Walk-in environmental experiment bin

Abstract

The invention relates to the technical field of environment simulation experiments, in particular to a step-in type environment experiment bin which comprises a main bin structure, a dynamic environment simulation system is integrated in the main bin structure, an intelligent control system is integrated in the main bin structure, and a full-dimension monitoring system is integrated in the main bin structure. According to the invention, through the design of the composite armored cabin body, a multi-mode dynamic environment simulation system and an intelligent control system are integrated, high-precision regulation and control of environmental parameters and full-dimensional monitoring of material performance are realized, a three-layer composite structure gives consideration to strength and heat preservation, and a complex environment can be accurately simulated through a multi-mode heating and refrigerating system and an intelligent humidification technology. The predictive control platform based on digital twinning is combined with edge calculation and quantum encryption communication, rapid response and data security of the system are ensured, a multi-physics field monitoring network and a material damage prediction model can construct a material state map in real time, and reliable data support is provided for experiments.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of environmental simulation experiment, in particular to a walk-in environmental experiment chamber. BACKGROUND

[0002] In the field of environmental simulation experiment equipment, traditional experiment chambers generally have problems of insufficient temperature control accuracy, delayed environmental parameter response, poor system stability, etc. In the prior art, single-layer chamber structure cannot balance the heat preservation performance and mechanical strength, conventional heating and refrigeration systems cannot meet the rapid temperature change demand, the humidity control range is limited and the uniformity is poor, at the same time, most of the equipment lack real-time monitoring capability of material performance, the intelligent degree of control system is insufficient, the data acquisition and analysis means are relatively single, it is difficult to meet the increasing demand for complex environmental simulation and high-precision testing in the fields of aerospace, new energy materials, etc., in addition, the security and traceability of experimental data also face challenges, and an integrated advanced material, intelligent control and multi-dimensional monitoring technology comprehensive solution is urgently needed. SUMMARY

[0003] Therefore, the present application provides a walk-in environmental experiment chamber to solve the above problems.

[0004] The present application provides the following technical scheme: a walk-in environmental experiment chamber, comprising a main chamber structure, a dynamic environment simulation system is integrated inside the main chamber structure, an intelligent control system is integrated inside the main chamber structure, and a full-dimensional monitoring system is integrated inside the main chamber structure.

[0005] As a preferred scheme of the present application, the main chamber structure is a multi-layer composite armor heat preservation design, the main chamber structure comprises an outer layer 304 stainless steel protective layer, an intermediate aerogel nanometer thermal insulation layer is arranged on the inner side of the outer layer 304 stainless steel protective layer, and an inner layer antibacterial aluminum alloy layer is arranged on the inner side of the intermediate aerogel nanometer thermal insulation layer.

[0006] As a preferred scheme of the present application, the dynamic environment simulation system comprises a multi-mode heating device, the multi-mode heating device comprises an infrared radiation heating array, a microwave auxiliary heating unit and a contact type heat conduction plate, an intelligent humidification system is electrically connected to the output end of the multi-mode heating device, the intelligent humidification system can realize ultrasonic atomization, steam injection and membrane permeation humidification, a hybrid refrigeration unit is electrically connected to the output end of the intelligent humidification system, and the hybrid refrigeration unit comprises a magnetic suspension centrifugal compressor, liquid CO2 injection refrigeration and thermoelectric refrigeration modules to form a three-stage refrigeration system.

[0007] As a preferred scheme of the present application, the intelligent control system is used to build a predictive control platform based on digital twinning, the intelligent control system comprises an edge computing node, an output end of the edge computing node is electrically connected with a distributed PLC array, an output end of the distributed PLC array is electrically connected with a quantum encryption communication module, an LSTM neural network algorithm is deployed inside the edge computing node, the edge computing node is used to realize 0.1s-level predictive response of environmental parameters, the architecture of the distributed PLC array is a triple-redundancy architecture, and the quantum encryption communication module supports 5G and optical fiber dual-channel data transmission.

[0008] As a preferred scheme of the present application, the full-dimension monitoring system comprises a multi-physical field sensor array and a material performance analyzer, the multi-physical field sensor array comprises a 64-channel temperature field scanner, a 32-point humidity gradient detector and a 16-direction air flow speed sensor, and the material performance analyzer is internally integrated with a terahertz imaging, an X-ray diffraction and a laser confocal microscope.

[0009] As a preferred scheme of the present application, the multi-mode heating device is loaded with a space power density distribution algorithm, the multi-mode heating device can adjust the heating power of each region in real time according to infrared thermal imaging feedback, the multi-mode heating device is further integrated with a microwave focusing system, the microwave focusing system adopts a phased array antenna to realize directional heating precision, and the multi-mode heating device is further provided with a piezoelectric sensor, which is used to adaptively adjust and maintain stable contact pressure.

[0010] As a preferred scheme of the present application, the intelligent humidifying system comprises a water quality purification unit, an atomized particle size control system and a mixing chamber, the water quality purification unit adopts three-stage treatment of reverse osmosis, ultraviolet sterilization and ion exchange, the atomized particle size control system realizes adjustable particle size through an acoustic resonant cavity, and the mixing chamber is used to maintain humidity uniformity.

[0011] As a preferred scheme of the present application, the thermoelectric refrigeration module in the hybrid refrigeration unit has a quick switching function, and the thermoelectric refrigeration module can realize rapid conversion between heating and refrigeration modes.

[0012] As a preferred scheme of the present application, the intelligent control system is loaded with a digital twinning engine and a self-learning optimization algorithm, an output end of the quantum encryption communication module is electrically connected with a blockchain storage system, the digital twinning engine stores a three-dimensional thermal fluid simulation model, the self-learning optimization algorithm adopts AI to cooperate with a constant algorithm to perform real-time optimization calculation, and the blockchain storage system protects the encrypted communication data.

[0013] As a preferred scheme of the present application, the full-dimension monitoring system is loaded with a multi-sensor data fusion algorithm for the calculation of the multi-physical field sensor array, an output end of the multi-sensor data fusion algorithm is electrically connected with a material damage prediction model, an output end of the material damage prediction model is electrically connected with a real-time spectrum analysis module, the multi-sensor data fusion algorithm adopts a feature extraction framework based on deep learning, the multi-sensor data fusion algorithm performs spatio-temporal correlation analysis on temperature field, humidity gradient and air flow speed data through a convolutional neural network and fuses structure defect data of terahertz imaging and X-ray diffraction to complete the construction of a four-dimensional feature map of material state, the material damage prediction model integrates a fatigue accumulation algorithm and a crack propagation dynamics model, the material damage prediction model predicts the remaining life of the material according to the real-time spectrum analysis result, the real-time spectrum analysis module supports ultra-wideband signal processing, and the real-time spectrum analysis module decomposes the time-frequency characteristics of the multi-physical field signal through wavelet transform.

[0014] Compared with the prior art, the present application has the following advantages: In the present application, through the design of the composite armor bin body, a multi-mode dynamic environment simulation system and an intelligent control system are integrated, high-precision regulation and control of environmental parameters and full-dimension monitoring of material performance are realized, the three-layer composite structure takes into account the strength and thermal insulation, the multi-mode heating, refrigeration system and intelligent humidification technology can accurately simulate complex environments, the predictive control platform based on digital twinning combines edge computing and quantum encryption communication, ensuring the rapid response and data security of the system, the multi-physical field monitoring network and the material damage prediction model can construct a material state map in real time, providing reliable data support for experiments, and the scheme improves the stability, control precision and data analysis capability of the environment simulation, meeting the stringent requirements of complex environment simulation and material performance research. BRIEF DESCRIPTION OF DRAWINGS

[0015] Figure 1 The overall architecture distribution diagram of the present application is shown in the figure. DETAILED DESCRIPTION

[0016] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0017] Please refer to Figure 1 The technical solutions provided by the present application specifically include the following embodiments: Embodiment: A walk-in environmental test chamber, comprising a main chamber structure, a dynamic environment simulation system integrated inside the main chamber structure, an intelligent control system integrated inside the main chamber structure, and a full-dimensional monitoring system integrated inside the main chamber structure. The device is equipped with a large-size touch screen, adopts a graphical operation interface, supports convenient editing and storage of test programs, has a built-in network communication interface to allow remote monitoring and device management, a high-definition camera to record the experiment process in real time, video data can be encrypted and transmitted, the system automatically records environmental parameters and operating status, and generates a complete test report.

[0018] The main chamber structure is designed with multi-layer composite armor for heat preservation, and comprises an outer 304 stainless steel protective layer, an intermediate aerogel nanometer thermal insulation layer inside the outer 304 stainless steel protective layer, and an inner antibacterial aluminum alloy layer inside the intermediate aerogel nanometer thermal insulation layer. The main chamber adopts a three-layer composite armor design, the outer layer is a stainless steel protective layer with excellent impact resistance and corrosion resistance; the intermediate layer is a nanometer aerogel thermal insulation material that effectively insulates heat transfer; the inner layer is an antibacterial aluminum alloy that ensures a clean internal environment; the three layers are tightly combined through a special process, with excellent overall heat preservation performance; the chamber body uses circular arc transition and precision welding technology to ensure sealing at extreme temperatures; the inner wall integrates a multi-point temperature monitoring module to provide real-time feedback on the heat preservation state; data is transmitted to the control system through a high-speed bus to achieve dynamic optimization and adjustment; this design not only ensures structural strength but also significantly improves environmental stability.

[0019] The dynamic environment simulation system comprises a multi-mode heating device, which includes an infrared radiation heating array, a microwave-assisted heating unit, and a contact heat conduction plate; the output end of the multi-mode heating device is electrically connected to an intelligent humidification system, which can realize ultrasonic atomization, steam injection, and membrane permeation humidification; the output end of the intelligent humidification system is electrically connected to a hybrid refrigeration unit, which consists of a magnetic suspension centrifugal compressor, a liquid CO2 injection refrigeration module, and a thermoelectric refrigeration module to form a three-stage refrigeration system. The heating system integrates infrared radiation, microwave-assisted heating, and contact heat conduction; the infrared array can achieve precise temperature control in different zones; the microwave unit uses phased array technology to support directional focused heating; the heat conduction plate is equipped with a pressure self-adaptive adjustment function to ensure close contact with the test piece; the system coordinates the work of each module through intelligent algorithms, dynamically adjusts the output power based on real-time temperature feedback, and realizes rapid heating and uniform heating; the three modes complement each other, meeting the high-intensity heating demand and allowing fine temperature adjustment, suitable for various complex environment simulation scenarios. The refrigeration system integrates magnetic suspension compression, liquid injection and thermoelectric three refrigeration modes, the magnetic suspension unit provides basic refrigeration capacity, the injection system deals with ultra-low temperature working conditions, the thermoelectric module realizes rapid cold and hot switching, and each stage refrigeration unit is organically combined through optimized pipeline design, intelligently switches the working mode according to the temperature demand, the system has excellent temperature stability and response speed, can realize large range cooling in a short time, and keeps accurate temperature control, and meets various severe environmental simulation requirements.

[0020] The intelligent control system is used for building a predictive control platform based on digital twinning, and the intelligent control system comprises an edge computing node, an output end of the edge computing node is electrically connected with a distributed PLC array, an output end of the distributed PLC array is electrically connected with a quantum encryption communication module, an LSTM neural network algorithm is deployed inside the edge computing node, the edge computing node is used for realizing 0.1s-level prediction response of environmental parameters, the distributed PLC array has a three-redundancy architecture, and the quantum encryption communication module supports 5G and optical fiber dual-channel data transmission.

[0021] The full-dimension monitoring system comprises a multi-physical field sensor array and a material performance analyzer, the multi-physical field sensor array comprises a 64-channel temperature field scanner, a 32-point humidity gradient detector and a 16-direction air flow speed sensor, and the material performance analyzer is internally integrated with a terahertz imaging, an X-ray diffraction and a laser confocal microscope.

[0022] The multi-mode heating device is loaded with a space power density distribution algorithm, the multi-mode heating device can adjust the heating power of each region in real time according to infrared thermal imaging feedback, the multi-mode heating device is further integrated with a microwave focusing system, the microwave focusing system adopts a phased array antenna to realize directional heating precision, the multi-mode heating device is further provided with a piezoelectric sensor, and the piezoelectric sensor is used for self-adaptive contact pressure adjustment and stable contact pressure maintenance; the intelligent humidification system comprises a water quality purification unit, an atomization particle size control system and a mixing chamber, the water quality purification unit adopts three-stage treatment of reverse osmosis, ultraviolet sterilization and ion exchange, the atomization particle size control system realizes adjustable particle size through an acoustic resonance cavity, and the mixing chamber is used for maintaining humidity uniformity; the thermoelectric refrigeration module in the mixed refrigerating unit has a rapid switching function, and the thermoelectric refrigeration module can realize rapid conversion between heating and refrigeration modes. The humidification system comprises ultrasonic atomization, steam injection and membrane permeation three technologies, a front water quality purification unit ensures water purity, an atomization module can accurately control particle size, a steam system provides large-capacity humidification capacity, a membrane permeation technology realizes fine humidity regulation, humidified air output by each unit is fully homogenized in a mixing chamber and then sent into an experimental chamber, so that the space humidity is uniform and stable, the system supports wide-range adjustment from dryness to high humidity, and can quickly respond to humidity change instructions, and meets the test requirements of different materials.

[0023] The intelligent control system is loaded with a digital twin engine and a self-learning optimization algorithm, and the output end of the quantum encryption communication module is electrically connected with a blockchain storage system, the digital twin engine stores a three-dimensional thermal fluid simulation model, the self-learning optimization algorithm uses AI to cooperate with constant algorithm for real-time optimization calculation, and the blockchain storage system protects the encrypted communication data; The multi-sensor data fusion algorithm is loaded in the full-dimensional monitoring system, the multi-sensor data fusion algorithm is used for the calculation of the multi-physical field sensor array, the output end of the multi-sensor data fusion algorithm is electrically connected with a material damage prediction model, the output end of the material damage prediction model is electrically connected with a real-time spectrum analysis module, the multi-sensor data fusion algorithm adopts a feature extraction framework based on deep learning, the multi-sensor data fusion algorithm performs spatio-temporal correlation analysis on temperature field, humidity gradient and air flow velocity data through a convolutional neural network, and constructs a four-dimensional feature map of material state by fusing terahertz imaging and X-ray diffraction structure defect data, the material damage prediction model integrates a fatigue accumulation algorithm and a crack propagation dynamics model, the material damage prediction model predicts the remaining life of the material according to the real-time spectrum analysis result, and the real-time spectrum analysis module supports ultra-wideband signal processing, and the real-time spectrum analysis module decomposes the time-frequency characteristics of the multi-physical field signal through wavelet transform; The control system is based on digital twin technology, processes sensor data in real time through edge computing nodes, predicts environmental change trends using neural network algorithms, ensures reliable execution of control instructions through a distributed PLC array, ensures data transmission security through quantum encryption communication, establishes a virtual experiment warehouse model, continuously optimizes control strategies, realizes accurate prediction and rapid adjustment of environmental parameters, improves the response speed and control accuracy of the system, and provides an intelligent solution for complex environment simulation; The monitoring system integrates temperature, humidity and air flow multi-physical field sensors, combines imaging technology, comprehensively obtains environmental and specimen state data, constructs a four-dimensional feature map of material state through data fusion algorithm, analyzes structure defects and development trends in real time, evaluates material damage degree through the built-in prediction model, calculates the remaining service life, realizes full-dimensional monitoring and analysis from environmental parameters to material performance, and ensures data authenticity and traceability through blockchain technology, providing a safe and reliable data solution for users.

[0024] In the application, the main body bin adopts a three-layer composite armor design, the outer layer is a stainless steel protective layer, which has excellent impact resistance and corrosion resistance; the middle layer is a nano aerogel thermal insulation material, which effectively insulates heat transfer; the inner layer is an antibacterial aluminum alloy, which ensures the internal environment clean, the three-layer structure is tightly combined through a special process, the overall thermal insulation performance is excellent, the bin body adopts arc transition and precision welding technology to ensure the sealing performance under extreme temperature, the inner wall integrates a multi-point temperature monitoring module, which can feedback the thermal insulation state in real time, the data is transmitted to the control system through a high-speed bus, and dynamic optimization adjustment is realized, which greatly improves the environmental stability while ensuring the structural strength; the heating system integrates infrared radiation, microwave auxiliary and contact heating modes, the infrared array can realize accurate temperature control in different areas; the microwave unit adopts phased array technology, which supports directional focusing heating; the heat conduction plate is equipped with pressure self-adaptive adjustment function to ensure close contact with the test piece, the system coordinates the work of each module through intelligent algorithm, dynamically adjusts the output power according to real-time temperature feedback, realizes rapid heating and uniform heating, and the three modes are complementary, which can meet the high-strength heating demand and realize fine temperature adjustment, and is suitable for various complex environment simulation scenes; the refrigeration system integrates magnetic suspension compression, liquid injection and thermoelectric three refrigeration modes, the magnetic suspension unit provides basic refrigeration capacity, the injection system deals with ultra-low temperature working condition, and the thermoelectric module realizes rapid cold and hot switching, and each stage refrigeration unit is organically combined through optimized pipeline design, and intelligently switches the working mode according to the temperature demand, the system has excellent temperature stability and response speed, can realize large-scale cooling in a short time, and keeps accurate temperature control, and meets various severe environmental simulation requirements; the humidification system includes ultrasonic atomization, steam injection and membrane permeation three technologies, the front water purification unit ensures the purity of water, the atomization module can accurately control the particle size, the steam system provides large-capacity humidification capacity, the membrane permeation technology realizes fine humidity adjustment, the humid air output by each unit is fully homogenized in the mixing chamber and then sent into the experimental bin, so as to ensure the uniform and stable space humidity, the system supports wide range adjustment from dry to high humidity, and can quickly respond to humidity change instructions, and meets the test requirements of different materials; the control system is based on digital twinning technology, processes sensor data in real time through edge computing nodes, predicts environmental change trend by using neural network algorithm, ensures reliable execution of control instructions through distributed PLC array, guarantees data transmission safety through quantum encryption communication, the system establishes a virtual experimental bin model, continuously optimizes the control strategy, realizes accurate prediction and rapid adjustment of environmental parameters, improves the response speed and control precision of the system, and provides an intelligent solution for complex environment simulation;The monitoring system integrates temperature, humidity and air flow and other multi-physical field sensors, combines imaging technology, comprehensively obtains environment and specimen state data, constructs a four-dimensional feature map of material state through a data fusion algorithm, analyzes structure defects and development trend in real time, can evaluate material damage degree and calculate residual service life through a built-in prediction model, realizes full-dimensional monitoring and analysis from environment parameters to material performance, ensures data authenticity and traceability through blockchain technology, and provides safe and reliable data scheme for users.

[0025] Although the embodiments of the present application have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the present application.

Claims

1. A walk-in environmental test chamber, characterized by: The main body structure is a multi-layer composite armor type heat preservation design, the main body structure includes an outer layer of 304 stainless steel protective layer, the inner side of the outer layer of 304 stainless steel protective layer is provided with an intermediate aerogel nanometer thermal insulation layer, and the inner side of the intermediate aerogel nanometer thermal insulation layer is provided with an inner layer of antibacterial aluminum alloy.

2. The walk-in environmental test chamber of claim 1, wherein: The dynamic environment simulation system includes a multi-mode heating device, the multi-mode heating device contains an infrared radiation heating array, a microwave auxiliary heating unit and a contact type heat conduction plate, the output end of the multi-mode heating device is electrically connected with an intelligent humidification system, the intelligent humidification system can realize ultrasonic atomization, steam injection and membrane permeation humidification, the output end of the intelligent humidification system is electrically connected with a mixed refrigeration unit, and the mixed refrigeration unit consists of a magnetic suspension centrifugal compressor, liquid CO2 injection refrigeration and a thermoelectric refrigeration module to form a three-stage refrigeration system.

3. The walk-in environmental test chamber of claim 1, wherein: The intelligent control system is used for constructing a predictive control platform based on digital twinning, the intelligent control system includes an edge computing node, the output end of the edge computing node is electrically connected with a distributed PLC array, the output end of the distributed PLC array is electrically connected with a quantum encryption communication module, an LSTM neural network algorithm is arranged in the edge computing node, the edge computing node is used for realizing 0.1s-level prediction response of environmental parameters, the architecture of the distributed PLC array is a three-redundancy architecture, and the quantum encryption communication module supports 5G and optical fiber dual-channel data transmission.

4. The walk-in environmental test chamber of claim 1, wherein: The full-dimensional monitoring system includes a multi-physical field sensor array and a material performance analyzer, the multi-physical field sensor array contains a 64-channel temperature field scanner, a 32-point humidity gradient detector and a 16-way air flow speed sensor, and the material performance analyzer is internally integrated with a terahertz imaging, an X-ray diffraction and a laser confocal microscope.

5. The walk-in environmental test chamber of claim 1, wherein: The multi-mode heating device is loaded with a space power density distribution algorithm, the multi-mode heating device can adjust the heating power of each region in real time according to infrared thermal imaging feedback, the multi-mode heating device is further integrated with a microwave focusing system, the microwave focusing system adopts a phased array antenna to realize directional heating precision, and the multi-mode heating device is further provided with a piezoelectric sensor, which is used for adaptive contact pressure adjustment and stable contact pressure maintenance.

6. The walk-in environmental test chamber of claim 3, wherein: The intelligent humidification system contains a water quality purification unit, an atomization particle size control system and a mixing chamber, the water quality purification unit adopts three-stage treatment of reverse osmosis, ultraviolet sterilization and ion exchange, the atomization particle size control system realizes adjustable particle size through an acoustic resonance cavity, and the mixing chamber is used for maintaining humidity uniformity.

7. The walk-in environmental test chamber of claim 3, wherein: The thermoelectric refrigeration module in the mixed refrigeration unit has a quick switching function, and the thermoelectric refrigeration module can realize rapid conversion between heating and refrigeration modes.

8. The walk-in environmental test chamber of claim 3, wherein: ​ 9. The walk-in environmental test chamber of claim 4, wherein: The intelligent control system is internally loaded with a digital twin engine and a self-learning optimization algorithm, an output end of the quantum encryption communication module is electrically connected with a blockchain storage system, the digital twin engine internally stores a three-dimensional thermal fluid simulation model, the self-learning optimization algorithm adopts AI to cooperate with constant algorithm for real-time optimization calculation, and the blockchain storage system completes protection of encrypted communication data.

10. The walk-in environmental test chamber of claim 5, wherein: The full-dimension monitoring system is internally loaded with a multi-sensor data fusion algorithm, the multi-sensor data fusion algorithm is used for calculation of the multi-physical field sensor array, an output end of the multi-sensor data fusion algorithm is electrically connected with a material damage prediction model, an output end of the material damage prediction model is electrically connected with a real-time spectrum analysis module, the multi-sensor data fusion algorithm adopts a feature extraction framework based on deep learning, the multi-sensor data fusion algorithm performs space-time correlation analysis on temperature field, humidity gradient and air flow speed data through a convolutional neural network, and constructs a four-dimensional feature spectrum of a material state by fusing structure defect data of terahertz imaging and X-ray diffraction, the material damage prediction model is integrated with a fatigue accumulation algorithm and a crack propagation dynamics model, the material damage prediction model predicts material residual life according to real-time spectrum analysis results, and the real-time spectrum analysis module supports ultra-wideband signal processing, and the real-time spectrum analysis module decomposes time-frequency characteristics of multi-physical field signals through wavelet transform.

Images