A water-saving regulation system for wheat planting irrigation
By designing a water-saving control system for wheat planting and irrigation, and real-time supervision of soil moisture content and irrigation device operation, the problems of poor irrigation results and waste of water resources in the existing technology have been solved, and irrigation efficiency and optimization have been achieved.
Patent Information
- Application Number
- CN202410859916.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-06-28
- Publication Date
- 2025-05-13
- Estimated Expiration
- 2044-06-28
AI Technical Summary
It is difficult for existing wheat planting irrigation devices to monitor the soil moisture content and the operation process of the irrigation device in real time before the irrigation is over, resulting in poor irrigation results and waste of water resources, and it is difficult to conduct subsequent re-irrigation analysis.
A water-saving control system for wheat planting and irrigation was designed, including pre-irrigation supervision module, management and control platform, data collection module, equipment supervision module, verification module, early warning display module, post-irrigation supervision module and optimization module. By collecting and analyzing soil data and irrigation device operation data in real time, we can judge whether irrigation is needed, and re-irrigation optimization is carried out after irrigation.
Real-time supervision and optimization of irrigation in wheat planting areas is achieved, and the waste of water resources caused by abnormal irrigation devices is avoided and the poor irrigation effect is not good, ensuring the normal growth of wheat.
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Figure CN118452051B_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of wheat planting, in particular to a wheat planting irrigation water-saving regulation system. Background Art
[0002] Wheat planting refers to the process of sowing wheat seeds in suitable soil, allowing wheat to grow and develop through a series of management measures, and finally harvesting wheat crops. This process includes tillage, sowing, fertilization, irrigation, weeding, and pest and disease control, aiming to ensure that wheat can grow healthily and improve yield and quality;
[0003] However, in the prior art, it is difficult to monitor and analyze the soil moisture content and the operation process of the irrigation device in real time before the wheat irrigation is completed, so as to avoid abnormalities in the irrigation device and affect the irrigation effect of the wheat planting area and cause waste of water resources. It is also difficult to analyze the moisture content in the soil again after the wheat irrigation is completed, and to supplement the soil that has not been irrigated to the standard, so as to ensure the normal growth of wheat.
[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention
[0005] The purpose of the present invention is to provide a wheat planting irrigation water-saving regulation system to solve the technical defects proposed by the background technology.
[0006] To achieve the above-mentioned object, the present invention provides the following technical solutions: a wheat planting irrigation water-saving control system, comprising a pre-irrigation supervision module, a control platform, a data acquisition module, an equipment supervision module, a verification module, an early warning display module, a post-irrigation supervision module and an optimization module;
[0007] The pre-irrigation supervision module is used to collect the pre-soil data of the wheat planting area before the wheat irrigation is completed and to perform pre-irrigation analysis on the pre-soil data, and to send the obtained irrigation instructions to the management and control platform;
[0008] When the control platform receives the irrigation instruction, it immediately sends the irrigation instruction to the data acquisition module. After receiving the irrigation instruction, the data acquisition module immediately collects the equipment operation data of the wheat planting area. The equipment operation data includes the impact value of the water supply network, the impact value of the filter, the impact value of the sprinkler and the impact value of the water pump, and sends the equipment operation data to the equipment supervision module;
[0009] After receiving the equipment operation data, the equipment monitoring module immediately analyzes the equipment operation data and sends the obtained feedback signal to the verification module. After receiving the feedback signal, the verification module immediately verifies and analyzes the verification data and sends the obtained qualified signal and unqualified signal to the post-irrigation monitoring module and the early warning display module respectively;
[0010] The post-irrigation supervision module is used to collect post-soil data of the wheat planting area after wheat irrigation and to perform post-irrigation analysis on the post-soil data, and to send the obtained optimization signal to the optimization module through the management and control platform; after receiving the optimization signal, the optimization module immediately performs supplementary irrigation analysis on the optimization data of the wheat planting area after irrigation, and sends the obtained optimized water value to the early warning display module.
[0011] Furthermore, the pre-watering analysis process of the pre-watering supervision module is as follows:
[0012] Step 1: Collect the area of the wheat planting area and mark it as the wheat planting supervision area. Set up t monitoring stations in the wheat planting supervision area, where t is a natural number greater than zero. Obtain the duration from the start of the detection station to the end of irrigation, and mark it as the pre-time threshold. Divide the pre-time threshold into i sub-time nodes, where i is a natural number greater than zero. Obtain the soil moisture content value collected by the detection station in each sub-time node, and then obtain the average soil moisture content HK within the pre-time threshold. Construct a set of soil moisture content average HK {HK1, HK2, HK3, HK4, ..., HKt}, obtain the mean of the set of soil moisture content average HK, and mark it as the soil moisture reference value YHK;
[0013] Step 2: Compare and analyze the soil moisture reference value YHK with the preset soil moisture reference value entered internally:
[0014] If the soil moisture reference value YHK is greater than or equal to the preset soil moisture reference value, no instruction is generated; if the soil moisture reference value YHK is less than the preset soil moisture reference value, a watering instruction is generated.
[0015] Furthermore, the operation status analysis process of the equipment supervision module is as follows:
[0016] P1: Obtain the water supply network impact value, filter impact value, sprinkler impact value and water pump impact value of the watering irrigation device within the previous time threshold. The water supply network impact value is expressed as the product of the water supply network leakage risk value and the water supply network shielding risk value after data normalization. The filter impact value is expressed as the product of the area of the filter mesh blocked and the service life of the filter after data normalization. The sprinkler impact value is expressed as the sprinkler risk coefficient. The water pump impact value is expressed as the abnormal sound floating value. The abnormal sound floating value is expressed as the number of times the motor abnormal sound value is greater than the preset motor abnormal sound value stored and recorded in the internal storage within the time threshold.
[0017] P2: Obtain the operation risk coefficient according to the formula, and compare and analyze the operation risk coefficient with the preset operation risk coefficient stored and entered:
[0018] When the operation risk factor is greater than the preset operation risk factor, a feedback signal is generated;
[0019] When the operation risk factor is less than or equal to the preset operation risk factor, no signal is generated.
[0020] Furthermore, when the equipment supervision module collects the water pipe network leakage risk value and the water pipe network shielding risk value, the water pipe network in the watering and irrigation device is equally spaced into r detection lengths, and the detection length is marked as H, where r is a natural number greater than zero, and the shielded thickness of the water pipe network within the detection length H is obtained, and the part of the shielded thickness of the water pipe network that exceeds the preset shielded thickness of the water pipe network is marked as the water pipe network shielding value JK, and then a set of water pipe network accumulation values JK {JK1, JK2, JK3, ..., JKr} is constructed, and the difference between the maximum element and the minimum element in the set is marked as the water pipe network shielding risk value;
[0021] The damaged area SW of the outer wall of the water supply pipe network within the detection length H is obtained, thereby obtaining the total value of the damaged area of the outer wall of the water supply pipe network, and marking it as the leakage risk value of the water supply pipe network.
[0022] Furthermore, when collecting the nozzle risk coefficient, the equipment supervision module marks the n nozzles y in the watering and irrigation device as y1, y2, y3, ..., yn, and obtains the blockage area values of the output ends of y1, y2, y3, ..., yn, establishes a rectangular coordinate system with the number of nozzles as the X-axis and the blockage area value as the Y-axis, draws the nozzle blockage curve in the form of plotting points, and draws a preset nozzle blockage straight line in the rectangular coordinate system, and marks the sum of the lengths of the line segments above the preset nozzle blockage straight line as the nozzle risk coefficient.
[0023] Furthermore, the verification and analysis process of the verification module is as follows:
[0024] T1: Obtain the floating value of the water pump inlet and outlet in the watering irrigation device at each sub-time node. The floating value of the water pump inlet and outlet is expressed as the difference in water volume delivered by the water pump input and the water pump output in the sub-time period, and it is marked as the water pump delivery water volume difference UT. The part of the water pump delivery water volume difference UT that exceeds the preset water pump delivery water volume difference UT stored and recorded is marked as the water pump floating value, and then the water pump floating mean value within the previous time threshold is obtained and marked as the water pump floating risk value;
[0025] T2: Divide the water pipe network in the watering and irrigation device into x water pipes q, marked as q1, q2, q3, ..., qx, and obtain the difference in water volume transported between the input and output ends of q1, q2, q3, ..., qx within the previous time threshold, and then obtain the average difference in water volume transported between the input and output ends of the water pipe network within the previous time threshold, and mark it as the floating risk value of the water pipe network;
[0026] T3: Compare and analyze the water pump floating risk value and the water pipe network floating risk value with the preset water pump floating risk value and the preset water pipe network floating risk value stored and entered internally:
[0027] If the water pump floating risk value is greater than or equal to the preset water pump floating risk value, or the water pipe network floating risk value is greater than or equal to the preset water pipe network floating risk value, a failure signal is generated;
[0028] If the water pump floating risk value is less than the preset water pump floating risk value, and the water supply network floating risk value is less than the preset water supply network floating risk value, a qualified signal is generated.
[0029] Furthermore, the post-irrigation analysis process of the post-irrigation supervision module is as follows:
[0030] Step 1: Obtain the duration of the detection station running for a period of time after the end of watering, and mark it as the post-time threshold, divide the post-time threshold into u sub-time nodes, u is a natural number greater than zero, obtain the soil moisture content value after watering collected by the detection station in each sub-time node, and then obtain the average value QH of the soil moisture content after watering within the post-time threshold, so as to construct a set of the average value QH of the soil moisture content after watering {QH1, QH2, QH3, QH4, ..., QHt}, obtain the mean of the set of the average value QH of the soil moisture content after watering, and mark it as the reference value QHK of the soil moisture content after watering;
[0031] Step 2: Compare and analyze the reference value QHK of soil moisture content after irrigation with the preset reference value of soil moisture content entered internally: if the reference value QHK of soil moisture content after irrigation is greater than or equal to the preset reference value of soil moisture content, no signal is generated; if the reference value QHK of soil moisture content after irrigation is less than the preset reference value of soil moisture content, an optimization signal is generated.
[0032] Furthermore, the supplementary irrigation analysis process of the optimization module is as follows: obtaining a soil water content reference value QHK after irrigation within a post-time threshold, and marking the portion thereof that is less than a preset soil water content reference value as a soil optimized water content value.
[0033] Compared with the prior art, the present invention has the following beneficial effects:
[0034] In the present invention, wheat planting irrigation is analyzed from two perspectives, before and after wheat irrigation is completed. Before wheat irrigation is completed, the moisture content in the soil is analyzed in real time to determine whether the wheat planting area needs to be irrigated, and the operation process of the irrigation device is supervised in real time to avoid abnormalities in the irrigation device and affect the irrigation effect of the wheat planting area. In the process of supervising it, it can be simultaneously discovered whether the irrigation device has leakage and issue an early warning. After wheat irrigation, the moisture content in the soil is analyzed again. When the soil irrigation does not meet the standard, the optimized water value that needs to be supplemented is displayed through the early warning display module, and then the irrigation device is regulated by the management and control platform to supplement the wheat planting area to ensure the normal growth of wheat.
[0035] In the present invention, the irrigation device is supervised in real time to avoid abnormality of the irrigation device and thus affect the irrigation effect of the wheat planting area, and the obtained unqualified signal is sent to the early warning display module. After receiving the unqualified signal, the early warning display module immediately displays the preset early warning text corresponding to the unqualified signal, so as to manage the irrigation device in time, and at the same time, the verification module collects other relevant data in the irrigation device again to ensure the validity and accuracy of the data;
[0036] In the present invention, when the irrigation device operates qualifiedly and the irrigation is completed, the post-irrigation supervision module performs a post-irrigation analysis on the post-irrigation situation of the wheat planting area to confirm the wheat irrigation situation again. When the early warning display module receives the optimized water value, the specific value of the optimized water value is immediately edited on the display, and the irrigation device is regulated to work again through the management and control platform, and the wheat planting area is supplemented with irrigation based on the displayed optimized water value, thereby further ensuring the normal growth of wheat. BRIEF DESCRIPTION OF THE DRAWINGS
[0037] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;
[0038] Figure 1 It is a schematic diagram of the overall system framework of the present invention;
[0039] Figure 2 This is a schematic diagram of the system framework of Embodiment 2;
[0040] Figure 3 This is a schematic diagram of the system framework of Example 3. DETAILED DESCRIPTION
[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0042] Embodiment 1: Figure 1-3 As shown, a wheat planting irrigation water-saving control system proposed in this embodiment includes a pre-irrigation supervision module, a control platform, a data acquisition module, an equipment supervision module, a verification module, an early warning display module, a post-irrigation supervision module and an optimization module; the pre-irrigation supervision module is connected to the control platform in a one-way communication, the control platform is connected to the post-irrigation supervision module and the optimization module in a two-way communication, the control platform is connected to the data acquisition module in a one-way communication, the data acquisition module is connected to the equipment supervision module in a one-way communication, the equipment supervision module is connected to the verification module in a one-way communication, the verification module is connected to the control platform and the early warning display module in a one-way communication, and the optimization module is connected to the early warning display module in a two-way communication;
[0043] The pre-irrigation supervision module is used to collect the pre-soil data of the wheat planting area before the end of wheat irrigation and to analyze the pre-soil data before irrigation. By analyzing the water content in the soil before the end of soil irrigation in the wheat planting area, it is determined whether to control the irrigation device to irrigate the soil through the management and control platform. The specific pre-irrigation analysis process is as follows;
[0044] Step 1: Collect the area of the wheat planting area and mark it as the wheat planting supervision area. Set up t monitoring stations in the wheat planting supervision area, where t is a natural number greater than zero. Obtain the duration from the start of the detection station to the end of irrigation, and mark it as the pre-time threshold. Divide the pre-time threshold into i sub-time nodes, where i is a natural number greater than zero. Obtain the soil moisture content value collected by the detection station in each sub-time node, and then obtain the average soil moisture content HK within the pre-time threshold. Construct a set of soil moisture content average HK {HK1, HK2, HK3, HK4, ..., HKt}, obtain the mean of the set of soil moisture content average HK, and mark it as the soil moisture content reference value YHK. It should be noted that the larger the soil moisture content reference value YHK is, the higher the moisture content in the soil is.
[0045] Step 2: Compare and analyze the soil moisture reference value YHK with the preset soil moisture reference value entered internally:
[0046] If the soil moisture reference value YHK is greater than or equal to the preset soil moisture reference value, no instruction is generated; if the soil moisture reference value YHK is less than the preset soil moisture reference value, a watering instruction is generated and the obtained watering instruction is sent to the management and control platform.
[0047] Embodiment 2: Figure 1-2 As shown, when the control platform receives the irrigation instruction, it immediately sends the irrigation instruction to the data acquisition module. After receiving the irrigation instruction, the data acquisition module immediately collects the equipment operation data of the wheat planting area. The equipment operation data includes the influence value of the water supply network, the influence value of the filter, the influence value of the sprinkler head and the influence value of the water pump, and sends the equipment operation data to the equipment supervision module;
[0048] After receiving the equipment operation data, the equipment monitoring module immediately analyzes the equipment operation data, so as to monitor the operation process of the equipment in the irrigation device in real time, so as to avoid abnormalities in the irrigation device and thus affect the irrigation effect of the wheat planting area. The specific operation analysis process is as follows:
[0049] P1: Obtain the water supply network impact value, filter impact value, sprinkler impact value and water pump impact value of the watering irrigation device within the previous time threshold. The water supply network impact value is represented by the product of the water supply network leakage risk value and the water supply network shielding risk value after data normalization. The filter impact value is represented by the product of the area of the filter mesh blocked and the filter service life after data normalization. The sprinkler impact value is represented by the sprinkler risk coefficient. The water pump impact value is represented by the abnormal sound floating value. The abnormal sound floating value is represented by the number of times the motor abnormal sound value is greater than the preset motor abnormal sound value stored in its internal storage within the time threshold; the water supply network impact value, the filter impact value, the sprinkler impact value and the water pump impact value are marked as EB, GB, PB and SB respectively; it should be noted that the larger the water supply network impact value, the filter impact value, the sprinkler impact value and the water pump impact value, the worse the irrigation effect of the irrigation device;
[0050] P2: The operation risk coefficient V is obtained according to the formula V=(EB*GB*PB*SB)c / (e1+e2+e3+e4), where e1, e2, e3 and e4 are the preset proportional factor coefficients of the water supply network impact value, filter network impact value, nozzle impact value and water pump impact value respectively. The proportional factor coefficient is used to correct the deviation of various parameters in the formula calculation process, so as to make the calculation result more accurate. e1, e2, e3 and e4 are all positive numbers greater than zero. c is the preset fault tolerance factor coefficient, which is 1.83. The operation risk coefficient is compared with the preset operation risk coefficient stored and entered for analysis:
[0051] When the operation risk factor is greater than the preset operation risk factor, a feedback signal is generated, and the obtained feedback signal is sent to the verification module;
[0052] When the operation risk factor is less than or equal to the preset operation risk factor, no signal is generated;
[0053] When the equipment supervision module collects the leakage risk value and the shielding risk value of the water pipe network, the water pipe network in the watering and irrigation device is equally spaced into r detection lengths, and the detection length is marked as H, where r is a natural number greater than zero, and the shielded thickness of the water pipe network within the detection length H is obtained, and the part of the shielded thickness of the water pipe network that exceeds the preset shielded thickness of the water pipe network is marked as the shielding value of the water pipe network JK, and then a set of water pipe network accumulation values JK {JK1, JK2, JK3, ..., JKr} is constructed, and the difference between the maximum element and the minimum element in the set is marked as the shielding risk value of the water pipe network; it should be noted that the larger the shielding risk value of the water pipe network, the greater the obstruction of the irrigation process of the water pipe network;
[0054] The damaged area SW of the outer wall of the water pipe network within the detection length H is obtained, and the total value of the damaged area of the outer wall of the water pipe network is obtained, and it is marked as the leakage risk value of the water pipe network; it should be noted that the larger the leakage risk value of the water pipe network, the more leaks there are on the surface wall of the water pipe network, thus affecting the irrigation effect of wheat;
[0055] When the equipment supervision module collects the risk coefficient of the sprinkler, it marks the n sprinklers y in the watering and irrigation device as y1, y2, y3, ..., yn, and obtains the blockage area values of the output ends of y1, y2, y3, ..., yn. A rectangular coordinate system is established with the number of sprinklers as the X-axis and the blockage area value as the Y-axis. The sprinkler blockage curve is drawn in the form of plotting points. At the same time, a preset sprinkler blockage straight line is drawn in the rectangular coordinate system, and the sum of the lengths of the line segments above the preset sprinkler blockage straight line is marked as the sprinkler risk coefficient. It should be noted that the larger the sprinkler risk coefficient, the more blocked area the sprinkler has, thus affecting the irrigation effect of wheat.
[0056] After receiving the feedback signal, the verification module immediately verifies and analyzes the verification data. The specific verification and analysis process is as follows:
[0057] T1: Obtain the floating value of the water pump inlet and outlet in the watering irrigation device in each sub-time node. The floating value of the water pump inlet and outlet is expressed as the difference in water volume delivered by the water pump input end and the water pump output end in the sub-time period, and it is marked as the water pump delivery water volume difference UT. The part of the water pump delivery water volume difference UT that exceeds the preset water pump delivery water volume difference UT stored and recorded is marked as the water pump floating value, and then the water pump floating mean value within the previous time threshold is obtained, and it is marked as the water pump floating risk value; it should be noted here that the larger the water pump floating risk value, the worse the water pump delivery effect;
[0058] T2: Divide the water pipe network in the watering and irrigation device into x water pipes q, marked as q1, q2, q3, ..., qx, and obtain the difference in water volume transported between the input and output ends of q1, q2, q3, ..., qx within the previous time threshold, and then obtain the average difference in water volume transported between the input and output ends of the water pipe network within the previous time threshold, and mark it as the floating risk value of the water pipe network; it should be noted that the larger the floating risk value of the water pipe network, the worse the water pipe network's transportation effect;
[0059] T3: Compare and analyze the water pump floating risk value and the water pipe network floating risk value with the preset water pump floating risk value and the preset water pipe network floating risk value stored and entered internally:
[0060] If the water pump floating risk value is greater than or equal to the preset water pump floating risk value, or the water supply network floating risk value is greater than or equal to the preset water supply network floating risk value, an unqualified signal is generated and the obtained unqualified signal is sent to the early warning display module. After receiving the unqualified signal, the early warning display module immediately displays the preset early warning text corresponding to the unqualified signal, so as to manage the irrigation device in time. At the same time, other relevant data in the irrigation device are collected again through the verification module to ensure the validity and accuracy of the data, avoid abnormalities in the irrigation device, and thus affect the irrigation of the wheat planting area.
[0061] If the water pump floating risk value is less than the preset water pump floating risk value, and the water supply network floating risk value is less than the preset water supply network floating risk value, a qualified signal is generated and the obtained qualified signal is sent to the post-irrigation supervision module.
[0062] Embodiment 3: Figure 1 , 3 As shown, the post-irrigation supervision module is used to collect the post-soil data of the wheat planting area after wheat irrigation and perform post-irrigation analysis on the post-soil data. When the irrigation device is operating properly and the irrigation is completed, the post-irrigation analysis of the wheat planting area is performed to confirm whether the wheat irrigation meets the standard, thereby ensuring the normal growth of wheat. The specific post-irrigation analysis process is as follows:
[0063] Step 1: Obtain the duration of the detection station running for a period of time after the end of irrigation, and mark it as the post-time threshold, the post-time threshold is 30 minutes, divide the post-time threshold into u sub-time nodes, u is a natural number greater than zero, obtain the soil moisture content value after irrigation collected by the detection station in each sub-time node, and then obtain the average value QH of the soil moisture content after irrigation within the post-time threshold, so as to construct a set of the average value QH of the soil moisture content after irrigation {QH1, QH2, QH3, QH4, ..., QHt}, obtain the mean of the set of the average value QH of the soil moisture content after irrigation, and mark it as the reference value QHK of the soil moisture content after irrigation; it should be noted that the reference value QHK of the soil moisture content after irrigation is an important parameter for judging the irrigation situation of wheat;
[0064] Step 2: Compare and analyze the reference value of soil moisture after irrigation QHK with the preset reference value of soil moisture entered internally:
[0065] If the soil moisture content reference value QHK after irrigation is greater than or equal to the preset soil moisture content reference value, no signal is generated; if the soil moisture content reference value QHK after irrigation is less than the preset soil moisture content reference value, an optimization signal is generated, and the obtained optimization signal is sent to the optimization module through the management and control platform;
[0066] After receiving the optimization signal, the optimization module immediately performs supplementary irrigation analysis on the optimization data of the wheat planting area after irrigation. The specific supplementary irrigation analysis process is as follows:
[0067] The soil water reference value QHK after irrigation within the post-time threshold is obtained, and the part less than the preset soil moisture reference value is marked as the soil optimized water value, and the obtained optimized water value is sent to the early warning display module. It should be noted that after the early warning display module receives the optimized water value, the specific value of the optimized water value is immediately edited on the display, and the irrigation device is controlled to work again through the management and control platform, and the wheat planting area is supplemented with water according to the displayed optimized water value, so as to further ensure the normal growth of wheat.
[0068] To sum up: the present invention analyzes wheat planting irrigation from two perspectives: before and after the end of wheat irrigation. Before the end of wheat irrigation, the moisture content in the soil is analyzed in real time to determine whether the wheat planting area needs to be irrigated, and the operation process of the irrigation device is supervised in real time to avoid abnormalities in the irrigation device and affect the irrigation effect of the wheat planting area. In the process of supervision, it can be simultaneously discovered whether the irrigation device has leakage and issue an early warning. After wheat irrigation, the moisture content in the soil is analyzed again. When the soil irrigation does not meet the standard, the optimized water value that needs to be supplemented is displayed through the early warning display module, and then the irrigation device is regulated by the management and control platform to supplement the irrigation of the wheat planting area to ensure the normal growth of wheat.
[0069] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.
Claims
1. A wheat planting irrigation water-saving regulation system, characterized in that: It includes pre-irrigation supervision module, management and control platform, data acquisition module, equipment supervision module, verification module, early warning display module, post-irrigation supervision module and optimization module; The pre-irrigation supervision module is used to collect the pre-soil data of the wheat planting area before the wheat irrigation is completed and to perform pre-irrigation analysis on the pre-soil data, and send the obtained irrigation instruction to the management and control platform; when the management and control platform receives the irrigation instruction, it immediately sends the irrigation instruction to the data acquisition module. After receiving the irrigation instruction, the data acquisition module immediately collects the equipment operation data of the wheat planting area, the equipment operation data includes the water supply network impact value, the filter network impact value, the nozzle impact value and the water pump impact value, and sends the equipment operation data to the equipment supervision module; After receiving the equipment operation data, the equipment monitoring module immediately analyzes the equipment operation data and sends the obtained feedback signal to the verification module. After receiving the feedback signal, the verification module immediately verifies and analyzes the verification data and sends the obtained qualified signal and unqualified signal to the post-irrigation monitoring module and the early warning display module respectively; The pre-watering analysis process of the pre-watering supervision module is as follows: Step 1: Collect the area of the wheat planting area and mark it as the wheat planting supervision area. Set up t monitoring stations in the wheat planting supervision area, where t is a natural number greater than zero. Obtain the duration from the start of the detection station to the end of irrigation, and mark it as the pre-time threshold. Divide the pre-time threshold into i sub-time nodes, where i is a natural number greater than zero. Obtain the soil moisture content value collected by the detection station in each sub-time node, and then obtain the average soil moisture content HK within the pre-time threshold. Construct a set of soil moisture content average HK, obtain the mean of the set of soil moisture content average HK, and mark it as the soil moisture reference value YHK; Step 2: Compare and analyze the soil moisture reference value YHK with the preset soil moisture reference value entered internally: if the soil moisture reference value YHK is greater than or equal to the preset soil moisture reference value, no instruction is generated; if the soil moisture reference value YHK is less than the preset soil moisture reference value, an irrigation instruction is generated; The verification and analysis process of the verification module is as follows: T1: Obtain the floating value of the water pump inlet and outlet in the watering irrigation device at each sub-time node. The floating value of the water pump inlet and outlet is expressed as the difference in water volume delivered by the water pump input and the water pump output in the sub-time period, and it is marked as the water pump delivery water volume difference UT. The part of the water pump delivery water volume difference UT that exceeds the preset water pump delivery water volume difference UT stored and recorded is marked as the water pump floating value, and then the water pump floating mean value within the previous time threshold is obtained and marked as the water pump floating risk value; T2: Divide the water pipe network in the watering and irrigation device into x water pipes q, marked as q1, q2, q3, ..., qx, and obtain the difference in water volume transported between the input and output ends of q1, q2, q3, ..., qx within the previous time threshold, and then obtain the average difference in water volume transported between the input and output ends of the water pipe network within the previous time threshold, and mark it as the floating risk value of the water pipe network; T3: Compare and analyze the water pump floating risk value and the water pipe network floating risk value with the preset water pump floating risk value and the preset water pipe network floating risk value stored and entered internally: if the water pump floating risk value is greater than or equal to the preset water pump floating risk value, or the water pipe network floating risk value is greater than or equal to the preset water pipe network floating risk value, a failure signal is generated; If the water pump floating risk value is less than the preset water pump floating risk value, and the water supply network floating risk value is less than the preset water supply network floating risk value, a qualified signal is generated.
2. A wheat planting irrigation water-saving control system according to claim 1, characterized in that: The post-irrigation supervision module is used to collect post-soil data of the wheat planting area after wheat irrigation and to perform post-irrigation analysis on the post-soil data, and to send the obtained optimization signal to the optimization module through the management and control platform; After receiving the optimization signal, the optimization module immediately performs supplementary irrigation analysis on the optimization data of the wheat planting area after irrigation, and sends the obtained optimized water volume value to the early warning display module.
3. A wheat planting irrigation water-saving control system according to claim 1, characterized in that: The operation analysis process of the equipment supervision module is as follows: P1: Obtain the water supply network impact value, filter impact value, sprinkler impact value and water pump impact value of the watering irrigation device within the previous time threshold. The water supply network impact value is expressed as the product of the water supply network leakage risk value and the water supply network shielding risk value after data normalization. The filter impact value is expressed as the product of the area of the filter mesh blocked and the filter service life after data normalization. The sprinkler impact value is expressed as the sprinkler risk coefficient. The water pump impact value is expressed as the abnormal sound floating value. The abnormal sound floating value is expressed as the number of times the motor abnormal sound value is greater than the preset motor abnormal sound value stored in its internal storage within the time threshold; the water supply network impact value, filter impact value, sprinkler impact value and water pump impact value are marked as EB, GB, PB and SB respectively; P2: The operation risk coefficient V is obtained according to the formula V=(EB*GB*PB*SB)c / (e1+e2+e3+e4), where e1, e2, e3 and e4 are the preset proportional factor coefficients of the water supply network impact value, the filter network impact value, the nozzle impact value and the water pump impact value respectively. The proportional factor coefficient is used to correct the deviation of various parameters in the formula calculation process, so as to make the calculation result more accurate. e1, e2, e3 and e4 are all positive numbers greater than zero. c is the preset fault tolerance factor coefficient, which is 1.
83. The operation risk coefficient is compared and analyzed with the preset operation risk coefficient stored and entered: when the operation risk coefficient is greater than the preset operation risk coefficient, a feedback signal is generated; when the operation risk coefficient is less than or equal to the preset operation risk coefficient, no signal is generated.
4. A wheat planting irrigation water-saving control system according to claim 3, characterized in that: When the equipment supervision module collects the water pipe network leakage risk value and the water pipe network shielding risk value, the water pipe network in the watering and irrigation device is equally spaced into r monitoring lengths, and the monitoring length is marked as H, where r is a natural number greater than zero, and the shielded thickness in the water pipe network within the detection length H is obtained, and the part of the shielded thickness of the water pipe network that exceeds the preset shielded thickness of the water pipe network is marked as the water pipe network shielding value JK, and then a set of water pipe network shielding values JK {JK1, JK2, JK3, ..., JKr} is constructed, and the difference between the maximum element and the minimum element in the set is marked as the water pipe network shielding risk value; The damaged area SW of the outer wall of the water supply pipe network within the detection length H is obtained, thereby obtaining the total value of the damaged area of the outer wall of the water supply pipe network, and marking it as the leakage risk value of the water supply pipe network.
5. A wheat planting irrigation water-saving control system according to claim 3, characterized in that: When collecting the nozzle risk coefficient, the equipment supervision module marks the n nozzles y in the watering and irrigation device as y1, y2, y3, ..., yn, and obtains the blockage area values of the output ends of y1, y2, y3, ..., yn, establishes a rectangular coordinate system with the number of nozzles as the X-axis and the blockage area value as the Y-axis, draws the nozzle blockage curve in the form of plotting points, and draws a preset nozzle blockage straight line in the rectangular coordinate system, and marks the sum of the lengths of the line segments above the preset nozzle blockage straight line as the nozzle risk coefficient.
6. A wheat planting irrigation water-saving control system according to claim 2, characterized in that: The post-watering analysis process of the post-watering supervision module is as follows: Step 1: Obtain the duration of the detection station running for a period of time after the end of watering, and mark it as the post-time threshold, divide the post-time threshold into u sub-time nodes, u is a natural number greater than zero, obtain the soil moisture content value after watering collected by the detection station in each sub-time node, and then obtain the average value QH of the soil moisture content after watering within the post-time threshold, thereby constructing a set of the average values QH of the soil moisture content after watering, obtain the mean of the set of the average values QH of the soil moisture content after watering, and mark it as the reference value QHK of the soil moisture content after watering; Step 2: Compare and analyze the reference value QHK of soil moisture content after irrigation with the preset reference value of soil moisture content entered internally: if the reference value QHK of soil moisture content after irrigation is greater than or equal to the preset reference value of soil moisture content, no signal is generated; if the reference value QHK of soil moisture content after irrigation is less than the preset reference value of soil moisture content, an optimization signal is generated.
7. A wheat planting irrigation water-saving control system according to claim 6, characterized in that: The supplementary irrigation analysis process of the optimization module is as follows: obtaining a soil water content reference value QHK after irrigation within a post-time threshold, and marking the portion thereof less than a preset soil water content reference value as a soil optimized water content value.
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