Greenhouse energy-saving water consumption monitoring system

Abstract

The invention relates to the technical field of agriculture, in particular to a greenhouse energy-saving water consumption monitoring system which is used for solving the problems that in the prior art, historical data and real-time data cannot be combined to accurately predict irrigation water consumption, scientificity and rationality of an irrigation strategy cannot be guaranteed, and the irrigation cost is low. And different environmental conditions and crop growth stages cannot be dynamically adapted. Historical data and real-time data are combined through the irrigation water consumption adjusting module, the irrigation water consumption is accurately predicted through a machine learning model, automatic adjustment is achieved to improve efficiency, multiple factors are comprehensively considered, scientificity and reasonability of an irrigation strategy are guaranteed, different environment conditions and crop growth stages are dynamically adapted, water resource utilization is optimized, and the irrigation efficiency is improved. Cost is reduced, personal errors are reduced through automatic operation, and various crops and complex growth environments are supported.

Description

Technical Field

[0001] The present invention relates to the field of agricultural technology, and more specifically to a greenhouse energy-saving water use monitoring system. Background Art

[0002] With the continuous development of agricultural production and the increasing shortage of water resources, water-saving irrigation technology in greenhouse cultivation is particularly important. Traditional irrigation methods not only waste water resources, but also make it difficult to ensure the best environment for crop growth.

[0003] The patent application with reference publication number CN114488987A discloses an industrial Internet smart water use monitoring system, including an intelligent water use control system, wherein the output end electrical signal of the intelligent water use control system is connected to a pipe network management unit, an intelligent inspection system unit, a production scheduling unit and a 3D visualization view unit. By setting the 3D visualization view unit, the operation status, various parameters and the surrounding complex environment of the on-site production system and on-site equipment can be displayed in real time, providing an immersive 3D experience for operators during remote control, allowing operators to virtually appear in each monitoring location, and conveniently utilizing industrial local software and hardware resources for remote object control, thereby maintaining the normal operation of the equipment and reducing the number of on-duty staff. At the same time, through 3D visualization, it is convenient for operators to quickly control the water use in the display area, thereby reducing labor costs and avoiding the waste of water resources.

[0004] However, the above-mentioned reference patent realizes comprehensive monitoring and efficient management of water use in industrial sites through 3D visualization views, intelligent inspections and pipe network management units, significantly reduces labor costs and water resource waste, and improves operation and management efficiency. However, it cannot accurately monitor the water use in the greenhouse, cannot achieve refined water use management, reduces water resource utilization efficiency, cannot accurately monitor and evaluate irrigation water parameters, cannot ensure irrigation water safety, cannot promote healthy crop growth, and cannot combine historical and real-time data to accurately predict irrigation water consumption, cannot ensure the scientificity and rationality of irrigation strategies, and cannot dynamically adapt to different environmental conditions and crop growth stages.

[0005] To this end, we propose a greenhouse energy-saving water use monitoring system to address the above issues. Summary of the invention

[0006] The purpose of the present invention is to provide a greenhouse energy-saving water use monitoring system, which solves the problems that the prior art cannot accurately monitor the water use in the greenhouse, cannot realize refined water use management, reduces the efficiency of water resource utilization, cannot accurately monitor and evaluate irrigation water parameters, cannot ensure the safety of irrigation water, cannot promote the healthy growth of crops, and cannot combine historical and real-time data to accurately predict the amount of irrigation water, cannot ensure the scientificity and rationality of irrigation strategies, and cannot dynamically adapt to different environmental conditions and crop growth stages.

[0007] The purpose of the present invention is achieved through the following technical solutions:

[0008] A greenhouse energy-saving water use monitoring system, including a water use control platform, a water consumption monitoring module, a water quality management module, a water resource scheduling module, an irrigation water consumption adjustment module and an operation monitoring module;

[0009] The water consumption monitoring module is used to monitor the water consumption parameters in the greenhouse in real time, divide the greenhouse into different areas according to the crop type, and monitor and evaluate the water consumption of each area;

[0010] The water quality management module is used to monitor the water quality parameters of irrigation water in real time. When abnormal water quality is detected, an alarm is triggered immediately and corresponding treatment measures are taken;

[0011] The water resource scheduling module is used to formulate strategies and automatically adjust water resource allocation based on water consumption monitoring results and water quality monitoring results;

[0012] The irrigation water consumption adjustment module is used to collect historical irrigation data, build an irrigation water consumption prediction model, calculate the irrigation water consumption prediction value according to the model, and adjust the current irrigation water consumption according to the calculation result;

[0013] The operation monitoring module is used to monitor the equipment operation parameters in real time. When an abnormal situation is detected, corresponding measures are taken immediately to deal with it.

[0014] As a preferred embodiment of the present invention, the specific process of the water consumption monitoring module monitoring and evaluating the water consumption of greenhouses in different areas is as follows:

[0015] Obtain water use parameters in the greenhouse, including irrigation water use, facility maintenance and cleaning water use, and humidification and cooling water use, generate a monitoring cycle, and divide the monitoring cycle into multiple monitoring periods {jc1, jc2, …, jcm};

[0016] Divide the greenhouse into different areas {rg1, rg2, …, rgn} according to crop types;

[0017] The irrigation water consumption of each area in multiple monitoring periods is obtained, and the arithmetic mean of the multiple irrigation water consumptions is calculated, and the arithmetic mean of the multiple irrigation water consumptions is recorded as the average irrigation water consumption PGY;

[0018] Obtain the facility maintenance and cleaning water consumption of each area in multiple monitoring periods, and calculate the arithmetic average of the multiple facility maintenance and cleaning water consumptions obtained, and record the arithmetic average of the multiple facility maintenance and cleaning water consumptions as the average facility maintenance and cleaning water consumption PSQ;

[0019] The humidification and cooling water consumption of each area in multiple monitoring periods is obtained, and the arithmetic mean of the multiple humidification and cooling water consumptions is calculated, and the arithmetic mean of the multiple humidification and cooling water consumptions is recorded as the average humidification and cooling water consumption PJW.

[0020] As a preferred embodiment of the present invention, the average irrigation water consumption PGY, the average facility maintenance and cleaning water consumption PSQ, and the average humidification and cooling water consumption PJW are obtained, and the water consumption evaluation coefficient YPX of each area is calculated by the following formula:

[0021]

[0022] Among them, h1, h2 and h3 are all preset proportional factor coefficients, h3>h2>h1>0, the water consumption assessment coefficient YPX is compared with the preset first water consumption assessment coefficient threshold and the preset second water consumption assessment coefficient threshold, and the preset first water consumption assessment coefficient threshold is less than the preset second water consumption assessment coefficient threshold:

[0023] If the water consumption assessment coefficient YPX is less than the preset first water consumption assessment coefficient threshold, it indicates that the water consumption in the area is insufficient, and a water shortage signal is generated and sent to the water use control platform;

[0024] If the water consumption assessment coefficient YPX is greater than or equal to the preset first water consumption assessment coefficient threshold, and the water consumption assessment coefficient YPX is less than the preset second water consumption assessment coefficient threshold, it indicates that the water consumption in the area is appropriate, and an appropriate water consumption signal is generated and sent to the water use control platform;

[0025] If the water consumption assessment coefficient YPX is greater than or equal to the preset second water consumption assessment coefficient threshold, it indicates that the water consumption in the area exceeds the standard, and a water consumption excess signal is generated and sent to the water use control platform.

[0026] As a preferred embodiment of the present invention, the specific process of the water quality management module monitoring the water quality parameters of irrigation water in real time and immediately triggering an alarm when abnormal water quality is detected is as follows:

[0027] Obtain water quality parameters for irrigation water, including pH value, dissolved oxygen and conductivity;

[0028] Obtaining the pH change rate of irrigation water in multiple monitoring periods, the pH change rate indicates the speed at which the pH value in the irrigation water changes over time, calculating the difference between the pH change rate and the median of a preset suitable pH change rate range, and taking the absolute value to obtain the pH change rate difference, marking the pH change rate difference as PHC;

[0029] Obtain the dissolved oxygen change rate of irrigation water in multiple monitoring periods. The dissolved oxygen change rate indicates the speed at which the dissolved oxygen concentration in the water body changes over time. The dissolved oxygen change rate is compared with the median of the preset suitable dissolved oxygen change rate range, and the absolute value is taken to obtain the dissolved oxygen change rate difference, which is recorded as RYC.

[0030] The conductivity change rate of irrigation water in multiple monitoring periods is obtained. The conductivity change rate indicates the speed at which the conductivity in the water body changes over time. The conductivity change rate is compared with the median of the preset appropriate conductivity change rate range, and the difference is calculated and the absolute value is taken to obtain the conductivity change rate difference, which is recorded as DLC.

[0031] As a preferred embodiment of the present invention, the pH value change rate difference, dissolved oxygen change rate difference and conductivity change rate difference are obtained, and the water quality monitoring evaluation coefficient SJX is calculated by the following formula:

[0032] SJX=k1*PHC+k2*RYC+k3*DLC;

[0033] Where k1+k2+k3=1, k1, k2 and k3 are all weight coefficients, and the water quality monitoring assessment coefficient SJX is compared with the preset water quality monitoring assessment coefficient threshold:

[0034] If the water quality monitoring and assessment coefficient SJX is less than the preset water quality monitoring and assessment coefficient threshold, it indicates that the water quality of the irrigation water is good, and a good water quality signal is generated and sent to the water use control platform;

[0035] If the water quality monitoring and assessment coefficient SJX is greater than or equal to the preset water quality monitoring and assessment coefficient threshold, it indicates that the water quality of the irrigation water is poor, and a water quality abnormality signal is generated and sent to the water use control platform;

[0036] When the water use control platform receives an abnormal water quality signal, it immediately triggers an alarm to notify relevant personnel and take corresponding measures to deal with it.

[0037] As a preferred implementation of the present invention, the specific process of the water resource scheduling module automatically adjusting water resource allocation is as follows:

[0038] Obtain water consumption monitoring results and water quality monitoring results, comprehensively analyze water consumption monitoring results and water quality monitoring results, and formulate the following strategies to automatically adjust water resource allocation. The specific strategy contents are as follows:

[0039] If water availability is insufficient and water quality is good, priority will be given to ensuring water demand in key areas and allocating high-quality water to crops that require higher water quality;

[0040] If water demand is insufficient and water quality is poor, priority will be given to ensuring water demand in key areas, while areas with poor water quality will be treated before water is supplied;

[0041] If water use is appropriate and water quality is good, maintain the current allocation strategy to ensure that water needs in each region are met and that high-quality water is allocated to high-quality crops;

[0042] If water use is appropriate and water quality is poor, water treatment is applied to areas with poor water quality, or poor quality water is allocated to low-quality crops;

[0043] If water use exceeds the limit and water quality is good, water supply will be reduced to prioritize water needs in key areas and allocate high-quality water to high-quality crops;

[0044] If water consumption exceeds the standard and the water quality is poor, water supply will be reduced, priority will be given to ensuring water needs in key areas, and water quality treatment will be carried out in areas with poor water quality.

[0045] As a preferred embodiment of the present invention, the specific process of the irrigation water consumption adjustment module calculating the irrigation water consumption prediction value and adjusting the current irrigation water consumption according to the calculation result is as follows:

[0046] Obtain historical irrigation data, including irrigation water consumption, ambient temperature, rainfall, soil moisture, crop type, and crop growth stage, generate a collection cycle, divide the collection cycle into s consecutive sub-cycles, and mark the midpoint of each sub-cycle to obtain s midpoints;

[0047] Taking s midpoint moments as the base point, expand forward and backward by equal lengths, mark d-1 expansion moments, and then sum up the midpoint moments and d-1 expansion moments to obtain d detection moments;

[0048] The irrigation water consumption at d detection moments is measured by sensors to obtain d detection irrigation water consumptions, and the d detection irrigation water consumptions are accumulated and averaged to obtain s sub-irrigation water consumptions;

[0049] The expression of irrigation water consumption is:

[0050] Where GY zsis the irrigation water consumption of the sth sub-cycle, GY jcsn The nth detected irrigation water consumption in the sth sub-cycle;

[0051] Remove the maximum and minimum values ​​of the sub-irrigation water consumption, and add up the remaining s-2 sub-irrigation water consumption and calculate the average to obtain the mean irrigation water consumption;

[0052] The expression of the mean irrigation water consumption is:

[0053] In the formula, GY jy is the average irrigation water consumption, GY zp is the sub-irrigation water consumption in the pth sub-cycle.

[0054] As a preferred embodiment of the present invention, the method of calculating the mean value of irrigation water consumption can be used to obtain the mean value of ambient temperature HW jw , mean rainfall JY jy And the mean soil moisture TS js ;

[0055] Number different types of crops as {1, 2, …, m};

[0056] The crop growth stages are marked in sequence, the crop germination period is marked as sz0, the crop seedling period is marked as sz1, the crop vegetative growth period is marked as sz2, the crop reproductive growth period is marked as sz3, and the crop maturity period is marked as sz4;

[0057] The irrigation characteristic matrix GJ is constructed by combining the mean irrigation water consumption, mean ambient temperature, mean rainfall, mean soil moisture, crop type and crop growth stage;

[0058] The irrigation feature matrix GJ is used as the input of the machine learning model, and the irrigation water consumption corresponding to each group of irrigation feature matrices GJ is used as the output of the machine learning model. The irrigation water consumption is used as the prediction target, and the sum of the prediction errors of all training data is minimized as the training target. The machine learning model is trained until the sum of the prediction errors reaches convergence, and the training is stopped to obtain the irrigation water consumption prediction model.

[0059] Get the real-time irrigation data, process it and construct the irrigation feature matrix GJ 实时 , the irrigation water consumption prediction value is calculated through the trained irrigation water consumption prediction model, and the current irrigation water consumption is adjusted to be consistent with the irrigation water consumption prediction value according to the calculated irrigation water consumption prediction value.

[0060] As a preferred embodiment of the present invention, the specific process of the operation monitoring module to monitor the equipment operation parameters in real time is as follows:

[0061] Obtain equipment operating parameters, including operating voltage, operating current, and operating abnormal sound value;

[0062] Obtain the operating voltage of the water supply equipment in multiple monitoring periods to construct a set A of operating voltages, and record the average of the difference between the maximum subset and the minimum subset in set A as the operating voltage difference DYC;

[0063] The operating current of the water supply equipment in multiple monitoring periods is obtained to construct a set B of the operating current, and the average of the difference between the maximum subset and the minimum subset in the set B is recorded as the operating current difference DLC;

[0064] The abnormal operation sound values ​​of the water supply equipment in multiple monitoring periods are obtained to construct a set C of abnormal operation sound values, and the mean of the difference between the maximum subset and the minimum subset in set C is recorded as the abnormal operation sound value difference YXC.

[0065] As a preferred embodiment of the present invention, the operating voltage difference, the operating current difference and the operating abnormal sound value difference are obtained, and the operating state evaluation coefficient YZP is calculated by the following formula:

[0066]

[0067] Among them, e1, e2 and e3 are all preset proportional factor coefficients, e3>e2>e1>0, and the operation status assessment coefficient YZP is compared with the preset operation status assessment coefficient threshold:

[0068] If the operating status evaluation coefficient YZP is less than the preset operating status evaluation coefficient threshold, it indicates that the water supply equipment is in good operating condition and no signal is generated;

[0069] If the operating status assessment coefficient YZP is greater than or equal to the preset operating status assessment coefficient threshold, it indicates that the operating status of the water supply equipment is poor, and an abnormal operation signal is generated and sent to the water use control platform;

[0070] When the water use control platform receives an abnormal operation signal, it will immediately take corresponding measures to deal with it.

[0071] Compared with the prior art, the advantages of the present invention are:

[0072] (1) In the present invention, the water consumption monitoring module is used to perform zoning monitoring and crop type analysis to achieve refined water management and ensure reasonable allocation. The real-time monitoring and early warning functions help to respond quickly to avoid waste or water shortage. Data-driven decision support optimizes water use strategies. The flexible evaluation mechanism adapts to different needs. Accurate monitoring and evaluation improves water resource utilization efficiency, reduces waste, and reduces costs.

[0073] (2) In the present invention, the water quality management module monitors the parameters of irrigation water in real time, detects abnormalities in time and issues an alarm to avoid crop damage. By comprehensively evaluating the change rate of multiple parameters, the water quality assessment is guaranteed to be accurate and reliable. The flexible weight coefficients are adapted to the needs of different crops. The automated processing reduces manual intervention, improves management efficiency, solves water quality problems in time, ensures the safety of irrigation water, promotes the healthy growth of crops, and reduces economic losses.

[0074] (3) In the present invention, historical and real-time data are combined through the irrigation water consumption adjustment module, and the machine learning model is used to accurately predict the irrigation water consumption, and automatically adjust to improve efficiency. It comprehensively considers multiple factors to ensure the scientificity and rationality of the irrigation strategy, dynamically adapts to different environmental conditions and crop growth stages, optimizes water resource utilization, reduces costs, automates operations to reduce human errors, and supports a variety of crops and complex growth environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0076] Figure 2 This is a system block diagram of Embodiment 2 of the present invention;

[0077] Figure 3 This is a logical flow diagram of the first embodiment of the present invention;

[0078] Figure 4 This is a logical flow diagram of the second embodiment of the present invention. DETAILED DESCRIPTION

[0079] The following will combine 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 the embodiments. All other embodiments obtained by ordinary technicians in this field without creative work based on the embodiments of the present invention belong to the scope of protection of the present invention.

[0080] Embodiment 1: Figure 1 and Figure 3 As shown, a greenhouse energy-saving water use monitoring system proposed in the present invention includes a water use control platform, a water consumption monitoring module, a water quality management module, a water resource scheduling module, an irrigation water consumption adjustment module and an operation monitoring module;

[0081] The water use control platform is connected to the water consumption monitoring module, water quality management module, and operation monitoring module in two-way communication. The water use control platform is connected to the irrigation water consumption adjustment module in one-way communication. The water resource scheduling module is connected to the water consumption monitoring module and water quality management module in one-way communication.

[0082] The water consumption monitoring module is used to monitor the water consumption parameters in the greenhouse in real time, divide the greenhouse into different areas according to the crop type, and monitor and evaluate the water consumption of each area;

[0083] The specific process of the water consumption monitoring module to monitor and evaluate the water consumption of greenhouses in different areas is as follows:

[0084] Obtain water use parameters in the greenhouse, including irrigation water use, facility maintenance and cleaning water use, and humidification and cooling water use, generate a monitoring cycle, and divide the monitoring cycle into multiple monitoring periods {jc1, jc2, …, jcm};

[0085] Divide the greenhouse into different areas {rg1, rg2, …, rgn} according to crop types;

[0086] The irrigation water consumption of each area in multiple monitoring periods is obtained, and the arithmetic mean of the multiple irrigation water consumptions is calculated, and the arithmetic mean of the multiple irrigation water consumptions is recorded as the average irrigation water consumption PGY;

[0087] Obtain the facility maintenance and cleaning water consumption of each area in multiple monitoring periods, and calculate the arithmetic average of the multiple facility maintenance and cleaning water consumptions obtained, and record the arithmetic average of the multiple facility maintenance and cleaning water consumptions as the average facility maintenance and cleaning water consumption PSQ;

[0088] The humidification and cooling water consumption of each area in multiple monitoring periods is obtained, and the arithmetic average of the multiple humidification and cooling water consumptions is calculated, and the arithmetic average of the multiple humidification and cooling water consumptions is recorded as the average humidification and cooling water consumption PJW;

[0089] The average irrigation water consumption PGY, the average facility maintenance and cleaning water consumption PSQ, and the average humidification and cooling water consumption PJW are obtained, and the water consumption assessment coefficient YPX of each area is calculated by the following formula:

[0090]

[0091] Among them, h1, h2 and h3 are all preset proportional factor coefficients, h3>h2>h1>0, the water consumption assessment coefficient YPX is compared with the preset first water consumption assessment coefficient threshold and the preset second water consumption assessment coefficient threshold, and the preset first water consumption assessment coefficient threshold is less than the preset second water consumption assessment coefficient threshold:

[0092] If the water consumption assessment coefficient YPX is less than the preset first water consumption assessment coefficient threshold, it indicates that the water consumption in the area is insufficient, and a water shortage signal is generated and sent to the water use control platform;

[0093] If the water consumption assessment coefficient YPX is greater than or equal to the preset first water consumption assessment coefficient threshold, and the water consumption assessment coefficient YPX is less than the preset second water consumption assessment coefficient threshold, it indicates that the water consumption in the area is appropriate, and an appropriate water consumption signal is generated and sent to the water use control platform;

[0094] If the water consumption assessment coefficient YPX is greater than or equal to the preset second water consumption assessment coefficient threshold, it indicates that the water consumption in the area exceeds the standard, and a water consumption excess signal is generated and sent to the water consumption control platform;

[0095] Through the water consumption monitoring module, zoning monitoring and crop type analysis can be carried out to achieve refined water management and ensure reasonable allocation. Real-time monitoring and early warning functions help to respond quickly to avoid waste or water shortage. Data-driven decision support optimizes water use strategies. Flexible evaluation mechanisms adapt to different needs. Accurate monitoring and evaluation improve water resource utilization efficiency, reduce waste and lower costs.

[0096] The water quality management module is used to monitor the water quality parameters of irrigation water in real time. When abnormal water quality is detected, an alarm is triggered immediately and corresponding treatment measures are taken;

[0097] The specific process of the water quality management module monitoring the water quality parameters of irrigation water in real time and immediately triggering an alarm when abnormal water quality is detected is as follows:

[0098] Obtain water quality parameters for irrigation water, including pH value, dissolved oxygen and conductivity;

[0099] Obtaining the pH change rate of irrigation water in multiple monitoring periods, the pH change rate indicates the speed at which the pH value in the irrigation water changes over time, calculating the difference between the pH change rate and the median of a preset suitable pH change rate range, and taking the absolute value to obtain the pH change rate difference, marking the pH change rate difference as PHC;

[0100] Obtain the dissolved oxygen change rate of irrigation water in multiple monitoring periods. The dissolved oxygen change rate indicates the speed at which the dissolved oxygen concentration in the water body changes over time. The dissolved oxygen change rate is compared with the median of the preset suitable dissolved oxygen change rate range, and the absolute value is taken to obtain the dissolved oxygen change rate difference, which is recorded as RYC.

[0101] Obtain the conductivity change rate of irrigation water in multiple monitoring periods. The conductivity change rate indicates the speed at which the conductivity in the water changes over time. The conductivity change rate is compared with the median of a preset suitable conductivity change rate range for difference calculation and the absolute value is taken to obtain the conductivity change rate difference. The conductivity change rate difference is recorded as DLC.

[0102] Obtain the pH value change rate difference, dissolved oxygen change rate difference and conductivity change rate difference, and calculate the water quality monitoring assessment coefficient SJX by the following formula:

[0103] SJX=k1*PHC+k2*RYC+k3*DLC;

[0104] Among them, k1+k2+k3=1, k1, k2 and k3 are all weight coefficients. By analyzing historical data, we can understand the influence of weight coefficients k1, k2 and k3 on the quality of irrigation water. According to historical data, we can determine the specific values ​​of k1, k2 and k3 to ensure that the calculated water quality monitoring and evaluation coefficient SJX can accurately reflect the actual water quality of irrigation water.

[0105] Compare the water quality monitoring assessment coefficient SJX with the preset water quality monitoring assessment coefficient threshold:

[0106] If the water quality monitoring and assessment coefficient SJX is less than the preset water quality monitoring and assessment coefficient threshold, it indicates that the water quality of the irrigation water is good, and a good water quality signal is generated and sent to the water use control platform;

[0107] If the water quality monitoring and assessment coefficient SJX is greater than or equal to the preset water quality monitoring and assessment coefficient threshold, it indicates that the water quality of the irrigation water is poor, and a water quality abnormality signal is generated and sent to the water use control platform;

[0108] When the water use control platform receives an abnormal water quality signal, it immediately triggers an alarm to notify relevant personnel and take corresponding measures to deal with it. The specific treatment measures are as follows:

[0109] Automatically start acidification or alkalization treatment;

[0110] Automatically start the oxygen enrichment equipment to increase the oxygen injection amount or adjust the operation of the oxygen enrichment equipment to reduce the oxygen injection amount;

[0111] Automatically start the reverse osmosis equipment to remove salt and dissolved ions in the water or add an appropriate amount of nutrient solution to increase the ion concentration in the water;

[0112] The water quality management module monitors irrigation water parameters in real time, detects anomalies and issues alarms in time to avoid crop damage. By comprehensively evaluating the change rates of multiple parameters, the water quality assessment is accurate and reliable. Flexible weight coefficients adapt to the needs of different crops. Automated processing reduces manual intervention, improves management efficiency, solves water quality problems in a timely manner, ensures irrigation water safety, promotes healthy crop growth, and reduces economic losses.

[0113] The water resource scheduling module is used to formulate strategies and automatically adjust water resource allocation based on water consumption monitoring results and water quality monitoring results;

[0114] The specific process of the water resource scheduling module automatically adjusting water resource allocation is as follows:

[0115] Obtain water consumption monitoring results and water quality monitoring results, comprehensively analyze water consumption monitoring results and water quality monitoring results, and formulate the following strategies to automatically adjust water resource allocation. The specific strategy contents are as follows:

[0116] If water availability is insufficient and water quality is good, priority will be given to ensuring water demand in key areas and allocating high-quality water to crops that require higher water quality;

[0117] If water demand is insufficient and water quality is poor, priority will be given to ensuring water demand in key areas, while areas with poor water quality will be treated before water is supplied;

[0118] If water use is appropriate and water quality is good, maintain the current allocation strategy to ensure that water needs in each region are met and that high-quality water is allocated to high-quality crops;

[0119] If water use is appropriate and water quality is poor, water treatment is applied to areas with poor water quality, or poor quality water is allocated to low-quality crops;

[0120] If water use exceeds the limit and water quality is good, water supply will be reduced to prioritize water needs in key areas and allocate high-quality water to high-quality crops;

[0121] If water consumption exceeds the standard and water quality is poor, water supply will be reduced to prioritize water demand in key areas and water quality treatment will be carried out in areas with poor water quality;

[0122] The water resource scheduling module comprehensively analyzes water consumption and water quality monitoring results and automatically adjusts the allocation strategy: when water consumption is insufficient, priority is given to key areas, high-quality water sources are allocated when water quality is good, and water is supplied after treatment if water quality is poor; when the amount is appropriate, the current allocation is maintained, and poor water quality is treated or allocated with inferior water sources; when the amount exceeds the standard, the water supply is reduced, key areas and high-quality crops are prioritized, and poor water quality is treated with inferior water sources; intelligent strategies ensure the rational allocation and efficient use of water resources.

[0123] Embodiment 2: The technical solution of the embodiment of the present invention is different from that of embodiment 1 in that:

[0124] like Figure 2 and Figure 4 As shown, the irrigation water consumption adjustment module is used to collect historical irrigation data, build an irrigation water consumption prediction model, calculate the irrigation water consumption prediction value according to the model, and adjust the current irrigation water consumption according to the calculation result;

[0125] The specific process of the irrigation water consumption adjustment module calculating the irrigation water consumption forecast value and adjusting the current irrigation water consumption according to the calculation result is as follows:

[0126] Obtain historical irrigation data, including irrigation water consumption, ambient temperature, rainfall, soil moisture, crop type, and crop growth stage, generate a collection cycle, divide the collection cycle into s consecutive sub-cycles, and mark the midpoint of each sub-cycle to obtain s midpoints;

[0127] Taking s midpoint moments as the base point, expand forward and backward by equal lengths, mark d-1 expansion moments, and then sum up the midpoint moments and d-1 expansion moments to obtain d detection moments;

[0128] The irrigation water consumption at d detection moments is measured by sensors to obtain d detection irrigation water consumptions, and the d detection irrigation water consumptions are accumulated and averaged to obtain s sub-irrigation water consumptions;

[0129] The expression of irrigation water consumption is:

[0130] In the formula, GY zs is the irrigation water consumption of the sth sub-cycle, GY jcsn The nth detected irrigation water consumption in the sth sub-cycle;

[0131] Remove the maximum and minimum values ​​of the sub-irrigation water consumption, and add up the remaining s-2 sub-irrigation water consumption and calculate the average to obtain the mean irrigation water consumption;

[0132] The expression of the mean irrigation water consumption is:

[0133] In the formula, GY jy is the average irrigation water consumption, GY zp is the sub-irrigation water consumption in the pth sub-period;

[0134] The mean value of the ambient temperature HW can be obtained by using the method of calculating the mean value of the irrigation water consumption. jw , mean rainfall JY jy And the mean soil moisture TS js ;

[0135] Number different types of crops as {1, 2, …, m};

[0136] The crop growth stages are marked in sequence, the crop germination period is marked as sz0, the crop seedling period is marked as sz1, the crop vegetative growth period is marked as sz2, the crop reproductive growth period is marked as sz3, and the crop maturity period is marked as sz4;

[0137] The irrigation characteristic matrix GJ is constructed by combining the mean irrigation water consumption, mean ambient temperature, mean rainfall, mean soil moisture, crop type and crop growth stage;

[0138] The irrigation feature matrix GJ is used as the input of the machine learning model, and the irrigation water consumption corresponding to each group of irrigation feature matrices GJ is used as the output of the machine learning model. The irrigation water consumption is used as the prediction target, and the sum of the prediction errors of all training data is minimized as the training target. The machine learning model is trained until the sum of the prediction errors reaches convergence, and the training is stopped to obtain the irrigation water consumption prediction model.

[0139] Get the real-time irrigation data, process it and construct the irrigation feature matrix GJ 实时 , calculating the irrigation water consumption prediction value through the trained irrigation water consumption prediction model, and adjusting the current irrigation water consumption to be consistent with the irrigation water consumption prediction value according to the calculated irrigation water consumption prediction value;

[0140] The irrigation water consumption adjustment module combines historical and real-time data, uses machine learning models to accurately predict irrigation water consumption, and automatically adjusts to improve efficiency. It comprehensively considers multiple factors to ensure the scientificity and rationality of irrigation strategies, dynamically adapts to different environmental conditions and crop growth stages, optimizes water resource utilization, reduces costs, automates operations to reduce human errors, and supports a variety of crops and complex growth environments.

[0141] The operation monitoring module is used to monitor the equipment operation parameters in real time and take corresponding measures immediately when abnormal conditions are detected;

[0142] The specific process of the operation monitoring module to monitor the equipment operation parameters in real time is as follows:

[0143] Obtain equipment operating parameters, including operating voltage, operating current, and operating abnormal sound value;

[0144] Obtain the operating voltage of the water supply equipment in multiple monitoring periods to construct a set A of operating voltages, and record the average of the difference between the maximum subset and the minimum subset in set A as the operating voltage difference DYC;

[0145] The operating current of the water supply equipment in multiple monitoring periods is obtained to construct a set B of the operating current, and the average of the difference between the maximum subset and the minimum subset in the set B is recorded as the operating current difference DLC;

[0146] Obtain the abnormal operation sound values ​​of the water supply equipment in multiple monitoring periods, thereby constructing a set C of abnormal operation sound values, and record the mean of the difference between the maximum subset and the minimum subset in the set C as the abnormal operation sound value difference YXC;

[0147] The operating voltage difference, operating current difference and operating abnormal sound value difference are obtained, and the operating status assessment coefficient YZP is calculated using the following formula:

[0148]

[0149] Among them, e1, e2 and e3 are all preset proportional factor coefficients, e3>e2>e1>0, and the operation status assessment coefficient YZP is compared with the preset operation status assessment coefficient threshold:

[0150] If the operating status evaluation coefficient YZP is less than the preset operating status evaluation coefficient threshold, it indicates that the water supply equipment is in good operating condition and no signal is generated;

[0151] If the operating status assessment coefficient YZP is greater than or equal to the preset operating status assessment coefficient threshold, it indicates that the operating status of the water supply equipment is poor, and an abnormal operation signal is generated and sent to the water use control platform;

[0152] When the water use control platform receives an abnormal operation signal, it immediately takes corresponding measures to deal with it. The specific contents of the treatment measures are as follows:

[0153] Automatic power-off protection, start-up of backup power supply, and sending of early warning notifications;

[0154] Automatic current limiting, overload protection activation, and early warning notification sending;

[0155] Automatically shut down, initiate fault diagnosis, and send early warning notifications;

[0156] The operation monitoring module can capture equipment anomalies in real time and generate signals to prevent faults from expanding. Multi-parameter evaluation can ensure comprehensiveness and accuracy, reduce misjudgment, support automated processing, improve efficiency, reduce manual intervention, and provide flexible preset thresholds to adapt to different equipment and environments. It can handle anomalies in a timely manner, extend equipment life, reduce maintenance costs, and improve reliability. Based on historical and real-time data, it can achieve scientific decision-making and intelligent management.

[0157] The above are only preferred specific implementation modes of the present invention; however, the protection scope of the present invention is not limited thereto; any technician familiar with the technical field within the technical scope disclosed by the present invention; any equivalent replacement or change based on the technical solution and improved concept of the present invention shall be covered within the protection scope of the present invention.

Claims

1. A greenhouse energy-saving water monitoring system, characterized in that: It includes water use control platform, water consumption monitoring module, water quality management module, water resource scheduling module, irrigation water consumption adjustment module and operation monitoring module; The water consumption monitoring module is used to monitor the water consumption parameters in the greenhouse in real time, divide the greenhouse into different areas according to the crop type, and monitor and evaluate the water consumption of each area; The water quality management module is used to monitor the water quality parameters of irrigation water in real time. When abnormal water quality is detected, an alarm is triggered immediately and corresponding treatment measures are taken; The water resource scheduling module is used to formulate strategies and automatically adjust water resource allocation based on water consumption and water quality monitoring results; The irrigation water consumption adjustment module is used to collect historical irrigation data, build an irrigation water consumption prediction model, calculate the irrigation water consumption prediction value according to the model, and adjust the current irrigation water consumption according to the calculation result; The operation monitoring module is used to monitor the equipment operation parameters in real time. When an abnormal situation is detected, corresponding measures are taken immediately to deal with it.

2. A greenhouse energy-saving water monitoring system according to claim 1, characterized in that: The specific process of the water consumption monitoring module to monitor and evaluate the water consumption of greenhouses in different areas is as follows: Obtain water use parameters in the greenhouse, including irrigation water use, facility maintenance and cleaning water use, and humidification and cooling water use, generate a monitoring cycle, and divide the monitoring cycle into multiple monitoring periods {jc1, jc2, …, jcm}; Divide the greenhouse into different areas {rg1, rg2, …, rgn} according to crop types; The irrigation water consumption of each area in multiple monitoring periods is obtained, and the arithmetic mean of the multiple irrigation water consumptions is calculated, and the arithmetic mean of the multiple irrigation water consumptions is recorded as the average irrigation water consumption PGY; Obtain the facility maintenance and cleaning water consumption of each area in multiple monitoring periods, and calculate the arithmetic average of the multiple facility maintenance and cleaning water consumptions obtained, and record the arithmetic average of the multiple facility maintenance and cleaning water consumptions as the average facility maintenance and cleaning water consumption PSQ; The humidification and cooling water consumption of each area in multiple monitoring periods is obtained, and the arithmetic mean of the multiple humidification and cooling water consumptions is calculated, and the arithmetic mean of the multiple humidification and cooling water consumptions is recorded as the average humidification and cooling water consumption PJW.

3. A greenhouse energy-saving water monitoring system according to claim 2, characterized in that: The average irrigation water consumption PGY, the average facility maintenance and cleaning water consumption PSQ, and the average humidification and cooling water consumption PJW are obtained, and the water consumption assessment coefficient YPX of each area is calculated by the following formula: Among them, h1, h2 and h3 are all preset proportional factor coefficients, h3>h2>h1>0, the water consumption assessment coefficient YPX is compared with the preset first water consumption assessment coefficient threshold and the preset second water consumption assessment coefficient threshold, and the preset first water consumption assessment coefficient threshold is less than the preset second water consumption assessment coefficient threshold: If the water consumption assessment coefficient YPX is less than the preset first water consumption assessment coefficient threshold, it indicates that the water consumption in the area is insufficient, and a water shortage signal is generated and sent to the water use control platform; If the water consumption assessment coefficient YPX is greater than or equal to the preset first water consumption assessment coefficient threshold, and the water consumption assessment coefficient YPX is less than the preset second water consumption assessment coefficient threshold, it indicates that the water consumption in the area is appropriate, and an appropriate water consumption signal is generated and sent to the water use control platform; If the water consumption assessment coefficient YPX is greater than or equal to the preset second water consumption assessment coefficient threshold, it indicates that the water consumption in the area exceeds the standard, and a water consumption excess signal is generated and sent to the water use control platform.

4. A greenhouse energy-saving water monitoring system according to claim 3, characterized in that: The specific process of the water quality management module monitoring the water quality parameters of irrigation water in real time and immediately triggering an alarm when abnormal water quality is detected is as follows: Obtain water quality parameters for irrigation water, including pH value, dissolved oxygen and conductivity; Obtaining the pH change rate of irrigation water in multiple monitoring periods, the pH change rate indicates the speed at which the pH value in the irrigation water changes over time, calculating the difference between the pH change rate and the median of a preset suitable pH change rate range, and taking the absolute value to obtain the pH change rate difference, marking the pH change rate difference as PHC; Obtain the dissolved oxygen change rate of irrigation water in multiple monitoring periods. The dissolved oxygen change rate indicates the speed at which the dissolved oxygen concentration in the water body changes over time. The dissolved oxygen change rate is compared with the median of the preset suitable dissolved oxygen change rate range, and the absolute value is taken to obtain the dissolved oxygen change rate difference, which is recorded as RYC. The conductivity change rate of irrigation water in multiple monitoring periods is obtained. The conductivity change rate indicates the speed at which the conductivity in the water body changes over time. The conductivity change rate is compared with the median of the preset appropriate conductivity change rate range, and the difference is calculated and the absolute value is taken to obtain the conductivity change rate difference, which is recorded as DLC.

5. A greenhouse energy-saving water monitoring system according to claim 4, characterized in that: Obtain the pH value change rate difference, dissolved oxygen change rate difference and conductivity change rate difference, and calculate the water quality monitoring assessment coefficient SJX using the following formula: SJX=k1*PHC+k2*RYC+k3*DLC; Where k1+k2+k3=1, k1, k2 and k3 are all weight coefficients, and the water quality monitoring assessment coefficient SJX is compared with the preset water quality monitoring assessment coefficient threshold: If the water quality monitoring and assessment coefficient SJX is less than the preset water quality monitoring and assessment coefficient threshold, it indicates that the water quality of the irrigation water is good, and a good water quality signal is generated and sent to the water use control platform; If the water quality monitoring and assessment coefficient SJX is greater than or equal to the preset water quality monitoring and assessment coefficient threshold, it indicates that the water quality of the irrigation water is poor, and a water quality abnormality signal is generated and sent to the water use control platform; When the water use control platform receives an abnormal water quality signal, it immediately triggers an alarm to notify relevant personnel and take corresponding measures to deal with it.

6. A greenhouse energy-saving water monitoring system according to claim 5, characterized in that: The specific process of the water resource scheduling module automatically adjusting water resource allocation is as follows: Obtain water consumption monitoring results and water quality monitoring results, comprehensively analyze water consumption monitoring results and water quality monitoring results, and formulate the following strategies to automatically adjust water resource allocation. The specific strategy contents are as follows: If water availability is insufficient and water quality is good, priority will be given to ensuring water demand in key areas and allocating high-quality water to crops that require higher water quality; If water demand is insufficient and water quality is poor, priority will be given to ensuring water demand in key areas, while areas with poor water quality will be treated before water is supplied; If water use is appropriate and water quality is good, maintain the current allocation strategy to ensure that water needs in each region are met and that high-quality water is allocated to high-quality crops; If water use is appropriate and water quality is poor, water treatment is applied to areas with poor water quality, or poor quality water is allocated to low-quality crops; If water use exceeds the limit and water quality is good, water supply will be reduced to prioritize water needs in key areas and allocate high-quality water to high-quality crops; If water consumption exceeds the standard and the water quality is poor, water supply will be reduced, priority will be given to ensuring water needs in key areas, and water quality treatment will be carried out in areas with poor water quality.

7. A greenhouse energy-saving water monitoring system according to claim 1, characterized in that: The specific process of the irrigation water consumption adjustment module calculating the irrigation water consumption prediction value and adjusting the current irrigation water consumption according to the calculation result is as follows: Obtain historical irrigation data, including irrigation water consumption, ambient temperature, rainfall, soil moisture, crop type, and crop growth stage, generate a collection cycle, divide the collection cycle into s consecutive sub-cycles, and mark the midpoint of each sub-cycle to obtain s midpoints; Taking s midpoint moments as the base point, expand forward and backward by equal lengths, mark d-1 expansion moments, and then sum up the midpoint moments and d-1 expansion moments to obtain d detection moments; The irrigation water consumption at d detection moments is measured by sensors to obtain d detection irrigation water consumptions, and the d detection irrigation water consumptions are accumulated and averaged to obtain s sub-irrigation water consumptions; The expression of irrigation water consumption is: In the formula, GY zs is the irrigation water consumption of the sth sub-cycle, GY jcsn The nth detected irrigation water consumption in the sth sub-cycle; Remove the maximum and minimum values ​​of the sub-irrigation water consumption, and add up the remaining s-2 sub-irrigation water consumption and calculate the average to obtain the mean irrigation water consumption; The expression of the mean irrigation water consumption is: In the formula, GY jy is the average irrigation water consumption, GY zp is the sub-irrigation water consumption in the pth sub-cycle.

8. A greenhouse energy-saving water monitoring system according to claim 7, characterized in that: The mean value of the ambient temperature HW can be obtained by using the method of calculating the mean value of the irrigation water consumption. jw , mean rainfall JY jy And the mean soil moisture TS js ; Number different types of crops as {1, 2, …, m}; The crop growth stages are marked in sequence, the crop germination period is marked as sz0, the crop seedling period is marked as sz1, the crop vegetative growth period is marked as sz2, the crop reproductive growth period is marked as sz3, and the crop maturity period is marked as sz4; The irrigation characteristic matrix GJ is constructed by combining the mean irrigation water consumption, mean ambient temperature, mean rainfall, mean soil moisture, crop type and crop growth stage; The irrigation feature matrix GJ is used as the input of the machine learning model, and the irrigation water consumption corresponding to each group of irrigation feature matrices GJ is used as the output of the machine learning model. The irrigation water consumption is used as the prediction target, and the sum of the prediction errors of all training data is minimized as the training target. The machine learning model is trained until the sum of the prediction errors reaches convergence, and the training is stopped to obtain the irrigation water consumption prediction model. Get the real-time irrigation data, process it and construct the irrigation feature matrix GJ 实时 , the irrigation water consumption prediction value is calculated through the trained irrigation water consumption prediction model, and the current irrigation water consumption is adjusted to be consistent with the irrigation water consumption prediction value according to the calculated irrigation water consumption prediction value.

9. A greenhouse energy-saving water monitoring system according to claim 1, characterized in that: The specific process of the operation monitoring module to monitor the equipment operation parameters in real time is as follows: Obtain equipment operating parameters, including operating voltage, operating current, and operating abnormal sound value; Obtain the operating voltage of the water supply equipment in multiple monitoring periods to construct a set A of operating voltages, and record the average of the difference between the maximum subset and the minimum subset in set A as the operating voltage difference DYC; The operating current of the water supply equipment in multiple monitoring periods is obtained to construct a set B of the operating current, and the average of the difference between the maximum subset and the minimum subset in the set B is recorded as the operating current difference DLC; The abnormal operation sound values ​​of the water supply equipment in multiple monitoring periods are obtained to construct a set C of abnormal operation sound values, and the mean of the difference between the maximum subset and the minimum subset in set C is recorded as the abnormal operation sound value difference YXC.

10. A greenhouse energy-saving water monitoring system according to claim 9, characterized in that: The operating voltage difference, operating current difference and operating abnormal sound value difference are obtained, and the operating status assessment coefficient YZP is calculated using the following formula: Among them, e1, e2 and e3 are all preset proportional factor coefficients, e3>e2>e1>0, and the operation status assessment coefficient YZP is compared with the preset operation status assessment coefficient threshold: If the operating status evaluation coefficient YZP is less than the preset operating status evaluation coefficient threshold, it indicates that the water supply equipment is in good operating condition and no signal is generated; If the operating status assessment coefficient YZP is greater than or equal to the preset operating status assessment coefficient threshold, it indicates that the operating status of the water supply equipment is poor, and an abnormal operation signal is generated and sent to the water use control platform; When the water use control platform receives an abnormal operation signal, it will immediately take corresponding measures to deal with it.

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