Multi-environment test chamber and method for correcting optical online monitoring data model

Abstract

The invention discloses a multi-environment test chamber and method for optical online monitoring data model correction, the multi-environment test chamber comprises a chamber body and a controller, the chamber body is provided with a gas management system, a dynamic airflow regulation and control system, a temperature and humidity control system, a pressure regulation and control system and a meteorological five-element sensor; the gas management system, the dynamic gas flow regulation and control system, the temperature and humidity control system, the pressure regulation and control system and the meteorological five-element sensor are electrically connected with the controller respectively; the cabin body is provided with a sampling window. According to the multi-environment test chamber disclosed by the invention, various environment control devices and sensing instruments are integrated, and environment parameters in the chamber are accurately regulated and controlled, so that experiment scenes under different environment conditions are simulated. By collecting the spectral data under the influence of various complex environments, a data model of the optical online monitoring equipment can be corrected in an auxiliary manner, so that the accuracy and the reliability of the monitoring data are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of optical monitoring equipment, and in particular to a multi-environment test chamber and method for correcting an optical online monitoring data model. Background Art

[0002] Optical monitoring equipment is widely used in environmental monitoring, industrial production, medical diagnosis and other fields. In the field of optical online monitoring, accurate data models are crucial for the correct analysis of monitoring data. Current optical online monitoring systems are usually only calibrated and tested under static or single environmental conditions, which limits the accuracy and reliability of the system in a changing environment. Given that factors such as temperature, humidity, wind speed, wind direction and air pressure in the real environment will affect spectral data and cause data deviations; in order to adapt to the diversity of the environment and improve the performance of the monitoring system, it becomes necessary to dynamically correct and optimize the data model.

[0003] The currently widely used gas test facilities cannot simulate and control the combined effects of these meteorological factors at the same time, and the accuracy of variable control is low, so the spectral data in complex environments cannot be fully replicated, resulting in slow progress in model correction. In addition, the lack of a feedback mechanism for real-time monitoring data makes the timeliness and adaptability of model updates insufficient, and it is unable to promptly reflect the impact of environmental changes on monitoring results.

[0004] Therefore, developing a test chamber that can comprehensively control multiple environmental variables, ensuring significant advantages in the accuracy of simulating complex environmental conditions, and providing more accurate conditions for the effective correction of the optical online monitoring data model, thereby enhancing the performance of the optical online monitoring system, has urgent industry needs and important scientific value. This innovation not only meets the industry's urgent need for high-performance monitoring equipment, but also provides an important scientific basis for in-depth research on the relationship between spectral data and environmental factors, and promotes technological progress in related fields. Summary of the invention

[0005] The purpose of the present invention is to provide a multi-environment test chamber and method for optical online monitoring data model correction to solve the problems raised in the above background technology. To achieve the above purpose, the present invention provides the following technical solutions: A first aspect of the present invention provides a multi-environment test chamber for optical online monitoring data model correction, comprising a chamber and a controller, wherein the chamber is provided with: A gas management system, which is used to regulate the gas environment in the cabin; A dynamic airflow control system for controlling the airflow in the cabin; A temperature and humidity control system, which is used to adjust the temperature and humidity in the cabin; A pressure regulating system for regulating the air pressure in the cabin; and A five-element meteorological sensor for real-time monitoring of the temperature, humidity, wind speed, wind direction and air pressure in the cabin; Among them, the gas management system, dynamic airflow control system, temperature and humidity control system, pressure control system and meteorological five-element sensor are electrically connected to the controller respectively; and the cabin is provided with a sampling window.

[0006] The test chamber of the present invention achieves a high-precision environmental simulation effect by means of the coordinated operation of the gas management system, the dynamic airflow control system, the temperature and humidity control system, and the pressure control system. In terms of temperature control, the accuracy is within ±0.5°C; in terms of humidity control, the accuracy is within ±2% RH; in terms of air pressure control, the accuracy is within ±0.1kPa. These improved accuracy indicators provide more accurate environmental conditions for the correction of the optical online monitoring data model, and enhance the accuracy and reliability of the data model correction.

[0007] Furthermore, the gas management system includes a gas source device, a gas flow control valve and an infrared sensor; the gas source device is used to input experimental gas into the cabin, and the gas flow control valve is connected between the gas source device and the cabin; the infrared sensor is used to monitor the gas concentration in the cabin; the gas source device, gas flow control valve and infrared sensor are electrically connected to the controller respectively.

[0008] Furthermore, the dynamic airflow control system includes a first fan, a second fan and a flow guide; the first fan is used to adjust the wind speed of the airflow in the cabin; the second fan and the flow guide are arranged in the cabin to adjust the wind direction of the airflow in the cabin; the first fan, the second fan and the flow guide are electrically connected to the controller respectively.

[0009] Furthermore, the temperature and humidity control system includes a temperature controller, a circulating hot and cold jacket, a humidity controller and a temperature and humidity sensor; the circulating hot and cold jacket is arranged on the inner wall of the cabin, the temperature controller is connected to the circulating hot and cold jacket, and the temperature controller regulates the temperature in the cabin through the circulating hot and cold jacket; the humidity controller is used to regulate the humidity in the cabin; the temperature and humidity sensor is arranged in the cabin; the temperature controller, humidity controller and temperature and humidity sensor are electrically connected to the controller respectively.

[0010] Furthermore, the pressure control system includes an air compressor, a vacuum pump and a pressure sensor; the air compressor and the vacuum pump are respectively connected to the interior of the cabin; the pressure sensor is arranged in the cabin; the air compressor, the vacuum pump and the pressure sensor are respectively electrically connected to the controller.

[0011] Furthermore, the multi-environment test chamber also includes a gas exhaust device, and the vacuum pump is connected to the gas exhaust device.

[0012] Furthermore, the cabin body also includes a cabin door, and a sealing ring is provided on the cabin door.

[0013] Furthermore, the sampling window is made of an optical glass material with high light transmittance, and an anti-fog and anti-reflection coating is provided on its surface.

[0014] Furthermore, the controller adopts a PID algorithm for regulation and control, and the PID algorithm includes the following formula: ; Where u(t) is the output of the controller, e(t) is the current error, Kp is the proportional coefficient, Ki is the integral coefficient, and Kd is the differential coefficient.

[0015] A second aspect of the present invention provides a method for correcting an optical online monitoring data model using any of the multi-environment test chambers described above, comprising the following steps: S1. Set and calibrate the environmental parameters in the cabin; S2, injecting target gas into the cabin and controlling the wind speed and direction of the gas flow; S3, after the environmental parameters are stable, collect spectral data and record the environmental parameters in real time; S4, changing environmental parameters, gas components and gas concentrations, repeating step S3, and obtaining spectral data under different conditions; S5. Compare and analyze the spectral data under different conditions and correct the data model of the spectral monitor.

[0016] The beneficial effect of the present invention is that the multi-environment test chamber of the present invention integrates a variety of environmental control devices and sensing instruments, and accurately controls the environmental parameters in the chamber to simulate experimental scenes under different environmental conditions. By collecting spectral data under the influence of various complex environments, the data model of the optical online monitoring equipment can be assisted in correcting, thereby improving the accuracy and reliability of the monitoring data. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 It is a structural block diagram of the multi-environment test chamber of the present invention.

[0019] Figure 2It is a structural schematic diagram of the multi-environment test chamber of the present invention.

[0020] Figure 3 It is a cross-sectional view of the multi-environment test chamber of the present invention.

[0021] Figure 4 It is a flowchart of the optical online monitoring data model correction method of the present invention.

[0022] It should be noted that the drawings are not necessarily drawn to scale, but are merely shown in a schematic manner that does not affect the reader's understanding. DETAILED DESCRIPTION

[0023] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0024] In the present invention, the directions or positional relationships indicated by the terms "upper", "lower", "left", "right", "front", "back", "top", "bottom", "inner", "outer", "middle", "vertical", "horizontal", "lateral", "longitudinal" and the like are based on the directions or positional relationships shown in the drawings. These terms are mainly used to better describe the present invention and its embodiments, and are not used to limit the indicated devices, elements or components to have a specific direction, or to be constructed and operated in a specific direction.

[0025] In addition, some of the above terms may be used to express other meanings in addition to indicating orientation or positional relationship. For example, the term "on" may also be used to express a certain dependency or connection relationship in some cases. For those skilled in the art, the specific meanings of these terms in the present invention can be understood according to specific circumstances.

[0026] In addition, the terms "installed", "set", "provided with", "connected", and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral structure; it can be a mechanical connection, or an electrical connection; it can be a direct connection, or an indirect connection through an intermediate medium, or it can be an internal connection between two devices, elements, or components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0027] In addition, the terms "first", "second", etc. are mainly used to distinguish different devices, elements or components (the specific types and structures may be the same or different), and are not used to indicate or imply the relative importance and quantity of the indicated devices, elements or components. Unless otherwise specified, "plurality" means two or more.

[0028] It should also be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0029] It should be further understood that the term "and / or" used in the present description and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations. Example

[0030] like Figures 1 to 3 As shown, an embodiment of the present application provides a multi-environment test chamber for optical online monitoring data model correction, including a chamber 1 and a PID controller 2 that uses a PID algorithm for adjustment and control; the chamber 1 is provided with: a gas management system 3 for regulating the gas environment in the chamber 1, a dynamic airflow control system 4 for regulating the airflow in the chamber 1, a temperature and humidity control system 5 for regulating the temperature and humidity in the chamber 1, a pressure control system 6 for regulating the air pressure in the chamber 1, and a meteorological five-element sensor 7 for real-time monitoring of the temperature, humidity, wind speed, wind direction and air pressure in the chamber 1; wherein the gas management system 3, the dynamic airflow control system 4, the temperature and humidity control system 5, the pressure control system 6 and the meteorological five-element sensor 7 are electrically connected to the controller 2 respectively; the chamber 1 is provided with a sampling window 11.

[0031] As an example, this embodiment provides a multi-environment test chamber for optical online monitoring data model correction. The chamber 1 is made of stainless steel 316L, and the interior is coated with high-performance fluorocarbon polymer material. The wall thickness is 10 mm, and it can withstand a maximum air pressure of 2.99 MPa. A sampling window 11 is provided on the chamber 1. The position and size design of the sampling window 11 need to be set according to the optimal observation angle and field of view of the spectrometer to ensure that the spectral data of the cabin environment can be accurately and efficiently collected. The sampling window 11 is made of optical glass material with high light transmittance. The glass thickness is 15 mm, the length and width are 15 cm and 10 cm respectively, the observation angle is 30 to 150 degrees, and the glass surface adopts a combination of anti-reflection (AR) coating and anti-fog coating.

[0032] The cabin 1 is provided with a gas management system 3 for regulating the gas environment in the cabin 1, a dynamic airflow control system 4 for regulating the airflow in the cabin 1, a temperature and humidity control system 5 for regulating the temperature and humidity in the cabin 1, a pressure control system 6 for regulating the air pressure in the cabin 1, and a meteorological five-element sensor 7 for real-time monitoring of the temperature, humidity, wind speed, wind direction and air pressure in the cabin 1; the controller 2 is electrically connected to each system and instrument equipment on the cabin 1 through a control signal line for centralized control and monitoring, and the sensor values ​​and equipment operation status are centrally displayed on the controller 2 through a display screen. Each system and instrument equipment feeds back real-time data to the controller 2, and the controller 2 analyzes and processes the real-time data according to preset parameters and algorithms, and then issues instructions to dynamically adjust each system and instrument equipment, thereby realizing precise control of the cabin environment (including environmental conditions such as temperature, humidity, wind speed, wind direction, air pressure, gas composition and gas concentration). This centralized control and monitoring method can ensure the stability and controllability of the environment in the cabin 1, and provide a reliable experimental environment for the correction of the optical online monitoring data model, so as to obtain spectral data under different environmental conditions for analysis and establishment of optical monitoring data models. By using MATLAB for data processing, the spectral data under different environmental conditions are compared, and the influence of various parameters on the spectral signal is analyzed. By using applied statistical analysis methods, the key factors affecting the quality of spectral data are identified, and the data model of the spectral monitor is corrected accordingly. Based on the relationship between spectral data and known environmental parameters, the data model is established and optimized, which can improve the efficiency and accuracy of the correction of the data model of the optical monitoring equipment and enhance the performance of the optical online monitoring system. It has the advantages of precision, efficiency and universality, and can be widely used in instrument manufacturing, environmental monitoring, meteorological research and other fields, which is helpful for the correction research of data models.

[0033] The working principle and beneficial effects of this embodiment are as follows: the test chamber integrates a variety of environmental control devices and sensing instruments, and precisely controls the environmental parameters in the chamber to simulate experimental scenes under different environmental conditions. By collecting spectral data under the influence of a variety of complex environments, the data model of the optical online monitoring equipment can be corrected to improve the accuracy and reliability of the monitoring data.

[0034] In one embodiment, the gas management system 3 includes a gas source device 31, a gas flow control valve 32 and an infrared sensor 33; the gas source device 31 is used to input experimental gas into the cabin 1, and the gas flow control valve 32 is connected between the gas source device 31 and the cabin 1; the infrared sensor 33 is used to monitor the gas concentration in the cabin 1; the gas source device 31, the gas flow control valve 32 and the infrared sensor 33 are electrically connected to the controller 2 respectively.

[0035] As an example, the gas management system 3 includes a gas source device 31, a gas flow control valve 32 and an infrared sensor 33; wherein the gas source device 31 is arranged on the side wall of the cabin 1, the gas outlet of the gas source device 31 is connected to the cabin 1, the gas outlet is a multi-hole design, and the aperture of each gas outlet is 2 mm. When the gas source device 31 is working, the experimental gas is released into the cabin 1 through the gas outlet; a gas flow control valve 32 is arranged between the gas source device 31 and the cabin 1, which is used to adjust the gas flow of the gas outlet; the infrared sensor 33 is arranged in the cabin 1, which is used to monitor the gas concentration in the cabin in real time. The gas source device 31, the gas flow control valve 32 and the infrared sensor 33 are electrically connected to the controller 2 through control signal lines respectively. The controller 2 dynamically adjusts the gas source device 31 and the gas flow control valve 32 through the PID algorithm according to the preset parameters (such as methane and benzene concentrations, etc.) combined with the concentration and the real-time gas concentration data fed back by the infrared sensor 33 to ensure that the gas environment in the cabin meets the experimental requirements. The design of the gas management system 3 can improve the gas control accuracy of the test chamber and provide a more accurate gas environment for the correction of the optical online monitoring data model.

[0036] In one embodiment, the dynamic airflow control system 4 includes a first fan 41, a second fan 42 and a guide member 43; the first fan 41 is used to adjust the wind speed of the airflow in the cabin 1; the second fan 42 and the guide member 43 are arranged in the cabin 1, and are used to adjust the wind direction of the airflow in the cabin 1; the first fan 41, the second fan 42 and the guide member 43 are electrically connected to the controller 2 respectively.

[0037] As an example, the dynamic airflow control system 4 includes a first fan 41, a second fan 42 and a guide member 43; the first fan 41 is arranged outside the cabin 1, and the air outlet of the first fan 41 leads to the cabin 1, and the wind speed in the cabin 1 is adjusted by adjusting the operating power of the first fan 41; the second fan 42 and the guide member 43 are arranged in the cabin 1, and the second fan 42 is used to stabilize the flow direction of the airflow in the cabin 1, and the guide member 43 is a structure composed of a plurality of plates, and the deflection angle of the plates is ±45°, and the wind direction is controlled by adjusting the angle of the plates; The first fan 41, the second fan 42 and the guide member 43 are electrically connected to the controller 2 respectively. The controller 2 presets the flow rate and flow direction standards according to the experimental requirements, and controls the airflow speed and direction in the cabin 1 by controlling and adjusting the power of the first fan 41 or the plate deflection angle of the guide member 43, so that the airflow flows in a preset manner. This precise airflow control capability helps to simulate the airflow conditions in various actual environments, and provides a more realistic and diverse experimental environment for the correction of the optical online monitoring data model, thereby improving the accuracy and reliability of the data model.

[0038] In one embodiment, the temperature and humidity control system 5 includes a temperature controller 51, a circulating hot and cold jacket 52, a humidity controller 53 and a temperature and humidity sensor 54; the circulating hot and cold jacket 52 is arranged on the inner wall of the cabin 1, and the temperature controller 51 is connected to the circulating hot and cold jacket 52, and the temperature controller 51 regulates the temperature in the cabin 1 through the circulating hot and cold jacket 52; the humidity controller 53 is used to regulate the humidity in the cabin 1; the temperature and humidity sensor 54 is arranged in the cabin 1; the temperature controller 51, the humidity controller 53 and the temperature and humidity sensor 54 are electrically connected to the controller 2 respectively.

[0039] As an example, the temperature and humidity control system 5 includes a temperature controller 51, a circulating cold and hot jacket 52, a humidity controller 53 and a temperature and humidity sensor 54; the temperature controller 51, the humidity controller 53 and the temperature and humidity sensor 54 are electrically connected to the controller 2 respectively. The circulating cold and hot jacket 52 is arranged on the inner wall of the cabin 1, and the surface of the circulating cold and hot jacket 52 is also wrapped and fixed with an insulation layer, that is, the insulation layer is arranged between the circulating cold and hot jacket 52 and the inner wall of the cabin 1, so as to reduce the heat loss of the circulating cold and hot jacket 52. The temperature controller 51 includes a cooling and heating device 511 and a heat exchanger 512, and the cooling and heating device 511 controls the temperature of the heat exchange medium in the heat exchanger 512. The heat exchanger 512 is connected to the circulating cold and hot jacket 52 through a pipe 513, and the heat exchange medium in the heat exchanger 512 flows to the circulating cold and hot jacket 52 through the pipe 513 for heat exchange, thereby controlling the temperature of the circulating cold and hot jacket 52, and realizing the temperature control of the cabin 1 by the circulating cold and hot jacket 52. A dehumidifier and a humidifier are arranged in the humidity controller 53, and the humidity controller 53 can continuously and cyclically regulate the air humidity in the cabin 1; the humidifier adopts ultrasonic atomization technology, decomposes water into tiny water mist particles through high-frequency oscillation, and releases these water mist particles into the cabin 1 cyclically to increase the humidity of the cabin 1; a water tank and an atomizer are arranged inside the humidifier, and after the atomizer atomizes the water, the water mist is blown into the cabin through circulation. The dehumidifier is filled with molecular sieves, which can absorb the moisture circulated into the humidity controller 53, thereby reducing the humidity of the cabin 1. The temperature and humidity sensor 54 is arranged in the cabin 1, which is used to monitor the temperature and humidity data in the cabin 1 in real time and transmit the data to the controller 2; the controller 2 realizes the precise control of the temperature and humidity in the cabin 1 by adjusting the working state of the temperature controller 51 and the humidity controller 53 according to the set temperature and humidity range. The temperature and humidity control system 5 can provide a stable and accurate temperature and humidity environment for the optical monitoring equipment, which helps to improve the accuracy and reliability of the experiment.

[0040] In one embodiment, the pressure control system 6 includes an air compressor 61, a vacuum pump 62 and a pressure sensor 63; the air compressor 61 and the vacuum pump 62 are respectively connected to the interior of the cabin 1; the pressure sensor 63 is arranged in the cabin 1; the air compressor 61, the vacuum pump 62 and the pressure sensor 63 are respectively electrically connected to the controller 2.

[0041] As an example, the pressure control system 6 includes an air compressor 61, a vacuum pump 62 and a pressure sensor 63. The air compressor 61, the vacuum pump 62 and the pressure sensor 63 are electrically connected to the controller 2 respectively. The air compressor 61 and the vacuum pump 62 work in coordination through the controller 2 to simulate different air pressure environments and realize rapid regulation and smooth control of the air pressure in the cabin. The air compressor 61 and the vacuum pump 62 are each connected to the interior of the cabin 1 through a pressure regulating valve; the pressure sensor 63 is arranged in the cabin 1, and is used to monitor the pressure situation in the cabin 1 in real time and feed the data back to the controller 2; the controller 2 is pre-set with a suitable set value and a safe pressure value range. During the experiment, the controller 2 will adjust the working state of the air compressor 61 and the vacuum pump 62 in real time according to the set value, the pressure value range and the actual pressure value. The control method is as follows: Under normal conditions, when the actual pressure value exceeds the set value required by the experiment, the controller 2 starts by controlling the vacuum pump 62 to discharge the gas from the cabin 1 to achieve the effect of reducing the pressure; when the actual pressure value is lower than the set value required by the experiment, the controller 2 starts by controlling the air compressor 61 to inject the compressed air into the cabin 1 to achieve the effect of pressurization. Under emergency conditions, when the pressure exceeds the safe pressure value range pre-set by the controller 2, the controller 2 starts by controlling the vacuum pump 62 to discharge the gas from the cabin 1 to achieve the effect of emergency pressure relief; when the negative pressure is lower than the set safe pressure value range, the controller 2 starts by controlling the air compressor 61 to inject the compressed air into the cabin 1 to avoid potential problems caused by negative pressure, thereby achieving rapid regulation and smooth control of air pressure.

[0042] The pressure control system 6 of this embodiment can provide a stable and controllable air pressure environment for the optical monitoring equipment by cooperating with the controller 2, and the double safety measures can effectively improve the experimental safety of the test chamber.

[0043] In one embodiment, the multi-environment test chamber further includes a gas exhaust device 8 , and the vacuum pump 62 is connected to the gas exhaust device 8 .

[0044] As an example, the vacuum pump 62 is also connected to the gas exhaust valve in the gas exhaust device 8 through an exhaust pipe; when the pressure exceeds the set range, the controller 2 starts by controlling the vacuum pump 62 to extract the gas to the gas exhaust device 8 to assist in exhausting the gas from the cabin 1; after the experiment, the vacuum pump 62 generates suction, the gas exhaust valve opens, and the gas enters the gas exhaust device 8 along the exhaust pipe to exhaust the gas from the cabin 1.

[0045] In one embodiment, the cabin body 1 further includes a cabin door 12 , and a sealing ring is provided on the cabin door 12 .

[0046] As an example, the thickness of the hatch 12 is 20 mm. The hatch 12 adopts a double-layer sealing structure made of a double-layer steel plate sandwich structure. The inner and outer layers are respectively provided with silicone and fluororubber sealing rings, and the polyurethane foam sealing material is filled between the two to ensure the safety and efficiency of the operation, making the entire experimental process more efficient and safe. The hatch 12 is provided with a quick-release hatch opening mechanism.

[0047] In one embodiment, the controller 2 uses a PID algorithm for regulation and control. The PID algorithm includes the following formula: ; Among them, u(t) is the output of controller 2, e(t) is the current error, Kp is the proportional coefficient, Ki is the integral coefficient, and Kd is the differential coefficient.

[0048] As an example, the gas management system 3, the dynamic airflow control system 4, the temperature and humidity control system 5, the pressure control system 6, and the meteorological five-element sensor 7 of this embodiment are all regulated and controlled by the controller 2 using the PID algorithm, and the PID algorithm includes the following contents: ; Wherein, u(t) is the output of controller 2, e(t) is the current error, Kp is the proportional coefficient, Ki is the integral coefficient, and Kd is the differential coefficient.

[0049] For the control of the gas source device 31, the controller 2 collects real-time gas concentration data through the infrared sensor 33, compares it with the set target concentration value, generates an error signal, and the PID algorithm adjusts the Kp, Ki, and Kd parameters to achieve dynamic regulation of the gas source device 31. Specifically, the proportional term (Kp) is used to quickly respond to flow changes, the integral term (Ki) corrects the steady-state error of the system, and the differential term (Kd) is used to suppress drastic fluctuations in flow.

[0050] For the control of the dynamic airflow control system 4, the controller 2 monitors the wind speed and wind direction data in real time through the meteorological five-element sensor 7. In order to achieve the best control, the initial values ​​of Kp, Ki, and Kd are pre-simulated and determined, and during operation, these parameters are dynamically adjusted according to the actual changes in wind speed and wind direction.

[0051] For the control of the temperature and humidity control system, the controller 2 dynamically adjusts the PID parameters through the real-time data fed back by the temperature and humidity sensors, and accurately controls the working status of the temperature controller 51 and the humidity controller 53 to cope with the complex changes in the cabin environment. For example: when the temperature changes drastically, the Kp value is increased for rapid response; when maintaining a stable state for a long time, the Ki value is increased to eliminate accumulated errors; when the system is sensitive to temperature fluctuations, the Kd value is appropriately adjusted to smooth the control output.

[0052] For the control of the pressure control system 6, the controller 2 adjusts the output of the air compressor 61 or the vacuum pump 62 through the feedback of the pressure sensor 63 to maintain the stability of the pressure in the cabin; the parameter adjustment of Kp, Ki, and Kd is optimized according to the pressure change rate and the volume characteristics of the cabin 1 to ensure rapid response and long-term stability of the pressure; For the control of the meteorological five-element sensor 7, the controller 2 uses the PID algorithm to perform real-time data adjustment, especially when there is noise in the sensor data or the environment changes drastically, the Kd value is appropriately adjusted to smooth the data fluctuations. Example

[0053] like Figure 4 As shown, based on the same inventive concept as a multi-environment test chamber for correcting an optical online monitoring data model, an embodiment of the present application provides a method for correcting an optical online monitoring data model, comprising the following steps: S1. Setting and calibrating the environmental parameters in the cabin 1; S2, injecting target gas into the cabin 1, and controlling the wind speed and direction of the gas flow; S3, after the environmental parameters are stable, collect spectral data and record the environmental parameters in real time; S4, changing environmental parameters, gas components and gas concentrations, repeating step S3, and obtaining spectral data under different conditions; S5. Compare and analyze the spectral data under different conditions and correct the data model of the spectral monitor.

[0054] As an example, it should be noted that before the experiment of the multi-environment test chamber, the airtightness test of the cabin 1 is first required. The specific steps are: start the vacuum pump 62 of the pressure control system 6, evacuate the interior of the cabin 1, maintain the vacuum state for a period of time, and observe whether the value of the pressure sensor 63 remains stable. If the pressure changes as detected by the pressure sensor 63, it means that the airtightness is insufficient. If the pressure remains unchanged, proceed to the next step of the test and stop the test. Then slowly increase the pressure inside the cabin 1, maintain the high pressure state for a period of time, and observe whether the pressure remains stable. If the pressure changes as detected by the pressure sensor 63, it means that the airtightness is insufficient. If the pressure remains unchanged, it means that the airtightness of the cabin 1 is intact. After the test is completed, check whether there are any abnormal phenomena in the cabin. After the test and inspection of the multi-environment test chamber are normal, start to execute the optical online monitoring data model correction. The specific steps are as follows: S1. Setting and calibrating the environmental parameters in the cabin 1; Specifically, the target environmental parameters in the cabin, including temperature, humidity and pressure, are set by the controller 2. For example, the air compressor 61 and the vacuum pump 62 in the pressure control system 6 are started, and the cabin pressure is slowly adjusted to 202.6 kPa (about 2 atm) by the controller 2. During the adjustment process, the data of the pressure sensor 63 is closely monitored to ensure that the pressure rises steadily and avoid excessive pressure fluctuations. Then, the cabin temperature is set to 25°C by the temperature controller 51. According to the difference between the current cabin temperature and the set temperature, the PID controller 2 controls the temperature controller 51 to automatically adjust the heating or cooling power so that the temperature gradually approaches the set value. At the same time, the humidifier or dehumidifier in the humidity controller 53 is started, and the humidity is set to 50%. The degree of humidification or dehumidification is also accurately adjusted by the controller 2 to achieve the set humidity. In this process, the rate of change of the initial temperature and humidity is monitored and recorded in real time, and the data is recorded once per second. The stability of the temperature and humidity is determined by analyzing these data. If necessary, the humidity controller 53 is further fine-tuned to ensure its stability as much as possible. When all sensors are working normally, record and save the initial environmental parameters, including temperature, humidity, and air pressure, and use these data as a preliminary benchmark for subsequent comparisons.

[0055] S2, injecting target gas into the cabin 1, and controlling the wind speed and direction of the gas flow; Specifically, a target gas (such as alkane gas) of a specific concentration is injected into the cabin 1 through the gas source device 31 in the gas management system 3. During the injection process, the fan is turned on and operated at low power to evenly distribute the gas in the cabin. The gas inflow rate is accurately adjusted by the PID controller 2, and the real-time monitoring data of the infrared sensor 33 is combined to ensure that the gas concentration reaches the set value. The process of injecting the target gas may affect the pressure in the cabin. In order to maintain a stable pressure in the cabin, the pressure control system 6 in the test cabin is required to monitor and adjust the pressure in real time. After the gas concentration is stable, the wind speed at the measuring point is set to 1m / s through the first fan 41 in the dynamic airflow control system 4, and the wind direction of the gas flow is set to the positive direction using the guide 43. The wind direction is changed by adjusting its angle to obtain the spectral signal under the wind direction.

[0056] S3, after the environmental parameters are stable, collect spectral data and record the environmental parameters in real time; Specifically, after the environmental parameters in the cabin 1 are stabilized, the spectrum data in the cabin 1 is collected through the sampling window 11 using a spectrum monitor. While collecting data, the environmental parameters provided by the five-element meteorological sensor 7, including temperature, humidity, wind speed, wind direction and air pressure, are monitored and recorded in real time; the data is saved by the data acquisition system for subsequent analysis and processing, and the collected spectrum data has sufficient time resolution and signal-to-noise ratio.

[0057] S4, changing environmental parameters, gas components and gas concentrations, repeating step S3, and obtaining spectral data under different conditions; Specifically, in order to study the impact of different temperatures, pressures, humidity, wind speeds, wind directions, gas components and gas concentrations on spectral monitoring data, the following transformations and sampling can be performed: (I) Univariate test: Temperature adjustment: Increase the temperature gradually from -30°C to 40°C, collect spectral data at each target temperature point (for example, adjust once every 10°C), and keep other environmental parameters unchanged to study the individual effect of temperature on spectral monitoring data.

[0058] Humidity adjustment: Increase the humidity from 50% to 100% step by step, collect spectral data at each target humidity point (for example, adjust once every 10%), and keep other variables fixed while changing only the humidity to analyze the effect of humidity alone.

[0059] Wind speed adjustment: The wind speed was gradually increased from 0.2 m / s to 20 m / s, and spectral data were collected at each target wind speed point (for example, adjusted every 0.2 m / s), ensuring that other environmental factors were stable, and exploring the single effect of wind speed on spectral data.

[0060] Wind direction adjustment: The wind direction is gradually adjusted from positive to ±45°, and spectral data is collected at each target wind direction point (for example, adjusted every 5°). At this time, other environmental conditions remain constant to analyze the impact of wind direction changes alone.

[0061] Gas components: Different types of gases (such as CH4, C2H6, C3H8, C4H10 and C6H6) were injected separately, and spectral data were collected at different concentrations of each gas (such as 10 ppm, 50 ppm, 100 ppm, etc.), while other environmental parameters remained consistent, in order to study the individual effects of different gas components and concentrations on spectral monitoring data.

[0062] (II) Multivariate experiment: Simultaneously change multiple environmental parameters such as temperature, humidity and wind speed, set different combination conditions, and collect spectral data to analyze the impact of multiple variables on spectral monitoring data.

[0063] Multivariate experiments were conducted combining different gas components and concentrations, as well as changes in environmental parameters such as temperature, humidity, wind speed and wind direction, to comprehensively explore the impact of various factors on spectral monitoring data.

[0064] S5. Compare and analyze the spectral data under different conditions and correct the data model of the spectral monitor; Specifically, MATLAB is used for data processing, spectral data under different environmental conditions are compared, and the influence of various parameters on spectral signals is analyzed. By applying statistical analysis methods, the key factors affecting the quality of spectral data are identified. Based on the relationship between spectral data and known environmental parameters, the relevant parameters in the data model are adjusted, corrected and optimized to improve the accuracy and reliability of monitoring data. Finally, the experimental results and model correction effects are recorded, and an experimental report is generated for subsequent reference and research.

[0065] Regarding the embodiments of the present invention, it should also be noted that, in the absence of conflict, the embodiments of the present invention and the features therein may be combined with each other to obtain new embodiments.

[0066] The above is only a preferred embodiment of the present invention, and does not limit the present invention in any form. The protection scope of the present invention shall be subject to the protection scope of the claims. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technician familiar with this profession can make some changes or modifications to equivalent embodiments of equivalent changes using the technical content disclosed above without departing from the scope of the technical solution of the present invention. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention still falls within the scope of the technical solution of the present invention.

Claims

1. A multi-environment test chamber for optical online monitoring data model correction, characterized in that: It comprises a cabin (1) and a controller (2), wherein the cabin (1) is provided with: A gas management system (3) for regulating the gas environment in the cabin (1); A dynamic airflow control system (4) for controlling the airflow in the cabin (1); A temperature and humidity control system (5), used to regulate the temperature and humidity in the cabin (1); A pressure regulating system (6) for regulating the air pressure in the cabin (1); and A meteorological five-element sensor (7) for real-time monitoring of the temperature, humidity, wind speed, wind direction and air pressure in the cabin (1); The gas management system (3), the dynamic airflow control system (4), the temperature and humidity control system (5), the pressure control system (6) and the meteorological five-element sensor (7) are respectively electrically connected to the controller (2); and the cabin (1) is provided with a sampling window (11).

2. The multi-environment test chamber for optical online monitoring data model correction according to claim 1, characterized in that: The gas management system (3) comprises a gas source device (31), a gas flow control valve (32) and an infrared sensor (33); the gas source device (31) is used to input experimental gas into the cabin (1), and the gas flow control valve (32) is connected between the gas source device (31) and the cabin (1); the infrared sensor (33) is used to monitor the gas concentration in the cabin (1); the gas source device (31), the gas flow control valve (32) and the infrared sensor (33) are respectively electrically connected to the controller (2).

3. The multi-environment test chamber for optical online monitoring data model correction according to claim 1, characterized in that: The dynamic airflow control system (4) comprises a first fan (41), a second fan (42) and a flow guide (43); the first fan (41) is used to adjust the wind speed of the airflow in the cabin (1); the second fan (42) and the flow guide (43) are arranged in the cabin (1) and are used to adjust the wind direction of the airflow in the cabin (1); the first fan (41), the second fan (42) and the flow guide (43) are respectively electrically connected to the controller (2).

4. The multi-environment test chamber for optical online monitoring data model correction according to claim 1, characterized in that: The temperature and humidity control system (5) comprises a temperature controller (51), a circulating cooling and heating jacket (52), a humidity controller (53) and a temperature and humidity sensor (54); the circulating cooling and heating jacket (52) is arranged on the inner wall of the cabin (1), the temperature controller (51) is connected to the circulating cooling and heating jacket (52), and the temperature controller (51) regulates the temperature in the cabin (1) through the circulating cooling and heating jacket (52); the humidity controller (53) is used to regulate the humidity in the cabin (1); the temperature and humidity sensor (54) is arranged in the cabin (1); the temperature controller (51), the humidity controller (53) and the temperature and humidity sensor (54) are respectively electrically connected to the controller (2).

5. The multi-environment test chamber for optical online monitoring data model correction according to claim 1, characterized in that: The pressure control system (6) comprises an air compressor (61), a vacuum pump (62) and a pressure sensor (63); the air compressor (61) and the vacuum pump (62) are respectively connected to the interior of the cabin (1); the pressure sensor (63) is arranged in the cabin (1); the air compressor (61), the vacuum pump (62) and the pressure sensor (63) are respectively electrically connected to the controller (2).

6. The multi-environment test chamber for optical online monitoring data model correction according to claim 5, characterized in that: The multi-environment test chamber further comprises a gas exhaust device (8), and the vacuum pump (62) is connected to the gas exhaust device (8).

7. The multi-environment test chamber for optical online monitoring data model correction according to claim 1, characterized in that: The cabin body (1) further comprises a cabin door (12), and a sealing ring is provided on the cabin door (12).

8. The multi-environment test chamber for optical online monitoring data model correction according to claim 1, characterized in that: The sampling window (11) is made of an optical glass material with high light transmittance, and an anti-fog and anti-reflection coating is provided on its surface.

9. The multi-environment test chamber for optical online monitoring data model correction according to claim 1, characterized in that: The controller (2) uses a PID algorithm for regulation and control. The PID algorithm includes the following formula: ; Where u(t) is the output of the controller (2), e(t) is the current error, Kp is the proportional coefficient, Ki is the integral coefficient, and Kd is the differential coefficient.

10. A method for correcting an optical online monitoring data model using the multi-environment test chamber as claimed in any one of claims 1 to 9, characterized in that: The following steps are involved: S1. Set and calibrate the environmental parameters in the cabin; S2, injecting target gas into the cabin and controlling the wind speed and direction of the gas flow; S3, after the environmental parameters are stable, collect spectral data and record the environmental parameters in real time; S4, changing environmental parameters, gas components and gas concentrations, repeating step S3, and obtaining spectral data under different conditions; S5. Correct the data model of the spectrum monitor according to the spectrum data under different conditions.

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