Method and system for measuring mixed gas of sulfur hexafluoride and nitrogen

Abstract

The invention discloses a sulfur hexafluoride and nitrogen mixed gas measuring method and system, and the system comprises a sensor module, a data collection module, a human-computer interface module, an AI intelligent module, a controller, a data storage and management module, an alarm module, a remote monitoring module, an automatic calibration module, an energy management module, and a fault diagnosis and maintenance module. According to the sulfur hexafluoride and nitrogen mixed gas measuring method and measuring system, the AI intelligent module can analyze and learn a large amount of data to improve the recognition capability of the concentration change of the sulfur hexafluoride and nitrogen mixed gas, so that the detection precision and sensitivity are improved, various types of data can be processed, and the detection accuracy is improved. Comprise sensor data, environmental parameters and the like, so that the composition and characteristics of the mixed gas are comprehensively evaluated, and the limitation of a single detection means is avoided.

Description

Technical Field

[0001] The invention relates to a mixed gas measuring method, in particular to a mixed gas measuring method and a measuring system of sulfur hexafluoride and nitrogen, belonging to the technical field of gas measurement. Background Art

[0002] Sulfur hexafluoride and nitrogen mixed gas is a common gas combination, often used for insulation and filling in power equipment. Sulfur hexafluoride is a colorless, odorless gas used as an insulating medium in the power industry, while nitrogen is often used as an inert gas or filling gas. The mixed gas is usually used to adjust the concentration of sulfur hexafluoride to meet specific process requirements or environmental standards. In some cases, mixing nitrogen into sulfur hexafluoride can reduce its impact on the environment or reduce its harm to the human body.

[0003] Traditional gas detection methods may not be sensitive enough to changes in the concentrations of sulfur hexafluoride and nitrogen in the mixed gas, resulting in low accuracy and precision of the detection results. Most detection methods only rely on a single detection method, such as chemical sensors or optical sensors, which cannot comprehensively evaluate the composition and characteristics of the mixed gas. Summary of the invention

[0004] The object of the present invention is to provide a method and system for measuring a mixture of sulfur hexafluoride and nitrogen to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions: a method and system for measuring a mixture of sulfur hexafluoride and nitrogen, comprising a sensor module, a data acquisition module, a human-machine interface module, an AI intelligent module, a controller, a data storage and management module, an alarm module, a remote monitoring module, an automatic calibration module, an energy management module, and a fault diagnosis and maintenance module. The method and system for measuring a mixture of sulfur hexafluoride and nitrogen are as follows:

[0006] Step 1: Preparation, ensure that all modules of the measurement system are operating normally and that sensors and other devices are connected;

[0007] Step 2: Start the system Start the system and ensure that each module is started normally and in working condition;

[0008] Step 3: Real-time monitoring: The sensor module monitors the concentration of sulfur hexafluoride and nitrogen in the mixed gas in real time and transmits the original data to the data acquisition module;

[0009] Step 4: Data preprocessing. After receiving the raw data, the data acquisition module performs preprocessing, including filtering, denoising and correction, to improve data quality.

[0010] Step 5: AI intelligent analysis: The pre-processed data is transmitted to the AI ​​intelligent module for data analysis and processing, including pattern recognition, data mining and predictive analysis, to obtain accurate estimation and prediction of the mixed gas concentration;

[0011] Step 6: Control and regulation: According to the analysis results of the AI ​​intelligent module, the control module adjusts the system parameters or actuators to achieve automatic control and regulation of the mixed gas concentration;

[0012] Step 7: Alarm processing: when the concentration of the mixed gas exceeds the preset alarm threshold, the alarm module will trigger an alarm and notify the operator to take appropriate measures;

[0013] Step 8: Data storage and management. The system stores the collected data in the data storage and management module and manages the data for subsequent analysis and reporting.

[0014] Step 9: Remote monitoring and operation. Users can access the system remotely through the remote monitoring module, monitor the mixed gas concentration and system operation status in real time, and perform remote operation and adjustment.

[0015] Step 10: Maintenance and troubleshooting. Regularly maintain the system, including calibrating sensors, optimizing system parameters, etc., to ensure the normal operation of the system and measurement accuracy.

[0016] As a preferred technical solution of the present invention, the sensor module is connected to the data acquisition module, the data acquisition module is connected to the data preprocessing module, the data preprocessing module and the fault diagnosis and maintenance module are connected to the AI ​​intelligent module, the AI ​​intelligent module, the alarm module and the energy management module are connected to the control module, and the automatic calibration module is connected to the sensor module.

[0017] As a preferred technical solution of the present invention, the human-machine interface module is connected to other modules, the data storage and management module is connected to other modules, and the remote monitoring module is connected to other modules.

[0018] As a preferred technical solution of the present invention, in the step 1, system parameters are set as needed, including alarm threshold and data acquisition frequency.

[0019] As a preferred technical solution of the present invention, in step three, the raw data includes the concentration data of sulfur hexafluoride and nitrogen collected by the sensor module from the environment.

[0020] As a preferred technical solution of the present invention, in step five, the characteristics of the AI ​​intelligent module training model include the concentration data of sulfur hexafluoride and nitrogen, and environmental parameters, including temperature and humidity. The selected machine learning model is trained using the training data to learn the relationship between the concentrations of sulfur hexafluoride and nitrogen, and generate a model.

[0021] As a preferred technical solution of the present invention, in step ten, the fault diagnosis and maintenance module will monitor the system status, identify the cause of the fault, and provide maintenance suggestions and remote support.

[0022] Compared with the prior art, the beneficial effects of the present invention are: a method and system for measuring a mixture of sulfur hexafluoride and nitrogen of the present invention, the AI ​​intelligent module can improve the ability to recognize changes in the concentration of the mixture of sulfur hexafluoride and nitrogen by analyzing and learning a large amount of data, thereby improving the accuracy and sensitivity of detection, and can process various types of data, including sensor data, environmental parameters, etc., so as to comprehensively evaluate the composition and characteristics of the mixed gas, avoid the limitations of a single detection method, so as to achieve rapid data processing and decision-making, improve the real-time response capability of the system, meet the needs of real-time monitoring, especially in emergency situations. DETAILED DESCRIPTION

[0023] The technical solutions in the embodiments of the present invention are described clearly and completely. 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] The present invention provides a method and system for measuring a mixture of sulfur hexafluoride and nitrogen, including a sensor module, a data acquisition module, a human-machine interface module, an AI intelligent module, a controller, a data storage and management module, an alarm module, a remote monitoring module, an automatic calibration module, an energy management module, and a fault diagnosis and maintenance module. The method and system for measuring a mixture of sulfur hexafluoride and nitrogen are as follows:

[0025] Step 1: Preparation, ensure that all modules of the measurement system are operating normally and that sensors and other devices are connected;

[0026] Step 2: Start the system Start the system and ensure that each module is started normally and in working condition;

[0027] Step 3: Real-time monitoring: The sensor module monitors the concentration of sulfur hexafluoride and nitrogen in the mixed gas in real time and transmits the original data to the data acquisition module;

[0028] Step 4: Data preprocessing. After receiving the raw data, the data acquisition module performs preprocessing, including filtering, denoising and correction, to improve data quality.

[0029] Step 5: AI intelligent analysis: The pre-processed data is transmitted to the AI ​​intelligent module for data analysis and processing, including pattern recognition, data mining and predictive analysis, to obtain accurate estimation and prediction of the mixed gas concentration;

[0030] Step 6: Control and regulation: According to the analysis results of the AI ​​intelligent module, the control module adjusts the system parameters or actuators to achieve automatic control and regulation of the mixed gas concentration;

[0031] Step 7: Alarm processing: when the concentration of the mixed gas exceeds the preset alarm threshold, the alarm module will trigger an alarm and notify the operator to take appropriate measures;

[0032] Step 8: Data storage and management. The system stores the collected data in the data storage and management module and manages the data for subsequent analysis and reporting.

[0033] Step 9: Remote monitoring and operation. Users can access the system remotely through the remote monitoring module, monitor the mixed gas concentration and system operation status in real time, and perform remote operation and adjustment.

[0034] Step 10: Maintenance and troubleshooting. Regularly maintain the system, including calibrating sensors, optimizing system parameters, etc., to ensure the normal operation of the system and measurement accuracy.

[0035] Preferably, the sensor module is connected to the data acquisition module, the data acquisition module is connected to the data preprocessing module, the data preprocessing module and the fault diagnosis and maintenance module are connected to the AI ​​intelligent module, the AI ​​intelligent module, the alarm module and the energy management module are connected to the control module, and the automatic calibration module is connected to the sensor module.

[0036] Preferably, the human-machine interface module is connected to other modules, the data storage and management module is connected to other modules, and the remote monitoring module is connected to other modules.

[0037] Preferably, in step one, system parameters are set as needed, including alarm thresholds and data acquisition frequency.

[0038] Preferably, in step three, the raw data includes concentration data of sulfur hexafluoride and nitrogen collected by the sensor module from the environment.

[0039] Preferably, in step five, the characteristics of the AI ​​intelligent module training model include concentration data of sulfur hexafluoride and nitrogen, and environmental parameters, including temperature and humidity, and the selected machine learning model is trained using the training data to learn the relationship between sulfur hexafluoride and nitrogen concentrations and generate a model.

[0040] Preferably, in step ten, the fault diagnosis and maintenance module will monitor the system status, identify the cause of the fault, and provide maintenance suggestions and remote support.

[0041] Although 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 variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for measuring a mixture of sulfur hexafluoride and nitrogen, comprising a sensor module, a data acquisition module, a human-machine interface module, an AI intelligent module, a controller, a data storage and management module, an alarm module, a remote monitoring module, an automatic calibration module, an energy management module and a fault diagnosis and maintenance module, characterized in that: The sulfur hexafluoride and nitrogen mixed gas measurement method and the measurement method steps are as follows: Step 1: Preparation, ensure that all modules of the measurement system are operating normally and that sensors and other devices are connected; Step 2: Start the system Start the system and ensure that each module is started normally and in working condition; Step 3: Real-time monitoring: The sensor module monitors the concentration of sulfur hexafluoride and nitrogen in the mixed gas in real time and transmits the original data to the data acquisition module; Step 4: Data preprocessing. After receiving the raw data, the data acquisition module performs preprocessing, including filtering, denoising and correction, to improve data quality. Step 5: AI intelligent analysis: The pre-processed data is transmitted to the AI ​​intelligent module for data analysis and processing, including pattern recognition, data mining and predictive analysis, to obtain accurate estimation and prediction of the mixed gas concentration; Step 6: Control and regulation: According to the analysis results of the AI ​​intelligent module, the control module adjusts the system parameters or actuators to achieve automatic control and regulation of the mixed gas concentration; Step 7: Alarm processing: when the concentration of the mixed gas exceeds the preset alarm threshold, the alarm module will trigger an alarm and notify the operator to take appropriate measures; Step 8: Data storage and management. The system stores the collected data in the data storage and management module and manages the data for subsequent analysis and reporting. Step 9: Remote monitoring and operation. Users can access the system remotely through the remote monitoring module, monitor the mixed gas concentration and system operation status in real time, and perform remote operation and adjustment. Step 10: Maintenance and troubleshooting. Regularly maintain the system, including calibrating sensors, optimizing system parameters, etc., to ensure the normal operation of the system and measurement accuracy.

2. A sulfur hexafluoride and nitrogen mixed gas measurement system according to claim 1, characterized in that: The sensor module is connected to the data acquisition module, the data acquisition module is connected to the data preprocessing module, the data preprocessing module and the fault diagnosis and maintenance module are connected to the AI ​​intelligent module, the AI ​​intelligent module, the alarm module and the energy management module are connected to the control module, and the automatic calibration module is connected to the sensor module.

3. A method and system for measuring a sulfur hexafluoride and nitrogen mixed gas according to claim 2, characterized in that: The human-machine interface module is connected to other modules, the data storage and management module is connected to other modules, and the remote monitoring module is connected to other modules.

4. A method and system for measuring a sulfur hexafluoride and nitrogen mixed gas according to claim 1, characterized in that: In the step 1, system parameters are set as needed, including alarm threshold and data acquisition frequency.

5. A method and system for measuring a sulfur hexafluoride and nitrogen mixed gas according to claim 1, characterized in that: In the step three, the raw data includes the concentration data of sulfur hexafluoride and nitrogen collected by the sensor module from the environment.

6. A method and system for measuring a sulfur hexafluoride and nitrogen mixed gas according to claim 1, characterized in that: In step five, the AI ​​intelligent module trains the model's features, including the concentration data of sulfur hexafluoride and nitrogen, and environmental parameters, including temperature and humidity, and uses the training data to train the selected machine learning model to learn the relationship between sulfur hexafluoride and nitrogen concentrations and generate a model.

7. A method and system for measuring a sulfur hexafluoride and nitrogen mixed gas according to claim 1, characterized in that: In step ten, the fault diagnosis and maintenance module will monitor the system status, identify the cause of the fault, and provide maintenance suggestions and remote support.