Household gas safety guarantee method and control system based on microgrid control strategy

Abstract

The present invention relates to the field of gas detection technology, and discloses a household gas safety assurance method and control system based on a microgrid control strategy, comprising: obtaining indoor gas concentration, forming analysis data, forming judgment data, executing a safety regulation strategy, and executing an alarm strategy. The household gas safety assurance method and control system based on the microgrid control strategy judge the location of a gas leak according to the gas concentration collected at different gas collection points, judge whether there are influencing factors on the judgment of the location of the gas leak according to the indoor wind force and the use of kitchen appliances, and determine the actual leakage location, determine whether there is someone indoors when the gas leaks according to the user's living habits, and take corresponding alarm means to remind the user to check and repair the location of the gas leak, so as to make the data more accurate and prevent serious consequences caused by false alarms or untimely alarm notifications.

Description

Technical Field

[0001] The present invention relates to the field of gas detection technology, and in particular to a household gas safety assurance method and control system based on a microgrid control strategy. Background Art

[0002] Household gas safety has always been an important topic. The household gas safety assurance method and control system based on microgrid control strategy is also a direction worthy of research. In this regard, some technical means and control strategies can be used to ensure the safety of household gas while taking into account energy efficiency and convenience. The household gas safety assurance method and control system based on microgrid control strategy need to combine intelligent technology, sensor technology, energy management technology and other knowledge to achieve comprehensive monitoring and management of household gas systems, ensuring the safety, reliability and efficiency of household gas.

[0003] One possible method is to use smart sensors and monitoring equipment in microgrids to detect leaks and abnormalities in household gas pipelines in real time. These devices can be connected to the microgrid control system through wireless networks to achieve real-time monitoring and feedback, timely detect problems and take measures. At the same time, combined with artificial intelligence algorithms, household gas systems can be managed intelligently, early warnings and risk prevention can be provided. In addition, the energy management system in the microgrid can realize intelligent control of household gas supply. According to household energy demand and gas usage, the dispatching system is optimized to ensure the stability and safety of gas supply. At the same time, renewable energy and energy storage technology are combined to achieve diversified energy utilization and improve energy efficiency.

[0004] The existing household gas safety assurance method and control system based on microgrid control strategy cannot determine the location of gas leakage according to the gas concentration collected at different gas collection points, cannot determine whether there are influencing factors on the judgment of the location of gas leakage according to the indoor wind speed and the use of kitchen equipment, and determine the actual leakage location. It is also unable to determine whether there is someone indoors when gas leaks according to the user's living habits, and take corresponding alarm measures to remind users to check and repair the location of gas leakage. Its practicality has certain limitations. Summary of the invention

[0005] The present invention provides a household gas safety assurance method and a control system based on a microgrid control strategy, which are used to promote the solution of the problems mentioned in the background technology.

[0006] The present invention provides the following technical solution: a household gas safety control system based on a microgrid control strategy, comprising:

[0007] Acquisition module: obtains indoor gas concentration through gas sensors to determine whether there is a gas leak based on the indoor gas concentration;

[0008] Analysis module: Based on the indoor gas concentration, the data analysis strategy is used to generate analysis data to determine whether there are natural factors that cause misjudgment, thereby determining the location of the actual gas leak problem and preventing false alarms caused by misjudgment;

[0009] Judgment module: Based on the analysis data, the judgment data is formed through the data judgment strategy to determine whether there is a misjudgment caused by aging or insensitivity of the equipment, so as to prevent false alarms caused by misjudgment;

[0010] Control module: Determine whether to implement the safety control strategy based on the judgment data. When it is determined that there is a gas leakage problem, close the gas valve in time and exhaust the gas through the ventilation system to prevent the gas from leaking to a certain concentration and causing explosions or fires.

[0011] Alarm module: Execute alarm strategies based on judgment data, determine corresponding alarm methods based on the owner's living habits, and remind the owner of gas leakage problems in the safest, fastest and most effective way, and display the gas leakage point, reminding the owner to check and repair the gas leakage point in time.

[0012] The present invention also discloses a method for ensuring a household gas safety control system using a microgrid control strategy, wherein: the data analysis strategy is specifically:

[0013] Get all gas concentration collection points;

[0014] Obtain the gas concentration collected at each gas concentration collection point and define it as the collection concentration;

[0015] Set gas concentration thresholds;

[0016] If the collected concentration is less than the gas concentration threshold, it means there is no gas leakage problem;

[0017] If the collected concentration is ≥ the gas concentration threshold, it means that the indoor gas concentration is abnormal, and the abnormality determination strategy is executed.

[0018] As the protection method of the household gas safety control system using the microgrid control strategy described in the present invention, the abnormality determination strategy is specifically as follows:

[0019] Get indoor wind speed;

[0020] Set wind speed threshold;

[0021] If the indoor wind speed is less than the wind speed threshold, the gas concentration collection point where the indoor gas concentration is abnormal is determined to be the real abnormal point;

[0022] If the indoor wind speed is ≥ the wind speed threshold, the data collected by the gas concentration collection point with abnormal indoor gas concentration is determined to be deviation data, and the deviation determination strategy is executed.

[0023] As the protection method of the household gas safety control system using the microgrid control strategy described in the present invention, the deviation determination strategy is specifically as follows:

[0024] The gas concentration collection point with abnormal indoor gas concentration is determined as an abnormal collection point;

[0025] Get indoor wind direction;

[0026] Take the abnormal collection point as the reference point, the indoor wind direction as the reference direction, and make a vector direction opposite to the indoor wind direction as the determination direction;

[0027] If there is no gas concentration collection point on the side of the determination direction of the abnormal collection point, the abnormal collection point is determined to be a real abnormal point;

[0028] If there is a gas concentration collection point on one side of the determination direction of the abnormal collection point, the gas concentration collection point on the one side of the determination direction of the abnormal collection point is determined as the determination collection point;

[0029] Obtain the number of determination collection points, which is defined as the determination number;

[0030] If the number of determinations = 1, the first abnormal determination strategy is executed;

[0031] If the determination number is greater than 1, the second abnormality determination strategy is executed.

[0032] As the protection method of the household gas safety control system using the microgrid control strategy described in the present invention, the first abnormality determination strategy is specifically:

[0033] The gas concentration collected at the abnormal collection point is obtained and determined as the abnormal concentration;

[0034] Obtain the gas leakage speed and set it as the target speed;

[0035] Calculate the expected duration of gas leakage, expected duration = abnormal concentration ÷ target speed;

[0036] Obtain the distance between the abnormal collection point and the judgment collection point, and set it as the target distance;

[0037] Calculate the distance the gas will move after a gas leak: moving distance = indoor wind speed × estimated duration;

[0038] If the moving distance is less than the target distance × (1-5%), it means that if there is a gas leak at the collection point, the gas leakage speed is not fast enough for the abnormal collection point to collect abnormal concentration. At this time, the abnormal collection point is determined to be a real abnormal point.

[0039] If the moving distance ≥ target distance × (1-5%), it means that if there is a gas leak at the judgment collection point, the speed of the gas leakage is sufficient to make the abnormal collection point collect abnormal concentration. At this time, the judgment collection point is determined to be a real abnormal point.

[0040] As the protection method of the household gas safety control system using the microgrid control strategy according to the present invention, the second abnormality determination strategy is specifically:

[0041] Obtain abnormal concentration and target speed;

[0042] Calculate the estimated duration of a gas leak;

[0043] Calculate the distance the gas will move after a gas leak: moving distance = indoor wind speed × estimated duration;

[0044] Taking the abnormal acquisition point as the starting point, a determination line segment is drawn in the determination direction, and the length of the determination line segment is the moving distance;

[0045] Extract the end point of the determination line segment and set it as the determination point;

[0046] Extracting the number of determination collection points adjacent to the determination point and setting it as the first reference number;

[0047] Extracting the number of gas concentration collection points adjacent to the determination point and setting it as the second reference number;

[0048] If the first reference quantity = the second reference quantity, and the second reference quantity = 1, then the determination collection point corresponding to the first reference quantity is extracted and determined as the first reference collection point;

[0049] Then the first reference collection point is identified as the real abnormal point;

[0050] If the first reference number = the second reference number, and the second reference number = 2, then the distance between each first reference collection point and the abnormal collection point is obtained respectively and determined as the comparison distance;

[0051] Extracting the first reference acquisition point corresponding to the comparison distance with a small value, and identifying the first reference acquisition point as a real abnormal point;

[0052] If the first reference quantity is less than the second reference quantity, the abnormal collection point is determined to be a true abnormal point.

[0053] As the protection method of the household gas safety control system using the microgrid control strategy described in the present invention, the data determination strategy is specifically as follows:

[0054] Obtain all gas concentration collection points, including kitchenware collection points, water collection points, and pipeline collection points;

[0055] If the actual abnormal point is a water collection point, it is determined that there is a gas leakage problem at the water collection point;

[0056] If the actual abnormal point is a pipeline collection point, it is determined that there is a gas leakage problem at the pipeline collection point;

[0057] If the actual abnormal point is a kitchenware collection point, the kitchenware status is obtained, and the kitchenware status includes being used and not used;

[0058] If the kitchen appliance is in the unused state, it is determined that there is a gas leak at the kitchen appliance collection point;

[0059] If the kitchenware is in use, the number of ignition times of the ignition device of the kitchenware and the ignition duration of each ignition are obtained;

[0060] Calculate the total ignition time, the total ignition time = the sum of the ignition time of each ignition under the ignition number;

[0061] Set duration threshold and quantity threshold;

[0062] If the number of ignitions is ≥ the quantity threshold, and the total ignition duration is ≥ the duration threshold, it is determined that there is no gas leakage problem at the kitchen collection point;

[0063] If the number of ignitions is less than the quantity threshold, or the total ignition duration is less than the duration threshold, it is determined that there is a gas leak at the kitchen collection point.

[0064] As the protection method of the household gas safety control system using the microgrid control strategy described in the present invention, the safety regulation strategy is specifically:

[0065] Control the gas valve to close;

[0066] Control ventilation system to open;

[0067] Get ventilation speed;

[0068] Obtain the real abnormal point where the gas leakage problem is determined and determine it as the leakage abnormal point;

[0069] Obtain the distance between the leakage abnormal point and the ventilation opening of the ventilation system and define it as the ventilation distance;

[0070] Calculate the expected exhaust time of the exhaust gas, expected exhaust time = ventilation distance ÷ ventilation speed.

[0071] As the protection method of the household gas safety control system using the microgrid control strategy described in the present invention, the alarm strategy is specifically:

[0072] Acquire indoor historical data, wherein the indoor historical data includes collection days and indoor number of people;

[0073] Extract the starting time point and ending time point when the number of people in the room is less than 1 on the collection days, and set them as the collection starting time point and collection ending time point respectively;

[0074] Calculate the average starting time point, the average starting time point = the sum of all collection starting time points under the collection days / the number of collection days;

[0075] Calculate the average termination time point, the average termination time point = the sum of all collection termination time points under the collection days / the number of collection days;

[0076] Get the start time point and end time point of a single day;

[0077] The starting time point of a single day is taken as the starting time point, and the average starting time point is taken as the ending time point, which is defined as the first period;

[0078] The average starting time point is taken as the starting time point, and the average ending time point is taken as the ending time point, which is determined as the second period;

[0079] The third period is defined as the average end time point as the starting time point and the end time point of a single day as the end time point;

[0080] Then the first and third time periods are occupied time periods, and the second time period is an unoccupied time period;

[0081] The time point of the abnormal concentration collected at the leakage abnormal point is obtained and is defined as the target time point;

[0082] If the target time point is during a time period when people are present, an audible and visual alarm will be given directly, and the alarm information will be displayed;

[0083] If the target time point is during an unmanned period, an alarm message will be sent to the owner;

[0084] The alarm information includes the location of the abnormal leakage point, the estimated duration of the gas leakage, and the estimated exhaust time of the exhaust gas.

[0085] The present invention has the following beneficial effects:

[0086] 1. The household gas safety assurance method and control system based on the microgrid control strategy sets different gas concentration collection points for the gas equipment, and judges whether there is a gas leak according to the gas concentration collected at different collection points. If the data collected by the gas concentration collection point is greater than the gas threshold, it means that there is a gas leak, so as to initially judge the location of the gas leak, make the data more accurate, and prevent serious consequences due to false alarms or untimely alarm notifications.

[0087] 2. The household gas safety assurance method and control system based on the microgrid control strategy obtains the indoor wind speed and wind direction to determine whether the indoor wind force will affect the gas leakage point initially determined. If the wind force is strong or the leakage time is long, the real abnormal point, that is, the real leakage point of the gas is determined by the indoor wind speed and wind force and the collected gas concentration. If the real abnormal point is a water collection point or a pipeline collection point, it is directly determined that the water-using equipment or pipeline equipment corresponding to the collection point has a gas leakage problem. If the real abnormal point is a kitchen collection point, the use of the kitchen is obtained. If the kitchen is not used, it means that there is a gas leakage in the kitchen equipment. If the kitchen is used, it means that the kitchen may be aging or insensitive, causing a certain amount of gas leakage during the ignition process. When the equipment itself is not in use, there is no gas leakage. At this time, it is determined that there is no gas leakage in the kitchen equipment, making the data more accurate and preventing serious consequences due to false alarms or failure to notify the alarm in time.

[0088] 3. The household gas safety assurance method and control system based on the microgrid control strategy, when determining the presence of gas leakage, promptly controls the gas valve to be closed, and promptly opens the ventilation system for exhaust. At the same time, by obtaining the user's living habits, it is determined whether there is someone indoors when the gas leaks. If there is someone indoors when the gas leaks, an audible and visual alarm is promptly issued, and the leakage location, leakage duration and estimated exhaust time are displayed. If there is no one indoors when the gas leaks, the leakage location, leakage duration and estimated exhaust time are promptly pushed to the user, so as to promptly remind the user to check and repair the location of the gas leak, to prevent serious consequences caused by failure to timely adjust the equipment to eliminate the danger and alarm notification. BRIEF DESCRIPTION OF THE DRAWINGS

[0089] Figure 1 This is a block diagram of a household gas safety control system based on a microgrid control strategy of the present invention;

[0090] Figure 2 A flow chart of a method for ensuring a household gas safety control system based on a microgrid control strategy according to the present invention;

[0091] Figure 3 This is a schematic diagram of the first abnormality determination strategy of the present invention;

[0092] Figure 4 A schematic diagram of the first reference collection point in the second abnormality determination strategy of the present invention;

[0093] Figure 5 It is a schematic diagram of the comparison distance in the second abnormality determination strategy of the present invention;

[0094] Figure 6 Schematic diagram of abnormal collection points in the second abnormality determination strategy of the present invention;

[0095] Figure 7 This is a schematic diagram of all gas concentration collection points in the present invention. DETAILED DESCRIPTION

[0096] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0097] Embodiment 1, household gas safety control system based on microgrid control strategy, see Figure 1-Figure 2 ,include:

[0098] Acquisition module: obtains indoor gas concentration through gas sensors to determine whether there is a gas leak based on the indoor gas concentration;

[0099] Analysis module: Based on the indoor gas concentration, the data analysis strategy is used to generate analysis data to determine whether there are natural factors that cause misjudgment, thereby determining the location of the actual gas leak problem and preventing false alarms caused by misjudgment;

[0100] Judgment module: Based on the analysis data, the judgment data is formed through the data judgment strategy to determine whether there is a misjudgment caused by aging or insensitivity of the equipment, so as to prevent false alarms caused by misjudgment;

[0101] Control module: Determine whether to implement the safety control strategy based on the judgment data. When it is determined that there is a gas leakage problem, close the gas valve in time and exhaust the gas through the ventilation system to prevent the gas from leaking to a certain concentration and causing explosions or fires.

[0102] Alarm module: Execute alarm strategies based on judgment data, determine corresponding alarm methods based on the owner's living habits, and remind the owner of gas leakage problems in the safest, fastest and most effective way, and display the gas leakage point, reminding the owner to check and repair the gas leakage point in time.

[0103] Through the above modules, the location of the gas leakage is determined according to the gas concentration collected at different gas collection points. According to the indoor wind speed and the use of kitchen equipment, it is determined whether there are influencing factors on the determination of the location of the gas leakage, and the actual leakage location is determined. According to the user's living habits, it is determined whether there is someone in the room when the gas leaks, and corresponding alarm measures are taken to remind the user to check and repair the location of the gas leakage, so as to make the data more accurate and prevent serious consequences due to false alarms or untimely alarm notifications.

[0104] Embodiment 2: This embodiment also discloses a method for ensuring the safety of a household gas control system based on a microgrid control strategy. Figure 3-Figure 6 , the data analysis strategy is specifically:

[0105] Get all gas concentration collection points;

[0106] Obtain the gas concentration collected at each gas concentration collection point and define it as the collection concentration;

[0107] Set a gas concentration threshold, which is a threshold for determining whether the indoor gas concentration is abnormal. If the collected concentration is greater than the gas concentration threshold, it means that the indoor gas concentration is abnormal, that is, there may be a gas leakage problem. If the collected concentration is less than the gas concentration threshold, it means that the indoor gas concentration is normal, that is, there is no gas leakage problem.

[0108] If the collected concentration is less than the gas concentration threshold, it means there is no gas leakage problem;

[0109] If the collected concentration is ≥ the gas concentration threshold, it means that the indoor gas concentration is abnormal, and the abnormality determination strategy is executed.

[0110] The abnormality determination strategy is specifically as follows:

[0111] Get indoor wind speed;

[0112] Set a wind speed threshold, which is used to determine whether there is wind indoors. If the indoor wind speed is less than the wind speed threshold, it means that there is no wind indoors or the wind speed is low, which has little or no effect on the gas concentration data collected by the collection point. At this time, the possibility of misjudgment at the collection point is small, and only the gas equipment around the collection point with abnormal data needs to be troubleshooted. If the indoor wind speed is greater than the wind speed threshold, it means that there is wind indoors, which may affect the gas concentration data collected by the collection point. At this time, the possibility of misjudgment at the collection point is high, and further analysis of the wind direction is required to determine the real faulty gas equipment;

[0113] If the indoor wind speed is less than the wind speed threshold, the gas concentration collection point where the indoor gas concentration is abnormal is determined to be the real abnormal point;

[0114] If the indoor wind speed is ≥ the wind speed threshold, the data collected by the gas concentration collection point with abnormal indoor gas concentration is determined to be deviation data, and the deviation determination strategy is executed.

[0115] The deviation determination strategy is specifically as follows:

[0116] The gas concentration collection point with abnormal indoor gas concentration is determined as an abnormal collection point;

[0117] Get indoor wind direction;

[0118] Take the abnormal collection point as the reference point, the indoor wind direction as the reference direction, and make a vector direction opposite to the indoor wind direction as the determination direction, such as Figure 3 As shown;

[0119] If there is no gas concentration collection point on the side of the determination direction of the abnormal collection point, the abnormal collection point is determined to be a real abnormal point;

[0120] If there is a gas concentration collection point on one side of the determination direction of the abnormal collection point, the gas concentration collection point on the one side of the determination direction of the abnormal collection point is determined as the determination collection point;

[0121] Obtain the number of determination collection points, which is defined as the determination number;

[0122] If the number of determinations = 1, the first abnormal determination strategy is executed;

[0123] If the determination number is greater than 1, the second abnormality determination strategy is executed.

[0124] This embodiment also provides that the first abnormality determination strategy is specifically as follows: Figure 3 As shown:

[0125] The gas concentration collected at the abnormal collection point is obtained and determined as the abnormal concentration;

[0126] Obtain the gas leakage speed and set it as the target speed;

[0127] Calculate the expected duration of gas leakage, expected duration = abnormal concentration ÷ target speed;

[0128] Obtain the distance between the abnormal collection point and the judgment collection point, and set it as the target distance;

[0129] Calculate the distance the gas will move after a gas leak: moving distance = indoor wind speed × estimated duration;

[0130] If the moving distance is less than the target distance × (1-5%), it means that if there is a gas leak at the collection point, the gas leakage speed is not fast enough for the abnormal collection point to collect abnormal concentration. At this time, the abnormal collection point is determined to be a real abnormal point.

[0131] If the moving distance ≥ target distance × (1-5%), it means that if there is a gas leak at the judgment collection point, the speed of the gas leakage is sufficient to make the abnormal collection point collect abnormal concentration. At this time, the judgment collection point is determined to be a real abnormal point.

[0132] This embodiment also provides that the second abnormality determination strategy is specifically as follows: Figure 4-6 As shown:

[0133] Obtain abnormal concentration and target speed;

[0134] Calculate the estimated duration of a gas leak;

[0135] Calculate the distance the gas will move after a gas leak: moving distance = indoor wind speed × estimated duration;

[0136] Taking the abnormal acquisition point as the starting point, a determination line segment is drawn in the determination direction, and the length of the determination line segment is the moving distance;

[0137] Extract the end point of the determination line segment and set it as the determination point;

[0138] Extracting the number of determination collection points adjacent to the determination point and setting it as the first reference number;

[0139] Extracting the number of gas concentration collection points adjacent to the determination point and setting it as the second reference number;

[0140] If the first reference number = the second reference number, and the second reference number = 1, then the determination collection point corresponding to the first reference number is extracted and defined as the first reference collection point, indicating that the determination point is located on the determination direction side of the most edge determination collection point, indicating that the first reference collection point is the most edge determination collection point, and indicating that the first reference collection point is the real gas leakage point, such as Figure 4 As shown;

[0141] Then the first reference collection point is identified as the real abnormal point;

[0142] If the first reference number = the second reference number, and the second reference number = 2, then the distance between each first reference collection point and the abnormal collection point is obtained and defined as the comparison distance, indicating that the determination point is located between the two determination collection points, and the first reference collection point closest to the abnormal collection point is the real gas leakage point. Figure 5 As shown;

[0143] Extracting the first reference acquisition point corresponding to the comparison distance with a small value, and identifying the first reference acquisition point as a real abnormal point;

[0144] If the first reference quantity is less than the second reference quantity, the abnormal collection point is considered to be a real abnormal point, that is, the second reference quantity is 2 and the first reference quantity is 1, indicating that the determination point is located between the abnormal collection point and the determination collection point, and if there is a gas leak at the determination collection point, the gas leakage speed is not enough to make the abnormal collection point collect abnormal concentrations. Figure 6 shown.

[0145] Embodiment 3: This embodiment is an improvement made on the basis of Embodiment 2. The protection method of the household gas safety control system based on the microgrid control strategy is used. The data determination strategy is specifically as follows:

[0146] Get all gas concentration collection points, including kitchenware collection points, water collection points and pipeline collection points, such as Figure 7 As shown;

[0147] If the actual abnormal point is a water collection point, it is determined that there is a gas leakage problem at the water collection point;

[0148] If the actual abnormal point is a pipeline collection point, it is determined that there is a gas leakage problem at the pipeline collection point;

[0149] If the real abnormal point is a kitchenware collection point, then the kitchenware status is obtained. The kitchenware status includes being used and not being used. The kitchenware status is the usage of the gas stove. If the kitchenware status is not being used, it means that the gas stove is not being used at this time, and it is determined that there is a gas leakage problem at the kitchenware collection point. If the kitchenware status is being used, it means that the gas stove is being used at this time, and the abnormal gas concentration is a certain degree of gas leakage caused by the long ignition time of the gas stove or the insensitivity of the ignition device. This situation indicates that there is no gas leakage problem in the kitchenware related equipment;

[0150] If the kitchen appliance is in the unused state, it is determined that there is a gas leak at the kitchen appliance collection point;

[0151] If the kitchenware is in use, the number of ignitions of the ignition device of the kitchenware and the ignition duration of each ignition are obtained, wherein the number of ignitions is the number of ignition operations of the ignition device of the kitchenware. For example, if there are three ignition operations in the process of the ignition device of the kitchenware igniting the fire, the number of ignitions is 3, and the ignition duration of each ignition is the duration of each ignition operation. Pressing the ignition device is the starting operation, and releasing the ignition device is the ending operation. Then one starting operation and one ending operation are one ignition operation, and the duration of one starting operation and one ending operation is the ignition duration of the ignition operation.

[0152] Calculate the total ignition time, which is the sum of the ignition time of each ignition under the ignition times. For example, if the ignition times are 3, and the ignition time of each ignition is 1 minute, 0.5 minutes, and 1.5 minutes respectively, the total ignition time is 3 minutes.

[0153] A duration threshold and a quantity threshold are set. The duration threshold is a threshold for judging whether the total ignition duration of the ignition device of the kitchenware is too long. The quantity threshold is a threshold for judging whether the number of ignitions of the ignition device of the kitchenware is too many. If the number of ignitions is greater than the quantity threshold and the total ignition duration is greater than the duration threshold, it indicates that the ignition device of the kitchenware may be insensitive due to damage or aging, thereby causing a certain amount of gas leakage during the ignition operation, making the data collected by the kitchenware collection point abnormal. At this time, there is no gas leakage problem at the kitchenware collection point. If the number of ignitions is less than the quantity threshold or the total ignition duration is less than the duration threshold, it indicates that the ignition device is sensitive. At this time, there may be a gas leakage problem at the kitchenware collection point.

[0154] If the number of ignitions is ≥ the quantity threshold, and the total ignition duration is ≥ the duration threshold, it is determined that there is no gas leakage problem at the kitchen collection point;

[0155] If the number of ignitions is less than the quantity threshold, or the total ignition duration is less than the duration threshold, it is determined that there is a gas leak at the kitchen collection point.

[0156] Embodiment 4: This embodiment is an improvement made on the basis of embodiment 3. In this embodiment, the security control strategy is specifically as follows:

[0157] Control the gas valve to close;

[0158] Control ventilation system to open;

[0159] Get ventilation speed;

[0160] Obtain the real abnormal point where the gas leakage problem is determined and determine it as the leakage abnormal point;

[0161] Obtain the distance between the leakage abnormal point and the ventilation opening of the ventilation system and define it as the ventilation distance;

[0162] Calculate the expected exhaust time of the exhaust gas, expected exhaust time = ventilation distance ÷ ventilation speed.

[0163] This embodiment also provides that the alarm strategy is specifically:

[0164] Acquire indoor historical data, wherein the indoor historical data includes collection days and indoor number of people;

[0165] Extract the starting time point and ending time point when the number of people in the room is less than 1 on the collection days, and set them as the collection starting time point and collection ending time point respectively;

[0166] Calculate the average starting time point, the average starting time point = the sum of all collection starting time points under the collection days / the number of collection days, such as the average starting time point is 7:30;

[0167] Calculate the average termination time point, which is the sum of all the termination time points of the collection under the collection days / the number of collection days. For example, the average termination time point is 18:30;

[0168] Get the start time point and end time point of a single day, the start time point of a single day is 00:00, and the end time point of a single day is 23:59;

[0169] The start time of a single day is taken as the start time, and the average start time is taken as the end time, which is defined as the first period. For example, if the average start time is 7:30, the first period is 00:00-7:30;

[0170] The average starting time point is taken as the starting time point, and the average ending time point is taken as the ending time point, which is defined as the second period. For example, if the average starting time point is 7:30 and the average ending time point is 18:30, then the second period is 7:30-18:30;

[0171] The third period is defined as the average end time as the starting time point and the end time point of a single day as the end time point. For example, if the average end time point is 18:30, the third period is 18:30-23:59.

[0172] The first and third time periods are occupied time periods, and the second time period is unoccupied time period. For example, if the first time period is 00:00-7:30, the second time period is 7:30-18:30, and the third time period is 18:30-23:59, then the occupied time periods are 00:00-7:30 and 18:30-23:59, and the unoccupied time period is 7:30-18:30;

[0173] The time point of the abnormal concentration collected at the leakage abnormal point is obtained and is defined as the target time point;

[0174] If the target time point is during a time period when people are present, an audible and visual alarm will be given directly, and the alarm information will be displayed;

[0175] If the target time point is during an unmanned period, an alarm message will be sent to the owner;

[0176] The alarm information includes the location of the abnormal leakage point, the estimated duration of the gas leakage, and the estimated exhaust time of the exhaust gas.

[0177] In this embodiment, the location of the gas leakage is determined based on the gas concentration collected at different gas collection points, and whether there are influencing factors on the determination of the location of the gas leakage is determined based on the indoor wind speed and the use of kitchen appliances, and the actual leakage location is determined. Based on the user's living habits, it is determined whether there is someone in the room when the gas leaks, and corresponding alarm measures are taken to remind the user to check and repair the location of the gas leakage, so as to make the data more accurate and prevent serious consequences caused by false alarms or untimely alarm notifications.

Claims

1. A household gas safety control system based on a microgrid control strategy, characterized by: include: Acquisition module: obtains indoor gas concentration through gas sensors to determine whether there is a gas leak based on the indoor gas concentration; Analysis module: Based on the indoor gas concentration, the data analysis strategy is used to generate analysis data to determine whether there are natural factors that cause misjudgment, thereby determining the location of the actual gas leak problem and preventing false alarms caused by misjudgment; Judgment module: Based on the analysis data, the judgment data is formed through the data judgment strategy to determine whether there is a misjudgment caused by aging or insensitivity of the equipment, so as to prevent false alarms caused by misjudgment; Control module: Determine whether to implement the safety control strategy based on the judgment data. When it is determined that there is a gas leakage problem, close the gas valve in time and exhaust the gas through the ventilation system to prevent the gas from leaking to a certain concentration and causing a dangerous situation; Alarm module: Execute alarm strategies based on judgment data, determine corresponding alarm methods based on the owner's living habits, and remind the owner of gas leakage problems in the safest, fastest and most effective way, and display the gas leakage point, reminding the owner to check and repair the gas leakage point in time; The data analysis strategy is specifically as follows: Get all gas concentration collection points; Obtain the gas concentration collected at each gas concentration collection point and define it as the collection concentration; Set gas concentration thresholds; If the collected concentration is less than the gas concentration threshold, it means there is no gas leakage problem; If the collected concentration is ≥ the gas concentration threshold, it means that the indoor gas concentration is abnormal, and the abnormality determination strategy is executed; The abnormality determination strategy is specifically as follows: Get indoor wind speed; Set wind speed threshold; If the indoor wind speed is less than the wind speed threshold, the gas concentration collection point where the indoor gas concentration is abnormal is determined to be the real abnormal point; If the indoor wind speed is ≥ the wind speed threshold, the data collected by the gas concentration collection point with abnormal indoor gas concentration is determined to be deviation data, and the deviation determination strategy is executed; The deviation determination strategy is specifically as follows: The gas concentration collection point with abnormal indoor gas concentration is determined as an abnormal collection point; Get indoor wind direction; Take the abnormal collection point as the reference point, the indoor wind direction as the reference direction, and make a vector direction opposite to the indoor wind direction as the determination direction; If there is no gas concentration collection point on the side of the determination direction of the abnormal collection point, the abnormal collection point is determined to be a real abnormal point; If there is a gas concentration collection point on one side of the determination direction of the abnormal collection point, the gas concentration collection point on the one side of the determination direction of the abnormal collection point is determined as the determination collection point; Obtain the number of determination collection points, which is defined as the determination number; If the number of determinations = 1, the first abnormal determination strategy is executed; If the number of determinations is greater than 1, the second abnormal determination strategy is executed; The first abnormality determination strategy is specifically: The gas concentration collected at the abnormal collection point is obtained and determined as the abnormal concentration; Obtain the gas leakage speed and set it as the target speed; Calculate the expected duration of gas leakage, expected duration = abnormal concentration ÷ target speed; Obtain the distance between the abnormal collection point and the judgment collection point, and set it as the target distance; Calculate the distance the gas will move after a gas leak: moving distance = indoor wind speed × estimated duration; If the moving distance is less than the target distance × (1-5%), it means that if there is a gas leak at the collection point, the gas leakage speed is not fast enough for the abnormal collection point to collect abnormal concentration. At this time, the abnormal collection point is determined to be a real abnormal point. If the moving distance ≥ target distance × (1-5%), it means that if there is a gas leak at the judgment collection point, the speed of the gas leakage is sufficient to make the abnormal collection point collect abnormal concentration. At this time, the judgment collection point is determined to be a real abnormal point.

2. The method for ensuring a household gas safety control system based on a microgrid control strategy according to claim 1 is characterized in that: The second abnormality determination strategy is specifically: Obtain abnormal concentration and target speed; Calculate the estimated duration of a gas leak; Calculate the distance the gas will move after a gas leak: moving distance = indoor wind speed × estimated duration; Taking the abnormal acquisition point as the starting point, a determination line segment is drawn in the determination direction, and the length of the determination line segment is the moving distance; Extract the end point of the determination line segment and set it as the determination point; Extracting the number of determination collection points adjacent to the determination point and setting it as the first reference number; Extracting the number of gas concentration collection points adjacent to the determination point and setting it as the second reference number; If the first reference quantity = the second reference quantity, and the second reference quantity = 1, then the determination collection point corresponding to the first reference quantity is extracted and determined as the first reference collection point; Then the first reference collection point is identified as the real abnormal point; If the first reference number = the second reference number, and the second reference number = 2, then the distance between each first reference collection point and the abnormal collection point is obtained respectively and determined as the comparison distance; Extracting the first reference acquisition point corresponding to the comparison distance with a small value, and identifying the first reference acquisition point as a real abnormal point; If the first reference quantity is less than the second reference quantity, the abnormal collection point is determined to be a true abnormal point.

3. The method for ensuring a household gas safety control system based on a microgrid control strategy according to claim 1 is characterized in that: The data determination strategy is specifically as follows: Obtain all gas concentration collection points, including kitchenware collection points, water collection points, and pipeline collection points; If the actual abnormal point is a water collection point, it is determined that there is a gas leakage problem at the water collection point; If the actual abnormal point is a pipeline collection point, it is determined that there is a gas leakage problem at the pipeline collection point; If the actual abnormal point is a kitchenware collection point, the kitchenware status is obtained, and the kitchenware status includes being used and not used; If the kitchen appliance is in the unused state, it is determined that there is a gas leak at the kitchen appliance collection point; If the kitchenware is in use, the number of ignition times of the ignition device of the kitchenware and the ignition duration of each ignition are obtained; Calculate the total ignition time, the total ignition time = the sum of the ignition time of each ignition under the ignition number; Set duration threshold and quantity threshold; If the number of ignitions is ≥ the quantity threshold, and the total ignition duration is ≥ the duration threshold, it is determined that there is no gas leakage problem at the kitchen collection point; If the number of ignitions is less than the quantity threshold, or the total ignition duration is less than the duration threshold, it is determined that there is a gas leak at the kitchen collection point.

4. The method for ensuring a household gas safety control system based on a microgrid control strategy according to claim 1 is characterized in that: The security control strategy is specifically: Control the gas valve to close; Control ventilation system to open; Get ventilation speed; Obtain the real abnormal point where the gas leakage problem is determined and determine it as the leakage abnormal point; Obtain the distance between the leakage abnormal point and the ventilation opening of the ventilation system and define it as the ventilation distance; Calculate the expected exhaust time of the exhaust gas, expected exhaust time = ventilation distance ÷ ventilation speed.

5. The method for ensuring a household gas safety control system based on a microgrid control strategy according to claim 1 is characterized in that: The alarm strategy is specifically: Acquire indoor historical data, wherein the indoor historical data includes collection days and indoor number of people; Extract the starting time point and ending time point when the number of people in the room is less than 1 on the collection days, and set them as the collection starting time point and collection ending time point respectively; Calculate the average starting time point, the average starting time point = the sum of all collection starting time points under the collection days / the number of collection days; Calculate the average termination time point, the average termination time point = the sum of all collection termination time points under the collection days / the number of collection days; Get the start time point and end time point of a single day; The starting time point of a single day is taken as the starting time point, and the average starting time point is taken as the ending time point, which is defined as the first period; The average starting time point is taken as the starting time point, and the average ending time point is taken as the ending time point, which is determined as the second period; The third period is defined as the average end time point as the starting time point and the end time point of a single day as the end time point; Then the first and third time periods are occupied time periods, and the second time period is an unoccupied time period; The time point of the abnormal concentration collected at the leakage abnormal point is obtained and is defined as the target time point; If the target time point is during a time period when people are present, an audible and visual alarm will be given directly, and the alarm information will be displayed; If the target time point is during an unmanned period, an alarm message will be sent to the owner; The alarm information includes the location of the abnormal leakage point, the estimated duration of the gas leakage, and the estimated exhaust time of the exhaust gas.

Images