Multi-dimensional fuel gas alarm system for workshop production line and alarm method of multi-dimensional fuel gas alarm system
Through the design of the multi-dimensional gas alarm system, the problems of gas leakage information transmission and low positioning efficiency are solved, timely monitoring and response of gas leakage is achieved, and the safety and management efficiency of the production line are improved.
Patent Information
- Application Number
- CN202410948176.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-07-16
- Publication Date
- 2024-12-10
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing gas alarm system cannot effectively transmit and manage gas leakage information inside the production line, and its positioning efficiency is low, resulting in a decrease in risk warning efficiency.
A multi-dimensional gas alarm system was designed, including gas sensor module, positioning module, valve cutting module, data acquisition module, data processing module, alarm module and backup power module. Through wireless communication, Wi-Fi positioning, valve cutting, data Collect and process, classify alarms and linkage measures to achieve real-time monitoring and response.
It realizes timely transmission and accurate positioning of gas leakage information, quickly cut off gas supply, reduces risks and losses, and improves the safety and management efficiency of the production line.
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Figure CN119107773A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of gas alarm technology, and in particular to a multi-dimensional gas alarm system and an alarm method thereof for a workshop production line. Background Art
[0002] In industrial environments, gas is often used as industrial fuel to participate in the production process of materials. However, in the industrial production process, it is usually necessary to arrange special personnel to monitor the use of gas pipelines and gas equipment to avoid pipeline leakage. Once the gas leaks, it may cause fire, explosion, gas poisoning, etc., causing great harm.
[0003] At present, most monitoring methods are to install gas alarms on the production line. After a gas leak is detected, the gas alarm is used to sound an alarm. However, this method can only realize local alarms and cannot reflect the gas leakage situation inside the production line. It is difficult to achieve unified management of information, and the efficiency of point data processing is poor, resulting in low risk warning efficiency. Summary of the invention
[0004] In view of the deficiencies in the prior art, the present invention provides a multi-dimensional gas alarm system and an alarm method for a workshop production line, which solves the problems of being unable to convey internal gas leakage information to the outside and low positioning efficiency.
[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a multi-dimensional gas alarm system for a workshop production line, comprising a gas sensor module, a positioning module, a valve cut-off module, a data acquisition module, a data processing module, an alarm module and a backup power supply module, the gas sensor module comprising a gas sensor installation unit, a sensor node unit, a wireless communication module and a threshold setting unit, the gas sensor installation unit installs the gas sensor at a key position of the production line, and can detect a variety of gases, the sensor node unit can integrate multiple sensors in each sensor node, for detecting different types of gases, the wireless communication unit transmits data to the data acquisition module, the threshold setting unit sets multiple thresholds, taking into account the changing trend of the gas concentration, so as to timely warn of dangerous situations.
[0006] Preferably, the positioning module includes a Wi-Fi positioning unit, a positioning node unit, a central control unit and a position display unit. The Wi-Fi positioning unit uses information such as Wi-Fi signal strength and delay for positioning, and combines the fingerprint positioning algorithm to achieve indoor positioning. The positioning node units are installed in different locations to form a coverage network for receiving and processing positioning signals. The central control unit integrates the data of the positioning module into the data acquisition module and associates it with the gas monitoring data. The position display unit displays the gas leakage location on the data acquisition module interface to provide intuitive location information.
[0007] Preferably, the valve cut-off module includes an electric actuator unit, a sensor feedback unit, a safety interlock unit and a status feedback and monitoring unit. The electric actuator unit uses an electric actuator as a valve cut-off device and realizes valve cut-off control by controlling the switching state of the electric actuator. The sensor feedback unit is integrated with the gas monitoring system, and when a gas leak is detected, the valve cut-off action is triggered. The safety interlock unit ensures the safety of the valve cut-off operation to avoid unnecessary safety accidents caused by misoperation or accidental operation. The status feedback and monitoring unit feeds back the status of the electric actuator to the data acquisition module to display the current switching state of the valve.
[0008] Preferably, the data acquisition module includes a data transmission unit, a data correction unit, a local storage unit and a historical data query unit. The data transmission unit is used to convert the analog signal collected by the sensor into a digital signal and perform preliminary processing. The data correction unit performs data correction according to sensor characteristics and environmental conditions to improve data reliability. The local storage unit stores data on a local server to facilitate subsequent analysis and query. The historical data query unit supports query and playback of historical data to facilitate accident cause analysis and trend prediction.
[0009] Preferably, the data processing module includes a real-time analysis unit, an automated decision-making unit, an access control unit and a data backup and recovery unit. The real-time analysis unit sets a security threshold and triggers an alarm when the data exceeds the preset threshold. The data correction unit calculates statistical indicators of the data to evaluate the system operation status. The access control unit implements a strict access control strategy to ensure that only authorized personnel can access and operate the data. The data backup and recovery unit backs up data regularly and sets an automatic backup strategy to ensure that the data can be recovered in the event of a disaster.
[0010] Preferably, the alarm module includes an audible and visual alarm unit, a visual alarm unit, a mobile alarm unit and a remote alarm unit. When the threshold value is exceeded, the audible and visual alarm unit uses a high-decibel buzzer for on-site audible and visual alarm. When the threshold value is exceeded, the visual alarm unit uses a flashing light or an LED display screen for visual prompts. When the threshold value is exceeded, the mobile alarm unit sends an alarm message to relevant personnel via text message, phone call or mobile phone application. When the threshold value is exceeded, the remote alarm unit uploads the alarm message to the cloud platform for remote viewing and processing by management personnel.
[0011] Preferably, the backup power supply module ensures that the system can still operate normally when the main power supply is cut off.
[0012] Preferably, an alarm method for a multi-dimensional gas alarm system for a workshop production line comprises the following steps:
[0013] S1: Sensor placement and monitoring
[0014] By deploying various types of sensors (such as methane, propane, carbon monoxide and other gas sensors) to detect different types of combustible and toxic gases, sensors are deployed at key nodes of the production line, areas prone to leakage, and corners with poor ventilation to ensure full coverage and real-time monitoring;
[0015] S2: Data collection and transmission
[0016] The sensor collects gas concentration data in real time and transmits the data to the central control system through wireless or wired networks, and stores important data redundantly to prevent data loss;
[0017] S3: Data analysis and processing
[0018] Threshold setting: Set multi-level concentration thresholds (such as warning threshold, alarm threshold, emergency threshold) according to the characteristics of different gases, and use big data analysis and machine learning algorithms to analyze the collected data in real time to determine whether there are abnormal conditions;
[0019] S4: Classification alarm
[0020] According to the different levels of gas concentration, different levels of alarms (early warning, alarm, emergency alarm) are triggered, and corresponding response measures are taken;
[0021] S5: Response and linkage
[0022] The system can be linked with the production line control system, ventilation system, fire extinguishing system, etc., and automatically take measures when dangerous gas concentration is detected, such as shutting down production equipment, starting exhaust fans, and spraying fire-fighting facilities;
[0023] S6: Regular maintenance and drills
[0024] Regularly calibrate and maintain sensors to ensure their sensitivity and accuracy, and regularly conduct emergency plan drills to improve employees' emergency response capabilities and familiarity;
[0025] S7: Record and Track
[0026] The system automatically records each alarm and response process and generates detailed logs to facilitate post-analysis and improvement. It analyzes historical monitoring data, identifies potential safety hazards, and optimizes system configuration and safety management measures.
[0027] The present invention provides a multi-dimensional gas alarm system and an alarm method for a workshop production line.
[0028] It has the following beneficial effects:
[0029] 1. The present invention triggers different levels of alarms (early warning, alarm, emergency alarm) according to different levels of gas concentration and takes corresponding countermeasures. When a gas leak occurs, the gas supply can be quickly cut off to reduce gas accumulation and safety hazards. After the alarm signal is issued, the relevant responsible persons are immediately notified through text messages, phone calls, WeChat and other means to ensure timely response, thereby minimizing potential risks and losses.
[0030] 2. The present invention uses a Wi-Fi positioning unit, a positioning node unit, a central control unit and a position display unit to monitor the location information of the alarm device in real time, promptly discover and respond to alarm events, perform path planning based on the location information of the alarm device, guide rescue personnel to quickly arrive at the scene, and remotely control the alarm device or related equipment in combination with the positioning information to execute emergency measures. BRIEF DESCRIPTION OF THE DRAWINGS
[0031] Figure 1 It is an overall schematic diagram of the present invention;
[0032] Figure 2 It is a schematic diagram of a gas sensor module of the present invention;
[0033] Figure 3 It is a schematic diagram of a positioning module of the present invention;
[0034] Figure 4 It is a schematic diagram of a valve cut-off module of the present invention;
[0035] Figure 5 It is a schematic diagram of a data acquisition module of the present invention;
[0036] Figure 6 It is a schematic diagram of a data processing module of the present invention;
[0037] Figure 7It is a schematic diagram of the alarm module of the present invention. DETAILED DESCRIPTION
[0038] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0039] Example:
[0040] like Figure 1-7 As shown, an embodiment of the present invention provides a multi-dimensional gas alarm system for a workshop production line, including a gas sensor module, a positioning module, a valve cut-off module, a data acquisition module, a data processing module, an alarm module and a backup power supply module, characterized in that: the gas sensor module includes a gas sensor installation unit, a sensor node unit, a wireless communication module and a threshold setting unit, the gas sensor installation unit installs the gas sensor at a key position of the production line, and can detect a variety of gases, the sensor node unit can integrate multiple sensors in each sensor node, and is used to detect different types of gases, the wireless communication unit transmits data to the data acquisition module, and the threshold setting unit sets multiple thresholds, taking into account the changing trend of the gas concentration, so as to timely warn of dangerous situations;
[0041] Multiple gas sensors have been installed to monitor the gas concentration in different areas in real time. These sensors can detect a variety of gases, such as methane, ethane, propane, etc. By reasonably setting thresholds and continuously optimizing and adjusting them, the accuracy and reliability of the gas alarm system can be improved, effectively ensuring safe production in the workshop.
[0042] The positioning module includes a Wi-Fi positioning unit, a positioning node unit, a central control unit and a position display unit. The Wi-Fi positioning unit uses information such as Wi-Fi signal strength and delay for positioning, and combines the fingerprint positioning algorithm to achieve indoor positioning. The positioning node units are installed in different locations to form a coverage network for receiving and processing positioning signals. The central control unit integrates the data of the positioning module into the data acquisition module and associates it with the gas monitoring data. The position display unit displays the gas leakage location on the data acquisition module interface to provide intuitive location information;
[0043] The positioning module monitors the location information of the alarm device in real time, detects and responds to alarm events in a timely manner, and plans routes based on the location information of the alarm device to guide rescue personnel to reach the scene quickly. Combined with the positioning information, the alarm device or related equipment can be remotely controlled to implement emergency measures.
[0044] The valve cut-off module includes an electric actuator unit, a sensor feedback unit, a safety interlock unit and a state feedback and monitoring unit. The electric actuator unit uses an electric actuator as a valve cut-off device and controls the switch state of the electric actuator to realize valve cut-off control. The sensor feedback unit is integrated with the gas monitoring system. When a gas leak is detected, the valve cut-off action is triggered. The safety interlock unit ensures the safety of the valve cut-off operation to avoid unnecessary safety accidents caused by misoperation or accidental operation. The state feedback and monitoring unit feeds back the state of the electric actuator to the data acquisition module to display the current switch state of the valve.
[0045] By introducing the valve cut-off module, the gas alarm system will further improve safety, helping workshop managers to take quick measures when a gas leak occurs, minimizing potential risks and losses.
[0046] The data acquisition module includes a data transmission unit, a data correction unit, a local storage unit and a historical data query unit. The data transmission unit is used to convert the analog signal collected by the sensor into a digital signal and perform preliminary processing. The data correction unit performs data correction according to the sensor characteristics and environmental conditions to improve the reliability of the data. The local storage unit stores data on a local server to facilitate subsequent analysis and query. The historical data query unit supports query and playback of historical data to facilitate accident cause analysis and trend prediction.
[0047] The data of each sensor node is collected in real time and transmitted to the central control unit through the wireless network.
[0048] The data processing module includes a real-time analysis unit, an automated decision-making unit, an access control unit, and a data backup and recovery unit. The real-time analysis unit sets a security threshold and triggers an alarm when the data exceeds the preset threshold. The data correction unit calculates statistical indicators of the data to evaluate the system operation status. The access control unit implements a strict access control strategy to ensure that only authorized personnel can access and operate the data. The data backup and recovery unit backs up data regularly and sets an automatic backup strategy to ensure that the data can be recovered in the event of a disaster.
[0049] Preprocess the sensor data to filter out noise and errors.
[0050] The alarm module includes a sound alarm unit, a visual alarm unit, a mobile alarm unit and a remote alarm unit. When the threshold value is exceeded, the sound and light alarm unit uses a high-decibel buzzer for on-site sound and light alarm. When the threshold value is exceeded, the visual alarm unit uses a flashing light or an LED display screen for visual prompts. When the threshold value is exceeded, the mobile alarm unit sends an alarm message to relevant personnel via SMS, phone or mobile phone application. When the threshold value is exceeded, the remote alarm unit uploads the alarm message to the cloud platform for remote viewing and processing by management personnel.
[0051] Early warning: When the gas concentration approaches the set threshold, the system will send out an early warning signal to alert the staff, but there is no need to stop work immediately;
[0052] Alarm: When the gas concentration reaches the set alarm threshold, the system sends out an alarm signal to remind the staff to immediately check and deal with possible leakage sources;
[0053] Emergency alarm: When the gas concentration reaches a dangerous level, the system sends out an emergency alarm signal and triggers the emergency plan, including automatically cutting off the power supply of related equipment, starting exhaust equipment, evacuating personnel and other measures.
[0054] The backup power supply module ensures that the system can still operate normally when the main power supply is cut off.
[0055] An alarm method for a multi-dimensional gas alarm system for a workshop production line comprises the following steps:
[0056] S1: Sensor placement and monitoring
[0057] By deploying various types of sensors (such as methane, propane, carbon monoxide and other gas sensors) to detect different types of combustible and toxic gases, sensors are deployed at key nodes of the production line, areas prone to leakage, and corners with poor ventilation to ensure full coverage and real-time monitoring;
[0058] S2: Data collection and transmission
[0059] The sensor collects gas concentration data in real time and transmits the data to the central control system through wireless or wired networks, and stores important data redundantly to prevent data loss;
[0060] S3: Data analysis and processing
[0061] Threshold setting: Set multi-level concentration thresholds (such as warning threshold, alarm threshold, emergency threshold) according to the characteristics of different gases, and use big data analysis and machine learning algorithms to analyze the collected data in real time to determine whether there are abnormal conditions;
[0062] S4: Classification alarm
[0063] According to the different levels of gas concentration, different levels of alarms (early warning, alarm, emergency alarm) are triggered, and corresponding response measures are taken;
[0064] S5: Response and linkage
[0065] The system can be linked with the production line control system, ventilation system, fire extinguishing system, etc., and automatically take measures when dangerous gas concentration is detected, such as shutting down production equipment, starting exhaust fans, and spraying fire-fighting facilities;
[0066] S6: Regular maintenance and drills
[0067] Regularly calibrate and maintain sensors to ensure their sensitivity and accuracy, and regularly conduct emergency plan drills to improve employees' emergency response capabilities and familiarity;
[0068] S7: Record and Track
[0069] The system automatically records each alarm and response process and generates detailed logs to facilitate post-analysis and improvement. It analyzes historical monitoring data, identifies potential safety hazards, and optimizes system configuration and safety management measures.
[0070] 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 multi-dimensional gas alarm system for a workshop production line, comprising a gas sensor module, a positioning module, a valve cut-off module, a data acquisition module, a data processing module, an alarm module and a backup power supply module, characterized in that: The gas sensor module includes a gas sensor installation unit, a sensor node unit, a wireless communication module and a threshold setting unit. The gas sensor installation unit installs the gas sensor at a key position of the production line and can detect multiple gases. The sensor node unit can integrate multiple sensors in each sensor node to detect different types of gases. The wireless communication unit transmits data to the data acquisition module. The threshold setting unit sets multiple thresholds, taking into account the changing trend of the gas concentration, so as to timely warn of dangerous situations.
2. A multi-dimensional gas alarm system for a workshop production line according to claim 1, characterized in that: The positioning module includes a Wi-Fi positioning unit, a positioning node unit, a central control unit and a position display unit. The Wi-Fi positioning unit uses information such as Wi-Fi signal strength and delay for positioning, and combines the fingerprint positioning algorithm to achieve indoor positioning. The positioning node units are installed in different locations to form a coverage network for receiving and processing positioning signals. The central control unit integrates the data of the positioning module into the data acquisition module and associates it with the gas monitoring data. The position display unit displays the gas leakage location on the data acquisition module interface to provide intuitive location information.
3. According to claim 1, a multi-dimensional gas alarm system for a workshop production line is characterized in that: The valve cut-off module includes an electric actuator unit, a sensor feedback unit, a safety interlock unit and a status feedback and monitoring unit. The electric actuator unit uses an electric actuator as a valve cut-off device and realizes valve cut-off control by controlling the switching state of the electric actuator. The sensor feedback unit is integrated with the gas monitoring system. When a gas leak is detected, the valve cut-off action is triggered. The safety interlock unit ensures the safety of the valve cut-off operation to avoid unnecessary safety accidents caused by misoperation or accidental operation. The status feedback and monitoring unit feeds back the status of the electric actuator to the data acquisition module to display the current switching state of the valve.
4. The multi-dimensional gas alarm system for a workshop production line according to claim 1 is characterized in that: The data acquisition module includes a data transmission unit, a data correction unit, a local storage unit and a historical data query unit. The data transmission unit is used to convert the analog signal collected by the sensor into a digital signal and perform preliminary processing. The data correction unit performs data correction according to sensor characteristics and environmental conditions to improve data reliability. The local storage unit stores data on a local server to facilitate subsequent analysis and query. The historical data query unit supports query and playback of historical data to facilitate accident cause analysis and trend prediction.
5. According to claim 1, a multi-dimensional gas alarm system for a workshop production line is characterized in that: The data processing module includes a real-time analysis unit, an automated decision-making unit, an access control unit and a data backup and recovery unit. The real-time analysis unit sets a security threshold and triggers an alarm when the data exceeds the preset threshold. The data correction unit calculates statistical indicators of the data to evaluate the system operation status. The access control unit implements a strict access control strategy to ensure that only authorized personnel can access and operate the data. The data backup and recovery unit backs up data regularly and sets an automatic backup strategy to ensure that the data can be recovered in the event of a disaster.
6. The multi-dimensional gas alarm system for a workshop production line according to claim 1 is characterized in that: The alarm module includes an audible and visual alarm unit, a visual alarm unit, a mobile alarm unit and a remote alarm unit. When the threshold value is exceeded in the audible and visual alarm unit, a high-decibel buzzer is used for on-site audible and visual alarm. When the threshold value is exceeded in the visual alarm unit, a flashing light or an LED display screen is used for visual prompts. When the threshold value is exceeded in the mobile alarm unit, an alarm message is sent to relevant personnel via SMS, phone call or mobile phone application. When the threshold value is exceeded in the remote alarm unit, the alarm message is uploaded to the cloud platform for remote viewing and processing by management personnel.
7. The multi-dimensional gas alarm system for a workshop production line according to claim 1 is characterized in that: The backup power supply module ensures that the system can still operate normally when the main power supply is cut off.
8. An alarm method for a multi-dimensional gas alarm system for a workshop production line, characterized in that: The following steps are involved: S1: Sensor placement and monitoring By deploying various types of sensors (such as methane, propane, carbon monoxide and other gas sensors) to detect different types of combustible and toxic gases, sensors are deployed at key nodes of the production line, areas prone to leakage, and corners with poor ventilation to ensure full coverage and real-time monitoring; S2: Data collection and transmission The sensor collects gas concentration data in real time and transmits the data to the central control system through wireless or wired networks, and stores important data redundantly to prevent data loss; S3: Data analysis and processing Threshold setting: Set multi-level concentration thresholds (such as warning threshold, alarm threshold, emergency threshold) according to the characteristics of different gases, and use big data analysis and machine learning algorithms to analyze the collected data in real time to determine whether there are abnormal conditions; S4: Classification alarm According to the different levels of gas concentration, different levels of alarms (early warning, alarm, emergency alarm) are triggered, and corresponding response measures are taken; S5: Response and linkage The system can be linked with the production line control system, ventilation system, fire extinguishing system, etc., and automatically take measures when dangerous gas concentration is detected, such as shutting down production equipment, starting exhaust fans, and spraying fire-fighting facilities; S6: Regular maintenance and drills Regularly calibrate and maintain sensors to ensure their sensitivity and accuracy, and regularly conduct emergency plan drills to improve employees' emergency response capabilities and familiarity; S7: Record and Track The system automatically records each alarm and response process and generates detailed logs to facilitate post-analysis and improvement. It analyzes historical monitoring data, identifies potential safety hazards, and optimizes system configuration and safety management measures.
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