210 results about "Environment controlled" patented technology

The invention relates to the technical field of clean environment control, in particular to a dynamic pipe network and model predictive control clean room energy-saving pressure control method and system. Obtaining current pipe network impedance according to the pipe network impedance curve; calculating the current valve impedance according to the valve opening; calculating the total pressure drop of the current pipe network; constructing a fan dynamic model based on a fan similarity law to calculate the air volume at the next moment; a clean room pressure difference dynamic model is constructed, and the clean room pressure difference at the next moment is calculated; constructing a state space model and a target function of a model prediction controller; and when the pressure difference of the clean room is unstable, predicting the change trend of the pressure difference of the clean room in the next time period, and reversely solving the optimal fan frequency and valve opening of the discretization state space model by using the model prediction controller so as to achieve the lowest pipe network impedance and obtain the optimal fan frequency. The control precision and robustness of the pressure difference of the clean room are remarkably improved, and meanwhile energy consumption is reduced.

The invention relates to a method, device and equipment for controlling energy conservation of a clean room with an AI algorithm, and the method comprises the steps: collecting real-time environment parameters and equipment power consumption data through a temperature and humidity sensor, a cleanliness monitor, a dust falling particle catcher and an intelligent electric meter which are disposed in the clean room; associating the real-time environment parameters and the equipment electricity consumption data with production scheduling information to generate a dynamic regulation and control strategy; based on the real-time environment parameters, the equipment electricity consumption data, the dynamic regulation and control strategy and historical energy consumption data, a start-stop strategy of the fan filter unit is calculated through a deep learning model, and the start-stop strategy comprises a three-gear hierarchical regulation and control strategy for an alternating current type FFU. And the voltage and the rotating speed of the fan FFU are dynamically adjusted according to the direct current type FFU, so that intelligent linkage of production requirements and environment control is achieved, and the purposes of reducing cost and increasing efficiency are achieved.

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 discloses a ventilation control system and method based on the Internet of Things, and relates to the technical field of environment control and regulation, and the system comprises an environment data collection module, a central control module, a ventilation execution module, a communication module and a user interaction module. Temperature, humidity, carbon dioxide concentration and PM2.5 concentration are monitored in real time through the environment data acquisition module, the central control module calculates ventilation demand intensity according to a ventilation demand function, and the operation frequency and air volume output of ventilation equipment are dynamically adjusted through a formula, so that a set environment target value is met. The communication module is used for remotely transmitting data and instructions, and the user interaction module provides real-time data display and parameter adjustment functions. The system further comprises an energy-saving mode, and when the ventilation requirement is lower than a set threshold value, the operation frequency of the equipment is reduced so as to reduce energy consumption. In addition, the system has fault detection and alarm functions, and equipment abnormity is judged by monitoring operation parameters and a user is notified in time.

The invention discloses an intelligent clean air conditioner automatic control system and an integrated control method, and belongs to the technical field of clean environment control. In order to solve the problems of dispersed control, high energy consumption and insufficient dynamic response of an existing clean air conditioning system, an intelligent control algorithm and hardware facilities are integrated, a multi-parameter collaborative optimization model is constructed, and the temperature, humidity, airflow velocity and pressure of a clean workshop are accurately regulated and controlled in real time. The system comprises a central controller, a sensor network, an actuator and a control software module, an air valve and variable air volume equipment are dynamically adjusted through data fusion and a machine learning algorithm, wind resistance and turbulence are reduced, and airflow organization efficiency is optimized. Meanwhile, the system supports remote monitoring, fault self-diagnosis and self-adaptive energy-saving modes, and the operation stability and the energy efficiency ratio are remarkably improved. According to the integrated control method, the problems that a traditional system is insufficient in intelligence and high in maintenance cost are solved, and remarkable energy-saving benefits and environmental adaptability are achieved.

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 discloses a mine local ventilation and cooling system and method based on liquid air, and relates to the technical field of mine environment control, and the mine local ventilation and cooling system comprises an intelligent conveying pipeline, an intelligent multi-mode release device, an air purification and energy recovery device and a mine environment self-adaptive monitoring and control system; the intelligent conveying pipeline comprises a multi-layer composite heat insulation structure and an intelligent control module, and the intelligent control module comprises a temperature sensor, a pressure sensor and a flow sensor and is used for monitoring and adjusting the conveying state of liquid air in real time. The intelligent multi-mode release device comprises an intelligent release device with plasma vaporization, ultrasonic nanometer atomization and vortex synergistic functions, through the steps of the intelligent multi-mode release device, efficient conversion and accurate distribution of liquid air from storage to a working face are achieved, the airflow speed and direction are adjusted in real time according to mine environment parameters, and the intelligent multi-mode release device has the advantages of being simple in structure and convenient to use. The uniform distribution and local cooling effect of fresh air are ensured, and the air quality of an operation area is improved.

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 environment adjustment, and discloses a logistics storage environment adjustment method and system based on the Internet of Things. The method comprises the following steps: acquiring the types of articles in a warehouse, and setting the maximum value of the quality attribute of the articles as a reference attribute; searching an article environment mapping table according to the article types and the reference attributes, and setting the environment parameter corresponding to the maximum weight value as a target environment parameter; periodically collecting external temperature data, calculating internal and external temperature difference, calculating a first adjusting coefficient of the environment control equipment based on the temperature difference, calculating first operation power according to the first adjusting coefficient, and controlling operation of the environment control equipment; periodically collecting current environment data in the warehouse, and performing error compensation on the data in the current environment data to generate corrected environment data; and searching a storage state mapping table based on the corrected environment data, extracting a storage state corresponding to the maximum weight value, judging whether the corrected environment data is abnormal or not according to the storage state, and adjusting the environment control equipment when the corrected environment data is abnormal. According to the invention, the accuracy, flexibility and intelligent level of storage environment adjustment are improved.

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 provides an environment control method and device for a clean room, and the method comprises the steps: inputting temperature and humidity data corresponding to a current moment and external data into a data prediction model, and obtaining a load demand adjustment result at a next moment corresponding to the current moment; wherein the data prediction model is obtained by training historical temperature and humidity data and historical external data; adjusting control model parameters according to the load demand adjustment result, and generating a pre-adjustment instruction; and according to the pre-adjusting instruction, the clean air conditioning unit and the external equipment are controlled, and environment control over the clean room is completed.

The invention provides an environment control method and system, a readable storage medium and electronic equipment, and the method comprises the steps: obtaining environment data, the environment data at least comprises temperature data, humidity data, air quality data and pressure data, and the vibration data is collected through vibration sensors arranged on all manufacturing equipment; judging whether the environment data is abnormal or not; if not, inputting the environment data into the trained neural network model, outputting a control strategy, and controlling corresponding environment control equipment according to the control strategy so as to ensure the stability and consistency of the production environment; if yes, acquiring vibration data of each device, analyzing the vibration data, and determining a target device with an abnormal operation state; according to the method, the target equipment is controlled to stop working, an alarm is given, real-time prediction and quick response to environment changes can be achieved, the stability of the production process is ensured, in addition, shutdown processing is carried out on the equipment in an abnormal state, and the production environment is further optimized while safe production is ensured.

The invention discloses a rock degradation test device in a complex environment. Comprising a test chamber used for containing a sample and providing a test place; the functional part is connected with the test cabin and provides a simulation environment for the test cabin; a control module; the environment simulation module comprises a cooling simulation unit, a temperature and humidity simulation unit and a freeze thawing simulation unit; the cooling simulation unit, the temperature and humidity simulation unit and the freeze thawing simulation unit share a functional part and are respectively connected with the control module; the detection modules are respectively arranged in the test cabin and are used for detecting the air tightness of the simulation environment, the temperature and humidity of the simulation environment, the air pressure and the sample dryness. The invention provides a rock degradation test device in a complex environment. The test device integrates the functions of a sample container, simulation environment providing, intelligent control, detection and the like. Rock degradation tests under different cooling, temperature and humidity and freezing and thawing modes are carried out through functional parts, so that diversified requirements of rock degradation research in a complex environment are met.

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.