Gas alarm and bidirectional linkage control method thereof

Abstract

The invention discloses a gas alarm and a bidirectional linkage control method thereof, and the method comprises the steps: monitoring of gas concentration: gas sensors are installed at the initial end and the tail end of a liquefied gas pipeline, and a leakage threshold value is set based on the detection difference value of the gas sensors at the initial end and the tail end; the monitoring module monitors a difference value detected by the gas sensors at the initial end and the tail end, compares the difference value with a leakage threshold value, then bidirectionally transmits wireless data to the controller unit through the Bluetooth module, and if the difference value exceeds the leakage threshold value, the controller unit is started; the controller unit controls alarming of the alarm, closing of a valve of the liquefied gas pipeline, opening of the exhaust fan and linkage of fire-fighting equipment. And cloud processing correction of the leakage threshold: setting a cloud processing platform to carry out data integration on the user feedback data, and carrying out data correction on the leakage threshold based on the integrated user feedback data so as to adapt to updating of the liquefied gas system. The two-way linkage of the safety system can be realized, so that the intelligent safety control is realized.

Description

Technical Field

[0001] The present invention belongs to the technical field of gas alarms, and in particular relates to a gas alarm and a two-way linkage control method thereof. Background Art

[0002] With the acceleration of urbanization, gas has been widely used as an important energy source in households, catering and industrial fields. However, gas leakage and the potential safety hazards it causes have seriously affected people's life safety and property safety. Therefore, the research and development and application of gas alarms have become particularly important.

[0003] A gas alarm is a safety device used to detect gas leaks and sound an alarm. Traditional gas alarms are usually based on sensor technology and can monitor the gas concentration in the air in real time. When the gas concentration is detected to exceed the set threshold, the alarm will sound an audible and visual alarm to remind the user to take appropriate measures. Although such equipment has played a positive role in preventing gas leak accidents, the gas leak monitoring, early warning or alarm system for liquefied gas is a traditional one-way communication method using wired or wireless communication.

[0004] Moreover, the existing gas alarm has some shortcomings in setting the detection threshold:

[0005] Most gas alarms in the prior art use fixed alarm thresholds, and the system often lacks a user feedback mechanism, which means that once the threshold is set, it cannot be dynamically adjusted according to environmental changes. When the environment changes, the fixed threshold may not be able to adapt, resulting in false alarms or missed alarms. Summary of the invention

[0006] The present invention aims at solving the problems in the prior art and proposes the following technical solutions:

[0007] A gas alarm and a two-way linkage control method thereof, wherein the gas alarm comprises a gas sensor for monitoring liquefied gas concentration, a controller unit, a Bluetooth module for wireless data transmission, a monitoring module, a power module and a cloud processing platform;

[0008] The two-way linkage control method of the gas alarm comprises the following steps:

[0009] S100, monitoring of gas concentration: the gas sensors are installed at the initial end and the final end of the liquefied gas pipeline, and the leakage threshold is set based on the difference in detection values ​​of the gas sensors at the initial end and the final end;

[0010] S200, gas leakage processing: the monitoring module monitors the difference between the gas sensors at the initial end and the final end and compares it with the leakage threshold, and then transmits the wireless data to the controller unit via the Bluetooth module in both directions. If the leakage threshold is exceeded, the controller unit controls the alarm, the valve of the liquefied gas pipeline is closed, the exhaust fan is turned on, and the fire fighting equipment is linked;

[0011] S300, cloud processing correction of leakage threshold: a cloud processing platform is established to integrate user feedback data, and based on the integrated user feedback data, the leakage threshold is corrected to adapt to the update of the liquefied gas system.

[0012] As a preferred embodiment of the above technical solution, the leakage threshold is a multi-stage design, including a type 1 leakage threshold, a type 2 leakage threshold and a type 3 leakage threshold that increase in sequence;

[0013] The type 1 leakage threshold is the difference range of gas sensor detection at the initial end and the final end caused by conventional reasons such as pipeline pressure. The type 2 leakage threshold is only the alarm of the alarm. The type 3 leakage threshold includes the alarm of the alarm, the closing of the valve of the liquefied gas pipeline, the opening of the exhaust fan and the linkage of the fire-fighting equipment.

[0014] As a preferred embodiment of the above technical solution, the monitoring module and the controller unit include a comprehensive control system model, and the formula of the control model is:

[0015]

[0016] Among them, U(t) represents the control output signal of the system, which determines the actual control behavior of the system (such as starting an alarm, adjusting a valve, changing the operating status of the equipment, etc.). The unit of the control signal depends on the specific control system, such as voltage (V), pressure (Pa), flow (L / min), etc.

[0017] E(t) represents the error at time t, E(t) = E1(t) - E2(t), where E1(t) is the detection value of the gas sensor at the initial end, and E2(t) is the detection value of the gas sensor at the final end;

[0018] K p Represents proportional gain, which is a gain coefficient proportional to the error in the control system. It determines the degree of influence of the current error size on the control output, and its function is to increase the system's response to the error;

[0019] K i Indicates the integral gain, which is a gain factor proportional to the accumulated value of the error. It handles the long-term deviation of the system (i.e., the integral of the error) and helps eliminate persistent, small errors.

[0020] Kd It represents the differential gain, which is a gain coefficient proportional to the error change rate (i.e., the derivative of the error). It is used to predict the error trend and generate an advance control signal to reduce overshoot and oscillation.

[0021] The integral term represents the error, which is the accumulation of error over time and represents the cumulative response of the system to past errors. By integrating, the steady-state error of the system can be eliminated;

[0022] The differential term of the error is the rate of change of the error, which indicates the amount of change of the error per unit time. It is used to predict the trend of the error change and make adjustments in advance.

[0023] The integrated control system model is used to monitor and regulate the stable delivery of liquefied gas at the end of the pipeline within the type I leakage threshold.

[0024] As a preferred embodiment of the above technical solution, the controller unit further includes at least one set of backup control circuits;

[0025] The standby control circuit includes a sound sensor and a standby single chip microcomputer.

[0026] As a preferred embodiment of the above technical solution, the user feedback data model in S300 is:

[0027]

[0028] In the formula, S i represents the feedback data of the i-th user; n represents the total number of feedback users;

[0029] The adjustment model of the system based on user feedback is:

[0030] A(t)=A0+K·(F-F0);

[0031] Where A(t) represents the adjustment parameters of the adjustment model at time t; A0 represents the last adjustment parameters;

[0032] K represents the gain coefficient; F0 represents the user feedback data of the last adjustment.

[0033] As a preferred embodiment of the above technical solution, the Bluetooth module dynamically monitors the leakage of liquefied gas in a timely manner based on the two-way transmission of Bluetooth data;

[0034] The Bluetooth module uses BLE technology to achieve two-way wireless data transmission between the monitoring module and the controller unit, and real-time perception of the online status and correction of the solenoid valve;

[0035] The Bluetooth module has a static current of <15 μA and supports a “1 to N-terminal” wireless two-way communication control mode.

[0036] As a preferred embodiment of the above technical solution, the gas sensor adopts a catalytic combustion type and / or a semiconductor type sensor to detect the concentration of liquefied gas, and the communication sensitivity is ≤-135dbm.

[0037] As a preferred embodiment of the above technical solution, the cloud processing platform also includes a mobile app, which uses three-dimensional alarms in various forms such as mobile APP and preset text messages, and pushes alarms to multiple parties, such as fire supervisors, community grid members, property managers, users and other fire safety responsible parties.

[0038] The beneficial effects of the present invention are:

[0039] 1. The Bluetooth module in the present invention is based on the two-way transmission of Bluetooth data, and can monitor the leakage of liquefied gas in real time. It uses Bluetooth ultra-low power (BLE) technology to realize the two-way transmission of wireless data between the monitoring module and the controller unit, and can sense the online status of the solenoid valve in real time. It has the characteristics of low power consumption and fast connection, low static current (<15μA), and can use 2 No. 5 dry batteries for more than 1.5 years of wireless communication. It supports the "1 to N-terminal" wireless two-way communication control mode to realize two-way linkage control, which can not only monitor gas leaks in real time and cut off the gas solenoid valve, but also can be linked with other safety systems (such as ventilation systems and fire protection systems) in two directions, thereby realizing intelligent safety control;

[0040] 2. The monitoring module and controller unit in the present invention are based on the integrated control system model, which can not only be used to monitor gas leakage in real time, but also can adjust the error of E1(t) and E2(t) detection values ​​in real time (i.e., adjust the opening degree of the electromagnetic valves of E1(t) port and E2(t) port in real time) when the gas leakage is at the type I leakage threshold stage, so that the liquefied gas at the end of the pipeline can be stably transported to the gas user end as needed, ensuring stable gas consumption at the gas user end;

[0041] 3. The cloud processing platform of the present invention sets up corresponding user feedback data models and user feedback adjustment models, and uses intelligent algorithms to dynamically update leakage thresholds and other thresholds based on the collected user data, so that they can adapt to the current environmental conditions in real time. This method significantly improves the sensitivity and accuracy of the alarm, reduces the false alarm rate and missed alarm rate, and thus realizes more intelligent security monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 What is shown is a schematic diagram of a gas alarm and a two-way linkage control method thereof in Example 1. DETAILED DESCRIPTION

[0043] In order to make the purpose, technical solution and advantages of the embodiments of the present invention more clear, the technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments.

[0044] Example

[0045] A gas alarm and a two-way linkage control method thereof, wherein the gas alarm comprises a gas sensor for monitoring liquefied gas concentration, a controller unit, a Bluetooth module for wireless data transmission, a monitoring module, a power module and a cloud processing platform;

[0046] The gas sensor in the present invention has strong anti-interference performance and high sensitivity. It adopts catalytic combustion or semiconductor sensor to detect the concentration of liquefied gas. The sensor has strong anti-interference performance and high communication sensitivity (≤-135dbm). When the concentration of liquefied gas reaches the threshold, the sensor automatically sends a signal to the system with a short response time.

[0047] The Bluetooth module in the present invention is based on the two-way transmission of Bluetooth data, and can monitor the leakage of liquefied gas in real time and dynamically. It uses Bluetooth ultra-low power (BLE) technology to realize the two-way transmission of wireless data between the monitoring module and the controller unit, and can sense the online status of the electromagnetic valve in real time. It has the characteristics of low power consumption and fast connection, low static current (<15μA), and can meet the wireless communication use of more than 1.5 years with 2 No. 5 dry batteries. It supports the "1 to N-terminal" wireless two-way communication control mode and realizes two-way linkage control. It can not only monitor gas leakage in real time and cut off the gas electromagnetic valve, but also can realize two-way linkage with other safety systems (such as ventilation system and fire protection system), so as to realize intelligent safety control.

[0048] The two-way linkage control method of the gas alarm includes the following steps:

[0049] S100, monitoring of gas concentration: the gas sensors are installed at the initial end and the final end of the liquefied gas pipeline, and the leakage threshold is set based on the difference in detection values ​​of the gas sensors at the initial end and the final end;

[0050] S200, gas leakage processing: the monitoring module monitors the difference between the gas sensors at the initial end and the final end and compares it with the leakage threshold, and then transmits the wireless data to the controller unit via the Bluetooth module in both directions. If the leakage threshold is exceeded, the controller unit controls the alarm, the valve of the liquefied gas pipeline is closed, the exhaust fan is turned on, and the fire fighting equipment is linked;

[0051] S300, cloud processing correction of leakage threshold: a cloud processing platform is established to integrate user feedback data, and based on the integrated user feedback data, the leakage threshold is corrected to adapt to the update of the liquefied gas system.

[0052] The leakage threshold is a multi-stage design, including a type 1 leakage threshold, a type 2 leakage threshold, and a type 3 leakage threshold that increase in sequence;

[0053] The type 1 leakage threshold is the difference range of gas sensor detection at the initial end and the tail end caused by conventional reasons such as pipeline pressure. Within this difference range, it is a normal non-leakage situation; the type 2 leakage threshold is only the alarm of the alarm. This type of leakage often occurs in situations such as pipeline aging and pipeline stress concentration. This situation is also a state of no leakage or slight leakage. This type of leakage does not affect the normal transportation and use of gas, but the alarm needs to be sounded in time to remind the user to carry out timely inspection and maintenance to avoid the formation of type 3 leakage threshold; the type 3 leakage threshold is the state of gas leakage. In this state, the controller unit controls the alarm of the alarm, the closing of the valve of the liquefied gas pipeline, the opening of the exhaust fan and the linkage of the fire-fighting equipment.

[0054] The monitoring module and the controller unit include a comprehensive control system model, and the formula of the control model is:

[0055]

[0056] Among them, U(t) represents the control output signal of the system, which determines the actual control behavior of the system (such as starting an alarm, adjusting a valve, changing the operating status of the equipment, etc.). The unit of the control signal depends on the specific control system, such as voltage (V), pressure (Pa), flow (L / min), etc.

[0057] E(t) represents the error at time t, E(t) = E1(t) - E2(t), where E1(t) is the detection value of the gas sensor at the initial end, and E2(t) is the detection value of the gas sensor at the final end;

[0058] K p Represents proportional gain, which is a gain coefficient proportional to the error in the control system. It determines the degree of influence of the current error size on the control output, and its function is to increase the system's response to the error;

[0059] K i Indicates the integral gain, which is a gain factor proportional to the accumulated value of the error. It handles the long-term deviation of the system (i.e., the integral of the error) and helps eliminate persistent, small errors.

[0060] K d It represents the differential gain, which is a gain coefficient proportional to the error change rate (i.e., the derivative of the error). It is used to predict the error trend and generate an advance control signal to reduce overshoot and oscillation.

[0061] The integral term represents the error, which is the accumulation of error over time and represents the cumulative response of the system to past errors. By integrating, the steady-state error of the system can be eliminated;

[0062] The differential term of the error is the rate of change of the error, which indicates the amount of change of the error per unit time. It is used to predict the trend of the error change and make adjustments in advance.

[0063] Based on the integrated control system model, it can not only make real-time adjustments based on the current error, which is suitable for the rapid response of the system, but also eliminate steady-state errors by accumulating past errors, which is suitable for long-term deviation correction of the system. In addition, the error trend can be predicted based on the error change rate to reduce system overshoot and oscillation. The integrated control system model can not only be used to monitor gas leaks in real time, but also to adjust the E1(t) and E2(t) detection value errors in real time (i.e., adjust the opening degree of the electromagnetic valves of the E1(t) port and the E2(t) port in real time) when the gas leak is at the type 1 leakage threshold stage, so that the liquefied gas at the end of the pipeline can be stably delivered to the gas user end as needed, ensuring stable gas consumption at the gas user end.

[0064] The controller unit also includes at least one group of backup control circuits; by setting up backup control circuits, timely remediation can be performed when a failure occurs in the original control circuit. For example, in this embodiment, the backup control circuit includes a sound sensor and a backup single-chip microcomputer. When the circuit controlling the exhaust fan in the original control circuit is damaged and causes the exhaust fan to fail to work, the original control circuit can first control the sound and light alarm to sound and light alarm. The sound sensor obtains a control signal based on the sound and light alarm of the sound and light alarm, and then controls the exhaust fan to work through the backup single-chip microcomputer from the backup control circuit, thereby achieving double insurance for the operation of the equipment. In this embodiment, a sound sensor and a backup single-chip microcomputer are used. In actual applications, the backup control circuit can be replaced by other corresponding sensors, single-chip microcomputers and other equipment.

[0065] The user feedback data model in S300 is:

[0066]

[0067] In the formula, S i represents the feedback data of the i-th user; n represents the total number of feedback users;

[0068] The adjustment model of the system based on user feedback is:

[0069] A(t)=A0+K·(F-F0);

[0070] Where A(t) represents the adjustment parameters of the adjustment model at time t; A0 represents the last adjustment parameters;

[0071] K represents the gain coefficient; F0 represents the user feedback data of the last adjustment.

[0072] The cloud processing platform of the present invention sets up corresponding user feedback data models and user feedback adjustment models, and uses intelligent algorithms to dynamically update leakage thresholds and other thresholds based on the collected user data, so that they can adapt to the current environmental conditions in real time. This method significantly improves the sensitivity and accuracy of the alarm, reduces the false alarm rate and missed alarm rate, and thus realizes more intelligent security monitoring.

[0073] The cloud processing platform also includes a mobile app, which uses mobile APP, preset text messages and other forms of three-dimensional alarms, and pushes them to multiple parties, such as fire supervisors, community grid members, property managers, users and other fire safety responsible parties.

[0074] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them.

Claims

1. Gas alarm, characterized in that: It includes a gas sensor for monitoring the concentration of liquefied gas, a controller unit, a Bluetooth module for wireless data transmission, a monitoring module, a power module and a cloud processing platform.

2. The two-way linkage control method of the gas alarm according to claim 1 is characterized in that: The control method comprises the following steps: S100, monitoring of gas concentration: the gas sensors are installed at the initial end and the final end of the liquefied gas pipeline, and the leakage threshold is set based on the difference in detection values ​​of the gas sensors at the initial end and the final end; S200, gas leakage processing: the monitoring module monitors the difference between the gas sensors at the initial end and the final end and compares it with the leakage threshold, and then transmits the wireless data to the controller unit via the Bluetooth module in both directions. If the leakage threshold is exceeded, the controller unit controls the alarm, the valve of the liquefied gas pipeline is closed, the exhaust fan is turned on, and the fire fighting equipment is linked; S300, cloud processing correction of leakage threshold: a cloud processing platform is established to integrate user feedback data, and based on the integrated user feedback data, the leakage threshold is corrected to adapt to the update of the liquefied gas system.

3. The two-way linkage control method of a gas alarm according to claim 2, characterized in that: The leakage threshold is a multi-stage design, including a type 1 leakage threshold, a type 2 leakage threshold, and a type 3 leakage threshold that increase in sequence; The type 1 leakage threshold is the difference range of gas sensor detection at the initial end and the final end caused by conventional reasons such as pipeline pressure. The type 2 leakage threshold is only the alarm of the alarm. The type 3 leakage threshold includes the alarm of the alarm, the closing of the valve of the liquefied gas pipeline, the opening of the exhaust fan and the linkage of the fire-fighting equipment.

4. The two-way linkage control method of a gas alarm according to claim 3 is characterized in that: The monitoring module and the controller unit include a comprehensive control system model, and the formula of the control model is: Among them, U(t) represents the control output signal of the system, which determines the actual control behavior of the system. The unit of the control signal depends on the specific control system; E(t) represents the error at time t, E(t) = E1(t) - E2(t), where E1(t) is the detection value of the gas sensor at the initial end, and E2(t) is the detection value of the gas sensor at the final end; K p Represents proportional gain, which is a gain coefficient proportional to the error in the control system. It determines the degree of influence of the current error size on the control output, and its function is to increase the system's response to the error; K i Indicates the integral gain, which is a gain factor proportional to the accumulated value of the error. It handles the long-term deviation of the system (i.e., the integral of the error) and helps eliminate persistent, small errors. K d It represents the differential gain, which is a gain coefficient proportional to the error change rate (i.e., the derivative of the error). It is used to predict the error trend and generate an advance control signal to reduce overshoot and oscillation. The integral term represents the error, which is the accumulation of error over time and represents the cumulative response of the system to past errors. By integrating, the steady-state error of the system can be eliminated; The differential term of the error is the rate of change of the error, which indicates the amount of change of the error per unit time. It is used to predict the trend of the error change and make adjustments in advance. The integrated control system model is used to monitor and regulate the stable delivery of liquefied gas at the end of the pipeline within the type I leakage threshold.

5. The two-way linkage control method of a gas alarm according to claim 2, characterized in that: The controller unit also includes at least one set of backup control circuits; The standby control circuit includes a sound sensor and a standby single chip microcomputer.

6. The two-way linkage control method of a gas alarm according to claim 2, characterized in that: The user feedback data model in S300 is: In the formula, S i represents the feedback data of the i-th user; n represents the total number of feedback users; The adjustment model of the system based on user feedback is: A(t)=A0+K·(F-F0); Where A(t) represents the adjustment parameters of the adjustment model at time t; A0 represents the last adjustment parameters; K represents the gain coefficient; F0 represents the user feedback data of the last adjustment.

7. The gas alarm according to claim 1, characterized in that: The Bluetooth module dynamically monitors liquefied gas leakage in a timely manner based on two-way transmission of Bluetooth data; The Bluetooth module uses BLE technology to achieve two-way wireless data transmission between the monitoring module and the controller unit, and real-time perception of the online status and correction of the solenoid valve; The Bluetooth module has a static current of <15 μA and supports a "1 to N-terminal" wireless two-way communication control mode.

8. The gas alarm according to claim 1, characterized in that: The gas sensor adopts a catalytic combustion type and / or a semiconductor type sensor to detect the concentration of liquefied gas, and the communication sensitivity is ≤-135dbm.

9. The gas alarm according to claim 1, characterized in that: The cloud processing platform also includes a mobile app, which uses mobile APP, preset text messages and other forms of three-dimensional alarms, and pushes them to multiple parties, such as fire supervisors, community grid members, property managers, users and other fire safety responsible parties.

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