Planting environment ventilation device adjustment method, controller and storage medium

Abstract

The present disclosure provides a planting environment ventilation equipment adjusting method, a controller and a storage medium. The method comprises: obtaining a theoretical basis gear for maintaining a target state of a planting environment; periodically obtaining an environment deviation of the planting environment, and recursively updating an environment compensation factor based on the environment deviation; using the environment compensation factor of the current period to gain correct the theoretical basis gear to obtain an adaptive target gear; and allowing the ventilation equipment to operate according to the adaptive target gear. The present disclosure can adaptively adjust the gear of the ventilation equipment according to the changes of the temperature and humidity indexes of the planting environment, improve the adjustment accuracy of the temperature and humidity indexes through the recursive updating mechanism based on the environment deviation, and realize long-term steady-state control of the planting environment.

Description

Technical Field

[0001] This invention relates to the field of environmental control technology, and in particular to a method for regulating ventilation equipment in a planting environment, a controller, and a storage medium. Background Technology

[0002] In the field of automated control of indoor growing environments (such as plant tents or greenhouses), the precise adjustment of ventilation equipment is a key means of maintaining the target temperature and humidity within the growing environment.

[0003] Existing circulating fans often struggle to precisely adjust airflow based on ambient temperature and humidity, resulting in insufficient precision in temperature and humidity regulation within the growing environment.

[0004] How to provide a precise ventilation equipment adjustment solution that adapts to environmental deviations is a problem that urgently needs to be solved. Summary of the Invention

[0005] On the one hand, this disclosure provides a method for adjusting ventilation equipment in a planting environment, which has the characteristics of adapting to environmental deviations and having a high degree of precision in adjustment.

[0006] The method includes the following steps: To obtain the theoretical basis for maintaining the target state of the planting environment; The environmental deviation of the planting environment is periodically acquired, and the environmental compensation factor is recursively updated based on the environmental deviation. The theoretical base gear is adjusted by using the environmental compensation factor of the current cycle to obtain the adaptive target gear. The ventilation equipment is then set to operate at the adaptive target setting.

[0007] On the other hand, this disclosure also provides a controller, which includes a processor and a memory. The memory is used to store program instructions, and the processor executes the above-described method for adjusting the ventilation equipment in the planting environment by invoking the program instructions.

[0008] In another aspect, this disclosure also provides a non-transitory computer-readable storage medium storing program code executable by a device, the program code being used to implement the various logical steps in the above-described adjustment method.

[0009] The beneficial effects of this invention are as follows: The method provided in this disclosure enables ventilation equipment to adaptively adjust its settings in response to changes in temperature and humidity in the planting environment. Through a bias-based recursive update mechanism, fine-grained fitting of temperature and humidity indices is achieved, ensuring long-term steady-state operation of the planting environment when temperature and humidity approach target values.

[0010] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0011] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiments below. The accompanying drawings are for illustrative purposes only and are not intended to limit the scope of this application. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings: Figure 1 A schematic flowchart of some embodiments of the ventilation equipment adjustment method provided in this disclosure is shown; Figure 2 This is a schematic diagram of the hardware structure of a ventilation equipment adjustment device for a planting environment according to some embodiments of this application. Detailed Implementation

[0012] The embodiments of the technical solution of this application will now be described in detail with reference to the accompanying drawings. These embodiments are only used to more clearly illustrate the technical solution of this application and are therefore merely examples, and should not be used to limit the scope of protection of this application.

[0013] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application; the terms “comprising” and “having”, and any variations thereof, in the specification, claims, and foregoing description of the drawings are intended to cover non-exclusive inclusion.

[0014] To achieve precise adjustment of ventilation equipment within the planting environment, thereby maintaining a stable planting environment and saving energy, a method for adjusting ventilation equipment in a planting environment is provided according to some embodiments of this disclosure. Figure 1 A schematic flowchart of some embodiments of the ventilation equipment adjustment method provided in this disclosure is shown.

[0015] It is understood that the ventilation equipment described in this disclosure refers to a device or system for exchanging air between the interior and exterior of the planting environment. In a specific embodiment, the ventilation equipment includes a ventilation fan and various accessories for performing ventilation work, such as air ducts, filters, etc.

[0016] The method for adjusting ventilation equipment in the planting environment includes the following steps: Step S101: Obtain the theoretical baseline setting for maintaining the target state of the planting environment; in some embodiments, the theoretical baseline setting can be obtained in the initial state or re-obtained in each control cycle or preset cycle, so that the theoretical baseline setting can be updated as the target state of the planting environment, external environmental parameters or equipment operating conditions change.

[0017] Step S102: Periodically acquire the environmental deviation of the planting environment and recursively update the environmental compensation factor based on the environmental deviation. Specifically, the environmental compensation factor includes a temperature correction coefficient for correcting temperature deviation and a humidity index correction coefficient for fine-tuning the humidity index. These coefficients are periodically optimized using a recursive algorithm (i.e., multiplying the current coefficient by a temporary increment calculated based on the deviation). According to some embodiments of this application, the humidity index can be relative humidity or a parameter characterizing the state of air water vapor, including at least one of absolute humidity, moisture content, or vapor pressure difference.

[0018] Step S103: Use the environmental compensation factor of the current cycle to perform gain correction on the theoretical base gear to obtain the adaptive target gear; specifically, calculate the final output adaptive target gear command by multiplying the theoretical base gear with the temperature correction coefficient and the humidity index correction coefficient.

[0019] The ventilation equipment is then instructed to operate at the adaptive target setting.

[0020] In one or more embodiments, the theoretical base setting refers to the fan's predicted initial setting, mapped from the theoretical air exchange rate required to maintain the target temperature using an energy balance model. The environmental compensation factor includes a temperature correction coefficient reflecting deviations in the physical environment's air exchange efficiency and a humidity correction coefficient for adjusting humidity levels. These coefficients are continuously optimized through a recursive algorithm to precisely adjust to the target state. The adaptive target setting refers to the final command setting output to the ventilation equipment after adaptive recursive compensation based on the theoretically predicted demand and the actual deviations in real-time temperature and humidity levels.

[0021] The method provided in this disclosure enables ventilation equipment to adaptively adjust its settings in response to changes in temperature and humidity in the planting environment. Through a bias-based recursive update mechanism, fine-grained fitting of temperature and humidity indices is achieved, ensuring long-term steady-state operation of the planting environment when temperature and humidity approach target values.

[0022] The method provided in this disclosure uses a theoretical baseline level as the reference level for gain correction in each control cycle. During the recursive update process, it does not directly use the adaptive target level of the previous cycle as the calculation reference for the next cycle. In other words, this disclosure does not cumulatively iterate on the adaptive target level output in the previous cycle, but rather periodically and recursively updates the environmental compensation factor used to characterize the environmental response deviation, and in each cycle, uses the current environmental compensation factor to re-correct the gain of the theoretical baseline level to obtain the adaptive target level for the current cycle.

[0023] By using the above method, the error accumulation and gear drift caused by directly making cycle-by-cycle cumulative corrections to the gear position can be avoided, so that the adaptive target gear position always revolves around the theoretical base gear position for environmental compensation, thereby improving the stability and recoverability of the adjustment process.

[0024] According to some embodiments of the adjustment method disclosed herein, in step S101: obtaining the theoretical basis level for maintaining the target state of the planting environment, the theoretical basis level is calculated based on an energy balance model.

[0025] According to some embodiments of the adjustment method disclosed herein, the theoretical baseline setting is calculated using an energy balance model to determine the theoretical required air exchange rate to maintain the target temperature, and this theoretical required air exchange rate is mapped to the theoretical baseline setting of the ventilation equipment. This mapping relationship can be an empirical curve or empirical correspondence obtained from multiple experiments, which will not be elaborated further here. In other embodiments, the theoretical baseline setting can also be preset.

[0026] Specifically, in some embodiments, the theoretical required ventilation volume is calculated based on the heat generated by the plant lighting fixtures under operating conditions in the planting environment, the target temperature for maintaining the target state of the planting environment, and the outdoor temperature of the planting environment. The specific calculation formula is as follows: V_flow=P_net*3600 / (ρ_air*(Cp_air*1000)*(T_dTarget-T_Out)); P_net = P_LED * Dim_ratio; In this disclosure, V_flow is the theoretical required ventilation volume; ρ_air is the air density, with a value of 1.2 (kg / m³); Cp_air is the specific heat capacity of air, with a value of 1.005 (kJ / kg·℃); P_net is the net heat; P_LED is the lamp heat; Dim_ratio is the lamp brightness ratio; T_dTarget is the target temperature; and T_Out is the outdoor temperature. P_LED and Dim_ratio are obtained based on the lamp parameters used, T_dTarget is a user input value or a system-preset recommended value, and T_Out is obtained through measurement, for example, by a temperature sensor located outdoors in the planting environment. In a specific embodiment, when T_dTarget = T_Out, the ventilation requirement is configured to be maximum.

[0027] Furthermore, according to some other embodiments of the adjustment method of this disclosure, the theoretical base setting is calculated by using an energy balance model to determine the dynamic air exchange rate required to maintain the target temperature, and then mapping this dynamic air exchange rate to the theoretical base setting of the ventilation equipment. This mapping relationship can be an empirical curve or an empirical correspondence obtained from multiple experiments, which will not be elaborated further here.

[0028] By calculating the theoretical gear level based on the energy balance model, this disclosure realizes predictive control of ventilation equipment, effectively overcoming the lag of traditional feedback regulation.

[0029] Specifically, in some embodiments, the dynamic demand ventilation volume is obtained by combining the theoretical demand ventilation volume calculated in the aforementioned embodiments with the actual demand ventilation volume. The actual demand ventilation volume is calculated based on the heat generated by the plant lighting fixtures under operating conditions, the indoor temperature of the planting environment, and the outdoor temperature of the planting environment. The specific calculation formula is as follows: V_flow_actual=P_net*3600 / (ρ_air*(Cp_air*1000)*(T_In-T_Out)); V_flow_dynamic=V_flow * |(V_flow / V_flow_actual)|; In this disclosure, T_In is the indoor temperature, obtained through measurement, for example, by a temperature sensor installed indoors in the growing environment. V_flow_actual is the actual required ventilation rate, and V_flow_dynamic is the dynamic required ventilation rate.

[0030] Because changes in ventilation volume can occur due to factors such as bent ventilation fan hoses, clogged carbon canisters, or changes in the opening or closing of tent vents, the indoor temperature may differ from the target temperature. Therefore, the theoretical base setting obtained by calculating the dynamic demand ventilation volume V_flow_dynamic is a setting that is adjusted according to the actual environmental conditions, making it more accurate.

[0031] By introducing dynamic demand ventilation (V_flow_dynamic), deviations in actual ventilation efficiency caused by factors such as bent ventilation fan hoses, clogged carbon canisters, or changes in vent conditions can be compensated for, enabling more precise control of the difference between indoor and target temperatures. This method ensures adaptive adjustment based on the actual physical conditions of the growing environment, greatly improving the accuracy and stability of environmental regulation and laying the foundation for precise control at every level and every second.

[0032] According to some embodiments of the adjustment method of this disclosure, step S102, recursively updating the environmental compensation factor based on environmental deviation, includes: Based on environmental deviations, determine the current adjustment priority and periodically execute the following recursive correction logic: In response to the determination that humidity index adjustment is prioritized, the humidity index correction coefficient is updated through the first recursive algorithm to correct the adaptive target level; In response to the determination that temperature adjustment is the priority, the temperature correction coefficient is updated through a second recursive algorithm to correct the adaptive target setting.

[0033] The environmental compensation factor includes humidity correction coefficients and temperature correction coefficients. These coefficients allow for adaptive adjustment of the target setting based on different environmental deviations, enabling the ventilation equipment's setting to change adaptively with environmental variations, thus improving the accuracy of ventilation equipment setting control. Recursive updating refers to a rolling optimization process based on historical adjustment effects. This involves multiplying the coefficient from the previous cycle by the current fine-tuning step size (temporary increment coefficient) to achieve adaptive fine-tuning of the environmental compensation factor.

[0034] By recursively updating the environmental compensation factor based on environmental deviations, a fully closed-loop adaptive fine-tuning of the ventilation equipment is achieved, solving the problems of traditional equipment having a single adjustment strategy and abrupt gear switching under different environmental deviations. This method can automatically switch adjustment priorities according to the real-time deviation of temperature and humidity indicators, ensuring the targeted and sensitive nature of environmental control. Through rolling optimization of the recursive algorithm, the system can automatically detect and compensate for efficiency deviations caused by physical environmental factors such as bent ventilation hoses or clogged carbon canisters, achieving precise control at every level and every second, greatly improving the stability of temperature and humidity indicators in the planting environment.

[0035] In some embodiments, the logic for recursively updating the environmental compensation factor based on the environmental deviation can be implemented as an independent adaptive adjustment unit. Specifically, the adaptive adjustment unit does not depend on the specific calculation method of the theoretical base gear, nor does it depend on the periodic start-stop control method of the ventilation equipment below the physical minimum start gear; as long as the environmental deviation characterizing the current state of the planting environment deviating from the target state can be obtained, the current adjustment priority can be determined based on the environmental deviation, and the temperature correction coefficient and / or the humidity index correction coefficient can be recursively updated according to the adjustment priority.

[0036] In some embodiments, the environmental compensation factor includes a temperature correction coefficient and a humidity index correction coefficient, which are respectively used to characterize the response deviation of the planting environment in the temperature adjustment direction and the humidity index adjustment direction. By using the temperature correction coefficient and the humidity index correction coefficient as independently recursively updated compensation amounts, the control system can selectively update the corresponding correction coefficients under different environmental deviation states, and make the unupdated correction coefficients inherit the values of the previous cycle, thereby forming an environmental compensation mechanism that can be independently applied to different ventilation equipment control strategies.

[0037] Furthermore, according to some embodiments of the adjustment method of the present disclosure, determining the current adjustment priority further includes the following steps: In response to the temperature in the planting environment being within the preset safety range and the humidity index exceeding the standard, it is determined that the humidity index adjustment is prioritized; In response to the temperature in the planting environment deviating from the preset safety range or the humidity index reaching the standard, it is determined that the temperature adjustment is prioritized; In response to the temperature in the planting environment deviating from the preset safety range and the humidity index exceeding the standard, it is determined that the temperature adjustment is prioritized.

[0038] In some embodiments, the determination step of the above adjustment priority can be executed on the premise that the environmental thermal state meets the stationarity criterion. Specifically, in response to T_range < T_range_calc, it is determined that the planting environment thermal state meets the stationarity criterion.

[0039] Specifically, in response to |T_In - T_dTarget| < T_delta, it is determined that the temperature in the planting environment is within the preset safety zone; In response to H_In deviating from the target humidity index to the side where the water vapor state adjustment needs to be enhanced, it is determined that the humidity index in the planting environment exceeds the standard; In response to T_range < T_range_calc, it is determined that the planting environment thermal state meets the stationarity criterion; In response to |T_In - T_dTarget|≥T_delta, it is determined that the temperature in the planting environment deviates from the preset safety range; If H_In is within the allowable range of the target humidity index, it is determined that the humidity index in the planting environment meets the standard.

[0040] In this disclosure, H_In is the internal humidity index of the planting environment, and H_Target is the target humidity index. H_In and H_Target are used to characterize the same air moisture state parameter. T_range is the difference between the maximum and minimum values ​​of the indoor temperature (T_In) within a preset time period. In a specific embodiment, this preset time period is 1 minute. T_range_calc is the steady-state temperature deviation dynamic value, with a value range of [0.05, 0.2]. T_delta is the upper and lower limits of the allowable temperature variation, which can be user input or system-preset recommended values.

[0041] It is understood that, in some embodiments, the humidity index used to characterize the air's water vapor state is not limited to relative humidity, but may also include at least one of absolute humidity, moisture content, or vapor pressure difference; when relative humidity is used as the humidity index, H_In is the indoor relative humidity RH_In, and H_Target is the target relative humidity RH_Target. Exceeding the humidity index means that H_In deviates from H_Target to the side requiring enhanced dehumidification or water vapor state regulation, i.e., RH_In > RH_Target. Meeting the humidity index means that H_In is within the allowable range of the target humidity index, i.e., RH_In ≤ RH_Target.

[0042] As can be understood from the above embodiments, in step S102, the environmental deviation includes the deviation between the indoor temperature T_In and the target temperature T_dTarget within the planting environment, the deviation between the humidity index H_In and the target humidity index H_Target within the planting environment, and whether the thermal state of the planting environment meets the stability criterion. The adjustment priority refers to the system's automatic decision-making logic, based on the urgency of the deviations, to allocate the control focus to adjusting the water vapor state or suppressing / correcting the temperature deviation when both temperature and humidity deviations exist simultaneously.

[0043] By introducing an environmental thermal stability criterion as a precondition for adjustment priority, the system can effectively avoid over-adjustment before the environment is stable, thus significantly reducing the risk of environmental fluctuations. This method achieves decoupling and synergy between temperature control and humidity control logic by clearly distinguishing between the safe temperature range and the state of exceeding humidity limits: prioritizing dehumidification under safe temperature conditions and prioritizing correction when the temperature deviates. This differentiated decision-making strategy greatly improves the accuracy of planting environment regulation. Furthermore, using T_range_calc as a criterion enables the system to exhibit higher sensitivity when the temperature difference is small, ensuring stable crop growth while achieving precise controllability at every level and every second.

[0044] Furthermore, according to some embodiments of the adjustment method of the present disclosure, the temperature range is divided into a temperature target range, a temperature preset safety range, and a temperature tolerance range; in response to the temperature being within T_dTarget ± T_error, the temperature is regarded as being within the temperature target range; in response to the temperature being within T_dTarget ± T_delta, the temperature is regarded as being within the temperature preset safety range; in response to the temperature being within T_dTarget ± T_tolera, the temperature is regarded as being within the temperature tolerance range; in response to the temperature being outside T_dTarget ± T_tolera, the temperature is regarded as being within the temperature abnormal range.

[0045] Similarly, the humidity index is divided into a humidity index target range, a humidity index preset safety range, and a humidity index tolerance range; taking relative humidity as an example, in response to the relative humidity being within RH_Target ± RH_error, the humidity index is regarded as being within the humidity index target range; in response to the relative humidity being within RH_Target ± RH_delta, the humidity index is regarded as being within the humidity index preset safety range; in response to the relative humidity being within RH_Target ± RH_tolera, the humidity index is regarded as being within the humidity index tolerance range; in response to the relative humidity being outside RH_Target ± RH_tolera, the humidity index is regarded as being within the humidity index abnormal range. When other humidity indices are adopted, the humidity index target range, the humidity index preset safety range, the humidity index tolerance range, and the humidity index abnormal range are determined based on the target value and the preset deviation threshold of the corresponding humidity index.

[0046] Among them, T_error, T_delta, and T_tolera are respectively recommended deviation values preset by the user or the system, and T_error < T_delta < T_tolera. For example, in some specific embodiments, the value of T_error is 0.1°C ≤ T_error ≤ 0.3°C, the value of T_delta is 1°C ≤ T_delta ≤ 3°C, and the value of T_tolera is 4°C ≤ T_tolera ≤ 7°C.

[0047] RH_error, RH_delta, and RH_tolera are respectively recommended deviation values preset by the user or the system, and RH_error < RH_delta < RH_tolera. For example, in some specific embodiments, the value of RH_error is 3% ≤ RH_error ≤ 7%, the value of RH_delta is 8% ≤ RH_delta ≤ 12%, and the value of RH_tolera is 18% ≤ RH_tolera ≤ 22%.

[0048] The regulation logic at this time is as follows: In response to the indoor temperature being in an abnormal temperature range and the indoor relative humidity being in an abnormal humidity index range, it is determined that temperature adjustment should be prioritized. If the indoor temperature is in an abnormal temperature range and the indoor relative humidity is within any humidity range, temperature adjustment will be prioritized. If the indoor temperature is within the tolerable temperature range and the indoor relative humidity is within any humidity index range, temperature adjustment will be prioritized. If the indoor temperature is within the preset safe range and the indoor relative humidity is within the abnormal humidity index range, the humidity index tolerance range, or the preset safe range, the humidity index adjustment is prioritized. If the indoor temperature is within the target temperature range and the indoor relative humidity is within the abnormal humidity index range, the humidity index tolerance range, or the preset safe humidity index range, it is determined that humidity index adjustment should be prioritized. Since the indoor temperature is within the preset safe range and the indoor relative humidity is within the target range, the temperature adjustment is prioritized. In response to the indoor temperature being within the target temperature range and the indoor relative humidity being within the target humidity range, the environmental condition is judged to be maintained.

[0049] The above method can enforce temperature priority logic when the temperature is in an abnormal or tolerable range. The system can prioritize ensuring the heat balance that is most critical for crop growth, while regulating temperature and humidity in different regions, thereby improving the speed and stability of environmental parameters approaching the target value.

[0050] Furthermore, according to some embodiments of the adjustment method disclosed herein, the first recursive algorithm includes: calculating the absolute value of the ratio of the difference between the internal humidity index H_In and the external humidity index H_Out of the planting environment in the current cycle to the difference between the target humidity index H_Target and the external humidity index H_Out of the planting environment, to obtain the humidity index increment coefficient ha, which satisfies the following formula: ha=|(H_In - H_Out) / (H_Target - H_Out)|; Wherein, H_Out is the external humidity index of the planting environment, and H_In, H_Out, and H_Target are used to characterize the same air moisture state parameter; in the embodiment where the humidity index is relative humidity, H_In is the indoor relative humidity RH_In, H_Out is the outdoor relative humidity RH_Out, and H_Target is the target relative humidity RH_Target. In a specific embodiment, when H_Target = H_Out, the current setting is maintained.

[0051] Subsequently, the humidity index correction coefficient hf from the previous period is multiplied by the calculated humidity index increment coefficient ha to obtain the recursively updated humidity index correction coefficient hf, which satisfies the following formula: hf = hf(old) * ha; In this disclosure, hf is the humidity index correction coefficient, and ha is the humidity index increment coefficient. These are coefficients used to adjust the ventilation equipment speed according to the humidity index inside the planting environment. In a specific embodiment, ha is set to a value in the range of [0.7, 1.3] to prevent the speed adjustment from being too drastic.

[0052] The second recursive algorithm includes: calculating the absolute value of the ratio of the difference between the internal temperature of the planting environment (i.e., indoor temperature T_In) and the external temperature of the planting environment (i.e., outdoor temperature T_Out) in the current cycle to the difference between the target temperature T_dTarget and the external temperature of the planting environment (i.e., outdoor temperature T_Out), to obtain the temperature increment coefficient ta, which satisfies the following formula: ta=|(T_In - T_Out) / (T_dTarget - T_Out)|; Subsequently, the temperature correction coefficient tf from the previous cycle is multiplied by the calculated temperature increment coefficient ta to obtain the recursively updated temperature correction coefficient tf, which satisfies the following formula: tf = tf(old) * ta; In this disclosure, tf is the temperature correction coefficient, and ta is the temperature increment coefficient, both used to adjust the ventilation equipment's setting based on the internal temperature of the planting environment. In one specific embodiment, ta's value ranges from [0.7, 1.3] to prevent overly drastic adjustments to the setting. In another specific embodiment, when T_dTarget = T_Out, the current setting is maintained.

[0053] This method, by introducing a recursive algorithm, achieves fully closed-loop adaptive fine-tuning of the ventilation equipment, ensuring precise and controllable operation at every level and every second. By limiting the incremental coefficient within a preset range, it effectively prevents drastic environmental fluctuations caused by excessive adjustments, significantly improving the stability of temperature and humidity indicators in the planting environment. This recursive update mechanism enables the system to automatically detect and compensate for ventilation efficiency losses caused by hardware aging or differences in the installation environment (such as pipe bending), thus achieving a more refined and predictive control effect than traditional level switching.

[0054] In some embodiments, the first recursive algorithm and / or the second recursive algorithm further include limiting the calculated incremental coefficients. Specifically, in response to the calculated humidity index incremental coefficient ha or temperature incremental coefficient ta being greater than a preset upper limit value, the corresponding incremental coefficient is set to the preset upper limit value; in response to the calculated humidity index incremental coefficient ha or temperature incremental coefficient ta being less than a preset lower limit value, the corresponding incremental coefficient is set to the preset lower limit value; subsequently, based on the limited humidity index incremental coefficient ha or temperature incremental coefficient ta, the humidity index correction coefficient hf or temperature correction coefficient tf is recursively updated.

[0055] By using the above limiting processing, abnormal amplification or reduction of the incremental coefficient can be avoided within a single cycle due to sensor fluctuations, sudden environmental disturbances, or external environmental parameters approaching the target parameters, thereby suppressing sudden changes in the adaptive target level.

[0056] Furthermore, according to some embodiments of the adjustment method of this disclosure, the step of gain correction for the theoretical base gear in step S103 is as follows: Based on the product of the theoretical base setting, the temperature correction coefficient, and the humidity index correction coefficient, the adaptive target setting for the planting environment is calculated, which satisfies the following formula: DFan_new = DFan * tf * hf; In this disclosure, DFan_new is the adaptive target gear, and DFan is the theoretical base gear. DFan participates in gain correction as a basic computational quantity in the current control cycle, while tf and hf serve as recursive update quantities carrying environmental compensation information from the previous cycle to the current cycle. DFan_new is the control gear output in the current cycle.

[0057] By multiplying the theoretical base level with the temperature correction coefficient and humidity index correction coefficient for gain correction, continuous level control of the ventilation equipment is achieved, ensuring that the operation of each level and each second is in a precise and controllable state.

[0058] Furthermore, according to some embodiments of the adjustment method of this disclosure, in response to the initial state, the initial value of the temperature correction coefficient is calculated based on the parametric nonlinear saturation function model, and the initial value of the humidity index correction coefficient is set to 1. Then, the recursive update logic of the environmental compensation factor is entered, and the initial value of the temperature correction coefficient is used as the temperature correction coefficient of the previous cycle in the first operating cycle, and the initial value of the humidity index correction coefficient is used as the humidity index correction coefficient of the previous cycle in the first operating cycle. The parametric nonlinear saturation function model refers to a class of nonlinear mappings y=f(x;θ) whose shape is controlled by parameters, whose output changes monotonically with the input and asymptotically approaches a finite upper or lower bound (saturation limit) as the input approaches infinity.

[0059] In one specific embodiment, the initial value of the temperature correction coefficient satisfies the following formula: tf_initial=a / (1+c / x^b); In this disclosure, tf_initial is the initial value of the temperature correction coefficient; a is the response amplitude parameter, a calibration constant related to the maximum adjustment range of the ventilation equipment, used to define the maximum compensation gain boundary that the system can provide under extreme deviations. In a specific embodiment, the value of a is [0.01, 100]; b is the morphological index, a sensitivity factor characterizing the system response characteristics, used to control the slope of the control curve in the sensitive range, determining the intervention speed during environmental changes. In a specific embodiment, the value of b is [1, 5]; c is the balance threshold constant, a deviation benchmark value related to the preset half-response intensity, used to lock the center position of the control curve, ensuring that the response in the high sensitivity range conforms to the expected environmental change characteristics. In a specific embodiment, the value of c is [1, 10]; x is the environmental deviation characteristic variable, a function related to temperature deviation, calculated based on the indoor temperature and the target temperature.

[0060] By employing the aforementioned parameterized nonlinear saturated function model, this disclosure achieves a predictive control effect that is "adaptive from startup." Compared to traditional fixed initial values ​​or simple linear adjustments, this model can automatically match the most suitable initial ventilation intensity based on the current temperature difference, effectively suppressing sudden temperature and humidity changes caused by improper initial airflow configuration. Simultaneously, utilizing the nonlinear characteristics of the saturated function, it remains robust when environmental deviations are large and exhibits sensitivity when deviations approach the target value, thereby ensuring long-term stable growth of the planting environment while reducing mechanical wear and energy consumption fluctuations in ventilation equipment. Furthermore, by substituting the initial value into the recursive logic as the benchmark for the previous cycle, the continuity of the control process in the time dimension and the accuracy of adaptive fine-tuning are ensured.

[0061] Furthermore, according to some embodiments of the adjustment method disclosed herein, the first recursive algorithm further includes: in response to the environmental humidity index returning to within the target humidity index, at the end of the cycle, letting the temperature correction coefficient tf inherit the product of the current temperature correction coefficient tf and the humidity index correction coefficient hf, and resetting the humidity index correction coefficient hf to 1.

[0062] Understandably, based on the above logic, the initial value of the humidity index correction coefficient hf is 1 in response to the initial state.

[0063] This method effectively ensures the continuity of fan speed switching by introducing coefficient inheritance and reset logic. When the indoor humidity level reaches the target value and the system shifts its control priority from humidity to temperature, it allows the fan speed (tf) to absorb the adjustment increment from the fan temperature (HF), avoiding large jumps in fan speed or environmental fluctuations caused by the sudden return of the HF to its normal position. This logic ensures that the ventilation equipment maintains a stable operating state during the transition between different control targets, achieving precise and controllable operation at each speed and every second.

[0064] Furthermore, according to some embodiments of the adjustment method of this disclosure, when the adjustment priority is switched from humidity index adjustment priority to temperature adjustment priority, or in response to the environmental humidity index returning to the allowable range of the target humidity index, at the end of the current cycle, the temperature correction coefficient tf of the next cycle is set to the product of the temperature correction coefficient tf of the current cycle and the humidity index correction coefficient hf, and the humidity index correction coefficient hf of the next cycle is reset to a preset initial value.

[0065] The preset initial value can be 1. Through the above inheritance and reset logic, the level compensation amount accumulated during the humidity index adjustment stage is incorporated into the temperature correction coefficient, so that after the humidity index adjustment priority is switched to the temperature adjustment priority, the adaptive target level will not drop suddenly due to the humidity index correction coefficient suddenly returning to zero, thus maintaining the continuity of the level before and after the switch.

[0066] Similarly, in low-level mode, in response to the change in adjustment priority from humidity index adjustment priority to temperature adjustment priority, or in response to the return of the ambient humidity index to the allowable range of the target humidity index, at the end of the current cycle, the low-level temperature correction coefficient tm of the next cycle is set to the product of the low-level temperature correction coefficient tm of the current cycle and the low-level humidity index correction coefficient hm, and the low-level humidity index correction coefficient hm of the next cycle is reset to the preset initial value.

[0067] Therefore, when switching from humidity-priority adjustment to temperature-priority adjustment, the runtime within a single control cycle in low-level mode can remain continuously changing, avoiding sudden changes in runtime due to hm reset.

[0068] Furthermore, according to some embodiments of the adjustment method of this disclosure, the method for adjusting the ventilation equipment in a planting environment further includes comparing the relationship between the obtained adaptive target level and the physical minimum starting level of the ventilation equipment. In response to the obtained adaptive target level being greater than or equal to the physical minimum starting level of the ventilation equipment, the following step is executed: controlling the ventilation equipment to operate continuously at the adaptive target level. In response to the obtained adaptive target level being less than the physical minimum starting level of the ventilation equipment but greater than zero, the following step is executed: controlling the ventilation equipment to periodically start and stop at the physical minimum starting level, and dynamically adjusting the running time within a single cycle according to the environmental deviation state.

[0069] The physical minimum starting setting refers to the lowest electrical control command limit that the ventilation equipment can maintain stable exhaust airflow. Running time refers to the specific duration for which the fan remains on within a fixed control cycle in pulse regulation mode.

[0070] The method provided in this disclosure achieves continuous speed control of ventilation equipment, ensuring precise and controllable operation at each speed and every second. This effectively solves the problem of inaccurate environmental regulation caused by the limited adjustment speeds and abrupt switching of traditional circulating fans. Addressing the low-volume control blind spot caused by the physical performance limitations of the fan, a pulse mode with dynamically adjusted operating time is adopted. This overcomes the limitation of the minimum physical starting speed of the ventilation equipment, simulating the adjustment effect of extremely low airflow and preventing drastic fluctuations in environmental parameters under low demand.

[0071] According to some embodiments of the adjustment method of this disclosure, the step of dynamically adjusting the runtime within a single cycle includes: Based on the deviation status, the product of the small-level environmental compensation factors is mapped to the running time within a single control cycle using a preset proportional factor; wherein, the proportional factor when humidity index adjustment is given priority is greater than the proportional factor when temperature adjustment is given priority.

[0072] By employing a pulse control method that dynamically adjusts the operating time, this disclosure successfully overcomes the limitation of the physical minimum start-up setting of ventilation equipment, achieving precise simulation of extremely low airflow demands. By setting differentiated proportional factors under different adjustment priorities, the equipment can achieve a higher ventilation response (i.e., longer operating time) when humidity levels exceed the standard, significantly improving dehumidification efficiency under high humidity conditions. This method not only solves the problem of abrupt adjustments in traditional equipment under low airflow demands but also ensures long-term steady-state operation of the planting environment when temperature and humidity levels are close to target values, achieving the technical goal of precise and controllable operation every second.

[0073] Further, according to some embodiments of the adjustment method of the present disclosure, the small gear environmental compensation factor includes a small gear temperature correction coefficient and a small gear humidity index correction coefficient. The process of mapping the product of the small gear environmental compensation factor to the running duration within a single control period using a preset scaling factor includes: In response to the temperature being within a preset safe range and the humidity index exceeding the standard, it is determined as the first operating state, and the running duration is calculated according to the formula: running duration = xa * tm * hm; In response to the temperature deviating from the preset safe range or the humidity index meeting the standard, it is determined as the second operating state, and the running duration is calculated according to the formula: running duration = xb * tm; Where, tm recorded in the present disclosure is the small gear temperature correction coefficient, hm is the small gear humidity index correction coefficient, xa is the first proportional coefficient, and its value range is [1, 10], xb is the second proportional coefficient, and its value range is [1, 5], and the first proportional coefficient is greater than the second proportional coefficient.

[0074] Specifically, when |T_In - T_dTarget| < T_delta and the humidity index exceeds the standard: DFan_t = xa * tm * hm; When |T_In - T_dTarget| ≥ T_delta or the humidity index meets the standard: DFan_t = xb * tm. DFan_t is the running duration within a single control period. In a specific embodiment, the unit control period is 20 - 120 seconds.

[0075] This method successfully simulates the adjustment effect of extremely low air volume through the pulse control method of dynamically adjusting the running duration, effectively solving the technical problem that the fan cannot be accurately controlled below the physical minimum starting gear. By setting different proportional coefficients and distinguishing operating states, the device can obtain a stronger dehumidification response (i.e., a longer running duration) when the temperature is safe and the humidity index exceeds the standard, thus realizing the precise coordination of the temperature control and humidity control logics. This refined control method can not only prevent the drastic fluctuations of environmental parameters under low demand, but also ensure that the planting environment maintains a long-term steady state when the temperature and humidity indexes are close to the target values, significantly improving the flexibility and precision of environmental adjustment.

[0076] Further, according to some embodiments of the adjustment method of the present disclosure, the steps of dynamically adjusting the running duration within a single period specifically further include: In response to the calculated running duration ≥ the preset single control period duration, control the ventilation device to remain常开 within the current control period; In response to the calculated runtime satisfying: the preset minimum opening threshold ≤ runtime < preset single control cycle duration, the ventilation equipment is turned on for the specified runtime seconds and then turned off for the remaining time of the cycle; If the calculated runtime is less than the preset minimum opening threshold, the ventilation equipment is controlled to remain closed during the current control cycle.

[0077] In one specific embodiment, the unit control cycle is 20 to 120 seconds, and the preset minimum opening threshold is 2 seconds.

[0078] By dynamically adjusting the runtime within a single cycle, this disclosure successfully achieves continuous gear control, ensuring precise and controllable operation at each gear level and every second. This method effectively overcomes the limitations of the physical minimum starting gear of ventilation equipment by utilizing pulse start-stop logic, simulating the adjustment effect of extremely low airflow and solving the problem of inaccurate adjustment by traditional equipment under low airflow demands. By setting a minimum opening threshold and a constant-open judgment boundary, it prevents mechanical wear caused by frequent start-stop cycles and ensures long-term steady-state operation of the planting environment when temperature and humidity indicators are close to target values, significantly improving the stability and flexibility of environmental regulation.

[0079] In other embodiments, the runtime DFan_t of the ventilation equipment within a single control cycle is obtained by multiplying the ratio of the gear matched to the air volume demand to the physical minimum gear of the ventilation equipment by the unit control cycle, thereby achieving a simpler calculation process.

[0080] Furthermore, according to some embodiments of the adjustment method disclosed herein, the methods for obtaining the low-level temperature correction coefficient and the low-level humidity index correction coefficient are as follows: In response to the initial state, the initial value of the temperature correction coefficient of the small setting is calculated based on the parameterized nonlinear saturation function model, and the initial value of the humidity index correction coefficient of the small setting is set to a preset constant of 1. Under the operating conditions of the ventilation equipment, the temperature correction coefficient and humidity index correction coefficient at the low setting are inherited from the values ​​at the end of the previous cycle, and are recursively updated according to the current adjustment priority: In response to the determination that humidity index adjustment is prioritized, the correction coefficient of the small-level humidity index is updated using the current humidity index deviation through the third recursive algorithm. In response to the determination that temperature adjustment is the priority, the small-level temperature correction coefficient is updated using the current temperature deviation through the fourth recursive algorithm. In response to the return of the ambient humidity index to within the target humidity index, at the end of the cycle, the low-level temperature correction coefficient inherits the product of the current low-level temperature correction coefficient and the low-level humidity index correction coefficient, and the low-level humidity index correction coefficient is reset to 1.

[0081] Among them, the initial value tm_initial of the small gear temperature correction coefficient tm is calculated using the same parameterized non - linear saturation function model as the temperature correction coefficient tf_initial, satisfying: tm_initial = a_m / (1 + c_m / xm^b_m); Among them, xm is the environmental deviation characteristic variable in the small gear mode, calculated based on the deviation between the indoor temperature and the target temperature; a_m, b_m, and c_m are the response amplitude parameter, shape index, and balance threshold constant in the small gear mode respectively. a_m, b_m, and c_m can be the same as a, b, and c in tf_initial respectively, or can be pre - calibrated according to the operating characteristics of the ventilation equipment at the physical minimum start gear. In a specific embodiment, in response to the indoor temperature being lower than the target temperature (T_In < T_dTarget), the predicted value is calculated through the parameterized non - linear saturation function model; in response to the indoor temperature reaching or exceeding the standard (T_In ≥ T_dTarget), the initial value of the small gear temperature correction coefficient takes the maximum value.

[0082] This method realizes high - precision fitting of the ventilation equipment under extremely low air volume requirements by introducing complex recursive update and inheritance logic in the small gear mode, and solves the problem of the regulation failure of traditional equipment below the physical minimum start gear. Through the "inheritance and reset" logic, it ensures that when the system switches from humidity index regulation to temperature regulation, the fan running time can smoothly transition, avoiding gear jumps or violent environmental oscillations caused by target switching. Using the parameterized non - linear saturation model to determine the initial value realizes the function of adapting immediately after startup, enabling the equipment to automatically match the most suitable ventilation intensity according to the current temperature difference, significantly improving the long - term stability and regulation sensitivity of the planting environment when the temperature and humidity indexes are close to the target values.

[0083] Furthermore, according to some embodiments of the adjustment method of the present disclosure, determining the current adjustment priority further includes the following steps: In response to the temperature in the planting environment being within the preset safety range and the humidity index exceeding the standard, it is determined that the humidity index adjustment has priority; In response to the temperature in the planting environment deviating from the preset safety range or the humidity index reaching the standard, it is determined that the temperature adjustment has priority; In response to the temperature in the planting environment deviating from the preset safety range and the humidity index exceeding the standard, it is determined that the temperature adjustment has priority.

[0084] In some embodiments, the above - mentioned steps for determining the adjustment priority can be executed on the premise that the environmental thermal state meets the stationarity criterion. Specifically, in response to T_range < T_range_calc, it is determined that the planting environment thermal state meets the stationarity criterion.

[0085] Specifically, in response to |T_In - T_dTarget| < T_delta, it is determined that the temperature in the planting environment is within the preset safe zone; In response to H_In deviating from the target humidity index to the side where enhanced water vapor state regulation is required, it is determined that the humidity index in the planting environment exceeds the standard; In response to T_range < T_range_calc, determine whether the thermal state of the planting environment satisfies the stationarity criterion; In response to |T_In - T_dTarget|≥T_delta, it is determined that the temperature in the planting environment deviates from the preset safe range; If H_In is within the allowable range of the target humidity index, it is determined that the humidity index in the planting environment meets the standard.

[0086] Furthermore, according to some embodiments of the adjustment method disclosed herein, the third recursive algorithm includes: calculating the absolute value of the ratio of the difference between the internal humidity index H_In and the external humidity index H_Out of the planting environment in the current cycle to the difference between the target humidity index H_Target and the external humidity index H_Out of the planting environment, to obtain the humidity index increment coefficient ha, which satisfies the following formula: ha=|(H_In - H_Out) / (H_Target - H_Out)|; Multiply the previous cycle's small-level humidity index correction coefficient hm by the calculated humidity index increment coefficient ha to obtain the recursively updated small-level humidity index correction coefficient hm, which satisfies the following formula: hm = hm (old) * ha; The fourth recursive algorithm includes: The absolute value of the ratio of the difference between the internal temperature of the planting environment (i.e., indoor temperature T_In) and the external temperature of the planting environment (i.e., outdoor temperature T_Out) during this cycle to the difference between the target temperature T_dTarget and the external temperature of the planting environment (i.e., outdoor temperature T_Out) is used to obtain the temperature increment coefficient ta, which satisfies the following formula: ta=|(T_In - T_Out) / (T_dTarget - T_Out)|; Multiply the previous cycle's small-level temperature correction coefficient by the calculated temperature increment coefficient to obtain the recursively updated small-level temperature correction coefficient, which satisfies the following formula: tm = tm (old) * ta.

[0087] In the low-level mode, the humidity index increment coefficient ha and temperature increment coefficient ta in the third and / or fourth recursive algorithms can also be limited by the above-mentioned preset upper and lower limits, and the low-level humidity index correction coefficient hm or low-level temperature correction coefficient tm is updated based on the limited increment coefficient.

[0088] Furthermore, according to some embodiments of the adjustment method of this disclosure, when the ventilation equipment is controlled to periodically start and stop at the physical minimum start-up level, in response to the running time reaching the preset single control cycle duration, i.e., being in full load state, and the temperature or humidity index is still continuously deviating from the target value, the temperature correction coefficient tf is updated through a recursive algorithm to attempt to break through the physical minimum start-up level limit, thereby guiding a smooth return to the normal level mode.

[0089] According to some embodiments of the adjustment method disclosed herein, in response to a change in the adaptive target gear, the current gear is locked within a preset locking period. In some specific embodiments, the preset locking period is 120 to 200 seconds.

[0090] Furthermore, according to some embodiments of the adjustment method of this disclosure, when the obtained adaptive target level is greater than or equal to the physical maximum level of the ventilation equipment, the ventilation equipment is controlled to operate at the physical maximum level.

[0091] Furthermore, according to some embodiments of the adjustment method of this disclosure, when the ventilation equipment is controlled to operate at its physical maximum setting, in response to the indoor temperature being lower than the target temperature, the temperature correction coefficient needs to be updated through a second recursive algorithm so that the setting can be reduced to below the maximum value in the next calculation, thereby achieving a smooth transition to the normal setting mode. By setting the maximum airflow mode and its smooth transition logic, it is ensured that the system can correct deviations with maximum efficiency under extreme deviation conditions (such as excessive heat generation from lighting fixtures), and achieve seamless setting return by using the recursively updated temperature correction coefficient when approaching the target value, avoiding environmental shocks caused by sudden setting jumps.

[0092] Furthermore, according to some embodiments of the regulation method of this disclosure, in response to the initial state, the theoretical required ventilation volume to maintain the target temperature is calculated based on an energy balance model; When the theoretical required air exchange volume is greater than the preset maximum exhaust capacity threshold or less than 0, that is, when the outdoor temperature is higher than the target temperature, it is determined to enter the maximum air volume mode and lock the adaptive target level to the maximum level. In response to the theoretical required ventilation volume satisfying: 0 ≤ theoretical required ventilation volume ≤ maximum exhaust capacity threshold, the theoretical required ventilation volume is mapped to the theoretical basic level. If the theoretical base setting is greater than or equal to the physical minimum starting setting, the ventilation equipment is ordered to enter the normal setting mode. If the theoretical base setting is less than the physical minimum starting setting, the ventilation equipment is determined to enter the low setting mode.

[0093] This method achieves precise and automatic switching of ventilation equipment operation modes by introducing feedforward prediction of the energy balance model in the initial state, effectively solving the problems of blind adjustment and large fluctuations in temperature / humidity indicators in traditional equipment during the start-up phase.

[0094] Furthermore, according to some embodiments of the adjustment method of this disclosure, in response to T_dTarget=T_Out, the calculation of the theoretical demand ventilation volume based on the theoretical demand ventilation volume formula is stopped, and the current gear or the theoretical base gear of the previous cycle is maintained.

[0095] On the other hand, according to some embodiments of this disclosure, a controller is also provided, the controller including a processor and a memory, wherein the memory is used to store program instructions, and the processor is used to invoke the program instructions to execute the planting environment ventilation device adjustment method as described in one or more of the foregoing embodiments.

[0096] Figure 2 This is a schematic diagram of the hardware structure of the ventilation equipment adjustment device for the planting environment according to an embodiment of this application. Figure 2 The controller 5000 shown includes a memory 5001, a processor 5002, a communication interface 5003, and a bus 5004. The memory 5001, processor 5002, and communication interface 5003 are interconnected via the bus 5004.

[0097] The memory 5001 can be a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 5001 can store programs. When the program stored in the memory 5001 is executed by the processor 5002, the processor 5002 and the communication interface 5003 are used to execute various steps of the planting environment ventilation equipment adjustment method of this application embodiment, such as calculating the theoretical required air exchange rate V_flow based on an energy balance model.

[0098] The processor 5002 can be a general-purpose central processing unit (CPU), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits to execute relevant programs to achieve the functions required by the units in the adjustment device of this application embodiment, such as recursively updating environmental compensation factors (e.g., temperature correction coefficient tf, humidity index correction coefficient hf) or performing initial coefficient calculation based on a parameterized nonlinear saturation function model.

[0099] The processor 5002 can also be an integrated circuit chip with signal processing capabilities. In implementation, each step of the planting environment ventilation equipment adjustment method of this application embodiment can be completed by the integrated logic circuit in the processor 5002 or by software instructions. For example, by mapping the product of the environmental compensation factor to the runtime DFan_t within a single control cycle through a scaling factor, pulse regulation in low-speed mode can be achieved.

[0100] The processor 5002 described above can also be a general-purpose processor, a digital signal processor (DSP), an ASIC, an off-the-shelf programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. The general-purpose processor can be a microprocessor or any conventional processor. The method steps disclosed in the embodiments of this application can be directly manifested as hardware decoding and processor execution, or execution using a combination of hardware and software modules. The software modules can reside in mature storage media in the art, such as random access memory, flash memory, or registers. This storage medium is located in memory 5001. The processor 5002 reads information from memory 5001 and, in conjunction with its hardware, completes the functions required by the units included in the device of this application.

[0101] The communication interface 5003 uses a transceiver device, such as, but not limited to, a transceiver, to enable communication between the device 5000 and other devices (such as ventilation equipment, temperature sensors, and humidity sensors) or communication networks. For example, environmental parameters such as the internal temperature T_In, external temperature T_Out, and light intensity of the planting environment can be obtained through the communication interface 5003.

[0102] Bus 5004 may include a pathway for transmitting information between various components of controller 5000 (e.g., memory 5001, processor 5002, communication interface 5003).

[0103] This application also provides a non-transitory computer-readable storage medium storing a computer program or program code thereon. When the program code is executed by a processor, it can implement the method for adjusting the ventilation equipment of the planting environment described in one or more of the foregoing embodiments. The storage medium may include, but is not limited to, various non-transitory media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0104] The program code stored in this storage medium covers the core fine-tuning logic of this disclosure. Specifically, the program code includes instructions for performing the following operations: invoking a parameterized nonlinear saturation function recursive update algorithm to continuously optimize the environmental compensation factor by fine-tuning the step size (temporary incremental coefficient ta / ha).

[0105] In addition, the storage medium also contains embedded low-level pulse control logic for extremely low airflow requirements. The program code calculates the runtime DFan_t within a single control cycle, instructs the ventilation equipment to perform start-stop operations with precision down to the second, and uses a scaling factor to distinguish between humidity-priority and temperature-priority adjustment states.

[0106] Although the above-described device 5000 only shows a memory, processor, and communication interface, those skilled in the art should understand that in specific implementations, the device may also include other components necessary for normal operation (such as physical connections with sensors and ventilation fan control systems). Furthermore, depending on specific needs, those skilled in the art should understand that the device may also include hardware components for implementing other additional functions (such as remote monitoring and data analysis). Moreover, those skilled in the art should understand that the device may only include the components necessary for implementing the embodiments of this application, and not necessarily all the components shown.

[0107] The processor in this application embodiment can be a central processing unit (CPU), but it can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor. The processor is used to execute key algorithm steps in this application, such as energy balance model calculations.

[0108] The memory in this application embodiment can be volatile memory or non-volatile memory, or it can include both volatile and non-volatile memory. The non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory can be random access memory (RAM), which is used as an external cache. The memory is used to store adaptive parameters that are continuously updated during operation, such as the temperature correction factor (tf).

[0109] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated, such as implementing a refined ventilation adjustment process where "every level and every second is controllable." The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired or wireless means.

[0110] In various embodiments of this application, the order of the above-mentioned process numbers does not imply the order of execution; the execution order of each process should be determined by its function and internal logic.

[0111] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution (such as fine requirements for tolerance to temperature and humidity fluctuations).

[0112] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0113] In the description of the embodiments of this application, the technical terms "first XX" and "second XX", such as "first environment stage" and "second environment stage", are only used to distinguish different objects and should not be construed as indicating or implying relative importance or implicitly indicating the number, specific order or primary and secondary relationship of the indicated technical features.

[0114] In this disclosure, the reference to "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0115] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and not to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. These modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application, and they should all be covered within the scope of the claims and specification of this application. In particular, as long as there is no structural conflict, the various technical features mentioned in the embodiments can be combined in any way. This application is not limited to the specific embodiments disclosed herein, but includes all technical solutions falling within the scope of the claims.

Claims

1. A method for adjusting ventilation equipment in a planting environment, characterized in that, Includes the following steps: To obtain the theoretical basis for maintaining the target state of the planting environment; The environmental deviation of the planting environment is periodically acquired, and the environmental compensation factor is recursively updated based on the environmental deviation. The theoretical base gear is adjusted by using the environmental compensation factor of the current cycle to obtain the adaptive target gear. The ventilation equipment is then set to operate at the adaptive target setting.

2. The method for adjusting ventilation equipment in a planting environment as described in claim 1, characterized in that, The environmental compensation factor includes a temperature correction coefficient and a humidity index correction coefficient. The step of recursively updating the environmental compensation factor based on the environmental deviation includes: Based on the aforementioned environmental deviations, determine the current adjustment priority and periodically execute the following recursive correction logic: In response to the determination that humidity index adjustment is prioritized, the humidity index correction coefficient is updated through the first recursive algorithm. In response to the determination that temperature regulation is prioritized, the temperature correction coefficient is updated through the second recursive algorithm; The updated temperature correction factor and humidity index correction factor are used as the environmental compensation factor for the current period.

3. The method for adjusting ventilation equipment in a planting environment as described in claim 2, characterized in that, Determining the current adjustment priority also includes the following steps: If the temperature in the planting environment is within a preset safe range and the humidity index exceeds the standard, it is determined that the humidity index adjustment should be prioritized. If the temperature in the planting environment deviates from the preset safe range or the humidity index meets the standard, it is determined that temperature adjustment is prioritized. If the temperature in the planting environment deviates from the preset safe range and the humidity exceeds the standard, it is determined that temperature adjustment should be prioritized.

4. The method for adjusting ventilation equipment in a planting environment as described in claim 3, characterized in that, In response to the environmental thermal state satisfying the stability criterion, the step of determining the adjustment priority is executed.

5. The method for adjusting ventilation equipment in a planting environment as described in claim 2, characterized in that, The first recursive algorithm includes: The absolute value of the ratio of the difference between the internal humidity index and the external humidity index of the planting environment in this cycle to the difference between the target humidity index and the external humidity index of the planting environment is used to obtain the humidity index increment coefficient. Multiply the humidity index correction coefficient of the previous period by the calculated humidity index increment coefficient to obtain the recursively updated humidity index correction coefficient. The second recursive algorithm includes: The absolute value of the ratio of the difference between the internal temperature and the external temperature of the planting environment in this cycle to the difference between the target temperature and the external temperature of the planting environment is used to obtain the temperature increment coefficient. The temperature correction coefficient of the previous cycle is multiplied by the calculated temperature increment coefficient to obtain the recursively updated temperature correction coefficient.

6. The method for adjusting ventilation equipment in a planting environment as described in claim 2, characterized in that, The steps for gain correction of the theoretical base gear are as follows: The adaptive target level for the planting environment is calculated by multiplying the theoretical level by the temperature correction coefficient and the humidity correction coefficient.

7. The method for adjusting ventilation equipment in a planting environment as described in claim 6, characterized in that, In response to the change in adjustment priority from humidity index adjustment priority to temperature adjustment priority, or in response to the return of the humidity index to the allowable range of the target humidity index, at the end of the current cycle, the temperature correction coefficient of the next cycle is set to the product of the temperature correction coefficient and the humidity index correction coefficient of the current cycle, and the humidity index correction coefficient of the next cycle is reset to the preset initial value, so that the adaptive target level after the switch is continuous with the adaptive target level before the switch.

8. The method for adjusting ventilation equipment in a planting environment as described in claim 5, characterized in that, The first recursive algorithm and / or the second recursive algorithm further include: If the calculated humidity index increment coefficient or temperature increment coefficient is greater than the preset upper limit value, the corresponding increment coefficient is set to the preset upper limit value. If the calculated humidity index increment coefficient or temperature increment coefficient is less than the preset lower limit value, the corresponding increment coefficient is set to the preset lower limit value. The humidity index correction coefficient or temperature correction coefficient is recursively updated based on the set humidity index increment coefficient or temperature increment coefficient.

9. A controller, comprising: a processor and a memory, characterized in that, The memory is used to store program instructions, and the processor is used to call the program instructions to execute the method for adjusting the ventilation equipment in the planting environment as described in any one of claims 1 to 8.

10. A non-transitory computer-readable storage medium, characterized in that, The non-transitory computer-readable medium stores program code executable by the device, the program code being used to perform the method for adjusting the ventilation equipment in the planting environment as described in any one of claims 1 to 8.

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