Gas safety big data management and control system

Abstract

The invention provides a fuel gas safety big data management and control system, and relates to the technical field of intelligent supervision, and the system is characterized in that the system comprises a gas station safety supervision module, a fuel gas storage tank pipeline supervision module, a distribution supervision module and a data processing module, the gas station safety supervision module comprises a plurality of camera devices, the camera shooting device can shoot the surrounding environment of the storage device or the inflation device, the AI recognition module obtains related information, the AI recognition module judges whether the gas cylinder is a qualified gas cylinder or not, the operator limb movement records whether the operation state of the device is normative and normal or not at the same time, unqualified and non-normative behaviors can be automatically captured, and the safety of the gas cylinder is guaranteed. The data are uploaded to the data processing module for timely supervision and correction by a management department; the data processing module receives the device operation state information at the same time and is used for monitoring the operation state of the corresponding device for a long time. The method has the advantages that the potential safety hazards can be accurately and efficiently recognized, control and early warning can be timely and effectively carried out, and therefore the potential safety hazards can be reduced.

Description

Technical Field

[0001] The present invention relates to the field of intelligent supervision technology, and in particular to a gas safety big data management and control system. Background Art

[0002] Gas safety concerns every household. The State Council Safety Committee has proposed a gas safety rectification plan. However, there is a lack of supply to gas management departments at all levels. The Internet of Things big data model is compatible with various software systems. This data collection and processing system can only perform normal data supervision on each gas usage location, and cannot provide timely instructions or directly shut down related operations, resulting in timely and effective control in the event of an emergency, which cannot guarantee the normal operation of related equipment and cannot meet existing usage needs. Summary of the invention

[0003] The purpose of the present invention is to provide a gas safety big data management and control system, which solves the technical problem that the prior art cannot accurately supervise and safely manage gas usage operations, and achieves the technical effect of accurately identifying the gas operation and usage status, and conducting timely alarm and supervision.

[0004] In order to achieve the above-mentioned object of the invention, the technical solution adopted by the present invention is:

[0005] A gas safety big data management and control system includes a gas station safety supervision module, a gas storage tank pipeline supervision module, a distribution supervision module and a data processing module. The gas station safety supervision module includes multiple cameras, which are respectively arranged in the storage area and the charging area for real-time supervision. The camera can shoot the surrounding environment of the storage device or the charging device, and the AI ​​recognition module obtains the relevant actions of the operator when the device is running. The AI ​​recognition module will determine whether it is a qualified gas cylinder. The operator's body movements will also record whether the operating status of the device is normal. Unqualified and non-standard behaviors will be automatically captured and uploaded to the data processing module. , for the management department to supervise and correct in time; the data processing module will also receive the device operation status information, and cooperate with the AI ​​screen to identify whether the current station staff are performing illegal operations. The gas pipeline supervision module includes multiple liquid level, temperature, pressure, leakage sensors and remote control valves. The sensor control device is set at the key position of the liquefied gas and natural gas stations to monitor the operation status of the corresponding devices for a long time. The traditional PLC line control system used nationwide has many wiring contacts. A liquid level sensor requires a power line, a data line, and an electromagnetic switch control for a total of 7 lines. Hundreds of lines are required from the gas station to the control box, requiring a large control cabinet;

[0006] This system uses an advanced DSC computer control system. Only one 4-core cable, one pair of power lines, and one pair of 485 control lines are needed from the monitoring room to the storage area. WiFi, LOLa, and 5G wireless transmission can also be realized. Pneumatic emergency shut-off valve control can be used to input simulated test data for regular testing of temperature, liquid level, and pressure. There are few wiring connections, low cost, and convenient adjustment. At the same time, the video content information will be uploaded to the data processing module together with the operating status information of the device for abnormal state identification. The remote control valve has a liquid level meter inside, which can monitor the gas flow in the pipeline in real time. The remote control valve will be sent to the data processing module through wireless sensor information. When abnormal information is identified, the valve will be closed through wireless remote control.

[0007] As an improvement, the gas station safety supervision module also includes distribution supervision, which will record the QR code of each gas cylinder device, and record its detailed status every time it is used, transported, and filled. The data processing module will collect gas cylinder information and identify whether it has exceeded the inspection and service life in combination with the records in the database, and whether it has been filled with non-self-owned gas cylinders to prevent disorderly market competition and gas cylinder loss. The camera device will also take pictures of the corresponding gas cylinder equipment, and after AI recognition, it will be determined from the appearance whether the gas cylinder equipment is damaged to ensure the safe use of related equipment. This system It includes a smart and caring ventilation room, which uses gas cards to automatically identify users, adopts video conversations and wireless monitoring to realize automatic payment, automatically scans the QR codes of empty and heavy bottles, and uses chain conveyor belts to automatically collect empty bottles and send out heavy bottles. The ventilation work is completed without human control. The charge is increased by 2 yuan for door-to-door security inspection, which solves the problem that users who pick up gas by themselves cannot undergo security inspection. It supports the gas station to implement automated chain-driven turntable filling, completes automatic cleaning of gas cylinders, automatic identification and scanning, automatic unmanned filling, automatic leak detection and automatic weighing, and uses a forklift to automatically load and unload gas cylinders, increasing the safety factor.

[0008] As an improvement, the gas station safety supervision module also includes air environment monitoring, which is composed of multiple groups of gas sensors. The gas sensors are respectively arranged in the inflation area, the storage area and the periphery of the area. The gas sensors can detect gas leaks, and the gas sensor alarm can automatically close the solenoid valve according to the detected gas to ensure safety. Then the data processing module will further judge and identify the safety hazard information. If it meets the alarm requirements, the emergency management department and the gas station safety maintenance personnel will be contacted to deal with the hazard.

[0009] As an improvement, the gas pipeline supervision module will set pressure, temperature, liquid level and leakage alarm at each bottled liquefied gas station and natural gas site to automatically control the solenoid valve to shut down the gas source, and monitor the overall changes through Al video. At the same time, the operating status of the device will be uploaded to the data processing module for problem identification and judgment. The gas pipeline supervision module also includes natural gas household supervision, which will cooperate with leak detectors and safety valves to record the overall usage status. At the same time, temperature sensors will be installed around the pipeline to identify the ambient temperature. The ambient temperature information will be uploaded to the data processing module for abnormal status judgment. When the data processing module identifies the corresponding abnormal information, it will be marked and uploaded to the emergency management department for processing.

[0010] As an improvement, the gas supervision module can receive standard data sent by various companies through a data interface or an intermediate library using a specified format and code, be compatible with various software systems, and upload classified gas module monitoring data at the county, city, province, and national levels. It can provide real-time operation monitoring data of gas users, gas delivery workers, distribution vehicles, service outlets, and gas stations within its jurisdiction to residential properties, community street committees, urban management squadrons, gas departments, market supervision bureaus, and emergency management bureaus according to usage permissions. After identifying a large number of abnormal alarm information, it is sent to management departments at all levels according to usage permissions through big data analysis, and abnormal data information is corrected in a timely manner. Normal reports and abnormal data reports are automatically printed and uploaded, and an integrated real-time monitoring and management platform is built nationwide. There is no need to establish cumbersome gas monitoring big data management systems that are simply for statistical data but have no effective functions. It can become a tool that management departments at all levels can use computers or mobile phones to monitor and manage, and it can also become a tool for safety management of liquefied gas stations and gas station staff, assisting cities in completing standardized distribution integration, ensuring social stability, eliminating gas safety hazards, and avoiding and reducing accidents.

[0011] The beneficial effects of the present invention are as follows: by setting up multiple video monitoring devices and cooperating with AI image recognition, the operation and running status information of the corresponding devices can be accurately obtained. At the same time, it can be identified whether the operator is performing the correct operation, and it can be identified through the image whether the relevant gas cylinders and pipeline equipment are in a normal state, thereby improving the supervision accuracy and effect. By cooperating with the data processing module, the operation data and the image data can be processed and identified, so as to accurately determine whether an abnormal state occurs, and the alarm can be shut down in time to avoid losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 This is a flow chart of a gas safety big data management and control system of the present invention. DETAILED DESCRIPTION

[0013] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0014] It should be noted that the terms "first" and "second" in this application are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Thus, the features defined as "first" and "second" can explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "multiple" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally also includes steps or units that are not listed, or optionally also includes other steps or units inherent to these processes, methods, products or devices.

[0015] like Figure 1As shown, a gas safety big data management and control system includes a gas station safety supervision module, a gas storage tank pipeline supervision module, a distribution supervision module and a data processing module. The gas station safety supervision module includes a plurality of camera devices, which are respectively arranged in the storage area and the charging area for real-time supervision. The camera device can shoot the surrounding environment of the storage device or the charging device, and the AI ​​recognition module obtains the relevant actions of the operator when the device is running. The AI ​​recognition module will determine whether it is a qualified gas cylinder, and the operator's body movements will also record whether the operating status of the device is normal. Unqualified and non-standard behaviors will be automatically captured and uploaded to the data processing module for timely supervision and correction by the management department; the data processing module will also receive the device operation status information, and cooperate with the AI ​​screen to identify whether the current station staff is in Illegal operations are carried out. The gas pipeline supervision module includes multiple liquid level, temperature, pressure, leakage sensors and remote control valves. The sensor control device is arranged at the key position of the liquefied gas and natural gas stations for long-term monitoring of the operation status of the corresponding devices. The traditional system used in the country is the PLC wire control system with many wiring contacts. A liquid level sensor requires a power line, a data line and an electromagnetic switch control, a total of 7 lines. Hundreds of lines are required from the gas station to the control box, and a large control cabinet is required; this system uses an advanced DSC computer control system. Only a 4-core cable, a pair of power lines, and a pair of 485 control lines are required from the monitoring room to the storage area. WiFi, LOLa, and 5G wireless transmission can also be realized; using pneumatic emergency shut-off valve control, you can arbitrarily input simulated test data to conduct regular tests on temperature, liquid level, and pressure. Less wiring, low cost, easy adjustment, and video content information will be uploaded to the data processing module together with the device's operating status information for abnormal status identification. The remote control valve has a liquid level meter inside, which can monitor the gas flow in the pipeline in real time. The remote control valve will send wireless sensor information to the data processing module. When abnormal information is identified, the valve will be closed through wireless remote control. When in use, additional camera devices can be set up according to specific usage requirements and connected to the data management module to achieve more comprehensive supervision.

[0016] The gas station safety supervision module also includes distribution supervision, which will record the QR code of each gas cylinder device, and record its detailed status every time it is used, transported, and filled. The data processing module will collect gas cylinder information and identify whether it has exceeded the inspection and service life in combination with the records in the database, and identify whether it is filled with non-self-owned gas cylinders to prevent disorderly market competition and gas cylinder loss. The camera device will also take pictures of the corresponding gas cylinder equipment, and after AI recognition, it will judge whether the gas cylinder equipment is damaged from the appearance to ensure the safe use of related equipment. This system includes The smart love ventilation room uses gas cards to automatically identify users, uses video conversations and wireless monitoring to achieve automatic payment, automatically scans the empty and re-bottle QR codes, uses chain conveyors to automatically collect empty bottles and send out re-bottles, and completes the ventilation work without human control. The fee adds 2 yuan for door-to-door security inspection, which solves the problem that users who pick up gas by themselves cannot undergo security inspections. It supports gas stations to implement automated chain-driven turntable filling, complete automatic cleaning of gas cylinders, automatic identification and scanning, automatic unmanned filling, automatic leak detection and automatic weighing, and use forklifts to complete automatic loading and unloading of gas cylinders, increasing the safety factor. The gas station safety supervision module also includes air environment monitoring, which is composed of multiple groups of gas sensors. The gas sensors are respectively arranged in the inflation area, storage area and the periphery of the area. The gas sensors can detect gas leaks, and the gas sensor alarm can automatically close the solenoid valve according to the detected gas to ensure safety. The data processing module will then further judge and identify the safety hazard information. If it meets the alarm requirements, it will contact the emergency management department and the gas station safety maintenance personnel to deal with the hazard. The relevant management department will record the hidden danger handling information and upload the information to the data processing module.

[0017] The gas pipeline monitoring module will set pressure, temperature, liquid level and leakage alarm at each bottled liquefied gas station and natural gas site to automatically control the solenoid valve to shut down the gas source, and use Al video to monitor the overall changes. At the same time, the operating status of the device will be uploaded to the data processing module for problem identification and judgment. The gas pipeline monitoring module also includes natural gas household supervision, which will cooperate with leak detectors and safety valves to record the overall usage status. At the same time, temperature sensors will be installed around the pipeline to identify the ambient temperature. The ambient temperature information will be uploaded to the data processing module for abnormal status judgment. When the data processing module identifies the corresponding abnormal information, it will be marked and uploaded to the emergency management department for processing. The gas monitoring module can receive standard data sent by various companies through a data interface or an intermediate library using a specified format and code, is compatible with various software systems, and uploads classified gas module monitoring data at the county, city, province, and national levels. It can provide real-time operation monitoring data of gas users, gas delivery workers, distribution vehicles, service outlets, and gas stations within its jurisdiction to residential properties, community street committees, urban management squadrons, gas departments, market supervision bureaus, and emergency management bureaus according to usage permissions. After identifying a large number of abnormal alarm information, it is sent to management departments at all levels according to usage permissions through big data analysis, and abnormal data information is corrected in a timely manner. Normal reports and abnormal data reports are automatically printed and uploaded. An integrated real-time monitoring and management platform is built across the country. There is no need to establish cumbersome gas monitoring big data management systems that are simply for statistical data but have no effective functions. It can become a tool that management departments at all levels can use computers or mobile phones to monitor and manage, and it can also become a tool for safety management of liquefied gas stations and gas station staff, assisting cities in completing standardized distribution integration, ensuring social stability, eliminating gas safety hazards, and avoiding and reducing accidents.

[0018] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention shall be included in the protection scope of the present invention.

Claims

1. A gas safety big data management and control system, characterized in that: It includes a gas station safety supervision module, a gas tank pipeline supervision module, a distribution supervision module and a data processing module. The gas station safety supervision module includes multiple explosion-proof camera devices, which are respectively set up in the storage area and the inflation area for real-time supervision. The camera device can shoot the surrounding environment of the storage device or the inflation device, and the AI ​​recognition module obtains the relevant actions of the operator when the device is running. The AI ​​recognition module will determine whether it is a qualified gas cylinder. The operator's body movements will also record whether the operating status of the device is normal. Unqualified and non-standard behaviors will be automatically captured and uploaded to the data processing module for the management department to Timely supervision and correction; the data processing module will also receive the device operation status information, and cooperate with the AI ​​screen to identify whether the current station staff has performed illegal operations. The gas pipeline supervision module includes multiple liquid level, temperature, pressure, leakage sensors and remote control valves. The sensor control device is set at the key position of the liquefied gas and natural gas stations to monitor the operation status of the corresponding devices for a long time. The traditional PLC line control system used nationwide has many wiring contacts. A liquid level sensor requires a power line, a data line, and an electromagnetic switch control for a total of 7 lines. Hundreds of lines are required from the gas station to the control box, which requires a large control cabinet; This system uses an advanced DSC computer control system. Only one 4-core cable, one pair of power lines, and one pair of 485 control lines are needed from the monitoring room to the storage area. WiFi, LOLa, and 5G wireless transmission can also be realized. Pneumatic emergency shut-off valve control can be used to input simulated test data for regular testing of temperature, liquid level, and pressure. There are few wiring connections, low cost, and convenient adjustment. At the same time, the video content information will be uploaded to the data processing module together with the operating status information of the device for abnormal state identification. The remote control valve has a liquid level meter inside, which can monitor the gas flow in the pipeline in real time. The remote control valve will be sent to the data processing module through wireless sensor information. When abnormal information is identified, the valve will be closed through wireless remote control.

2. A gas safety big data management and control system according to claim 1, characterized in that: The gas station safety supervision module also includes distribution supervision, which will record the QR code of each gas cylinder device, and record its detailed status every time it is used, transported, and filled. The data processing module will collect gas cylinder information and identify whether it has exceeded the inspection and service life in combination with the records in the database, and identify whether it is filled with non-self-owned gas cylinders to prevent disorderly market competition and gas cylinder loss. The camera device will also take pictures of the corresponding gas cylinder equipment, and after AI recognition, it will judge whether the gas cylinder equipment is damaged from the appearance to ensure the safe use of related equipment. This system includes The smart and caring ventilation room uses gas cards to automatically identify users, adopts video conversations and wireless monitoring to realize automatic payment, automatically scans the QR codes of empty and heavy bottles, and uses chain conveyor belts to automatically collect empty bottles and send out heavy bottles. The ventilation work is completed without human control. The charge is increased by 2 yuan for door-to-door security inspection, which solves the problem that users who pick up gas by themselves cannot undergo security inspection. It supports the gas station to implement automated chain-driven turntable filling, completes automatic cleaning of gas cylinders, automatic identification and scanning, automatic unmanned filling, automatic leak detection and automatic weighing, and uses forklifts to automatically load and unload gas cylinders, increasing the safety factor.

3. A gas safety big data management and control system according to claim 2, characterized in that: The gas station safety supervision module also includes air environment monitoring, which is composed of multiple groups of gas sensors. The gas sensors are respectively arranged in the inflation area, the storage area and the periphery of the area. The gas sensor can detect gas leakage, and the gas sensor alarm can automatically close the solenoid valve according to the detected gas to ensure safety. Then the data processing module will further judge and identify the safety hazard information. If it meets the alarm requirements, the emergency management department and the gas station safety maintenance personnel will be contacted to deal with the hazard.

4. A gas safety big data management and control system according to claim 1, characterized in that: The gas pipeline monitoring module will set pressure, temperature, liquid level and leakage alarm at each bottled liquefied gas station and natural gas site to automatically control the solenoid valve to shut down the gas source, and use Al video to monitor the overall changes. At the same time, the operating status of the device will be uploaded to the data processing module for problem identification and judgment. The gas pipeline monitoring module also includes natural gas household supervision, which will cooperate with leak detectors and safety valves to record the overall usage status. At the same time, temperature sensors will be installed around the pipeline to identify the ambient temperature. The ambient temperature information will be uploaded to the data processing module for abnormal status judgment. When the data processing module identifies the corresponding abnormal information, it will be marked and uploaded to the emergency management department for processing.

5. A gas safety big data management and control system according to claim 4, characterized in that: The gas monitoring module can receive standard data sent by various companies through a data interface or an intermediate library using a specified format and code, is compatible with various software systems, and uploads classified gas module monitoring data at the county, city, province, and national levels. It can provide real-time operation monitoring data of gas users, gas delivery workers, distribution vehicles, service outlets, and gas stations within its jurisdiction to residential properties, community street committees, urban management squadrons, gas departments, market supervision bureaus, and emergency management bureaus according to usage permissions. After identifying a large number of abnormal alarm information, it is sent to management departments at all levels according to usage permissions through big data analysis, and abnormal data information is corrected in a timely manner. Normal reports and abnormal data reports are automatically printed and uploaded. An integrated real-time monitoring and management platform is built across the country. There is no need to establish cumbersome gas monitoring big data management systems that are simply for statistical data but have no effective functions. It can become a tool that management departments at all levels can use computers or mobile phones to monitor and manage, and it can also become a tool for safety management of liquefied gas stations and gas station staff, assisting cities in completing standardized distribution integration, ensuring social stability, eliminating gas safety hazards, and avoiding and reducing accidents.

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