Integrated test system based on multi-gas simulation generation device

Abstract

The invention discloses an integrated testing system based on a multi-gas simulation generation device, and belongs to the technical field of gas testing. According to the method, the problem that a gas simulation test scheme is difficult to carry out due to many problems existing in an existing method is solved, and the operating parameter threshold values suitable for the gas simulation generation device under different gases are obtained by establishing the neural network model, so that the gas simulation generation device can be operated conveniently during gas simulation test. The currently operated parameters can be automatically adjusted according to the operating parameter threshold, so that the accuracy of the simulation result of the gas simulation generation device is ensured, the simulation test failure caused by uncomfortable parameter adjustment is avoided, and the success rate of the simulation test is improved; by presetting critical values of concentrations, pressures and temperatures of different gases, abnormity monitoring can be carried out on the characteristics of the gases in real time in the simulation test process, and if the concentrations, the pressures or the temperatures of the gases are abnormal, early warning prompt can be carried out on the man-machine interaction terminal in time, so that the safety of gas simulation is ensured, and accidents are prevented.

Description

Technical Field

[0001] The present invention relates to the technical field of gas testing, and in particular to an integrated testing system based on multiple gas simulation generating devices. Background Art

[0002] Currently, many industries need to use gas simulators to test the performance and safety of their products or systems; a multi-gas simulation generator is a device that can generate multiple gases at the same time, mainly used in chemical experiments, environmental simulation and industrial applications; it includes three types: gas generation, liquid generation and solid generation, which can simulate the concentration of multiple gas components and is used for catalytic reactions, adsorption reactions and other experiments; multi-gas simulation refers to the process of simulating the behavior of multiple gases in a specific environment. This process usually involves comprehensive consideration of multiple physical and chemical processes such as gas flow, heat transfer, and chemical reactions; for example: the public fire protection industry often uses gas simulation generators to simulate the impact of gases under different conditions, simulating the behavior and interaction of different gases in the atmosphere, which can better assess their impact on the environment and human health, and provide a scientific basis for the formulation of effective governance measures.

[0003] In the prior art, traditional testing methods have many problems, such as long testing time, high cost, and many consumables, which make it difficult to carry out gas simulation testing programs.

[0004] Therefore, the existing needs are not met, and we propose an integrated testing system based on a variety of gas simulation generating devices. Summary of the invention

[0005] The purpose of the present invention is to provide an integrated testing system based on a variety of gas simulation generating devices. By establishing a neural network model, the appropriate operating parameter thresholds of the gas simulation generating device under different gases are obtained, so that when performing a gas simulation test, the currently running parameters can be automatically adjusted with reference to the operating parameter thresholds, thereby ensuring the accuracy of the simulation results of the gas simulation generating device, avoiding the failure of the simulation test due to inappropriate parameter adjustment, and improving the success rate of the simulation test; by pre-setting the critical values ​​of the concentration, pressure and temperature of different gases, the abnormal characteristics of the gas can be monitored in real time during the simulation test. If there is an abnormality in the concentration, pressure or temperature of the gas, an early warning prompt can be given to the human-computer interaction terminal in time, thereby ensuring the safety of gas simulation, preventing accidents, and solving the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] An integrated test system based on a variety of gas simulation generators, including:

[0008] The gas generating unit is a gas simulation generating device placed in the test area to generate one or more gases with specific physical and chemical properties; it can more comprehensively simulate the actual gas environment and reduce the test time and cost;

[0009] The gas detection unit is a gas sensor placed in the test area to detect the physical and chemical properties of the gas generated by the gas simulation generating device and provide real-time feedback to the abnormal warning unit; the physical and chemical properties include: gas concentration, pressure and temperature parameters;

[0010] The threshold acquisition unit is used to collect the historical operating parameters of the gas simulation generating device and the parameters of the output gas as historical parameter samples; and to construct a neural network model, train and test the model using the historical parameter samples, and obtain the operating parameter thresholds of the gas simulation generating device under different gases;

[0011] An automatic adjustment unit, used to automatically adjust various operating parameters of the gas simulation generating device according to the operating parameters of the gas simulation generating device and the operating parameter thresholds of the gas simulation generating device under different gases;

[0012] The abnormal warning unit is used to set the critical values ​​of concentration, pressure and temperature of different gases respectively, and to verify the abnormality of the real-time gas data obtained by the abnormal warning unit. If any one or more of the physical and chemical properties of the gas exceeds the corresponding critical value, an alarm prompt is given to the human-computer interaction terminal in a timely manner;

[0013] The data feedback unit is used to feed back the gas detection results to the human-computer interaction terminal in real time, and store and encrypt the results in time sequence;

[0014] The human-computer interaction unit is used to display the gas detection process and results in real time and manage user permissions.

[0015] Furthermore, it also includes:

[0016] The parameter transmission unit is used to transmit the operating parameters of the gas simulation generating device and the parameters of the output gas to the automatic adjustment unit and the abnormal warning unit in real time for automatic adjustment and early warning detection.

[0017] Furthermore, the threshold value acquisition unit includes:

[0018] A sample collection module is used to collect the operating parameters of the gas simulation generating device under different gases as historical parameter samples, and to clean and pre-process the historical parameter samples to remove erroneous data and duplicate data;

[0019] The sample division module is used to divide the historical parameter samples into multiple training sets and test sets according to gas properties. The training sets are used to train the neural network model, and the test sets are used to verify the accuracy of the output of the neural network model.

[0020] Furthermore, the threshold value acquisition unit further includes:

[0021] The model building module is used to build a neural network model, select training set and test set samples of multiple gases, and import the samples into the neural network model in turn for training and testing, so as to obtain the operating parameter thresholds of the gas simulation generating device under multiple gases;

[0022] The model iteration module is used to continuously collect the operating parameters of the gas simulation generating device under various gases, and iteratively update the neural network model according to the new parameter samples to obtain a continuously optimized neural network model.

[0023] Furthermore, the automatic adjustment unit includes:

[0024] A parameter receiving module is used to receive the operating parameters of the gas simulation generating device and store the parameters to form a parameter database;

[0025] The parameter comparison module is used to determine the properties of the gas currently detected by the gas simulation generating device, and compare the real-time operating parameters of the gas simulation generating device with the operating parameter threshold of the gas simulation generating device under the same gas to obtain the current operating status of the gas simulation generating device;

[0026] The remote control module is used to remotely adjust the operating parameters of the gas simulation generating device according to the comparison results.

[0027] Furthermore, the parameter comparison module includes:

[0028] The command transceiver module is used to determine whether the current operating state of the gas simulation generating device is abnormal after obtaining the operating state of the current gas simulation generating device. If so, a parameter adjustment command is sent to the remote control module; if not, no command needs to be sent;

[0029] The state feedback module is used to continue collecting and comparing the operating parameters of the gas simulation generating device after the operating parameters of the gas simulation generating device are remotely adjusted, and to feed back the comparison results until the operating parameters of the gas simulation generating device are in a normal state.

[0030] Furthermore, the abnormal warning unit includes:

[0031] The critical value setting module is used to collect the gas parameters output by different gases under the normal operation of the gas simulation generating device, and after cleaning and preprocessing the parameter data, use the average value method to obtain the concentration critical value, pressure critical value and temperature critical value of different gases;

[0032] The critical value comparison module is used to compare the concentration, pressure and temperature parameters of different gases obtained in real time with the corresponding critical values ​​to obtain the test status of the current gas;

[0033] The abnormal screening module is used to screen the abnormality of the current gas test status, screen out any one or more of the physical and chemical properties that exceed the critical value, and provide timely feedback to the human-computer interaction terminal.

[0034] Furthermore, the data feedback unit includes:

[0035] Real-time feedback module, used to timely feed back gas detection results to the human-computer interaction terminal for display through wireless communication technology;

[0036] A data storage module, used to store the gas detection results and the operating parameters of the gas simulation generating device in time sequence to form a gas test database;

[0037] The data encryption module is used to encrypt the gas test database using a symmetric key method.

[0038] Furthermore, the human-computer interaction unit includes:

[0039] The result display module is a workstation display screen used to display the process and results of the gas simulation test in real time and provide an operation interface for the user end;

[0040] The early warning display module is a workstation buzzer, which is used to issue an alarm sound in time when there is an abnormality in the gas parameters output by the gas simulation generating device.

[0041] Furthermore, the human-computer interaction unit further includes:

[0042] User management module, used to authorize system usage rights to designated users;

[0043] The authorization verification module is used to use a dedicated account and key to verify whether the user has the right to use the system.

[0044] Compared with the prior art, the present invention has the following beneficial effects:

[0045] 1. The present invention establishes a neural network model to exercise the gas simulation generating device under different gases, and obtains the operating parameter thresholds suitable for the gas simulation generating device under different gases, so that when performing a gas simulation test, the operating parameter thresholds of different gases can be referred to to perform remote and automatic adjustment on the currently operating parameters, thereby ensuring the accuracy of the simulation results of the gas simulation generating device and reducing the simulation error rate; at the same time, avoiding inappropriate parameter adjustment that causes simulation failure, and improving the success rate of the simulation.

[0046] 2. The present invention can monitor the abnormal characteristics of the gas in real time during the simulation test by presetting the critical values ​​of the concentration, pressure and temperature of different gases. If there is an abnormality in the concentration, pressure or temperature of the gas, an early warning prompt can be given to the human-computer interaction terminal in time, thereby ensuring the safety of the gas simulation and preventing accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 This is a composition diagram of the integrated test system based on multiple gas simulation generating devices of the present invention. DETAILED DESCRIPTION

[0048] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings 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.

[0049] In order to solve the technical problems that the traditional testing methods have in the current technology, such as long testing time, high cost, and many consumables, which make it difficult to carry out the gas simulation test program, please refer to Figure 1 , this embodiment provides the following technical solutions:

[0050] An integrated test system based on a variety of gas simulation generators, including:

[0051] The gas generating unit is a gas simulation generating device placed in the test area to generate one or more gases with specific physical and chemical properties; it can more comprehensively simulate the actual gas environment and reduce test time and cost.

[0052] In this embodiment, for example, a public fire department needs to use a gas simulation generator to test whether there is any abnormality in the fire extinguishing system. The gas simulation generator and the gas sensor are respectively arranged in their respective test areas, and the test area is equipped with a fire extinguishing system. Carbon monoxide gas is generated by the gas simulation generator to simulate carbon monoxide at a fire scene.

[0053] The gas detection unit is a gas sensor placed in the test area, and is used to detect the physical and chemical properties of the gas generated by the gas simulation generating device, and to provide real-time feedback to the abnormal warning unit; the physical and chemical properties include: gas concentration, pressure and temperature parameters; following the above embodiment, such as: after the gas sensor and the gas simulation generating device are arranged in the test area, the concentration, pressure and temperature parameters of the carbon monoxide gas in the test area are monitored in real time by the gas sensor, such as: the concentration of carbon monoxide gas is monitored to be 400ppm, the pressure is 1.1MPa and the temperature is 500℃, and the above data is fed back to the abnormal warning unit in real time.

[0054] The parameter transmission unit is used to transmit the operating parameters of the gas simulation generating device and the parameters of the output gas to the automatic adjustment unit and the abnormal warning unit in real time for automatic adjustment and early warning detection.

[0055] The threshold acquisition unit is used to collect the historical operating parameters of the gas simulation generating device and the parameters of the output gas as historical parameter samples; and to construct a neural network model, and to train and test the model using the historical parameter samples to obtain the operating parameter thresholds of the gas simulation generating device under different gases; the threshold acquisition unit includes:

[0056] The sample collection module is used to collect the operating parameters of the gas simulation generating device under different gases as historical parameter samples, and to clean and preprocess the historical parameter samples to eliminate erroneous data and duplicate data; specifically, by obtaining the previous operating parameters of the gas simulation generating device as a basis, it is cleaned to obtain parameter samples with a higher accuracy rate, thereby ensuring the accuracy of the neural network model training.

[0057] The sample division module is used to divide the historical parameter samples into multiple training sets and test sets according to the gas properties. The training set is used to train the neural network model, and the test set is used to verify the accuracy of the output of the neural network model. Specifically, due to the different gas properties, the operating parameters of the gas simulation generating device are also different. Therefore, by dividing the historical parameter samples according to the gas properties, the validity of the parameter samples is ensured, and then the operating parameters of different gases can be exercised respectively through the neural network model, so as to obtain the appropriate operating parameter thresholds for the gas simulation generating device under different gases. At the same time, in order to ensure the effectiveness of the neural network model training, the training set and the test set can be divided into 30% and 70% respectively, and the neural network model is trained with the training set to establish the feature layer of the model. Then, the test set is used to verify the results of the neural network model, so as to ensure the accuracy of the neural network model exercise, and then ensure the reference value of the operating parameter threshold.

[0058] A model building module is used to construct a neural network model, select training set and test set samples of multiple gases, and import the samples into the neural network model in turn for training and testing, so as to obtain the operating parameter thresholds of the gas simulation generating device under multiple gases; following the above embodiment, such as: the current simulated environment is a fire scene, and the gas simulation generating device needs to produce a certain amount of carbon monoxide; by selecting parameter samples belonging to carbon monoxide to train and test the neural network model, the operating parameters of the gas simulation generating device in the simulated fire scene are obtained to be 2.2MPa to 1.8MPa, wherein the high-pressure alarm pressure setting value is 2.2MPa, and the low-pressure alarm pressure setting value is 1.8MPa, thereby using the above two data as the operating parameter thresholds of the current gas simulation generating device.

[0059] The model iteration module is used to continuously collect the operating parameters of the gas simulation generating device under various gases, and iteratively update the neural network model according to the new parameter samples to obtain a continuously optimized neural network model; specifically, through iterative updating, the neural network model can show higher adaptability and robustness when facing new data or new tasks; with the continuous accumulation of data and the emergence of new data, the neural network model needs to adapt to these changes through iterative updating to ensure that the neural network model can still show good performance on the new data set; by iteratively adjusting the parameters and structure of the neural network model, the problems of overfitting and underfitting can be effectively avoided, so that the neural network model can obtain better results on both the training set and the test set.

[0060] The automatic adjustment unit is used to automatically adjust various operating parameters of the gas simulation generating device according to the operating parameters of the gas simulation generating device and the operating parameter thresholds of the gas simulation generating device under different gases; the automatic adjustment unit includes:

[0061] The parameter receiving module is used to receive the operating parameters of the gas simulation generating device and store the parameters to form a parameter database; specifically, by receiving the operating parameters of the gas simulation generating device, it is convenient to determine whether there is any abnormality in the current operating state of the gas simulation generating device, so as to ensure whether the gas simulation test program can continue; secondly, the parameters are stored so that later users can view the required data in real time, and at the same time provide data support for optimizing the neural network model.

[0062] The parameter comparison module is used to determine the properties of the gas currently detected by the gas simulation generating device, and compare the real-time operating parameters of the gas simulation generating device with the operating parameter thresholds of the gas simulation generating device under the same gas to obtain the current operating state of the gas simulation generating device; following the above embodiment, such as: through the neural network model, it is concluded that the high-pressure alarm pressure setting value of the current gas simulation generating device is 2.2MPa, and the low-pressure alarm pressure setting value is 1.8MPa, such as: the real-time operating parameters obtained are the high-pressure alarm pressure setting value of 2.1MPa, and the low-pressure alarm pressure setting value of 1.7MPa, which are compared with the corresponding thresholds, and it is concluded that the current operating state of the gas simulation generating device is normal and does not exceed the preset threshold range; for example: the real-time operating parameters obtained are the high-pressure alarm pressure setting value of 2.5MPa, and the low-pressure alarm pressure setting value of 2.0MPa, which are compared with the corresponding thresholds, and it is concluded that the operating state of the current gas simulation generating device is abnormal.

[0063] Parameter comparison module, including:

[0064] The instruction receiving and sending module is used to determine whether there is any abnormality in the operating status of the current gas simulation generating device after obtaining the operating status of the current gas simulation generating device. If so, a parameter adjustment instruction is sent to the remote control module; if not, there is no need to send an instruction; following the above embodiment, such as: when the real-time operating parameters are the high-pressure alarm pressure setting value of 2.5MPa and the low-pressure alarm pressure setting value of 2.0MPa, it is determined that the operating status of the current gas simulation generating device is normal and no relevant instructions need to be issued; when the real-time operating parameters are the high-pressure alarm pressure setting value of 2.5MPa and the low-pressure alarm pressure setting value of 2.0MPa, it is determined that there is an abnormality in the operating status of the current gas simulation generating device, and the operating parameters of the gas simulation generating device need to be adjusted immediately to prevent the failure of the gas simulation test.

[0065] The state feedback module is used to continue to collect and compare the operating parameters of the gas simulation generating device after the operating parameters of the gas simulation generating device are remotely adjusted, and to feed back the comparison results until the operating parameters of the gas simulation generating device are in a normal state; specifically, after adjusting the operating parameters of the gas simulation generating device to within a threshold range, continue to collect its operating parameters, and if the operating parameters of the gas simulation generating device continue to increase, immediately feedback and adjust again until the operating parameters of the gas simulation generating device meet the normal threshold range; when the operating parameters of the gas simulation generating device have been stably maintained within the threshold range after adjusting its operating parameters, the current monitoring state is maintained without the need for feedback adjustment.

[0066] The remote control module is used to remotely adjust the operating parameters of the gas simulation generating device according to the comparison results; specifically, the remote control module remotely controls the gas simulation generating device based on the workstation display screen in the human-computer interaction terminal, thereby reducing the occurrence of man-made accidents and improving the safety of the gas simulation test program.

[0067] The abnormal warning unit is used to set the critical values ​​of concentration, pressure and temperature of different gases respectively, and to verify the abnormality of the real-time gas data obtained by the abnormal warning unit. If any one or more of the physical and chemical properties of the gas exceeds the corresponding critical value, an alarm prompt is given to the human-computer interaction terminal in time; the abnormal warning unit includes:

[0068] The critical value setting module is used to collect the gas parameters output by different gases under normal operating conditions of the gas simulation generating device, and after cleaning and preprocessing the parameter data, the concentration critical value, pressure critical value and temperature critical value of different gases are obtained by the average value method; following the above embodiment, for example: a public fire department needs to use a gas simulation generating device to test whether there is an abnormality in the fire extinguishing system, obtain the simulation data of the gas concentration, pressure and temperature output by the gas simulation generating device in the simulation project, and obtain the critical values ​​of carbon monoxide concentration, pressure and temperature that can be tolerated in the current project after processing this part of the data, such as: the concentration critical value of carbon monoxide gas is 500ppm, the pressure critical value is 1.3MPa and the temperature critical value is 800℃.

[0069] The critical value comparison module is used to compare the concentration, pressure and temperature parameters of different gases obtained in real time with the corresponding critical values ​​to obtain the current gas test status; following the above embodiment, such as: the current carbon monoxide gas concentration is monitored by the gas sensor to be 400ppm, the pressure is 1.1MPa and the temperature is 500℃. Through comparison, it is known that in the current simulation project, the carbon monoxide parameters output by the gas simulation generator are all within the preset range, indicating that the current simulation scheme is not dangerous and the test can continue; another example: such as: the current carbon monoxide gas concentration is monitored by the gas sensor to be 500ppm , pressure 1.3MPa and temperature 850℃. Through comparison, it is known that in the current simulation project, the carbon monoxide concentration, pressure and temperature output by the gas simulation generator are beyond the preset range, indicating that the current simulation scheme is dangerous and the test project needs to be suspended. The operating parameters of the gas simulation generator should be closed or adjusted according to the on-site conditions. If the operating parameters can be changed normally, the operating parameters of the gas simulation generator should be modified first and then the on-site gas conditions should be observed. If the gas simulation generator fails and cannot be modified, the gas simulation generator should be suspended immediately and corresponding fire-fighting measures should be taken to avoid accidents.

[0070] The abnormal screening module is used to screen the abnormalities of the current gas test status, screen out any one or more of the physical and chemical properties that exceed the critical value, and promptly feed back to the human-computer interaction terminal so that the human-computer interaction terminal can understand the simulation test process in real time and control the global timing to make adjustments.

[0071] The data feedback unit is used to feed back the gas detection results to the human-computer interaction terminal in real time, and store and encrypt the results in time sequence; the data feedback unit includes:

[0072] The real-time feedback module is used to timely feed back the gas detection results to the human-computer interaction terminal for display through wireless communication technology; specifically, the data is fed back to the workstation for display, so as to provide users with a good interactive screen and ensure that users can grasp the progress of the simulation in real time.

[0073] The data storage module is used to store the gas detection results and the operating parameters of the gas simulation generating device in time sequence to form a gas test database; the data encryption module is used to encrypt the gas test database using a symmetric key method; specifically, by encrypting and saving the data and forming a database, the confidentiality and security of data storage are enhanced to prevent non-user personnel from arbitrarily accessing the database and causing data loss or damage.

[0074] The human-computer interaction unit is used to display the gas detection process and results in real time and manage user permissions; the human-computer interaction unit includes:

[0075] The result display module is a workstation display screen, which is used to display the process and results of the gas simulation test in real time and provide an operation interface for the user. Specifically, the human-computer interaction function is realized through the workstation display screen, so that the user can remotely control and direct the progress of the test project, while reducing the number of on-site personnel and minimizing the problem of accidental casualties.

[0076] The early warning display module is a workstation buzzer, which is used to promptly issue an alarm sound when there is an abnormality in the gas parameters output by the gas simulation generating device; specifically, during the simulation process, as described in the embodiment, when there is an abnormality in the carbon monoxide concentration or any data, a warning prompt is promptly issued at the workstation to remind users on site to check the cause and solve the problem in time, thereby ensuring the orderly progress of the simulation project.

[0077] The user management module is used to authorize system usage rights to designated users to prevent non-users from logging in and accessing the system at will, causing internal data loss and affecting the progress of simulation projects;

[0078] The authorization verification module is used to use a dedicated account and key to verify whether the user has the right to use the system. Specifically, the user obtains the permission to log in to the system based on the preset dedicated account and key, and continues to have the right to use the system, preventing irrelevant personnel from viewing the system content at will, thereby increasing the security of the system and the confidentiality of internal data.

[0079] The beneficial effects achieved by the above content are as follows: by establishing a neural network model to drill the gas simulation generating device under different gases, the appropriate operating parameter thresholds of the gas simulation generating device under different gases are obtained, so that when conducting gas simulation tests, the operating parameter thresholds of different gases can be referred to for remote and automatic adjustment of the currently operating parameters, thereby ensuring the accuracy of the simulation results of the gas simulation generating device and reducing the simulation error rate; at the same time, avoiding inappropriate parameter adjustment and causing simulation failure, thereby improving the success rate of the simulation; secondly, by presetting the critical values ​​of the concentration, pressure and temperature of different gases, the abnormal characteristics of the gas can be monitored in real time during the simulation test. If there is an abnormality in the concentration, pressure or temperature of the gas, an early warning prompt can be given to the human-computer interaction terminal in time, thereby ensuring the safety of gas simulation and preventing accidents.

[0080] Working principle: By establishing a neural network model, the appropriate operating parameter thresholds of the gas simulation generator under different gases are obtained, so that when conducting a gas simulation test, the current operating parameters can be automatically adjusted with reference to the operating parameter thresholds, thereby ensuring the accuracy of the simulation results of the gas simulation generator, avoiding the failure of the simulation test due to inappropriate parameter adjustment, and improving the success rate of the simulation test; by presetting the critical values ​​of the concentration, pressure and temperature of different gases, the abnormal characteristics of the gas can be monitored in real time during the simulation test. If there is an abnormality in the concentration, pressure or temperature of the gas, an early warning prompt can be given to the human-computer interaction terminal in time to prevent accidents.

[0081] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0082] While the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and alterations may be made to the embodiments without departing from the principles and spirit of the invention.

Claims

1. An integrated test system based on multiple gas simulation generating devices, characterized in that: include: The gas generating unit is a gas simulation generating device placed in the test area and used to generate one or more gases with physical and chemical properties; The gas detection unit is a gas sensor placed in the test area to detect the physical and chemical properties of the gas generated by the gas simulation generating device and provide real-time feedback to the abnormal warning unit; the physical and chemical properties include: gas concentration, pressure and temperature parameters; The threshold acquisition unit is used to collect the historical operating parameters of the gas simulation generating device and the parameters of the output gas as historical parameter samples; and to construct a neural network model, train and test the model using the historical parameter samples, and obtain the operating parameter thresholds of the gas simulation generating device under different gases; An automatic adjustment unit, used to automatically adjust various operating parameters of the gas simulation generating device according to the operating parameters of the gas simulation generating device and the operating parameter thresholds of the gas simulation generating device under different gases; The abnormal warning unit is used to set the critical values ​​of concentration, pressure and temperature of different gases respectively, and to verify the abnormality of the real-time gas data obtained by the abnormal warning unit. If any one or more of the physical and chemical properties of the gas exceeds the corresponding critical value, an alarm prompt is given to the human-computer interaction terminal in a timely manner; The data feedback unit is used to feed back the gas detection results to the human-computer interaction terminal in real time, and store and encrypt the results in time sequence; The human-computer interaction unit is used to display the gas detection process and results in real time and manage user permissions.

2. The integrated test system based on multiple gas simulation generating devices according to claim 1 is characterized in that: Also includes: The parameter transmission unit is used to transmit the operating parameters of the gas simulation generating device and the parameters of the output gas to the automatic adjustment unit and the abnormal warning unit in real time for automatic adjustment and early warning detection.

3. The integrated test system based on multiple gas simulation generating devices according to claim 1, characterized in that: The threshold value acquisition unit includes: A sample collection module is used to collect the operating parameters of the gas simulation generating device under different gases as historical parameter samples, and to clean and pre-process the historical parameter samples to remove erroneous data and duplicate data; The sample division module is used to divide the historical parameter samples into multiple training sets and test sets according to gas properties. The training sets are used to train the neural network model, and the test sets are used to verify the accuracy of the output of the neural network model.

4. The integrated test system based on multiple gas simulation generating devices according to claim 3 is characterized in that: The threshold value acquisition unit further includes: The model building module is used to build a neural network model, select training set and test set samples of multiple gases, and import the samples into the neural network model in turn for training and testing, so as to obtain the operating parameter thresholds of the gas simulation generating device under multiple gases; The model iteration module is used to continuously collect the operating parameters of the gas simulation generating device under various gases, and iteratively update the neural network model according to the new parameter samples to obtain a continuously optimized neural network model.

5. The integrated test system based on multiple gas simulation generating devices according to claim 1, characterized in that: The automatic adjustment unit comprises: A parameter receiving module is used to receive the operating parameters of the gas simulation generating device and store the parameters to form a parameter database; The parameter comparison module is used to determine the properties of the gas currently detected by the gas simulation generating device, and compare the real-time operating parameters of the gas simulation generating device with the operating parameter threshold of the gas simulation generating device under the same gas to obtain the current operating status of the gas simulation generating device; The remote control module is used to remotely adjust the operating parameters of the gas simulation generating device according to the comparison results.

6. The integrated test system based on multiple gas simulation generating devices according to claim 5, characterized in that: The parameter comparison module comprises: The command transceiver module is used to determine whether the current operating state of the gas simulation generating device is abnormal after obtaining the operating state of the current gas simulation generating device. If so, a parameter adjustment command is sent to the remote control module; if not, no command needs to be sent; The state feedback module is used to continue collecting and comparing the operating parameters of the gas simulation generating device after the operating parameters of the gas simulation generating device are remotely adjusted, and to feed back the comparison results until the operating parameters of the gas simulation generating device are in a normal state.

7. The integrated test system based on multiple gas simulation generating devices according to claim 1, characterized in that: The abnormal warning unit comprises: The critical value setting module is used to collect the gas parameters output by different gases under the normal operation of the gas simulation generating device, and after cleaning and preprocessing the parameter data, use the average value method to obtain the concentration critical value, pressure critical value and temperature critical value of different gases; The critical value comparison module is used to compare the concentration, pressure and temperature parameters of different gases obtained in real time with the corresponding critical values ​​to obtain the test status of the current gas; The abnormal screening module is used to screen the abnormality of the current gas test status, screen out any one or more of the physical and chemical properties that exceed the critical value, and provide timely feedback to the human-computer interaction terminal.

8. The integrated test system based on multiple gas simulation generating devices according to claim 1, characterized in that: The data feedback unit comprises: Real-time feedback module, used to timely feed back gas detection results to the human-computer interaction terminal for display through wireless communication technology; A data storage module, used to store the gas detection results and the operating parameters of the gas simulation generating device in time sequence to form a gas test database; The data encryption module is used to encrypt the gas test database using a symmetric key method.

9. The integrated test system based on multiple gas simulation generating devices according to claim 1, characterized in that: The human-computer interaction unit comprises: The result display module is a workstation display screen used to display the process and results of the gas simulation test in real time and provide an operation interface for the user end; The early warning display module is a workstation buzzer, which is used to issue an alarm sound in time when there is an abnormality in the gas parameters output by the gas simulation generating device.

10. The integrated test system based on multiple gas simulation generating devices according to claim 9, characterized in that: The human-computer interaction unit further includes: User management module, used to authorize system usage rights to designated users; The authorization verification module is used to use the account number and key to verify whether the user has the right to use the system.

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