175 results about "Environment controlled" patented technology

The invention relates to the technical field of mine environment control, and discloses an intelligent environment monitoring and control method in a mine laneway. The method comprises the steps that a real-time environment parameter set of a mine laneway is collected, the set contains gas concentration data, dust concentration data and temperature and humidity data, and real-time capture of laneway environment multi-dimensional parameters is achieved; then, based on the collected real-time environment parameter set, calculating an environment safety evaluation index so as to scientifically and objectively reflect the roadway environment safety condition; a dynamic control strategy is generated according to the environmental safety evaluation indexes, and the strategy comprises ventilation equipment regulation and control parameters and early warning level parameters and can be flexibly adjusted according to environmental changes; and finally, the ventilation equipment regulation and control parameters are sent to a mine ventilation system, and roadway environment regulation and control are executed. According to the method, environmental parameters can be comprehensively monitored, safety risks can be accurately evaluated, ventilation equipment can be flexibly regulated and controlled, the early warning function can be perfected, energy waste can be reduced, labor intensity can be reduced, and underground operation safety and mining efficiency can be guaranteed.

The invention relates to the field of laboratory environment control, and discloses a laboratory environment abnormity self-adaptive linkage control system based on multi-source heterogeneous perception, which comprises the following steps: when any environment parameter exceeds a set safety threshold value, judging whether comprehensive environment abnormity exists in combination with the numerical value change trend of other types of sensors; based on historical monitoring data and real-time sensing data, constructing a multi-dimensional environment characteristic spectrum, and identifying internal association and change paths between abnormal signals; whether linkage control measures are needed or not is evaluated by analyzing the current anomaly type and the influence area; dynamically generating a linkage control path and a priority sequence according to a system topological structure and an equipment operation state, and determining equipment objects needing to be linked; and according to the generated control path and parameters, the operation state of related equipment is automatically adjusted, active response control for abnormity is completed, and an environment feedback result after control is monitored. The method has the advantage of improving the intelligent control level.

The invention discloses an indoor environment control method based on a two-stage function, and belongs to the field of indoor environment control, and the method comprises the steps: obtaining the division information and function demand data of a multifunctional region, including the temperature, humidity preference and personnel activity density of each region, carrying out the clustering processing of the demand data through a region function analysis module, and obtaining a region function analysis module; obtaining a microclimate regulation target parameter set of the multifunctional region; according to a parameter transition function set according to a boundary condition and an equipment regulation and control signal, a cooperative control strategy is adopted to optimize multi-region microclimate regulation, and a distributed optimization algorithm is adopted to perform iterative coordination on the regulation and control signal of each region to obtain a globally optimized environment control execution scheme; and the optimized control execution scheme is issued to execution equipment, including an air conditioner, a humidifier and a fan, of each area through an environment control execution module, a control signal is transmitted by adopting a real-time communication protocol, and a dynamic adjustment result of indoor environment parameters is obtained.

The invention discloses a method and a system for adjusting the internal environment of a mobile laboratory cabin, particularly relates to the technical field of environment control, and aims to solve the problem that the existing environment adjusting method adopts a fixed control target and cannot adapt to differentiated environment requirements in a multi-task scene of a mobile laboratory. The method comprises the following steps: acquiring a current task identifier of a mobile laboratory, identifying a corresponding experiment task execution stage, and dynamically generating an inter-parameter collaborative constraint relation matrix based on a fuzzy inference rule base; a regulation and control demand vector is generated by collecting a multi-dimensional environmental parameter measurement value and combining a pre-stored environmental parameter expected value; calculating a regulation and control conflict risk entropy value based on the matrix and the vector, and performing risk judgment; when the risk tolerance is exceeded, a roundabout regulation and control strategy is generated as an optimization guide parameter; finally, an environment control instruction is generated in a coordinated mode according to the optimized guiding parameters and sent to an executing mechanism; the dynamic adaptation of the environmental parameter regulation and control strategy and the experiment task is realized, and the precision and reliability of multi-parameter cooperative control are improved.

The invention provides a PID-based clean room intelligent regulation and control system and method. The system comprises a multi-parameter sensing module used for monitoring real-time environment data in a clean room in real time; the data processing module is used for preprocessing the real-time environment data to obtain monitoring data; the PID control module is used for determining the deviation between the monitoring data and a preset target parameter value, and determining an environment control signal based on the deviation; the environment regulation and control execution module is used for regulating the operation state of corresponding environment regulation equipment in the clean room according to the environment control signal; the multi-factor coupling prediction model is used for predicting a change trend of cleanliness according to the real-time environment data and historical environment data in the clean room, and optimizing control parameters of the PID control module based on the change trend; and the human-computer interaction interface is used for displaying real-time environment data, an operation state and a change trend, so that high-precision and high-stability dynamic cooperative control and intelligent prediction of various environment parameters in the clean room are realized.

The invention relates to the technical field of laboratory environment control, and discloses an environment parameter control method and system for a complex laboratory, and the method comprises the steps: obtaining environment index data, and carrying out the time sequence processing, and obtaining a real-time change trend; according to the real-time change trend, predicting a future offset by using a prediction model, and performing data fusion when the offset exceeds a threshold value to obtain an accurate environment state estimated value; according to the accurate environmental state estimation value, quantifying the mutual influence among the environmental indexes to obtain the mutual influence relationship of the environmental indexes; determining an environment index priority sequence according to the mutual influence relationship; generating and executing a control instruction according to the priority sequence; and when continuous deviation exists, the prediction model and the mutual influence relation are updated through feedback circulation. According to the method, the dynamic mutual influence among the environmental indexes can be quantified, and accurate and stable cooperative control of multiple parameters in a complex dynamic environment is realized.

The invention relates to the technical field of concrete curing, in particular to a concrete curing environment control system with intelligent temperature control and humidity adjustment functions. Comprising a data acquisition and storage unit; the regulation and control decision-making unit is used for calculating a deviation value between the current environment and a target maintenance condition through an improved sectional type PID (Proportion Integration Differentiation) regulation algorithm; a temperature and humidity execution unit; and a man-machine interaction unit. According to the invention, through the distributed air temperature and humidity sensor array and the embedded temperature sensor in the concrete, the air temperature and humidity of the curing space and the internal temperature data of the concrete are collected, and the initial setting stage, the final setting stage and the hardening stage are judged based on the internal temperature change rate and the internal surface temperature difference; the PID parameter adjustment interval corresponding to the concrete mark is called in combination with the stage, smooth parameter switching is achieved, in the concrete curing scene, the heat release rate and strength development requirements of different hydration stages can be accurately met, and the situation that a regulation and control strategy is disjointed with the actual concrete curing requirement is avoided.

The invention provides a warehouse management method for emergency materials of a smart station, and the method comprises the steps: obtaining a production date, an expiration date and an initial environment parameter through the analysis of an electronic tag of the emergency materials, and generating a dynamic temperature suitable range based on the nonlinear mapping of the expiration date and an initial temperature value; generating a dynamic humidity suitable range based on a correlation model of the production date and the initial humidity value; the overlap ratio of the remaining days of the shelf life and the temperature suitable range is calculated to serve as a first priority factor, a second dynamic allocation factor is generated in combination with the real-time load rate of the warehouse, and a material allocation matrix is generated through integration of a priority fusion algorithm; according to the method, target warehouse environment parameters are monitored in real time, a multi-stage adjustment strategy is triggered when the target warehouse environment parameters exceed a suitable range, a parameter self-learning engine is started when verification fails, intelligent regulation and optimization of the storage environment are achieved, and the emergency material storage safety and management efficiency are improved. The method can dynamically adapt to the material characteristic change, and optimizes the warehouse environment control precision.

The invention discloses an intelligent remote control system for bridge dehumidification, and the system comprises a physical environment layer, a sensing and execution layer, and a data communication and local control layer. The perception and execution layer comprises a perception layer and an execution layer, the perception layer comprises a plurality of sensors, the execution layer comprises a plurality of execution devices, and the plurality of sensors and the plurality of execution devices are arranged in the physical environment layer; the data communication and local control layer comprises a main controller, and the sensing layer and the execution layer are respectively connected with the main controller; the sensors collect environment parameter information in the physical environment layer and send the environment parameter information to the master controller, the master controller determines equipment operation information based on the environment parameter information and sends the equipment operation information to the execution equipment, and the execution equipment executes equipment operation based on the equipment operation information. And the environment parameter information of the physical environment layer is changed. The precision and efficiency of environment control can be improved, and the stability of the environment is guaranteed.

The invention discloses a device and a method for monitoring the integrity of a small-size metal sample in a high-pressure environment. An environment control system; the loading system comprises an electronic testing machine and a connecting rod, and the electronic testing machine loads a small-size metal sample installed in the high-pressure kettle in an electric insulation mode through the connecting rod to achieve stress or strain controlled loading; the electric signal measurement system comprises a constant current source, a current commutation device and a signal acquisition device. The constant current source applies a constant current to the small-size metal sample, the current reversing equipment switches the direction of the constant current at a preset frequency, and the signal acquisition equipment intermittently monitors voltage values at two ends of the small-size metal sample; and determining the integrity change of the small-size metal sample according to the change of the voltage value in the loading process. According to the invention, on-line monitoring of the integrity of the small-size metal sample is realized in a high-pressure environment.

The invention discloses a paint spraying room temperature and humidity control system based on the Internet of Things, and relates to the technical field of industrial coating environment control. Accurate perception and disturbance pre-judgment of gate opening and closing behaviors are realized by means of cooperation of a gate state detection module and an environment monitoring module; the predictive sub-module dynamically evaluates the disturbance risk level by analyzing the door opening and closing frequency, the duration time and the environment difference, so that the control action is converted into beforehand intervention from post-event compensation; humiture sudden change caused by opening of the gate is effectively inhibited, and the overshoot phenomenon caused by response delay is reduced; meanwhile, an Internet of Things architecture is introduced, and the decision dimension of the system is expanded; the cloud collaborative management module optimizes control parameter distribution by summarizing operation data of a plurality of spray booths and utilizing a consistency algorithm, so that mutual interference caused by coupling of ventilation systems of adjacent spray booths is avoided; and the local intelligent control unit can be automatically degraded to a cache strategy when the cloud is unavailable, so that the control continuity is ensured.

The invention relates to a production environment parameter control method and system based on industrial Internet of Things. The method comprises the following steps: collecting a first real-time production environment parameter and a subsequent planned production task, carrying out production environment parameter prediction, obtaining a prediction time sequence production environment parameter set, and determining a critical time point; acquiring response time characteristics of the environment controller, and determining a control time point for the critical time point; and at the control time point, collecting a second real-time production environment parameter of the target workshop, generating an environment control parameter of the environment controller, and controlling the environment controller to execute production environment control based on the environment control parameter. Intelligent prediction of production environment parameters, critical point identification and optimal opportunity intervention control are realized through an Internet of Things sensing network and a production plan, so that the stability of the production environment is ensured, and meanwhile, the energy consumption is reduced.

The invention relates to the technical field of environment control, in particular to a cold and heat source environment control method and device with an air purification function, and the method comprises the steps: collecting various parameters through a sensor network, and carrying out the data fusion based on a decision rule base to select a dominant working mode; corresponding air treatment operation is executed, and a composite energy-saving strategy including precooling optimization and phase change latent heat assistance is triggered under the refrigeration working condition; fuzzy control and machine learning are applied to optimize system output and predict load, and a decision rule base and algorithm parameters are updated through self-learning; air supply and exhaust power is controlled to maintain the negative pressure gradient of the key area, and an air path distribution mechanism is adjusted to organize a one-way air flow line; the device comprises an intelligent control module, a sensor group, a fresh air module, a purification module, a cold and heat source module, a bypass pipeline and an air path distribution mechanism. The problems that an existing system is poor in function collaboration, low in energy efficiency and unreasonable in airflow organization are solved, and intelligent decision making, deep energy saving and accurate environment control are achieved.

The invention discloses an environment control method, system and device for a mobile high-voltage chamber and a medium, and belongs to the technical field of high-voltage chamber environment regulation and control, and the method comprises the following steps: dividing the mobile high-voltage chamber into A analysis regions, and setting a temperature control intelligent agent in each analysis region; the method comprises the following steps: acquiring equipment state data of an analysis area through a temperature control intelligent body, and performing reconstruction analysis on the equipment state data by using an auto-encoder to obtain a state label; combining the temperature control intelligent agent with the state label, and calculating equipment state data to obtain a health state matrix; environment data of each analysis area is collected in real time, a microclimate situation map is formed in combination with the health state matrix, and an optimal partition temperature control instruction is generated; and adjusting the environment of each analysis area through the optimal partition temperature control instruction. The method has the beneficial effects that the mobile high-voltage chamber is divided into a plurality of analysis areas, and the temperature control intelligent agent is arranged in each area, so that the fundamental conversion from the traditional centralized control to the distributed cooperative control is realized.

The invention relates to the technical field of intelligent environment control, in particular to a temperature and humidity adjusting method and system based on intelligent ventilation control, and the method comprises the steps: confirming environment parameters, initializing an adjusting unit, obtaining a control instruction, standardizing a data set, generating a state report, optimizing an abnormal state, dynamically adjusting the environment parameters, and the like. The system comprises an environment data acquisition module, an environment data analysis module, an abnormal state processing module and a dynamic adjustment module. According to the application, dynamic perception and accurate regulation and control of environmental data are realized through the multi-mode sensor and the central control system, adaptability and anomaly recognition efficiency are improved by using the self-learning module and the anomaly detection module, and data security is guaranteed through an encrypted transmission protocol. The intelligent level and the energy-saving effect of environment adjustment can be effectively improved, and the system is suitable for temperature and humidity management in a complex environment.

The invention discloses a green building energy consumption adaptive regulation and control system based on dynamic environment parameters, and relates to the technical field of building energy consumption regulation and control, and the system comprises a multi-source environment sensing module which comprises a plurality of environment parameter collection devices which are arranged at different spatial positions of a building atrium area and are used for collecting various kinds of environment parameter information, generating a structured data packet; and the control analysis module is used for receiving the structured environment data packet, performing field analysis, generating a control intention set based on a preset atrium environment control rule, identifying an environment parameter conflict relationship caused by vertical spatial characteristics of the atrium, and outputting the control intention set with a conflict identifier. According to the invention, multi-point synchronous acquisition of parameters such as temperature, humidity, air quality and illumination intensity in a building atrium area is realized through environment parameter acquisition devices arranged at different spatial levels, and a comprehensive credibility weight is generated in combination with personnel quantity information to construct a structured data packet.

The invention discloses an indoor environment intelligent regulation and control system and method based on artificial intelligence, and relates to the field of equipment intelligent management, and the system comprises a sensing module which is used for sensing the environment parameters of each indoor region in real time, and feeding back the environment parameters, sensed in real time, of each indoor region to an identification module; the recognition module is used for receiving the environment parameters of all the indoor areas sensed by the sensing module, and recognizing an indoor environment regulation and control field based on comparison of the environment parameters of all the indoor areas and indoor target environment parameters; through real-time sensing of multi-region environment parameters and linkage of outdoor parameters, the sensing period can be dynamically adjusted to accurately capture environment changes, by means of regulation and control tendency value calculation and curve graph analysis, key regulation and control regions can be intelligently recognized, nearest equipment can be preferentially matched, regulation and control duration can be customized, and self-adaptive regulation and control logic is formed.

The invention relates to the technical field of green building environment monitoring, and discloses a green building environment monitoring system and method and a storage medium. The method comprises the steps that environmental parameters such as thermodynamic parameters, humidity parameters and gas concentration parameters are continuously collected through intelligent sensing nodes at multiple positions in a green building; the environment parameters are transmitted to a central processing unit, and the central processing unit combines a pre-stored environment standard value and a real-time data stream and generates an environment control command by adopting a self-adaptive learning algorithm; the environment execution device carries out an environment regulation activity according to the command; and monitoring and adjusting an activity execution sequence in real time, calculating a performance evaluation index, generating a normal or abnormal performance state signal, and automatically triggering an alarm process when the performance state signal is abnormal. According to the method, a complete environment management and control closed loop is constructed, all-directional dynamic monitoring and accurate adjustment of the environment of the green building are achieved, the core requirements for environment protection and comfort of the green building are met, and it is guaranteed that the internal environment of the building is in a proper state.

The invention discloses a monitoring and feedback pump and fan operation environment control method and system, and belongs to the technical field of power equipment monitoring, and the method comprises the steps: obtaining equipment operation parameters, and constructing an equipment state monitoring model; collecting vibration, noise and temperature data in real time through the equipment state monitoring model, identifying an equipment operation state, and determining an abnormal point; dynamically generating a vibration, noise and temperature control strategy model through the abnormal point data in combination with the environmental parameters, wherein the model is used for first control of the equipment operation state; dynamic characteristics of vibration, noise, and temperature are analyzed in conjunction with the first control. Through the monitoring model, abnormity is recognized in real time, the control strategy is dynamically generated, first control is rapidly implemented, and the equipment state is stabilized. And a multi-dimensional control threshold and a self-adaptive control algorithm are generated by quantizing vibration, noise and temperature coupling effects, so that the control precision and the intelligent level are improved.

The invention relates to the technical field of environment control and multi-system cooperative linkage of flight simulation training equipment, provides a full-motion simulator environment intelligent joint control method, system and equipment and a storage medium, and solves the problems of low intelligent level and poor emergency response efficiency of multi-system cooperative control. The method comprises the following steps: acquiring operation data and basic environment parameters of each subsystem in an environment joint control system in real time through a multi-dimensional environment sensing network, carrying out fusion and state analysis, and identifying security abnormity, smoke simulation triggering or subsystem faults; when the abnormal signal is recognized, generating a corresponding linkage control instruction by using a logic control algorithm, and issuing the instruction to external systems such as a power supply, a gallery bridge, a movement system, a fire alarm system and the like and an IOS teacher platform through a cross-system joint control mechanism; the system receives an external feedback signal in real time, dynamically adjusts a cooperative control strategy, and constructs a closed-loop intelligent joint control system. According to the invention, the intelligent level and the emergency response efficiency of multi-system cooperative control are improved.

The invention provides an electric energy meter assembly quality detection method and an electric energy meter production environment control system, and relates to the technical field of electric energy meters. The method comprises the following steps: for each detection area, according to environment parameters and environment context information collected by each environment parameter collection device in the detection area, determining adjustment information corresponding to each environment regulation and control device in the detection area, and sending a corresponding first control instruction to each environment regulation and control device. Performing image detection on the actual assembly image of at least one key assembly point location in the assembly process corresponding to each detection area, generating an assembly quality detection result, determining at least one target adjustment parameter item according to the assembly quality detection result, and adjusting the assembly quality of the assembly process by sending a second control instruction to the environment regulation and control equipment corresponding to each target adjustment parameter item. And adjusting the value of the target adjustment parameter item. According to the invention, through dual mechanisms of active adjustment and continuous quality inspection feedback, the stability, the yield and the intelligent level of the electric energy meter assembly process are comprehensively improved.

The invention relates to the technical field of cold chain transportation environment control, and discloses a temperature and humidity control system for cold chain transportation, and the system comprises an environment modeling module which is used for constructing a heat conduction model of a cold chain space based on a random field theory and a finite element method, and outputting a stiffness matrix containing random parameters; the self-adaptive sensing network module is used for receiving the characteristic information of the stiffness matrix, dynamically optimizing sensor distribution positions, collecting multi-node temperature and humidity data and adding space-time labels; and the distributed data processing module is used for receiving the sensing data. According to the invention, through random field theoretical modeling and parameter-state joint estimation, the temperature field prediction precision is significantly improved and the system environment adaptability is enhanced; a distributed sensing network architecture and a heterogeneous calculation acceleration technology are combined, so that the cooperative control with optimal energy efficiency is realized while millisecond-level real-time response is ensured, and the performance bottleneck of a traditional cold chain temperature control system is comprehensively broken through.

This invention provides a warehouse management method for emergency supplies in smart facilities. It obtains production date, shelf life, and initial environmental parameters by parsing electronic tags on emergency supplies. A dynamic suitable temperature range is generated based on a nonlinear mapping between shelf life and initial temperature value, and a dynamic suitable humidity range is generated based on a correlation model between production date and initial humidity value. The overlap between the remaining shelf life and the suitable temperature range is calculated as a first priority factor, combined with the real-time warehouse load rate to generate a second dynamic allocation factor. A priority fusion algorithm is used to integrate and generate a material allocation matrix. The target warehouse environmental parameters are monitored in real time. When parameters exceed the suitable range, a multi-level adjustment strategy is triggered. If verification fails, a parameter self-learning engine is activated, achieving intelligent control and optimization of the warehouse environment, improving the safety and management efficiency of emergency supplies storage. This application can dynamically adapt to changes in material characteristics and optimize the precision of warehouse environment control.

The invention relates to an energy storage system state adjusting method and device, an energy storage system and related products. The method comprises the following steps: acquiring environment data acquired by an environment sensor of at least one bin in the energy storage system, and acquiring an environment data threshold value of the bin; determining an environment control mode required by the bin according to the environment data of the bin and an environment data threshold value; determining at least one target unit in a plurality of working units of the environment adjusting equipment according to the environment control mode required by the bin, and controlling the environment control mode required by the target unit for the operation of the bin; different working units are used for operating different environment control modes; the energy storage system comprises environment adjusting equipment and a plurality of bins, the environment adjusting equipment comprises a plurality of working units, an environment sensor is arranged in each bin, and each bin is connected with the corresponding working unit through a pipeline; according to the method, the flexibility of adjusting different bin environment states in the energy storage system is improved.

The invention discloses a multi-temperature storage system (142). Comprising: a) a first closed zone (145) defining a first temperature zone, the first closed zone (145) comprising a grid frame structure (14), the grid frame structure (14) comprises a plurality of storage columns for storing stacks of a plurality of storage containers, a track system (15) arranged above the plurality of storage columns for guiding one or more robotic loading handling devices (30) on the grid frame structure; b) a second enclosed zone (146) defining a second temperature zone, the second enclosed zone configured to receive one or more load handling devices from the first enclosed zone; c) a cooling system configured to maintain a temperature in the first temperature zone lower than the second temperature zone; d) an environment-controlled closure zone (52) comprising a first opening (148a) and a second opening (148b) for connecting the first closure zone (145) and the second closure zone (146), respectively, such that the load handling device (30) can be moved between the first closure zone (145) and the second closure zone (146) via the environment-controlled closure zone (52), the first opening (148a) and the second opening (148b) can be independently opened and closed through a first door (150a) and a second door (150b) of the first opening (148a) and the second opening (148b) so as to selectively isolate the environment controlled closed area (52) from the first closed area (145) and / or the second closed area (146), d) an environment control unit configured to heat and / or dehumidify air in the environment controlled closed area; e) an environmental control system configured to control the environmental control unit so as to provide an environmental condition in the environmental controlled enclosure when it is expected to open the first door and / or the second door.

The present application relates to the technical field of building ventilation and environmental control, and provides a differential pressure gradient control method, device, equipment and storage medium for a multi-room laboratory, wherein current differential pressure data and interference source state signals of the room are acquired, and interference source state signals of other rooms are received through a communication connection; feedback air volume adjustment instructions are generated based on the differential pressure data through a feedback algorithm; interference source state signals of the room and / or other rooms are input into a feedforward model to generate feedforward air volume adjustment instructions; feedback and feedforward instructions are superimposed to generate total air volume adjustment instructions to adjust air supply or exhaust volume; and the interference source state signals of the room are sent to other rooms when an interference event is detected. Through feedforward-feedback composite control and inter-room collaborative early warning, the present application realizes rapid response, global stability and flexible deployment of the differential pressure gradient.

The invention is suitable for the technical field of storage regulation and control, and provides an irradiation storage environment regulation and control method based on multi-modal data fusion, and the method comprises the steps: obtaining a voice instruction inputted by a user and image data of a to-be-irradiated object, and determining a storage environment parameter value; collecting environment data of a storage area where the to-be-irradiated article is located and performing fusion estimation to obtain an environment state vector and an equipment state vector; performing environment state prediction based on the storage environment parameter value, the historical environment state vector and the historical equipment state vector to obtain an environment state prediction value and a comprehensive risk assessment value; and processing the current environment state vector, the current equipment state vector, the environment state prediction value, the comprehensive risk assessment value and the storage environment parameter value by using a deep reinforcement learning network to obtain control parameters of the environment control equipment. The perception-prediction-decision regulation and control mode designed by the invention can improve the regulation and control precision of the storage environment and reduce the influence of fluctuations such as temperature and humidity on the quality of articles to be irradiated.

The utility model discloses a micro-pressure oxygen-enriched cabin environment temperature regulation system, belonging to the technical field of special environment control equipment, which includes a control center module, a temperature sensing module, an actuator module and a safety protection module. The control center module is electrically connected to the temperature sensing module. The safety protection module is installed on the actuator module, and the safety protection module and the actuator module are respectively electrically connected to the control center module. Under the conditions of maintaining micro-pressure (usually 1.1 to 1.3 atmospheres) and oxygen enrichment (oxygen concentration of 21% to 30%), it ensures that the temperature inside the cabin is stable within a comfortable range, and the temperature can be set arbitrarily, usually 20 to 26 °C. It automatically controls the start and stop of the environment temperature regulation system according to the change of temperature, realizes the linkage control of the micro-pressure oxygen-enriched cabin and the environment temperature regulation system, and is convenient to operate and use.

The invention discloses an evaluation method of an environment control system. The evaluation method comprises the following steps: acquiring operation data, a first-dimension evaluation standard and a second-dimension evaluation standard of the environment control system; wherein the first dimension evaluation standard and the second dimension evaluation standard are evaluation standards of different dimensions corresponding to different subsystems or devices in the environment control system; performing first-dimension evaluation according to the first-dimension evaluation standard and the operation data to obtain a first-dimension score; performing second-dimension evaluation according to the second-dimension evaluation standard and the operation data to obtain a second-dimension score; and obtaining operation evaluation according to the first dimension score and the second dimension score. According to the evaluation method of the environment control system, evaluation of different dimensions corresponding to different subsystems or devices in the environment control system can be taken into consideration for multi-dimensional fault evaluation analysis, the problems of low-efficiency work, improper control functions and the like of the environment control system can be found in time, and therefore operation and maintenance work can be effectively guided according to operation evaluation.

This invention discloses an intelligent constant temperature and pressure control system for a cleanroom, comprising: a data acquisition module for deploying sensors to collect data and transmit it to a control unit; a data processing module for calibrating, filtering, and synchronizing data, and inputting it into an MLP network to extract features; a coupling prediction module for establishing a prediction model, calculating deviations, and generating a control error vector; a process control module for executing control strategies based on the error vector and determining equipment operating parameters; an execution control module for transmitting adjustment commands and driving synchronous adjustment of the equipment; and a closed-loop feedback module for collecting adjusted data and feeding it back to the control unit to achieve closed-loop regulation. This invention, through an intelligent control system, adjusts the temperature, pressure, and airflow of the cleanroom in real time, improving environmental control accuracy, energy efficiency, and stability, and ensuring the efficient and reliable operation of the experimental environment.