A sunshade and ventilation collaborative control method based on environmental parameter analysis

Abstract

The present application relates to non-electric variable control or regulation system, disclose a kind of sunshade and ventilation collaborative control method based on environmental parameter analysis, comprising: the internal and external temperature difference data of controlled environment and the current physical opening of ventilation window are collected, asymmetric following calculation is executed to generate virtual opening value;With virtual opening value and internal and external temperature difference data, in the preset heat dissipation characteristic data table index maximum allowed heat dissipation power is obtained, and it is defined as the upper limit of sunshade light transmission amount allowed;Real-time monitoring sunshade light transmission amount target instruction, when the input power corresponding to target instruction is greater than the upper limit of sunshade light transmission amount allowed, the driving signal of sunshade device is limited within the upper limit of sunshade light transmission amount allowed, the present application establishes asymmetric energy permission mechanism based on physical response time lag, avoids the risk of controlled environment temperature transient overshoot caused by actuator action lag or flow field unsteady state, realizes the heat safety protection of precision light and heat sensitive environment.

Description

Technical Field

[0001] This invention relates to a method for coordinated control of shading and ventilation based on environmental parameter analysis, belonging to the technical field of control or regulation systems for non-electrical variables. Background Technology

[0002] In current precision agriculture, intelligent building lighting, and constant temperature processes in sunrooms, maintaining a dynamic balance between solar radiation intensity and environmental thermodynamic parameters is crucial for ensuring environmental comfort. Current mainstream technologies employ a dual closed-loop feedback control strategy. This strategy uses a current-driven unit to adjust the shading components to maintain the target shading and light transmission. Based on feedback signals from environmental temperature sensors, it adjusts the mechanical clearance opening of the ventilation channels to control the heat dissipation airflow, counteracting the heat effect introduced by light radiation and maintaining environmental stability. This control method meets basic thermal balance requirements under steady-state conditions and is widely used in various industrial-grade photothermal synergy equipment.

[0003] Existing technologies are mostly limited to static or quasi-static intervention of physical variables, making it difficult to adapt to highly dynamic process requirements. A utility model patent with authorization announcement number CN204208772U discloses a conventional ventilation device that uses a damper adjustment plate at the exhaust hood's outlet, adjusting the outlet's geometry with screws. This method, based on the physical position adjustment of mechanical components, is a single, steady-state, open-loop preset. Such devices lack a real-time linkage mechanism with the variable power process of shading devices, failing to perceive the actual establishment process of fluid heat dissipation capacity. Faced with complex and variable solar intensity fluctuations, the rigid physical opening setting cannot meet the requirements of refined thermal management. As processes demand higher speeds for dynamic light intensity adjustment and higher environmental steady-state accuracy, control strategies based on the synchronous response assumption expose the inherent time-scale asymmetry of the physical mechanism. This leads to fundamental defects. The adjustment of shading and light transmission is an electronically controlled process with a response time in milliseconds. The adjustment of ventilation windows involves the displacement of mechanical actuators, which is limited by the fluid inertia required for natural wind to establish a steady-state turbulent heat exchange field from rest, resulting in a response time in seconds. When the system responds to the power increase command, if the controller only introduces high-intensity solar radiation based on the mechanical damper position signal, the heat dissipation flow field has not yet been fully established. A momentary scissor difference is formed between the huge energy injection and the delayed dissipation capacity. The physical timing mismatch causes the controlled ambient temperature or ambient temperature to experience an uncontrollable transient overshoot in a short period of time, resulting in transient thermal shock. Simply increasing the fan power or using a lead correction algorithm can alleviate the steady-state error to some extent, but it cannot solve the problem of the mismatch between the fluid medium inertial lag and the dynamic response, which can easily induce oscillations and divergence in the control system.

[0004] Therefore, how to construct an asymmetric collaborative control strategy between an active adaptive compensation physical actuator and the fluid medium response inertia to ensure safe dynamic adjustment of shading and light transmission under the premise of steady state of multidimensional environmental parameters has become the technical problem to be solved by this invention. Summary of the Invention

[0005] To address the problems mentioned in the background art, the technical solution of the present invention is as follows: A method for coordinated control of shading and ventilation based on environmental parameter analysis, comprising the following steps:

[0006] Collect data on the temperature difference between the inside and outside of the controlled environment and the current physical opening of the ventilation windows;

[0007] Asymmetric following calculations are performed to generate virtual opening values. The calculation follows the following logic: when the current physical opening is increasing, a preset rising slope limit is applied to the rate of change of the virtual opening value, so that it is linearly accumulated over time steps to approximate the current physical opening; when the current physical opening is decreasing, the virtual opening value follows the current physical opening without delay.

[0008] Using the virtual opening value and the internal and external temperature difference data, the maximum allowable heat dissipation power under the current working condition is obtained by indexing the preset heat dissipation characteristic data table, and the maximum allowable heat dissipation power is defined as the upper limit of the allowable shading and light transmission.

[0009] The system monitors the target shading light transmittance command in real time. When the input power corresponding to the target shading light transmittance command is greater than the upper limit of the allowable shading light transmittance, the drive signal of the shading device is limited to within the upper limit of the allowable shading light transmittance until the upper limit of the allowable shading light transmittance determined after the virtual opening value is updated is not less than the input power.

[0010] Preferably, in the step of performing asymmetric following calculation, the virtual opening value The calculation follows the following discretization logic: ,in, For a moment The current physical aperture, To control the cycle, This is a preset slope limiting constant, which corresponds to the time constant for the cooling medium to establish a steady-state flow field.

[0011] Preferably, the heat dissipation characteristic data table is a pre-calibrated multidimensional lookup table, which records the steady-state heat dissipation power values ​​under different ambient temperature differences and different ventilation window openings; the step of determining the allowable upper limit of shading light transmission includes using virtual opening values ​​to perform table lookup or linear interpolation calculations in the lookup table.

[0012] Preferably, before determining the allowable upper limit of shading light transmittance, the method further includes performing an online correction step based on the temperature rise rate deviation: identifying a steady-state period in which both the shading light transmittance target command and the ventilation window remain constant for a duration exceeding a preset threshold; calculating the actual rate of change of the controlled ambient temperature during the steady-state period, and calculating the theoretical rate of change based on the current shading light transmittance and heat dissipation characteristic data table; comparing the actual rate of change with the theoretical rate of change, and generating a correction coefficient when the difference between the two indicates that the ambient temperature rise rate is faster than theoretically expected; and using the correction coefficient to derate the heat dissipation power values ​​in the heat dissipation characteristic data table.

[0013] Preferably, the step of generating the correction coefficient adopts a negative feedback adjustment strategy, the value of the correction coefficient depends on the magnitude of the deviation of the actual rate of change from the theoretical rate of change, and the correction coefficient is updated in the non-volatile memory of the controller.

[0014] Preferably, the step of determining the allowable upper limit of shading light transmission further includes executing multi-dimensional constraint logic: obtaining the measured value of the second non-electrical variable other than temperature in the controlled environment and the set target value of the variable; calculating the maximum safe opening of the ventilation window based on the set target value; if the current physical opening of the ventilation window is greater than the maximum safe opening, then when calculating the allowable upper limit of shading light transmission, the maximum safe opening is forcibly used to replace the virtual opening value for table lookup, so as to prioritize meeting the control requirements of the second non-electrical variable.

[0015] Preferably, the method further includes a dead-zone filtering step: during operation when the target command for shading light transmittance remains unchanged, a dead-zone range is set based on the current input power of shading light transmittance; when the heat dissipation demand value calculated by the heat dissipation characteristic data table exceeds the dead-zone range, the controller outputs a control signal to change the physical opening of the ventilation window.

[0016] Preferably, the preset rise slope limit is pre-configured based on the heat capacity parameters of the controlled environment and the fluid characteristic parameters of the ventilation system, and the value of the rise slope limit is less than the maximum operating speed of the drive motor corresponding to the ventilation window.

[0017] Preferably, the method is executed cyclically in a digital controller with a fixed control cycle, and the calculation frequency of the upper limit of the allowable amount of shading and light transmission is synchronized with the sampling frequency of the physical opening of the ventilation window.

[0018] Preferably, the second non-electric variable is the relative humidity or gas concentration value in the controlled environment, and the multi-dimensional constraint logic ensures that the output power of the shading light transmittance is limited by the minimum ventilation conditions required to maintain the target value of the second non-electric variable.

[0019] Compared with the prior art, the beneficial effects of the present invention are:

[0020] 1. In the coordination of shading and light transmission with ventilation windows, this method establishes an asymmetric control timing sequence that follows the principle of energy conservation and dissipation first. It identifies and physically compensates for the time scale difference between the millisecond-level response of the electronically controlled shading and light transmission and the second-level response of the mechanical ventilation window and fluid flow field. The shading and light transmission increase action is locked at the moment when the ventilation window is physically in place and the heat dissipation capacity is confirmed to meet the requirements by referring to a table. A virtual damping for fluid inertia is constructed in the controller to keep the energy input rate within the actual heat dissipation envelope established at the current moment. It does not release energy immediately following the target command, thus avoiding transient overshoot of the controlled environment temperature caused by the lag of the actuator or the unsteady state of the flow field. This ensures absolute thermal safety during the adjustment process of the photosensitive process environment under changing operating conditions.

[0021] 2. Complex nonlinear thermodynamic coupling relationships are pre-defined as discretized dissipation characteristic data tables. The lookup index values ​​are used as hard permissible thresholds for shading light transmission. The traditional real-time decoupling operation relying on solving high-order differential equations is transformed into deterministic numerical comparison and inequality constraint. This reduces the computing power requirements of the control algorithm on the microprocessor and avoids iterative divergence or computational delays that may occur on edge computing devices due to complex models. A defensive strategy of constraining dynamic control behavior with static safety boundaries is established. Under the condition of fluctuations in sensor signals or severe environmental disturbances, the control logic based on the pre-calibrated characteristic table ensures that the system output state always converges within the thermal equilibrium safety domain, thus meeting the dual requirements of high reliability and low hardware cost in engineering sites.

[0022] 3. By utilizing the residual between the measured rate of change of ambient temperature within the steady-state window and the theoretical rate of change derived from the feature table, an online health diagnosis and parameter self-healing loop that reuses existing temperature data is constructed. Dust filter blockage or fan wear leads to a decline in actual heat dissipation efficiency. By capturing abnormal deviations in the temperature rise rate, an automatic derating coefficient is generated and the permissible threshold for shading and light transmission is compressed. Based on the physical fact feedback model correction mechanism, the control strategy dynamically follows the natural aging curve of the equipment's physical performance, preventing the risk of hidden overheating caused by the mismatch between the fixed control model and the deteriorated physical entity, and ensuring the inherent safety of the equipment under long-term operation and maintenance-deficient conditions. Attached Figure Description

[0023] Figure 1 This is a flowchart of the cooperative control process for asymmetric follower computation in this invention.

[0024] Figure 2 This is a comparison diagram of the asymmetric responses of the physical aperture and the virtual aperture of the present invention;

[0025] Figure 3 This is a system architecture diagram for the control strategy of achieving absolute thermal safety in this invention. Detailed Implementation

[0026] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to specific embodiments. It should be understood that the specific embodiments described herein are only for explaining this invention and are not intended to limit this invention.

[0027] This invention provides a method for coordinated control of shading and ventilation based on environmental parameter analysis. Running within a digital controller with computational processing capabilities, it constructs a virtual variable simulating the hysteresis characteristics of fluid thermal response within the control algorithm. This constrains the adjustment of the high-response-speed energy input variable (shading light transmittance) within the effective domain of the low-response-speed energy dissipation variable (ventilation window), thus physically addressing the thermal shock problem caused by time-scale asymmetry. Addressing the risk of heat accumulation due to the time difference between the mechanical actuator's arrival and the establishment of the heat dissipation flow field in existing technologies, this invention employs a virtual opening calculation procedure based on asymmetric following logic. The controller executes a data acquisition step, using temperature sensors to obtain the internal and external ambient temperatures of the controlled environment, and calculates the internal and external temperature difference data. Meanwhile, the controller obtains the current physical opening degree of the ventilation window through the position feedback signal of the actuator. Based on this, the controller does not directly use the current physical opening. Instead of assessing heat dissipation capacity, it calculates virtual opening values. The calculation process follows the following defined algorithmic logic: in each control cycle Inside, the system compares the current physical opening. Virtual opening value compared to the previous control cycle When judged When the system identifies a power-up cooling request, it applies a preset rate-of-rise limit to the rate of change of the virtual opening value. The specific calculation formula is as follows: in This is a preset slope limiting constant. The value of is determined through offline calibration experiments, specifically by measuring the time constant required for the cooling medium to accelerate from a static state to a steady-state turbulent heat exchange state. and will Set as the opening value corresponding to the full travel of the channel divided by this time constant. This procedure ensures that even when the physical dampers are fully open, It continues to slowly climb according to the physical laws of fluid dynamics to characterize the actual effective heat dissipation capacity at the current moment; conversely, when determining... When the system identifies the system as operating in a reduced-power safety mode, it adjusts the virtual opening value to match the current physical opening value. This asymmetric logic ensures that the system shrinks its energy allowance boundary when the heat dissipation capacity is expected to decrease.

[0028] To transform virtual opening values ​​into specific control constraints, this embodiment of the invention pre-sets a heat dissipation characteristic data table and stores it in a two-dimensional matrix in non-volatile memory. The row indices correspond to different virtual opening values, the column indices correspond to different internal and external temperature differences, and the cell values ​​represent the maximum allowable heat dissipation power that the system can maintain thermal balance under that operating condition. The controller utilizes the data obtained in real-time... and collected The data table is searched; the thermal characteristics data table is stored in a specific sector of the MCU's on-chip Flash memory, and the address indexing logic will... and The data is quantized into a 16-bit physical address pointer, and the Direct Memory Access (DMA) controller bypasses the CPU to fetch matrix node data. The DSP core's single-cycle multiply-accumulate unit (MAC) performs bilinear interpolation. The interpolation result is then formatted using a Q15 fixed-point number formatter before being output, eliminating random latency in floating-point operations and ensuring the control loop is functioning correctly. Real-time determinism at refresh rate: When the input value is located between table nodes, a bilinear interpolation algorithm is used to calculate the precise value, and the result is defined as the upper limit of allowable shading and light transmission at the current moment. The controller executes the energy permission arbitration procedure, and the system monitors the target shading and light transmittance commands from the upper-level application in real time. And compare the input power corresponding to the instruction with the upper limit of the allowable shading light transmittance. ,like Greater than The controller will ignore the original command and generate a restricted drive signal, thus clamping the output power of the sunshade device to a certain level. The horizontal drive signal generation circuit is connected in series with the hardware watchdog and logic threshold module, which will... Mapped to the PWM duty cycle threshold register value, the comparator circuit compares the target instruction duty cycle with the threshold register in each clock cycle. When the target value exceeds the threshold, the hardware AND gate directly cuts off the gate trigger signal of the driving MOS transistor, and the physical layer shields the high-energy pulse output to ensure that the energy output channel is in a normally closed state in the event of a main control chip crash or software pointer malfunction. Over time, the virtual opening value... Gradually accumulate and make Gradually improve, until Not less than At that time, the power of the sunshade device is allowed to smoothly transition to the target value.

[0029] Considering the potential physical performance degradation of the equipment during long-term operation, this embodiment of the invention includes an online correction procedure based on thermal inertia residuals. The controller periodically identifies whether the system is in a steady-state window, defined as a window where both the target command for shading light transmittance and the physical opening of the ventilation window remain constant for a duration exceeding a preset threshold, such as when set to... During the diagnostic window, the controller calculates the actual rate of change of the controlled ambient temperature. Simultaneously, based on the theoretical heat dissipation data in the current shading light transmittance input power and heat dissipation characteristic data table, the theoretical rate of change is calculated using the heat capacity model. The system compares these two rates of change. When the actual temperature rise rate is higher than the theoretical expectation and the deviation exceeds the preset safety tolerance, the controller generates a value less than [a certain value]. Correction coefficient The coefficient The calculation follows a negative feedback regulation law; the larger the deviation, the smaller the coefficient. The controller uses this correction coefficient to multiply all power values ​​in the heat dissipation characteristic data table to achieve global derating. This step enables the decision-making benchmark of the control system to dynamically adapt to the actual physical state of the equipment, preventing overheating risks caused by model mismatch. In addition, for application scenarios with requirements for humidity or specific gas concentrations, this embodiment of the invention also executes multi-dimensional constraint logic. The controller obtains the measured value of the second non-electrical variable besides temperature, namely relative humidity or gas concentration, and its set target value. Based on the pre-established material loss rate model, the controller calculates in reverse the maximum safe opening of the ventilation window to maintain the second non-electrical variable at or above the target value. In the process of determining the upper limit of allowable light transmission under shading, if the current physical or virtual opening value is greater than... The controller uses As the index key for table lookup, this logic ensures that the system, in the process of pursuing thermal balance, does not disrupt the steady state of other key environmental parameters due to excessive opening of ventilation channels, thus achieving system-level safety control in a multivariable coupled environment. Finally, to avoid frequent actions of the actuator near the steady state, the controller integrates dead-zone filtering logic. During operation when the target command for shading and light transmission remains unchanged, the system sets a power dead-zone range based on the current input power of shading and light transmission, which is set to 5% of the current power. When the ambient temperature changes and causes the heat dissipation demand value obtained from the table lookup to exceed this dead-zone range, the controller outputs a control signal to change the physical opening of the ventilation window, thus extending the service life of the motor and mechanical transmission components.

[0030] Example 1: This example selects greenhouse crop cultivation, which has extremely high requirements for thermal stability, as a verification scenario. In this scenario, the process specifications require the shading device to open within milliseconds after receiving the light-collecting signal to introduce sunlight and ensure photosynthetic efficiency. At the same time, the temperature fluctuation range of the controlled environment is limited to an extremely narrow range to prevent thermal deformation of the substrate. This requirement for high response speed to energy input conflicts with the inherent physical timing of establishing a steady-state flow field in the fluid heat dissipation medium. When the system receives the full-power opening command, the mechanical actuator drives the ventilation window to its current physical opening degree. When a sudden increase occurs within a short period of time, the controller does not directly release the power limit on the sunshade device based on this physical state. Instead, it activates the fluid inertia virtual model construction module, based on a specific time constant that has been pre-calibrated experimentally to characterize the time required for the cooling medium to go from rest to establishing steady-state turbulence. Determine the limiting constant of the ascending slope. Based on this, the virtual opening value that grows linearly with the time step is calculated. The asymmetric energy licensing arbitration module utilizes this virtual opening value. The maximum allowable amount of sunlight transmission for the current moment can be obtained by indexing the preset heat dissipation characteristic data table. The driving power of the sunshade device is then clamped within this dynamically rising upper limit until the virtual opening value completely matches the physical opening value.

[0031] Example 2: This example aims to verify the thermal safety performance and steady-state control of the above-mentioned asymmetric cooperative control method under typical photosensitive process scenarios. To this end, an experimental platform simulating the photothermal environment of a real sunroom was built, including a controlled chamber with an insulated enclosure structure. A high-response thermocouple array is deployed inside to monitor the ambient temperature, and a high-precision displacement sensor is used to record the opening of the ventilation windows in real time. The shading device system uses a high-power UV-LED module with adjustable rated power. The cooling system consists of a precision damper driven by a servo motor and a constant-speed fan. The main purpose of the experiment is to compare the differences in thermal shock suppression and temperature stability between the asymmetric cooperative control method proposed in this invention (the present invention sample group) and the traditional control method based on physical position feedback (the comparison sample group) under the same operating condition disturbance. The core parameters of the experiment are set as follows: control period... Set as To balance the calculation load and response speed, the time constant of the cooling medium. The step response was determined by the experiment. The constant of the rising slope Based on this, it is calculated to be per second. The full-range opening, the target command for shading and light transmission is set from... Mutation to A step signal at full power output.

[0032] After the experiment started, the system detected a step change in the target command for shading light transmittance. In the comparative sample group, the controller released all light power after detecting that the physical opening of the ventilation window had reached the target value. However, in the sample group of this invention, the controller released all light power based on the virtual opening value. Gradually increase the allowable upper limit of shading and light transmittance; during the experiment, two different temperature response curves were observed. The controllable ambient temperature of the comparison sample group showed a significant transient overshoot at the moment of light power release, with the peak temperature exceeding the set target value by approximately [value missing]. After multiple oscillations, the fluid slowly converges to a steady state. This phenomenon is directly attributed to the fact that when the physical damper is in place, the fluid heat dissipation flow field has not yet been fully established, leading to heat accumulation. In contrast, the temperature curve of the sample group of this invention shows a smooth upward trend without obvious overshoot, and the temperature deviation remains at the target value throughout the entire process. Table 1 shows the comparison data of key performance indicators under the two control strategies.

[0033] Table 1: Comparison of Key Performance Indicators

[0034]

[0035] Data analysis shows that the present invention, by introducing a fluid inertia virtual model, compensates for the time difference between mechanical action and fluid response, eliminates heat accumulation caused by timing mismatch, and significantly reduces transient temperature overshoot (from...). Down to (and the shortening of steady-state establishment time).

[0036] Example 3: This example combines Figures 1 to 3 This paper describes a method for coordinated control of shading and ventilation based on environmental parameter analysis, such as... Figure 1 As shown, the system acquires temperature difference data between the inside and outside of the controlled environment in parallel through sensors. With the current physical opening of the ventilation window The channel status data is processed sequentially: utilizing the current physical opening. Perform asymmetric follow-up calculations to generate virtual opening values. Then, this virtual opening value is used. Combined with temperature difference data By using an index lookup in the heat dissipation characteristic data table, the parameter definition under the current operating conditions, i.e., the upper limit of allowable shading and light transmission, can be determined. The system then enters the real-time monitoring phase to obtain the target command for shading and light transmission. Then, it enters the collaborative judgment logic to determine whether the input power corresponding to the target command is greater than the upper limit of the allowable shading and light transmission. If the determination result is yes, then active safety control is executed to limit the drive signal of the sunshade device to the upper limit of the allowable range. If the determination result is no, then conventional control is executed and the drive signal is output directly according to the target instruction.

[0037] like Figure 2 As shown, the horizontal axis represents the time control cycle, the vertical axis represents the opening percentage, and the dashed line represents the physical opening. (t) shows a rapid upward trend within the control period from the 4th to the 10th cycle and quickly reaches saturation, while the solid line represents the virtual opening. (t) is limited by the preset upward slope and rises at a relatively slow linear rate, reflecting the simulation of fluid inertia, until after the 14th control cycle, when the physical opening... (t) When a step decrease occurs, the virtual opening (t) The physical opening decreases without delay; such as Figure 3 As shown, the technical architecture is presented in the form of a fishbone diagram, ultimately pointing to the core objective indicated by the fish head: achieving absolute thermal safety in a photosensitive environment. Its four supporting branches are: the core control logic branch (solving time lag), encompassing asymmetric following computation and the virtual opening value K. v The algorithm settings for the rising slope limit R are as follows: the physical boundary constraint branch (safety clamping) clarifies the clamping effect of the allowable upper limit of shading light transmission determined by the heat dissipation characteristic data table and the maximum safe opening for forced use; the online adaptive correction branch (addressing aging) demonstrates the negative feedback adjustment strategy based on the temperature rise rate deviation and the heat dissipation power derating mechanism for aging problems; the multidimensional collaboration and steady state branch (interference suppression) integrates dead zone filtering steps, multidimensional constraint logic, and protection mechanisms for second non-electrical variables such as humidity. These four branches together constitute a system-level solution to address time delay, aging, and interference.

[0038] Example 4: This example systematically supplements and standardizes the calibration process for core control parameters. In actual engineering deployment, to ensure the adaptability and accuracy of the asymmetric collaborative control strategy, quantitative calibration based on physical measurements is performed on two key variables: the slope limit constant and the upper limit of allowable shading light transmittance. Specifically, the slope limit constant... During calibration, the system enters offline calibration mode. In this mode, the controller disables the sunshade device and only drives the ventilation window actuator. The system sends a full-stroke step opening command, meaning the ventilation window abruptly changes from a fully closed state to its maximum physical opening. During this process, hot-wire wind speed sensors deployed within a controlled environment... The system records the flow rate change curve of the cooling medium at a sampling frequency. By analyzing this flow rate curve, the system extracts the flow rate from... Increase to steady-state flow rate The required time is defined as the time constant of the fluid thermal response. The controller is based on the formula The slope constraint constant was calculated. ,in This is the maximum physical opening of the ventilation window.

[0039] Secondly, regarding the permissible upper limit for shading and light transmission. During calibration, the system executes an online thermal balance test procedure, and the controller fixes the ventilation window to a series of preset discrete opening values, such as... , , , At each fixed opening degree, the system gradually increases the input power of the shading device and continuously monitors the temperature difference data between the inside and outside of the controlled environment. ,when When the temperature rise is stable and reaches the preset allowable temperature rise threshold, the current input power of the shading device is recorded as the maximum allowable heat dissipation power under that opening degree and temperature difference condition. By traversing all preset opening degrees and typical temperature difference conditions, the system constructs and stores a multi-dimensional heat dissipation characteristic data table. During real-time control, the controller uses a linear interpolation algorithm to calculate the heat dissipation power under any condition. .

[0040] Example 5: This example aims to provide a transparent engineering procedure for the dynamic model parameters and multivariate constraint mechanisms involved in the aforementioned specific implementation methods, in order to eliminate the algorithm black box and ensure the adaptability of the system in long-term operation. To address the potential attenuation of actual heat dissipation capacity due to filter clogging and fan wear during long-term operation, the system initiates an online correction procedure based on thermal inertia residuals to calculate the theoretical temperature rise rate. The controller employs a heat capacity model based on energy conservation. The system assumes that within the steady-state diagnostic window, the rate of change of heat is... Power should be input from the sunshade device. Subtract actual heat dissipation power Then, divide by the system's equivalent heat capacity. Decision, that is ,in, Input power for shading and light transmission. Based on the heat dissipation characteristic data table and The theoretical power dissipation obtained from the index, The equivalent heat capacity of the controlled chamber and its contents, expressed in joules per degree Celsius, is used by the controller to calculate the actual rate of change of the controlled ambient temperature. With theoretical temperature rise rate residual ,like Exceeding the preset safety tolerance, such as The system determines that the model is mismatched. To derating the theoretical power dissipation, the controller calculates a correction factor. It follows the following first-order negative feedback relationship in, The proportional gain coefficient is calibrated through offline testing to ensure... exist When the maximum allowable value is reached, it approaches the lower limit. The system will use this correction factor Multiply by all power values ​​in the heat dissipation characteristic data table to complete the calculation. Online global credit limit reduction.

[0041] In addition, to address non-electrical variable constraints in multivariable coupled environments, such as applications requiring the maintenance of specific gas concentrations or humidity levels, the controller executes the maximum safe opening degree. The calculation, taking humidity control as an example, aims to maintain the chamber humidity at or above the target value. The core technical challenge lies in preventing excessive dilution of humid air due to excessively large ventilation duct openings. The controller employs a simplified mass transfer model, which correlates the effective duct opening with the mass exchange rate of air within the chamber. In conjunction with this, the system retrieves data from a pre-set table of material loss rates, based on... Find the maximum permissible mass exchange rate per unit time. ,Should To ensure that the chamber humidity does not drop below the lower limit within the shortest process cycle, the controller will check the physical opening. With mass exchange rate The associated flow resistance characteristic curves are used to reverse-calculate the parameters that meet the requirements. Required maximum channel opening This dual constraint mechanism, when generating the final control command, will As a hard constraint boundary for ventilation windows, it ensures that the system maintains steady state of key environmental parameters while satisfying thermal balance.

[0042] Example 6: During the initial system integration or annual maintenance, the proportional gain coefficient is executed to calibrate the online model correction mechanism used for long-term stability. The field calibration procedure is to ensure the thermal inertia residual correction factor. This procedure, which always remains within acceptable technical boundaries, applies pressure to the cooling channels. The system is driven to derating, simulating the worst-case operating condition of the system under fan wear or filter blockage. The controller drives the system to a condition where the target commands for ventilation window and shading light transmission are stable, and the actual temperature rise rate is recorded at this time. With theoretical temperature rise rate Maximum residual between This residual objectively characterizes the maximum model mismatch under the current physical configuration, and the controller utilizes this... Calculate the required proportional gain factor Its calculation formula is ,Should The value is set as a correction factor. The control gain makes The model reaches its maximum mismatch precisely at the preset minimum safety limit. .

[0043] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0044] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for coordinated control of shading and ventilation based on environmental parameter analysis, characterized in that, Includes the following steps: Collect data on the temperature difference between the inside and outside of the controlled environment and the current physical opening of the ventilation windows; Asymmetric follow-up calculations are performed to generate virtual opening values, following the logic below: ,in, For a moment The current physical aperture, To control the cycle, The preset slope limiting constant, R, is determined through offline calibration experiments, specifically by measuring the time constant required for the cooling medium to accelerate from a static state to a steady-state turbulent heat exchange state. Then R is set to the opening value corresponding to the full travel of the channel divided by the time constant τ; The virtual opening value of the previous control cycle is used when determining... When the system identifies a power-up cooling request, it applies a preset rate-of-rise limit to the rate of change of the virtual opening value, causing it to accumulate linearly over time steps until it approaches the current physical opening; conversely, when it determines... When the system identifies the power reduction safety mode, the virtual opening value will follow the current physical opening without delay. Using the virtual opening value and the internal and external temperature difference data, the maximum allowable heat dissipation power under the current working condition is obtained by indexing the preset heat dissipation characteristic data table, and the maximum allowable heat dissipation power is defined as the upper limit of the allowable shading and light transmission. The system monitors the target shading light transmittance command in real time. When the input power corresponding to the target shading light transmittance command is greater than the upper limit of the allowable shading light transmittance, the drive signal of the shading device is limited to within the upper limit of the allowable shading light transmittance until the upper limit of the allowable shading light transmittance determined after the virtual opening value is updated is not less than the input power.

2. The method for coordinated control of shading and ventilation based on environmental parameter analysis according to claim 1, characterized in that, The heat dissipation characteristic data table is a pre-calibrated multidimensional lookup table that records the steady-state heat dissipation power values ​​under different ambient temperature differences and different ventilation window openings. The step of determining the allowable upper limit of shading light transmission includes using virtual opening values ​​to perform lookup or linear interpolation calculations in the lookup table.

3. The shading and ventilation coordinated control method based on environmental parameter analysis according to claim 1, characterized in that, Before determining the upper limit of allowable shading light transmittance, an online correction step based on the temperature rise rate deviation is also included: identifying a steady-state period in which both the target shading light transmittance command and the ventilation window remain constant for a duration exceeding a preset threshold; calculating the actual rate of change of the controlled ambient temperature during the steady-state period, and calculating the theoretical rate of change based on the current shading light transmittance and heat dissipation characteristic data table; Compare the actual rate of change with the theoretical rate of change. When the difference between the two indicates that the rate of temperature rise in the environment is faster than theoretically expected, a correction factor is generated. The correction factor is then used to derate the heat dissipation power values ​​in the heat dissipation characteristic data table.

4. The shading and ventilation coordinated control method based on environmental parameter analysis according to claim 3, characterized in that, The step of generating the correction coefficient adopts a negative feedback adjustment strategy. The value of the correction coefficient depends on the extent to which the actual rate of change deviates from the theoretical rate of change, and the correction coefficient is updated in the controller's non-volatile memory.

5. The method for coordinated control of shading and ventilation based on environmental parameter analysis according to claim 1, characterized in that, The steps for determining the permissible upper limit of shading light transmission also include executing multi-dimensional constraint logic: obtaining the measured value of the second non-electrical variable other than temperature in the controlled environment and the set target value of the variable; calculating the maximum safe opening of the ventilation window based on the set target value; if the current physical opening of the ventilation window is greater than the maximum safe opening, then when calculating the permissible upper limit of shading light transmission, the maximum safe opening is forcibly used to replace the virtual opening value for table lookup, so as to prioritize meeting the control requirements of the second non-electrical variable.

6. The method for coordinated control of shading and ventilation based on environmental parameter analysis according to claim 1, characterized in that, The method also includes a dead-zone filtering step: during operation when the target command for shading light transmission remains unchanged, a dead-zone range is set based on the current input power of shading light transmission; when the heat dissipation demand value calculated by the heat dissipation characteristic data table exceeds the dead-zone range, the controller outputs a control signal to change the physical opening of the ventilation window.

7. The shading and ventilation coordinated control method based on environmental parameter analysis according to claim 1, characterized in that, The preset rise slope limit is pre-configured based on the thermal capacity parameters of the controlled environment and the fluid characteristic parameters of the ventilation system. The value of this rise slope limit is less than the maximum operating speed of the drive motor corresponding to the ventilation window.

8. The method for coordinated control of shading and ventilation based on environmental parameter analysis according to claim 1, characterized in that, The method is executed cyclically in a digital controller with a fixed control cycle, and the calculation frequency of the upper limit of the allowable amount of shading and light transmission is synchronized with the sampling frequency of the physical opening of the ventilation window.

9. The method for coordinated control of shading and ventilation based on environmental parameter analysis according to claim 5, characterized in that, The second non-electric variable is the relative humidity or gas concentration value in the controlled environment. The multi-dimensional constraint logic ensures that the output power of the shading light transmittance is limited by the minimum ventilation conditions required to maintain the target value of the second non-electric variable.

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