Intelligent early warning system for laboratory hazardous gas leakage

Abstract

The invention discloses an intelligent early warning system for laboratory hazardous gas leakage, and the system comprises a system initialization and configuration module which is used for carrying out sensor deployment, system configuration and network connection; the real-time monitoring and data acquisition module is used for continuously monitoring sensor data and preprocessing the data; the data analysis and judgment module is used for threshold comparison and trend analysis to obtain alarm information and notification information; the alarm and notification module is used for sending out alarm information and notification information; the linkage control and emergency response module is used for automatically closing a dangerous source and starting a ventilation system; the recording and reporting module is used for recording events and generating reports; and the system recovery and evaluation module is used for alarm release, system inspection and safety evaluation. According to the invention, more comprehensive and intelligent laboratory hazardous gas leakage early warning can be carried out.

Description

Technical Field

[0001] The present invention relates to the field of early warning systems, and in particular to an intelligent early warning system for laboratory hazardous gas leakage. Background Art

[0002] Laboratory hazardous gas leakage monitoring is suitable for various places that need to monitor hazardous gas leakage, such as chemical laboratories, biological laboratories, material laboratories, etc. Especially when high-risk experiments involving toxic gases, flammable and explosive gases, the application of laboratory hazardous gas leakage monitoring is particularly important;

[0003] During the laboratory hazardous gas leakage monitoring process, the laboratory hazardous gas leakage intelligent early warning system will be used to provide safety warnings.

[0004] The existing early warning system collects single data and has poor early warning effect, which has a certain impact on the use of the early warning system. Therefore, an intelligent early warning system for laboratory hazardous gas leakage is proposed. Summary of the invention

[0005] The technical problem to be solved by the present invention is: how to solve the problem that the existing safety protection system has a single protection type, resulting in poor protection effect and bringing certain impacts on the use of the safety protection system, and provides an intelligent early warning system for laboratory hazardous gas leakage.

[0006] The present invention solves the above technical problems through the following technical solutions, which include:

[0007] System initialization and configuration module, used to deploy sensors, system configuration and network connection;

[0008] Real-time monitoring and data acquisition module for continuous monitoring of sensor data and data preprocessing;

[0009] Data analysis and judgment module, used for threshold comparison and trend analysis, to obtain alarm information and notification information;

[0010] Alarm and notification module, used to send alarm information and notification information;

[0011] Linkage control and emergency response module, used to automatically shut down hazardous sources and activate ventilation systems;

[0012] Logging and reporting module, used to log events and generate reports;

[0013] System recovery and assessment module, used for clearing alarms, system inspection and safety assessment.

[0014] Furthermore, the specific process of the system initialization and configuration module for deploying sensors, system configuration and network connection is as follows:

[0015] Deploy sensors: Install sensors at selected sensor installation locations in the preset areas of the laboratory;

[0016] Sensor initialization: After the sensor is installed, perform initialization operations, including calibrating the sensor and setting basic sensor parameters;

[0017] Sensor test: perform functional test on the sensor and test the sensitivity of the sensor to gases of different concentrations;

[0018] System configuration: Set gas types: According to the types of dangerous gases in the laboratory, set the types of gases that need to be monitored in the system;

[0019] Configure safety thresholds: Set safety thresholds for each gas according to the laboratory's safety standards;

[0020] Set the alarm mode: Set the alarm mode according to the actual situation of the laboratory;

[0021] Network connection, connecting the communication line between the sensor and the data acquisition and processing unit, the connection mode includes wired connection and wireless connection;

[0022] According to the laboratory's network environment, configure the system's network parameters, including IP address and port number, and perform a network test after the network connection is completed.

[0023] Furthermore, the specific process of the real-time monitoring and data acquisition module for continuously monitoring sensor data and preprocessing data is as follows:

[0024] Monitoring gas concentration: The sensor senses the gas concentration in the laboratory in real time through its built-in sensitive elements, converts the sensed gas concentration information into electrical signals, and then transmits the converted signals to the data acquisition and processing unit via wired or wireless means;

[0025] Data preprocessing: First, remove noise by filtering and smoothing algorithms, then perform outlier detection by setting thresholds or using statistical methods to detect and process outliers. After removing noise and outliers, format the data and convert it into a unified format and unit.

[0026] Furthermore, the threshold comparison process is as follows:

[0027] Set thresholds: Set reasonable safety thresholds for each gas based on the specific conditions of the laboratory, gas types, and safety standards;

[0028] The sensor continuously monitors the gas concentration in the laboratory and transmits the real-time data to the data acquisition and processing unit via wired or wireless means. After receiving the sensor data, the data acquisition and processing unit compares it with the preset safety threshold. When the data is lower than the threshold, it is considered that the current gas concentration is within the safe range;

[0029] When the data approaches or exceeds the threshold, the system considers that there is a risk of gas leakage and generates a warning message or notification message;

[0030] The trend analysis process is as follows:

[0031] Data screening: When the data approaches or exceeds the threshold, the system screens the gas concentration data within the corresponding time period from the database, including gas type, concentration value, and timestamp;

[0032] Then, trend identification is performed: trend analysis is performed on the screened data to identify the changing trend of gas concentration and draw trend lines;

[0033] Identify the overall trend of the data series by drawing trend lines;

[0034] Perform duration analysis to analyze the duration that the gas concentration exceeds the threshold and make a comprehensive judgment:

[0035] Combine the results of trend analysis and duration analysis to make a comprehensive judgment on whether there is a gas leak;

[0036] When the data change trend is obvious and lasts for a long time, there is a risk of leakage, and the alarm mechanism is triggered to send out alarm information or notification information.

[0037] Furthermore, the process of the linkage control and emergency response module automatically shutting down the danger source and starting the ventilation system is as follows:

[0038] The linkage control includes automatic shutdown of dangerous sources, activation of ventilation systems and evacuation instructions;

[0039] When a gas leakage risk is detected and an alarm or notification message is obtained, the power supply of relevant equipment in the laboratory is automatically cut off;

[0040] When a gas leakage risk is detected and an alarm or notification message is obtained, the ventilation system is automatically started or strengthened, and the wind speed and direction are adjusted as needed;

[0041] When a gas leakage risk is detected and an alarm or notification message is obtained, the system can issue evacuation instructions through the broadcasting system.

[0042] Furthermore, the specific process of the recording and reporting module recording events and generating reports is as follows:

[0043] Recording events: Event information collection automatically records all relevant information about gas leaks, including the specific time and location of the incident, the type of leaked gas, the concentration level, the type of alarm triggered, and any other data related to the incident;

[0044] Data storage and management: The collected event information is securely stored in the system's database;

[0045] Event Log: Set up an event log to record all gas leak incidents and related information.

[0046] Generate reports: Automatically generate detailed reports based on recorded event information, analyze the data in the reports, determine whether there are potential safety hazards, and evaluate the performance and reliability of the system.

[0047] Further, the alarm is released: after confirming that the danger has been eliminated, the alarm state is released manually by the management personnel or automatically by the system;

[0048] System inspection: Conduct a comprehensive inspection of the system to ensure that all sensors and linkage devices are in normal working condition;

[0049] Safety assessment: Reassess the safety status of the laboratory to determine whether there are any hidden dangers.

[0050] Compared with the prior art, the present invention has the following advantages: the intelligent early warning system for dangerous gas leakage in the laboratory covers the whole process from initialization configuration to monitoring, analysis, alarm, linkage control, record reporting, and system recovery and evaluation, forming a complete and systematic solution. The sensor can continuously monitor and automatically transmit data, reducing the need for manual intervention. Data preprocessing, threshold comparison, trend analysis and other processes are all automated, which improves the response speed and accuracy of the system. The linkage control and emergency response module can automatically perform operations such as closing the dangerous source and starting the ventilation system, effectively reducing the possibility of human error. By setting the safety threshold and performing trend analysis, the system can timely discover and warn potential gas leakage risks, ensuring the safety of the laboratory. The sensor and system configuration have been strictly tested and calibrated to ensure the accuracy and reliability of the data. The system has recording and reporting functions, can record the information of each event in detail, and provides data support for subsequent safety assessment and improvement. The system configuration and alarm mode can be flexibly set according to the actual situation of the laboratory, meeting the personalized needs of different laboratories. The above process has significant advantages in the gas monitoring system, can ensure the safe and reliable operation of the laboratory, and make the system more worthy of promotion and use. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 It is the overall structural diagram of the present invention. DETAILED DESCRIPTION

[0052] The following is a detailed description of an embodiment of the present invention. This embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation method and a specific operation process are given, but the protection scope of the present invention is not limited to the following embodiment.

[0053] like Figure 1 As shown, this embodiment provides a technical solution: an intelligent early warning system for laboratory hazardous gas leakage, the invention includes:

[0054] System initialization and configuration module, used to deploy sensors, system configuration and network connection;

[0055] Real-time monitoring and data acquisition module for continuous monitoring of sensor data and data preprocessing;

[0056] Data analysis and judgment module, used for threshold comparison and trend analysis, to obtain alarm information and notification information;

[0057] Alarm and notification module, used to send alarm information and notification information;

[0058] Linkage control and emergency response module, used to automatically shut down hazardous sources and activate ventilation systems;

[0059] Logging and reporting module, used to log events and generate reports;

[0060] System recovery and assessment module, used for clearing alarms, system inspection and safety assessment.

[0061] Furthermore, the specific process of the system initialization and configuration module for deploying sensors, system configuration and network connection is as follows:

[0062] Deploy sensors: Install sensors at selected sensor installation locations in the preset areas of the laboratory;

[0063] Sensor initialization: After the sensor is installed, perform initialization operations, including calibrating the sensor and setting basic sensor parameters;

[0064] Sensor test: perform functional test on the sensor and test the sensitivity of the sensor to gases of different concentrations;

[0065] System configuration: Set gas types: According to the types of dangerous gases in the laboratory, set the types of gases that need to be monitored in the system;

[0066] Configure safety thresholds: Set safety thresholds for each gas according to the laboratory's safety standards;

[0067] Set the alarm mode: Set the alarm mode according to the actual situation of the laboratory;

[0068] Network connection, connecting the communication line between the sensor and the data acquisition and processing unit, the connection mode includes wired connection and wireless connection;

[0069] According to the laboratory's network environment, configure the system's network parameters, including IP address and port number, and perform a network test after the network connection is completed.

[0070] Furthermore, the specific process of the real-time monitoring and data acquisition module for continuously monitoring sensor data and preprocessing data is as follows:

[0071] Monitoring gas concentration: The sensor senses the gas concentration in the laboratory in real time through its built-in sensitive elements, converts the sensed gas concentration information into electrical signals, and then transmits the converted signals to the data acquisition and processing unit via wired or wireless means;

[0072] Data preprocessing: First, remove noise by filtering and smoothing algorithms, then perform outlier detection by setting thresholds or using statistical methods to detect and process outliers. After removing noise and outliers, format the data and convert it into a unified format and unit.

[0073] Furthermore, the threshold comparison process is as follows:

[0074] Set thresholds: Set reasonable safety thresholds for each gas based on the specific conditions of the laboratory, gas types, and safety standards;

[0075] The sensor continuously monitors the gas concentration in the laboratory and transmits the real-time data to the data acquisition and processing unit via wired or wireless means. After receiving the sensor data, the data acquisition and processing unit compares it with the preset safety threshold. When the data is lower than the threshold, it is considered that the current gas concentration is within the safe range;

[0076] When the data approaches or exceeds the threshold, the system considers that there is a risk of gas leakage and generates a warning message or notification message;

[0077] The trend analysis process is as follows:

[0078] Data screening: When the data approaches or exceeds the threshold, the system screens the gas concentration data within the corresponding time period from the database, including gas type, concentration value, and timestamp;

[0079] Then, trend identification is performed: trend analysis is performed on the screened data to identify the changing trend of gas concentration and draw trend lines;

[0080] Identify the overall trend of the data series by drawing trend lines;

[0081] Perform duration analysis to analyze the duration that the gas concentration exceeds the threshold and make a comprehensive judgment:

[0082] Combine the results of trend analysis and duration analysis to make a comprehensive judgment on whether there is a gas leak;

[0083] When the data change trend is obvious and lasts for a long time, there is a risk of leakage, and the alarm mechanism is triggered to send out alarm information or notification information.

[0084] Furthermore, the process of the linkage control and emergency response module automatically shutting down the danger source and starting the ventilation system is as follows:

[0085] The linkage control includes automatic shutdown of dangerous sources, activation of ventilation systems and evacuation instructions;

[0086] When a gas leakage risk is detected and an alarm or notification message is obtained, the power supply of relevant equipment in the laboratory is automatically cut off;

[0087] When a gas leakage risk is detected and an alarm or notification message is obtained, the ventilation system is automatically started or strengthened, and the wind speed and direction are adjusted as needed;

[0088] When a gas leakage risk is detected and an alarm or notification message is obtained, the system can issue evacuation instructions through the broadcasting system.

[0089] Furthermore, the specific process of the recording and reporting module recording events and generating reports is as follows:

[0090] Recording events: Event information collection automatically records all relevant information about gas leaks, including the specific time and location of the incident, the type of leaked gas, the concentration level, the type of alarm triggered, and any other data related to the incident;

[0091] Data storage and management: The collected event information is securely stored in the system's database;

[0092] Event Log: Set up an event log to record all gas leak incidents and related information.

[0093] Generate reports: Automatically generate detailed reports based on recorded event information, analyze the data in the reports, determine whether there are potential safety hazards, and evaluate the performance and reliability of the system.

[0094] Further, the alarm is released: after confirming that the danger has been eliminated, the alarm state is released manually by the management personnel or automatically by the system;

[0095] System inspection: Conduct a comprehensive inspection of the system to ensure that all sensors and linkage devices are in normal working condition;

[0096] Safety assessment: Reassess the safety status of the laboratory to determine whether there are any hidden dangers.

[0097] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0098] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0099] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. An intelligent early warning system for laboratory hazardous gas leakage, characterized in that: include: System initialization and configuration module, used to deploy sensors, system configuration and network connection; Real-time monitoring and data acquisition module for continuous monitoring of sensor data and data preprocessing; Data analysis and judgment module, used for threshold comparison and trend analysis, to obtain alarm information and notification information; Alarm and notification module, used to send alarm information and notification information; Linkage control and emergency response module, used to automatically shut down hazardous sources and activate ventilation systems; Logging and reporting module, used to log events and generate reports; System recovery and assessment module, used for clearing alarms, system inspection and safety assessment.

2. According to claim 1, the intelligent early warning system for laboratory hazardous gas leakage is characterized by: The specific process of the system initialization and configuration module to deploy sensors, system configuration and network connection is as follows: Deploy sensors: Install sensors at selected sensor installation locations in the preset areas of the laboratory; Sensor initialization: After the sensor is installed, perform initialization operations, including calibrating the sensor and setting basic sensor parameters; Sensor test: perform functional test on the sensor and test the sensitivity of the sensor to gases of different concentrations; System configuration: Set gas types: According to the types of dangerous gases in the laboratory, set the types of gases that need to be monitored in the system; Configure safety thresholds: Set safety thresholds for each gas according to the laboratory's safety standards; Set the alarm mode: Set the alarm mode according to the actual situation of the laboratory; Network connection, connecting the communication line between the sensor and the data acquisition and processing unit, the connection mode includes wired connection and wireless connection; According to the laboratory's network environment, configure the system's network parameters, including IP address and port number, and perform a network test after the network connection is completed.

3. According to claim 1, the intelligent early warning system for laboratory hazardous gas leakage is characterized by: The specific process of the real-time monitoring and data acquisition module for continuous monitoring of sensor data and data preprocessing is as follows: Monitoring gas concentration: The sensor senses the gas concentration in the laboratory in real time through its built-in sensitive elements, converts the sensed gas concentration information into electrical signals, and then transmits the converted signals to the data acquisition and processing unit via wired or wireless means; Data preprocessing: First, remove noise by filtering and smoothing algorithms, then perform outlier detection by setting thresholds or using statistical methods to detect and process outliers. After removing noise and outliers, format the data and convert it into a unified format and unit.

4. According to claim 1, the intelligent early warning system for laboratory hazardous gas leakage is characterized by: The threshold comparison process is as follows: Set thresholds: Set reasonable safety thresholds for each gas based on the specific conditions of the laboratory, gas types, and safety standards; The sensor continuously monitors the gas concentration in the laboratory and transmits the real-time data to the data acquisition and processing unit via wired or wireless means. After receiving the sensor data, the data acquisition and processing unit compares it with the preset safety threshold. When the data is lower than the threshold, it is considered that the current gas concentration is within the safe range; When the data approaches or exceeds the threshold, the system considers that there is a risk of gas leakage and generates a warning message or notification message; The trend analysis process is as follows: Data screening: When the data approaches or exceeds the threshold, the system screens the gas concentration data within the corresponding time period from the database, including gas type, concentration value, and timestamp; Then, trend identification is performed: trend analysis is performed on the screened data to identify the changing trend of gas concentration and draw trend lines; Identify the overall trend of the data series by drawing trend lines; Perform duration analysis to analyze the duration that the gas concentration exceeds the threshold and make a comprehensive judgment: Combine the results of trend analysis and duration analysis to make a comprehensive judgment on whether there is a gas leak; When the data change trend is obvious and lasts for a long time, there is a risk of leakage, and the alarm mechanism is triggered to send out alarm information or notification information.

5. According to claim 1, the intelligent early warning system for laboratory hazardous gas leakage is characterized by: The process of the linkage control and emergency response module automatically shutting down the danger source and starting the ventilation system is as follows: The linkage control includes automatic shutdown of dangerous sources, activation of ventilation systems and evacuation instructions; When a gas leakage risk is detected and an alarm or notification message is obtained, the power supply of relevant equipment in the laboratory is automatically cut off; When a gas leakage risk is detected and an alarm or notification message is obtained, the ventilation system is automatically started or strengthened, and the wind speed and direction are adjusted as needed; When a gas leakage risk is detected and an alarm or notification message is obtained, the system can issue evacuation instructions through the broadcasting system.

6. The intelligent early warning system for laboratory hazardous gas leakage according to claim 1 is characterized by: The specific process of recording events and generating reports by the recording and reporting module is as follows: Recording events: Event information collection automatically records all relevant information about gas leaks, including the specific time and location of the incident, the type of leaked gas, the concentration level, the type of alarm triggered, and any other data related to the incident; Data storage and management: The collected event information is securely stored in the system's database; Event Log: Set up an event log to record all gas leak incidents and related information. Generate reports: Automatically generate detailed reports based on recorded event information, analyze the data in the reports, determine whether there are potential safety hazards, and evaluate the performance and reliability of the system.

7. The intelligent early warning system for laboratory hazardous gas leakage according to claim 1 is characterized by: The alarm release: after confirming that the danger has been eliminated, the alarm state is released manually by the management personnel or automatically by the system; System inspection: Conduct a comprehensive inspection of the system to ensure that all sensors and linkage devices are in normal working condition; Safety assessment: Reassess the safety status of the laboratory to determine whether there are any hidden dangers.

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