120 results about "Environmental regulation" patented technology

An autonomous environmental regulation and behavioral monitoring system is disclosed, configured to adapt temperature, lighting, and acoustic conditions based on real-time emotional and physiological data. The system includes a dual-redundant central processor, hierarchical communication networks, multi-angle visual acquisition units, infrared thermometers, and modular environmental subsystems. It detects posture, gestures, facial expressions, and thermal signals to classify user states and apply individualized airflow, light, and sound modulation without relying on external internet connectivity. The system also monitors connected appliances using voltage-based pressure analysis to forecast device degradation. With integrated gesture recognition, privacy-preserving data handling, and predictive adaptation, the invention enables multi-user personalization, long-term learning, and uninterrupted operation within residential, administrative, or healthcare infrastructures.

The invention relates to the technical field of intelligent archival repository management, and discloses an intelligent archival repository management method and system based on multiple modules. The method comprises the following steps: acquiring environment monitoring data such as storehouse temperature and humidity distribution and air quality indexes, and generating an environment state feature vector through feature extraction; inputting the data into an archive storage risk assessment model, outputting a risk level, and generating an environment regulation and control instruction set containing temperature and humidity regulation and air purification parameters according to the risk level; monitoring access request data containing file numbers and access timestamps in real time, and constructing an access frequency matrix to calculate file thermodynamic diagram distribution; a warehouse partition regulation strategy is generated by combining the thermodynamic diagram and the regulation instruction set, and the high-frequency access file is dynamically migrated to an environment stable area; incremental learning is adopted periodically to update model parameters, and risk prediction precision is optimized. The method can improve the intelligent degree of warehouse management and guarantee the safety of file storage.

The invention relates to the technical field of environment regulation and control, and discloses a multi-parameter environment closed-loop regulation and control method and system based on an FPGA, and the method comprises the steps: unifying monitoring data to a same space coordinate system through the FPGA according to the monitoring data collected by a sensor network disposed in an environment, analyzing the coupling relation between different parameter data, and obtaining fusion data; based on the fusion data, analyzing the environment crop state through a preset crop state recognition model, simulating the influence condition of different parameter adjustment processes on the crop state, and generating a first control instruction set; analyzing the degree of deviation between the environmental parameters in the fused data and a preset target value, calculating the priority of each control instruction in the first control instruction set, and merging and optimizing the control instructions; the environmental parameters are corrected; according to the application, the regulation and control efficiency can be improved, the environmental disturbance and the crop demand change can be quickly responded through FPGA parallel processing, and the environmental regulation and control efficiency and the regulation and control effect are improved.

The invention relates to the crossing field of agricultural intelligent algorithms and intelligent equipment technologies, in particular to an environment regulation and control model algorithm and algorithm model platform fusing crop physiology. According to the model algorithm, through four-step calculation of spatio-temporal heterogeneity adaptation, multi-source data dynamic coupling, stress self-adaptive adjustment and self-learning iterative optimization, a partition precise regulation and control decision value is generated; the algorithm model platform comprises a data acquisition layer (a partition sensor and a multi-source interface), a feature processing layer (a three-dimensional feature library and data preprocessing), a model algorithm layer (deploying the model algorithm) and a platform application layer (partition regulation and control and closed loop feedback), and full-link cooperation of algorithm calculation, platform execution, effect feedback and algorithm iteration is achieved. The crop yield is increased by 15-20%, water resources are saved by 25-30%, and the method is suitable for multi-crop facility agriculture scenes.

The invention discloses a light-temperature coupling-oriented eucommia ulmoides seedling environment precise regulation and control method and system, and belongs to the technical field of agricultural facility seedling culture, and the method comprises the following steps: obtaining real-time environment parameters in a greenhouse, and generating an environment data set; establishing a light-temperature coupling knowledge base based on the matching relationship between the illumination intensity and the temperature in different growth stages; according to the real-time illumination intensity value in the environment data set and the light-temperature coupling knowledge base, calculating a currently required compensation temperature value, and generating a temperature regulation and control instruction in combination with an actual temperature value in the environment data set; generating an illumination compensation strategy according to the temperature regulation and control instruction and a seedling growth stage identifier in the environment data set; and executing the temperature regulation and control instruction and the illumination compensation strategy, and outputting a linkage control signal to preset environment regulation and control equipment. According to the method, a light temperature compensation algorithm adaptive to the growth stage and a humidity feedback correction mechanism are adopted, dynamic cooperative regulation and control of the greenhouse environment can be achieved, and the seedling growing quality and the resource utilization efficiency are remarkably improved.

The invention relates to the technical field of intelligent control, and discloses a heat pump system regulation and control method and device based on scene information, and the method comprises the steps: determining system information corresponding to a heat pump system, scene information of a target area, and an environment regulation demand corresponding to the target area; the scene information comprises a scene type and scene use information; collecting real-time environment parameters of the target area; determining a radiation convection analysis result corresponding to the target area according to the system information; according to the real-time environment parameters, the radiation convection analysis result, the scene information and the environment adjustment requirement, regulation and control parameters corresponding to the heat pump system are generated; and according to the regulation and control parameters, the heat pump system is controlled to execute indoor environment regulation operation. Therefore, by implementing the method, the change characteristics of the indoor area can be dynamically analyzed, so that the control flexibility and the control accuracy of the heat pump system are improved, and the somatosensory comfort of a user is improved.

The invention provides an intelligent cabin environment adjusting method and system based on solar term perception and a vehicle, and relates to the technical field of intelligent cabins, and the method can dynamically adjust the decision weight according to the matching degree of solar terms and actual weather, generates a target contextual model which fits the natural rhythm and gives consideration to the actual conditions, and improves the user experience. On the basis, different areas in the cabin are subjected to partition cooperative adjustment of multiple elements such as temperature, humidity, wind, light and fragrance, and the problems that a traditional system is single in adjustment and lacks context awareness and individuation are effectively solved; meanwhile, by continuously recording and analyzing user feedback behaviors, the system can adaptively optimize a weight allocation strategy and contextual model parameters, and continuously improve the accuracy of environment adjustment and the user satisfaction, thereby effectively enhancing the comfort, culture affinity and intelligent level of the intelligent cockpit.

The invention relates to the technical field of livestock and poultry breeding epidemic prevention, and discloses a biological safety system suitable for a breeding community, comprising: a space partition and hardware facility module for constructing a physical framework; the four dynamic line closed-loop management modules are used for executing a one-way flow standard operation instruction; the environment pressure gradient regulation and control module is used for maintaining stable air pressure gradients in areas with high safety levels to low safety levels, the integrated monitoring module is used for acquiring real-time data through a sensor network, and the biological safety state interlocking management and control module decides according to the real-time data, automatically issues instructions and regulates and controls hardware facilities and the environment pressure gradients in a linkage mode, so that intelligent active defense is achieved. Spatial partition, hardware facilities, dynamic line processes, environment regulation and control and intelligent interlocking management and control are systematically integrated, a set of multi-level and closed-loop comprehensive biological security defense system is constructed, and the defect of systematic prevention and control vulnerabilities in the prior art is overcome.

This invention discloses a device and method for coordinated control of temperature and humidity in an oxygen chamber, belonging to the field of environmental regulation technology. The device includes a shell, a humidification module, a wet curtain, a drive module, and a floating component. The shell has a first air outlet, and a fan is fixedly installed inside the shell. The wet curtain is located between the fan and the first air outlet. The humidification module delivers water to the top of the wet curtain through a water supply channel to ensure that the wet curtain remains moist. External air enters the system through an air inlet, passes through a filter to remove impurities, and is guided by the fan through the wet curtain. Heat and humidity exchange occur when the air passes through the wet curtain, water evaporates into the air, and heat is absorbed, lowering the air temperature and increasing the humidity. The floating component moves with the rise of the water level, causing the drive module to change position, reducing the amount of water sprayed, and preventing over-humidification.

The invention discloses an operating room purification environment self-adaptive regulation and control method and system based on time sequence prediction, and relates to the technical field of air conditioning. According to the operating room purification environment self-adaptive regulation and control method based on time sequence prediction, the environment state of an operating room and purification air conditioner operation time sequence data are continuously obtained in a set sliding regulation and control period, and a collaborative feature set is generated through associated feature mining; extracting a predicted collaborative feature set through a time sequence prediction model in combination with historical collaborative features; performing security domain definition based on the operation state set and a preset mapping relation library, and determining a purification control domain; according to the method, the operating room is subjected to environment regulation and control through the prediction optimization control set, so that the accuracy of environment regulation and control is improved, the problem of regulation and control lag caused by real-time fluctuation of the environment is avoided, operation parameters of a purification air conditioner are matched in advance, and then the cleanliness of the operating environment is guaranteed.

The invention discloses an intelligent sheep house environment control method and system, and the method comprises the steps: collecting the environment parameters in a sheep house in real time based on a five-dimensional environment sensing array, including temperature, humidity, ammonia concentration, illumination intensity and noise level; performing real-time quantification on the behavior characteristics of the sheep flock by adopting a sheep flock behavior recognition method based on deep learning; constructing a dynamic weight control model based on an LSTM neural network and a reinforcement learning mechanism, and inputting the collected environmental parameters and the quantized behavior characteristics into the dynamic weight control model to realize dynamic coupling of the environmental parameters and the behavior characteristics; and according to an output result of the dynamic weight control model, generating an optimal environment regulation and control instruction, and sending the optimal environment regulation and control instruction to execution equipment to realize intelligent and accurate regulation and control of the sheep house environment. According to the method, the environment regulation response speed can be increased, the lamb survival rate is increased, and the sheep flock health level and production efficiency are remarkably improved.

Provided is an alloy powder-containing composition that meets environmental limitations, operates at high temperatures, and has excellent mounting properties and bonding reliability. This alloy powder-containing composition contains an alloy powder having an AgSi eutectic structure, a silver (Ag) powder, and an organic material. Furthermore, in the present invention, the content of silver (Ag) is preferably 15-97.6 mass% with respect to the total amount of the alloy powder, the content of the silver (Ag) powder is preferably 5-2000 parts by mass with respect to 100 parts by mass of the alloy powder, and the content of silver is preferably 20-99.9 mass% with respect to the total amount of the alloy powder and the silver (Ag) powder.

The application discloses a kind of nano-modified polyformaldehyde plastic particles, contain 60-80% polyformaldehyde resin, 5-15% by boron nitride nanosheet, metal organic framework, nanocellulose Composition of nano composite filler, and environmental protection auxiliary agent and 0.5-2% MXene two-dimensional nanometer material by weight percentage.The present application is to provide a kind of nano-modified polyformaldehyde plastic particles, by the compounding of nanometer material and special preparation process, solve the single performance of traditional polyformaldehyde material, environmental unfriendliness is poor and the problems such as difficult dispersion of nano filler, realize the improvement of polyformaldehyde material in heat conduction, flame retardant, antistatic, adsorption and so on Many aspects of performance, while meeting environmental regulations requirements.

The utility model discloses an ear band storage box for a mask, and relates to the technical field of ear band storage boxes, the ear band storage box comprises an ear band storage box body, a movable plate and a supporting block, four corners of the bottom of the ear band storage box body are fixedly connected with the top of the supporting block; and the rear side of the bottom of the movable plate and the rear side of the top of the ear belt storage box body are movably installed through hinges, and a dehumidifying and drying assembly is arranged on the outer side of the inner wall of the ear belt storage box body. The dehumidifying and drying assembly is matched with the thermal insulation protection assembly to stably and conveniently dehumidify and insulate the interior of the ear belt storage box body, and the problems that an existing ear belt storage box does not have an environment adjusting function in the using process, the temperature and humidity in the box cannot be controlled, and an environment beneficial to breeding of microorganisms such as bacteria and molds is easily formed are solved. The problems that microorganisms are attached to the ear bands, so that the ear bands generate peculiar smell, the health of a user is possibly threatened, and the use safety of the ear band storage box is reduced are solved.

The invention provides a planting square cabin management method and system based on the Internet of Things, relates to the field of planting square cabin management, and solves the technical problem that in the prior art, environment adjustment in a planting square cabin is based on simple control logic of a fixed threshold value or a preset rule, so that excessive adjustment or insufficient adjustment frequently occurs in the adjustment process. The method comprises the following steps: calculating an environmental health index in a shelter based on preprocessed environmental data and a standard numerical value required by the current growth stage of mushrooms; if the environmental health index is greater than a preset index, determining that the environment is abnormal, acquiring operation information of environmental adjustment equipment, analyzing a service life index and an energy consumption index of the environmental adjustment equipment, and analyzing an adjustment priority index of each environmental adjustment equipment; calculating the adjusting quantity of the environment adjusting equipment; and generating an adjustment instruction based on the adjustment priority index and the corresponding adjustment amount, and issuing the adjustment instruction to the corresponding environment adjustment equipment. The method is used in the shelter planting management process.

The invention provides a multi-mode collaborative freezing and fresh-keeping method and system based on aquatic product type identification, and the method comprises the steps: collecting multi-source data of aquatic products in a sealed fresh-keeping cabin, recognizing the types of the aquatic products based on a deep learning algorithm according to the multi-source data, and generating a fresh-keeping control strategy containing environmental parameters; and regulating and controlling environmental parameters in the sealed fresh-keeping cabin according to the fresh-keeping control strategy. The system is composed of a sealed fresh-keeping cabin, a multi-source sensing module, an intelligent control module and a multi-mode execution module, and all the modules work cooperatively to achieve full-process automation from data collection to environment regulation and control. According to the method, through the closed-loop design of multi-source data acquisition, intelligent identification and dynamic regulation and control, the precision and intelligence of the fresh-keeping process are realized. The fresh-keeping effect is remarkably improved, the control precision is optimized, the energy consumption is reduced, and the user experience is improved.

The invention discloses a low-carbon intelligent transport device special for live poultry and an environment regulation and control method thereof.The transport device is provided with a main control module, a vortex tube refrigerating and heating module, a humidity regulation and control module and a ventilation module, and the main control module comprises a data acquisition module, a ventilation quantity calculation module and a ventilation quantity control module; the ventilation quantity calculation module dynamically controls the ventilation quantity in real time through the ventilation quantity dynamic control model based on the live poultry metabolic rate in combination with the environment temperature, the live poultry number, the live poultry average weight and the live poultry variety, the ventilation quality in the live poultry transportation process is effectively improved, and the survival rate and the robust rate in the live poultry transportation process are increased.

The present application belongs to the technical field of intelligent regulation, and discloses an intelligent control cabinet regulation method and system based on environmental regulation, comprising: obtaining environmental parameter regions and corresponding three-dimensional environmental data; obtaining environmental regulation sensitivity and environmental stability through parameter coupling analysis and air flow state distribution analysis; evaluating air flow interaction based on environmental stability to obtain air flow balance strength and regulation prediction index; constructing an adaptive control framework to form a dynamic fusion control strategy; constructing an anomaly detection model to analyze environmental parameter abnormal fluctuations and generate an abnormal response strategy; combining the dynamic fusion control strategy and the abnormal response strategy to perform parameter optimization and energy efficiency adjustment, and generating an optimal environmental regulation scheme; finally, executing the scheme and performing real-time monitoring and feedback adjustment; the present application realizes precise environmental regulation of an intelligent control cabinet.

This invention relates to the field of environmental control technology, and discloses an AI-based predictive adaptive environmental regulation method and system for prefabricated cabins. The method includes calculating the equivalent temperature and humidity within the prefabricated cabin; acquiring predicted temperature and humidity sequences over a time range t; determining the start-up and shutdown timing of the equipment based on a comparison of the predicted temperature and humidity sequences with environmental parameter limits; and continuing to acquire predicted data after the equipment completes the start-up and shutdown commands. This invention avoids conflicting operation and ineffective start-up and shutdown by constructing a dynamic control mechanism for the equipment; simultaneously, it achieves predictive proactive control to prevent environmental parameters within the prefabricated cabin from exceeding safety thresholds. Combined with dual operating modes, it flexibly switches control strategies according to the type of equipment within the prefabricated cabin, effectively reducing environmental fluctuations and suppressing condensation within the cabin, thereby reducing the equipment failure rate.

The invention relates to a seawater stichopus japonicus culture pond environment regulation and control method based on a bottom nourishing device and a mixed microbial agent and application. According to the method, the seawater stichopus japonicus culture pond is subjected to bottom nourishing operation, meanwhile, mixed microbial agents of rhodobacter sphaeroides, phosphorus phagocytosis bacillus, moraxella alpha and enterococcus faecalis are splashed, the water quality of the stichopus japonicus culture pond is improved, meanwhile, the immune function of stichopus japonicus is enhanced, and remarkable environmental and economic benefits are achieved.

The application discloses a multi-factor coupling ganoderma environmental digital twin regulation method for high-yield demand, and particularly relates to the intelligent cultivation technology field of edible fungi, and is used for solving the problems of device action oscillation and hidden physiological stress caused by the physiological response hysteresis of the existing environmental regulation system; by constructing a ganoderma growth digital twin, real-time generation of carbon dioxide concentration and light intensity prediction values is realized, combined with mycelium respiration entropy matching degree analysis and active oxygen accumulation curve activated oxidation stress markers; when the matching degree exceeds the threshold value and oxidation stress exists, a metabolic overload signal is generated, and it is judged whether the carbon dioxide prediction value is in the physiological lag interval; delay compensation and metabolic overload inhibition coefficient adjustment are performed on the carbon dioxide prediction value in the lag interval; finally, the compensated carbon dioxide value and the light prediction value are input into the environmental factor cooperative rule library to generate a ventilation opening degree and light supplement power instruction to drive the execution equipment, thereby ensuring the stability of the fruit body morphological development and the synthesis efficiency of active ingredients.

The invention relates to the technical field of image recognition, in particular to an environment control method based on watermark egg visual monitoring, and the method comprises the steps: obtaining a light-transmitting image at each moment, and recognizing a watermark region; obtaining the total projection area of the egg, and calculating the watermark area proportion at each moment; constructing a neighborhood window to determine the spatial gradient modulus length, and calculating the normalized permeability of the watermark region at the current moment; obtaining the edge of the watermark area, segmenting the edge into a plurality of arc segments, and determining a non-uniform coefficient at each moment; and predicting a saturation risk after a set time length, and generating an environmental regulation increment according to the saturation risk and the time change rate of the normalized permeability to carry out environmental regulation control. According to the method, the eggshell moisture permeation process is represented through the multi-dimensional visual indexes, the mapping relation from biological phenotype evolution to environmental regulation is established in combination with the prediction model, the hysteresis probability of environmental regulation is effectively reduced, and the accuracy of poultry house microclimate regulation is improved.

This invention relates to the field of image recognition technology, and more particularly to an environmental control method based on visual monitoring of watermarked eggs. The method includes the following steps: acquiring translucent images at various times and identifying the watermark region; acquiring the total projected area of ​​the egg and calculating the proportion of the watermark area at each time; constructing a neighborhood window to determine the spatial gradient modulus and calculating the normalized permeability of the watermark region at the current time; acquiring the edge of the watermark region and dividing it into several arc segments, determining the non-uniformity coefficient at each time; predicting the saturation risk after a set time period, and generating an environmental regulation increment based on the saturation risk and the time change rate of the normalized permeability for environmental regulation control. This invention characterizes the eggshell moisture permeation process through multidimensional visual indicators and establishes a mapping relationship from biological phenotype evolution to environmental regulation by combining a prediction model, effectively reducing the lag probability of environmental regulation and improving the accuracy of poultry house microclimate regulation.

The invention discloses intelligent ventilation and temperature and humidity control equipment for an agricultural livestock place, and relates to the technical field of agricultural livestock environment regulation and control, in particular to the intelligent ventilation and temperature and humidity control equipment for the agricultural livestock place, which comprises a shell, a touch panel, a switch and an air inlet pipe are arranged at the front end of the shell, a pull-out water tank and a charging socket are arranged at the side end of the shell, and an axial flow exhaust fan is arranged at the rear end of the shell; an air supply pipeline, a temperature and humidity composite sensor, a microcontroller and the like are arranged at the inner end. A filter screen is arranged in the air supply pipeline to intercept dust and impurities, and an outer-end ceramic heater can heat airflow to adjust temperature; the temperature and humidity composite sensor is close to the air inlet pipe to detect temperature and humidity, and the microcontroller sends an instruction to coordinate operation of components according to set parameters; the ultrasonic humidifier is connected with the pull-out type water tank, and atomized water is used for humidifying. The equipment can realize intelligent regulation and control of ventilation and temperature and humidity, is adaptive to environmental requirements of livestock places, and is reasonable in structure and high in practicability.

The invention relates to the technical field of moisture power generation, and discloses an environment regulation and control system and method based on damp-heat self-adaption, and the system comprises a first electrode layer, a functional material layer, a second electrode layer, a power generation assembly, and a liquid collection assembly. The functional material layer is used for directionally migrating ions in the functional material layer in the process of absorbing or releasing water vapor so as to form a potential difference between the first electrode layer and the second electrode layer, the power generation assembly is electrically connected with the first electrode layer and the second electrode layer and is used for outputting stable voltage by utilizing the potential difference, and the liquid collection assembly comprises a condensation plate and a liquid storage unit. The condensing plate is used for condensing water vapor to form liquid and storing the liquid in the liquid storage unit, and the liquid storage unit is connected with the functional material layer and used for supplementing the liquid to the functional material layer. According to the environment regulation and control system and method based on damp-heat self-adaption, all-weather self-adaption cooling, power generation and dehumidification can be achieved, so that energy is saved for electronic equipment, and a good operation environment is provided.

The invention discloses a concrete super-hydrophobic protective coating which comprises the following components in percentage by mass: 5-10wt% of amine-free porous material, 5-10wt% of inorganic filler and the balance of water. 6-12wt% of PVA (Polyvinyl Alcohol) is coated with 0.4 wt% to 0.6 wt% of an additive; 8 to 15 weight percent of octyl triethoxy silane; 0.6 to 2.2 wt% of nanometer bentonite; 1 to 3 wt% of sodium carboxymethyl cellulose; and the balance deionized water. The invention further provides a corresponding preparation method and a protection method. Carbonization reaction is carried out in the atmosphere, about 5.3 g of carbon can be fixed in each square meter of the coating, and a negative carbon technical path is realized; fluorine-containing substances, amine template agents and ethyl alcohol are not needed in the whole process, water is adopted as a main solvent, n-butyl alcohol can be efficiently recycled, and green chemical principles and environmental protection laws and regulations are met.

The invention discloses an intelligent environment regulation and health early warning integrated device for a livestock and poultry house. The device comprises a detection module, a regulation module, a health early warning module, a control unit and a communication module, the detection module is used for collecting environmental parameters in a livestock and poultry house and livestock and poultry health related parameters, the regulation and control module is used for executing environmental regulation actions, and the health early warning module is used for analyzing livestock and poultry health states and generating early warning signals. The control unit is in signal connection with the detection module, the regulation and control module, the health early warning module and the communication module, the green, energy-saving and sustainable design concepts are embodied, the energy supply module adopts a hybrid power supply mode of solar photovoltaic and mains supply complementation, the operation energy consumption of the equipment and the dependence on traditional power are effectively reduced, and the energy utilization rate of the equipment is improved. The national industrial policy of energy conservation and emission reduction is met.

The invention discloses an intelligent question and answer method and system for enterprise safety and environmental protection management, and belongs to the technical field of intelligent question and answer. The method comprises the following steps: acquiring a security and environmental protection problem asked by a user, analyzing the security and environmental protection problem asked by the user by using a security and environmental protection semantic analysis model to obtain an analysis result, and judging whether the security and environmental protection problem asked by the current user belongs to the field of security and environmental protection systems or not according to the analysis result; if the method belongs to the field of security and environmental protection systems, rewriting a security and environmental protection problem proposed by a user by using a statement rewriting model to obtain an instruction statement; searching a rule unit in a security and environmental protection knowledge base based on the instruction statement to obtain a search result; and the recall summary model extracts content directly related to the user intention from the search result, and generates a safety and environmental protection answer. According to the method, the corresponding safety and environmental protection result can be generated in time according to the questions of the employees, the operation risk increase is reduced, and the safety and environmental protection system awareness rate of the employees is improved.

The invention relates to the field of environment regulation and control, and discloses an air purification system and method, computer equipment and a readable storage medium. The system comprises a visual sensor used for collecting image information of doors and windows; the AI identification module is used for processing the image information collected by the visual sensor and identifying the opening and closing states of doors and windows to obtain door and window state identification results; the air volume control module is used for generating a control instruction according to the door and window state recognition result output by the AI recognition module and sending the control instruction to the multidirectional air outlet module, and the control instruction is used for controlling the air outlet direction and the air outlet height of the multidirectional air outlet module; and the multidirectional air outlet module is used for outputting purified clean air according to the control instruction. By means of the closed-loop design of the purifier body, the visual sensor, the AI recognition module, the air volume control module and the multi-direction air outlet module, the purification efficiency in the multi-communication room scene is remarkably improved, energy is saved, and the function blank of an existing air purifier in the scene is filled.

The invention relates to the technical field of environment regulation and control, in particular to a plant root domain microclimate environment regulation and control method capable of adaptively regulating moisture and heat, which comprises the following steps: preparing a bionic microelectrode array capable of specifically sensing a root electric signal; constructing an electric signal-chemical signal conversion layer; printing a multi-channel bionic catheter network with a fractal structure and assembling a photo-thermal response micro-valve; and finally, integrating the intelligent microcapsule and the microbial system to form a functional module. According to the method, a signal is efficiently captured through a graphene-membrane protein interface, the signal is converted into a chemical instruction through a ferrocene / heme system, a liquid crystal valve is driven to regulate and control the water and gas flux in a fractal network, and the phase change heat storage and self-repairing functions of microcapsules are combined; an intelligent root domain environment system capable of dynamically responding to plant physiological needs, resisting environmental stress and promoting microbial symbiosis is constructed in a cooperative mode, and the water utilization efficiency and the ecological restoration effect are remarkably improved.