the corresponding power consumption and water pumping volume to construct a set of subvectors; The irrigation demand analysis module is used to obtain the irrigation time and irrigation volume requirements of the irrigation task to be irrigated, and to draw a water pumping curve based on the irrigation time and irrigation volume requirements. The irrigation time is divided into an integer number of subintervals with a unit length of operation time, and the water pumping curve within each subinterval is obtained. The multivariate regression correction module builds a multivariate regression model for correcting the pumping capacity based on the operating parameters of the water pump. The regression coefficient is determined by the least squares method, and the error between the predicted value and the actual value is minimized to obtain the corrected pumping capacity. The water-to-electricity conversion coefficient of the corrected sub-vector is calculated based on the corrected pumping capacity and the power consumption of the corresponding sub-vector. The optimization coefficient analysis module is used to traverse all sub-vectors based on the pumping curve within each sub-interval, analyze the irrigation volume difference between each sub-vector, and comprehensively analyze the pumping curve within each sub-interval, the irrigation volume difference between each sub-vector, and the water-to-electricity conversion coefficient to obtain the corresponding comprehensive irrigation optimization coefficient. The sub-vector with the largest comprehensive irrigation optimization coefficient is selected as the reference vector for the sub-interval. The operating parameter execution module is used to sort the reference vectors corresponding to all sub-intervals according to their water pumping capacity. Within the time range of the corresponding sub-interval, the water pump works according to the operating parameter combination of the corresponding reference vector.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The present invention significantly improves the energy efficiency and accuracy of agricultural irrigation systems by optimizing the operating parameters of water pumps and establishing accurate pumping rate curves. This ensures that when the system faces different irrigation tasks, it can accurately and automatically select the irrigation rate corresponding to the optimal parameter combination in each sub-interval time period to achieve reasonable irrigation of farmland. The pumping rate curve is converted into interval-type broken line segments. The system can reasonably dispatch and sort reference vectors to control water consumption under different irrigation durations and different irrigation tasks, ensuring the stability and efficiency of the irrigation process. The present invention also uses a multivariate regression model to correct the water pumping volume, improves the accuracy of the water-to-electricity conversion coefficient based on the correction of the water pumping volume, establishes a model relationship between the water pumping volume and the power consumption, and achieves maximum energy saving while meeting irrigation needs through comprehensive analysis of the water-to-electricity conversion coefficient and the difference in irrigation volume. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 Schematic diagram of the overall method of the present invention.

[0016] Figure 2 It is a schematic diagram of the system module flow of the present invention. DETAILED DESCRIPTION

[0017] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below with reference to specific embodiments.

[0018] It should be noted that, unless otherwise defined, the technical or scientific terms used in the present invention should have the usual meanings understood by people with ordinary skills in the field to which the present invention belongs. The "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative position relationships. When the absolute position of the object being described changes, the relative position relationship may also change accordingly.

[0019] Example: See also Figure 1 A method for controlling agricultural irrigation using electricity-to-water conversion method, comprising the following steps: Step 1: Drive the agricultural irrigation water pump to conduct a pumping experiment under different operating parameter combinations, and record the power consumption and water pumping volume of the agricultural irrigation water pump under different operating parameter combinations within the set unit operating time. Associate the water pump operating parameter combinations with the corresponding power consumption and water pumping volume to construct a set of subvectors.

[0020] In this embodiment, the operating parameters of the water pump including head, flow rate, power supply voltage and frequency are obtained according to the following method: Install pressure sensors at the water outlet and water inlet of the water pump to measure the water pressure difference. The formula for calculating the pump head is: ; in, Indicates the pump head in each parameter combination. is the water pressure at the outlet, is the water pressure at the water inlet, is the density of water, is the acceleration due to gravity; Install a turbine flowmeter at the outlet of the water pump to measure the cross-sectional area of ​​the pipe and the water flow velocity to calculate the volume flow of the water pump. The formula is: ; in, Indicates the volume flow of the water pump in each set of parameter combinations, is the cross-sectional area of ​​the pipe, is the water flow velocity; Use a voltmeter or power monitoring module to directly measure the voltage of the water pump power supply line. Provided by direct measurement of the voltmeter; using a frequency meter to measure the frequency of the AC power supply, the frequency Directly measured by a frequency meter.

[0021] In this embodiment, the agricultural irrigation water pump used in the pumping test and the water pump used in the subsequent irrigation planning are the same model of pumping pumps. During the pumping experiment, since the operating parameters of the water pump include head, flow, power supply voltage and frequency, the parameters can be set in a gradient. For example, the power supply voltage of the water pump will be clearly marked on the nameplate or instruction manual of the water pump. Assuming that the working voltage of the water pump is 200V-240V, the voltage parameters are set in a gradient, for example, it can be set to four options of 200V, 210V, 220V, 230V and 240V. Similarly, the operating parameters of the water pump include head, flow, and power supply frequency, which are also set to multiple options. When constructing a parameter combination, any one of the four categories of head, flow, power supply voltage and frequency can be selected to form a set of parameter combinations.

[0022] Furthermore, each parameter combination will have a corresponding pumping volume and power consumption after working for a set unit operating time. The unit operating time can be set according to demand. Each parameter combination has the same working unit operating time. When each parameter combination works within the unit operating time, the entire operating parameter does not change. The sub-vector formed can be expressed as: ; in, Indicates the The sub-vectors corresponding to the parameter combinations are: Indicates the number of the parameter combination, It is also the total number of sub-vectors corresponding to the parameter combination, 、 、 and Respectively represent The operating parameters of the pump with this parameter combination include head, flow, power supply voltage and frequency. and Respectively represent The pumping volume and power consumption of the parameter combination in unit operating time.

[0023] Step 2: Obtain the irrigation duration and irrigation volume requirements of the irrigation task to be irrigated, draw a water pumping curve based on the irrigation duration and irrigation volume requirements, divide the irrigation duration into an integer number of subintervals with a unit running time length, and obtain the water pumping curve in each subinterval.

[0024] In this embodiment, the irrigation duration refers to the shortest acceptable working time under the premise of meeting the irrigation volume requirement. The dimension of the irrigation duration requirement is the same as the dimension of the unit operating time mentioned above. The dimension of the irrigation volume requirement is volume, which is the same as the flow dimension in the above-mentioned water pump operating parameters. When the pumping volume curve is drawn according to the irrigation duration requirement and the irrigation volume requirement, the horizontal axis of the pumping volume curve is time and the vertical axis is the real-time water output of the water pump. The constructed pumping volume curve is: ; in, represents the pumping capacity curve, and Respectively represent the irrigation volume requirement and irrigation duration requirement of the irrigation task to be irrigated. Indicates the maximum water output of the pump. represents the curve steepness coefficient, Time variable ， .

[0025] In this embodiment, to complete the irrigation task, the water pump's flow rate must be controlled to create an executable and reasonable pumping curve while meeting key requirements such as irrigation volume and duration. This pumping curve must not only meet the total irrigation volume requirements but also ensure that the pump's water delivery rate at any given moment does not exceed its maximum operating capacity.

[0026] This embodiment uses a logistic function with an S-shaped characteristic as the basic form of the pumping volume curve. This function has the mathematical advantages of continuity, smoothness, and controllability. It can effectively simulate the flow change trend during the start and stop of the water pump, and help improve the stability and accuracy of the water pump control.

[0027] The pumping capacity curve uses time as the horizontal axis and the water flow rate of the pump at the corresponding moment as the vertical axis. This curve has the following characteristics: it changes continuously within the time range [0, T], showing a typical S-shaped growth pattern from low to high and then flattening; it reaches a peak flow rate near the midpoint of time T / 2 and then gradually stabilizes, simulating the startup, acceleration, stable operation and deceleration process of the water pump. The integral value of the flow rate function is equal to the irrigation demand, ensuring that the water demand is accurately met. By properly setting the parameter k, the flow rate of the curve at any time can be strictly controlled to not exceed the maximum water output capacity of the pump.

[0028] The maximum value of the logistic function occurs at the midpoint of the curve, and the maximum value is forced to be After that, the expression of k can be inversely deduced, which can ensure that the irrigation volume meets the requirements while avoiding exceeding the pump's carrying capacity due to excessive instantaneous flow, thereby achieving a safe and reasonable control curve. In summary, the above-mentioned pumping volume curve is a pumping volume curve based on the Logistic function, and is combined with the irrigation duration and irrigation volume requirements. By accurately setting the steepness coefficient k, it can effectively meet the various constraints of the safe operation of the pump while ensuring that the irrigation target is achieved.

[0029] Furthermore, when the irrigation time is divided into an integer number of subintervals with a length of the unit running time, the rounding down method is used. For example, if the irrigation time requirement is 61 minutes and the length of the unit running time is 5 minutes, the subinterval is divided into 12 intervals. When obtaining the pumping curve in each subinterval, the pumping curve is divided according to the length of each subinterval. The subintervals are continuous, and the end time of the previous subinterval is the start time of the next subinterval. The curve corresponding to the subinterval is, and the division is carried out in the form of a closed-in-front and open-in-back interval. For example: The time interval of the subinterval is , and Respectively represent The start and end time of each subinterval, The time interval of the subinterval is ,in .

[0030] Furthermore, when the irrigation duration is an integer multiple of the unit operating time, there is no need to adjust the irrigation duration and it can be directly divided evenly; when the irrigation duration is not an integer multiple of the unit operating time, the number of integer unit operating time periods is calculated and rounded down, and then the adjusted total time is calculated by the number of integer time periods and the unit operating time period. The formula is: ; in, Indicates rounding down, that is, taking the largest integer that does not exceed the result; is the number of unit operating time periods after rounding down, Indicates the set unit running time length, is the index of the subinterval after division, and .

[0031] When dividing the irrigation duration into subintervals of unit run time length, if the irrigation duration is not an integer multiple of the unit run time, the number of complete unit run time periods is first calculated and rounded down. Any remaining time periods that are less than a unit run time length are discarded when dividing the subintervals because their length does not meet the requirement of a complete unit run time. This is done by retaining only N complete subintervals of unit run time length, ensuring that each subinterval has a consistent length and meets the preset run time standard.

[0032] When obtaining the pumping capacity curve in each subinterval, take the 0 time variable as the starting point and retain the time variable from 0 to The curve within the time range, that is, The time interval of the curve intercepted in the curve is The curve data within the time range is discarded, and the remaining part beyond the time range is ensured to keep the length of the pumping curve corresponding to the divided sub-interval consistent with the time division, which is convenient for subsequent segmented analysis and control scheduling. The starting point and the intercepted length range can be clearly defined, and the corresponding relationship between the curve and the time division is emphasized.

[0033] Step 3: Based on the operating parameters of the water pump, a multivariate regression model is constructed to correct the pumping capacity. The regression coefficient is determined by the least squares method. The error between the predicted value and the actual value is minimized to obtain the corrected pumping capacity. The water-to-electricity conversion coefficient of the corrected sub-vector is calculated based on the corrected pumping capacity and the power consumption of the corresponding sub-vector.

[0034] In this embodiment, based on each divided subinterval, the operating parameters of the water pump are used to construct a multivariate regression model for correcting the pumping volume in each subinterval: ; in, For the The predicted value of the water pumping volume corresponding to the operating parameter combination of the sub-vectors, For the The power consumption of the pump corresponding to the pumping amount of the sub-vector operating parameter combination water pump, 、 、 、 、 is the regression coefficient, is the bias term in the multiple regression equation, 、 、 、 、 Respectively represent The power consumption, head, voltage, frequency and volume flow of the pump measured in each sub-vector; The regression coefficient is determined by the least squares method to minimize the error between the predicted and actual pumping volume, based on the formula: ; in, is the index of the subvector, , 、 、 、 、 They are respectively from the first sub-vector to the The independent variable value of the water pump corresponding to the sub-vector, It means to find the regression coefficient that minimizes the error between the predicted value and the actual value of the water pumping volume from all sub-vectors. The actual pumping volume corresponding to each sub-vector parameter combination obtained by traversing all sub-vectors; The regression coefficients obtained based on the least squares method 、 、 、 、 Substitute this into the multiple regression model to obtain the corrected value of the water pumping volume corresponding to each sub-vector in each sub-interval. The formula is: ; in, Indicates the The actual value of the water pumping volume in the sub-vectors, each sub-interval contains sub-vectors, It is The measured value of the water pumping volume corresponding to the sub-vector, Indicates the corresponding The water pumping amount correction value of the sub-vector; According to the corrected value of the pumping capacity after model correction and the power consumption corresponding to each sub-vector obtained in real time, the water-to-electricity conversion coefficient of the corrected sub-vector is calculated based on the following formula: ; in, Indicates the The hydropower conversion coefficient after sub-vector correction.

[0035] In this embodiment, a multivariate regression model is constructed to find the relationship between power consumption and water pumping volume to determine the water-to-electricity conversion coefficient. However, it cannot be ignored that in actual water pumping operation, due to external factors such as the pump head, voltage, frequency, volume flow rate, etc., the actual water pumping volume of the water pump may not be consistent with the measured water pumping volume. Therefore, based on the multivariate regression model, the least squares method is used to determine the correction value of the water pumping volume, further optimize the multivariate regression model structure, and further improve the accuracy of the water-to-electricity conversion coefficient by accurately calculating the water pumping volume. Therefore, the actual water pumping volume can be more accurately determined from the power consumption displayed by the electric meter.

[0036] Step 4: Based on the pumping curve within each subinterval, traverse all subvectors, analyze the irrigation volume differences between each subvector, and comprehensively analyze the pumping curve within each subinterval, the irrigation volume differences between each subvector, and the water-to-electricity conversion coefficient to obtain the corresponding comprehensive irrigation optimization coefficient. Select the subvector with the largest comprehensive irrigation optimization coefficient as the reference vector for this subinterval.

[0037] In this embodiment, after being divided into various sub-intervals, each sub-interval corresponds to a pumping rate curve. The irrigation rate of the sub-interval can be obtained by integrating the curve. The formula is: ; in, Indicates irrigation according to the pumping curve. The total irrigation volume of each sub-area, Indicates the The starting time point of each subinterval, Indicates the The end time point of the subinterval.

[0038] The logic for obtaining the corresponding comprehensive irrigation optimization coefficient is: Compare the irrigation amount of each subinterval with the corresponding pumping amount within each subvector, and calculate the difference as the irrigation amount difference. The formula is: ; in, Indicates the The total irrigation volume of each sub-interval and the The irrigation amount difference of the pumping amount corresponding to the sub-vectors is Indicates the In the subinterval The amount of water pumped corresponding to the sub-vectors, Indicates the The total irrigation volume of each sub-area, is the index of each subvector in each subinterval, and , is the total number of subvectors in each subinterval, is the total number of sub-vectors; The corresponding comprehensive irrigation optimization coefficient is obtained by comprehensive analysis based on the irrigation volume difference and the water-to-electricity conversion coefficient. The formula is as follows: ; in, Indicates the The total irrigation volume of each sub-interval and the The comprehensive irrigation optimization coefficient between the sub-vectors, Indicates the The hydropower conversion coefficient after the sub-vector correction; Each sub-vector traverses each sub-interval, and the comprehensive irrigation optimization coefficient of each sub-vector and the corresponding sub-interval is calculated respectively, and the sub-vector with the largest comprehensive irrigation optimization coefficient is selected as the reference vector of the sub-interval.

[0039] In this embodiment, the irrigation process is divided into several subintervals of equal time length. Each subinterval corresponds to a section of the pumping volume curve. By integrating this section of the curve, the irrigation water volume when the pumping volume curve is used for irrigation in the subinterval can be obtained. The actual irrigation water volume of each subinterval is compared with the pumping volume corresponding to different water pump operating parameter combinations, and the difference between the two is calculated. This difference reflects the degree of match between the current operating parameter combination and the irrigation demand within the time period. The smaller the difference, the more the parameter combination can meet the actual irrigation needs and the higher the matching degree.

[0040] In order to comprehensively consider the energy-saving efficiency of the water pump, the water-to-electricity conversion coefficient is introduced. This coefficient represents the amount of water pumped per unit of electricity consumption. The larger the value, the more energy-efficient the water pump operation is. The calculation logic of the comprehensive irrigation optimization coefficient is to divide the water-to-electricity conversion coefficient by the difference in irrigation volume. Through this calculation method, while ensuring a good match between irrigation demand, the operating parameter combination with higher energy efficiency can be given priority. Specifically, the larger the water-to-electricity conversion coefficient, the better the energy-saving effect of the water pump, and the smaller the difference in irrigation volume, the closer the water pump operating parameters are to the actual irrigation demand. Dividing the two reflects both the advantage of energy-saving efficiency and the closeness of demand matching.

[0041] Therefore, the larger the comprehensive irrigation optimization coefficient, the more efficient and energy-saving this operating parameter combination is within the current sub-interval, and the more accurately it can meet irrigation needs. It is the best choice for this time period. The comprehensive irrigation optimization coefficients of all candidate parameter combinations will be calculated for each sub-interval, and the parameter combination with the largest comprehensive coefficient will be selected as the reference vector for this sub-interval. This ensures that the operation of the water pump during the irrigation process is economical and scientific, dynamically adjusts the water pump status, and achieves dual optimization of energy saving and irrigation effects.

[0042] The hydropower conversion coefficient reflects the energy efficiency level of the water pump operation. The larger the value, the more water is converted per unit of electrical energy, and the more energy-saving the operation is. The difference in irrigation volume reflects the deviation between the actual water pumping volume of the water pump and the irrigation demand. The smaller the difference, the more accurate the irrigation. By taking the energy efficiency index as the numerator and the deviation of the irrigation matching degree as the denominator, the comprehensive coefficient can take into account the energy-saving effect and irrigation accuracy at the same time, and achieve a balanced optimization of the two. The parameter combination with good performance in both aspects of the comprehensive coefficient obtains a higher evaluation value, which intuitively reflects the optimization standard, avoiding the pursuit of energy saving while ignoring irrigation demand, and avoiding focusing on irrigation matching while ignoring energy efficiency, ensuring that the selected plan has comprehensive advantages.

[0043] Step 5: Sort the reference vectors corresponding to all subintervals according to their pumping capacity. Within the time range of the corresponding subinterval, the pump operates according to the operating parameter combination of the corresponding reference vector.

[0044] In this embodiment, the reference vectors corresponding to all subintervals are aggregated. Each subinterval has a corresponding reference vector that includes the pump's head, flow rate, power supply voltage, and frequency, as well as the pumping capacity corresponding to that parameter combination. The pumping capacities corresponding to all subinterval reference vectors are extracted and sorted in ascending or descending order. This sorting process clarifies the pumping demand of the pump in different time periods to facilitate subsequent scheduling. Based on the subintervals divided in step 2, a correspondence is established between each time interval and the sorted reference vectors. This ensures that each time period has a clear operating parameter combination and that the subintervals are continuous and non-overlapping. The sorted reference vector operating parameters are sequentially called based on the time schedule. Within each subinterval, the pump operates according to the corresponding head, flow rate, voltage, and frequency parameters. Switching is ensured to be smooth to avoid equipment shock. The pump operates dynamically according to the sorted parameters throughout the irrigation period, accurately matching the pumping capacity with the irrigation demand, maximizing energy savings and ensuring safe and stable equipment operation.

[0045] The irrigation task is divided into multiple subintervals of equal length. Each subinterval has an ideal pumping demand (derived from the integral of the pumping curve). A "reference vector" is selected for each subinterval, which is the optimal combination of pump operating parameters within the subinterval. This combination can better meet the pumping demand during that period while taking into account energy efficiency.

[0046] However, the pumping capacity corresponding to the reference vectors in different sub-intervals is different. The purpose of sorting these reference vectors is to reasonably arrange the operating parameters of the pump under different pumping capacity requirements and realize dynamic adjustment and optimization control. By sorting the reference vectors of all sub-intervals according to the pumping capacity, the pumping demand level of the pump in different time periods can be clarified, so that the pump can dynamically adjust the operating status according to the actual irrigation demand, avoiding blind full load or inefficient operation. The sorted operation strategy can achieve a smooth transition, reduce frequent start and stop of the pump and extreme parameter changes, and improve equipment stability and service life.

[0047] By sorting the reference vectors of each subinterval according to the pumping volume, an orderly operation strategy is formed, which enables the water pump to dynamically adjust its operating parameters in different time periods, thereby achieving the best match between irrigation demand and water pump performance, maximizing irrigation efficiency and energy saving effects, and ensuring the safe and stable operation of the equipment.

[0048] The present invention further provides a management and control system for agricultural irrigation using an electricity-to-water conversion algorithm, the management and control system being used to execute the above-mentioned management and control method for agricultural irrigation using an electricity-to-water conversion algorithm, comprising: The experimental data acquisition module is used to drive the agricultural irrigation water pump to conduct pumping experiments under different operating parameter combinations, and record the power consumption and water pumping volume of the agricultural irrigation water pump under different operating parameter combinations within a set unit operating time length, and associate the water pump operating parameter combinations with the corresponding power consumption and water pumping volume to construct a set of subvectors; The irrigation demand analysis module is used to obtain the irrigation time and irrigation volume requirements of the irrigation task to be irrigated, and to draw a water pumping curve based on the irrigation time and irrigation volume requirements. The irrigation time is divided into an integer number of subintervals with a unit length of operation time, and the water pumping curve within each subinterval is obtained. The multivariate regression correction module builds a multivariate regression model for correcting the pumping capacity based on the operating parameters of the water pump. The regression coefficient is determined by the least squares method, and the error between the predicted value and the actual value is minimized to obtain the corrected pumping capacity. The water-to-electricity conversion coefficient of the corrected sub-vector is calculated based on the corrected pumping capacity and the power consumption of the corresponding sub-vector. The optimization coefficient analysis module is used to traverse all sub-vectors based on the pumping curve within each sub-interval, analyze the irrigation volume difference between each sub-vector, and comprehensively analyze the pumping curve within each sub-interval, the irrigation volume difference between each sub-vector, and the water-to-electricity conversion coefficient to obtain the corresponding comprehensive irrigation optimization coefficient. The sub-vector with the largest comprehensive irrigation optimization coefficient is selected as the reference vector for the sub-interval. The operating parameter execution module is used to sort the reference vectors corresponding to all sub-intervals according to their water pumping capacity. Within the time range of the corresponding sub-interval, the water pump works according to the operating parameter combination of the corresponding reference vector.

[0049] The above formulas are all dimensionless and numerical calculations. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formulas are set by technicians in this field according to actual conditions.

[0050] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed by hardware or software depends on the specific application and design constraints of the technical solution.

[0051] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, and may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment as needed.

[0052] The above is only a specific implementation method of the present application, but the scope of protection of the present application is not limited thereto. Any technician familiar with this technical field can easily think of changes or replacements within the technical scope disclosed in this application, which should be covered by the scope of protection of the present application.

Claims

1. A method for controlling agricultural irrigation using electricity-to-water conversion, characterized in that: The specific steps include: Step 1: Drive the agricultural irrigation water pump to conduct a pumping experiment under different operating parameter combinations, and record the power consumption and water pumping volume of the agricultural irrigation water pump under different operating parameter combinations within the set unit operating time. Associate the water pump operating parameter combinations with the corresponding power consumption and water pumping volume to construct a set of subvectors; Step 2: Obtain the irrigation duration and irrigation volume requirements of the irrigation task to be processed, draw a water pumping curve based on the irrigation duration and irrigation volume requirements, divide the irrigation duration into an integer number of subintervals with a unit running time length, and obtain the water pumping curve within each subinterval; Step 3: Based on the operating parameters of the water pump, a multivariate regression model is constructed to correct the pumping capacity. The regression coefficient is determined by the least squares method. The error between the predicted value and the actual value is minimized to obtain the corrected pumping capacity. The water-to-electricity conversion coefficient of the corrected sub-vector is calculated based on the corrected pumping capacity and the power consumption of the corresponding sub-vector. Step 4: Based on the pumping curve within each subinterval, traverse all subvectors and analyze the irrigation volume differences between each subvector. A comprehensive analysis of the pumping curve within each subinterval, the irrigation volume differences between each subvector, and the water-to-electricity conversion coefficient is performed to obtain the corresponding comprehensive irrigation optimization coefficient. The subvector with the largest comprehensive irrigation optimization coefficient is selected as the reference vector for that subinterval. Step 5: Sort the reference vectors corresponding to all subintervals according to their pumping capacity. Within the time range of the corresponding subinterval, the pump operates according to the operating parameter combination of the corresponding reference vector.

2. The method for controlling agricultural irrigation using electricity-to-water conversion method according to claim 1, characterized in that: The operating parameters of the water pump, including head, flow rate, power supply voltage, and frequency, are obtained. The operating parameters are then combined with the corresponding power consumption and water volume to construct a set of sub-vectors. The method used is: Install pressure sensors at the water outlet and water inlet of the water pump to measure the water pressure difference to obtain the water pump head in each parameter combination; install a turbine flowmeter at the water outlet of the water pump to measure the cross-sectional area of ​​the pipe and the water flow velocity to obtain the volume flow rate of the water pump in each parameter combination; use a voltmeter or power monitoring module to directly measure the voltage of the water pump power supply line, and the voltage value in each parameter combination is directly measured by the voltmeter; use a frequency meter to measure the frequency of the AC power supply, and the frequency in each parameter combination is directly measured by the frequency meter; After each set of parameter combinations of the water pump works for the set unit operating time, the corresponding pumping volume and power consumption of the parameter combination are obtained. The unit operating time is determined according to the specific irrigation task requirements and irrigation duration requirements. Each parameter combination has the same set unit operating time, and during this period, the entire operating parameters of each group do not change, maintaining a consistent working state. The sub-vector formed is expressed as: ； in, Indicates the The sub-vectors corresponding to the parameter combinations are: Indicates the number of the parameter combination, It is also the total number of sub-vectors corresponding to the parameter combination, 、 、 and Respectively represent The operating parameters of the pump with this parameter combination include head, flow, power supply voltage and frequency. and Respectively represent The pumping volume and power consumption after the three parameter combinations work in unit operating time.

3. The method for controlling agricultural irrigation using electricity-to-water conversion method according to claim 2, characterized in that: To draw the pumping curve, the irrigation time is divided into a positive integer number of subintervals with a unit running time to obtain the pumping curve of each subinterval. The method is as follows: When the pumping volume curve is drawn according to the irrigation duration and irrigation volume requirements, the horizontal axis of the pumping volume curve is time, and the vertical axis is the real-time water output of the pump. The constructed pumping volume curve is: ； in, represents the pumping capacity curve, and Respectively represent the irrigation volume requirement and irrigation duration requirement of the irrigation task to be irrigated. Indicates the maximum water output of the pump. represents the curve steepness coefficient, is the time variable, .

4. The method for controlling agricultural irrigation using electricity-to-water conversion method according to claim 3, characterized in that: Adjust the working time of the water pump according to the following method: When the irrigation duration is an integer multiple of the unit operating time, there is no need to adjust the irrigation duration and it is directly divided evenly. When the irrigation duration is not an integer multiple of the unit operating time, the number of integer unit operating time periods is calculated and rounded down. The adjusted total time is then calculated by dividing the integer number of time periods by the unit operating time period. The formula is: ； in, Indicates rounding down, that is, taking the largest integer that does not exceed the result; is the number of unit operating time periods after rounding down, Indicates the set unit running time length, is the index of the subinterval after division, and .

5. The method for controlling agricultural irrigation using electricity-to-water conversion method according to claim 4, characterized in that: The irrigation amount in each sub-interval is obtained based on the pumping curve, and the corresponding comprehensive irrigation optimization coefficient is calculated according to the following method: For each sub-interval corresponding to the pumping curve, the irrigation volume of the sub-interval is obtained by integrating the curve, based on the formula: ； in, Indicates irrigation according to the pumping curve. The total irrigation volume of each sub-area, Indicates the The starting time point of each subinterval, Indicates the The end time point of the subinterval.

6. The method for controlling agricultural irrigation using electricity-to-water conversion method according to claim 5, characterized in that: The method for obtaining the corresponding comprehensive irrigation optimization coefficient is based on: Compare the irrigation amount of each subinterval with the corresponding pumping amount within each subvector, and calculate the difference as the irrigation amount difference. The formula is: ； in, Indicates the The total irrigation volume of each sub-interval and the The irrigation amount difference of the pumping amount corresponding to the sub-vectors is Indicates the In the subinterval The amount of water pumped corresponding to the sub-vectors, Indicates the The total irrigation volume of each sub-area, is the index of each subvector in each subinterval, and , is the total number of subvectors in each subinterval, is the total number of sub-vectors; The corresponding comprehensive irrigation optimization coefficient is obtained by comprehensive analysis based on the irrigation volume difference and the water-to-electricity conversion coefficient. The formula is as follows: ； in, Indicates the The total irrigation volume of each sub-interval and the The comprehensive irrigation optimization coefficient between the sub-vectors, Indicates the The hydropower conversion coefficient after the sub-vector correction; Each sub-vector traverses each sub-interval, and the comprehensive irrigation optimization coefficient of each sub-vector and the corresponding sub-interval is calculated respectively, and the sub-vector with the largest comprehensive irrigation optimization coefficient is selected as the reference vector of the sub-interval.

7. A management and control system for agricultural irrigation using electricity-to-water conversion method, characterized in that: The control system is used to execute the control method of agricultural irrigation using electricity-to-water measurement algorithm according to any one of claims 1 to 6, comprising: The experimental data acquisition module is used to drive the agricultural irrigation water pump to conduct pumping experiments under different operating parameter combinations, and record the power consumption and water pumping volume of the agricultural irrigation water pump under different operating parameter combinations within a set unit operating time length, and associate the water pump operating parameter combinations with the corresponding power consumption and water pumping volume to construct a set of subvectors; The irrigation demand analysis module is used to obtain the irrigation time and irrigation volume requirements of the irrigation task to be irrigated, and to draw a water pumping curve based on the irrigation time and irrigation volume requirements. The irrigation time is divided into an integer number of subintervals with a unit length of operation time, and the water pumping curve within each subinterval is obtained. The multivariate regression correction module builds a multivariate regression model for correcting the pumping capacity based on the operating parameters of the water pump. The regression coefficient is determined by the least squares method, and the error between the predicted value and the actual value is minimized to obtain the corrected pumping capacity. The water-to-electricity conversion coefficient of the corrected sub-vector is calculated based on the corrected pumping capacity and the power consumption of the corresponding sub-vector. The optimization coefficient analysis module is used to traverse all sub-vectors based on the pumping curve within each sub-interval, analyze the irrigation volume difference between each sub-vector, and comprehensively analyze the pumping curve within each sub-interval, the irrigation volume difference between each sub-vector, and the water-to-electricity conversion coefficient to obtain the corresponding comprehensive irrigation optimization coefficient. The sub-vector with the largest comprehensive irrigation optimization coefficient is selected as the reference vector for the sub-interval. The operating parameter execution module is used to sort the reference vectors corresponding to all sub-intervals according to their water pumping capacity. Within the time range of the corresponding sub-interval, the water pump works according to the operating parameter combination of the corresponding reference vector.

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