Fuel gas safety detection and cut-off system

Abstract

The invention discloses a fuel gas safety detection and cut-off system, and relates to the technical field of fuel gas safety. The system comprises a sensor network, a control unit and an execution unit, the sensor network detects the gas concentration at different positions in the monitoring area in real time and compares the gas concentration detected in real time with a gas concentration safety threshold value, and if the gas concentration detected in real time is larger than the gas concentration safety threshold value, it is judged that the potential gas leakage risk exists in the monitoring area, and a gas closing control signal is generated; the control unit receives the gas concentration detected in real time, judges that the potential gas leakage risk exists in the monitoring area by analyzing the fluctuation trend of the gas concentration continuously detected in real time for multiple times, and generates a gas cut-off control signal; and the execution unit cuts off gas supply according to the gas closing control signal or the gas cutting control signal. The potential gas leakage risk can be intelligently detected, gas supply is automatically cut off, and the safety risk caused by gas leakage is effectively prevented.

Description

Technical Field

[0001] The present application relates to the field of gas safety technology, and in particular to a gas safety detection and cut-off system. Background Art

[0002] The safety risk caused by gas leakage is a common problem in modern society. Traditional gas safety systems have a series of limitations, including reliance on manual intervention, long response time, and inability to effectively prevent potential accidents. Therefore, there is an urgent need for an intelligent gas safety protection system to meet the safety needs of today's society. Summary of the invention

[0003] The purpose of this application is to provide a gas safety detection and cut-off system that can intelligently detect potential gas leakage risks, automatically cut off the gas supply, and effectively prevent safety risks caused by gas leakage.

[0004] To achieve the above objectives, this application provides the following solutions:

[0005] The present application provides a gas safety detection and cut-off system, comprising: a sensor network, a control unit and an execution unit; the sensor network is connected to the execution unit; the sensor network is used to detect the gas concentration at different positions in the monitoring area in real time, and compare the real-time detected gas concentration with the gas concentration safety threshold. If the real-time detected gas concentration is greater than the gas concentration safety threshold, it is determined that there is a potential gas leakage risk in the monitoring area, and a gas shut-off control signal is generated; the execution unit is used to cut off the gas supply according to the gas shut-off control signal; the control unit is connected to the sensor network and the execution unit respectively; the control unit is used to receive the real-time detected gas concentration, and by analyzing the fluctuation trend of the gas concentration detected in real time for multiple consecutive times, it is determined that there is a potential gas leakage risk in the monitoring area, and a gas shut-off control signal is generated; the execution unit is used to cut off the gas supply according to the gas shut-off control signal.

[0006] According to the specific embodiments provided in this application, this application has the following technical effects:

[0007] The present application provides a gas safety detection and cut-off system, in which a sensor network detects the gas concentration at different locations in the monitoring area in real time, and determines in real time whether there is a potential gas leakage risk. At the same time, the control unit determines whether there is a potential gas leakage risk by analyzing the fluctuation trend of the gas concentration detected in real time for multiple consecutive times. Potential gas leaks can be intelligently detected earlier, thereby reducing the risk of potential accidents; when the sensor network or the control unit determines that there is a potential gas leakage risk, the control execution unit cuts off the gas supply, automatically cuts off the gas supply, and effectively prevents the safety risks caused by gas leakage. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0009] Figure 1 This is a structural schematic diagram of a gas safety detection and cut-off system in one embodiment of the present application;

[0010] Figure 2 A schematic diagram of the composition of a cloud management platform provided in another embodiment of the present application. DETAILED DESCRIPTION

[0011] 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.

[0012] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0013] In order to solve a series of problems existing in the traditional gas safety system, such as dependence on manual intervention, long response time, and inability to effectively prevent gas leakage accidents, the present application provides, in an exemplary embodiment, Figure 1 As shown, the present application provides a gas safety detection and cut-off system, including: a sensor network, a control unit and an execution unit. The sensor network is connected to the execution unit; the control unit is connected to the sensor network and the execution unit respectively. The sensor network is used to detect the gas concentration at different locations in the monitoring area in real time, and compare the real-time detected gas concentration with the gas concentration safety threshold. If the real-time detected gas concentration is greater than the gas concentration safety threshold, it is determined that there is a potential gas leakage risk in the monitoring area, and a gas shut-off control signal is generated; the execution unit is used to cut off the gas supply according to the gas shut-off control signal. The control unit is used to receive the real-time detected gas concentration, and by analyzing the fluctuation trend of the gas concentration detected in real time for multiple consecutive times, it is determined that there is a potential gas leakage risk in the monitoring area, and a gas shut-off control signal is generated; the execution unit is used to cut off the gas supply according to the gas shut-off control signal.

[0014] In the above-mentioned gas safety detection and cut-off system, the sensor network detects the gas concentration at different locations in the monitoring area in real time, and determines in real time whether there is a potential gas leakage risk. At the same time, the control unit determines whether there is a potential gas leakage risk by analyzing the fluctuation trend of the gas concentration detected in real time for multiple consecutive times. Potential gas leaks can be detected intelligently earlier, thereby reducing the risk of potential accidents; when the sensor network or the control unit determines that there is a potential gas leakage risk, the control execution unit cuts off the gas supply and automatically cuts off the gas supply, effectively preventing the safety risks caused by gas leakage.

[0015] In another exemplary embodiment of the present application, the sensor network includes: a gas concentration sensor, a first microprocessor and a data analysis module. The gas concentration sensor is connected to the first microprocessor; the first microprocessor is connected to the data analysis module. The gas concentration sensor is used to detect the gas concentration at different locations in the monitoring area in real time and transmit it to the first microprocessor. The data analysis module is used to receive the gas concentration detected in real time in the first microprocessor, compare the real-time detected gas concentration with the gas concentration safety threshold, and if the real-time detected gas concentration is greater than or equal to the gas concentration safety threshold, it is determined that there is a potential gas leakage risk in the monitoring area, and a gas shutdown control signal is generated.

[0016] In another exemplary embodiment of the present application, the sensor network further includes: a temperature sensor and a human presence sensor. The temperature sensor and the human presence sensor are both connected to the first microprocessor. The first microprocessor is used to receive the ambient temperature detected by the temperature sensor and the human perception signal detected by the human presence sensor. The data analysis module is used to compare the current ambient temperature with the maximum allowable temperature after determining that there is a potential gas leakage risk in the monitoring area. If the current ambient temperature is greater than the maximum allowable temperature, it is determined that there is an explosion risk and an explosion alarm signal is generated; the execution unit is used to issue an alarm according to the explosion alarm signal. The data analysis module is also used to calculate the diffusion time from the gas to the human body when it is determined that there is a potential gas leakage risk in the monitoring area based on the human perception signal that there is a human body. If the diffusion time is less than the diffusion time safety threshold, an emergency avoidance signal is generated; the execution unit is also used to issue an alarm according to the emergency avoidance signal.

[0017] In another exemplary embodiment of the present application, the calculation formula for the diffusion time of the above-mentioned gas to the human body is:

[0018]

[0019] V gas =f(T env ,V air ).

[0020] Where T is the diffusion time of the gas to the human body, D is the diffusion distance of the gas, V gas is the gas diffusion rate; T env is the ambient temperature, V air is the air flow velocity, and f is the functional relationship between the gas diffusion rate and the ambient temperature and air flow velocity.

[0021] The following is a more detailed introduction to sensor networks.

[0022] From the above examples, it can be seen that in the implementation process, the sensor network is the core component of the system, which can monitor the gas concentration, the ambient temperature of the monitoring area, and the presence of human beings. These sensors are responsible for collecting environmental data in real time to ensure comprehensive monitoring. This comprehensive monitoring ensures a comprehensive understanding of the indoor environment and helps to detect potential dangers earlier.

[0023] The first microprocessor receives data signals from the sensor network, including multiple parameters such as gas concentration and temperature. These signals are processed by the intelligent control unit. Furthermore, the first microprocessor can also use complex algorithms to analyze these sensor data to determine whether there is a risk of gas leakage. If the risk of gas leakage is detected, the first microprocessor will generate a control signal to instruct the electric valve in the execution unit to cut off the gas supply and trigger the buzzer alarm. The final processing result, that is, the control signal, is output to the execution unit to execute the gas cut-off operation, and notify the user and relevant management units through the cloud management platform.

[0024] The data analysis module in the sensor network is configured to perform real-time analysis of gas concentration data using complex algorithms to detect and identify potential gas leaks and conduct quantitative assessments of them. Quantitative assessment means that after the module uses complex algorithms to perform real-time analysis of gas concentration data, it not only determines whether there is a possibility of gas leakage, but also conducts a quantitative assessment of the severity of the gas leakage, including:

[0025] Quantification of leakage concentration: The gas concentration detected by the sensor will be presented in the form of specific values. The data analysis module uses these values ​​to determine the scale or potential danger of the leakage.

[0026] Risk level classification: Based on the preset gas concentration safety threshold, the system can classify the gas leakage risk into different levels according to different concentration values.

[0027] Assessment of impact range: The system may calculate the diffusion range and potential impact area of ​​the gas leak by combining factors such as gas concentration, leakage duration, and ambient temperature. Calculation of diffusion range:

[0028] In the absence of wind: Diffusion coefficient D0 is the diffusion coefficient at reference temperature, and T0 is the reference temperature.

[0029] The Gaussian smoke puff model used in windy conditions is: Where Q is the leakage rate, μ is the wind speed, δ y , δ z is the diffusion factor.

[0030] Analysis in the time dimension: Through quantitative evaluation of real-time data, the system can track the changing trend of gas concentration, help analyze the progress or dissipation of the leak, and thus determine the urgency of the problem.

[0031] In summary, quantitative assessment determines the specific extent of the leak by performing precise numerical analysis on the detected gas concentration data.

[0032] The deployment of the sensor network is as follows:

[0033] In the first step of the system, the sensor network is deployed in the area where gas monitoring is required, such as a home, industrial facility, or commercial building. The sensor network includes multiple sensors that are distributed at different locations in the monitoring area. Each sensor is responsible for monitoring the gas concentration in a specific area. These sensors are configured to monitor the following parameters:

[0034] Gas concentration: The sensor measures the concentration of gases in the atmosphere, including natural gas, liquefied petroleum gas (LPG), etc.

[0035] Indoor temperature: The temperature sensor monitors the indoor temperature so as to take into account the effect of temperature on gas diffusion.

[0036] Human presence: Infrared or ultrasonic sensors are used to detect the presence of human bodies in the room to confirm whether there is anyone in the room.

[0037] Data analysis module calculation method:

[0038] Gas concentration safety threshold (C_threshold): The system sets a warning threshold. If the gas concentration exceeds this value, it is considered a potential gas leakage risk.

[0039] The threshold can be customized according to different environmental conditions and user requirements, and is usually set to 1000ppm (based on common gas safety standards).

[0040] Maximum allowable temperature (T_max): Set the upper limit of the ambient temperature. If the temperature exceeds this value, there may be a risk of explosion and the system will take emergency measures.

[0041] Diffusion time safety threshold (T_safe): Based on the gas diffusion calculation results, if the time for the gas to diffuse to the human body is less than a certain threshold (for example, 10 seconds), the system will issue an emergency evasion notification.

[0042] Comprehensive calculation process:

[0043] If the gas concentration is less than the gas concentration threshold, it is determined that there is no gas leakage risk.

[0044] If the gas concentration is greater than or equal to the gas concentration threshold, the system continues to analyze.

[0045] If the ambient temperature exceeds the maximum allowable temperature, it is judged that there is a risk of gas explosion. The system enters emergency mode, closes the gas valve and triggers an alarm.

[0046] If the presence of a person is detected, the gas diffusion time is calculated, and if the diffusion reaches the human body limit, it will trigger an emergency evacuation reminder. If the diffusion has not yet reached the human body, the system will sound an alarm, but the person has enough time to react.

[0047] Data output: All calculation results will be transmitted to the execution unit or uploaded to the cloud management platform for remote monitoring and further analysis.

[0048] Sensor data collection:

[0049] The sensor network regularly collects environmental data, including gas concentration, temperature and human presence. The data is transmitted in digital format to the intelligent control unit for processing.

[0050] The sensor network is configured to detect and identify multiple types of gas, including but not limited to natural gas, liquefied petroleum gas, methane and propane. The sensor network is usually configured with a self-calibration function to ensure stable and accurate gas concentration detection, while regular calibration to ensure reliability. The sensor network is configured to have explosion-proof and high-temperature resistant characteristics to adapt to different environmental conditions, including hazardous areas and extreme temperature environments. Among them, special treatment is performed in hardware design, material selection, packaging technology, etc. to ensure that the sensor can operate stably in hazardous and extreme environments. The sensor is equipped with an explosion-proof housing design. The joints and interfaces of the sensor usually need to undergo strict sealing treatment. The sealing material mostly uses high-temperature and corrosion-resistant sealants or sealing rings, such as silicone or fluororubber. The sensor network can be made high-temperature resistant by selecting high-temperature resistant materials.

[0051] In another exemplary embodiment of the present application, the control unit includes: a data interface, a logic processor, a storage, a control output and a communication module. The data interface is connected to the sensor network, the logic processor and the storage respectively; the data interface is used to receive the gas concentration detected in real time by the sensor network, and transmit it to the logic processor and the storage respectively. The logic processor is connected to the storage and the control output respectively; the logic processor is used to obtain the historically detected gas concentration from the storage, and through comprehensive analysis of the fluctuation trend of the historically detected gas concentration and the real-time detected gas concentration, determine whether there is a potential gas leakage risk in the monitoring area, and transmit it to the control output. The control output is connected to the communication module, and the communication module is connected to the execution unit; the control output is used to generate a gas cut-off control signal according to the determination result that there is a potential gas leakage risk in the monitoring area, and control the execution unit to cut off the gas supply through the communication module.

[0052] In another exemplary embodiment of the present application, the control unit further includes: a second microprocessor. The second microprocessor is connected to the sensor network and the control output device respectively. The second microprocessor is used to receive the gas shutoff control signal from the sensor network, and control the execution unit to cut off the gas supply via the control output device and the communication module.

[0053] The control unit is introduced in detail below.

[0054] The control unit is configured to receive gas concentration data received from the sensor and transmit gas leakage information to the user. The control unit determines whether there is a gas leakage risk based on the sensor data. If the risk exists, the control unit will send instructions to the execution unit to shut down the gas supply, trigger an alarm, and send a notification, thereby effectively avoiding safety risks.

[0055] The control unit is a central control device for receiving various data received from the sensor network. The unit is capable of analyzing and processing sensor data to identify potential gas leaks and trigger corresponding measures. The second microprocessor in the control unit is the core of the control unit, which is used to process sensor data, execute control logic, and generate corresponding control signals. The data interface in the control unit is required for the control unit to connect to the sensor network to receive sensor data. These data interfaces may involve the processing of analog and digital signals to ensure the accurate acquisition of sensor data. The storage in the intelligent control unit is used to store control logic, preset safety thresholds and other system parameters. The storage can also record historical data for subsequent analysis and maintenance. The logic processor in the control unit processes the data obtained from the sensor, compares and analyzes it according to the preset safety threshold, and determines whether there is a risk of gas leakage. The control output device in the control unit is responsible for receiving the control signal from the first microprocessor and converting it into an instruction that can be operated by the execution unit, such as controlling the opening or closing of the electric valve to cut off the gas supply. The communication module in the control unit is responsible for the communication between the intelligent control unit and the external system or cloud management platform. It sends the detection data and control signals of the sensor network to the cloud management platform and receives instructions or updates from the cloud.

[0056] The data processing of the data analysis module in the sensor network is different from that of the logic processor in the control unit. The data analysis module in the sensor network is mainly used for preliminary real-time analysis of sensor data. It is responsible for collecting and processing raw data from sensors and processing these data through complex algorithms, mainly to detect and identify potential gas leaks. The processing of this module is mainly focused on basic levels such as quantitative analysis and risk judgment of sensor data, and the processing is relatively limited to local analysis in the sensor network. The control unit receives processed data from the sensor network (including the data analysis module). The intelligent control unit is not only responsible for preliminary analysis of sensor data, but also for comprehensive analysis of multiple data sources, and for deeper judgment and decision-making in combination with preset control logic and safety thresholds. For example, it will make more comprehensive judgments (such as whether to cut off the gas supply and whether to issue an alarm) based on data from multiple sensors, historical records and preset thresholds. In addition, the intelligent control unit also has the function of executing system control commands, such as issuing instructions to the execution unit. The data analysis module is mainly used for real-time processing. It processes sensor data at short time intervals to ensure that it can respond quickly to potential gas leaks. This processing usually focuses on rapid response, performs simple algorithm analysis, and outputs a judgment on whether there is a gas leak in a timely manner. In addition to real-time data processing, the intelligent control unit may combine longer historical data for more in-depth analysis. Its processing is not limited to immediate decision-making, but also involves long-term judgment and control based on comprehensive information. For example, the system may make judgments based on the fluctuation trend of multiple sensor readings, rather than just a single leak event.

[0057] The control unit is configured to be integrated with a smart home system or a building automation system.

[0058] In another exemplary embodiment of the present application, the execution unit includes: a signal receiver, an electric valve and a buzzer alarm. The electric valve is installed on the gas pipeline, and the buzzer alarm is set in the monitoring area. The signal receiver is connected to the sensor network, the control unit, the electric valve and the buzzer alarm respectively. The signal receiver is used to receive a gas closing control signal or a gas cutting control signal, and control the electric valve to close and the buzzer alarm to sound an alarm according to the gas closing control signal or the gas cutting control signal.

[0059] The actuator is the part of the system that is responsible for executing the corresponding actions according to the results of the control unit. Once a potential gas leak is confirmed, the control unit triggers the action of the actuator. In this step, if a leak is detected, the actuator will perform an action: the electric valve in the system will automatically cut off the gas supply to quickly reduce the risk of leakage.

[0060] The electric valve is installed on the gas pipeline. When the intelligent control unit detects the risk of gas leakage, it will send a command to cut off the gas supply to the execution unit according to the preset logic judgment. After receiving the command, the execution unit controls the electric valve to perform the closing operation. The electric valve is equipped with a motor or drive device inside, which can adjust the state of the valve from fully open to fully closed according to the control signal. The closing operation of the electric valve cuts off the flow of gas and prevents the gas from continuing to leak into the environment. After the electric valve is closed, the execution unit sends a feedback signal to the intelligent control unit to confirm that the electric valve has been successfully closed. This feedback can be a simple status information to ensure the accuracy of the system operation. The electric valve can respond quickly to the control signal and quickly cut off the gas supply, thereby reducing the leakage time. The control of the electric valve is very precise and can cut off the gas supply without affecting normal use. The electric valve can also be operated automatically without human intervention. Once the system detects a risk, it can automatically perform the corresponding measures. In addition, the control of the electric valve can be carried out remotely, which is particularly useful in emergency situations to remotely cut off the gas supply.

[0061] Buzzer alarm trigger: The system triggers a buzzer alarm to immediately alert nearby residents or staff to ensure that users are notified in time.

[0062] In another exemplary embodiment of the present application, the gas safety detection and cut-off system further includes: a cloud management platform. The cloud management platform is connected to the sensor network, the control unit and the execution unit respectively. The cloud management platform is used to receive the gas concentration detected in real time by the sensor network and determine the location of the gas leakage. The cloud management platform is also used to receive the determination of the sensor network and the control unit that there is a potential gas leakage risk in the monitoring area, and display a gas leakage alarm according to the determination result that there is a potential gas leakage risk in the monitoring area; and remotely control the execution unit to cut off the gas supply according to the determination result that there is a potential gas leakage risk in the monitoring area.

[0063] In another exemplary embodiment of the present application, there are two ways for the cloud management platform to determine the location of the gas leak:

[0064] The first method is to determine the gas leakage area by comparing the gas concentrations detected by each sensor in the sensor network based on the different positions of the sensors in the monitoring area in the sensor network; construct a gas concentration distribution gradient map in the gas leakage area, and determine the sensor position corresponding to the maximum gas concentration in the gas concentration distribution gradient map as the gas leakage position.

[0065] The second method: Based on the real-time detection of gas concentration and environmental factors, the gas leak location is determined using triangulation or multi-point analysis.

[0066] In another exemplary embodiment of the present application, the cloud management platform is also used to predict the change in gas concentration in the future based on the change trend of gas concentration, and to infer whether the gas leakage will intensify or spread. The cloud management platform is also used to classify the current leakage event into different risk levels according to the gas concentration, leakage duration and ambient temperature. The cloud management platform is also used to compare the change in gas concentration of the current leakage event with the change in gas concentration of historical leakage events to determine whether they belong to similar leakage patterns.

[0067] Based on the contents of the above embodiments, the cloud management platform is described in detail below.

[0068] The cloud management platform is a central server based on cloud technology that communicates with the intelligent control units in the system. The platform is responsible for storing and managing sensor data while providing a user interface to deliver detailed gas leak information to joint management units and end users. It can also communicate with the cloud server for further analysis and recommendations.

[0069] The user end of the cloud management platform is an important part of the system, which can display gas leak information to users in a variety of ways. This includes multiple communication methods such as mobile phone applications, SMS notifications, email notifications, and phone notifications to ensure that users can receive alerts and information according to their preferences and needs.

[0070] The cloud management platform displays gas leak alarms to the joint management unit as well as users. The cloud management platform is configured to allow users to manually cut off the gas supply through remote control to take proactive measures in emergency situations. The cloud management platform is configured to communicate with the cloud server to obtain further analysis, trend monitoring and expert advice of gas leak events to provide more advanced gas safety support.

[0071] The intelligent control unit also communicates with the cloud management platform to transmit data and alarm information in real time. The cloud management platform is responsible for storing and managing sensor data and providing detailed gas leak information to joint management units and users. This information includes:

[0072] 1) Gas concentration curve: shows the changing trend of gas concentration over time.

[0073] 2) Leak location map: The map shows the specific location where the leak occurred.

[0074] 3) Event Log: records the timestamp of the event, details identifying the leak, and alert notifications.

[0075] 4) User Notification: Notifications are sent to users, including mobile applications, text messages, emails, and phone notifications, to ensure that users are informed of gas leaks in a timely manner.

[0076] The cloud server's further analysis of the gas leak incident and its results are as follows:

[0077] 1. Data Collection and Storage

[0078] The cloud server receives real-time data from the sensor network and the intelligent control unit. The cloud server stores this data and records detailed information about each gas leak, such as the time series of gas concentration changes, leak duration, location, alarm triggering time, etc.

[0079] 2. Comparative analysis of historical data

[0080] The cloud server not only processes real-time data, but also combines historical records for trend analysis. For example:

[0081] Compare the changes in gas concentration in the current leakage event with the concentration changes in historical leakage events to determine whether they belong to similar leakage patterns.

[0082] Analyze whether similar leaks have occurred under the same or similar environmental conditions (such as temperature, airflow, etc.).

[0083] Through this historical comparison, the cloud server can better predict the risk level of the current incident and determine whether the incident will further deteriorate or whether it is an isolated, minor incident.

[0084] 3. Risk assessment and trend prediction

[0085] The cloud server uses data models or predictive algorithms to assess the risk of a leak event. These algorithms may include:

[0086] Concentration change trend prediction: The cloud server predicts the concentration change in the future based on the change trend of the current concentration data, and infers whether the leakage will intensify or spread.

[0087] Risk level assessment: Based on data such as concentration, leakage duration, and environmental factors, the cloud server can classify leakage events into different risk levels (minor, moderate, and severe), providing a basis for decision-making in subsequent emergency response

[0088] Data-driven optimization suggestions: Based on historical data, the cloud server may make suggestions for system improvements, such as adding more sensors in certain areas or adjusting the response threshold of valves.

[0089] 4. Result output and notification

[0090] After the analysis is completed, the cloud server presents the results to relevant personnel or systems in a variety of ways, including:

[0091] Send reports to users: The reports include gas concentration change curves, leakage location maps, risk assessment results, emergency recommendations and other information.

[0092] Notify management units or emergency response agencies: If the assessment results show that the risk of a leak is high, the cloud server will immediately notify the relevant management units or emergency response departments so that they can take timely action.

[0093] Record and log management: The results, response measures and time points of each analysis will be recorded in the system log for subsequent audit or analysis.

[0094] Analysis results:

[0095] Leak Location: Determine the exact location of a leak through a network of sensors and data analysis.

[0096] Leakage scale and risk level: Quantitatively evaluate leakage events based on concentration, time and environmental conditions, and classify events into different risk levels.

[0097] Trend prediction: predict possible future leakage expansion or risk changes.

[0098] Emergency suggestions: Automatically generate emergency suggestions, such as closing gas valves, sending alarms, notifying management personnel, etc.

[0099] Optimization and improvement suggestions: Based on historical data and current events, make optimization suggestions for system improvements or countermeasures.

[0100] The analysis process of the cloud server aims to help users and management units better respond to gas leaks and minimize accident risks through more comprehensive data processing, historical analysis and risk prediction.

[0101] like Figure 2 As shown, the user end in the cloud management platform is configured to support multiple languages ​​and communication methods, including but not limited to mobile phone applications, SMS, email notifications, and phone notifications, to ensure that users can receive alerts and information according to their preferences and needs. Users can remotely control the system through the user interface of the cloud management platform and manually cut off the gas supply to take proactive measures to ensure safety.

[0102] The system of this application has three cut-off modes: one is automatic cut-off when the concentration reaches a certain level; the second is manual cut-off through the communication module when it cannot be cut off automatically; the third is manual cut-off by the platform supervisor when there is no human attention and the automatic start cannot be started. So each unit has it.

[0103] The key goal of the intelligent system is to monitor gas concentration in real time and cut off the gas supply in the fastest way to protect people's lives and property. This system can not only detect gas concentration, but also comprehensively consider multiple parameters such as indoor temperature and human presence to provide comprehensive environmental monitoring. Compared with traditional systems, this intelligent system can detect potential dangers earlier, reduce response time, and thus reduce the risk of potential accidents.

[0104] In addition, the system of the present application can also be combined with the cloud management platform to enable gas leakage information to be transmitted to the joint management unit and end users in real time. The cloud management platform provides detailed data and alarms, including gas concentration curves, leakage location maps and event logs, to help users fully understand the leakage event. At the same time, users can also remotely and manually cut off the gas supply through the cloud management platform to take proactive measures to ensure safety.

[0105] In general, this intelligent gas safety protection system represents a major technological advancement that can more effectively deal with gas leakage risks, reduce the possibility of accidents, and thus protect people's health and property. This is an innovation of great value and importance in today's society, which can provide reliable safety protection in a wide range of applications.

[0106] This application effectively prevents safety risks caused by gas leakage through the synergy of intelligent control units, sensor networks and execution units.

[0107] The technical effects of this application are as follows:

[0108] Comprehensive environmental monitoring: This application uses a network of sensors to monitor multiple parameters, including gas concentration, indoor temperature, human presence, etc. This comprehensive monitoring ensures a comprehensive understanding of the indoor environment and helps to detect potential dangers earlier.

[0109] Higher safety: By using complex algorithms and multi-parameter monitoring, this application improves the safety of the system. It can detect potential gas leaks earlier, thus reducing the risk of potential accidents.

[0110] Quickly cut off the supply: Once a potential leak is confirmed, the system of this application can automatically cut off the gas supply. This rapid response reduces the extent of potential harm and reduces the risk of accidents.

[0111] Detailed information and notifications: The cloud management platform stores and manages sensor data, providing detailed gas leak information to joint management units and users, including gas concentration curves, leak location maps, and event logs. This helps users fully understand leak events.

[0112] The system of the present application can be integrated into a smart home system or a building automation system to achieve more advanced automation and intelligent control.

[0113] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0114] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A gas safety detection and cut-off system, characterized in that: The gas safety detection and cut-off system comprises: a sensor network, a control unit and an execution unit; The sensor network is connected to the execution unit; the sensor network is used to detect the gas concentration at different locations in the monitoring area in real time, and compare the real-time detected gas concentration with the gas concentration safety threshold. If the real-time detected gas concentration is greater than the gas concentration safety threshold, it is determined that there is a potential gas leakage risk in the monitoring area, and a gas shutoff control signal is generated; the execution unit is used to cut off the gas supply according to the gas shutoff control signal; The control unit is connected to the sensor network and the execution unit respectively; the control unit is used to receive the real-time detected gas concentration, and by analyzing the fluctuation trend of the gas concentration detected in real time for multiple consecutive times, it is determined that there is a potential gas leakage risk in the monitoring area, and a gas cut-off control signal is generated; the execution unit is used to cut off the gas supply according to the gas cut-off control signal.

2. The gas safety detection and cut-off system according to claim 1, characterized in that: The sensor network includes: a gas concentration sensor, a first microprocessor and a data analysis module; The gas concentration sensor is connected to the first microprocessor; the gas concentration sensor is used to detect the gas concentration at different locations in the monitoring area in real time and transmit it to the first microprocessor; The first microprocessor is connected to the data analysis module; the data analysis module is used to receive the gas concentration detected in real time in the first microprocessor, compare the real-time detected gas concentration with the gas concentration safety threshold, and if the real-time detected gas concentration is greater than or equal to the gas concentration safety threshold, it is determined that there is a potential gas leakage risk in the monitoring area, and a gas shutdown control signal is generated.

3. The gas safety detection and cut-off system according to claim 2 is characterized in that: The sensor network also includes: a temperature sensor and a human presence sensor; The temperature sensor and the human presence sensor are both connected to the first microprocessor; The first microprocessor is used to receive the ambient temperature detected by the temperature sensor and the human body perception signal detected by the human body presence sensor; The data analysis module is used to compare the current ambient temperature with the maximum allowable temperature after determining that there is a potential gas leakage risk in the monitoring area. If the current ambient temperature is greater than the maximum allowable temperature, it is determined that there is an explosion risk and an explosion alarm signal is generated; the execution unit is used to issue an alarm according to the explosion alarm signal; The data analysis module is also used to calculate the diffusion time from the gas to the human body when it is determined that there is a potential risk of gas leakage in the monitoring area and when the presence of a human body is determined based on the human perception signal. If the diffusion time is less than the diffusion time safety threshold, an emergency avoidance signal is generated; the execution unit is also used to issue an alarm according to the emergency avoidance signal.

4. The gas safety detection and cut-off system according to claim 3 is characterized in that: The formula for calculating the diffusion time of gas to the human body is: V gas =f(T env ,V air ); Where T is the diffusion time of the gas to the human body, D is the diffusion distance of the gas, V gas is the gas diffusion rate; T env is the ambient temperature, V air is the air flow velocity, and f is the functional relationship between the gas diffusion rate and the ambient temperature and air flow velocity.

5. The gas safety detection and cut-off system according to claim 1, characterized in that: The control unit includes: a data interface, a logic processor, a storage, a control output device and a communication module; The data interface is connected to the sensor network, the logic processor and the storage respectively; the data interface is used to receive the gas concentration detected in real time by the sensor network and transmit it to the logic processor and the storage respectively; The logic processor is connected to the storage device and the control output device respectively; the logic processor is used to obtain the gas concentration detected in history from the storage device, and determine the potential gas leakage risk in the monitoring area by comprehensively analyzing the fluctuation trend of the gas concentration detected in history and the gas concentration detected in real time, and transmit it to the control output device; The control output device is connected to the communication module, and the communication module is connected to the execution unit; the control output device is used to generate a gas cut-off control signal according to the determination result that there is a potential gas leakage risk in the monitoring area, and control the execution unit to cut off the gas supply through the communication module.

6. The gas safety detection and cut-off system according to claim 5, characterized in that: The control unit further comprises: a second microprocessor; The second microprocessor is connected to the sensor network and the control output device respectively; The second microprocessor is used to receive the gas shutoff control signal from the sensor network, and control the execution unit to cut off the gas supply via the control output device and the communication module.

7. The gas safety detection and cut-off system according to claim 1, characterized in that: The execution unit includes: a signal receiver, an electric valve and a buzzer alarm; The electric valve is installed on the gas pipeline, and the buzzer alarm is set in the monitoring area; The signal receiver is respectively connected with the sensor network, the control unit, the electric valve and the buzzer alarm; The signal receiver is used to receive a gas closing control signal or a gas cutting control signal, and control the electric valve to close and the buzzer alarm to sound an alarm according to the gas closing control signal or the gas cutting control signal.

8. The gas safety detection and cut-off system according to claim 1, characterized in that: The gas safety detection and cut-off system also includes: a cloud management platform; The cloud management platform is connected to the sensor network, the control unit and the execution unit respectively; The cloud management platform is used to receive the gas concentration detected in real time by the sensor network and determine the location of the gas leak; The cloud management platform is also used to receive the sensor network and control unit's determination that there is a potential gas leakage risk in the monitoring area, and display a gas leakage alarm based on the determination result that there is a potential gas leakage risk in the monitoring area; and remotely control the execution unit to cut off the gas supply based on the determination result that there is a potential gas leakage risk in the monitoring area.

9. The gas safety detection and cut-off system according to claim 8, characterized in that: The cloud management platform determines the location of the gas leak in two ways: The first method is to determine the gas leakage area by comparing the gas concentrations detected by each sensor in the sensor network based on the different locations of the sensors in the monitoring area. A gas concentration distribution gradient map in the gas leakage area is constructed, and the sensor position corresponding to the maximum gas concentration in the gas concentration distribution gradient map is determined as the gas leakage position. The second method: Based on the real-time detection of gas concentration and environmental factors, the gas leak location is determined using triangulation or multi-point analysis.

10. The gas safety detection and cut-off system according to claim 8, characterized in that: The cloud management platform is also used to predict the change of gas concentration in the future based on the change trend of gas concentration, and to infer whether the gas leakage will intensify or spread; The cloud management platform is also used to classify the current leakage event into different risk levels according to gas concentration, leakage duration and ambient temperature; The cloud management platform is also used to compare the change in gas concentration of the current leakage event with the change in gas concentration of historical leakage events to determine whether they belong to similar leakage modes.

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