A heat recovery greenhouse crop growth management intelligent regulation method and system

Abstract

The present application relates to the technical field of edge computing, in particular to a heat recovery greenhouse crop growth management intelligent regulation and control method and system, comprising the following steps: collecting greenhouse air and heat storage water temperature and converting equivalent heat, calculating the heat difference between air and water, determining whether the continuous heat transfer condition is met, generating heat transfer feasibility results, matching heat exchange intensity and heat storage power level, forming power control decision, calculating water pump duty cycle and valve opening, monitoring greenhouse temperature and outputting heat environment regulation and control state, in the present application, the equivalent heat conversion is completed through the specific heat parameters of air and water, the temperature judgment is converted into energy difference analysis, the continuous heat transfer condition of air and water is determined, invalid heat exchange is avoided, and the heat exchange intensity and heat storage power are matched according to the heat state, so that the energy allocation is more precise, and the water pump duty and valve proportion are used to control the heat exchange process, combined with temperature dynamic comparison, stable and efficient heat environment regulation and control is realized.

Description

Technical Field

[0001] This invention relates to the field of edge computing technology, and in particular to an intelligent control method and system for crop growth management in a heat recovery greenhouse. Background Technology

[0002] Edge computing technology involves offloading computational tasks such as data acquisition, analysis, and control decision-making from centralized computing nodes to embedded devices or field computing nodes closer to the data source. Its core aspects include local acquisition and preprocessing of multi-source sensing data, real-time computing mechanisms on edge nodes, on-site generation of computation results and control commands, and direct interaction with on-site execution objects. This technology typically achieves data analysis and decision-making locally by deploying embedded systems with computing capabilities on-site, thus forming an integrated processing method of sensing, computing, and control. It is widely used in industrial and agricultural scenarios with high requirements for real-time performance and continuity. Traditional greenhouse environmental control refers to controlling single or limited environmental parameters such as temperature and humidity within the greenhouse based on fixed thresholds or empirical rules. The technical issue it addresses is how to manage heat energy and adjust crop growth conditions according to changes in the greenhouse environment. Traditional methods typically rely on temperature sensors, humidity sensors, and light sensors to collect environmental data. An embedded controller then executes preset control logic or simple mathematical relationships locally to start, stop, or adjust parameters of actuators such as heating devices, ventilation devices, and heat storage units to adjust the environmental conditions. This type of method mainly processes single-point or limited data and lacks unified calculation of multimodal information and nonlinear relationship modeling. This constitutes the background technology basis for a heat recovery greenhouse crop growth management intelligent control method.

[0003] Traditional greenhouse environmental control often relies on a single temperature or a few environmental parameters for judgment in actual operation. The control logic is usually based on fixed thresholds or empirical rules. When environmental changes are continuous or nonlinear, it is difficult to accurately reflect the true heat state. This can easily lead to situations where equipment is frequently started and stopped even when the temperature is close to the threshold, resulting in increased energy consumption and equipment wear. At the same time, existing methods often treat air and heat storage units as independent objects, and control them based only on instantaneous temperature differences. They lack a quantitative understanding of the difference in heat capacity between air and water, which can lead to premature termination of the heat exchange process before heat is effectively transferred or forced operation under insufficient heat conditions. At the execution level, traditional control often uses on / off drive methods with coarse adjustment granularity. It cannot flexibly adjust the working status of water pumps and valves according to changes in heat exchange demand, which can easily cause greenhouse temperature fluctuations and affect the stability of crop growth. In addition, the control results often lack continuous comparison of temperature changes within the execution cycle and rely only on ex-post corrections, resulting in a lag in system response, which is particularly evident in scenarios with rapid changes in diurnal temperature differences or loads. Summary of the Invention

[0004] To address the technical problems existing in the prior art, embodiments of the present invention provide an intelligent control method and system for crop growth management in a heat recovery greenhouse, comprising the following steps:

[0005] To achieve the above objectives, the present invention adopts the following technical solution: an intelligent control method for crop growth management in a heat recovery greenhouse, comprising the following steps:

[0006] S1: Collect the air temperature in the greenhouse crop growth area and the water temperature in the hot water storage tank energy storage area, convert the equivalent heat to the air temperature and water temperature, calculate the difference between the equivalent heat of the air and the equivalent heat of the water, and form the state quantity of air-water heat difference.

[0007] S2: Based on the air-water heat difference state quantity, determine whether the conditions for continuous heat transfer between the greenhouse air layer and the water storage body are met, distinguish between the heat transfer to water body established state and the heat transfer restricted state, and generate a heat transfer feasibility result.

[0008] S3: Based on the heat transfer feasibility results, combined with the heat exchange requirements of the greenhouse heat exchange pipeline and the hot water storage tank, verify the corresponding heat exchange intensity level, and match the corresponding heat storage power control level to the intensity level to form the heat storage power control decision quantity.

[0009] S4: Based on the heat storage power control decision, for the heat exchange circuit formed by the heat storage tank and the greenhouse heat exchange pipeline, calculate the duty cycle of the circulating water pump and the opening ratio of the heat exchange solenoid valve, and generate a set of heat exchange execution parameters.

[0010] S5: Based on the set of heat exchange execution parameters, monitor the changes in air temperature in the greenhouse crop growth area during the heat exchange cycle, compare them with the target growth temperature range, and generate a greenhouse thermal environment control response status.

[0011] As a further aspect of the present invention, the air-water heat difference state quantity includes the air equivalent heat benchmark value, the water equivalent heat benchmark value, and the air-water heat difference index; the heat transfer feasibility judgment result includes the heat transfer to water body establishment indicator, the heat transfer restriction indicator, and the continuous transfer confidence index; the heat storage power control decision quantity includes the heat exchange intensity level, the water tank heat storage power control level, and the power adjustment priority; the heat exchange execution parameter set includes the circulating water pump operation duty ratio, the heat exchange solenoid valve opening ratio, and the heat exchange execution cycle parameter; the greenhouse thermal environment regulation response state includes the air temperature deviation, the target growth temperature range matching indicator, and the thermal environment regulation response trend.

[0012] As a further aspect of the present invention, the specific steps of S1 are as follows:

[0013] S101: Collect the air temperature of the air layer in the greenhouse crop growth area and the water temperature in the greenhouse hot water storage tank energy storage area, obtain the corresponding air temperature sampling value and water temperature sampling value at the time, form a temperature data comparison set at the same time scale based on the collection results, and generate an air and water temperature sampling value group.

[0014] S102: Based on the air and water temperature sampling value group, call the air specific heat capacity value and the water specific heat capacity value, determine the equivalent heat mapping relationship between the corresponding air temperature sampling value and water temperature sampling value for heat conversion calculation, and obtain the air and water equivalent heat value group.

[0015] S103: Based on the equivalent heat values ​​of air and water, calculate the heat difference relationship between the corresponding equivalent heat values ​​of air and water, obtain the heat difference results at the same time point, and generate the state quantity of air-water heat difference.

[0016] As a further aspect of the present invention, the specific steps of S2 are as follows:

[0017] S201: Based on the air-water heat difference state quantity, obtain the air-side heat difference value and the water-side heat difference value at the same time node, determine the two types of difference values: direction and amplitude, form a quantitative expression reflecting the relationship between the heat flow direction of the air side and the water side, and generate a heat difference direction determination quantity.

[0018] S202: Based on the heat difference direction determination quantity, call the preset heat transfer determination threshold, determine whether the air-side heat difference falls into the heat transfer determination threshold range, and obtain the heat transfer status identifier quantity.

[0019] S203: Based on the heat transfer status identifier, classify and integrate the states of heat transfer to water body being established and heat transfer being restricted, form a single judgment output, and generate a heat transfer feasibility judgment result.

[0020] As a further aspect of the present invention, the specific steps of S3 are as follows:

[0021] S301: Based on the heat transfer feasibility determination result, obtain the heat transfer status flag value at the corresponding time node, determine the status values ​​of the establishment flag and the restriction flag, and generate the heat transfer status determination value.

[0022] S302: Based on the heat transfer status determination value, collect the greenhouse heat exchange pipeline parameters and hot water storage tank capacity parameters, determine the heat exchange demand matching relationship of the parameters under the same state, and obtain the heat exchange intensity level value;

[0023] S303: Based on the heat exchange intensity level value, determine the corresponding water tank heat storage power benchmark value for the level and perform interval mapping to form a correspondence between heat exchange intensity and power level, establish a single control output, and generate heat storage power control decision quantity.

[0024] As a further aspect of the present invention, the specific steps of S4 are as follows:

[0025] S401: Based on the heat storage power control decision quantity, obtain the water tank power control command value at the corresponding time node, identify the heat exchange loop status formed by the greenhouse hot water storage tank and the heat exchange pipeline inside the greenhouse, and generate the heat exchange loop control reference quantity.

[0026] S402: Based on the control reference quantity of the heat exchange loop, collect the operating parameters of the circulating water pump and the current loop operating parameters, determine the duty cycle position of the circulating water pump operating parameters under the constraint of the reference quantity, and obtain the duty cycle ratio of the circulating water pump.

[0027] S403: Based on the duty cycle of the circulating water pump, call the corresponding valve control parameters in the control reference quantity of the heat exchange circuit, calculate the opening ratio of the heat exchange solenoid valve under the constraint of the valve control parameters, and integrate the duty cycle of the circulating water pump with the opening ratio of the heat exchange solenoid valve to generate a set of heat exchange execution parameters.

[0028] As a further aspect of the present invention, the specific steps of S5 are as follows:

[0029] S501: Based on the heat exchange execution parameter set, monitor the air temperature sampling value of the air layer in the greenhouse crop growth area during the heat exchange execution cycle, record the air temperature change value at the time node, and generate an air temperature change sequence.

[0030] S502: Based on the air temperature change sequence, obtain the upper and lower limit values ​​of the target growth temperature range, determine the position and status of the air temperature value at the time node within the target range, and obtain the temperature range matching determination value.

[0031] S503: Based on the temperature range matching judgment value, determine the summary of air temperature change status within the heat exchange execution cycle, form a single status output, and generate the greenhouse thermal environment control response status.

[0032] As a further aspect of the present invention, the air-water thermal difference state quantity is a state description quantity formed by the difference relationship between the equivalent heat of air and the equivalent heat of water.

[0033] The continuous heat transfer condition refers to the condition in which the air-water heat difference remains in a state that satisfies the judgment that the air layer transfers heat to the water storage body during the heat exchange monitoring period.

[0034] The state in which heat transfer to water is established refers to the determination, based on the difference in heat between air and water, that there is an executable heat transfer relationship between the greenhouse air layer and the water storage body. This state serves as the basis for subsequent determination of the heat exchange intensity level.

[0035] The heat transfer restricted state refers to the state in which, based on the difference in heat between the air and water bodies, the conditions required for heat transfer between the greenhouse air layer and the stored water body are not met.

[0036] As a further aspect of the present invention, the heat exchange intensity level is a classification result obtained by classifying the heat exchange process based on the heat transfer feasibility assessment result and the heat exchange requirements between the greenhouse heat exchange pipeline and the hot water storage tank.

[0037] The water tank thermal storage power control level is used to indicate the power output level adopted by the hot water storage tank during the heat exchange process;

[0038] The heat exchange execution parameter set is a combination of parameters consisting of the duty cycle of the circulating water pump and the opening ratio of the heat exchange solenoid valve.

[0039] The heat exchange execution cycle refers to the time period during which the air temperature change in the air layer of the greenhouse crop growth area is continuously monitored within a time interval in which the heat exchange execution parameter set remains unchanged.

[0040] The greenhouse thermal environment regulation response state is a state description formed by comparing the changes in air temperature with the target growth temperature range.

[0041] A heat recovery greenhouse crop growth management intelligent control system includes:

[0042] The non-critical modules of the heat sensing module are used to perform S1: collect the air temperature of the air layer in the greenhouse crop growth area and the water temperature in the greenhouse hot water storage tank energy storage area, call up the specific heat capacity of air and water, convert the equivalent heat to the air temperature and water temperature, calculate the difference between the equivalent heat of air and the equivalent heat of water, and generate the state quantity of air-water heat difference.

[0043] The non-critical module of the transfer discrimination module is used to execute S2: based on the air-water heat difference state quantity, determine whether there are conditions for continuous heat transfer between the greenhouse air layer and the water storage body, distinguish between the heat transfer to water body established state and the heat transfer restricted state, and generate a heat transfer feasibility judgment result.

[0044] The key module of the power decision module is used to execute S3: based on the heat transfer feasibility judgment result, combined with the heat exchange requirements between the greenhouse heat exchange pipeline and the hot water storage tank, verify the corresponding heat exchange intensity level, match the corresponding water tank heat storage power control level for the heat exchange intensity level, and generate the heat storage power control decision quantity.

[0045] The non-critical modules of the heat exchange execution module are used to execute S4: based on the heat storage power control decision quantity, for the heat exchange circuit formed by the greenhouse hot water storage tank and the heat exchange pipeline inside the greenhouse, calculate the operating duty ratio of the circulating water pump and the opening ratio of the heat exchange solenoid valve, and generate a set of heat exchange execution parameters.

[0046] The non-critical modules of the environmental response module are used to execute S5: based on the heat exchange execution parameter set, monitor the air temperature change of the air layer in the greenhouse crop growth area during the heat exchange execution cycle, compare the air temperature change with the target growth temperature range, and generate the greenhouse thermal environment regulation response state.

[0047] Compared with the prior art, the advantages and positive effects of the present invention are as follows:

[0048] In this invention, the equivalent heat conversion is completed by using the specific heat parameters of air and water, and the temperature judgment is transformed into energy difference analysis. The continuous heat transfer conditions between air and water are clarified, ineffective heat exchange is avoided, and the heat exchange intensity and heat storage power are matched according to the heat state, so that the energy allocation is more precise. At the same time, the heat exchange process is controlled by the water pump duty cycle and valve ratio, and combined with dynamic temperature comparison, a stable and efficient thermal environment regulation is achieved. Attached Figure Description

[0049] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0050] Figure 1 This is a schematic diagram of the steps of the present invention;

[0051] Figure 2 This is a detailed schematic diagram of S1 of the present invention;

[0052] Figure 3 This is a detailed schematic diagram of S2 of the present invention;

[0053] Figure 4 This is a detailed schematic diagram of S3 of the present invention;

[0054] Figure 5 This is a detailed schematic diagram of S4 of the present invention;

[0055] Figure 6 This is a detailed schematic diagram of S5 of the present invention. Detailed Implementation

[0056] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0057] In this embodiment of the invention, sometimes a subscript such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meaning they express is the same.

[0058] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0059] Please see Figure 1 This invention provides an intelligent control method and system for crop growth management in a heat recovery greenhouse, comprising the following steps:

[0060] S1: Collect the air temperature of the air layer in the greenhouse crop growth area and the water temperature in the greenhouse hot water storage tank energy storage area, call up the specific heat capacity of air and water, convert the equivalent heat to the air temperature and water temperature, calculate the difference between the equivalent heat of air and the equivalent heat of water, and generate the state quantity of air-water heat difference.

[0061] The air-water thermal difference state quantity is a state description quantity formed by the difference between the equivalent heat of air and the equivalent heat of water. It is used to characterize the heat distribution relationship between the air layer in the greenhouse crop growth area and the water body in the greenhouse hot water storage tank energy storage area.

[0062] S2: Based on the state quantity of the heat difference between air and water, determine whether there are conditions for continuous heat transfer between the greenhouse air layer and the water storage body, distinguish between the state where heat transfer to water is established and the state where heat transfer is limited, and generate the feasibility result of heat transfer.

[0063] The continuous heat transfer condition refers to the state in which the air-water heat difference remains sufficient to allow heat transfer from the air layer to the water storage body during the heat exchange monitoring period. It is used to distinguish between instantaneous heat changes and executable heat transfer states.

[0064] The establishment of a heat transfer state to water body refers to the determination, based on the state quantity of the heat difference between air and water body, that there is an executable heat transfer relationship between the greenhouse air layer and the water storage body. This state serves as the basis for subsequent determination of the heat exchange intensity level.

[0065] The heat transfer restricted state refers to the state in which the conditions required for heat transfer between the greenhouse air layer and the water storage body are not met, based on the state quantity of the heat difference between the air and the water body. This state is used to limit the selection range of heat transfer intensity level.

[0066] S3: Based on the feasibility results of heat transfer, combined with the heat exchange requirements between the greenhouse heat exchange pipeline and the hot water storage tank, verify the corresponding heat exchange intensity level, match the corresponding water tank heat storage power control level for the heat exchange intensity level, and generate the heat storage power control decision quantity.

[0067] The heat exchange intensity level is a classification result obtained by classifying the heat exchange process based on the feasibility assessment of heat transfer and the heat exchange requirements between the greenhouse heat exchange pipeline and the hot water storage tank. It is used to correspond to different water tank heat storage power control levels.

[0068] The water tank heat storage power control level is used to indicate the power output level adopted by the hot water storage tank during the heat exchange process. This level is used to generate the corresponding operating duty ratio of the circulating water pump and the opening ratio of the heat exchange solenoid valve.

[0069] S4: Based on the thermal storage power control decision quantity, for the heat exchange loop formed by the greenhouse hot water storage tank and the internal heat exchange pipeline of the greenhouse, calculate the operating duty ratio of the circulating water pump and the opening ratio of the heat exchange solenoid valve, and generate a set of heat exchange execution parameters.

[0070] The heat exchange execution parameter set is a combination of parameters consisting of the duty cycle of the circulating water pump and the opening ratio of the heat exchange solenoid valve. It is used to characterize the execution status of the heat exchange loop between the greenhouse hot water storage tank and the heat exchange pipeline inside the greenhouse.

[0071] S5: Based on the set of heat exchange execution parameters, monitor the air temperature change of the air layer in the greenhouse crop growth area during the heat exchange execution cycle, and compare the air temperature change with the target growth temperature range to generate the greenhouse thermal environment control response status.

[0072] The heat exchange execution cycle refers to the period during which the air temperature changes in the air layer of the greenhouse crop growth area are continuously monitored within a time interval in which the set of heat exchange execution parameters remains unchanged.

[0073] The greenhouse thermal environment regulation response state is a state description formed by comparing the changes in air temperature with the target growth temperature range. It is used to characterize the greenhouse thermal environment state corresponding to the current set of heat exchange execution parameters.

[0074] Please see Figure 2 The specific steps of S1 are as follows:

[0075] S101: Collect the air temperature of the air layer in the greenhouse crop growth area and the water temperature in the greenhouse hot water storage tank energy storage area, obtain the corresponding air temperature sampling value and water temperature sampling value at the time, form a temperature data comparison set at the same time scale based on the collection results, and generate an air and water temperature sampling value group.

[0076] Using the air layer in the greenhouse crop growth area and the energy storage area of ​​the greenhouse hot water tank as synchronous sampling objects, periodic data acquisition operations were performed on air temperature and water temperature under the same time reference. During sampling, the range of air temperature sensors and water temperature sensors was first calibrated, limiting the air temperature to the range of −10℃ to 50℃ and the water temperature to the range of 0℃ to 80℃. Readings outside the range were marked as invalid data. Only valid readings were retained in the same sampling period for subsequent processing. Under the premise of consistent timestamps, the air temperature sampling values ​​and water temperature sampling values ​​acquired at the same time were combined into a set of temperature data comparison records and stored continuously in chronological order to form a sequence of air-water temperature sampling values ​​at the same time scale. This sequence serves as the basic input data source for subsequent heat conversion and difference calculation.

[0077] S102: Based on the air and water temperature sampling value group, call the air specific heat capacity value and water specific heat capacity value, determine the equivalent heat mapping relationship between the corresponding air temperature sampling value and water temperature sampling value for heat conversion calculation, form the air equivalent heat value and water equivalent heat value, and obtain the air and water equivalent heat value group.

[0078] After obtaining the sequence of air and water temperature sampling values, for each time point, a unified reference temperature Tref is first set, and the temperature difference between the air temperature and the water temperature relative to this reference temperature is calculated. Then, based on the predetermined air volume and water volume parameters, combined with the medium density data at the corresponding time, the volume parameters are converted into air mass and water mass. On this basis, the specific heat capacity of air and water are called, and the product operation of mass, specific heat capacity and temperature difference is performed item by item to convert the original temperature dimension into a unified equivalent heat dimension, and the equivalent heat value of air and water is obtained. All intermediate parameters and calculation results are recorded in the same data structure according to the time point.

[0079] Table 1: Data for Calculating Equivalent Heat Between Air and Water Bodies

[0080] Parameters / Time Nodes 09:00:00 09:05:00 09:10:00 Air temperature Ta (°C) 24.3 25.1 19.0 Water temperature Tw (°C) 45.6 45.2 25.0 Reference temperature Tref (°C) 21.0 21.0 21.0 Air temperature difference ΔTa (°C) 3.3 4.1 −2.0 Water temperature difference ΔTw (°C) 24.6 24.2 4.0 Air quality (m³ / kg) 361.2 361.2 361.2 Water mass mw (kg) 1996 1996 1996 Specific heat of air cp,a (kJ / kg·K) 1.005 1.005 1.005 Specific heat of water cp,w (kJ / kg·K) 4.182 4.182 4.182 Air equivalent heat Qa (kJ) 1197.9 1488.3 −726.0 Equivalent heat of water body Qw (kJ) 205339.6 202804.7 33389.2

[0081] As can be seen from the table above, each column corresponds to an independent time node. The temperature input, temperature difference calculation, mass conversion and equivalent heat calculation are completed sequentially from top to bottom in the column, and finally a group of equivalent heat values ​​for air and water are formed.

[0082] S103: Based on the equivalent heat values ​​of air and water, calculate the heat difference relationship between the equivalent heat values ​​of air and water, obtain the heat difference results at the same time point, establish the expression of the heat value difference between air and water, and generate the state quantity of heat difference between air and water.

[0083] After obtaining the equivalent heat values ​​of air and water, for the same time point, the equivalent heat values ​​of air and water in the corresponding column of Table 1 are directly called to perform the difference operation, calculate the numerical difference between the equivalent heat of water and air, and use the difference as the quantitative expression result of the heat difference. After the difference calculation is completed, the obtained difference is compared with the preset multi-level interval thresholds one by one. According to the interval range in which the absolute value of the difference falls, the corresponding heat difference state number is determined, and the time point, heat difference result and state number are linked and recorded, so as to form a continuous state quantity expression of the heat value difference between air and water in the time series dimension.

[0084] Please see Figure 3 The specific steps of S2 are as follows:

[0085] S201: Based on the state quantity of heat difference between air and water, obtain the heat difference value between the air side and the water side at the same time point, determine the two types of difference values, namely direction and amplitude, form a quantitative expression reflecting the relationship between heat flow direction between the air side and the water side, and generate a heat difference direction determination quantity.

[0086] Based on the thermal difference state quantity between the air and water sides as input, the thermal difference values ​​of the air side and the water side are extracted separately at the same time node as two basic calculation parameters. During the extraction process, the equivalent thermal values ​​of the air (Qa) and water (Qw) at the same node are read using the timestamp as the index key, and the difference is calculated to obtain the thermal difference ΔQ. Then, the direction of the thermal difference is determined according to the sign of ΔQ. When ΔQ is positive, the water side is recorded as the high thermal value end. When ΔQ is negative, the air side is recorded as the high heat value end. When ΔQ is equal to zero, it is recorded as a directionless state. After the direction determination is completed, the absolute value of ΔQ is taken to obtain the heat difference amplitude |ΔQ|. This amplitude value is then compared with the preset amplitude range in sequence. The amplitude range is divided into three levels: 0≤|ΔQ|<20000kJ, 20000kJ≤|ΔQ|<80000kJ, and |ΔQ|≥80000kJ. This forms a structured determination result that simultaneously contains direction information and amplitude level information.

[0087] Table 2: Data Table for Determining the Direction and Amplitude of Heat Difference

[0088] Parameters / Time Nodes 09:00:00 09:05:00 09:10:00 Air equivalent heat Qa (kJ) 1197.9 1488.3 −726.0 Equivalent heat of water body Qw (kJ) 205339.6 202804.7 33389.2 The heat difference ΔQ = Qw − Qa (kJ) 204141.7 201316.4 34115.2 Difference direction determination Water body elevation Water body elevation Water body elevation Difference range ≥80000kJ ≥80000kJ 20000–80000kJ Amplitude level number 3 3 2

[0089] The table above records the direction and magnitude of the heat difference between the air and water sides at each time point, and finally generates a heat difference direction determination quantity.

[0090] S202: Based on the direction determination of heat difference, call the preset heat transfer determination threshold, determine whether the heat difference on the air side falls into the threshold allowable range, form a heat transfer continuous establishment flag or a heat transfer restricted flag, and obtain the heat transfer status flag quantity.

[0091] After obtaining the direction determination quantity of heat difference, the corresponding difference amplitude level number and difference amplitude value are read at each time node, and the pre-set heat transfer determination threshold range is called to perform an interval comparison operation on the difference amplitude value. When the difference amplitude falls within the threshold allowable range, it is recorded as the heat transfer is established. When the difference amplitude is lower than the lower threshold or higher than the upper threshold, it is recorded as the heat transfer is restricted. In the specific execution process, each node independently completes a lower threshold comparison and a higher threshold comparison. Only when both comparison results meet the conditions is the established flag output; otherwise, the restricted flag is output, thus forming the heat transfer status flag quantity corresponding to the time node.

[0092] S203: Based on the heat transfer status identifier, classify and integrate the states of heat transfer to water body as established and heat transfer as restricted, form a single judgment output, establish the heat transfer feasibility expression under the corresponding state, and generate heat transfer feasibility judgment result;

[0093] After the heat transfer status identifiers are generated, the status identifiers corresponding to each time node are classified and integrated. First, the identifier results are read according to a single time node and the established status and the restricted status are distinguished. Then, the identifier results of adjacent time nodes are compared for consistency. Time nodes with consecutive consistent identifier results are merged into the same status segment and the corresponding start and end times are recorded. After the status segment is divided, a unique judgment result is output for each status segment. When all time nodes in the status segment are in the established status, the heat transfer feasibility is determined. When there are restricted status nodes in the status segment, the heat transfer feasibility is determined. In this way, the discrete status identifier results are integrated into a single, continuous heat transfer feasibility judgment result.

[0094] Please see Figure 4 The specific steps of S3 are as follows:

[0095] S301: Based on the feasibility determination result of heat transfer, obtain the heat transfer status flag value at the corresponding time node, determine the status values ​​of the establishment flag and the restriction flag, form a status quantification result reflecting the current heat exchange constraints, and generate a heat transfer status determination value.

[0096] Based on the feasibility assessment of heat transfer, the corresponding heat transfer status identifier records are expanded one by one according to time nodes. During the expansion process, the status identifier value under the corresponding node is first read with time index t, and the identifier is limited to two discrete values: valid state and restricted state. A value judgment operation is performed on the read status identifier. When the identifier value corresponds to the valid state, it is recorded as an effective heat transfer constraint state. When the identifier value corresponds to the restricted state, it is recorded as a restricted heat transfer constraint state. Then, the status identifier is stored in parallel with the heat difference amplitude data obtained at the same time node to describe the constraint strength of heat exchange at the current moment. On this basis, the status identifier is uniformly encoded, with the valid state encoded as 1 and the restricted state encoded as 0. The encoding result is written into the status record sequence as the heat transfer status judgment value, thereby forming a heat transfer status judgment value dataset that can be directly called in the time series dimension.

[0097] S302: Based on the heat transfer status determination value, collect the parameter values ​​of the greenhouse heat exchange pipeline and the capacity parameter values ​​of the hot water storage tank, determine the heat exchange demand matching relationship between the greenhouse heat exchange pipeline parameters and the hot water storage tank capacity parameters under the same state, form the intensity range expression of heat exchange demand and state conditions, and obtain the heat exchange intensity level value.

[0098] After obtaining the heat transfer status determination value, the parameters of the greenhouse heat exchange pipeline and the capacity parameters of the hot water storage tank are collected synchronously for each time node. The pipeline parameters consist of pipe diameter, pipe length, circulating volumetric flow rate, and supply and return water temperature difference. The tank capacity parameter is characterized by the effective water volume. After the parameters are collected, the pipeline parameters are first converted item by item to convert the volumetric flow rate into the mass flow rate. Then, the heat exchange power that the pipeline can deliver at that time node is calculated by combining the specific heat capacity of water and the supply and return water temperature difference. At the same time, the heat difference amplitude at the same node is calculated with the preset time window length to obtain the corresponding heat exchange demand power value. Then, the heat exchange demand power and the pipeline deliverable power are calculated as a ratio to form a heat exchange demand matching ratio. Under the premise of introducing the status determination value as a gating condition, the matching ratio is compared in intervals. When the status determination value is a limited state, the zero-level heat exchange intensity is directly output. When the status determination value is a valid state, the corresponding heat exchange intensity level is determined according to the interval range in which the ratio falls. Thus, a heat exchange intensity level value matching the heat exchange conditions is formed at the same time node.

[0099] Table 3: Data Table for Determining Heat Transfer Parameters and Heat Transfer Intensity Level

[0100] Parameters / Time Nodes 09:00 09:10 Heat transfer status determination value 0 1 Effective volume of the water tank Vw (m³) 2.0 2.0 Pipeline volumetric flow rate Qv (m³ / h) 2.0 2.0 Supply and return water temperature difference ΔTloop (K) 10 10 The pipeline can transmit power Ppipe (kW). 23.19 23.19 Calorie difference range ΔQ (kJ) Heat exchanger power requirement Pdem (kW) 113.41 18.95 Demand matching ratio r = Pdem / Ppipe 4.89 0.82 Heat transfer intensity level 0 3

[0101] As can be seen from Table 3, when the state judgment value is limited, the process of judging the ratio interval is not entered. However, when the state judgment value is valid, the heat transfer intensity level is determined directly by the ratio.

[0102] S303: Based on the heat exchange intensity level value, determine the corresponding water tank thermal storage power benchmark value for the level and perform interval mapping to form a correspondence between heat exchange intensity and power level, establish a single control output, and generate thermal storage power control decision quantity;

[0103] After the heat exchange intensity level value is generated, the corresponding heat exchange intensity level is read according to the time node, and the level and the effective volume parameter of the water tank are used as the power mapping input conditions. Then, the upper limit of the current acceptable heat storage power of the water tank is calculated. The upper limit of the power is obtained by multiplying the water mass, water specific heat capacity and the upper limit of the allowable heating rate. After obtaining the upper limit of the power, according to the heat exchange intensity level and the preset level mapping rules, the upper limit of the power is mapped to the corresponding heat storage power reference value at different ratios. When the level is zero, zero power is directly output. When the level is low, medium and high, the corresponding ratio of the reference power value is output respectively. Finally, the time node is bound to the corresponding heat storage power reference value to form a single heat storage power control decision output sequence.

[0104] Please see Figure 5 The specific steps of S4 are as follows:

[0105] S401: Based on the thermal storage power control decision quantity, obtain the power control command value of the water tank at the corresponding time node, identify the state of the heat exchange loop formed by the greenhouse hot water storage tank and the heat exchange pipeline inside the greenhouse, form a quantitative correspondence between the power command and the loop operating conditions, and generate the control reference quantity of the heat exchange loop.

[0106] Based on the thermal storage power control decision quantity, the power command value of the corresponding node is read under the time index, and the water tank supply and return water temperature, pipeline instantaneous flow rate, valve feedback status and water pump operation feedback status are collected simultaneously. A comparison calculation is performed to check whether the power command is zero. When the power command is zero, the loop is directly marked as non-operating and a basic control record is generated. When the power command is greater than zero, the loop operating conditions are further verified. The water pump start and stop status, minimum circulation flow threshold and valve minimum opening threshold are compared item by item. Only when all three conditions are met does the temperature difference verification process begin. The loop temperature difference is calculated by the supply and return water temperature difference and compared with the preset interval boundary. After the temperature difference validity verification is completed, the power command value is proportionally calculated with the flow rate, specific heat capacity and temperature difference parameters to form a quantitative benchmark record characterizing the relationship between the power command and the loop operating conditions. Finally, the data structure is output as the control benchmark quantity of the heat exchange loop.

[0107] S402: Based on the control reference quantity of the heat exchange loop, collect the rated operating parameters of the circulating water pump and the current loop operating parameter values, determine the duty interval position of the water pump operating parameters under the constraint of the reference quantity, form a duty ratio correspondence expression, and obtain the operating duty ratio value of the circulating water pump.

[0108] After obtaining the control reference values ​​for the heat exchange loop, the rated operating parameters and real-time operating parameters of the circulating water pump are collected at the same time point. The rated volumetric flow rate and rated input power are used as reference values. At the same time, the current flow rate, pressure difference, and input power are read as operating status values. The pressure difference data is converted to obtain the equivalent head, which is then used in the hydraulic power calculation along with the volumetric flow rate. The ratio of the hydraulic power to the real-time input power is then calculated to obtain the operating efficiency value of that node. After obtaining the efficiency value, the upper limit of the available power of the water pump in the current time period is calculated by combining the rated power and the median efficiency value. The heat storage power control command is then compared with this upper limit of power to obtain the duty cycle position parameter. Subsequently, the parameter is compared step by step to map it to the operating duty cycle value of the circulating water pump, thus completing the numerical conversion from the control reference value to the water pump duty cycle.

[0109] Table 4: Data Table for Determining Operating Parameters and Duty Cycle Ratio of Circulating Water Pumps

[0110] Parameters / Time Nodes 09:10 Thermal storage power control command Pcmd (kW) 27.824 Rated power of water pump Pr (kW) 1.10 Real-time volumetric flow rate Qv (m³ / h) 2.0 Real-time pressure difference Δp (kPa) 60 Equivalent head H (m) 6.13 Real-time input power pin (kW) 0.080 Hydraulic power Ph (kW) 0.033 Equivalent efficiency η 0.416 Available power limit Pcap (kW) 0.495 Interval position Dpos 1.00 Water pump duty cycle Dpump 1.00

[0111] S403: Based on the duty cycle of the circulating water pump, call the corresponding valve control parameters in the control reference quantity of the heat exchange circuit, calculate the opening ratio of the heat exchange solenoid valve under the constraint of the valve control parameters, and integrate the duty cycle of the circulating water pump with the opening ratio of the heat exchange solenoid valve to generate a set of heat exchange execution parameters.

[0112] After obtaining the duty cycle value of the circulating water pump, the corresponding duty cycle parameters are read according to the time node, and the preset upper and lower limit parameters of valve opening in the heat exchange loop control reference quantity are called simultaneously. The target valve opening ratio is assigned a proportional value, and then the target ratio is clamped by the upper and lower limit thresholds to obtain the effective valve opening ratio under the current node. After the ratio is determined, the ratio is converted into a valve opening percentage and combined with the selected PWM drive frequency parameters to form a valve control command. At the same time, the expected flow rate value is deduced from the valve opening ratio and compared with the real-time flow rate. When the deviation exceeds the allowable range, the valve ratio is corrected. Finally, the pump duty cycle, valve opening ratio and related operating parameters are integrated into a single heat exchange execution parameter set and output.

[0113] Please see Figure 6 The specific steps of S5 are as follows:

[0114] S501: Based on the heat exchange execution parameter set, monitor the air temperature sampling value of the air layer in the greenhouse crop growth area during the heat exchange execution cycle, record the air temperature change value at the time node, form a quantitative data expression reflecting the temperature change trajectory within the heat exchange cycle, and generate air temperature change sequence value.

[0115] Based on the set of heat exchange execution parameters, an air temperature monitoring process is carried out within a complete heat exchange execution cycle. At the beginning of the cycle, the water pump duty cycle and valve opening ratio corresponding to that cycle are read and used as background operating conditions. Subsequently, air temperature data are continuously collected at the height of the crop canopy according to a fixed sampling step size. Range verification and repeated sampling averaging are performed on the sampled values ​​at each time node. The air temperature change difference and change rate are calculated between adjacent time nodes. The time index, node temperature average, and change rate are written sequentially into a serialized storage structure, thereby forming an air temperature change record arranged by time throughout the entire heat exchange execution cycle, which is used to describe the trajectory characteristics of air temperature change over time within the cycle. Finally, the output is used as the air temperature change sequence value.

[0116] S502: Based on the air temperature change sequence value, obtain the upper and lower limit values ​​of the target growth temperature range, determine the position and status of the air temperature value at the time node within the target range, form a quantitative expression of the temperature deviation from the range distribution, and obtain the temperature range matching judgment value.

[0117] After obtaining the air temperature change sequence values, the corresponding average air temperature is called for each time node in the sequence, and the lower and upper limits of the target growth temperature range are read from the crop temperature control configuration. The air temperature of each node is compared with the upper and lower limits of the range. When the temperature is lower than the lower limit, it is recorded as a lower deviation state and the lower deviation amount is calculated. When the temperature is higher than the upper limit, it is recorded as an upper deviation state and the upper deviation amount is calculated. When the temperature falls within the range, it is recorded as an in-range state and the deviation amount is set to zero. After completing the range position determination, the deviation amount is further normalized according to the target range width to obtain a dimensionless index reflecting the degree of node deviation. The time node, air temperature value, range position identifier, upper and lower deviation amount, and normalized deviation index are recorded side by side to form node-level judgment data that can be directly used for statistical analysis.

[0118] Table 5: Data Table for Matching Air Temperature Ranges During Heat Exchange Cycle

[0119] Parameters / Time Nodes 09:10 09:11 09:12 09:25 09:35 Air temperature Ta (°C) 23.80 24.00 24.13 17.40 26.20 Target lower limit Tlow (°C) 18 18 18 18 18 Target upper limit Thigh (°C) 25 25 25 25 25 Interval location identifier Pos 0 0 0 −1 1 Lower deviation δL (°C) 0.00 0.00 0.00 0.60 0.00 Upper deviation δH (°C) 0.00 0.00 0.00 0.00 1.20 Normalized Deviation Index (DI) 0.000 0.000 0.000 0.086 0.171

[0120] As shown in Table 5, the position and deviation of air temperature relative to the target range at different time points are clearly quantified and kept in a uniform recording format, ultimately forming a temperature range matching judgment value sequence.

[0121] S503: Based on the temperature range matching judgment value, determine the summary of air temperature change status within the heat exchange execution cycle, form a single status output, establish the status expression of greenhouse air thermal environment change, and generate greenhouse thermal environment regulation response status.

[0122] After obtaining the duty cycle value of the circulating water pump, the corresponding duty cycle parameters are read according to the time node, and the preset upper and lower limit parameters of valve opening in the heat exchange loop control reference quantity are called simultaneously. The target valve opening ratio is assigned a proportional value, and then the target ratio is clamped by the upper and lower limit thresholds to obtain the effective valve opening ratio under the current node. After the ratio is determined, the ratio is converted into a valve opening percentage and combined with the selected PWM drive frequency parameters to form a valve control command. At the same time, the expected flow rate value is deduced from the valve opening ratio and compared with the real-time flow rate. When the deviation exceeds the allowable range, the valve ratio is corrected. Finally, the pump duty cycle, valve opening ratio and related operating parameters are integrated into a single heat exchange execution parameter set and output.

[0123] A heat recovery greenhouse crop growth management intelligent control system includes:

[0124] The non-critical module of the heat sensing module is used to execute S1: collect the air temperature of the air layer in the greenhouse crop growth area and the water temperature in the greenhouse hot water storage tank energy storage area, call the specific heat capacity of air and water, convert the equivalent heat to the air temperature and water temperature, calculate the difference between the equivalent heat of air and the equivalent heat of water, and generate the state quantity of air-water heat difference.

[0125] The non-critical module of the heat transfer judgment module is used to execute S2: based on the state quantity of the air-water heat difference, determine whether there are conditions for continuous heat transfer between the greenhouse air layer and the water storage body, distinguish between the state of heat transfer to water body being established and the state of heat transfer being limited, and generate a heat transfer feasibility judgment result.

[0126] The key module of the power decision module is used to execute S3: Based on the heat transfer feasibility assessment results, combined with the heat exchange requirements between the greenhouse heat exchange pipeline and the hot water storage tank, verify the corresponding heat exchange intensity level, match the corresponding water tank heat storage power control level for the heat exchange intensity level, and generate the heat storage power control decision quantity.

[0127] The non-critical modules of the heat exchange execution module are used to execute S4: Based on the heat storage power control decision, for the heat exchange loop formed by the greenhouse hot water storage tank and the heat exchange pipeline inside the greenhouse, the operating duty ratio of the circulating water pump and the opening ratio of the heat exchange solenoid valve are calculated to generate a set of heat exchange execution parameters.

[0128] The non-critical modules of the environmental response module are used to execute S5: based on the heat exchange execution parameter set, monitor the air temperature change of the air layer in the greenhouse crop growth area during the heat exchange execution cycle, compare the air temperature change with the target growth temperature range, and generate the greenhouse thermal environment regulation response status.

[0129] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for intelligent control of crop growth management in a heat recovery greenhouse, characterized in that, Includes the following steps: S1: Collect the air temperature in the greenhouse crop growth area and the water temperature in the hot water storage tank energy storage area, convert the equivalent heat to the air temperature and water temperature, calculate the difference between the equivalent heat of the air and the equivalent heat of the water, and form the state quantity of air-water heat difference. S2: Based on the air-water heat difference state quantity, determine whether the conditions for continuous heat transfer between the greenhouse air layer and the water storage body are met, distinguish between the heat transfer to water body established state and the heat transfer restricted state, and generate a heat transfer feasibility result. S3: Based on the heat transfer feasibility results, combined with the heat exchange requirements of the greenhouse heat exchange pipeline and the hot water storage tank, verify the corresponding heat exchange intensity level, and match the corresponding heat storage power control level to the intensity level to form the heat storage power control decision quantity. S4: Based on the heat storage power control decision, for the heat exchange circuit formed by the heat storage tank and the greenhouse heat exchange pipeline, calculate the duty cycle of the circulating water pump and the opening ratio of the heat exchange solenoid valve, and generate a set of heat exchange execution parameters. S5: Based on the set of heat exchange execution parameters, monitor the changes in air temperature in the greenhouse crop growth area during the heat exchange cycle, compare them with the target growth temperature range, and generate a greenhouse thermal environment control response status.

2. The intelligent control method for crop growth management in a heat recovery greenhouse according to claim 1, characterized in that, The air-water body heat difference state quantity includes the air equivalent heat baseline value, the water equivalent heat baseline value, and the air-water body heat difference index; the heat transfer feasibility judgment result includes the heat transfer to water body establishment indicator, heat transfer restriction indicator, and continuous transfer confidence index; the heat storage power control decision quantity includes the heat exchange intensity level, water tank heat storage power control level, and power adjustment priority; the heat exchange execution parameter set includes the circulating water pump operation duty ratio, heat exchange solenoid valve opening ratio, and heat exchange execution cycle parameters; the greenhouse thermal environment regulation response state includes the air temperature deviation, the target growth temperature range matching indicator, and the thermal environment regulation response trend.

3. The intelligent control method for crop growth management in a heat recovery greenhouse according to claim 1, characterized in that, The specific steps of S1 are as follows: S101: Collect the air temperature of the air layer in the greenhouse crop growth area and the water temperature in the greenhouse hot water storage tank energy storage area, obtain the corresponding air temperature sampling value and water temperature sampling value at the time, form a temperature data comparison set at the same time scale based on the collection results, and generate an air and water temperature sampling value group. S102: Based on the air and water temperature sampling value group, call the air specific heat capacity value and the water specific heat capacity value, determine the equivalent heat mapping relationship between the corresponding air temperature sampling value and water temperature sampling value for heat conversion calculation, and obtain the air and water equivalent heat value group. S103: Based on the equivalent heat values ​​of air and water, calculate the heat difference relationship between the corresponding equivalent heat values ​​of air and water, obtain the heat difference results at the same time point, and generate the state quantity of air-water heat difference.

4. The intelligent control method for crop growth management in a heat recovery greenhouse according to claim 3, characterized in that, The specific steps of S2 are as follows: S201: Based on the air-water heat difference state quantity, obtain the air-side heat difference value and the water-side heat difference value at the same time node, determine the two types of difference values: direction and amplitude, form a quantitative expression reflecting the relationship between the heat flow direction of the air side and the water side, and generate a heat difference direction determination quantity. S202: Based on the heat difference direction determination quantity, call the preset heat transfer determination threshold, determine whether the air-side heat difference falls into the heat transfer determination threshold range, and obtain the heat transfer status identifier quantity. S203: Based on the heat transfer status identifier, classify and integrate the states of heat transfer to water body being established and heat transfer being restricted, form a single judgment output, and generate a heat transfer feasibility judgment result.

5. The intelligent control method for crop growth management in a heat recovery greenhouse according to claim 4, characterized in that, The specific steps for S3 are as follows: S301: Based on the heat transfer feasibility determination result, obtain the heat transfer status flag value at the corresponding time node, determine the status values ​​of the establishment flag and the restriction flag, and generate the heat transfer status determination value. S302: Based on the heat transfer status determination value, collect the greenhouse heat exchange pipeline parameters and hot water storage tank capacity parameters, determine the heat exchange demand matching relationship of the parameters under the same state, and obtain the heat exchange intensity level value; S303: Based on the heat exchange intensity level value, determine the corresponding water tank heat storage power benchmark value for the level and perform interval mapping to form a correspondence between heat exchange intensity and power level, establish a single control output, and generate heat storage power control decision quantity.

6. The intelligent control method for crop growth management in a heat recovery greenhouse according to claim 5, characterized in that, The specific steps of S4 are as follows: S401: Based on the heat storage power control decision quantity, obtain the water tank power control command value at the corresponding time node, identify the heat exchange loop status formed by the greenhouse hot water storage tank and the heat exchange pipeline inside the greenhouse, and generate the heat exchange loop control reference quantity. S402: Based on the control reference quantity of the heat exchange loop, collect the operating parameters of the circulating water pump and the current loop operating parameters, determine the duty cycle position of the circulating water pump operating parameters under the constraint of the reference quantity, and obtain the duty cycle ratio of the circulating water pump. S403: Based on the duty cycle of the circulating water pump, call the corresponding valve control parameters in the control reference quantity of the heat exchange circuit, calculate the opening ratio of the heat exchange solenoid valve under the constraint of the valve control parameters, and integrate the duty cycle of the circulating water pump with the opening ratio of the heat exchange solenoid valve to generate a set of heat exchange execution parameters.

7. The intelligent control method for crop growth management in a heat recovery greenhouse according to claim 6, characterized in that, The specific steps of S5 are as follows: S501: Based on the heat exchange execution parameter set, monitor the air temperature sampling value of the air layer in the greenhouse crop growth area during the heat exchange execution cycle, record the air temperature change value at the time node, and generate an air temperature change sequence. S502: Based on the air temperature change sequence, obtain the upper and lower limit values ​​of the target growth temperature range, determine the position and status of the air temperature value at the time node within the target range, and obtain the temperature range matching determination value. S503: Based on the temperature range matching judgment value, determine the summary of air temperature change status within the heat exchange execution cycle, form a single status output, and generate the greenhouse thermal environment control response status.

8. The intelligent control method for crop growth management in a heat recovery greenhouse according to claim 1, characterized in that, The air-water thermal difference state quantity is a state description quantity formed by the difference between the equivalent heat of air and the equivalent heat of water. The continuous heat transfer condition refers to the condition in which the air-water heat difference remains in a state that satisfies the judgment that the air layer transfers heat to the water storage body during the heat exchange monitoring period. The state in which heat transfer to water is established refers to the determination, based on the difference in heat between air and water, that there is an executable heat transfer relationship between the greenhouse air layer and the water storage body. This state serves as the basis for subsequent determination of the heat exchange intensity level. The heat transfer restricted state refers to the state in which, based on the difference in heat between the air and water bodies, the conditions required for heat transfer between the greenhouse air layer and the stored water body are not met.

9. The intelligent control method for crop growth management in a heat recovery greenhouse according to claim 1, characterized in that, The heat exchange intensity level is a classification result obtained by classifying the heat exchange process based on the feasibility assessment of heat transfer and the heat exchange requirements between the greenhouse heat exchange pipeline and the hot water storage tank. The water tank thermal storage power control level is used to indicate the power output level adopted by the hot water storage tank during the heat exchange process; The heat exchange execution parameter set is a combination of parameters consisting of the duty cycle of the circulating water pump and the opening ratio of the heat exchange solenoid valve. The heat exchange execution cycle refers to the time period during which the air temperature change in the air layer of the greenhouse crop growth area is continuously monitored within a time interval in which the heat exchange execution parameter set remains unchanged. The greenhouse thermal environment regulation response state is a state description formed by comparing the changes in air temperature with the target growth temperature range.

10. A heat recovery greenhouse crop growth management intelligent control system, characterized in that, The system is used to implement the intelligent control method for crop growth management in a heat recovery greenhouse as described in any one of claims 1-9, and the system includes: The non-critical modules of the heat sensing module are used to perform S1: collect the air temperature of the air layer in the greenhouse crop growth area and the water temperature in the greenhouse hot water storage tank energy storage area, call up the specific heat capacity of air and water, convert the equivalent heat to the air temperature and water temperature, calculate the difference between the equivalent heat of air and the equivalent heat of water, and generate the state quantity of air-water heat difference. The non-critical module of the transfer discrimination module is used to execute S2: based on the air-water heat difference state quantity, determine whether there are conditions for continuous heat transfer between the greenhouse air layer and the water storage body, distinguish between the heat transfer to water body established state and the heat transfer restricted state, and generate a heat transfer feasibility judgment result. The key module of the power decision module is used to execute S3: based on the heat transfer feasibility judgment result, combined with the heat exchange requirements between the greenhouse heat exchange pipeline and the hot water storage tank, verify the corresponding heat exchange intensity level, match the corresponding water tank heat storage power control level for the heat exchange intensity level, and generate the heat storage power control decision quantity. The non-critical modules of the heat exchange execution module are used to execute S4: based on the heat storage power control decision quantity, for the heat exchange circuit formed by the greenhouse hot water storage tank and the heat exchange pipeline inside the greenhouse, calculate the operating duty ratio of the circulating water pump and the opening ratio of the heat exchange solenoid valve, and generate a set of heat exchange execution parameters. The non-critical modules of the environmental response module are used to execute S5: based on the heat exchange execution parameter set, monitor the air temperature change of the air layer in the greenhouse crop growth area during the heat exchange execution cycle, compare the air temperature change with the target growth temperature range, and generate the greenhouse thermal environment regulation response state.

Images