Special gas conveying leakage monitoring system
By combining high-precision micro detection and automated emergency treatment modules in the special gas delivery leakage monitoring system, the problem that traditional systems cannot achieve high sensitivity detection and automated early warning is solved, and accurate monitoring and safety guarantee of special gas is achieved to ensure the production environment stability.
Patent Information
- Application Number
- CN202411641303.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-18
- Publication Date
- 2025-01-14
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Traditional gas leakage monitoring systems cannot achieve high-sensitivity micro-detection, and lack automated early warning and emergency response capabilities, which poses safety hazards and inefficiency problems.
A special gas delivery leakage monitoring system was designed, including a high-precision micro detection module, a real-time display and early warning module, an automatic isolation and emergency treatment module and a data recording and evaluation module. A high-sensitivity sensor is used to realize micro detection, display and issue early warnings in real time. , automatically perform emergency treatment and record and analyze data.
It realizes accurate real-time monitoring and timely early warning of special gas, reduces leakage and spread, ensures safety of the production environment, and provides data support for system optimization and maintenance.
Smart Images
Figure CN119309156A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of special gas monitoring, and in particular to a special gas transmission leakage monitoring system. Background Art
[0002] In the chemical, electric power, and semiconductor industries, the widespread use of specific chemical gases has brought challenges to gas transportation and storage. Since these gases are usually flammable, explosive, and toxic, once a leak occurs, it will not only pollute the environment, but also pose a threat to the health of workers and even cause safety accidents. Therefore, monitoring and early warning of special gas transportation has become an issue that needs to be urgently addressed.
[0003] However, traditional gas leakage monitoring systems usually use a single sensor to detect gas concentration, but due to the limitation of sensor sensitivity, it is often impossible to accurately detect trace gas leaks. In addition, traditional gas leakage monitoring systems also have certain shortcomings in early warning and emergency response. On the one hand, traditional monitoring systems usually require manual monitoring and cannot issue early warning signals in real time and automatically. On the other hand, when a gas leak occurs, traditional monitoring systems often require manual emergency response, which is not only inefficient, but also increases the safety risks of staff.
[0004] Therefore, how to build a special gas transmission leakage monitoring system based on high-precision trace detection technology and automatic isolation and early warning has become an important direction of current special gas monitoring. However, most of the special gas transmission leakage monitoring systems on the market can only meet some of the requirements of the above characteristics and cannot achieve trace detection of specific chemical gases through high-sensitivity sensors. Therefore, it is of great significance to develop a special gas transmission leakage monitoring system that can comprehensively realize the above characteristics. Summary of the invention
[0005] The purpose of the present invention is to make up for the shortcomings of the prior art and to provide a special gas transmission leakage monitoring system. It can adopt gas detection technology through a high-precision trace detection module, realize trace detection of special gases through a high-sensitivity sensor, and issue an early warning when it exceeds the standard. At the same time, it can automatically execute emergency treatment measures to reduce the spread of leakage, and provide data support for the long-term operation and maintenance of the system through a data recording and evaluation module.
[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a special gas transmission leakage monitoring system, the system comprises the following components:
[0007] High-precision trace detection module: adopts gas detection technology and realizes trace detection of special gases through high-sensitivity sensors;
[0008] Real-time display and warning module: connected to the high-precision trace detection module, it displays the gas concentration data in real time and immediately issues a warning signal when the gas concentration exceeds the preset threshold. The warning signal is presented in the form of sound and light alarm and LED indicator light;
[0009] Automatic isolation and emergency treatment module: After receiving the early warning signal, it automatically executes a series of emergency treatment measures, including closing relevant valves and starting the emergency ventilation system to isolate the leakage source and reduce the spread of the leakage;
[0010] Data recording and evaluation module: responsible for recording key information of gas concentration data and early warning records, allowing users to query and analyze historical data, and evaluate leakage trends based on historical data to provide reference for future prevention and maintenance.
[0011] Furthermore, the high-precision trace detection module starts working after the system is powered on, and the sensor starts to detect the concentration of special gases in the environment and continuously monitors it. The signal output by the sensor is amplified and digitized by the signal amplification and processing unit in the module to ensure the accuracy and reliability of the data. The processed data is transmitted to the real-time display and early warning module for subsequent processing.
[0012] Furthermore, the high-precision trace detection module uses a gas concentration detection algorithm based on the Beer-Lambert law to detect the gas concentration, and the algorithm formula is: I=I0·exp(-α(v)·C·L), wherein: I is the incident light intensity, I0 is the incident light intensity, α(v) is the absorption coefficient, C is the concentration of the absorbing substance in the medium, and L is the length of the light passing through the medium. The gas concentration C is inferred by measuring the incident light intensity I0 and the output light intensity I, as well as the known path length L, combined with the experimentally measured absorption coefficient α(v). When monitoring the gas concentration, the gas concentration C is inferred by measuring the incident light intensity I0 and the output light intensity I, as well as the known path length L, combined with the experimentally measured absorption coefficient α(v).
[0013] Furthermore, the signal amplification and processing unit included in the high-precision trace detection module amplifies and filters the original sensor signal, and its algorithm formula is: out =U in ×G, where: U out is the amplified output signal, U in is the original input signal, G is the amplification factor, which is used to adjust the degree of signal amplification. The amplified signal is filtered through the average filtering algorithm to eliminate noise and interference and improve signal quality. The algorithm formula is: Among them: U filtered is the output signal after filtering, U in,i are N consecutive input signal samples, and N is the size of the filter window.
[0014] Furthermore, the real-time display and warning module determines in real time whether the gas concentration exceeds the set threshold through a threshold judgment algorithm, and the algorithm formula is: Among them, V filtered It is a gas concentration signal, Threshold is the preset gas concentration threshold, and Alarm represents the action of triggering the early warning. When the gas concentration exceeds the set threshold, the alarm mechanism is immediately triggered and the corresponding early warning action is executed, including issuing an audible and visual alarm and sending an alarm signal.
[0015] Furthermore, the automatic isolation and emergency handling module receives the warning signal from the real-time display and warning module, and according to the preset program, automatically closes the valves related to the leakage source and cuts off the power supply to isolate the leakage source, starts the emergency ventilation system, and starts the leakage collection device to eliminate the leaked gas as soon as possible. At the same time, it continuously monitors the leakage handling situation to ensure that the leakage is effectively controlled. After the leakage is controlled, the system automatically restores its normal operating state according to the preset program.
[0016] Furthermore, the data recording and evaluation module receives data from the high-precision trace detection module and the real-time display and early warning module, and stores the data in a historical database. By performing statistical analysis on the historical data, reports and charts are generated to help users understand the trends and patterns of gas leakage. Based on the historical data and system operation conditions, the performance and stability of the system are evaluated to provide a reference for system optimization and improvement.
[0017] Furthermore, the data recording and evaluation module evaluates the fluctuation of gas concentration by a standard deviation algorithm, and the calculation formula is: Where: Standard Deviation is the standard deviation of gas concentration, N is the number of samples, that is, the number of recorded gas concentration data points, C i is the gas concentration value of the i-th sample, and Mean Concentration is the average value of the gas concentration.
[0018] Furthermore, the data recording and evaluation module also has a data export function, allowing the user to export historical data to an external storage device or transmit it remotely.
[0019] Furthermore, the high-precision trace detection module also includes a temperature compensation function, which can automatically adjust the sensor reading to compensate for the impact of ambient temperature changes on gas concentration detection.
[0020] Compared with the existing technology, the special gas transmission leakage monitoring system has the following beneficial effects:
[0021] 1. The present invention can realize accurate real-time monitoring of special gas concentration through the coordinated work of high-precision trace detection module and real-time display and early warning module, and immediately send out an early warning signal when the concentration exceeds the preset threshold, ensuring timely discovery and handling of leakage incidents, thereby effectively preventing safety accidents caused by gas leakage and ensuring the safety and stability of the production environment.
[0022] 2. The present invention uses the automatic isolation and emergency processing module to quickly initiate emergency processing measures after receiving the early warning signal, including closing valves and starting the ventilation system to reduce the spread of leakage and reduce safety risks. At the same time, the data recording and evaluation module can continuously record and analyze gas concentration data to help users understand the trends and patterns of gas leakage, and provide strong support for the performance evaluation and optimization of the system. In addition, through the data export function, users can also easily export historical data to external storage devices or transmit them remotely to achieve data sharing and utilization.
[0023] Other advantages, objectives and features of the present invention will be set forth in part in the following description and, in part, will be apparent to those skilled in the art based on an examination of the following or may be taught from the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS
[0024] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.
[0025] Figure 1 This is a process operation diagram of a special gas transmission leakage monitoring system.
[0026] Figure 2 The present invention is a flow chart of a special gas transmission leakage monitoring system. DETAILED DESCRIPTION
[0027] The technical solutions in the embodiments of the present invention are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. 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.
[0028] Example 1
[0029] In this embodiment, the realization of high-precision real-time monitoring and early warning functions of a special gas transmission leakage monitoring system is demonstrated.
[0030] First, after the special gas transmission leakage monitoring system is powered on, the system will start and initialize. During this stage, the sensor in the high-precision trace detection module begins to preheat and calibrate to ensure that it is in the best working state. At the same time, the signal amplification and processing unit also performs self-test to ensure the accuracy and reliability of signal processing. Once the system is initialized, the high-precision trace detection module starts working, and the sensor begins to detect and continuously monitor the concentration of special gases in the environment based on the gas concentration detection algorithm of the Beer-Lambert law. The algorithm formula is: I = I0 exp (-α (v) · C · L), where: I is the incident light intensity, I0 is the incident light intensity, α (v) is the absorption coefficient, C is the concentration of the absorbing substance in the medium, L is the length of the light passing through the medium, by measuring the incident light intensity I0 and the output light intensity I, as well as the known path length L, combined with the experimentally measured absorption coefficient α (v) to infer the gas concentration C, the signal output by the sensor is amplified and digitized by the signal amplification and processing unit in the module, the algorithm formula is: U out =U in ×G, where: U out is the amplified output signal, U in is the original input signal, G is the amplification factor, which is used to adjust the degree of signal amplification. The amplified signal is filtered through the average filtering algorithm to eliminate noise and interference and improve signal quality. The algorithm formula is: Among them: U filtered is the output signal after filtering, U in,i It is N consecutive input signal samples, N is the size of the filter window, which ensures the accuracy and reliability of the data. The processed data is transmitted to the real-time display and early warning module for subsequent processing.
[0031] After receiving the gas concentration data from the high-precision trace detection module, the real-time display and warning module starts real-time analysis. The module has a preset gas concentration threshold built in. The threshold is set according to the properties, safety standards and operating requirements of special gas chemicals. The module uses the threshold judgment algorithm to judge in real time whether the gas concentration exceeds the set threshold. The algorithm formula is: Among them, V filtered is a gas concentration signal, Threshold is the preset gas concentration threshold, and Alarm indicates the action of triggering the warning. Once the gas concentration is detected to exceed the threshold, the real-time display and warning module will immediately trigger the alarm mechanism. The alarm mechanism includes an audible and visual alarm device, which emits a harsh alarm sound and flashing lights to remind operators to take timely treatment measures. In addition, the warning signal can also be presented in the form of LED indicators and display screens to provide more detailed gas concentration data and alarm information.
[0032] When the operator receives the warning signal, he can immediately view the gas concentration data on the real-time display module. These data are displayed in the form of intuitive numbers and charts to help the operator quickly understand the leakage situation. According to the gas concentration data and the warning signal prompts, the operator can judge the severity and scope of the leakage and take corresponding treatment measures, including closing relevant valves and starting emergency equipment. At the same time, the system will automatically record the key information of the warning record, including gas concentration data, alarm time, and operator. These records provide important references for subsequent data analysis and processing. By analyzing the warning records, the frequency, rules and trends of leakage incidents can be understood, providing a basis for system optimization and improvement.
[0033] In summary, the above embodiments demonstrate how a special gas transmission leakage monitoring system can achieve high-precision real-time monitoring and early warning functions. Through the coordinated work of the high-precision trace detection module and the real-time display and early warning module, the system can accurately detect the concentration of special gases and promptly issue early warning signals when leakage occurs, thereby ensuring the safety and stability of the production environment.
[0034] Example 2
[0035] In this embodiment, the realization of intelligent emergency response and data analysis functions of a special gas transmission leakage monitoring system is demonstrated.
[0036] When the special gas transmission leakage monitoring system receives the warning signal from the real-time display and warning module, the automatic isolation and emergency processing module will be started immediately. The module will first automatically close the valve directly related to the leakage source through the solenoid valve or pneumatic valve in the control system, thereby quickly cutting off the gas supply and preventing the leakage from spreading further. At the same time, the module will trigger the start-up of the emergency ventilation system to accelerate the diffusion and removal of the leaked gas by increasing the ventilation volume and reducing the gas concentration in the environment. In addition, in order to prevent the leaked gas from polluting the environment, the automatic isolation and emergency processing module can also control the leakage collection device, including the start-up of the leakage collection barrel or the leakage collection tank. These devices can quickly collect the leaked gas and prevent it from spreading to the external environment.
[0037] While automatic isolation and emergency treatment measures are being implemented, the system will continuously monitor the leakage handling situation through a high-precision trace detection module. The module will collect gas concentration data in real time and feed the data back to the central control system. The system can understand the effect of leakage control by comparing and analyzing the changing trends of gas concentration data. If the gas concentration continues to rise or decreases slowly, the system will automatically adjust the emergency treatment measures according to the preset program, such as increasing the ventilation volume or adjusting the working status of the leakage collection device to more effectively control the leakage. Once the leakage is controlled and the gas concentration drops to a safe range, the system will automatically restore the normal operation of the equipment and notify the operator to conduct further inspection and maintenance.
[0038] The data recording and evaluation module is responsible for recording the key information of gas concentration data, warning records, and emergency treatment measures, and storing them in the system database. These data provide the basis for subsequent query and analysis. Users can easily query historical data through the query interface provided by the system. At the same time, the system also provides data analysis functions, which can evaluate the fluctuation of gas concentration through the standard deviation algorithm of historical data. The calculation formula of the standard deviation algorithm is: Where: StandardDeviation is the standard deviation of gas concentration, N is the number of samples, that is, the number of recorded gas concentration data points, C i is the gas concentration value of the ith sample, Mean Concentration is the average value of the gas concentration, and the analysis results are generated into reports and charts. These reports and charts can intuitively display the trend, rules and influencing factors of gas leakage, and help users to have a deep understanding of the operating status and performance of the system. In addition, the system can also evaluate the performance and stability of the system based on historical data and system operation status. By comparing data from different time periods, the system can analyze potential problems and hidden dangers, and provide a reference for system optimization and improvement.
[0039] In order to facilitate users to analyze and utilize data, the data recording and evaluation module also provides a data export function. Users can export historical data to external storage devices, or remotely transmit data to other devices or systems through a network interface. The exported data can be used for further analysis and processing, such as integration with other systems or databases, and in-depth mining using professional data analysis tools. This function makes data sharing and utilization more convenient and efficient, providing users with more possibilities and value.
[0040] To sum up, the above embodiments demonstrate how a special gas transmission leakage monitoring system can realize intelligent emergency processing and data analysis functions. Through the collaborative work of the real-time automatic isolation and emergency processing module and the data recording and evaluation module, the system can accurately and quickly alarm and process gas leakage phenomena and evaluate the fluctuation of gas concentration through historical data through the data recording and evaluation module, thereby ensuring the safety and stability of the production environment.
[0041] Example 3
[0042] The steps of the system based on Example 1 and Example 2 are as follows:
[0043] (1) System startup and initialization: Turn on the system power supply, start the special gas transmission leakage monitoring system, and the system automatically initializes, including preheating and calibration of the high-precision trace detection module, and self-test of the signal amplification and processing unit;
[0044] (2) Real-time monitoring: The high-precision trace detection module starts to monitor the concentration of special gases in the environment in real time. The sensor transmits the detected gas concentration data to the signal amplification and processing unit for processing. The processed data is sent to the real-time display and early warning module;
[0045] (3) Real-time display and warning: After receiving data, the real-time display and warning module displays the current gas concentration value on the display screen. The system makes a judgment based on the preset gas concentration threshold. If the concentration exceeds the threshold, the warning mechanism is triggered. The warning signal is issued through the sound and light alarm device and LED indicator to remind the operator;
[0046] (4) Automatic isolation and emergency treatment: After the early warning is triggered, the automatic isolation and emergency treatment module starts working, closes the valves related to the leakage source, cuts off the gas supply, starts the emergency ventilation system, and speeds up the removal of the leaked gas;
[0047] (5) Leakage handling monitoring: During the emergency handling process, the system continuously monitors the leakage handling status through a high-precision trace detection module. Based on the changes in gas concentration data, the system determines whether the leakage is under control. If the leakage is not under control, the system adjusts the emergency handling measures. Once the leakage is under control, the system automatically restores the normal operation of the system.
[0048] (6) Data recording and evaluation: The data recording and evaluation module records gas concentration data and key information of early warning records. Users can query and analyze historical data through the user interface. The system generates reports and charts to help users understand the trends and patterns of gas leakage. Users can optimize and improve the system based on the data and system evaluation results.
[0049] (7) Data export and utilization: Users select the data to be exported and export the data to an external storage device or transmit it remotely over the network. The exported data can be further analyzed and processed in other devices or systems. Users can share the data with other relevant personnel or departments to jointly analyze and solve problems.
[0050] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.
Claims
1. A special gas transmission leakage monitoring system, characterized in that: The system consists of the following components: High-precision trace detection module: adopts gas detection technology and realizes trace detection of special gases through high-sensitivity sensors; Real-time display and warning module: connected to the high-precision trace detection module, it displays the gas concentration data in real time and immediately issues a warning signal when the gas concentration exceeds the preset threshold. The warning signal is presented in the form of sound and light alarm and LED indicator light; Automatic isolation and emergency treatment module: After receiving the early warning signal, it automatically executes a series of emergency treatment measures, including closing relevant valves and starting the emergency ventilation system to isolate the leakage source and reduce the spread of the leakage; Data recording and evaluation module: responsible for recording key information of gas concentration data and early warning records, allowing users to query and analyze historical data, and evaluate leakage trends based on historical data to provide reference for future prevention and maintenance.
2. A special gas transmission leakage monitoring system according to claim 1, characterized in that: The high-precision trace detection module starts working after the system is powered on. The sensor starts to detect the concentration of special gases in the environment and monitors it continuously. The signal output by the sensor is amplified and digitized by the signal amplification and processing unit in the module to ensure the accuracy and reliability of the data. The processed data is transmitted to the real-time display and early warning module for subsequent processing.
3. A special gas transmission leakage monitoring system according to claim 2, characterized in that: The high-precision trace detection module uses a gas concentration detection algorithm based on the Beer-Lambert law to detect the gas concentration. The algorithm formula is: I=I0·exp(-α(v)·C·L), where: I is the incident light intensity, I0 is the incident light intensity, α(v) is the absorption coefficient, C is the concentration of the absorbing substance in the medium, and L is the length of the light passing through the medium. The gas concentration C is inferred by measuring the incident light intensity I0 and the output light intensity I, as well as the known path length L, combined with the experimentally measured absorption coefficient α(v). When monitoring the gas concentration, the gas concentration C is inferred by measuring the incident light intensity I0 and the output light intensity I, as well as the known path length L, combined with the experimentally measured absorption coefficient α(v).
4. A special gas transmission leakage monitoring system according to claim 2, characterized in that: The signal amplification and processing unit included in the high-precision trace detection module amplifies and filters the original sensor signal, and its algorithm formula is: out =U in ×G, where: U out is the amplified output signal, U in is the original input signal, G is the amplification factor, which is used to adjust the degree of signal amplification. The amplified signal is filtered through the average filtering algorithm to eliminate noise and interference and improve signal quality. The algorithm formula is: Among them: U filtered is the output signal after filtering, U in,i are N consecutive input signal samples, and N is the size of the filter window.
5. A special gas transmission leakage monitoring system according to claim 1, characterized in that: The real-time display and warning module uses a threshold judgment algorithm to determine in real time whether the gas concentration exceeds the set threshold, and the algorithm formula is: Among them, V filtered It is a gas concentration signal, Threshold is the preset gas concentration threshold, and Alarm represents the action of triggering the early warning. When the gas concentration exceeds the set threshold, the alarm mechanism is immediately triggered and the corresponding early warning action is executed, including issuing an audible and visual alarm and sending an alarm signal.
6. A special gas transmission leakage monitoring system according to claim 1, characterized in that: The automatic isolation and emergency handling module receives the warning signal from the real-time display and warning module, and according to the preset program, automatically closes the valve related to the leakage source and cuts off the power supply to isolate the leakage source, starts the emergency ventilation system, and starts the leakage collection device to remove the leaked gas as soon as possible. At the same time, it continuously monitors the leakage handling situation to ensure that the leakage is effectively controlled. After the leakage is controlled, the normal operating state of the system is automatically restored according to the preset program.
7. A special gas transmission leakage monitoring system according to claim 1, characterized in that: The data recording and evaluation module receives data from the high-precision trace detection module and the real-time display and warning module, and stores the data in a historical database. By performing statistical analysis on the historical data, reports and charts are generated to help users understand the trends and patterns of gas leakage. Based on the historical data and system operation conditions, the performance and stability of the system are evaluated to provide a reference for system optimization and improvement.
8. The special gas transmission leakage monitoring system according to claim 7, characterized in that: The data recording and evaluation module evaluates the fluctuation of gas concentration through the standard deviation algorithm, and the calculation formula is: Where: StandardDeviation is the standard deviation of gas concentration, N is the number of samples, that is, the number of recorded gas concentration data points, C i is the gas concentration value of the i-th sample, and Mean Concentration is the average value of the gas concentration.
9. The special gas transmission leakage monitoring system according to claim 7, characterized in that: The data recording and evaluation module also has a data export function, allowing the user to export historical data to an external storage device or transmit it remotely.
10. The special gas transmission leakage monitoring system according to claim 1, characterized in that: The high-precision trace detection module also includes a temperature compensation function that can automatically adjust the sensor reading to compensate for the impact of ambient temperature changes on gas concentration detection.