Multi-parameter cooperative control method and system for intelligent soilless culture of plateau greenhouse

Abstract

The invention provides a multi-parameter cooperative control method and system for intelligent soilless culture of a plateau greenhouse. The method comprises the steps of obtaining environment information; when all environmental factor data in the environmental information meet the corresponding basic safety standards, obtaining preparation information from the multi-liquid hydrogen-rich water preparation equipment; obtaining a hydrogen production capability feedback score according to the preparation information; according to the hydrogen production capability feedback score and the demand constraint condition of the target crop in the current growth stage, judging whether the PID control output quantity corresponding to each environmental factor data needing PID control in the environmental information is within the preset output range; and if the PID control output quantity exceeding the output range reaches a preset threshold value, generating prompt information including identification data of the target crop and sending the prompt information to user equipment. According to the invention, through cooperation of environment perception and hydrogen-rich water state evaluation, an appropriate moisture and hydrogen environment is provided according to growth stage demands of target crops and the actual hydrogen production capability of hydrogen production equipment.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of multi-parameter cooperative control, and in particular to a multi-parameter cooperative control method and system for intelligent soilless cultivation in a plateau greenhouse. BACKGROUND

[0002] In recent years, soilless cultivation technology has been widely used in agricultural production, especially in the seedling cultivation stage. The application of soilless cultivation technology has attracted increasing attention, which can provide a more precise and controllable environment for seedling growth, and help to improve seedling quality and growth consistency.

[0003] For example, the small-sized soilless cultivation nutrient solution supply and light automatic control device with the application number CN201621224509.5 is designed to utilize the frame body, the fluorescent lamp, and the PLC controller to realize automatic nutrient solution supply and light control for vegetables and flowers, solve the problems of large occupation and high cost of the existing system, and be suitable for small-scale industrialization and experimental teaching. The controller is provided with a PID adjustment module, and the PID control of the liquid pump is a traditional single-factor control. The supply and control of hydrogen-rich water are usually operated according to fixed water supply strategies, without fully considering the actual hydrogen production capacity of the hydrogen production equipment and the dynamic demand for hydrogen-rich water types (such as disinfecting and killing type acidic water, developing type neutral water, and yield-increasing type alkaline water) of crops in different growth stages. This water supply method may lead to insufficient or excessive supply of hydrogen-rich water, affecting the growth of crops in different growth stages, and even causing resource waste.

[0004] Therefore, the present application provides a multi-parameter cooperative control method and system for intelligent soilless cultivation in a plateau greenhouse. SUMMARY

[0005] In view of the problems in the prior art, the present application provides a multi-parameter cooperative control method and system for intelligent soilless cultivation in a plateau greenhouse.

[0006] The purpose of the present application is achieved by the following technical solutions:

[0007] In a first aspect, the present application provides a multi-parameter cooperative control method for intelligent soilless cultivation in a plateau greenhouse, which comprises:

[0008] Obtaining environmental information, the environmental information including environmental factor data of target crops in soilless cultivation obtained by using a sensing device; the environmental factor data including nutrient solution concentration, hydrogen capacity, and irrigation amount;

[0009] When each of the environmental factor data in the environment information meets the corresponding basic safety standard, obtain preparation information from the multi-liquid hydrogen-rich water preparation device, the preparation information including hydrogen production data of a target crop in a latest collection period;

[0010] According to the preparation information, obtain a hydrogen production capacity feedback score; and according to the hydrogen production capacity feedback score and a demand constraint condition of the target crop in a current growth stage, determine whether PID control output corresponding to each of the environmental factor data in the environment information that needs PID control is within a preset output range thereof;

[0011] According to the PID control output within the preset output range thereof, regulate the corresponding execution device to adjust the environmental factor data of the target crop; and if the number of PID control outputs exceeding the output range reaches a preset threshold, generate prompt information including identification data of the target crop and send the prompt information to a user device.

[0012] The embodiment has the advantage that, considering that the growth stage provided by seedling cultivation has a certain timeliness, and the change of each environmental factor data is not so frequent, the hydrogen production data is obtained only after the basic judgment of the environmental factor data, and then the latest demand constraint condition of the current growth stage is obtained for the subsequent judgment process. In this way, it can be ensured that the obtained data matches the actual growth state of the seedling, thereby providing a reliable basis for subsequent precise regulation, and realizing efficient management and optimization of the seedling cultivation process to meet the specific needs of the seedling for environmental conditions and material supply at different growth stages, and to ensure the healthy growth and development of the seedling, and to improve the success rate and quality of seedling cultivation. Through the cooperation of environment perception and hydrogen-rich water state evaluation, the supply amount of multi-liquid hydrogen-rich water can be accurately adjusted through PID control according to the growth stage demand of the target crop and the actual hydrogen production capacity of the hydrogen production device, to provide suitable water and hydrogen environment for the crop, which is conducive to the healthy growth of the crop and improves the yield and quality of the crop. In summary, the technical solution provided in the embodiment first judges the safety of the environmental factor data before adjusting the supply of hydrogen-rich water, and only in the case of environmental safety can the subsequent operation be performed, thereby avoiding improper supply and regulation of hydrogen-rich water to the crop in a bad environment, meeting the dynamic demand of the actual hydrogen production capacity and the type of hydrogen-rich water (such as killing-type acidic water, development-type neutral water, and yield-increasing-type alkaline water) of the crop at different growth stages, thereby ensuring the safe and stable operation of the entire soilless cultivation system, and reducing the risk of system failure or crop damage.

[0013] In some possible implementations, the multi-liquid hydrogen-rich water preparation device includes a plurality of liquid storage tanks and a liquid pump, and the liquid pump is configured to guide the liquid hydrogen-rich water in one of the liquid storage tanks to a water requiring area of the target crop through a pipeline;

[0014] The method further includes: performing a liquid shortage judgment on the currently operating storage tank in the multi-liquid hydrogen-rich water preparation equipment.

[0015] The advantage of this implementation is that by performing a liquid shortage check on the currently operating storage tank when the number of PID control outputs exceeding the output range reaches a preset threshold, it can promptly detect potential problems such as liquid shortage in the storage tank. This avoids continuous abnormal hydrogen-rich water supply regulation due to liquid shortage, which could lead to greater malfunctions in the entire hydroponics system or adversely affect the growth of the target crop, thereby improving the reliability and stability of the system. When the PID control output is abnormal, this step helps to accurately pinpoint whether the abnormality is due to liquid shortage in the storage tank, facilitating more targeted solutions, such as timely replenishment of liquid hydrogen-rich water in the storage tank, to ensure the restoration of normal hydrogen-rich water supply and guarantee a normal growth environment for the target crop.

[0016] In some possible implementations, the fluid shortage determination includes:

[0017] S1. Identify the type of liquid hydrogen-rich water in the storage tank. The types include disinfection-type acidic water, development-type neutral water, and production-enhancing alkaline water.

[0018] S2. For the identified liquid type, the PID algorithm is used to calculate and output the corresponding liquid to the cultivation area to maintain the nutrient solution concentration and target dissolved hydrogen amount;

[0019] S3. When the PID control output reaches the specified maximum output and continues to exceed the set number of liquid shortage judgment cycles, detect the change in nutrient solution concentration and target dissolved hydrogen amount: determine whether the current storage tank is short of liquid based on the change.

[0020] S4. Once a liquid shortage is detected, the PID integral term is cleared, the system switches to the next storage tank of the same type, and the number of switches is accumulated.

[0021] The advantages of this implementation method are that by identifying the type of liquid hydrogen-rich water and controlling the output of the corresponding liquid using a PID algorithm, it can accurately supply the appropriate type of hydrogen-rich water according to the different growth stages of different target crops, which require disinfectant acidic water, developmental neutral water, and yield-enhancing alkaline water. This maintains suitable nutrient solution concentration and target dissolved hydrogen content, thereby creating optimal growth conditions for crops and improving crop yield and quality. When the PID control output reaches its maximum and continues to exceed the set number of cycles, the changes in nutrient solution concentration and target dissolved hydrogen content are detected to determine if there is a shortage of water. This allows for timely detection of water shortages in the storage tank, preventing insufficient or interrupted supply of hydrogen-rich water to the cultivation area, which could affect the normal growth of the target crops and ensure the stable operation of the soilless cultivation system. Operations such as clearing the PID integral term, switching to the same type of storage tank, and accumulating the number of switching operations enable rapid response to water shortages, ensuring the continuity of hydrogen-rich water supply. At the same time, accumulating the number of switching operations helps to understand the usage status of the storage tank, facilitating timely replenishment or replacement of the water-deficient tank, further improving the stability and reliability of the entire soilless cultivation system.

[0022] In some possible implementations, determining whether the current storage tank is low on liquid based on the change in quantity includes:

[0023] If the liquid is acidic or neutral water, and the real-time values ​​of nutrient solution concentration and target dissolved hydrogen amount have not increased by the corresponding percentage relative to the minimum value stored, then the current storage tank is determined to be short of liquid.

[0024] If the liquid is alkaline water, and the real-time values ​​of the nutrient solution concentration and the target dissolved hydrogen amount have not decreased by the corresponding percentage relative to the maximum value stored, then the current storage tank is determined to be short of liquid.

[0025] The advantage of this implementation method is that by setting specific judgment conditions for different types of liquid hydrogen-rich water, it can more accurately determine whether the storage tank is low on liquid. This avoids misjudgments or omissions caused by differences in liquid type, improves the accuracy of identifying liquid shortages, and ensures timely implementation of appropriate measures. Considering the different roles of acidic, neutral, and alkaline water in hydroponics and their impact on nutrient solution concentration and dissolved hydrogen, judgment methods suitable for their characteristics are adopted for each. This targeted design allows the system to better adapt to the supply needs of different types of liquid hydrogen-rich water, ensuring the stability of the target crop's growth environment.

[0026] In some possible implementations, the fluid deficiency determination further includes:

[0027] S5. When the number of switching times equals the total number of storage tanks of the same type, force a return to the first storage tank and execute S2 again; if the first storage tank is short of liquid again, determine that all storage tanks are short of liquid, maintain the maximum output and continuously check whether to replace with a full storage tank: if the replacement is completed within the set time, clear the PID integral term and return to S2; if not replaced, stop the liquid output and send a prompt message containing the target crop identifier to the user equipment.

[0028] The advantages of this implementation are that by forcibly returning to the first storage tank and re-executing operation S2, and by maintaining maximum output and continuously monitoring replacement status when all storage tanks are found to be low on liquid, downtime caused by liquid shortage is reduced, ensuring a relatively stable growth environment for the target crop. When the number of switching operations equals the total number of storage tanks of the same type, storage tank resources can be promptly reorganized and allocated, avoiding chaos or malfunction when multiple storage tanks are low on liquid. Simultaneously, the detection and corresponding operations for replacing full storage tanks help to rationally utilize storage tank resources and ensure the timely restoration of hydrogen-rich water supply. Upon determining that all storage tanks are low on liquid, a prompt message containing the target crop identifier is sent to the user equipment, promptly notifying management personnel to perform storage tank replacement operations, avoiding the tedious work of frequent manual inspections of storage tanks and reducing labor management costs. Stopping liquid output without timely replacement of the full liquid storage tank avoids equipment failure or damage to the target crop due to continuous liquid shortage. For example, excessive extraction of hydrogen-rich water from the low-liquid storage tank may damage equipment such as the liquid pump, or insufficient supply may affect the normal growth of the target crop or even cause crop death, thus protecting the safety of the equipment and the crop.

[0029] In some possible implementations, obtaining the hydrogen production capacity feedback score based on the preparation information includes:

[0030] Obtain the preset water supply strategy corresponding to the target crop; generate a hydrogen production capacity feedback score based on the preset multi-liquid hydrogen-rich water supply strategy and the preparation information.

[0031] The advantage of this implementation method is that by combining a preset water supply strategy with preparation information to generate a hydrogen production capacity feedback score, the performance of the hydrogen production equipment can be presented in a quantitative way. This helps to intuitively understand whether the hydrogen production equipment can meet the target crop's demand for hydrogen-rich water, facilitating the timely detection of problems such as insufficient or excessive hydrogen production capacity, and providing a basis for subsequent adjustments and optimizations. The hydrogen production capacity feedback score reflects the degree of matching between the hydrogen production equipment and the target crop's needs. Based on the score results, the supply of multi-liquid hydrogen-rich water can be optimized and adjusted, such as adjusting the operating parameters of the hydrogen production equipment and optimizing the water supply strategy, thereby improving the accuracy and effectiveness of water supply management and ensuring that the target crop receives a suitable supply of hydrogen-rich water at different growth stages. An accurate hydrogen production capacity feedback score helps the entire hydroponics system better coordinate the relationship between the hydrogen production equipment and the crop's needs.

[0032] Secondly, this application also provides a control method for intelligent soilless cultivation in a plateau greenhouse, the method comprising:

[0033] Using the multi-parameter collaborative control method described in any one of the first aspects, prompt information for each target crop is obtained;

[0034] The target crops that did not receive the prompt message are regarded as qualified crops. According to the preset water supply strategy corresponding to the qualified crops, the multi-liquid hydrogen-rich water of the corresponding specifications generated by the multi-liquid hydrogen-rich water preparation equipment is delivered to the water-requiring area of ​​the qualified crops. The liquid specifications of the multi-liquid hydrogen-rich water include disinfection acidic water, development neutral water and yield-increasing alkaline water.

[0035] The preset water supply strategy includes: obtaining water demand type information of the water demand area, and switching the water supply liquid state of the water demand area according to the liquid state specification and water supply time in the water demand type information.

[0036] Thirdly, this application also provides a multi-parameter collaborative control system for intelligent soilless cultivation in a plateau greenhouse, the system comprising:

[0037] The first information acquisition module is used to acquire environmental information, which includes environmental factor data of the target crop in hydroponics obtained by using sensing devices; the environmental factor data includes nutrient solution concentration, hydrogen content and irrigation amount.

[0038] The second information acquisition module is used to acquire preparation information from the multi-liquid hydrogen-rich water preparation equipment when all environmental factor data in the environmental information meet their corresponding basic safety standards. The preparation information includes hydrogen production data for the target crop in the most recent collection cycle.

[0039] The scoring acquisition module is used to acquire a hydrogen production capacity feedback score based on the preparation information; and to determine whether the PID control output corresponding to each environmental factor data that requires PID control in the environmental information is within its preset output range based on the hydrogen production capacity feedback score and the demand constraints of the target crop at the current growth stage.

[0040] The information sending module is used to adjust the corresponding execution device according to the PID control output within its preset output range, so as to adjust the environmental factor data of the target crop; if the number of PID control outputs exceeding the output range reaches a preset threshold, a prompt message including the identification data of the target crop is generated and sent to the user equipment. Attached Figure Description

[0041] The present application will be further described below with reference to the accompanying drawings and embodiments.

[0042] Figure 1 This is a flowchart illustrating a multi-parameter collaborative control method provided in an embodiment of this application.

[0043] Figure 2 This is a flowchart illustrating another multi-parameter collaborative control method provided in an embodiment of this application.

[0044] Figure 3 This is a schematic flowchart of a fluid shortage judgment provided in an embodiment of this application.

[0045] Figure 4 This is a schematic diagram of another process for determining fluid deficiency provided in an embodiment of this application.

[0046] Figure 5 This is a schematic diagram of a multi-parameter collaborative control system provided in an embodiment of this application. Detailed Implementation

[0047] The present application will now be further described in conjunction with the accompanying drawings and specific embodiments. It should be noted that, without conflict, the various embodiments or technical features described below can be arbitrarily combined to form new embodiments. The implementation process of the present application will be described below with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present application from the content disclosed in this specification. The present application can also be implemented or applied through other different specific implementation procedures, and the details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present application. It should be understood that the preferred embodiments are only for illustrating the present application and not for limiting the scope of protection of the present application.

[0048] Soilless cultivation techniques in related technologies typically rely on fixed water supply strategies for hydrogen-rich water, failing to adequately consider the actual hydrogen production capacity of the equipment and the dynamic demands of seeds and seedlings at different growth stages for different types of hydrogen-rich water (such as disinfectant acidic water, developmental neutral water, and yield-enhancing alkaline water). This inflexible water supply method may lead to insufficient or excessive supply of hydrogen-rich water, affecting the healthy growth of seedlings and subsequent crops. For example, during seedling management, precise control of environmental conditions such as temperature and humidity, and reasonable management of nutrient solution concentration are required to cultivate uniform and robust seedlings. Soilless cultivation systems in related technologies often cannot meet the high-precision, dynamic control requirements of environmental factors for seedling cultivation, making it difficult to achieve stability during the seedling cultivation stage. This application provides a multi-parameter collaborative control method and system for intelligent soilless cultivation in plateau greenhouses. The method will be described first, followed by the system.

[0049] Example 1.

[0050] Figure 1 This is a flowchart illustrating a multi-parameter collaborative control method provided in an embodiment of this application. The embodiment of this application provides a multi-parameter collaborative control method for intelligent soilless cultivation in a plateau greenhouse, the method comprising:

[0051] S101, Obtain environmental information, which includes environmental factor data of the target crop for hydroponics obtained using sensing devices;

[0052] Real-time data on environmental factors within the high-altitude greenhouse is collected using sensing devices. Given the large temperature differences and intense radiation in high-altitude regions, environmental control is crucial, as environmental factors, such as temperature and humidity, directly impact the growth of the target crops.

[0053] S102, when all environmental factor data in the environmental information meet their corresponding basic safety standards, obtain preparation information from the multi-liquid hydrogen-rich water preparation equipment, the preparation information including hydrogen production data in the most recent collection cycle for the target crop;

[0054] Only when all environmental data is safe will preparation information be obtained from the multi-liquid hydrogen-rich water preparation equipment for subsequent judgment. Preparation information includes hydrogen production data from the most recent acquisition cycle (e.g., hourly or every 6 hours), such as hydrogen yield, hydrogen-rich water pH value, and electrolysis unit operating status. In this step, safety verification provides a pre-emptive control and judgment mechanism to avoid resource waste.

[0055] S103, obtain a hydrogen production capacity feedback score based on the preparation information; based on the hydrogen production capacity feedback score and the demand constraints of the target crop at the current growth stage, determine whether the PID control output corresponding to the multi-liquid hydrogen-rich water supply requiring PID control is within its preset output range.

[0056] A hydrogen production capacity feedback score is calculated based on the preparation information. This score is based on indicators such as hydrogen production efficiency and equipment stability (for example, a high score indicates that the hydrogen production equipment is operating well and the supply of hydrogen-rich water is sufficient; a low score may indicate a malfunction). The scoring method can be generated by a preset algorithm (such as a weighted scoring model).

[0057] By combining the hydrogen production capacity feedback score with the demand constraints of the target crop at its current growth stage, it is determined whether the PID control output corresponding to the multi-liquid hydrogen-rich water supply requiring PID control is within the preset output range. The current growth stage is, for example, the seedling stage or the mature seedling stage. In specific applications, the seedling stage can also be divided into multiple stages (e.g., seedling stage one, seedling stage two) according to the crop's growth cycle. This application does not restrict this, and each stage can be considered to correspond to a demand constraint.

[0058] In practical applications, hydrogen production capacity is used as a health indicator. A low score may reduce dependence on hydrogen-rich water, prioritizing adjustments to other environmental factors. The PID decision-making process employs multi-parameter collaborative logic—crop demand constraints (such as temperature and humidity requirements at different growth stages) ensure the control strategy adapts to the growth stage, avoiding overall imbalance caused by optimizing a single parameter. Compared to related technologies, this application directly uses demand constraints corresponding to the current growth stage for hydrogen production capacity assessment, meeting the high-precision, dynamic control requirements of seedling cultivation for environmental factors and achieving stability during the seedling cultivation stage.

[0059] S104, adjusts the corresponding execution device according to the PID control output within its preset output range to adjust the multi-liquid hydrogen-rich water supply for the target crop; if the PID control output exceeds the output range, generates a prompt message including the identification data of the target crop and sends it to the user equipment.

[0060] If the output is within this range, the corresponding actuator (such as a water pump) will be regulated according to the PID control output, thereby adjusting the supply of multi-liquid hydrogen-rich water to the target crop to meet the crop's growth needs. If the PID control output exceeds the preset output range, a prompt message containing the target crop identification data will be generated and sent to the user's device (such as sending an app message to the user's mobile phone) to remind the user to pay attention and take appropriate measures.

[0061] Therefore, this embodiment, through the synergy of environmental perception and hydrogen-rich water status assessment, can precisely adjust the supply of multi-liquid hydrogen-rich water according to the growth stage requirements of the target crop and the actual hydrogen production capacity of the hydrogen production equipment, thereby providing the crop with a suitable water and hydrogen environment, which is conducive to the healthy growth of the crop and improves the yield and quality of the crop.

[0062] Meanwhile, the above embodiments also take into account the time-sensitivity of the growth stages provided by seedling cultivation, while the environmental factor data do not change so frequently. First, a basic judgment is made on the environmental factor data before obtaining hydrogen production data, and then the latest demand constraints of the current growth stage are obtained for subsequent judgment. In this way, it can be ensured that the obtained data matches the actual growth status of the seedlings, thereby providing a reliable basis for subsequent precise control, realizing efficient management and optimization of the seedling cultivation process, meeting the specific needs of seedlings for environmental conditions and material supply at different growth stages, ensuring the healthy growth and development of seedlings, and improving the success rate and quality of seedling cultivation.

[0063] Compared to the traditional single-factor PID control used in related technologies, the technical solution provided in this embodiment first assesses the safety of environmental factors before adjusting the hydrogen-rich water supply. Subsequent operations are only performed when the environment is safe, avoiding improper regulation of the hydrogen-rich water supply to crops under adverse conditions. This meets the actual hydrogen production capacity and the dynamic needs of crops at different growth stages for different types of hydrogen-rich water (such as disinfection-type acidic water, development-type neutral water, and yield-increasing alkaline water), thereby ensuring the safe and stable operation of the entire soilless cultivation system and reducing the risk of system failure or crop damage.

[0064] See Figure 2 In some embodiments, the multi-liquid hydrogen-rich water preparation device includes multiple storage tanks and a liquid pump, wherein the liquid pump is used to introduce liquid hydrogen-rich water from one of the storage tanks into the water-requiring area of ​​the target crop through a pipeline.

[0065] The method further includes: S105, performing a liquid shortage judgment on the currently operating storage tank in the multi-liquid hydrogen-rich water preparation equipment.

[0066] The multi-liquid hydrogen-rich water preparation equipment consists of multiple storage tanks and liquid pumps. The liquid pumps deliver liquid hydrogen-rich water from one storage tank to the water-requiring area of ​​the target crop through pipelines, thus supplying hydrogen-rich water to the target crop. During the judgment and adjustment of the PID control output, if the number of PID control outputs exceeding the output range reaches a preset threshold, indicating a trend of abnormal hydrogen-rich water supply, a liquid shortage judgment is performed on the currently operating storage tank in the multi-liquid hydrogen-rich water preparation equipment. The purpose is to determine whether the abnormal PID control output is caused by a liquid shortage in the storage tank, so that targeted measures can be taken subsequently.

[0067] Therefore, by performing a liquid shortage judgment on the currently operating storage tank when the number of PID control outputs exceeding the output range reaches a preset threshold, the potential problem of whether the storage tank is short of liquid can be detected in time. This avoids continuous abnormal hydrogen-rich water supply regulation due to the storage tank being short of liquid, which could lead to greater failures in the entire soilless cultivation system or adverse effects on the growth of the target crop, thereby improving the reliability and stability of the system.

[0068] When the PID control output is abnormal, this step can help to accurately locate whether the cause of the abnormality is a lack of liquid in the storage tank. This helps to take more targeted measures, such as timely replenishment of the liquid hydrogen-rich water in the storage tank, to ensure that the supply of hydrogen-rich water is restored to normal and to protect the normal growth environment of the target crop.

[0069] See Figure 3 In some embodiments, the fluid deficiency determination includes:

[0070] S201. Identify the type of liquid hydrogen-rich water in the storage tank. The types include disinfection-type acidic water, development-type neutral water, and production-enhancing alkaline water.

[0071] S202. For the identified liquid type, a PID algorithm is used to calculate and output the corresponding liquid to the cultivation area in order to maintain the nutrient solution concentration and the target dissolved hydrogen amount.

[0072] Based on the identified liquid type, a PID algorithm is used to calculate and output the corresponding type of hydrogen-rich liquid water to the cultivation area. The PID algorithm can adjust the output in real time according to the set nutrient solution concentration and target dissolved hydrogen amount to maintain the nutrient solution concentration and target dissolved hydrogen amount within a suitable range, meeting the needs of the target crop for different types of hydrogen-rich water at different growth stages.

[0073] S203. When the PID control output reaches the specified maximum output and continues to exceed the set number of liquid shortage judgment cycles, detect the changes in nutrient solution concentration and target dissolved hydrogen amount: determine whether the current storage tank is short of liquid based on the changes.

[0074] When the PID control output reaches the specified maximum output, and this situation continues for more than the set number of liquid shortage judgment cycles, the changes in nutrient solution concentration and target dissolved hydrogen content are monitored. By monitoring the changes in these two key indicators, it is determined whether the storage tank is currently low on liquid. If the changes in nutrient solution concentration and target dissolved hydrogen content exceed a certain range or meet the preset conditions for liquid shortage, it can be determined that the storage tank is currently low on liquid.

[0075] For obtaining nutrient solution concentration and target dissolved hydrogen content, corresponding sensing devices include, for example, nutrient solution concentration sensors (substrate concentration meters), used to monitor the nutrient solution concentration in the cultivation substrate. These sensors are installed in direct contact with the nutrient solution or cultivation substrate, outputting values ​​such as conductivity and ion concentration. Other devices include hydrogen concentration sensors (hydrogen-rich water monitoring devices), used to detect the dissolved hydrogen content in the nutrient solution. Irrigation rate sensors are also included to measure the nutrient solution supply rate and can monitor changes in the liquid level in the storage tank to calculate the irrigation amount.

[0076] S204. Once a liquid shortage is detected, the PID integral term is cleared, the system switches to the next storage tank of the same type, and the number of switches is accumulated.

[0077] Once a low-liquidity tank is detected, the PID integral term is immediately reset to zero to eliminate accumulated errors in the PID controller under low-liquidity conditions, preventing adverse effects on subsequent control. Then, the system switches to another tank of the same type to continue supplying the required type of liquid hydrogen-rich water to the cultivation area, ensuring a normal growth environment for the target crop. Simultaneously, accumulating the number of switching operations helps record and statistically analyze information such as tank usage and the frequency of low-liquidity occurrences.

[0078] Therefore, by identifying the type of liquid hydrogen-rich water and controlling the output of the corresponding liquid using a PID algorithm, the system can accurately supply the appropriate type of hydrogen-rich water according to the different growth stages of different target crops, requiring acidic water for disinfection, neutral water for development, and alkaline water for yield enhancement. This maintains suitable nutrient solution concentration and target dissolved hydrogen content, creating optimal growth conditions for crops and improving crop yield and quality. When the PID control output reaches its maximum and continues to exceed the set number of cycles, changes in nutrient solution concentration and target dissolved hydrogen content are detected to determine if there is a shortage of water. This allows for timely detection of water shortages in the storage tanks, preventing insufficient or interrupted supply of hydrogen-rich water to the cultivation area, which could affect the normal growth of the target crops and ensure the stable operation of the soilless cultivation system. Operations such as clearing the PID integral term, switching to the same type of storage tank, and accumulating the number of switches enable rapid response to water shortages, ensuring the continuity of hydrogen-rich water supply. Simultaneously, accumulating the number of switches helps to understand the usage status of the storage tanks, facilitating timely replenishment or replacement of tanks with insufficient water, further improving the stability and reliability of the entire soilless cultivation system.

[0079] See Figure 4In some embodiments, the fluid deficiency determination further includes:

[0080] S205. When the number of switching times equals the total number of storage tanks of the same type, force a return to the first storage tank and execute S202 again. If the first storage tank is short of liquid again, it is determined that all storage tanks are short of liquid, maintain the maximum output, and continuously check whether to replace it with a full storage tank. If the replacement is completed within the set time, the PID integral term is cleared and S202 is returned. If it is not replaced, the liquid output is stopped and a prompt message containing the target crop identifier is sent to the user equipment.

[0081] After handling the liquid shortage and accumulating the switching count, it is determined whether the switching count is equal to the total number of storage tanks of the same type. If it is equal, it means that all storage tanks of this type have been tried once. At this time, it is forced to return to the first storage tank and execute S202 again, that is, to restart the operation of outputting the corresponding liquid hydrogen-rich water for the first storage tank using PID control.

[0082] If the first storage tank is found to be low on liquid again, all storage tanks are deemed low on liquid. In this case, maintain maximum output and continuously monitor whether to replace with full storage tanks. This step is to maintain a certain output of hydrogen-rich water as much as possible even when all storage tanks are low on liquid, while waiting for manual intervention to maintain the storage tanks.

[0083] If the full liquid storage tank is replaced within the set time, the PID integral term is cleared and the process returns to S202, restarting the normal PID control output corresponding to the liquid hydrogen-rich water process. If the full liquid storage tank is not replaced within the set time, liquid output is stopped to avoid equipment failure or adverse effects on the target crop due to continuous liquid shortage. A prompt message containing the target crop identifier is sent to the user's equipment to remind the user to handle the situation promptly.

[0084] Therefore, by forcibly returning to the first storage tank and re-executing operation S202, and by maintaining maximum output and continuously monitoring replacement status when all storage tanks are found to be low on liquid, downtime caused by liquid shortages is reduced, ensuring a relatively stable growth environment for the target crop. When the number of switching operations equals the total number of storage tanks of the same type, storage tank resources can be promptly reorganized and allocated, avoiding chaos or malfunction when multiple storage tanks are low on liquid. Simultaneously, the detection and corresponding operations for replacing full storage tanks help to rationally utilize storage tank resources and ensure the timely restoration of hydrogen-rich water supply. Upon determining that all storage tanks are low on liquid, a prompt message containing the target crop identifier is sent to the user equipment, promptly notifying management personnel to perform storage tank replacement operations, avoiding the tedious work of frequent manual inspections of storage tanks and reducing manual management costs. Stopping liquid output without timely replacement of the full liquid storage tank avoids equipment failure or damage to the target crop due to continuous liquid shortage. For example, excessive extraction of hydrogen-rich water from the low-liquid storage tank may damage equipment such as the liquid pump, or insufficient supply may affect the normal growth of the target crop or even cause crop death, thus protecting the safety of the equipment and the crop.

[0085] In some embodiments, determining whether the current storage tank is low on liquid based on the change includes:

[0086] If the liquid is acidic or neutral water, and the real-time values ​​of nutrient solution concentration and target dissolved hydrogen amount have not increased by the corresponding percentage relative to the minimum value stored, then the current storage tank is determined to be short of liquid.

[0087] If the liquid is alkaline water, and the real-time values ​​of the nutrient solution concentration and the target dissolved hydrogen amount have not decreased by the corresponding percentage relative to the maximum value stored, then the current storage tank is determined to be short of liquid.

[0088] Therefore, by setting specific judgment conditions for different types of liquid hydrogen-rich water, it is possible to more accurately determine whether the storage tank is low on liquid. This avoids misjudgments or omissions caused by differences in liquid type, improves the accuracy of identifying liquid shortages, and ensures timely implementation of appropriate measures. Considering the different roles of acidic, neutral, and alkaline water in hydroponics and their impact on nutrient solution concentration and dissolved hydrogen, judgment methods suitable for their characteristics are adopted for each. This targeted design allows the system to better adapt to the supply needs of different types of liquid hydrogen-rich water, ensuring the stability of the target crop's growth environment.

[0089] In some embodiments, obtaining a hydrogen production capacity feedback score based on the preparation information includes: obtaining a preset water supply strategy corresponding to the target crop; and generating a hydrogen production capacity feedback score based on the preset multi-liquid hydrogen-rich water supply strategy and the preparation information.

[0090] The preset water supply strategy is pre-set based on the target crop's growth requirements, growth stage, and hydroponics environment. It guides the supply of multi-liquid hydrogen-rich water, including parameters such as the supply volume and frequency of different types of hydrogen-rich water. The preset multi-liquid hydrogen-rich water supply strategy is compared and analyzed with actual preparation information obtained from the multi-liquid hydrogen-rich water preparation equipment. The preparation information reflects the hydrogen production data of the equipment for the target crop in the most recent data collection cycle, such as the amount of hydrogen-rich water produced and the dissolved hydrogen content. Based on certain evaluation rules and the actual performance of the preparation information, a hydrogen production capacity feedback score is generated. This score is used to quantitatively evaluate whether the hydrogen production capacity of the equipment meets the needs of the target crop.

[0091] The evaluation rules include, for example, the following: Preparation volume deviation assessment, which calculates the percentage deviation between the actual preparation volume and the preset water supply volume. If the actual preparation volume reaches or exceeds 90%-100% of the preset volume, the score for the preparation volume dimension is 100 points; if it is between 80%-90%, the score is 80 points; between 70%-80%, the score is 60 points; between 60%-70%, the score is 40 points; and below 60%, the score is 20 points. Dissolved hydrogen volume deviation assessment, which compares the actual dissolved hydrogen volume with the preset dissolved hydrogen volume. If the actual dissolved hydrogen volume reaches or exceeds 95%-100% of the preset dissolved hydrogen volume, the score for the dissolved hydrogen volume dimension is 100 points; between 90%-95%, the score is 85 points; between 85%-90%, the score is 75 points; between 80%-85%, the score is 65 points; and below 80%, the score is 50 points. The hydrogen production capacity feedback score can be a simple arithmetic mean of the preparation volume score and the dissolved hydrogen volume score, or a weighted average based on the weights of both. For example, if the production quantity has a weight of 60% and the dissolved hydrogen quantity has a weight of 40%, then the comprehensive score is: Hydrogen production capacity feedback score = production quantity score × 60% + dissolved hydrogen quantity score × 40%.

[0092] Therefore, by combining preset water supply strategies with preparation information to generate a hydrogen production capacity feedback score, the performance of hydrogen production equipment can be presented in a quantitative way. This helps to intuitively understand whether the hydrogen production equipment can meet the target crop's demand for hydrogen-rich water, facilitating the timely identification of problems such as insufficient or excessive hydrogen production capacity, and providing a basis for subsequent adjustments and optimizations. The hydrogen production capacity feedback score reflects the degree of matching between the hydrogen production equipment and the target crop's needs. Based on the score results, the supply of multi-liquid hydrogen-rich water can be optimized and adjusted, such as adjusting the operating parameters of the hydrogen production equipment and optimizing the water supply strategy, thereby improving the accuracy and effectiveness of water supply management and ensuring that the target crop receives a suitable supply of hydrogen-rich water at different growth stages. Accurate hydrogen production capacity feedback scores help the entire hydroponics system better coordinate the relationship between hydrogen production equipment and crop needs.

[0093] As an example, the PID control is a high-altitude adaptive fuzzy PID control, which includes: real-time acquisition of system input signals and altitude information under high-altitude conditions, wherein the system input signals include system error signals and error rate of change signals; determining initial values ​​of PID control parameters based on the system input signals and preset fuzzy rules; performing altitude compensation calculations on the PID control parameters using the altitude information to obtain compensated PID control parameters; and controlling the controlled object based on the compensated PID control parameters.

[0094] In high-altitude environments, various high-precision sensors are used to collect system input signals in real time, including error signals and error rate of change signals. Simultaneously, barometric pressure sensors or altimeters are used to acquire altitude information, converting physical quantities into electrical signals and transmitting them to the signal processing unit of the control system. The collected error signals and error rate of change signals are used as inputs to the fuzzy controller. Based on preset fuzzy rules, these input signals are fuzzified, converting precise numerical values ​​into fuzzy linguistic variables such as "positive large," "positive small," "zero," "negative small," and "negative large." Subsequently, using a fuzzy inference mechanism, the initial values ​​of the PID control parameters (proportional coefficient Kp, integral time constant Ti, and derivative time constant Td) are derived according to rules in the fuzzy rule base. The fuzzy rule base is pre-established based on expert experience or system identification methods, defining the fuzzy correspondence between input signals and the initial values ​​of PID parameters.

[0095] Considering the impact of altitude on system performance in high-altitude environments, the acquired altitude information is used to compensate for the initial values ​​of the PID control parameters. For example, a mapping model can be established to describe the relationship between altitude and PID parameter compensation. This model can be obtained through experimental calibration or theoretical analysis. Based on the current altitude, the corresponding compensation amount is found or calculated in the mapping model, and then added to the initial Kp, Ti, and Td respectively to obtain the compensated PID control parameters. For instance, as altitude increases, air density decreases, which may slow down the system's dynamic characteristics. Therefore, Kp is appropriately increased to enhance the system's response speed, while Ti and Td are adjusted to maintain the system's stability and accuracy.

[0096] Therefore, by introducing fuzzy control, the nonlinearity, time-varying nature, and uncertainty of systems in high-altitude environments can be effectively addressed. Fuzzy control does not rely on precise mathematical models but is based on expert experience and system operating data. It can quickly adapt to changes in system characteristics, ensuring that PID control parameters maintain optimal control performance under different operating conditions.

[0097] In some embodiments, the preset fuzzy rules include: fuzzifying the system input signal to determine its corresponding fuzzy linguistic variables; and determining the initial values ​​of the PID control parameters through fuzzy inference based on the fuzzy linguistic variables.

[0098] For a system input signal (such as the error signal e and the error rate of change signal de / dt), a series of discrete points are defined within the universe of discourse (i.e., the range of signal values) to represent the fuzzy set. For example, the universe of discourse of the error signal e is divided into multiple intervals, such as fuzzy sets like "negative large" (NB), "negative small" (NS), "zero" (ZO), "positive small" (PS), and "positive large" (PB). Each set corresponds to a certain interval range, and these intervals may overlap to reflect the fuzziness.

[0099] In practical applications, a membership function is defined for each fuzzy set to describe the degree of membership of the input signal to each fuzzy set. Membership functions can be, for example, triangular, trapezoidal, or Gaussian membership functions. Taking the triangular membership function as an example, for the "zero" (ZO) fuzzy set of the error signal e, its membership function might be a symmetrical triangular curve centered at e=0 within a certain range. The membership degree is 1 at e=0, and gradually decreases to 0 as e deviates from 0. Through membership functions, the precise error signal e and the error rate of change signal de / dt can be converted into membership values ​​to various fuzzy sets, thereby achieving signal fuzzification—that is, converting a quantitative signal into a variable with fuzzy semantics.

[0100] Once the fuzzified input signal (i.e., fuzzy linguistic variables) is determined, fuzzy inference is performed according to the rules in the fuzzy rule base. This is typically achieved using fuzzy implication relations and inference synthesis methods. For example, for each applicable fuzzy rule (i.e., the premise of the rule matches the fuzzy set of the current input signal), the membership degree of the rule's conclusion to the adjustment amount of each PID parameter is determined using fuzzy implication relations, based on the membership degree of the input signal to the rule's premise. Then, the conclusions of all applicable rules are synthesized to obtain a comprehensive fuzzy adjustment result for the initial values ​​of the PID control parameters. This process is equivalent to comprehensively considering the influence of multiple expert rules on the PID parameters, forming a comprehensive fuzzy control decision.

[0101] Therefore, considering that traditional PID controller parameter tuning often requires extensive experimentation and experience accumulation, especially in complex high-altitude environments where parameter tuning is even more difficult, the method of determining the initial values ​​of PID control parameters using fuzzy rules transforms the parameter tuning problem into a problem of fuzzy rule formulation and optimization. By adjusting fuzzy rules and membership functions, a relatively reasonable set of initial PID parameter values ​​can be obtained more intuitively and efficiently, significantly shortening the controller design cycle and debugging time, and improving the development efficiency of the control system. This embodiment, through fuzzification processing, can incorporate uncertainties (such as sensor noise, model errors, etc.) and nonlinear characteristics contained in the system input signal. The definition of fuzzy sets and membership functions gives the controller a certain tolerance to changes in the input signal, preventing excessive control deviations due to small signal fluctuations or nonlinear distortions, thus improving the robustness of the control system and enabling it to maintain good control performance even in complex high-altitude environments (such as changes in temperature and air pressure that alter system characteristics). The establishment of the fuzzy rule base fully integrates expert experience and human qualitative understanding of the system, transforming control knowledge that is difficult to describe with precise mathematical models into executable control rules. This enables the controller to make reasonable control decisions based on the fuzzy state information of the system, just like a human expert, without relying on a precise mathematical model of the system. This broadens the methods and application scenarios for control system design, and is especially suitable for the control of complex, multivariable, and strongly coupled agricultural engineering systems such as hydroponics in high-altitude areas.

[0102] In some embodiments, the altitude compensation calculation includes: establishing a mapping relationship between altitude and PID control parameter compensation amount; calculating the compensation amount of the PID control parameters based on the mapping relationship and current altitude information; and adding the compensation amount to the initial PID control parameters to obtain the compensated PID control parameters.

[0103] By considering the impact of altitude on system characteristics and establishing a mapping relationship and performing compensation calculations, the PID control parameters can be automatically adjusted to a more suitable state as altitude changes. In high-altitude areas, environmental factors such as atmospheric pressure, temperature, and air density change with increasing altitude, affecting the system's dynamic characteristics and control performance. Altitude compensation calculations can accurately compensate for these changes, ensuring that the control system maintains good control performance at different altitudes. This effectively solves the problems of decreased control accuracy and reduced stability caused by environmental changes in traditional PID control at high altitudes.

[0104] In practical applications, the compensationd PID control parameters are also limited to ensure that they are within a reasonable range.

[0105] As an example, a multi-parameter collaborative control method for intelligent soilless cultivation in plateau greenhouses is provided for seedling cultivation, where the target crop is currently in the second stage of seedling growth.

[0106] The method includes:

[0107] Acquire environmental information, which includes environmental factor data of the target crop in hydroponics obtained using sensing devices;

[0108] When all environmental factor data in the environmental information meet their corresponding basic safety standards, preparation information is obtained from the multi-liquid hydrogen-rich water preparation equipment. The preparation information includes hydrogen production data for the target crop in the most recent collection cycle. The multi-liquid hydrogen-rich water preparation equipment includes multiple storage tanks and liquid pumps. The liquid pumps are used to introduce liquid hydrogen-rich water from one of the storage tanks into the water-requiring area of ​​the target crop through pipelines.

[0109] Obtain the preset water supply strategy corresponding to the target crop; generate a hydrogen production capacity feedback score based on the preset multi-liquid hydrogen-rich water supply strategy and the preparation information; determine whether the PID control output corresponding to the multi-liquid hydrogen-rich water supply that requires PID control is within its preset output range based on the hydrogen production capacity feedback score and the demand constraints of the target crop at the current growth stage.

[0110] The corresponding actuator is adjusted according to the PID control output within its preset output range to regulate the supply of multi-liquid hydrogen-rich water to the target crop; if the PID control output exceeds the output range, a prompt message including the identification data of the target crop is generated and sent to the user equipment.

[0111] A liquid shortage check is performed on the currently operating storage tank in the multi-liquid hydrogen-rich water preparation equipment. The liquid shortage check includes:

[0112] S1. Identify the type of liquid hydrogen-rich water in the storage tank. The types include disinfection-type acidic water, development-type neutral water, and production-enhancing alkaline water.

[0113] S2. For the identified liquid type, the PID algorithm is used to calculate and output the corresponding liquid to the cultivation area to maintain the nutrient solution concentration and target dissolved hydrogen amount;

[0114] S3. When the PID control output reaches the specified maximum output and continues to exceed the set number of liquid shortage judgment cycles, detect the change in nutrient solution concentration and target dissolved hydrogen amount: if the liquid is acidic water or neutral water, and the real-time values ​​of nutrient solution concentration and target dissolved hydrogen amount have not increased by the corresponding percentage relative to the stored minimum value, then it is determined that the current storage tank is short of liquid.

[0115] If the liquid is alkaline water, and the real-time values ​​of the nutrient solution concentration and the target dissolved hydrogen amount have not decreased by the corresponding percentage relative to the maximum value stored, then the current storage tank is determined to be short of liquid.

[0116] S4. Once a liquid shortage is detected, the PID integral term is cleared, the system switches to the next storage tank of the same type, and the number of switches is accumulated.

[0117] S5. When the number of switching times equals the total number of storage tanks of the same type, force a return to the first storage tank and execute S2 again; if the first storage tank is short of liquid again, determine that all storage tanks are short of liquid, maintain the maximum output and continuously check whether to replace with a full storage tank: if the replacement is completed within the set time, clear the PID integral term and return to S2; if not replaced, stop the liquid output and send a prompt message containing the target crop identifier to the user equipment.

[0118] In related technologies, the supply and control of hydrogen-rich water are typically based on fixed water supply strategies, failing to fully consider the actual hydrogen production capacity of the hydrogen production equipment. Furthermore, adjustments are not made based on the dynamic needs of crops at different growth stages for different types of hydrogen-rich water (such as disinfectant acidic water, growth-promoting neutral water, and yield-enhancing alkaline water). The lack of real-time feedback and optimization mechanisms for hydrogen-rich water supply may lead to insufficient or excessive supply, affecting crop health and even wasting resources. In other words, traditional soilless cultivation systems have shortcomings in environmental perception and equipment coordination.

[0119] The objective of this application is achieved through the following technical solution:

[0120] Environmental safety assessment involves evaluating the safety of environmental factors before adjusting the hydrogen-rich water supply. Subsequent operations are only carried out when all environmental data meet basic safety standards. This avoids improper hydrogen-rich water supply regulation in adverse environments, ensuring the safe and stable operation of the entire soilless cultivation system and reducing the risk of system failure or crop damage. Furthermore, considering the time-sensitive nature of growth stages provided by seedling cultivation, while environmental factors do not change as frequently, a basic assessment of environmental factors is performed before acquiring hydrogen production data. This allows for the acquisition of the latest requirements and constraints for the current growth stage, ensuring the acquired data matches the actual growth status of the seedlings. This provides a reliable basis for subsequent precise control, enabling efficient management and optimization of the seedling cultivation process. This meets the specific environmental and material supply needs of seedlings at different growth stages, ensuring healthy growth and development, and improving the success rate and quality of seedling cultivation.

[0121] Multi-parameter collaborative control involves real-time collection of environmental factor data (such as temperature, humidity, light intensity, and carbon dioxide concentration) through environmental sensing devices, combined with preparation information from multi-liquid hydrogen-rich water preparation equipment (such as hydrogen production data and hydrogen-rich water type). A PID control algorithm is then used to dynamically adjust the supply of multi-liquid hydrogen-rich water, achieving coordinated regulation of multiple environmental factors. This allows for dynamic adjustment of the hydrogen-rich water supply according to the needs of crops at different growth stages, avoiding problems of insufficient or excessive hydrogen-rich water supply and improving crop yield and quality.

[0122] The liquid shortage detection and handling system detects changes in nutrient solution concentration and target dissolved hydrogen content to determine if the storage tank is low on liquid. Upon detection of a shortage, the PID integral term is reset, and the system switches to a storage tank of the same type, accumulating the number of switches. This allows for timely detection of liquid shortages, preventing insufficient or interrupted supply of hydrogen-rich water to the cultivation area and ensuring the stable operation of the soilless cultivation system. The hydrogen production capacity feedback score generates a score based on preparation information and a preset water supply strategy. This quantitatively evaluates the performance of the hydrogen production equipment, providing a clear understanding of whether it can meet the target crop's demand for hydrogen-rich water. It facilitates the timely detection of insufficient or excessive hydrogen production capacity, providing a basis for subsequent adjustments and optimizations.

[0123] Example 2.

[0124] This embodiment provides a control method for intelligent soilless cultivation in a plateau greenhouse. The specific embodiment and the technical effects achieved are the same as those described in Embodiment 1 above, and some details will not be repeated.

[0125] The method includes:

[0126] Using the multi-parameter collaborative control method described in any one of Embodiment 1, prompt information for each target crop is obtained;

[0127] The target crops that did not receive the prompt message are regarded as qualified crops. According to the preset water supply strategy corresponding to the qualified crops, the multi-liquid hydrogen-rich water of the corresponding specifications generated by the multi-liquid hydrogen-rich water preparation equipment is delivered to the water-requiring area of ​​the qualified crops. The liquid specifications of the multi-liquid hydrogen-rich water include disinfection acidic water, development neutral water and yield-increasing alkaline water.

[0128] The preset water supply strategy includes: obtaining water demand type information of the water demand area, and switching the water supply liquid state of the water demand area according to the liquid state specification and water supply time in the water demand type information.

[0129] Example 3.

[0130] See Figure 5This embodiment provides a multi-parameter collaborative control system for intelligent soilless cultivation in a plateau greenhouse. Its specific implementation and the achieved technical effects are consistent with the embodiment described in Embodiment 1 above, and some details will not be repeated here. The system includes:

[0131] The first information acquisition module is used to acquire environmental information, which includes environmental factor data of the target crop in hydroponics obtained by using sensing devices; the environmental factor data includes nutrient solution concentration, hydrogen content and irrigation amount.

[0132] The second information acquisition module is used to acquire preparation information from the multi-liquid hydrogen-rich water preparation equipment when all environmental factor data in the environmental information meet their corresponding basic safety standards. The preparation information includes hydrogen production data for the target crop in the most recent collection cycle.

[0133] The scoring acquisition module is used to acquire a hydrogen production capacity feedback score based on the preparation information; and to determine whether the PID control output corresponding to each environmental factor data that requires PID control in the environmental information is within its preset output range based on the hydrogen production capacity feedback score and the demand constraints of the target crop at the current growth stage.

[0134] The information sending module is used to adjust the corresponding execution device according to the PID control output within its preset output range, so as to adjust the environmental factor data of the target crop; if the number of PID control outputs exceeding the output range reaches a preset threshold, a prompt message including the identification data of the target crop is generated and sent to the user equipment.

[0135] In some embodiments, the multi-liquid hydrogen-rich water preparation device includes multiple storage tanks and a liquid pump, wherein the liquid pump is used to introduce liquid hydrogen-rich water from one of the storage tanks into the water-required area of ​​the target crop through a pipeline;

[0136] The system also includes:

[0137] The liquid shortage detection module is used to perform a liquid shortage detection on the currently operating storage tank in the multi-liquid hydrogen-rich water preparation equipment.

[0138] In some embodiments, the fluid deficiency determination includes:

[0139] S1. Identify the type of liquid hydrogen-rich water in the storage tank. The types include disinfection-type acidic water, development-type neutral water, and production-enhancing alkaline water.

[0140] S2. For the identified liquid type, the PID algorithm is used to calculate and output the corresponding liquid to the cultivation area to maintain the nutrient solution concentration and target dissolved hydrogen amount;

[0141] S3. When the PID control output reaches the specified maximum output and continues to exceed the set number of liquid shortage judgment cycles, detect the change in nutrient solution concentration and target dissolved hydrogen amount: determine whether the current storage tank is short of liquid based on the change.

[0142] S4. Once a liquid shortage is detected, the PID integral term is cleared, the system switches to the next storage tank of the same type, and the number of switches is accumulated.

[0143] In some embodiments, determining whether the current storage tank is low on liquid based on the change includes:

[0144] If the liquid is acidic or neutral water, and the real-time values ​​of nutrient solution concentration and target dissolved hydrogen amount have not increased by the corresponding percentage relative to the minimum value stored, then the current storage tank is determined to be short of liquid.

[0145] If the liquid is alkaline water, and the real-time values ​​of the nutrient solution concentration and the target dissolved hydrogen amount have not decreased by the corresponding percentage relative to the maximum value stored, then the current storage tank is determined to be short of liquid.

[0146] In some embodiments, the fluid deficiency determination further includes:

[0147] S5. When the number of switching times equals the total number of storage tanks of the same type, force a return to the first storage tank and execute S2 again; if the first storage tank is short of liquid again, determine that all storage tanks are short of liquid, maintain the maximum output and continuously check whether to replace with a full storage tank: if the replacement is completed within the set time, clear the PID integral term and return to S2; if not replaced, stop the liquid output and send a prompt message containing the target crop identifier to the user equipment.

[0148] In some embodiments, the scoring acquisition module acquires a hydrogen production capacity feedback score based on the preparation information, which includes: acquiring a preset water supply strategy corresponding to the target crop; and generating a hydrogen production capacity feedback score based on the preset multi-liquid hydrogen-rich water supply strategy and the preparation information.

[0149] It should be noted that in the embodiments of this application, "at least one" refers to one or more, and "more than one" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can represent: a, b, c, a and b, a and c, b and c, or a and b and c, where a, b, and c can be single or multiple. It is worth noting that "at least one" can also be interpreted as "one or more".

[0150] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this application are configured to distinguish similar objects and are not necessarily configured to describe a particular order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0151] This application describes the invention from the perspectives of purpose, performance, progress, and novelty, and it meets the functional enhancement and use requirements emphasized by the Patent Law. The above description and drawings are merely preferred embodiments of this application and are not intended to limit this application. Therefore, all structures, devices, features, etc., that are similar to or identical to those of this application, i.e., all equivalent substitutions or modifications made in accordance with the scope of this patent application, shall fall within the scope of protection of this patent application.

Claims

1. A multi-parameter collaborative control method for intelligent soilless cultivation in plateau greenhouses, characterized in that, The method includes: Acquire environmental information, which includes environmental factor data of the target crop in hydroponics obtained using sensing devices; When all environmental factor data in the environmental information meet their corresponding basic safety standards, preparation information is obtained from the multi-liquid hydrogen-rich water preparation equipment. The preparation information includes hydrogen production data for the target crop in the most recent collection cycle. Based on the preparation information, a hydrogen production capacity feedback score is obtained; based on the hydrogen production capacity feedback score and the demand constraints of the target crop at the current growth stage, it is determined whether the PID control output corresponding to the multi-liquid hydrogen-rich water supply requiring PID control is within its preset output range. The corresponding actuator is adjusted according to the PID control output within its preset output range to regulate the supply of multi-liquid hydrogen-rich water to the target crop; if the PID control output exceeds the output range, a prompt message including the identification data of the target crop is generated and sent to the user equipment.

2. The multi-parameter cooperative control method according to claim 1, characterized in that, The multi-liquid hydrogen-rich water preparation equipment includes multiple storage tanks and a liquid pump. The liquid pump is used to introduce the liquid hydrogen-rich water in one of the storage tanks into the water-requiring area of ​​the target crop through pipelines. The method further includes: performing a liquid shortage judgment on the currently operating storage tank in the multi-liquid hydrogen-rich water preparation equipment.

3. The multi-parameter cooperative control method according to claim 2, characterized in that, The determination of fluid deficiency includes: S1. Identify the type of liquid hydrogen-rich water in the storage tank. The types include disinfection-type acidic water, development-type neutral water, and production-enhancing alkaline water. S2. For the identified liquid type, the PID algorithm is used to calculate and output the corresponding liquid to the cultivation area to maintain the nutrient solution concentration and target dissolved hydrogen amount; S3. When the PID control output reaches the specified maximum output and continues to exceed the set number of liquid shortage judgment cycles, detect the change in nutrient solution concentration and target dissolved hydrogen amount: determine whether the current storage tank is short of liquid based on the change. S4. Once a liquid shortage is detected, the PID integral term is cleared, the system switches to the next storage tank of the same type, and the number of switches is accumulated.

4. The multi-parameter coordinated control method according to claim 3, characterized in that, Determining whether the storage tank is currently low on liquid based on the change in volume includes: If the liquid is acidic or neutral water, and the real-time values ​​of nutrient solution concentration and target dissolved hydrogen amount have not increased by the corresponding percentage relative to the minimum value stored, then the current storage tank is determined to be short of liquid. If the liquid is alkaline water, and the real-time values ​​of the nutrient solution concentration and the target dissolved hydrogen amount have not decreased by the corresponding percentage relative to the maximum value stored, then the current storage tank is determined to be short of liquid.

5. The multi-parameter coordinated control method according to claim 4, characterized in that, The fluid deficiency assessment also includes: S5. When the number of switching times equals the total number of storage tanks of the same type, force a return to the first storage tank and execute S2 again; if the first storage tank is short of liquid again, determine that all storage tanks are short of liquid, maintain the maximum output and continuously check whether to replace with a full storage tank: if the replacement is completed within the set time, clear the PID integral term and return to S2; if not replaced, stop the liquid output and send a prompt message containing the target crop identifier to the user equipment.

6. The multi-parameter cooperative control method according to claim 1, characterized in that, The step of obtaining a hydrogen production capacity feedback score based on the preparation information includes: Obtain the preset water supply strategy corresponding to the target crop; generate a hydrogen production capacity feedback score based on the preset multi-liquid hydrogen-rich water supply strategy and the preparation information.

7. A control method for intelligent soilless cultivation in a plateau greenhouse, characterized in that, The method includes: Using the multi-parameter collaborative control method according to any one of claims 1-6, prompt information for each target crop is obtained; The target crops that did not receive the prompt message are regarded as qualified crops. According to the preset water supply strategy corresponding to the qualified crops, the multi-liquid hydrogen-rich water of the corresponding specifications generated by the multi-liquid hydrogen-rich water preparation equipment is delivered to the water-requiring area of ​​the qualified crops. The liquid specifications of the multi-liquid hydrogen-rich water include disinfection acidic water, development neutral water and yield-increasing alkaline water. The preset water supply strategy includes: obtaining water demand type information of the water demand area, and switching the water supply liquid state of the water demand area according to the liquid state specification and water supply time in the water demand type information.

8. A multi-parameter collaborative control system for intelligent soilless cultivation in a plateau greenhouse, characterized in that, The system includes: The first information acquisition module is used to acquire environmental information, which includes environmental factor data of the target crop in hydroponics obtained by using sensing devices. The second information acquisition module is used to acquire preparation information from the multi-liquid hydrogen-rich water preparation equipment when all environmental factor data in the environmental information meet their corresponding basic safety standards. The preparation information includes hydrogen production data for the target crop in the most recent collection cycle. The scoring acquisition module is used to acquire a hydrogen production capacity feedback score based on the preparation information; and to determine whether the PID control output corresponding to each environmental factor data that requires PID control in the environmental information is within its preset output range based on the hydrogen production capacity feedback score and the demand constraints of the target crop at the current growth stage. The information sending module is used to adjust the corresponding execution device according to the PID control output within its preset output range, so as to adjust the environmental factor data of the target crop; if the number of PID control outputs exceeding the output range reaches a preset threshold, a prompt message including the identification data of the target crop is generated and sent to the user equipment.

9. The multi-parameter cooperative control system according to claim 8, characterized in that, The multi-liquid hydrogen-rich water preparation equipment includes multiple storage tanks and a liquid pump. The liquid pump is used to introduce the liquid hydrogen-rich water in one of the storage tanks into the water-requiring area of ​​the target crop through pipelines. The system also includes a liquid shortage detection module, used to perform a liquid shortage detection on the currently operating storage tank in the multi-liquid hydrogen-rich water preparation equipment.

10. The multi-parameter cooperative control system according to claim 8, characterized in that, The scoring acquisition module obtains a hydrogen production capacity feedback score based on the preparation information, including: obtaining a preset water supply strategy corresponding to the target crop; and generating a hydrogen production capacity feedback score based on the preset multi-liquid hydrogen-rich water supply strategy and the preparation information.

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