Constant temperature workshop humidity control processing system

Abstract

The embodiment of the present specification provides a constant-temperature workshop humidity control processing system, wherein the constant-temperature workshop humidity control processing system realizes the collaborative optimization of energy self-sufficiency, water resource circulation and high-precision humidity regulation by integrating a solar energy supply module, an adsorption air treatment module, a condensation water taking module, a humidity control module and an intelligent control module into an organic whole, deeply integrates renewable energy utilization, air water taking, adsorption dehumidification and intelligent control, fundamentally solves the problems of high energy consumption, high water consumption and regulation lag of the traditional constant-temperature workshop humidity control system, and realizes the unification of green energy driving, water resource self-sufficiency and humidity precise and stable.

Description

Technical Field

[0001] The embodiments in this specification relate to the field of temperature control technology, and in particular to a humidity control system for a constant temperature workshop. Background Technology

[0002] In the existing field of industrial environmental control, humidity regulation in constant temperature workshops typically relies on the coordinated operation of independent dehumidification and humidification equipment. The dehumidification process often employs refrigeration dehumidification or rotary dehumidification, while the humidification process relies on steam generation or ultrasonic atomization technology. These methods generally suffer from high energy consumption, strong dependence on water resources, low equipment integration, and lag in control response. Especially in water-scarce areas, the stability of water supply for humidification is difficult to guarantee. At the same time, the condensate generated during the dehumidification process is often directly discharged, resulting in resource waste. Furthermore, existing systems mostly adopt a discrete architecture, lacking a unified energy scheduling and information exchange mechanism between functional units. This makes it difficult to dynamically optimize based on real-time changes in workshop humidity load and fluctuations in renewable energy, leading to large fluctuations in humidity control accuracy and low system operating efficiency. Consequently, these systems fail to meet the dual requirements of high-end manufacturing for stable production environments and green, low-carbon operation.

[0003] Therefore, a better solution is urgently needed. Summary of the Invention

[0004] In view of this, the embodiments of this specification provide a constant temperature workshop humidity control system to solve the technical defects existing in the prior art.

[0005] According to a first aspect of the embodiments of this specification, a humidity control processing system for a constant temperature workshop is provided, comprising:

[0006] The solar power module includes multiple modular photovoltaic-thermal integrated sub-modules that can be combined and connected. These sub-modules synchronously convert solar energy into electrical and thermal energy. An adsorption-type air handling module includes at least one adsorption bed sub-module, which is filled with porous gel adsorption material. The adsorption bed module has an adsorption state and a desorption state. In the adsorption state, the adsorption bed module captures water vapor in the air flowing through it. In the desorption state, the adsorption bed module is heated by the heat energy provided by the solar power module, causing the captured water vapor to desorb and form a high-temperature and high-humidity airflow. The condensation water intake module receives high-temperature and high-humidity airflow and cools it to condense the water vapor into liquid water. The condensation water intake module includes a water storage component for storing liquid water. The humidity control module includes a dehumidification submodule and a humidification submodule. The dehumidification submodule uses an adsorption bed submodule in an adsorption state to dehumidify the air in the constant temperature workshop, and the humidification submodule uses liquid water in a water storage component to humidify the air in the constant temperature workshop. The intelligent control module acquires the target humidity value and real-time humidity value of the constant temperature workshop, as well as the real-time output power of the solar power module and the water storage capacity of the water storage component. Based on the deviation between the real-time humidity value and the target humidity value, the real-time output power, and the water storage capacity, the intelligent control module dynamically schedules the adsorption bed sub-module to switch between adsorption and desorption states, and coordinates the operation of the dehumidification sub-module and the humidification sub-module.

[0007] In one possible implementation, the photovoltaic-thermal integrated submodule includes a cover plate, photovoltaic cell layers, heat-absorbing coating, heat collector plate, and backplate stacked sequentially. A thermally conductive medium is filled between the photovoltaic cell layers and the heat collector plate. The heat collector plate has flow channels and circulates a working fluid to absorb the heat from the photovoltaic cell layers. The solar power supply module also includes a hybrid energy storage submodule composed of lithium battery packs and supercapacitor packs, and an energy distribution submodule. The energy distribution submodule includes multiple output interfaces. The photovoltaic-thermal integrated submodules are connected through standardized interfaces, including electrical interfaces, working fluid interfaces, and communication interfaces.

[0008] In one possible implementation, the porous gel adsorbent is a multi-level porous composite adsorbent obtained by solution polymerization and freeze-drying using at least one of acrylamide, acrylic acid and chitosan as monomers, methylenebisacrylamide as crosslinking agent, sodium bicarbonate as pore-forming agent, and doped with nanomaterials and metal-organic framework materials.

[0009] In one possible implementation, the adsorption bed submodule includes a housing, a heating tube disposed within the housing, a regulating air valve and a flow equalization plate disposed at the air inlet, and a temperature and humidity sensor disposed at the air outlet. The heating tube is connected to the photothermal working fluid circuit of the solar power module or is heated by an electric heating element. Multiple adsorption bed submodules are arranged in parallel and can be put into or taken out of operation independently.

[0010] In one possible implementation, the condensation water intake module includes a condenser, a gas-liquid separator, a water purification component, and a water storage tank. The refrigerant side of the condenser is connected to the compressor refrigeration cycle, and the air side is connected to the air outlet of the adsorption bed submodule in the desorption state. The water purification component includes a filter, an adsorber, and a sterilizer arranged sequentially along the water flow direction. The water storage tank has a built-in liquid level sensor.

[0011] In one possible implementation, the dehumidification submodule includes a return air fan that introduces the workshop return air into the adsorption bed submodule; the humidification submodule includes an atomizer and a water supply pump connected to the atomizer, with the inlet of the water supply pump connected to a water storage component; the humidity control module also includes a distributed network of temperature and humidity sensors.

[0012] In one possible implementation, the intelligent control module includes: The data acquisition submodule collects electrical parameters, thermal parameters, and energy storage status of the solar power module; temperature, humidity, pressure difference, and heating power at the inlet and outlet of the adsorption bed submodule; condensation temperature, water level, and water quality of the condensation water intake module; temperature and humidity at various measuring points in the constant temperature workshop; and irradiance and ambient temperature and humidity at the outdoor weather station. The state estimation submodule integrates the data collected by the data acquisition submodule to estimate the remaining adsorption capacity and desorption completion of the porous gel adsorption material in the adsorption bed submodule in real time. The optimization decision submodule uses humidity control accuracy, solar energy contribution rate and energy consumption as objective functions, and the switching time between adsorption and desorption states, heating temperature setpoint, condensation temperature setpoint, humidification amount and energy storage charging and discharging power as decision variables to solve the control sequence. The execution driver submodule converts the control sequence into signals and outputs them to the corresponding actuators.

[0013] In one possible implementation, the optimization decision submodule determines the system operation mode as dehumidification priority mode, humidification priority mode, or water intake priority mode based on the deviation between the real-time humidity value and the humidity target value, the water storage capacity of the water storage component, and the real-time output power of the solar power module. In dehumidification priority mode, the optimization decision submodule increases the number of adsorption bed submodules in the adsorption state; In the humidification priority mode, the optimization decision submodule starts the humidification submodule when the water storage of the water storage component is higher than the first threshold, and switches to the water intake priority mode when the water storage is lower than the second threshold. In the water intake priority mode, the optimization decision submodule prioritizes switching the adsorption bed submodule that is in the saturated adsorption state to the desorption state.

[0014] In one possible implementation, the intelligent control module includes a multi-adsorption bed collaborative scheduling submodule. This submodule predicts changes in solar irradiance intensity and humidity load in the constant-temperature workshop within a set time period, and generates a time-series allocation scheme for the adsorption state, desorption state, and cooling standby state of the adsorption bed submodules. This ensures that the number of adsorption bed submodules in the adsorption state is not less than a preset lower limit, and that the desorption period of the adsorption bed submodules in the desorption state overlaps with the peak solar irradiance period.

[0015] In one possible implementation, the intelligent control module also includes a fault diagnosis submodule. The fault diagnosis submodule identifies the fault type and fault location based on the collected data. For non-critical faults, it automatically switches to redundant sensors or redundant actuators. For critical faults, it isolates the fault submodule and enables the backup submodule.

[0016] This specification provides an embodiment of a constant temperature workshop humidity control and processing system. This system integrates a solar power module, an adsorption-type air handling module, a condensation water extraction module, a humidity control module, and an intelligent control module into a cohesive whole. It achieves synergistic optimization of energy self-sufficiency, water resource recycling, and high-precision humidity control. It deeply integrates renewable energy utilization, air water extraction, adsorption dehumidification, and intelligent control, fundamentally solving the problems of high energy consumption, high water consumption, and lagging control in traditional constant temperature workshop humidity control systems. This achieves a unified approach of green energy drive, water resource self-sufficiency, and precise and stable humidity control. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of a humidity control system for a constant temperature workshop provided in one embodiment of this specification. Detailed Implementation

[0018] Many specific details are set forth in the following description to provide a full understanding of this specification. However, this specification can be implemented in many other ways than those described herein, and those skilled in the art can make similar extensions without departing from the spirit of this specification. Therefore, this specification is not limited to the specific implementations disclosed below.

[0019] The terminology used in one or more embodiments of this specification is for the purpose of describing particular embodiments only and is not intended to be limiting of the one or more embodiments of this specification. The singular forms “a” and “the” as used in one or more embodiments of this specification and the appended claims are also intended to include the plural forms, unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used in one or more embodiments of this specification refers to and includes any or all possible combinations of one or more associated listed items.

[0020] It should be understood that although the terms first, second, etc., may be used to describe various information in one or more embodiments of this specification, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, first may also be referred to as second without departing from the scope of one or more embodiments of this specification, and similarly, second may also be referred to as first. Depending on the context, the word "if" as used herein may be interpreted as "when," "when," or "in response to a determination."

[0021] This specification provides a humidity control system for a constant temperature workshop, which will be described in detail in the following embodiments.

[0022] See Figure 1 , Figure 1 This diagram illustrates a system schematic of a constant temperature workshop humidity control system according to an embodiment of this specification. Specifically, it includes a solar power module comprising multiple modularly combinable photovoltaic-thermal integrated sub-modules that synchronously convert solar energy into electrical and thermal energy; an adsorption air treatment module comprising at least one adsorption bed sub-module filled with porous gel adsorption material, having adsorption and desorption states. In the adsorption state, the adsorption bed module captures water vapor from the air flowing through it; in the desorption state, the adsorption bed module is heated by the thermal energy provided by the solar power module, causing the captured water vapor to desorb and form a high-temperature, high-humidity airflow; and a condensate collection module that receives high-temperature, high-humidity water. A high-temperature, high-humidity airflow is cooled to condense the water vapor into liquid water. The condensation and water extraction module includes a water storage component for storing the liquid water. A humidity control module includes a dehumidification submodule and a humidification submodule. The dehumidification submodule uses an adsorption bed submodule in an adsorption state to dehumidify the air in the constant-temperature workshop, while the humidification submodule uses the liquid water in the water storage component to humidify the air. An intelligent control module acquires the target humidity value and real-time humidity value of the constant-temperature workshop, as well as the real-time output power of the solar power module and the water storage capacity of the water storage component. Based on the deviation between the real-time humidity value and the target humidity value, the real-time output power, and the water storage capacity, the intelligent control module dynamically schedules the adsorption bed submodule to switch between adsorption and desorption states and coordinates the operation of the dehumidification and humidification submodules.

[0023] Among them, a solar power module can refer to a comprehensive functional unit that uses solar energy to provide both electrical and thermal energy to the entire system. For example, this module captures solar energy through a composite structure integrating photovoltaic cells and solar thermal collectors, and converts it into electrical and thermal energy forms that can be used by other modules, thereby achieving energy self-sufficiency for the system. A photovoltaic-thermal integrated submodule can refer to a standardized component that simultaneously achieves photoelectric conversion and photothermal conversion within the same structural unit. For example, this submodule adopts a stacked composite structure, where the upper photovoltaic cells convert some solar radiation into direct current, and the lower collector absorbs the remaining radiation and waste heat from the photovoltaic cells, converting it into thermal energy. Multiple submodules can be flexibly spliced ​​together through standardized interfaces to adapt to different power requirements.

[0024] An adsorption-type air handling module can refer to a functional unit that uses adsorption materials to capture and release water vapor in the air to achieve humidity regulation. For example, this module may contain one or more adsorption beds. By controlling the switching between adsorption and desorption states of the adsorption beds, continuous dehumidification of the workshop air can be achieved, while simultaneously providing a water source for the water extraction process. An adsorption bed submodule can refer to an independent, replaceable unit filled with adsorption material. For example, this submodule may use a drawer-type structure installed in an air collection chamber, filled with porous gel material. When workshop air flows through, the material adsorbs water vapor to achieve dehumidification; when heated, the material releases water vapor to achieve regeneration and water extraction. The adsorption state can refer to the working stage in which the porous gel material in the adsorption bed submodule actively captures water vapor molecules in the flowing air. For example, in this state, workshop return air is introduced into the adsorption bed, where the material's porous structure physically and chemically adsorbs water vapor, and the air humidity is reduced before returning to the workshop. The desorption state refers to the working stage where the porous gel material in the adsorption bed module releases the captured water vapor after heating. For example, in this state, the heat energy provided by the solar power module raises the material temperature, and water vapor molecules gain energy to detach from the adsorption sites, forming a high-humidity regenerated airflow. The high-temperature and high-humidity airflow refers to the hot airflow rich in water vapor discharged from the adsorption bed module in the desorption state. For example, the temperature of this airflow is between 60 and 80 degrees Celsius, and the relative humidity can reach more than 80%, which can be used as a raw material gas source for condensation and water extraction.

[0025] A condensation water extraction module can refer to a functional unit that cools high-temperature, high-humidity airflow, causing water vapor to change into liquid water. For example, this module uses a refrigeration cycle to cool the desorbed airflow, causing water vapor to condense into water droplets below the dew point. After collection and purification, the water is stored for later use. A water storage component can refer to a container and auxiliary parts used to store the condensed liquid water and supply water to the humidification submodule. For example, this component includes a water tank, a level sensor, a water quality sensor, and a water supply pump, which can monitor the water storage volume and water quality in real time and deliver clean water to the humidification system when needed.

[0026] A humidity control module can refer to a functional unit that bidirectionally regulates the humidity of air in a constant-temperature workshop. For example, this module reduces excessively high humidity through a dehumidification submodule and increases excessively low humidity through a humidification submodule, jointly maintaining the workshop humidity within the target range. A dehumidification submodule can refer to a subsystem that removes water vapor from the workshop air using the adsorption function of an adsorption bed submodule. For example, this submodule includes a return air fan and a damper, introducing workshop air into the adsorption bed in an adsorption state, and then uniformly returning the dried air to various areas of the workshop through air supply ducts. A humidification submodule can refer to a subsystem that replenishes the workshop air with water using liquid water from a water storage component. For example, this submodule includes an ultrasonic atomizer, a metering pump, and a misting fan, atomizing water into micron-sized droplets and mixing them into the air supply airflow to achieve precise humidification of the workshop air.

[0027] A smart control module can refer to a central control unit that collects information, judges status, and makes operational decisions for the entire system. For example, this module may have a built-in microprocessor and storage medium, receiving real-time sensor data distributed throughout the workshop and system. It analyzes the current operating conditions using built-in algorithms and generates control commands to drive the various actuators to work collaboratively. A constant-temperature workshop humidity target value can refer to the desired range of humidity levels set by the production process for the workshop air. For example, in a semiconductor packaging workshop, this target value is typically 45% relative humidity, with an allowable fluctuation range of ±2%. Real-time humidity values ​​can refer to the actual measured humidity values ​​of various areas at the current moment, collected by a network of humidity sensors distributed throughout the workshop. For example, multi-point humidity data collected every second is weighted and averaged to represent the current humidity level in the workshop. Real-time output power can refer to the actual electrical and thermal power generated by the solar power module under current lighting conditions, for example, measured and calculated in real-time by voltage and current sensors and heat flow meters. Water storage capacity can refer to the current volume or mass of liquid water stored in the water storage component, for example, measured and calculated by a level sensor. Dynamic scheduling refers to the process by which the intelligent control module adjusts and redistributes the working status of the adsorption bed submodules online based on real-time changes in operating conditions. For example, it automatically switches more adsorption beds to the adsorption state when the humidity load increases, and prioritizes switching saturated adsorption beds to the desorption state when solar energy is abundant. Coordinated operation refers to the intelligent control module's overall arrangement of the start-up, shutdown, and operating intensity of the dehumidification and humidification submodules to avoid both working ineffectively or conflicting with each other. For example, it automatically reduces the operating intensity of both submodules to save energy when the humidity is close to the target value.

[0028] The present invention will be further described below through a detailed embodiment: In one embodiment of the constant temperature and humidity control system for a workshop according to this invention, the system is deployed in a 500-square-meter semiconductor packaging workshop, which requires maintaining a temperature of 23 degrees Celsius and a relative humidity of 45% year-round. Forty photovoltaic-thermal integrated sub-modules are installed on the workshop roof, each with a peak power generation of 300 watts and a rated heat generation of 650 watts. The sub-modules are connected in parallel via standardized electrical and working fluid interfaces, with a total installed power generation of 12 kilowatts and a heat generation of 26 kilowatts. The system also includes a hybrid energy storage sub-module consisting of a 30 kWh lithium battery pack and a 100-farad supercapacitor pack, and an adsorption-type air handling module equipped with six adsorption bed sub-modules. Each adsorption bed module is filled with 10 kilograms of porous gel composite adsorption material, with a total effective adsorption capacity of up to 3 kilograms of water vapor. The condensate extraction module is equipped with a 5-horsepower variable frequency chiller and a 1-ton water storage tank. The humidity control module retains the original supply and return air ducts in the workshop, connects the adsorption bed submodule in parallel to the return air main duct, and replaces the humidifier with an ultrasonic atomizing humidifier connected to the water storage tank. The intelligent control module uses an embedded industrial computer and is equipped with a model predictive control algorithm.

[0029] During the operation of this implementation, the intelligent control module continuously acquires real-time humidity data from a distributed network of temperature and humidity sensors within the workshop, as well as solar irradiance data measured by a rooftop weather station. When the workshop humidity rises to 47% relative humidity, the intelligent control module determines that dehumidification operation needs to be initiated. At this time, the photovoltaic-thermal integrated submodule of the solar power supply module outputs 9 kW of electrical power and 20 kW of thermal power under the irradiance conditions at 10:00 AM. Based on the real-time output power and the current water storage volume, the intelligent control module decides to put the two adsorption bed submodules into adsorption mode. The workshop return air fan starts, introducing workshop air into the adsorption bed at a wind speed of 1.2 meters per second. The porous gel material captures water vapor, reducing the relative humidity of the outlet air to 35%. The dried air is then returned to the workshop through the air supply duct. The adsorption process continues, and the intelligent control module monitors the change in humidity at the adsorption bed outlet in real time. When the outlet humidity rises to 90% of the inlet humidity, it determines that the adsorption bed is close to saturation. At this point, with sufficient solar thermal power, the intelligent control module switches the adsorption bed to desorption mode, opens the working fluid inlet valve of the heating tube, and allows the high-temperature working fluid from the photovoltaic-thermal integrated submodule's solar thermal circuit to flow into the serpentine heating tube. The bed temperature rises to 75 degrees Celsius, and the water vapor captured by the material desorbs, forming a high-temperature, high-humidity airflow. This airflow enters the condenser of the condensation and water extraction module, the compressor's refrigeration cycle starts, and the condensation temperature is set to 8 degrees Celsius. The water vapor condenses into liquid water, which flows into the water storage tank after being treated by the gas-liquid separator and water purification components. After the desorption process lasts for fifty minutes, the humidity at the adsorption bed outlet drops below 15%. The intelligent control module then shuts off the heating and starts the cooling fan, lowering the bed temperature to 32 degrees Celsius before entering standby mode. Throughout the process, the water level in the storage tank rises from the initial 30% to 55%. When the workshop humidity dropped to 43% relative humidity, the intelligent control module determined that humidification needed to be activated. After detecting that the water level in the storage tank was above the 20% activation threshold, the ultrasonic atomizing humidifier was turned on. A metering pump delivered purified water from the storage tank to the atomization chamber, and a piezoelectric ceramic transducer oscillated at a frequency of 1.7 MHz to atomize the water. The atomized droplets mixed with the airflow and were then sent into the workshop, restoring the humidity to the target value. That afternoon, cloud cover caused a sharp drop in solar irradiance to 300 watts per square meter, reducing photovoltaic output to 3 kilowatts. The intelligent control module predicted that irradiance would remain low for the next 30 minutes, while the workshop's humidity load was expected to increase by 20% due to production batch switching. At this time, one adsorption bed was in desorption mode, consuming 15 kilowatts of heat power. The intelligent control module lowered the heating temperature setpoint of this adsorption bed to 58 degrees Celsius, extended the desorption time to 40 minutes, and simultaneously advanced the adsorption completion time of another adsorption bed, immediately activating it after desorption to cope with the upcoming increase in humidity load. The energy storage submodule's discharge power was limited to 5 kilowatts to maintain a margin. After the scheduling was completed, the humidity in the workshop was consistently controlled within the range of 45% ± 1.2% relative humidity, and there was no problem with insufficient humidity control or energy storage depth loss.When there is no solar radiation at night, the system relies on the electrical energy stored in the energy storage submodule to maintain basic operation. The adsorption bed remains in an adsorption state for dehumidification. Humidification operation is paused until the water level in the storage tank falls below the lower limit, at which point the municipal backup water source is automatically activated for replenishment. The next morning, after solar radiation resumes, the intelligent control module automatically switches back to the solar priority mode, sequentially desorbing and regenerating the adsorption bed that was saturated overnight, and using the morning solar energy to replenish the stored water.

[0030] The beneficial effects of one of the embodiments in this specification include at least the following: by constructing a complete system integrating a solar power module, an adsorption air handling module, a condensation water extraction module, a humidity control module, and an intelligent control module, the system achieves integrated operation of energy self-sufficiency, water resource recycling, and precise regulation in the humidity control process of a constant temperature workshop. Its beneficial effect lies in significantly reducing the dependence of the constant temperature workshop on grid electricity and municipal water supply. This is achieved by using adsorption materials to capture water vapor during dehumidification, using solar thermal energy to desorb water vapor during desorption, converting water vapor into liquid water for storage during condensation, and directly using the stored water for atomization replenishment during humidification, thus forming a system that produces water for dehumidification and uses the water for... The closed-loop internal circulation mode of humidification effectively solves the resource waste problems caused by the reliance on external water sources and direct discharge of dehumidification condensate in traditional constant temperature workshops. At the same time, through the intelligent control module, it comprehensively senses and dynamically schedules the solar output power, real-time humidity of the workshop, and water storage, realizing the adaptive switching between the adsorption bed submodule and the dehumidification submodule and the coordinated operation of the humidification submodule. This ensures the continuous and stable operation of the system under different meteorological conditions and production loads, greatly improves the response speed and accuracy of humidity control, enhances the system's adaptability to complex working conditions, and provides a green, energy-saving, and water-saving innovative humidity control solution for constant temperature workshops in high-end manufacturing.

[0031] In one possible implementation, the photovoltaic-thermal integrated submodule includes a cover plate, photovoltaic cell layers, heat-absorbing coating, heat collector plate, and backplate stacked sequentially. A thermally conductive medium is filled between the photovoltaic cell layers and the heat collector plate. The heat collector plate has flow channels and circulates a working fluid to absorb the heat from the photovoltaic cell layers. The solar power supply module also includes a hybrid energy storage submodule composed of lithium battery packs and supercapacitor packs, and an energy distribution submodule. The energy distribution submodule includes multiple output interfaces. The photovoltaic-thermal integrated submodules are connected through standardized interfaces, including electrical interfaces, working fluid interfaces, and communication interfaces.

[0032] The cover plate can refer to the outermost transparent plate-like component of the photovoltaic-thermal integrated submodule, used to protect the internal components and transmit sunlight. For example, this cover plate may be made of high-transmittance tempered glass or polycarbonate material, with an anti-reflective coating to reduce sunlight reflection loss, while also possessing weather resistance and impact resistance. The photovoltaic cell layer can refer to the power generation layer composed of multiple photovoltaic cells connected by circuitry. For example, this layer may use monocrystalline or polycrystalline silicon photovoltaic cells, generating direct current under sunlight, which is the system's power source. The heat-absorbing coating can refer to a selective absorption layer coated on the surface of the collector plate to enhance solar radiation absorption. For example, this coating may use materials such as black chromium or titanium nitride, exhibiting high absorption rates for visible and infrared light while having low emissivity for thermal radiation, thus improving photothermal conversion efficiency. The collector plate can refer to a metal plate-like component with internal fluid channels for absorbing heat and heating the working fluid. For example, this plate may be made of aluminum alloy or copper alloy, with parallel or serpentine flow channels formed through welding or brazing processes. The working fluid carries away heat as it flows within the channels. The backplate can refer to the plate-like component located at the bottom of the submodule, used for support, protection, and reducing heat loss. For example, this plate may be a composite metal plate structure made of polyurethane or rock wool insulation material, offering good thermal insulation performance and mechanical strength. The thermally conductive medium can refer to the substance filled between the photovoltaic cells and the collector plate to reduce contact thermal resistance. For example, this medium may be thermally conductive silicone grease or thermally conductive pads, capable of efficiently conducting excess heat generated by the photovoltaic cells to the collector plate. The flow channel can refer to the channel structure inside the collector plate for the flow of the working fluid. For example, the flow channel cross-section may be rectangular or circular. Optimizing the channel spacing and distribution ensures uniform heating of the working fluid and reduces flow resistance. The working fluid can refer to the fluid that circulates within the flow channels of the collector plate for absorbing and transferring heat energy. For example, the working fluid may be deionized water or an aqueous solution of ethylene glycol, driven by a variable frequency pump to transfer heat to the adsorption bed submodule for desorption.

[0033] A hybrid energy storage submodule can refer to an energy buffer unit composed of different energy storage components. For example, this submodule connects a high-energy-density lithium battery pack and a high-power-density supercapacitor pack in parallel, and connects them to a DC bus through a bidirectional converter. The lithium battery pack handles energy balance over long time scales, while the supercapacitor pack mitigates transient power surges. An energy distribution submodule can refer to a functional unit that distributes and converts the electrical and thermal energy generated by solar energy. For example, this submodule includes multiple DC / DC converters, DC / AC inverters, thyristor power control circuits, and frequency converter pumps, distributing electrical and thermal energy to different energy-consuming devices according to load requirements. Multiple output interfaces can refer to multiple power output ports of different specifications and functions set on the energy distribution submodule, such as AC interfaces for powering conventional workshop equipment, low-voltage DC interfaces for powering sensors and controllers, pulse-width modulation power interfaces for powering adsorption bed heating tubes, and frequency converter drive interfaces for powering solar thermal circulation pumps. Standardized interfaces refer to the unified interface specifications used for electrical, working fluid, and signal connections between photovoltaic-thermal integrated submodules. For example, the electrical interface uses waterproof aviation plugs to support both parallel current boosting and series voltage boosting connections, the working fluid interface uses self-sealing hydraulic quick-connect couplings to achieve leak-free and rapid plugging and unplugging, and the communication interface uses the CAN bus protocol to achieve data exchange and collaborative control between modules.

[0034] The present invention will be further described below through a detailed embodiment: Based on the aforementioned constant temperature workshop humidity control system, this embodiment provides a detailed description of the specific structure and connection method of the photovoltaic-photothermal integrated submodule. Each photovoltaic-photothermal integrated submodule is manufactured using a stacked composite structure. The top layer is a 5mm thick ultra-white tempered glass cover plate, with a double-layer niobium oxide and silicon dioxide anti-reflective film coated on the glass surface, achieving a solar transmittance of over 92%. Below the cover plate is a photovoltaic cell layer, consisting of 72 monocrystalline silicon photovoltaic cells connected in series, with a total peak power of 300 watts. The cells are connected by tin-coated copper strips. Below the photovoltaic cell layer is a 0.5mm thick layer of thermally conductive silicone grease with a thermal conductivity of 3 Kelvin per meter. Below the silicone grease is an absorbent coating, which is deposited on the surface of the collector plate using magnetron sputtering technology. This coating has a thickness of 200 nanometers, achieving a solar absorptivity of 95% and a thermal emissivity of less than 10%. The solar collector plate is made of 3mm thick aluminum alloy plate, with ten parallel rectangular flow channels formed internally through a diffusion welding process. The channels are 8mm wide and 3mm high, with a center-to-center distance of 15mm between adjacent channels. Below the solar collector plate is a back plate, which is composed of a 20mm thick polyurethane rigid foam insulation layer and a 0.8mm thick galvanized steel plate. The thermal conductivity of the insulation layer is 0.02 watts per Kelvin. The circulating working fluid inside the flow channels of the solar collector plate is a 30% volume concentration ethylene glycol aqueous solution with a freezing point of -15 degrees Celsius. Driven by a variable frequency pump, the working fluid circulates at a flow rate of 10 liters per minute, carrying away the heat generated by the photovoltaic cells and transferring it to the thermal storage device or directly for desorption in the adsorption bed.

[0035] The solar power module also includes a hybrid energy storage submodule, which consists of a 48-volt, 30-kilowatt-hour lithium iron phosphate battery pack and a 48-volt, 100-farad supercapacitor pack. The lithium battery pack is connected to the DC bus via a bidirectional DC / DC converter with a buck-boost topology and an efficiency of 96%. The supercapacitor pack is connected to the same bus via another bidirectional DC / DC converter with a faster response time, capable of switching between charge and discharge modes within ten milliseconds. The energy distribution submodule is integrated into a single control cabinet, including a 15-kilowatt three-phase DC / AC inverter to power auxiliary equipment in the workshop, a 2-kilowatt buck DC / DC converter to output 24-volt DC power to sensors and controllers, a 5-kilowatt thyristor power control circuit to provide adjustable power to the adsorption bed heating tubes, and a 2-kilowatt frequency converter to drive the solar thermal circulation pump. Multiple output interfaces are equipped with voltage and current sensors and communication interfaces to provide real-time feedback of the operating status of each branch to the intelligent control module.

[0036] The photovoltaic-thermal integrated submodules are connected via standardized interfaces. The electrical interfaces use IP67 waterproof aviation plugs, with each submodule having two plugs (positive and negative). Parallel current-increasing connections or series voltage-boosting connections can be achieved via jumpers. In parallel current-increasing mode, all submodules' positive terminals are connected to the same positive busbar, and their negative terminals are connected to the same negative busbar. The total current is the sum of the currents of each submodule, while the voltage remains constant. In series voltage-boosting mode, the submodules are connected sequentially, with the total voltage being the sum of the voltages of each submodule, and the current remaining constant. The working fluid interface uses a stainless steel self-sealing hydraulic quick-connect connector. Both the male and female connectors have spring valve cores. When the male connector is inserted into the female connector, the valve cores open to form a passage; when removed, the valve cores automatically reset and seal, preventing working fluid leakage. The communication interface uses a five-pin M12 circular connector, supporting the CAN bus protocol with a transmission rate of 500 kilobits per second. Each submodule uses this interface to report its operating parameters such as temperature, voltage, current, and flow rate to the intelligent control module and to receive control commands. Through the aforementioned standardized interface, forty photovoltaic-thermal integrated sub-modules can be quickly assembled into a complete solar array on the roof. The entire installation process requires no professional welding or piping, significantly reducing the construction cycle and maintenance difficulty.

[0037] The beneficial effects of one of the embodiments in this specification include at least the following: By designing the photovoltaic-photothermal integrated submodule as a stacked composite structure with a cover plate, photovoltaic cell layers, heat-absorbing coating, heat collector plate, and back plate, and filling the space between the photovoltaic cell layers and the heat collector plate with a thermally conductive medium, efficient recovery and utilization of photovoltaic cell waste heat is achieved. This not only reduces the operating temperature of the photovoltaic cells and improves the photoelectric conversion efficiency, but also uses the recovered heat energy for desorption in the adsorption bed, significantly improving the comprehensive utilization efficiency of solar energy. At the same time, by setting up a hybrid energy storage submodule to connect energy density lithium battery packs and power density supercapacitor packs in parallel, the intermittency and fluctuation of solar energy output are effectively mitigated, ensuring the continuous and stable operation of the system. The energy distribution submodule is equipped with multiple output interfaces to provide suitable power forms according to different load characteristics, improving energy adaptability and utilization efficiency. In particular, the standardized interface enables rapid electrical, working fluid, and communication connections between photovoltaic-photothermal integrated submodules, allowing the system to flexibly adjust the installed capacity according to the workshop scale. Module replacement and maintenance operations are simple and convenient, significantly reducing installation costs and subsequent operation and maintenance difficulties, and enhancing the scalability and adaptability of the system.

[0038] In one possible implementation, the porous gel adsorbent is a multi-level porous composite adsorbent obtained by solution polymerization and freeze-drying using at least one of acrylamide, acrylic acid and chitosan as monomers, N,N'-methylenebisacrylamide as a crosslinking agent, sodium bicarbonate as a pore-forming agent, and doped with nanomaterials and metal-organic framework materials.

[0039] Acrylamide, acrylic acid, and chitosan can refer to the basic organic monomers used in the synthesis of porous gel adsorbent materials. For example, acrylamide and acrylic acid provide hydrophilic groups and a polymer backbone, while chitosan, as a natural polymer, introduces biocompatibility and additional active sites. These three can be used individually or in combination as needed to adjust material properties. N,N'-methylenebisacrylamide can refer to a crosslinking agent used to connect linear molecular chains to form a three-dimensional network structure during polymerization. For example, its molecule has a double bond at each end, participating in the growth of both chains simultaneously during the polymerization reaction, transforming the polymer from a linear structure to a network structure, thus enhancing the material's mechanical strength and stability. Sodium bicarbonate can refer to an inorganic salt used as a pore-forming agent during polymerization. For example, it decomposes under acidic or heating conditions to release carbon dioxide gas, forming bubbles inside the gel. Subsequent processing transforms it into a porous structure, and the porosity and pore size distribution can be controlled by adjusting the dosage. Nanomaterials can refer to particulate materials with sizes in the nanometer range, such as nano-titanium dioxide or nano-zinc oxide. Doping these materials into the gel increases the specific surface area and adsorption active sites, while also improving the material's thermal conductivity and mechanical properties. Metal-organic frameworks (MOFs) refer to porous crystalline materials formed by the self-assembly of metal ions and organic ligands through coordination bonds, such as MIL-101(Cr) or ZIF-8. They possess extremely high specific surface areas and regular pore structures, and their incorporation into gels can significantly enhance their water vapor adsorption capacity. Solution polymerization refers to the method of preparing polymers by dissolving monomers, crosslinking agents, and pore-forming agents in a solvent to initiate a polymerization reaction. For example, all raw materials can be dissolved in deionized water, and an initiator can be added before reacting at a certain temperature to form a hydrogel. Freeze-drying refers to the drying method of freezing hydrogels and then removing the ice by direct sublimation into water vapor under vacuum. For example, cutting the polymerized hydrogel into particles and drying them in a freeze dryer at -50°C and a vacuum of 10 Pa for 48 hours can yield a porous dry gel that maintains its three-dimensional network structure. Hierarchical pore structure refers to a pore network with three sizes of pores: micropores, mesopores, and macropores. For example, micropores with a diameter of less than two nanometers provide high specific surface area and adsorption sites, mesopores with a diameter of two to fifty nanometers provide capillary condensation space and mass transfer channels, and macropores with a diameter of more than fifty nanometers provide fast diffusion paths. The synergistic effect of hierarchical pores enables materials to have both high adsorption capacity and fast adsorption-desorption kinetics.

[0040] The present invention will be further described below through a detailed embodiment: Based on the aforementioned constant temperature and humidity control system, this embodiment details the specific preparation process of the porous gel adsorbent material. Taking a 1 kg batch as an example, 300 g of acrylamide, 150 g of acrylic acid, and 50 g of chitosan are weighed and added sequentially to a reactor containing 5 liters of deionized water. The stirrer is turned on and stirred at 200 rpm for 30 minutes to completely dissolve the solids. 30 g of N,N'-methylenebisacrylamide is weighed as a crosslinking agent and added to the above solution, and stirring is continued for 15 minutes. 100 g of sodium bicarbonate powder is weighed as a pore-forming agent and slowly added to the solution. At this point, the solution begins to generate fine bubbles. Vigorous stirring is continued for 10 minutes to ensure uniform dispersion and sufficient foaming of the sodium bicarbonate. 50 g of nano-titanium dioxide powder with a particle size of 20 nanometers and 30 g of MIL-101(Cr) metal-organic framework material crystal powder are weighed and added to the solution. The mixture is ultrasonically dispersed for 30 minutes to ensure uniform suspension of the particles. High-purity nitrogen gas is introduced into the mixed solution for 30 minutes to remove dissolved oxygen and prevent oxygen from inhibiting polymerization. Five grams of ammonium persulfate were dissolved in a small amount of deionized water as an initiator and added to the reactor. Then, 2.5 grams of tetramethylethylenediamine were added as a promoter. Stirring was continued for one minute, then stopped. The reactor was sealed and allowed to stand at room temperature for six hours to obtain a white, opaque hydrogel block. The hydrogel block was removed and cut into cylindrical particles with a diameter of 5 mm and a height of 5 mm. The particles were spread evenly on a stainless steel tray and placed in a freeze dryer. The freezing temperature was set to -50°C, and the vacuum degree was maintained below 10 Pa. Drying was carried out for 48 hours to obtain a dry granular porous gel composite adsorbent material. Performance tests were performed on the material. After equilibration for 24 hours in a constant temperature and humidity chamber at 25°C and 60% relative humidity, the equilibrium adsorption capacity was calculated to be 0.57 g / g. The compressive strength of a single particle was tested using a universal testing machine, and the result was 0.85 MPa. After 100 adsorption-desorption cycles, the adsorption capacity was tested again, and the result was 0.52 g / g, with a decay rate of less than 8%. The aforementioned adsorbent particles were filled into an adsorption bed module with a packing density of approximately 0.4 g / cm³ and a bed thickness of 80 mm. Under an apparent wind speed of 1.2 m / s, the airflow resistance was measured at 42 Pa, meeting the system performance requirements. In the desorption experiment, the adsorption-saturated bed was heated to 75 degrees Celsius, and the desorption time was 50 minutes, achieving a desorption rate of 92%.

[0041] The beneficial effects of one of the embodiments in this specification include at least the following: By selecting at least one of acrylamide, acrylic acid, and chitosan as monomers, constructing a three-dimensional network framework with N,N'-methylenebisacrylamide as a crosslinking agent, introducing foaming pores with sodium bicarbonate as a pore-forming agent, and doping with nanomaterials and metal-organic framework materials to provide additional adsorption sites, a porous gel composite adsorbent material prepared by solution polymerization and freeze-drying processes forms a multi-level pore structure containing micropores, mesopores, and macropores, which significantly improves the material's adsorption capacity and adsorption rate for water vapor. High equilibrium adsorption capacity can be achieved under mild conditions. At the same time, the freeze-drying process avoids pore collapse during conventional drying processes, maintaining the integrity of the three-dimensional network structure. The doped nanomaterials enhance the material's mechanical strength and thermal conductivity, and the doped metal-organic framework materials provide regular pores with ultra-high specific surface area. The synergistic effect of the two makes the material have both high adsorption performance, rapid desorption kinetics, and excellent cycle stability, reducing the filling amount and replacement frequency of the adsorption bed module, extending the continuous operation cycle of the system, and providing high-performance core functional material guarantee for the humidity control system of constant temperature workshop.

[0042] In one possible implementation, the adsorption bed submodule includes a housing, a heating tube disposed within the housing, a regulating air valve and a flow equalization plate disposed at the air inlet, and a temperature and humidity sensor disposed at the air outlet. The heating tube is connected to the photothermal working fluid circuit of the solar power module or is heated by an electric heating element. Multiple adsorption bed submodules are arranged in parallel and can be put into or taken out of operation independently.

[0043] The outer shell can refer to the enclosed housing component of the adsorption bed submodule, such as one made of corrosion-resistant aluminum alloy or stainless steel, used to house and protect the internal porous gel adsorbent material while forming a channel for air circulation. The heating tube can refer to a tubular heat exchange element installed inside the adsorption bed to heat the adsorbent material and promote its desorption, such as a serpentine or spiral-arranged copper or stainless steel tube. The tube contains a heat transfer fluid from a solar power module, or an internal heating wire heated by electricity. The tube wall contacts the adsorbent material, transferring heat to its interior. The regulating damper can refer to a valve device installed at the air inlet of the adsorption bed to control airflow, such as a louvered or butterfly valve driven by an electric actuator, whose opening can be adjusted to change the airflow entering the adsorption bed as needed. The flow equalization plate can refer to a perforated plate-like component installed behind the air inlet, such as one made of perforated metal plate with evenly distributed holes, used to ensure that the air entering the adsorption bed is evenly distributed across the entire cross-section, avoiding excessively high or low local flow velocities. Temperature and humidity sensors can refer to detection elements installed at the air outlet to measure the temperature and relative humidity of the outflowing air. For example, integrated temperature and humidity probes can be used, with a measurement accuracy of no more than ±0.1 degrees Celsius for temperature and no more than ±0.5% for relative humidity, used to determine the adsorption saturation and desorption completion of the adsorption bed. Photothermal working fluid loop connection can refer to the connection of the heating tubes to the solar energy module's photothermal circulation system via pipes. For example, the working fluid flows out from the collector plate and is diverted into the heating tubes of each adsorption bed, releasing heat and returning to the collector plate for reheating, forming a closed loop. Electric heating elements can refer to heating devices used as backup or supplementary heating devices when there is no solar heat source. For example, electric heating rods can be installed inside the heating tubes or separate electric heating elements can be installed in the adsorption bed, powered by photovoltaic power or energy storage. Parallel arrangement refers to multiple adsorption bed submodules being connected in parallel on both air and heat transfer fluid pipelines. For example, the air inlet of each adsorption bed is connected to the return air main, and the air outlet is connected to the supply air main. The heating pipe inlet of each adsorption bed is connected to the heat transfer fluid supply pipe, and the outlet is connected to the return water pipe, ensuring no interference between them. Independent start-up or shutdown means that each adsorption bed submodule can be started or stopped individually as needed. For example, closing the air inlet regulating valve and the heating pipe inlet and outlet valves can isolate the module from the system without affecting the normal operation of other modules.

[0044] The present invention will be further described below through a detailed embodiment: Based on the aforementioned constant temperature workshop humidity control system, this embodiment provides a detailed description of the specific structure and arrangement of the adsorption bed sub-modules. The system comprises six adsorption bed sub-modules, installed in a drawer-style configuration on a stainless steel gas collection chamber. The gas collection chamber contains a return air main and a supply air main, with each adsorption bed module corresponding to a pair of quick-connect interfaces. The outer shell of each adsorption bed module is welded from a 5mm thick aluminum alloy plate, with dimensions of 1000mm long, 800mm wide, and 400mm high. The outer shell surface is coated with an anti-corrosion coating. The interior of the outer shell is filled with porous gel adsorption material particles, with a thickness of 80mm and a weight of approximately 10kg. Three rows of serpentinely arranged heating tubes are installed inside the outer shell. The heating tubes are made of 12mm diameter, 1mm thick copper tubing, with a spacing of 50mm between tubes, resulting in a total heat exchange area of ​​approximately 2.5 square meters. The two ends of the heating tubes are connected to the inlet and outlet headers of the thermal working fluid, respectively. The inlet header is connected to the solar thermal working fluid supply pipe of the solar power module via a flexible hose, and the outlet header is connected to the return water pipe via a flexible hose. Ball valves are installed at each connection point for isolation. To cope with the absence of solar energy, some heating tubes are also equipped with electric heating rods, each with a power of 500 watts, controlled by solid-state relays.

[0045] The air inlet of the adsorption bed submodule is located at one end of the outer casing, measuring 300 mm by 200 mm. A louvered regulating damper driven by a servo motor is installed at the inlet, with the damper opening continuously adjustable from 0% to 100%. A perforated plate, made of 2 mm thick stainless steel, is installed closely to the inside of the inlet. The perforated plate has a 40% opening rate, 8 mm hole diameter, and 12 mm center-to-center distance between holes. A cavity is left between the perforated plate and the air inlet, improving the uniformity of airflow distribution to over 90%. The air outlet is located at the other end of the outer casing, with the same dimensions as the inlet. A temperature and humidity sensor is installed at the outlet, with its probe extending into the center of the airflow channel to collect real-time temperature and relative humidity data of the outflowing air. This data is transmitted to the intelligent control module via a shielded cable.

[0046] Six adsorption bed sub-modules are arranged in two rows and three columns on the gas collection chamber. The air inlet of each module is connected to the corresponding interface on the return air main of the gas collection chamber via a quick-connect flange, and the air outlet is connected to the corresponding interface on the supply air main. The return air main has a diameter of 400 mm and connects to the outlet of the workshop return air fan. The supply air main also has a diameter of 400 mm and connects to the workshop supply air duct. The heat working fluid supply water pipe and return water pipe are respectively set on both sides of the gas collection chamber. The inlet and outlet of the heating pipe of each adsorption bed are connected to the supply water pipe and return water pipe via flexible metal hoses. The two ends of the hoses use self-sealing quick-connect couplings, which can quickly disassemble and assemble the modules without emptying the system working fluid. The intelligent control module controls the air inlet regulating valve, heating pipe inlet and outlet valves, and electric heating elements of each adsorption bed. It can arbitrarily designate one or more adsorption beds to be in adsorption, desorption, or standby state. The remaining modules are isolated from the system for maintenance or replacement, realizing continuous operation of the system without shutdown and modular maintenance.

[0047] The beneficial effects of one of the embodiments in this specification include at least the following: By designing the adsorption bed submodule as having an independent shell, built-in heating tube, inlet regulating valve and flow equalization plate, and outlet temperature and humidity sensor, and by adopting a parallel arrangement of multiple modules that can be independently put into or taken out of operation, the standardized manufacturing and flexible configuration of the adsorption bed unit are achieved. The flow equalization plate ensures uniform distribution of air entering the adsorption bed, improving the utilization rate and adsorption efficiency of the adsorption material. The outlet temperature and humidity sensor provides the intelligent control module with direct basis for judging adsorption saturation and desorption completion. The heating tube can be connected to the solar thermal working fluid circuit to utilize clean heat energy, or it can be switched to electric heating mode as a backup, improving the reliability and adaptability of the system. In particular, the modular parallel design and independent put-and-take function enable the system to dynamically adjust the number of adsorption beds in operation according to the changes in workshop humidity load, stop some modules to save energy during low load, and isolate individual modules without interrupting the overall operation of the system during maintenance, significantly improving the system's operational flexibility and maintainability, and reducing the total life cycle operating cost.

[0048] In one possible implementation, the condensation water intake module includes a condenser, a gas-liquid separator, a water purification component, and a water storage tank. The refrigerant side of the condenser is connected to the compressor refrigeration cycle, and the air side is connected to the air outlet of the adsorption bed submodule in the desorption state. The water purification component includes a filter, an adsorber, and a sterilizer arranged sequentially along the water flow direction. The water storage tank has a built-in liquid level sensor.

[0049] In this context, a condenser can refer to a heat exchange device used to cool high-temperature, high-humidity airflow, causing water vapor to condense. For example, it may employ a finned tube or plate structure. Refrigerant flows inside the tubes, absorbing heat, while air flowing outside transfers heat to the refrigerant, causing its own temperature to drop and water vapor to reach its dew point and condense. A compressor refrigeration cycle can refer to a vapor compression refrigeration system consisting of a compressor, condenser, expansion valve, and evaporator. For example, the compressor compresses low-temperature, low-pressure refrigerant vapor into a high-temperature, high-pressure gas, which releases heat and condenses into a liquid in the condenser. After being depressurized by the expansion valve, it enters the evaporator, absorbs heat, and evaporates again, returning to the compressor to complete the cycle, providing continuous cooling to the condenser. The air side can refer to the passageway within the condenser through which the air to be processed flows. For example, in a finned tube condenser, the air flows through the gaps between the fins, transferring heat to the refrigerant inside the tubes. A gas-liquid separator can refer to a device installed at the condenser outlet to separate condensed liquid water from uncondensed air. For example, it may employ cyclone separation or gravity sedimentation principles, allowing water droplets to separate from the airflow under gravity or centrifugal force for separate collection. A water purification system can refer to a series of devices that purify the condensed liquid water, including multi-stage treatment units that filter to remove suspended particles, adsorb to remove organic matter and odors, and sterilize and inactivate microorganisms. A filter can refer to filtration equipment used to remove suspended solid particles from water, such as polypropylene melt-blown filter cartridges with a filtration precision of five microns, capable of intercepting impurities such as sediment and rust. An adsorber can refer to a device used to adsorb dissolved organic matter and residual chlorine from water, such as an adsorption column filled with granular activated carbon, utilizing the adsorption effect of activated carbon to remove organic pollutants and odors. A sterilizer can refer to a device used to kill bacteria and viruses in water, such as using an ultraviolet mercury lamp to irradiate flowing water, destroying and inactivating the DNA structure of microorganisms. A water storage tank refers to a sealed container used to store purified liquid water. It is typically made of food-grade stainless steel or polyethylene, and its volume is designed according to the humidification requirements of the workshop. The tank is equipped with an inlet, outlet, overflow outlet, and drain outlet. A level sensor refers to a detection element installed inside the water storage tank for real-time monitoring of the water level. For example, a hydrostatic or ultrasonic level gauge can be used to output a continuous level signal for the intelligent control module to determine the amount of water stored.

[0050] The present invention will be further described below through a detailed embodiment: Based on the aforementioned constant temperature workshop humidity control system, this embodiment provides a detailed description of the specific structure and connection method of the condensate water intake module. The core of the condensate water intake module is a 5-horsepower air-cooled refrigeration unit, using R134a environmentally friendly refrigerant, with a rated cooling capacity of 14 kilowatts. The evaporator of the refrigeration unit serves as the condenser. This condenser has a finned tube structure, composed of copper tubes and aluminum fins, with an air-facing dimension of 800 mm x 600 mm, a depth of four rows, and a designed airflow of 3,000 cubic meters per hour. The refrigerant side of the condenser is connected to the compressor and expansion valve via copper pipes to form a closed loop. The air side is connected to the air outlet of the adsorption bed submodule in desorption state via insulated ducts. The high-temperature, high-humidity airflow generated by desorption passes through an electric three-way regulating valve before entering the condenser, allowing for partial bypass to adjust the airflow entering the condenser as needed.

[0051] A stainless steel gas-liquid separator, using the cyclone separation principle, is installed at the condenser outlet. It has a diameter of 300 mm and a height of 600 mm and is equipped with internal guide vanes. After the airflow enters tangentially, centrifugal force throws water droplets against the separator wall, where they collect and fall into the bottom water collection tank. Dry air is discharged through the top exhaust pipe. The bottom water collection tank of the gas-liquid separator is connected to the water purification unit via a pipe, and a miniature drain pump is installed on the pipe. The pump automatically starts draining when the water level in the collection tank reaches a set height.

[0052] The water purification system consists of a 5-micron polypropylene melt-blown filter, a granular activated carbon adsorber, and a UV sterilizer, connected in series in the direction of water flow. The melt-blown filter has a transparent polycarbonate shell for easy observation of filter contamination; the filter cartridges are replaced every three months. The granular activated carbon adsorber has a stainless steel tank filled with 10 kg of coconut shell granular activated carbon. Water flows from top to bottom through the carbon layer, with a contact time of at least five minutes. The UV sterilizer has a stainless steel chamber and contains a 40-watt low-pressure mercury lamp with a wavelength of 254 nanometers. Water flowing through the chamber is irradiated with UV light, achieving a sterilization efficiency of over 99.9%. The purified water flows through pipes into a storage tank.

[0053] The water storage tank is made of food-grade polyethylene through rotational molding, with a volume of 1000 liters and external dimensions of 1200 mm (length), 800 mm (width), and 1000 mm (height). The top of the tank has an inlet and a manhole for maintenance; the sides have an overflow port and a level sensor mounting port; and the bottom has an outlet and a drain outlet. The level sensor is a hydrostatic submersible level gauge with a range of 0 to 1 meter, outputting a 4 to 20 mA current signal. This signal is converted to a digital signal by a transmitter and transmitted to the intelligent control module via an RS485 bus. The water outlet of the storage tank is connected to the metering pump inlet of the humidification submodule via a pipe. An electric valve and a water quality sensor are installed on the pipe. When the water quality is substandard, the outlet valve automatically closes and a self-cleaning program is initiated. The storage tank also has a backup water supply interface connected to the municipal water supply pipeline. When the water level falls below the set lower limit and solar water intake is insufficient, the backup water valve automatically opens to ensure continuous system operation.

[0054] The beneficial effects of one of the embodiments in this specification include at least the following: by integrating the condenser, gas-liquid separator, water purification component, and water storage tank into a complete condensation and water intake module, and connecting the refrigerant side of the condenser to the compressor refrigeration cycle and the air side to the air outlet of the adsorption bed submodule, efficient condensation of the high-temperature and high-humidity airflow generated by desorption and recovery of liquid water are achieved. The gas-liquid separator ensures effective separation of the gas-liquid two-phase flow, avoiding water droplet discharge with the air and causing water resource loss. The water purification component effectively removes particulate matter, organic matter, and microorganisms that may be carried in the condensate through multi-stage treatment of filters, adsorbers, and sterilizers, ensuring that the water quality of the stored water meets the requirements for humidification. The built-in liquid level sensor in the water storage tank provides real-time water storage information for the intelligent control module, enabling the system to dynamically adjust the water intake and humidification strategy according to the water storage volume. In particular, when the solar water intake is insufficient, it automatically switches to the backup water source, ensuring the reliability of the system's water supply and continuous operation capability. It provides a stable and clean self-produced water source for humidity control in constant temperature workshops, fundamentally reducing dependence on municipal water supply.

[0055] In one possible implementation, the dehumidification submodule includes a return air fan that introduces the workshop return air into the adsorption bed submodule; the humidification submodule includes an atomizer and a water supply pump connected to the atomizer, with the inlet of the water supply pump connected to a water storage component; the humidity control module also includes a distributed network of temperature and humidity sensors.

[0056] The return air fan refers to the fan equipment used to drive the circulation of air in the workshop and make it flow through the adsorption bed sub-module. For example, a centrifugal or axial fan driven by a variable frequency motor can be used, and the speed can be adjusted to change the air volume according to the dehumidification requirements. The atomizer refers to the device that converts liquid water into fine droplets. For example, an ultrasonic piezoelectric ceramic transducer can be used to generate standing waves on the water surface through high-frequency vibration and break them into micron-sized droplets, or a high-pressure nozzle can be used to pressurize water and spray it out to form droplets. The water supply pump refers to the pumping equipment used to deliver water from the water storage component to the atomizer. For example, a micro diaphragm pump or gear pump can be used, with its start / stop and flow rate controlled by an intelligent control module, matched with the atomizer to ensure the atomization effect. Distributed layout refers to arranging multiple sensors in different locations in the workshop according to a certain spatial grid. For example, sensors can be set up around production equipment, near supply and return air vents, and in the operator's work area to comprehensively monitor the temperature and humidity distribution in the workshop. A temperature and humidity sensor network can refer to a data acquisition system consisting of multiple temperature and humidity sensors connected by wired or wireless means. For example, each sensor is equipped with a microprocessor and a communication module. The collected data is aggregated to the intelligent control module via a CAN bus or wireless local area network for analyzing the uniformity and dynamic changes of temperature and humidity in the workshop.

[0057] The present invention will be further described below through a detailed embodiment: Based on the aforementioned constant temperature workshop humidity control system, this embodiment provides a detailed description of the specific configuration of the dehumidification submodule, humidification submodule, and sensor network within the humidity control module. The core of the dehumidification submodule is a variable frequency centrifugal return air fan with a rated airflow of 10,000 cubic meters per hour, a total pressure of 400 Pa, and a motor power of 7.5 kW. The accompanying frequency converter allows for stepless speed regulation from 0 to 1400 rpm. The fan inlet is connected to the workshop's return air vent via a 400 mm diameter circular duct, and the outlet is connected to the main return air duct of the air collection chamber via a duct of the same diameter. The return air vents are located at the lower part of the workshop side wall, with six evenly distributed grille-type return air vents, each measuring 600 mm by 400 mm, ensuring that air from the lower part of the workshop is preferentially drawn in. When the intelligent control module determines that dehumidification is needed, it starts the return air fan and adjusts the fan speed according to the humidity deviation; the greater the deviation, the higher the speed and the corresponding increase in airflow.

[0058] The humidification submodule consists of six ultrasonic atomizers, each with a rated atomization capacity of 10 kg per hour and an atomized particle size of 3 to 5 micrometers. The six atomizers are evenly installed within the main air supply duct, with the nozzles facing the airflow direction. Each atomizer is equipped with a miniature diaphragm water pump with a flow rate of 2 liters per minute and an outlet pressure of 0.3 MPa. The inlets of all six water pumps are connected to the same water distributor, which is connected to the outlet of the water storage tank via pipes. Electric regulating valves and flow meters are installed on the pipes to control the total water supply and distribute it among the atomizers. When the intelligent control module determines that humidification is needed, it activates the corresponding number of atomizers and water pumps, adjusting the opening of the electric regulating valves and the fan speed according to the humidity deviation; the greater the deviation, the greater the humidification. During humidification, the intelligent control module continuously monitors the atomizer operating current and water pressure to ensure stable atomization.

[0059] The temperature and humidity sensor network consists of twenty sensors, all digital temperature and humidity probes with a temperature measurement accuracy of ±0.1 degrees Celsius and a humidity measurement accuracy of ±0.5% relative humidity, and an IP65 protection rating. The twenty sensors are evenly arranged in a 5x4 grid at a height of 2.5 meters below the workshop ceiling, with a grid spacing of approximately 5 meters. Each sensor is connected to a fieldbus gateway via shielded twisted-pair cables, and the gateway uploads data to the intelligent control module via Ethernet. The intelligent control module collects data from all sensors once per second, calculating indicators such as the workshop's average humidity, maximum humidity deviation, and temperature gradient, for use in humidity control decisions and airflow optimization. When a significant deviation from the average humidity in a certain area is detected, the intelligent control module can adjust the opening of the electric regulating valve on the corresponding area's air supply branch duct, increasing or decreasing the air supply volume in that area to compensate for humidity differences.

[0060] The beneficial effects of one of the embodiments in this specification include at least the following: by configuring the dehumidification submodule as a return air fan to introduce workshop air into the adsorption bed submodule, the workshop air circulation dehumidification treatment is realized; frequency conversion regulation allows the dehumidification capacity to be flexibly adjusted according to real-time needs, avoiding unnecessary energy waste; the humidification submodule is equipped with an atomizer and a water supply pump and is directly connected to the water storage component, realizing the immediate use of self-generated water source and precise humidification control; the fine droplets generated by ultrasonic atomization can quickly evaporate and merge into the air, improving humidification efficiency and uniformity; in particular, the distributed temperature and humidity sensor network can comprehensively monitor the humidity status of various areas of the workshop, providing refined feedback data for the intelligent control module, enabling it to make targeted adjustments according to regional differences, effectively solving the problem of uneven humidity distribution in large-space workshops, and significantly improving the overall humidity control quality and environmental comfort of the constant temperature workshop.

[0061] In one possible implementation, the intelligent control module includes: a data acquisition submodule, which collects electrical parameters, thermal parameters, and energy storage status of the solar power module; temperature, humidity, pressure difference, and heating power at the inlet and outlet of the adsorption bed submodule; condensation temperature, water level, and water quality of the condensation water extraction module; temperature and humidity at various measuring points in the constant temperature workshop; and irradiance and ambient temperature and humidity at an outdoor weather station; a state estimation submodule, which integrates the data collected by the data acquisition submodule to estimate the remaining adsorption capacity and desorption completion of the porous gel adsorption material in the adsorption bed module in real time; an optimization decision submodule, which uses humidity control accuracy, solar energy contribution rate, and energy consumption as objective functions, and uses the switching time between adsorption and desorption states, heating temperature setpoint, condensation temperature setpoint, humidification amount, and energy storage charging and discharging power as decision variables to solve for the control sequence; and an execution drive submodule, which converts the control sequence into signals and outputs them to the corresponding actuators.

[0062] The data acquisition submodule refers to the hardware and software unit responsible for acquiring raw measurement data from various sensors and transmitters. For example, it reads current or voltage signals from temperature, pressure, and flow sensors via an analog input module, reads data from smart meters via a digital communication interface, and packages all data into a real-time database after being formatted and timestamped. Electrical parameters refer to electrical quantities such as voltage, current, power, and frequency output from the solar power module. For example, it measures the output of the photovoltaic array using DC voltage sensors and Hall current sensors, and measures the inverter output using an energy meter. Thermal parameters refer to thermal quantities such as temperature, flow rate, and pressure of the working fluid in the solar-thermal loop. For example, it measures the collector outlet temperature using a PT100 platinum resistance thermometer and the circulating flow rate using a turbine flow meter. Energy storage status refers to the state of charge of the lithium battery pack and the voltage of the supercapacitor pack in the hybrid energy storage submodule. For example, it reads the state of charge percentage through a battery management system and measures the capacitor voltage using a voltage sensor. Differential pressure refers to the air pressure difference between the inlet and outlet of the adsorption bed submodule, measured by a differential pressure transmitter, reflecting changes in the airflow resistance of the adsorption bed. Heating power can refer to the actual electrical or thermal power consumed by the heating tubes in the adsorption bed. For example, it can be measured by a power transmitter to measure the electrical power of an electric heating rod, or by a heat flow meter to measure the heat brought in by the photothermal working fluid. Condensation temperature can refer to the setpoint and actual value of the condenser temperature in the condensation water intake module. For example, it can be measured by a temperature sensor to measure the surface temperature of the evaporator or the refrigerant evaporation temperature. Water level and water quality can refer to the liquid level and water quality parameters in the storage tank. For example, a liquid level sensor measures the water level, a conductivity sensor measures the conductivity of water to indirectly reflect purity, and a turbidity sensor measures the turbidity of the water. An outdoor weather station can refer to a combination of instruments installed on the roof to measure environmental conditions. For example, it can include a total radiation meter to measure solar irradiance, a thermometer and hygrometer to measure ambient temperature and humidity, an anemometer to measure wind speed, and a wind vane to measure wind direction. The state estimation submodule can refer to a software unit that infers the internal, unmeasurable states of the system based on measurement data using mathematical algorithms. For example, it can use an extended Kalman filter or a neural network to fuse multi-source data and estimate the remaining adsorption capacity of the adsorbent material in real time. Remaining adsorption capacity refers to the potential ability of a porous gel adsorbent material to continue adsorbing water vapor in its current state, expressed as how many grams of water vapor can be adsorbed per gram of material, used to determine when the adsorption bed is nearing saturation. Desorption completion refers to the percentage of water vapor released during desorption relative to the total adsorbed water vapor, inferred by calculating the cumulative water intake during desorption or from the humidity change curve at the air outlet, used to determine whether desorption is complete. The optimization decision submodule refers to a software unit that solves for the optimal control command based on the objective function and constraints using an optimization algorithm, such as using a model predictive control algorithm to solve for the optimal control sequence for a future period within each control cycle. Humidity control accuracy refers to the system's ability to maintain workshop humidity near the target value, evaluated using the integral or root mean square of the absolute value of the deviation between the actual humidity and the target value.Solar energy contribution rate can refer to the proportion of energy provided by the solar power module to the total energy consumption of the system, expressed as a percentage, reflecting the system's renewable energy utilization level. Energy consumption can refer to the total energy consumed by the system during operation, including electrical energy consumed by all electrical equipment such as fans, compressors, pumps, and heaters, as well as thermal energy consumed by auxiliary heat sources. Decision variables can refer to control parameters that the optimization decision submodule can freely adjust. For example, the adsorption bed switching time determines which adsorption beds enter the adsorption or desorption state and when; the heating temperature setpoint determines the heat intensity of the desorption process; the condensation temperature setpoint determines the energy consumption and efficiency of the water extraction process; the humidification amount determines the output intensity of the humidification submodule; and the energy storage charging and discharging power determines the charging and discharging rate of the energy storage submodule. Control sequence can refer to a set of control instructions arranged in chronological order, such as the setpoint sequence of each actuator every fifteen minutes in the next hour. Execution drive submodule can refer to the hardware and software units that convert control instructions into specific physical signals, such as sending speed setpoints to the frequency converter through an analog output module, controlling the on / off state of relays through a digital output module, and sending parameter setpoints to intelligent devices through a communication interface.

[0063] The present invention will be further described below through a detailed embodiment: Based on the aforementioned constant temperature workshop humidity control system, this embodiment provides a detailed description of the internal structure and workflow of the intelligent control module. The intelligent control module is centered on an embedded industrial control computer, running a real-time operating system, and includes four software sub-modules: data acquisition, state estimation, optimization decision-making, and execution drive. The industrial control computer connects to a fieldbus gateway via Ethernet. The gateway is connected to multiple analog input modules, digital input / output modules, and an RS485 communication module, used to connect to over 120 sensors and actuators distributed throughout the field.

[0064] The data acquisition submodule performs data acquisition tasks cyclically once per second. It reads the DC voltage and current of the photovoltaic array, the terminal voltage and charging / discharging current of the lithium battery pack, the voltage of the supercapacitor pack, the differential pressure between the inlet and outlet of the adsorption bed, the power of the heating element, the temperature of the condenser, the water level in the storage tank, and the radiation intensity and ambient temperature and humidity from the outdoor weather station via the analog input module. It reads the measured values ​​from the intelligent temperature and humidity sensors via the RS485 communication interface; each sensor returns two floating-point numbers for temperature and humidity, for a total of forty values ​​from twenty sensors. It also reads the voltage, current, temperature, and flow data built into the photovoltaic-photothermal integrated submodule via the CAN bus. All acquired data is timestamped and stored in a circular buffer for use by other submodules.

[0065] The state estimation submodule performs an estimation task every 30 seconds. It acquires historical data from the data acquisition submodule for the past five minutes, including inlet and outlet temperatures and humidity, pressure difference, heating power, average humidity in the workshop, and outdoor temperature and humidity for each adsorption bed. An extended Kalman filter algorithm is used to establish a dynamic model of the adsorption beds. State variables include the average adsorption capacity of the adsorbent material in each adsorption bed, the average bed temperature, and the bed resistance coefficient. Using inlet and outlet humidity and pressure difference as observations, the state variables are updated in real time through a filtering algorithm to estimate the remaining adsorption capacity and desorption completion rate of each adsorption bed. The remaining adsorption capacity is expressed as a percentage of the current adsorption capacity relative to the maximum adsorption capacity, and the desorption completion rate is expressed as a percentage of the total water vapor adsorbed in this cycle that has been released.

[0066] The optimization decision-making submodule performs optimization calculations every five minutes. It obtains the current output power of the solar power module, the state of charge of the energy storage, and the water level in the storage tank from the data acquisition submodule; the remaining adsorption capacity and desorption completion rate of each adsorption bed from the state estimation submodule; and the real-time humidity and target humidity value of the workshop from the humidity control module. The optimization decision-making submodule incorporates a multi-objective optimization model. The objective function consists of three weighted terms: the humidity control accuracy term is the sum of squares of the deviations between the workshop humidity and the target value in the next hour; the solar energy contribution rate term is the negative value of the proportion of solar energy supply to total energy consumption in the next hour; and the energy consumption term is the total energy consumption of the system in the next hour. Decision variables include: the adsorption / desorption status indicators of each adsorption bed every fifteen minutes in the next hour; the heating temperature setpoint of each desorption bed; the temperature setpoint of the condenser; the humidification capacity setpoint of the humidification submodule; and the charging / discharging power setpoint of the energy storage submodule. The constraints include: a limit on the number of adsorption bed switching operations to prevent frequent switching; an upper limit on heating temperature to prevent material damage; a lower limit on condensation temperature to prevent frosting; an upper limit on humidification to prevent oversaturation; and limits on energy storage charging and discharging power and upper and lower limits on the state of charge. The optimization algorithm employs a rolling time-domain method based on model predictive control. In each optimization cycle, it solves a nonlinear programming problem to obtain the optimal control sequence for the next hour, but only executes the control commands for the first fifteen minutes; the optimization is repeated in the next cycle.

[0067] The execution drive submodule outputs control commands ten times per second. Based on the current 15-minute control sequence provided by the optimization decision submodule, it sends control signals to each actuator. It sends a frequency setpoint to the return air fan inverter, outputting a 4-20 mA current via the analog output module; it sends an opening setpoint to the adsorption bed heating tube electric valve, outputting a 0-10 V voltage via the analog output module; it sends a pulse width modulation duty cycle to the electric heating rod solid-state relay, outputting a pulse signal via the digital output module; it sends a condensing temperature setpoint to the compressor refrigeration controller, writing parameters via RS485 communication; it sends start / stop and flow commands to the atomizer water pump, controlling the relay via digital output and the regulating valve via analog output; and it sends a charge / discharge power command to the energy storage bidirectional converter via CAN bus communication. Simultaneously, the execution drive submodule monitors the feedback signals from each actuator in real time, immediately alarming and initiating a fault handling procedure when it detects incomplete execution or abnormal feedback.

[0068] The beneficial effects of one of the embodiments in this specification include at least the following: by dividing the intelligent control module into a data acquisition submodule, a state estimation submodule, an optimization decision-making submodule, and an execution drive submodule, a complete perception-estimation-decision-execution closed-loop control architecture is constructed. The data acquisition submodule comprehensively acquires multi-source information such as solar energy supply, adsorption treatment, condensation water intake, workshop environment, and outdoor weather, providing a rich data foundation for system decision-making. The state estimation submodule estimates the internal states of the adsorption material, such as the remaining adsorption capacity and desorption completion, which cannot be directly measured, in real time by integrating multi-source data, enabling the control system to accurately grasp the working process of the adsorption bed. The optimization decision-making submodule takes humidity control accuracy, solar energy contribution rate, and energy consumption as comprehensive objectives, and solves the optimal control sequence through model predictive control algorithms, realizing multi-objective collaborative optimization and forward-looking scheduling. The execution drive submodule accurately converts control commands into action signals of each actuator, ensuring the implementation of decisions. The entire architecture enables the system to have intelligent characteristics of self-adaptation, self-optimization, and self-coordination, and can continuously maintain the optimal operating state under complex and changing working conditions, significantly improving the intelligence level and comprehensive efficiency of humidity control in constant temperature workshops.

[0069] In one possible implementation, the optimization decision submodule determines the system operation mode as dehumidification priority mode, humidification priority mode, or water intake priority mode based on the deviation between the real-time humidity value and the target humidity value, the water storage capacity of the water storage component, and the real-time output power of the solar power module. In dehumidification priority mode, the optimization decision submodule increases the number of adsorption bed submodules in the adsorption state. In humidification priority mode, the optimization decision submodule activates the humidification submodule when the water storage capacity of the water storage component is higher than a first threshold, and forcibly switches to water intake priority mode when the water storage capacity is lower than a second threshold. In water intake priority mode, the optimization decision submodule prioritizes switching the adsorption bed submodules in the saturated adsorption state to the desorption state.

[0070] The system operation mode refers to the overall operation strategy selected by the intelligent control module based on the current operating conditions. Examples include a dehumidification priority mode for high humidity, a humidification priority mode for low humidity, and a water intake priority mode for insufficient water storage. The dehumidification priority mode prioritizes reducing workshop humidity. For instance, when workshop humidity exceeds the upper limit of the target value, the system prioritizes dehumidification capacity by increasing the number of adsorption beds, even if this consumes more energy or reduces water intake. Increasing the number of adsorption bed sub-modules in adsorption mode means switching more adsorption beds that were originally in standby or desorption mode to adsorption mode, such as increasing from two adsorption beds to three or four, to improve dehumidification capacity per unit time. The humidification priority mode prioritizes increasing workshop humidity. For instance, when workshop humidity is below the lower limit of the target value and water storage is sufficient, the system activates the humidification sub-module to replenish water vapor in the workshop. The first threshold can refer to the minimum water storage level required to initiate humidification, such as 20% of the total water tank capacity. When the water storage level is above this value, sufficient water is considered available for humidification. The second threshold can refer to the lower limit of water storage required to trigger the water-priority mode, such as 10% of the total water tank capacity. When the water storage level is below this value, water is considered scarce, and water production must be prioritized, suspending unnecessary humidification operations. Forced switching to water-priority mode means that regardless of the current humidity level, the system automatically shifts its operating strategy to prioritize replenishing the water storage, such as suspending humidification and activating as much adsorption bed desorption as possible. Water-priority mode can also refer to an operating strategy that prioritizes replenishing the water storage components. For example, when the water storage is too low, the system prioritizes switching the saturated adsorption bed to desorption mode for water production, even if the workshop humidity may need to be appropriately sacrificed. Prioritizing the switching of adsorption bed sub-modules in a saturated adsorption state to a desorption state can mean that among multiple adsorption beds, those that are close to adsorption saturation are selected for desorption and regeneration. For example, based on the remaining adsorption capacity data provided by the state estimation sub-module, the adsorption bed with the lowest remaining capacity is selected to enter desorption first.

[0071] The present invention will be further described below through a detailed embodiment: Building upon the aforementioned intelligent control module, this embodiment provides a detailed description of the mode decision-making function of the optimization decision-making submodule. At the beginning of each control cycle, the optimization decision-making submodule first acquires three key parameters: the deviation between the real-time humidity value and the target humidity value, the percentage of water stored in the water storage component, and the ratio of the real-time output power to the rated power of the solar power module. Based on these parameters, it determines the current system operating mode.

[0072] On a summer afternoon, the workshop humidity rose to 49% relative humidity due to equipment heat dissipation and personnel activity, exceeding the target value of 45%, a deviation of +4%. At this time, the water storage was at 65%, which was sufficient, and the solar energy output was at 80% of its rated value. The optimization decision submodule, based on a preset rule base, determined that the primary problem was excessive humidity, and since the water storage was sufficient, there was no need to prioritize water extraction. Therefore, it decided to enter a dehumidification priority mode. In this mode, the optimization decision submodule increased the weighting coefficient of humidity control accuracy in the objective function, while appropriately decreasing the weighting coefficients of solar energy contribution rate and energy consumption. Specifically, the number of adsorption bed submodules in the adsorption state was increased from two to four, with all four adsorption beds simultaneously performing adsorption dehumidification. The return air fan speed was increased to 90% of its rated speed to increase the circulating air volume. The two adsorption beds in the desorption state continued desorption until they completed their desorption and then went into standby mode, without adding any new desorption tasks, thus concentrating energy on dehumidification.

[0073] On a clear autumn morning, the workshop's humidity dropped to 42% relative humidity due to a nighttime temperature decrease, below the target value of 45%, a deviation of -3%. At this time, the water storage level was 25%, still above the first threshold of 20%, and the solar energy output was at 30% of its rated value. The optimization decision submodule determined that the primary problem was the low humidity, but the water storage level was sufficient to support humidification; therefore, it decided to enter the humidification priority mode. In this mode, the optimization decision submodule activated the humidification submodule, calculated the required humidification capacity based on the humidity deviation to be 25 kg per hour, and started three ultrasonic atomizers, with the water pump operating at 80% of its rated flow rate. Simultaneously, to avoid excessive water consumption during humidification, the optimization decision submodule lowered the condensation temperature setpoint of the condensate extraction module from 8 degrees Celsius to 5 degrees Celsius to enhance water extraction capacity and replenish the water storage as much as possible while humidifying.

[0074] On a winter midday, the workshop humidity was within the target range, but due to several consecutive days of insufficient solar radiation, the water storage level continued to drop to 8%, below the second threshold of 10%. At this point, the humidity deviation was +1%, within the allowable range, and the solar power output was only 15% of the rated value. The optimization decision-making submodule determined that the primary problem was the severe water shortage and that water extraction must be prioritized. Therefore, it forcibly switched to water extraction priority mode, suspending the humidification submodule. In this mode, the optimization decision-making submodule sequentially switched the three adsorption beds in a saturated adsorption state to a desorption state, prioritizing water production using limited thermal energy. The condensation temperature setpoint was lowered to 3 degrees Celsius to maximize water vapor recovery, and the return air fan speed was reduced to conserve energy. All available power and thermal energy were prioritized for the desorption and condensation processes. Once the water storage level recovered to above 15%, the optimization decision-making submodule automatically exited the water extraction priority mode and resumed normal regulation based on the humidity deviation.

[0075] The beneficial effects of one of the embodiments in this specification include at least the following: by optimizing the decision-making submodule to dynamically determine the system's operating mode based on real-time humidity deviation, water storage capacity, and solar power output, and by adopting targeted control strategies in different modes, the system can adaptively adjust its operating priorities according to changes in operating conditions. When humidity is too high, dehumidification capacity is prioritized; when humidity is too low and water storage capacity is sufficient, humidification needs are prioritized; and when water storage capacity is critically low, a forced switch to a water intake priority mode is implemented to replenish water at all costs. This effectively avoids resource misallocation and operational failures caused by a single strategy. In particular, the forced switch to a water intake priority mode when water storage capacity is below the second threshold ensures that the system will not lose its humidification capacity due to water depletion, improving the system's robustness and self-sufficiency. At the same time, the mode switching logic is clear and reliable, and is easy to implement in engineering and maintain.

[0076] In one possible implementation, the intelligent control module includes a multi-adsorption bed collaborative scheduling submodule. This submodule predicts changes in solar irradiance intensity and humidity load in the constant-temperature workshop within a set time period, and generates a time-series allocation scheme for the adsorption state, desorption state, and cooling standby state of the adsorption bed submodules. This ensures that the number of adsorption bed submodules in the adsorption state is not less than a preset lower limit, and that the desorption period of the adsorption bed submodules in the desorption state overlaps with the peak solar irradiance period.

[0077] The multi-adsorption bed collaborative scheduling submodule refers to a software unit responsible for coordinating the working status of multiple adsorption beds. For example, it generates a schedule based on predicted data to show the status of each adsorption bed at various points in time over a future period. Predicting changes in solar irradiance intensity over a set future time period refers to estimating the solar radiation intensity change curve for the next few hours using meteorological forecast data or historical data models. For example, it can obtain irradiance predictions for the next four hours in 15-minute increments by accessing the local meteorological bureau's API or using a time-series prediction model based on historical data. Predicting changes in humidity load in a constant-temperature workshop refers to estimating the future humidity trend of the workshop based on production plans and historical data. For example, it can estimate the humidity load for the next few hours using a load prediction model based on factors such as workshop production schedules, equipment start-up and shutdown plans, and changes in outdoor temperature and humidity. The time-series allocation scheme refers to a schedule of adsorption bed statuses arranged chronologically, such as a two-dimensional table containing the status indicators of four adsorption beds for the next four hours in 15-minute increments. The preset lower limit refers to the minimum number of adsorption beds simultaneously in an adsorption state set to ensure basic dehumidification capacity. For example, setting it to two ensures that at least two adsorption beds are dehumidifying under any circumstances. Overlapping the desorption period with the peak solar irradiance period can refer to scheduling the energy-intensive desorption process during the period when solar energy resources are most abundant. For example, the desorption start-up time of the adsorption bed can be adjusted to around noon when the irradiance is strongest, in order to maximize the use of solar thermal energy and reduce auxiliary energy consumption.

[0078] The present invention will be further described below through a detailed embodiment: Based on the aforementioned intelligent control module, this embodiment provides a detailed description of the workflow of the multi-adsorption bed collaborative scheduling submodule. The system is configured with six adsorption bed submodules, numbered A to F respectively. The multi-adsorption bed collaborative scheduling submodule executes a scheduling plan generation task for the next four hours once every hour on the hour.

[0079] First, the system acquires solar irradiance prediction data. It accesses the hourly irradiance forecast service provided by the local meteorological bureau via Ethernet, and simultaneously uses a built-in autoregressive moving average model based on historical data to refine and detail the forecast data, generating a irradiance prediction sequence for the next four hours, broken down into 15-minute intervals, in watts per square meter. For example, the predicted irradiance from 12:00 noon to 4:00 watts per square meter is 850, 900, 800, 750, 650, 550, 450, 350, and 250 watts per square meter, respectively.

[0080] Secondly, the system acquires moisture load forecast data. Based on the four-hour production plan provided by the workshop production management system, including the number of operating equipment, personnel, and material entry and exit, and combined with outdoor temperature and humidity forecasts, the system uses a pre-trained neural network model to predict the workshop moisture load changes every 15 minutes for the next four hours, in kilograms per hour. For example, the predicted moisture loads from 12:00 noon to 4:00 pm are 12, 14, 16, 15, 13, 11, 10, 9, and 8 kilograms per hour, respectively.

[0081] Then, the current state and performance parameters of each adsorption bed are obtained. The state estimation submodule retrieves information such as the current adsorption percentage, whether the bed is in adsorption or desorption state, and the remaining desorption time for each adsorption bed. For example, the current states are: Bed A adsorbs 85%, Bed B adsorbs 60%, Bed C has 20 minutes remaining for desorption, Bed D is ready, Bed E is ready, and Bed F is ready.

[0082] The multi-adsorption bed collaborative scheduling submodule uses these predicted data and the current state as input to solve a mixed-integer programming problem. The decision variable is the state of each adsorption bed every fifteen minutes over the next four hours, with states that can be adsorbed, desorbed, or on standby. Constraints include: the number of adsorption beds in the adsorption state at any given time is no less than a preset lower limit of two; the duration of each desorption cycle for each adsorption bed is no less than forty minutes; there is at least a sixty-minute cooling time between two desorption cycles for each adsorption bed; and the number of adsorption beds in the desorption state at any given time does not exceed the upper limit corresponding to the photothermal energy supply capacity, for example, a maximum of three can be desorbed simultaneously based on the predicted irradiance. The optimization objective is to maximize the overlap between the desorption periods and the irradiance peaks, thereby maximizing the sum of the irradiance corresponding to the desorption periods; and to minimize the number of adsorption bed switching cycles to reduce mechanical wear.

[0083] The optimal time-series allocation scheme is obtained by solving the problem. For example, the scheme is as follows: From 12:00 to 12:45, A, B, and D adsorb; C desorbs for the last 15 minutes; E and F are on standby. From 12:45 to 13:30, A, B, and D adsorb; E begins desorption; F is on standby. From 13:30 to 14:15, A and D adsorb; B finishes adsorption and becomes on standby; C begins desorption; E continues desorption; F is on standby. From 14:15 to 15:00, A adsorbs; C and E continue desorption; D becomes on standby; B and F are on standby. And so on. This scheme ensures that the desorption period is concentrated during the period of strongest irradiance from 12:00 to 15:00, and that there are always more than two adsorption beds adsorbing to ensure dehumidification capacity.

[0084] The multi-adsorption bed collaborative scheduling submodule transmits the generated plans to the optimization decision submodule in tabular form as a reference benchmark for its rolling optimization. During actual execution, the optimization decision submodule can fine-tune the plans based on real-time deviations, but overall adheres to the collaborative scheduling plan.

[0085] The beneficial effects of one of the embodiments in this specification include at least the following: by setting up a multi-adsorption bed collaborative scheduling submodule, based on the prediction of solar irradiance and workshop moisture load, a time-series allocation scheme for each adsorption bed in the future period is generated, so that the number of adsorption beds in the adsorption state always meets the minimum dehumidification requirements. At the same time, the energy-intensive desorption process is concentrated in the peak solar irradiance period, which maximizes the utilization of solar energy resources and minimizes the dependence on grid auxiliary energy, effectively reducing system operating costs and carbon emissions. Meanwhile, predictive scheduling avoids the short-sightedness and volatility of temporary decisions, improves the stability and predictability of system operation, provides a scientific scheduling benchmark for the optimization decision-making submodule, and makes the energy management and task allocation of the entire system more reasonable and efficient.

[0086] In one possible implementation, the intelligent control module also includes a fault diagnosis submodule. The fault diagnosis submodule identifies the fault type and fault location based on the collected data. For non-critical faults, it automatically switches to redundant sensors or redundant actuators. For critical faults, it isolates the fault submodule and enables the backup submodule.

[0087] The fault diagnosis submodule refers to a software unit responsible for monitoring the system's operating status, identifying abnormal situations, and taking countermeasures. For example, it analyzes whether sensor data exceeds normal ranges, whether actuator feedback matches commands, and whether communication is interrupted to determine if a fault has occurred and its specific nature. Fault type identification refers to determining the category of the fault, such as sensor fault, actuator fault, communication fault, leakage fault, or blockage fault. Fault location identification refers to identifying the specific equipment or component where the fault occurred, such as which sensor in which adsorption bed, which fan, or which valve. Non-critical faults refer to faults that do not affect the core functions of the system or can be compensated for by redundancy, such as an abnormal reading from a temperature and humidity sensor but with other available sensors nearby, or a stuck regulating valve that can be compensated for by other valves. Redundant sensors refer to multiple identical or equivalent sensors configured for critical parameters; for example, if any one of twenty temperature and humidity sensors in a workshop fails, it can be replaced by a weighted average of neighboring sensors. Redundant actuators refer to multiple identical or equivalent actuators configured for critical functions. For example, if any one of six adsorption beds fails, the other adsorption beds can take over its load. Automatic switching refers to the process by which the system automatically isolates the faulty equipment and transfers its function to the backup equipment without manual intervention. Critical faults refer to faults that severely affect the core functions of the system and have no redundant alternatives, such as a ruptured adsorption bed heating tube leading to working fluid leakage, or a burnt-out return air fan motor causing dehumidification cycle interruption. Isolating faulty submodules refers to physically or logically separating the equipment experiencing a critical fault from the system. For example, closing the air inlet valve and heating tube inlet / outlet valves of the faulty adsorption bed, disconnecting it from the air circuit and working fluid circuit. Activating backup submodules refers to putting a standby module with the same function into operation to take over the work of the faulty module. For example, switching a standby adsorption bed to adsorption mode to take over the dehumidification task of the faulty bed.

[0088] The present invention will be further described below through a detailed embodiment: Based on the aforementioned constant temperature workshop humidity control system, this embodiment provides a detailed description of the specific implementation of the fault diagnosis submodule. As a background task of the intelligent control module, the fault diagnosis submodule runs once per second to monitor and diagnose all collected data and actuator feedback.

[0089] The fault diagnosis submodule includes a built-in fault feature library containing typical manifestations of various faults. For example, sensor fault characteristics include: readings remaining unchanged for extended periods, readings exceeding the measurement range, reading change rates exceeding physical limits, and excessive deviations from neighboring sensor readings. Actuator fault characteristics include: excessive deviations between actuator feedback position and command position, no changes in relevant process parameters after actuator operation, and abnormal actuator current. Communication fault characteristics include: prolonged equipment unresponsiveness and frequent data packet verification errors. Leakage fault characteristics include: abnormal drops in water tank levels and abnormal increases in humidity at the adsorption bed outlet. Blockage fault characteristics include: abnormally high pressure differentials in the adsorption bed and decreased airflow.

[0090] During a certain operation, the fault diagnosis submodule detected that a temperature and humidity sensor in the northwest corner of the workshop maintained a constant reading of 45.3 degrees Celsius for five consecutive minutes, while the readings of other surrounding sensors fluctuated normally between 45.0 and 45.6 degrees Celsius. Feature database matching determined that the sensor was experiencing a stuck fault, which was considered a non-critical fault. The fault diagnosis submodule immediately marked the sensor as faulty and notified the data acquisition submodule to automatically exclude the sensor's data when calculating the workshop's average humidity, replacing it with a weighted average of the data from its four neighboring sensors. Simultaneously, the fault diagnosis submodule recorded the fault information in the system log and issued a maintenance warning through the human-machine interface, prompting maintenance personnel to replace the sensor when convenient. The entire process did not affect humidity control in any way.

[0091] During another operation, the fault diagnosis submodule detected that the inlet temperature of the heating tube in adsorption bed B was set to 75 degrees Celsius in desorption mode, but the actual inlet temperature was only 35 degrees Celsius, and the return water temperature of the photothermal working fluid showed no significant change. Simultaneously, a liquid leak alarm signal was detected on the ground near adsorption bed B. Feature database matching determined that the heating tube of adsorption bed B might be ruptured and leaking, classifying it as a critical fault. The fault diagnosis submodule immediately triggered emergency procedures: closing the inlet and outlet electric valves of the heating tube in adsorption bed B, isolating adsorption bed B from the photothermal working fluid circuit; closing the air inlet regulating valve of adsorption bed B, isolating it from the air circuit; and marking adsorption bed B as fault-locked. Simultaneously, the fault diagnosis submodule notified the optimization decision submodule to reassign the dehumidification task originally performed by adsorption bed B to adsorption bed F, which was in standby mode. Adsorption bed F immediately switched from standby mode to adsorption mode and began operation. The entire switching process was completed within 30 seconds, and the humidity in the workshop did not fluctuate significantly. The fault diagnosis submodule also sent an audible and visual alarm to the central control room, displaying detailed information on the fault type and location of adsorption bed B, and prompting emergency repairs.

[0092] In another instance, the fault diagnosis submodule detected that the return air fan inverter's feedback frequency was 50 Hz, but the actual measured fan speed was only 30% of the rated speed, and the fan current was abnormally low. Feature library matching determined that the connection between the fan and motor might be broken or the fan impeller might be jammed, classifying it as a critical fault. Since the return air fan was the only main circulating fan with no redundancy, the fault diagnosis submodule could not automatically switch. At this point, the system safety protection program was immediately triggered: all adsorption beds were stopped, all air valves were closed, the backup exhaust fan was activated to maintain a slight negative pressure in the workshop, and an audible and visual alarm was used to notify maintenance personnel for emergency handling. Simultaneously, the fault information was uploaded to the enterprise management information system, and the emergency plan was activated.

[0093] The beneficial effects of at least one embodiment in the various embodiments of this specification include: by setting up a fault diagnosis submodule, real-time monitoring and intelligent analysis of system operation data can be performed, enabling rapid and accurate identification of fault types and locations. For non-critical faults, automatic switching to redundant sensors or redundant actuators achieves transparent fault repair and seamless recovery, avoiding system downtime or performance degradation due to minor faults. For critical faults, the faulty submodule can be decisively isolated and a backup submodule activated, minimizing the impact of the fault and preventing the fault from spreading and triggering a chain reaction. Simultaneously, precise alarms guide maintenance personnel to quickly locate and handle problems, significantly shortening fault repair time and improving system availability and reliability, providing strong support for continuous and stable production in constant temperature workshops. In particular, the linkage mechanism between fault diagnosis, redundancy switching, and backup activation gives the system strong fault tolerance and self-healing capabilities, reflecting the high reliability and intelligence level of the system design. It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that the embodiments of this specification are not limited to the described order of actions, because according to the embodiments of this specification, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily necessary for the embodiments of this specification.

[0094] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0095] The preferred embodiments disclosed above are merely illustrative of this specification. The optional embodiments do not exhaustively describe all details, nor do they limit the invention to the specific implementations described. Clearly, many modifications and variations can be made based on the embodiments described herein. These embodiments are selected and specifically described in this specification to better explain the principles and practical applications of the embodiments, thereby enabling those skilled in the art to better understand and utilize this specification. This specification is limited only by the claims and their full scope and equivalents.

Claims

1. A humidity control system for a constant temperature workshop, characterized in that, include: A solar power supply module, comprising multiple modular photovoltaic-thermal integrated sub-modules that can be assembled and combined, wherein the photovoltaic-thermal integrated sub-modules synchronously convert solar energy into electrical energy and thermal energy; An adsorption-type air treatment module includes at least one adsorption bed sub-module, which is filled with a porous gel adsorption material. The adsorption bed module includes an adsorption state and a desorption state. In the adsorption state, the adsorption bed module captures water vapor in the air flowing through it. In the desorption state, the adsorption bed module is heated by the heat energy provided by the solar power module, causing the captured water vapor to desorb and form a high-temperature and high-humidity airflow. A condensation water extraction module receives the high-temperature and high-humidity airflow and cools it so that the water vapor in it condenses into liquid water. The condensation water extraction module includes a water storage component for storing the liquid water. A humidity control module, comprising a dehumidification submodule and a humidification submodule, wherein the dehumidification submodule uses the adsorption bed submodule in the adsorption state to dehumidify the air in the constant temperature workshop, and the humidification submodule uses liquid water in the water storage component to humidify the air in the constant temperature workshop; The intelligent control module acquires the target humidity value and real-time humidity value of the constant temperature workshop, as well as the real-time output power of the solar power module and the water storage capacity of the water storage component. Based on the deviation between the real-time humidity value and the target humidity value, the real-time output power, and the water storage capacity, the intelligent control module dynamically schedules the adsorption bed submodule to switch between the adsorption state and the desorption state, and coordinates the operation of the dehumidification submodule and the humidification submodule.

2. The constant temperature workshop humidity control system according to claim 1, characterized in that, The photovoltaic-thermal integrated submodule includes a cover plate, photovoltaic cell layers, heat-absorbing coating, heat collector plate, and back plate stacked sequentially. A thermally conductive medium is filled between the photovoltaic cell layers and the heat collector plate. The heat collector plate has flow channels and circulates a working fluid to absorb the heat from the photovoltaic cell layers. The solar power supply module also includes a hybrid energy storage submodule composed of lithium battery packs and supercapacitor packs and an energy distribution submodule. The energy distribution submodule includes multiple output interfaces. The photovoltaic-thermal integrated submodules are connected through standardized interfaces, which include electrical interfaces, working fluid interfaces, and communication interfaces.

3. The humidity control and processing system for a constant temperature workshop according to claim 1, characterized in that, The porous gel adsorbent material is a multi-level porous composite adsorbent material obtained by solution polymerization and freeze-drying using at least one of acrylamide, acrylic acid and chitosan as monomers, methylenebisacrylamide as crosslinking agent, sodium bicarbonate as pore-forming agent, and doped with nanomaterials and metal-organic framework materials.

4. The humidity control and processing system for a constant temperature workshop according to claim 1, characterized in that, The adsorption bed submodule includes a shell, a heating tube disposed inside the shell, a regulating air valve and a flow equalization plate disposed at the air inlet, and a temperature and humidity sensor disposed at the air outlet. The heating tube is connected to the photothermal working fluid circuit of the solar power module or is heated by an electric heating element. Multiple adsorption bed submodules are arranged in parallel and can be put into operation or taken out of operation independently.

5. The humidity control and processing system for a constant temperature workshop according to claim 1, characterized in that, The condensation water extraction module includes a condenser, a gas-liquid separator, a water purification component, and a water storage tank. The refrigerant side of the condenser is connected to the compressor refrigeration cycle, and the air side is connected to the air outlet of the adsorption bed submodule in the desorption state. The water purification component includes a filter, an adsorber, and a sterilizer arranged sequentially along the water flow direction. The water storage tank has a built-in liquid level sensor.

6. The humidity control and processing system for a constant temperature workshop according to claim 1, characterized in that, The dehumidification submodule includes a return air fan that introduces the workshop return air into the adsorption bed submodule; the humidification submodule includes an atomizer and a water supply pump connected to the atomizer, the inlet of the water supply pump being connected to the water storage component; the humidity control module also includes a distributed temperature and humidity sensor network.

7. The humidity control and processing system for a constant temperature workshop according to claim 1, characterized in that, The intelligent control module includes: The data acquisition submodule collects the electrical parameters, thermal parameters, and energy storage status of the solar power supply module; the temperature, humidity, pressure difference, and heating power at the inlet and outlet of the adsorption bed submodule; the condensation temperature, water level, and water quality of the condensation water extraction module; the temperature and humidity at various measuring points in the constant temperature workshop; and the irradiance and ambient temperature and humidity at the outdoor meteorological station. The state estimation submodule integrates the data collected by the data acquisition submodule to estimate the remaining adsorption capacity and desorption completion of the porous gel adsorption material in the adsorption bed submodule in real time. The optimization decision submodule uses humidity control accuracy, solar energy contribution rate and energy consumption as objective functions, and the switching time between adsorption and desorption states, heating temperature setpoint, condensation temperature setpoint, humidification amount and energy storage charging and discharging power as decision variables to solve the control sequence. The execution drive submodule converts the control sequence into signals and outputs them to the corresponding actuators.

8. The constant temperature workshop humidity control system according to claim 7, characterized in that, The optimization decision submodule determines the system operation mode as dehumidification priority mode, humidification priority mode, or water intake priority mode based on the deviation between the real-time humidity value and the target humidity value, the water storage capacity of the water storage component, and the real-time output power of the solar power module. In the dehumidification priority mode, the optimization decision submodule increases the number of adsorption bed submodules in the adsorption state; In the humidification priority mode, the optimization decision submodule activates the humidification submodule when the water storage volume of the water storage component is higher than a first threshold, and switches to the water intake priority mode when the water storage volume is lower than a second threshold. In the water intake priority mode, the optimization decision submodule prioritizes switching the adsorption bed submodule that is in a saturated adsorption state to a desorption state.

9. The constant temperature workshop humidity control system according to claim 7, characterized in that, The intelligent control module includes a multi-adsorption bed collaborative scheduling submodule. This submodule predicts changes in solar irradiance intensity and humidity load in the constant-temperature workshop within a set time period, and generates a time-series allocation scheme for the adsorption state, desorption state, and cooling standby state of the adsorption bed submodules. This ensures that the number of adsorption bed submodules in the adsorption state is not less than a preset lower limit, and that the desorption period of the adsorption bed submodules in the desorption state overlaps with the peak solar irradiance period.

10. The humidity control and processing system for a constant temperature workshop according to claim 1, characterized in that, The intelligent control module also includes a fault diagnosis submodule, which identifies the fault type and fault location based on the collected data. For non-critical faults, it automatically switches to redundant sensors or redundant actuators, and for critical faults, it isolates the fault submodule and activates the backup submodule.

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