Intelligent fuel gas management and control method and system based on self-locking feedback

Abstract

The invention discloses an intelligent fuel gas management and control method and system based on self-locking feedback, and relates to the technical field of fuel gas management and control, and the method comprises the steps: obtaining fuel gas pipeline node information, receiving a switching signal according to the fuel gas pipeline node information, and generating first instruction information, the first instruction information comprises a program default parameter, a micro-flow starting parameter, a continuous gas use starting parameter, an over-flow starting parameter and an initial valve opening parameter, collecting real-time gas quality information based on the gas pipeline node information, evaluating the gas quality information according to the gas pipeline node information to obtain a gas node quality index, and sending the gas node quality index to a server; by means of the gas node quality index, program default parameters are adjusted, meanwhile, gas quality monitoring and environment information are integrated through the gas node quality index, safety thresholds under various conditions are ensured, accident risks are reduced, and the situation that the control function of the intelligent gas valve is affected due to the fact that the physical state of gas is affected by cold or high-temperature areas is avoided.

Description

Technical Field

[0001] The present invention relates to the field of gas control technology, and in particular to a gas intelligent control method and system based on self-locking feedback. Background Art

[0002] As gas use becomes more and more widespread, gas safety is of vital importance. Traditional control methods have problems such as untimely response and insufficient safety. A gas intelligent control method and system based on self-locking feedback has emerged. It uses advanced technology to achieve real-time monitoring of gas status. It can quickly self-lock and feedback information when abnormal, effectively prevent gas leaks, explosions and other accidents, improve the safety and reliability of gas use, and provide strong support for protecting the safety of users' lives and property and stable gas supply in cities.

[0003] The existing gas intelligent control method and system based on self-locking feedback are easily affected by the physical state of the gas in cold or high temperature areas. At the same time, human factors such as urbanization and industrial activities may also change the local environment and affect the properties and behavior of the gas, thereby affecting the function of the control system, reducing the detection accuracy of the sensor, generating error signals, and causing misjudgment of the self-locking mechanism. Therefore, it is necessary to provide a gas intelligent control method and system based on self-locking feedback to solve the above-mentioned problems. Summary of the invention

[0004] In order to solve the above technical problems, a gas intelligent control method and system based on self-locking feedback are provided. The technical solution solves the problem of the existing intelligent gas valve control method and system proposed in the above background technology, because cold or high temperature areas are likely to affect the physical state of the gas. At the same time, human factors such as urbanization and industrial activities may also change the local environment and affect the properties and behavior of the gas, thereby affecting the function of the control system, reducing the detection accuracy of the sensor, generating error signals, and causing the self-locking mechanism to misjudge the problem.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is: A gas intelligent control method based on self-locking feedback, comprising: S1. Obtaining gas pipeline node information, and receiving a switch signal according to the gas pipeline node information, generating first instruction information, wherein the first instruction information includes program default parameters, micro-flow enabling parameters, continuous gas use enabling parameters, super-flow enabling parameters, and initial valve opening parameters; S2. determining a gas node quality index based on the gas pipeline node information; S3. Using the intelligent gas valve to collect real-time pressure information, real-time flow information and real-time environmental information, and based on the real-time environmental information, obtaining an internal environmental quality index and an external environmental quality index; S4, obtaining a valve opening parameter weight through the internal environment quality index and the external environment quality index, and evaluating the real-time pressure information based on the valve opening parameter weight and the first instruction information to obtain second instruction information; S5. Obtaining a micro-flow weight through the internal environment quality index and the external environment quality index, and evaluating the real-time flow information based on the micro-flow weight and the first instruction information to obtain third instruction information; S6. Obtaining a continuous gas consumption fluctuation weight through the internal environment quality index and the external environment quality index, and evaluating the real-time flow information based on the continuous gas consumption fluctuation weight and the first instruction information to obtain fourth instruction information; S7, obtaining a super flow traffic weight through the internal environment quality index and the external environment quality index, and evaluating the real-time traffic information based on the super flow traffic weight and the first instruction information to obtain fifth instruction information; S8. Set comprehensive alarm information through the first to fifth instruction information, and send an alarm signal based on the comprehensive alarm information to remind the user.

[0006] In an optional embodiment, step S1 specifically includes: According to the gas pipeline node information, obtain the gas pipeline node location information and the gas pipeline main node location information; A three-dimensional space coordinate system is established with the location information of the main node of the gas pipeline as the origin, and the location coordinates of the gas pipeline node are determined in the three-dimensional space coordinate system according to the location information of the gas pipeline node; Based on the three-dimensional space coordinate system, the coordinates of the gas pipeline node closest to the origin are obtained, and , determine the first reference value, where is the first reference value, , and They are the coordinates of the gas pipeline nodes closest to the origin in the three-dimensional space coordinate system. Axis coordinate values, Axis coordinate values ​​and Axis coordinate values; Obtaining a location weight coefficient of the gas pipeline node according to the first reference value and the location information of the gas pipeline node; Sort the gas pipeline nodes based on the position weight coefficient, and send control information to the gas pipeline nodes at the same time according to the gas pipeline node information; obtain the time information of the switch signal fed back by the gas pipeline node to obtain the time weight coefficient; By using the time weight coefficient and the position weight coefficient corresponding to the gas pipeline node, the program default parameters and the valve opening parameters matching the gas pipeline node are set to obtain the first instruction information.

[0007] In an optional embodiment, step S2 specifically includes: Based on the gas pipeline node information, the center position of the gas pipeline node in the three-dimensional space coordinate system is determined, and the collection area is determined with the center position of the gas pipeline node as the center; According to the collection area, the gas at the gas pipeline node is collected in real time to obtain gas composition information, gas temperature information and gas pressure information; Integrate the gas composition information, gas temperature information and gas pressure information to obtain real-time gas quality information; According to the gas pipeline node information, obtain the position weight coefficient and time weight coefficient corresponding to the gas pipeline node; Obtain the gas node quality index corresponding to the gas pipeline node through the location weight coefficient, time weight coefficient and real-time gas quality information; The calculation formula of the position weight coefficient is: ; In the formula, For the The location weight coefficient of each gas pipeline node, , and Respectively The gas pipeline nodes are located in the three-dimensional space coordinate system. Axis coordinate values, Axis coordinate values ​​and Axis coordinate values, is the first reference value; The calculation formula of the time weight coefficient is: ; In the formula, For the The time weight coefficient of each gas pipeline node, For the The time it takes for a gas pipeline node to receive control information, For the The time taken by each gas pipeline node to feedback the switch signal; The calculation formula of the gas node quality index is: ; In the formula, is the gas node quality index of the gas pipeline’s gas inlet node, For the The gas node quality index of the gas pipeline node, is the gas pressure at the main inlet node of the gas pipeline, The first node of the gas pipeline intake The molar mass of the gas, is the gas constant of the gas pipeline’s intake node, is the gas temperature at the gas inlet node of the gas pipeline, For the The location weight coefficient of each gas pipeline node, For the The location weight coefficient of each gas pipeline node, For the The location weight coefficient of each gas pipeline node, is the position weight coefficient of the gas pipeline's total intake node, For the The gas pressure at each gas pipeline node, For the The gas pipeline node The molar mass of the gas, For the The gas constant of the gas pipeline node, For the The gas temperature of each gas pipeline node, and They are the main gas inlet node and the first The total number of gas types at the gas pipeline nodes.

[0008] In an optional embodiment, step S3 specifically includes: According to the real-time environmental information, the internal environmental information of the gas pipeline and the external environmental information of the gas pipeline corresponding to the gas node are obtained; Based on the internal environment information of the gas pipeline, the internal temperature index, internal humidity index and internal gas composition index are obtained; Based on the external environment information of the gas pipeline, obtain the external air quality index, external noise level and external light intensity; The internal environment quality index is determined through the internal temperature index, the internal humidity index and the internal gas composition index; The external environment quality index is obtained through the external air quality index, external noise level and external light intensity.

[0009] In an optional embodiment, step S4 specifically includes: Based on the first instruction information, an initial valve opening parameter is determined, and a product of the initial valve opening parameter and a valve opening parameter weight is used as a valve opening coefficient; Obtain the smart gas valve type information corresponding to the gas node and the historical pressure information of the gas node through the smart gas valve; Based on the type information of the smart gas valve, the pressure safety threshold is obtained, and based on the historical pressure information, the historical pressure value of the last valve closing is obtained; Obtaining a real-time pressure value through the real-time pressure information, and determining whether the real-time pressure value is within a pressure safety threshold range, and recording the determination result as the first information of the second instruction; Determine whether the valve opening parameter in the first instruction information is empty, and record the determination result as the second instruction second information; Evaluate the real-time pressure value, the historical pressure value of the last valve closing, and the valve opening coefficient, and record the evaluation result as the second instruction third information; The second instruction first information, the second instruction second information and the second instruction third information are integrated to obtain the second instruction information.

[0010] In an optional embodiment, step S5 specifically includes: Determine whether the micro-flow enabling parameter in the first instruction information is empty, and record the determination result as the third instruction first information; Based on the program default parameters and the micro-flow weight in the first instruction information, obtaining a micro-flow threshold; Determine whether the program default parameter in the first instruction information is set with a micro-flow parameter, and record the determination result as the second information of the third instruction; Evaluate the real-time traffic information and the small traffic threshold, and record the evaluation result as the third instruction and the third information; The third instruction first information, the third instruction second information and the third instruction third information are integrated to obtain the third instruction information.

[0011] In an optional embodiment, step S6 specifically includes: Determine whether the continuous gas use activation parameter in the first instruction information is empty, and record the determination result as the first information of the fourth instruction; Based on the program default parameters and the continuous gas consumption fluctuation weight in the first instruction information, obtaining a continuous gas consumption benchmark fluctuation threshold; Determine whether the program default parameter in the first instruction information is set with a continuous gas consumption fluctuation parameter, and record the determination result as the second information of the fourth instruction; Evaluate the real-time flow information and the continuous gas usage baseline fluctuation threshold, and record the evaluation result as the third information of the fourth instruction; The fourth instruction first information, the fourth instruction second information and the fourth instruction third information are integrated to obtain fourth instruction information.

[0012] In an optional embodiment, step S7 specifically includes: Determine whether the superflow enabling parameter in the first instruction information is empty, and record the determination result as the first information of the fifth instruction; Obtain the super flow weight through the internal environment quality index and the external environment quality index; Based on the program default parameters and the super flow flow weight in the first instruction information, obtaining a super flow flow threshold; Determine whether the program default parameters in the first instruction information are set with super flow flow parameters, and record the determination result as the second information of the fifth instruction; Evaluate the real-time traffic information and the super-flow traffic threshold, and record the evaluation result as the third information of the fifth instruction; The fifth instruction first information, the fifth instruction second information and the fifth instruction third information are integrated to obtain the fifth instruction information.

[0013] Furthermore, a gas control system based on self-locking feedback is proposed, which is used to implement any of the control methods described above, including: A receiving module, the receiving module is used to obtain gas pipeline node information, and receive a switch signal according to the gas pipeline node information, and is used to collect real-time pressure information, real-time flow information and real-time environmental information using an intelligent gas valve; A main control module, the main control module is used to generate first instruction information according to the switch signal, determine the gas node quality index based on the gas pipeline node information, obtain the internal environment quality index and the external environment quality index based on the real-time environment information, and then obtain the valve opening parameter weight, the micro-flow weight, the continuous gas consumption fluctuation weight and the super-flow weight through the internal environment quality index and the external environment quality index respectively, evaluate the real-time pressure information based on the valve opening parameter weight and the first instruction information to obtain the second instruction information, evaluate the real-time flow information based on the micro-flow weight and the first instruction information to obtain the third instruction information, evaluate the real-time flow information based on the continuous gas consumption fluctuation weight and the first instruction information to obtain the fourth instruction information, and evaluate the real-time flow information based on the super-flow weight and the first instruction information to obtain the fifth instruction information; The alarm module is used to set comprehensive alarm information through the first to fifth instruction information, and send an alarm signal based on the comprehensive alarm information to remind the user.

[0014] In an optional embodiment, the main control module includes: A processing unit, the processing unit is used to generate first instruction information according to the switch signal, determine the gas node quality index based on the gas pipeline node information, obtain the internal environment quality index and the external environment quality index based on the real-time environment information, and then obtain the valve opening parameter weight, the micro-flow weight, the continuous gas consumption fluctuation weight and the super-flow weight respectively through the internal environment quality index and the external environment quality index; An evaluation unit, wherein the evaluation unit is used to evaluate the real-time pressure information based on the valve opening parameter weight and the first instruction information to obtain the second instruction information, to evaluate the real-time flow information based on the micro-flow weight and the first instruction information to obtain the third instruction information, to evaluate the real-time flow information based on the continuous gas consumption fluctuation weight and the first instruction information to obtain the fourth instruction information, and to evaluate the real-time flow information based on the super-flow weight and the first instruction information to obtain the fifth instruction information.

[0015] Compared with the prior art, the present invention has the following beneficial effects: This scheme proposes a gas intelligent control method and system based on self-locking feedback. The gas quality information is evaluated according to the gas pipeline node information to obtain the gas node quality index. The default parameters of the program are adjusted through the gas node quality index. At the same time, the gas node quality index integrates the gas quality monitoring and environmental information to ensure that the intelligent gas valve can operate with appropriate default program parameters under various circumstances, reduce the risk of accidents, and avoid the control function of the intelligent gas valve being affected by the physical state of the gas in cold or high temperature areas; This scheme proposes a gas intelligent control method and system based on self-locking feedback. Through the time weight coefficient and position weight coefficient corresponding to the gas pipeline node, the program default parameters and valve opening parameters matching the gas pipeline node are set to obtain the first instruction information, so that the control system can quickly respond to the change of position information, improve safety, and improve the operation efficiency of the system and reduce resource waste by optimizing the sending of control signals and flow monitoring. This scheme proposes a gas intelligent control method and system based on self-locking feedback. Through the internal environmental quality index and the external environmental quality index, the valve opening parameter weight, the micro-flow weight, the continuous gas consumption fluctuation weight and the super-flow weight are obtained, so that the gas quality monitoring and environmental information are integrated to ensure that the appropriate safety threshold is set in various situations to reduce the risk of accidents. The alarm information is set according to the second instruction information, and the alarm information is supplemented by the third instruction information to obtain the comprehensive alarm information. Based on the comprehensive alarm information, the intelligent gas valve is controlled. The comprehensive alarm system improves the intelligence level of the system and can automatically adjust to cope with different situations. It focuses on the integration of gas quality monitoring and environmental information to ensure the safety threshold in various situations and reduce the risk of accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a flow chart of a gas intelligent control method based on self-locking feedback proposed by the present invention; Figure 2 is a flow chart for generating the first instruction information in the present invention; Figure 3This is a flow chart for obtaining the gas node quality index in the present invention; Figure 4 This is a system framework diagram of a gas intelligent management and control system based on self-locking feedback proposed by the present invention; Figure 5 It is a three-dimensional structural diagram of the intelligent gas valve in the present invention; Figure 6 It is a partial cross-sectional structural diagram of the intelligent gas valve in the present invention; The numbers in the figure are: 100, intelligent gas valve; 101, switch; 102, battery pack. DETAILED DESCRIPTION

[0017] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0018] Reference Figure 1 - Figure 4 As shown, a gas intelligent control method based on self-locking feedback includes: S1. Obtaining gas pipeline node information, and receiving a switch signal according to the gas pipeline node information, generating first instruction information, wherein the first instruction information includes program default parameters, micro-flow enabling parameters, continuous gas use enabling parameters, super-flow enabling parameters, and initial valve opening parameters; S2. determining a gas node quality index based on the gas pipeline node information; S3. Using the intelligent gas valve to collect real-time pressure information, real-time flow information and real-time environmental information, and based on the real-time environmental information, obtaining an internal environmental quality index and an external environmental quality index; S4, obtaining a valve opening parameter weight through the internal environment quality index and the external environment quality index, and evaluating the real-time pressure information based on the valve opening parameter weight and the first instruction information to obtain second instruction information; S5. Obtaining a micro-flow weight through the internal environment quality index and the external environment quality index, and evaluating the real-time flow information based on the micro-flow weight and the first instruction information to obtain third instruction information; S6. Obtaining a continuous gas consumption fluctuation weight through the internal environment quality index and the external environment quality index, and evaluating the real-time flow information based on the continuous gas consumption fluctuation weight and the first instruction information to obtain fourth instruction information; S7, obtaining a super flow traffic weight through the internal environment quality index and the external environment quality index, and evaluating the real-time traffic information based on the super flow traffic weight and the first instruction information to obtain fifth instruction information; S8. Set comprehensive alarm information through the first to fifth instruction information, and send an alarm signal based on the comprehensive alarm information to remind the user.

[0019] Specifically, a smart gas valve is usually installed at the main gas inlet of each residence to monitor and control the gas usage of the entire residence. However, depending on the layout of some residences (multi-story residences, etc.) and user needs, there will be many gas pipeline nodes in the gas pipeline. Users will install additional smart gas valves, or install additional gas valves at important gas nodes (such as kitchens, water heaters, etc.) to improve safety and control accuracy.

[0020] It can be understood that the gas pipeline node information includes the location information of the gas pipeline node, etc. The first instruction information is the initial instruction information of the smart gas valve set by the user through the management and control system. The program default parameters are automatically set by the management and control system according to the environment of the gas pipeline node where the smart gas valve is installed, including micro-flow parameters, continuous gas consumption fluctuation parameters, super-flow flow parameters, etc. The micro-flow enable parameters, continuous gas consumption enable parameters, super-flow enable parameters and valve opening parameters are used to determine whether the user has issued micro-flow detection enable parameters, continuous gas consumption detection enable parameters, super-flow detection enable parameters and initial valve opening parameters through the management and control system. The value range of the micro-flow enable parameters, continuous gas consumption enable parameters, super-flow enable parameters and initial valve opening parameters is 0 to 1.

[0021] Furthermore, step S1 specifically includes: According to the gas pipeline node information, obtain the gas pipeline node location information and the gas pipeline main node location information; A three-dimensional space coordinate system is established with the location information of the main node of the gas pipeline as the origin, and the location coordinates of the gas pipeline node are determined in the three-dimensional space coordinate system according to the location information of the gas pipeline node; Based on the three-dimensional space coordinate system, the coordinates of the gas pipeline node closest to the origin are obtained, and , determine the first reference value, where is the first reference value, , and They are the coordinates of the gas pipeline nodes closest to the origin in the three-dimensional space coordinate system. Axis coordinate values, Axis coordinate values ​​and Axis coordinate values; Obtaining a location weight coefficient of the gas pipeline node according to the first reference value and the location information of the gas pipeline node; Sort the gas pipeline nodes based on the position weight coefficients, and send control information to the gas pipeline nodes simultaneously according to the gas pipeline node information; Obtain the time information of the switch signal fed back by the receiving gas pipeline node, and obtain the time weight coefficient; By using the time weight coefficient and the position weight coefficient corresponding to the gas pipeline node, the program default parameters and the valve opening parameters matching the gas pipeline node are set to obtain the first instruction information.

[0022] Furthermore, step S2 specifically includes: Based on the gas pipeline node information, the center position of the gas pipeline node in the three-dimensional space coordinate system is determined, and the collection area is determined with the center position of the gas pipeline node as the center; According to the collection area, the gas at the gas pipeline node is collected in real time to obtain gas composition information, gas temperature information and gas pressure information; Integrate the gas composition information, gas temperature information and gas pressure information to obtain real-time gas quality information; According to the gas pipeline node information, obtain the position weight coefficient and time weight coefficient corresponding to the gas pipeline node; Obtain the gas node quality index corresponding to the gas pipeline node through the location weight coefficient, time weight coefficient and real-time gas quality information; Among them, the calculation formula of the position weight coefficient is: ; In the formula, For the The location weight coefficient of each gas pipeline node, , and Respectively The gas pipeline nodes are located in the three-dimensional space coordinate system. Axis coordinate values, Axis coordinate values ​​and Axis coordinate values, is the first reference value; The calculation formula of the time weight coefficient is: ; In the formula, For the The time weight coefficient of each gas pipeline node, For the The time it takes for a gas pipeline node to receive control information, For the The time taken by each gas pipeline node to feedback the switch signal; The calculation formula of gas node quality index is: ; In the formula, is the gas node quality index of the gas pipeline’s gas inlet node, For the The gas node quality index of the gas pipeline node, is the gas pressure at the main inlet node of the gas pipeline, The first node of the gas pipeline The molar mass of the gas, is the gas constant of the gas pipeline’s intake node, is the gas temperature at the gas inlet node of the gas pipeline, For the The location weight coefficient of each gas pipeline node, For the The location weight coefficient of each gas pipeline node, For the The location weight coefficient of each gas pipeline node, is the position weight coefficient of the gas pipeline's total intake node, For the The gas pressure at each gas pipeline node, For the The gas pipeline node The molar mass of the gas, For the The gas constant of the gas pipeline node, For the The gas temperature of each gas pipeline node, and They are the main gas inlet node and the first The total number of gas types at the gas pipeline nodes.

[0023] Specifically, the position weight coefficient is a quantified weight coefficient of the impact of the spatial distance between the smart gas valve installed at any pipeline node in the gas pipeline and the smart gas valve installed at the main node of the gas pipeline on the information transmission. Therefore, the time weight coefficient is a quantified weight coefficient of the impact of the time required for the smart gas valve to transmit information with the smart gas valve installed at the main node of the gas pipeline on the safety management of the smart gas valve at the gas pipeline node. The gas node quality index is a comprehensive indicator of the environmental quality inside and outside the gas pipeline node where the smart gas valve is located and the quality of the gas inside the pipeline.

[0024] It can be understood that the collection area is determined by taking the center position of the gas pipeline node as the center of the sphere, and the gas at the gas pipeline node is collected in real time according to the collection area. The collection area is the intersection area of ​​the sphere determined by taking the center position of the gas pipeline node as the center of the sphere (the radius is 3 to 5 times the radius of the pipeline) and the inside of the gas pipeline.

[0025] Furthermore, step S3 specifically includes: According to the real-time environmental information, the internal environmental information of the gas pipeline and the external environmental information of the gas pipeline corresponding to the gas node are obtained; Based on the internal environment information of the gas pipeline, the internal temperature index, internal humidity index and internal gas composition index are obtained; Based on the external environment information of the gas pipeline, obtain the external air quality index, external noise level and external light intensity; The internal environment quality index is determined through the internal temperature index, the internal humidity index and the internal gas composition index; The external environment quality index is obtained through the external air quality index, external noise level and external light intensity.

[0026] Specifically, based on the internal environment information of the gas pipeline and the external environment information of the gas pipeline, the internal environment quality index and the external environment quality index are obtained respectively. The internal environment information of the gas pipeline includes the internal temperature index, the internal humidity index and the internal gas composition index. , get the internal environment quality index, where , and The external environment information of the gas pipeline includes the external air quality index, external noise level and external light intensity. , get the external environment quality index, where , and All are weights.

[0027] Furthermore, step S4 specifically includes: Based on the first instruction information, an initial valve opening parameter is determined, and a product of the initial valve opening parameter and a valve opening parameter weight is used as a valve opening coefficient; Obtain the smart gas valve type information corresponding to the gas node and the historical pressure information of the gas node through the smart gas valve; Based on the type information of the smart gas valve, the pressure safety threshold is obtained, and based on the historical pressure information, the historical pressure value of the last valve closing is obtained; Obtaining a real-time pressure value through the real-time pressure information, and determining whether the real-time pressure value is within a pressure safety threshold range, and recording the determination result as the first information of the second instruction; Determine whether the valve opening parameter in the first instruction information is empty, and record the determination result as the second instruction second information; Evaluate the real-time pressure value, the historical pressure value of the last valve closing, and the valve opening coefficient, and record the evaluation result as the second instruction third information; The second instruction first information, the second instruction second information and the second instruction third information are integrated to obtain the second instruction information.

[0028] In summary, the automatic valve opening function of the self-closing valve of the gas valve module in this solution automatically determines whether to open the valve based on the comparison between the real-time pressure value and the historical pressure value. When the management and control system sends the relevant initial valve opening parameters (the default is 0.99), the automatic valve opening function is enabled.

[0029] Among them, the calculation formula of the valve opening parameter weight is: ; In the formula, is the valve opening parameter weight, is the internal environment quality index, is the external environment quality index, is the historical pressure value when the valve was closed last time, , and All are adjustment parameters; Automatic valve opening judgment logic: 1. First, the intelligent gas valve periodically reads the sensor data (once every 10ms) to check whether the pressure P (real-time pressure value) in the pipe is within the pressure safety threshold, that is, the P safety lower limit (default 50KPa) and the P safety upper limit (default 200kPa). If it is not within the pressure safety threshold, the system re-reads the real-time pressure value; if the current pressure is within the pressure safety threshold, it proceeds to the next step of judgment; 2. Determine whether the user has set the relevant initial valve opening parameters (default 0.99, stored in the first instruction information) through the management and control system. If not, perform subsequent operations according to the default parameters of the program; if it has been set by the user, perform operations according to the issued initial valve opening parameters; 3. Then determine the temporary rated pressure loss △Ptemporary based on the actual pressure loss of the last valve closing pressure P (historical pressure value) and the current real-time pressure value P. Generally, the formula △Ptemporary = Pcurrent pressure / Pvalve closing pressure can be used for calculation. For example, if the current actual pressure is 133kPa and the last valve closing pressure is 145.5kPa, then △Ptemporary = 0.914. If the current valve opening coefficient (if it is 0.99), it means that the current pressure difference △Ptemporary is less than the set rated valve opening parameter, then the next judgment can be entered; otherwise, return to the first step for polling judgment.

[0030] 4. Due to the short-term pressure fluctuations caused by external factors (such as the sudden start or stop of other equipment), it is necessary to repeat the previous step to increase the fault tolerance rate and observe whether the subsequent pressure returns to stability. The specific operation is as follows: Get the pressure data collected next time (the pressure collection interval is 1 second), repeat the previous step again, and if the pressure difference △P calculated this time is still temporarily less than the valve opening coefficient, proceed to the next step of judgment.

[0031] 5. Determine whether the current time is less than 10 seconds from the last valve closing time. If it is greater than 10 seconds, start to open the valve automatically. Otherwise, return to the first step for polling judgment.

[0032] Furthermore, step S5 specifically includes: Determine whether the micro-flow enabling parameter in the first instruction information is empty, and record the determination result as the third instruction first information; Based on the program default parameters and the micro-flow weight in the first instruction information, obtaining a micro-flow threshold; Determine whether the program default parameter in the first instruction information is set with a micro-flow parameter, and record the determination result as the second information of the third instruction; Evaluate the real-time traffic information and the small traffic threshold, and record the evaluation result as the third instruction and the third information; The third instruction first information, the third instruction second information and the third instruction third information are integrated to obtain the third instruction information.

[0033] The calculation formula of the micro-flow weight is: ; In the formula, is the flow weight of the micro-flow, is the internal environment quality index, is the external environment quality index, is the historical flow value when the valve was closed last time. , and These are adjustment parameters.

[0034] It is understandable that after each valve closing, the gas valve module records the historical pressure value and historical flow value at the last moment of valve closing.

[0035] In summary, the judgment of the micro-flow event of the gas valve module in this solution is based on the micro-flow threshold and duration of the flow. When the flow value read by the sub-control unit is between the micro-flow threshold and meets the set value of the duration, it is judged as a micro-flow event; the program sets the micro-flow activation parameters, micro-flow threshold, and duration of the micro-flow alarm, which can be issued and set through the management and control system. Among them, the micro-flow activation parameters are used to control whether the micro-flow function is enabled; the micro-flow threshold means that the flow value of the micro-flow event must be between the upper and lower limits.

[0036] Judgment logic of micro-flow events: 1. First, determine the micro-flow enabling parameters of the current micro-flow alarm. If it is 0, no micro-flow event judgment is performed; if it is 1, start to determine whether a micro-flow threshold is set. If one of the endpoints of the micro-flow threshold is output as 0x00 0x00 based on the program default parameters and micro-flow weight in the first instruction information, the judgment is terminated; if both are not 0x000x00, proceed to the next judgment.

[0037] 2. Determine whether the real-time flow value is within the small flow threshold. If not, clear the accumulated duration of small flow and exit the event judgment. If yes, proceed to the next judgment.

[0038] 3. Then determine whether the current duration meets the preset value. If it is, start the micro-flow alarm, close the valve, and write the micro-flow event alarm and valve status into the Bluetooth broadcast data; if it is not, continue to determine whether the current flow is within the micro-flow threshold.

[0039] Furthermore, step S6 specifically includes: Determine whether the continuous gas use activation parameter in the first instruction information is empty, and record the determination result as the first information of the fourth instruction; Based on the program default parameters and the continuous gas consumption fluctuation weight in the first instruction information, obtaining a continuous gas consumption benchmark fluctuation threshold; Determine whether the program default parameter in the first instruction information is set with a continuous gas consumption fluctuation parameter, and record the determination result as the second information of the fourth instruction; Evaluate the real-time flow information and the continuous gas usage baseline fluctuation threshold, and record the evaluation result as the third information of the fourth instruction; The fourth instruction first information, the fourth instruction second information and the fourth instruction third information are integrated to obtain fourth instruction information.

[0040] Among them, the calculation formula for the continuous gas consumption fluctuation weight is: ; In the formula, For continuous gas fluctuation weight, is the internal environment quality index, is the external environment quality index, is the historical flow value when the valve was closed last time. , and These are adjustment parameters.

[0041] It can be understood that the judgment of the constant flow event in the gas valve module in this solution is based on the upper and lower limits of the flow rate, the continuous gas usage baseline fluctuation threshold, and the duration. The program is set with the continuous gas usage activation parameters of the constant flow alarm, the upper and lower limits of the flow rate, and the duration (the constant flow event judgment can be divided into up to four groups, each group is calculated according to the duration), which can be issued and set through the management and control system.

[0042] Among them, the continuous gas use activation parameter is used to control whether the constant flow function is enabled; the upper and lower limits of the flow rate mean that the flow value of the constant flow event must be between the upper and lower limits.

[0043] The judgment logic of constant current events is: 1. First, determine whether the current flow is within the upper and lower limits. If it is, then continue to determine whether the continuous gas usage benchmark fluctuation threshold is set; if it is not, clear the accumulated duration of all constant flow groups and the continuous gas usage benchmark fluctuation threshold.

[0044] 2. Determine whether the continuous gas usage benchmark fluctuation threshold is set. If yes, continue to determine whether the current flow is within the continuous gas usage benchmark fluctuation threshold; if not, use the real-time flow value as the benchmark value, calculate the continuous gas usage benchmark fluctuation threshold, and recalculate the cumulative duration.

[0045] 3. Determine whether the current flow is within the continuous gas usage benchmark fluctuation threshold. If it is, calculate the cumulative duration. If not, clear the last continuous gas usage benchmark fluctuation threshold and the cumulative duration, use the current flow as the benchmark value, calculate the continuous gas usage benchmark fluctuation threshold, and recalculate the cumulative duration.

[0046] 4. Then determine whether the accumulated time meets the alarm setting value. If it is, the sub-control unit will report the continuous gas consumption event, close the valve at the same time, and write the constant flow event and valve status into the Bluetooth broadcast data; if it is not, continue to determine whether the current latest flow value is within the upper and lower limits.

[0047] Furthermore, step S7 specifically includes: Determine whether the superflow enabling parameter in the first instruction information is empty, and record the determination result as the first information of the fifth instruction; Obtain the super flow weight through the internal environment quality index and the external environment quality index; Based on the program default parameters and the super flow flow weight in the first instruction information, obtaining a super flow flow threshold; Determine whether the program default parameters in the first instruction information are set with super flow flow parameters, and record the determination result as the second information of the fifth instruction; Evaluate the real-time traffic information and the super-flow traffic threshold, and record the evaluation result as the third information of the fifth instruction; The fifth instruction first information, the fifth instruction second information and the fifth instruction third information are integrated to obtain the fifth instruction information.

[0048] The calculation formula of super flow traffic weight is: ; In the formula, is the superflow weight, is the internal environment quality index, is the external environment quality index, is the historical flow value when the valve was closed last time. , and All are adjustment parameters; It can be understood that the judgment of the overflow event of the gas valve module in this solution is based on the set flow critical value (preset value). When the flow value read by the sub-control unit exceeds the critical value, it is judged as an overflow event; when the flow critical value of the overflow setting parameter is 0, the overflow valve closing protection is not effective; The program has superflow enabling parameters and superflow flow thresholds for superflow alarms, which can be set through the management and control system. Among them, the superflow enabling parameters are used to control whether the superflow function is enabled; the superflow flow threshold means that the flow value of the superflow event must exceed the superflow flow threshold.

[0049] Judgment logic of superfluid events: 1. First, determine the superflow enabling parameter of the current superflow alarm. If it is 0, no superflow event determination is performed; if it is 1, it starts to determine whether the superflow flow threshold is set. If the superflow flow threshold is 0x00 0x00, the determination ends. 2. Determine whether the current flow is within the super flow flow threshold. If it is, clear the super flow accumulated duration and exit the event judgment; if it is not, proceed to the next judgment; 3. Then determine whether the current duration meets the preset value. If it is, start the overflow alarm, close the valve, and write the overflow event alarm and valve status into the Bluetooth broadcast data; if it is not, continue to determine whether the current latest flow is within the critical value of the flow.

[0050] It can be understood that the alarm information is set according to the second instruction information, and the alarm information is supplemented or updated through the third instruction information, the fourth instruction information and the fifth instruction information to obtain comprehensive alarm information. Based on the comprehensive alarm information, the management and control of the intelligent gas valve is completed. The alarm information and the comprehensive alarm information are the information generated after the alarm is triggered after the preset value is not met during the judgment process of automatic valve opening, micro-flow events, constant flow events and over-flow events, and are used to prompt the user.

[0051] The adjustment range of the above adjustment parameters can be set by the user.

[0052] Furthermore, a gas control system based on self-locking feedback is proposed, which is used to implement any of the control methods described above, including: A receiving module, which is used to obtain gas pipeline node information and receive switch signals according to the gas pipeline node information, and is used to collect real-time pressure information, real-time flow information and real-time environmental information using an intelligent gas valve; A main control module, the main control module is used to generate first instruction information according to the switch signal, determine the gas node quality index based on the gas pipeline node information, obtain the internal environment quality index and the external environment quality index based on the real-time environment information, and then obtain the valve opening parameter weight, the micro-flow weight, the continuous gas consumption fluctuation weight and the super-flow weight through the internal environment quality index and the external environment quality index respectively, evaluate the real-time pressure information based on the valve opening parameter weight and the first instruction information to obtain the second instruction information, evaluate the real-time flow information based on the micro-flow weight and the first instruction information to obtain the third instruction information, evaluate the real-time flow information based on the continuous gas consumption fluctuation weight and the first instruction information to obtain the fourth instruction information, and evaluate the real-time flow information based on the super-flow weight and the first instruction information to obtain the fifth instruction information; The alarm module is used to set comprehensive alarm information through the first to fifth instruction information, and send an alarm signal based on the comprehensive alarm information to remind the user.

[0053] Furthermore, the main control module includes: A processing unit, the processing unit is used to generate first instruction information according to the switch signal, determine the gas node quality index based on the gas pipeline node information, obtain the internal environment quality index and the external environment quality index based on the real-time environment information, and then obtain the valve opening parameter weight, the micro-flow weight, the continuous gas consumption fluctuation weight and the super-flow weight respectively through the internal environment quality index and the external environment quality index; An evaluation unit is used to evaluate the real-time pressure information based on the valve opening parameter weight and the first instruction information to obtain the second instruction information, to evaluate the real-time flow information based on the micro-flow weight and the first instruction information to obtain the third instruction information, to evaluate the real-time flow information based on the continuous gas consumption fluctuation weight and the first instruction information to obtain the fourth instruction information, and to evaluate the real-time flow information based on the super-flow weight and the first instruction information to obtain the fifth instruction information.

[0054] Reference Figure 5 and Figure 6 As shown, the smart gas valve 100 in this solution includes a battery pack 102 in addition to the switch 101. The smart gas valve has an integrated control system. Users can set the main pipeline smart gas valve (gas pipeline main node position) according to the residential distribution to control other smart gas valves (gas pipeline node positions). At the same time, other smart gas valves cooperate with the main pipeline smart gas valve to complete the smart gas control. The battery pack 102 is preferably powered by 4 alkaline batteries and supports the external power supply mode. If a power outage occurs in the external power supply mode, the valve can be closed immediately. The smart gas valve 100 is cleverly integrated with the flow module, the whole machine is beautiful, and occupies a small area.

[0055] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A gas intelligent control method based on self-locking feedback, characterized in that: include: S1. Obtaining gas pipeline node information, and receiving a switch signal according to the gas pipeline node information, generating first instruction information, wherein the first instruction information includes program default parameters, micro-flow enabling parameters, continuous gas use enabling parameters, super-flow enabling parameters, and initial valve opening parameters; S2. determining a gas node quality index based on the gas pipeline node information; S3. Using the intelligent gas valve to collect real-time pressure information, real-time flow information and real-time environmental information, and based on the real-time environmental information, obtaining an internal environmental quality index and an external environmental quality index; S4, obtaining a valve opening parameter weight through the internal environment quality index and the external environment quality index, and evaluating the real-time pressure information based on the valve opening parameter weight and the first instruction information to obtain second instruction information; S5. Obtaining a micro-flow weight through the internal environment quality index and the external environment quality index, and evaluating the real-time flow information based on the micro-flow weight and the first instruction information to obtain third instruction information; S6. Obtaining a continuous gas consumption fluctuation weight through the internal environment quality index and the external environment quality index, and evaluating the real-time flow information based on the continuous gas consumption fluctuation weight and the first instruction information to obtain fourth instruction information; S7, obtaining a super flow traffic weight through the internal environment quality index and the external environment quality index, and evaluating the real-time traffic information based on the super flow traffic weight and the first instruction information to obtain fifth instruction information; S8. Set comprehensive alarm information through the first to fifth instruction information, and send an alarm signal based on the comprehensive alarm information to remind the user.

2. According to claim 1, a gas intelligent control method based on self-locking feedback is characterized in that: Step S1 specifically includes: According to the gas pipeline node information, obtain the gas pipeline node location information and the gas pipeline main node location information; A three-dimensional space coordinate system is established with the location information of the main node of the gas pipeline as the origin, and the location coordinates of the gas pipeline node are determined in the three-dimensional space coordinate system according to the location information of the gas pipeline node; Based on the three-dimensional space coordinate system, the coordinates of the gas pipeline node closest to the origin are obtained, and , determine the first reference value, where is the first reference value, , and They are the coordinates of the gas pipeline nodes closest to the origin in the three-dimensional space coordinate system. Axis coordinate values, Axis coordinate values ​​and Axis coordinate values; Obtaining a location weight coefficient of the gas pipeline node according to the first reference value and the location information of the gas pipeline node; Sort the gas pipeline nodes based on the position weight coefficients, and send control information to the gas pipeline nodes simultaneously according to the gas pipeline node information; Obtain the time information of the switch signal fed back by the receiving gas pipeline node, and obtain the time weight coefficient; By using the time weight coefficient and the position weight coefficient corresponding to the gas pipeline node, the program default parameters and the valve opening parameters matching the gas pipeline node are set to obtain the first instruction information.

3. A gas intelligent control method based on self-locking feedback according to claim 2, characterized in that: Step S2 specifically includes: Based on the gas pipeline node information, the center position of the gas pipeline node in the three-dimensional space coordinate system is determined, and the collection area is determined with the center position of the gas pipeline node as the center; According to the collection area, the gas at the gas pipeline node is collected in real time to obtain gas composition information, gas temperature information and gas pressure information; Integrate the gas composition information, gas temperature information and gas pressure information to obtain real-time gas quality information; According to the gas pipeline node information, obtain the position weight coefficient and time weight coefficient corresponding to the gas pipeline node; Obtain the gas node quality index corresponding to the gas pipeline node through the location weight coefficient, time weight coefficient and real-time gas quality information; The calculation formula of the position weight coefficient is: ； In the formula, For the The location weight coefficient of each gas pipeline node, , and Respectively The gas pipeline nodes are located in the three-dimensional space coordinate system. Axis coordinate values, Axis coordinate values ​​and Axis coordinate values, is the first reference value; The calculation formula of the time weight coefficient is: ； In the formula, For the The time weight coefficient of each gas pipeline node, For the The time it takes for a gas pipeline node to receive control information, For the The time taken by each gas pipeline node to feedback the switch signal; The calculation formula of the gas node quality index is: ； In the formula, is the gas node quality index of the gas pipeline’s gas inlet node, For the The gas node quality index of the gas pipeline node, is the gas pressure at the main inlet node of the gas pipeline, The first node of the gas pipeline intake The molar mass of the gas, is the gas constant of the gas pipeline’s intake node, is the gas temperature at the gas inlet node of the gas pipeline, For the The location weight coefficient of each gas pipeline node, For the The location weight coefficient of each gas pipeline node, For the The location weight coefficient of each gas pipeline node, is the position weight coefficient of the gas pipeline's total intake node, For the The gas pressure at each gas pipeline node, For the The gas pipeline node The molar mass of the gas, For the The gas constant of the gas pipeline node, For the The gas temperature of each gas pipeline node, and They are the main gas inlet node and the first The total number of gas types at the gas pipeline nodes.

4. According to claim 1, a gas intelligent control method based on self-locking feedback is characterized in that: Step S3 specifically includes: According to the real-time environmental information, the internal environmental information of the gas pipeline and the external environmental information of the gas pipeline corresponding to the gas node are obtained; Based on the internal environment information of the gas pipeline, the internal temperature index, internal humidity index and internal gas composition index are obtained; Based on the external environment information of the gas pipeline, obtain the external air quality index, external noise level and external light intensity; The internal environment quality index is determined through the internal temperature index, the internal humidity index and the internal gas composition index; The external environment quality index is obtained through the external air quality index, external noise level and external light intensity.

5. According to claim 1, a gas intelligent control method based on self-locking feedback is characterized in that: Step S4 specifically includes: Based on the first instruction information, an initial valve opening parameter is determined, and a product of the initial valve opening parameter and a valve opening parameter weight is used as a valve opening coefficient; Obtain the smart gas valve type information corresponding to the gas node and the historical pressure information of the gas node through the smart gas valve; Based on the type information of the smart gas valve, the pressure safety threshold is obtained, and based on the historical pressure information, the historical pressure value of the last valve closing is obtained; Obtaining a real-time pressure value through the real-time pressure information, and determining whether the real-time pressure value is within a pressure safety threshold range, and recording the determination result as the first information of the second instruction; Determine whether the valve opening parameter in the first instruction information is empty, and record the determination result as the second instruction second information; Evaluate the real-time pressure value, the historical pressure value of the last valve closing, and the valve opening coefficient, and record the evaluation result as the second instruction third information; The second instruction first information, the second instruction second information and the second instruction third information are integrated to obtain the second instruction information.

6. A gas intelligent control method based on self-locking feedback according to claim 1, characterized in that: Step S5 specifically includes: Determine whether the micro-flow enabling parameter in the first instruction information is empty, and record the determination result as the third instruction first information; Based on the program default parameters and the micro-flow weight in the first instruction information, obtaining a micro-flow threshold; Determine whether the program default parameter in the first instruction information is set with a micro-flow parameter, and record the determination result as the second information of the third instruction; Evaluate the real-time traffic information and the small traffic threshold, and record the evaluation result as the third instruction and the third information; The third instruction first information, the third instruction second information and the third instruction third information are integrated to obtain the third instruction information.

7. A gas intelligent control method based on self-locking feedback according to claim 1, characterized in that: Step S6 specifically includes: Determine whether the continuous gas use activation parameter in the first instruction information is empty, and record the determination result as the first information of the fourth instruction; Based on the program default parameters and the continuous gas consumption fluctuation weight in the first instruction information, obtaining a continuous gas consumption benchmark fluctuation threshold; Determine whether the program default parameter in the first instruction information is set with a continuous gas consumption fluctuation parameter, and record the determination result as the second information of the fourth instruction; Evaluate the real-time flow information and the continuous gas usage baseline fluctuation threshold, and record the evaluation result as the third information of the fourth instruction; The fourth instruction first information, the fourth instruction second information and the fourth instruction third information are integrated to obtain fourth instruction information.

8. The method for intelligent gas control based on self-locking feedback according to claim 1 is characterized in that: Step S7 specifically includes: Determine whether the superflow enabling parameter in the first instruction information is empty, and record the determination result as the first information of the fifth instruction; Obtain the super flow weight through the internal environment quality index and the external environment quality index; Based on the program default parameters and the super flow flow weight in the first instruction information, obtaining a super flow flow threshold; Determine whether the program default parameters in the first instruction information are set with super flow flow parameters, and record the determination result as the second information of the fifth instruction; Evaluate the real-time traffic information and the super-flow traffic threshold, and record the evaluation result as the third information of the fifth instruction; The fifth instruction first information, the fifth instruction second information and the fifth instruction third information are integrated to obtain the fifth instruction information.

9. A gas intelligent control system based on self-locking feedback, used to implement the control method according to any one of claims 1 to 8, characterized in that: include: A receiving module, the receiving module is used to obtain gas pipeline node information, and receive a switch signal according to the gas pipeline node information, and is used to collect real-time pressure information, real-time flow information and real-time environmental information using an intelligent gas valve; A main control module, the main control module is used to generate first instruction information according to the switch signal, determine the gas node quality index based on the gas pipeline node information, obtain the internal environment quality index and the external environment quality index based on the real-time environment information, and then obtain the valve opening parameter weight, the micro-flow weight, the continuous gas consumption fluctuation weight and the super-flow weight through the internal environment quality index and the external environment quality index respectively, evaluate the real-time pressure information based on the valve opening parameter weight and the first instruction information to obtain the second instruction information, evaluate the real-time flow information based on the micro-flow weight and the first instruction information to obtain the third instruction information, evaluate the real-time flow information based on the continuous gas consumption fluctuation weight and the first instruction information to obtain the fourth instruction information, and evaluate the real-time flow information based on the super-flow weight and the first instruction information to obtain the fifth instruction information; The alarm module is used to set comprehensive alarm information through the first to fifth instruction information, and send an alarm signal based on the comprehensive alarm information to remind the user.

10. A gas intelligent management and control system based on self-locking feedback according to claim 9, characterized in that: The main control module comprises: A processing unit, the processing unit is used to generate first instruction information according to the switch signal, determine the gas node quality index based on the gas pipeline node information, obtain the internal environment quality index and the external environment quality index based on the real-time environment information, and then obtain the valve opening parameter weight, the micro-flow weight, the continuous gas consumption fluctuation weight and the super-flow weight respectively through the internal environment quality index and the external environment quality index; An evaluation unit, wherein the evaluation unit is used to evaluate the real-time pressure information based on the valve opening parameter weight and the first instruction information to obtain the second instruction information, to evaluate the real-time flow information based on the micro-flow weight and the first instruction information to obtain the third instruction information, to evaluate the real-time flow information based on the continuous gas consumption fluctuation weight and the first instruction information to obtain the fourth instruction information, and to evaluate the real-time flow information based on the super-flow weight and the first instruction information to obtain the fifth instruction information.

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