CN113703381B

CN113703381B - Gas alarm safety data acquisition method and terminal based on Internet of things

Info

Publication number: CN113703381B
Application number: CN202111266847.0A
Authority: CN
Inventors: 郝建; 郑妍彦
Original assignee: Sichuan Gaocheng Internet Of Things Technology Co ltd
Current assignee: Sichuan Gaocheng Internet Of Things Technology Co ltd
Priority date: 2021-10-29
Filing date: 2021-10-29
Publication date: 2022-01-11
Anticipated expiration: 2041-10-29
Also published as: CN113703381A

Abstract

The application relates to a gas alarm safety data acquisition method and terminal based on the Internet of things, including obtaining the normal use state data of the gas equipment to be monitored, obtain based on preset image acquisition device the real-time monitoring image of the area to be monitored of the gas equipment to be monitored is located, and judge according to the real-time monitoring image the current use state of the gas equipment to be monitored obtains the current gas actual consumption data of the gas equipment to be monitored in the preset data acquisition time period, and the quantity of the current gas actual consumption value exceeding the theoretical consumption maximum value is recorded as the abnormal consumption quantity, and judges whether the abnormal consumption quantity is more than or equal to the preset reasonable consumption quantity, when judging as yes, then send the gas use based on the preset internet of things information sending device and reveal and alert to the user. The invention greatly improves the safety performance, the accuracy of data acquisition of the gas alarm and the reliability of gas abnormity early warning after safety data acquisition.

Description

Gas alarm safety data acquisition method and terminal based on Internet of things

Technical Field

The application relates to the technical field of gas alarms, in particular to a safety data acquisition method and terminal of a gas alarm based on the Internet of things.

Background

The gas alarm is a gas leakage detection alarm instrument, and when gas leakage occurs in an industrial or household environment and the gas alarm detects that the gas concentration reaches a critical point set by an explosion or poison alarm, the gas alarm can send out an alarm signal.

With the technical development of gas alarms and the attention of people on gas alarms, the technology of the internet of things is gradually applied to the field of gas alarms, for example, the invention patent with the application number of CN202110175459.5 discloses a wireless remote transmission linkage cutting method for a household gas alarm of the internet of things, and a gold card internet of things remote transmission system and a user remote transmission gas management system are set up by a gas company; the method comprises the following steps that an Internet of things flowmeter, a combustible gas detector, a cut-off valve and a gas alarm are installed at a gas pipeline of a user; the internet of things flowmeter, the combustible gas detector and the cut-off valve have a data remote transmission function respectively, and the internet of things flowmeter, the combustible gas detector and the cut-off valve carry out information interaction with a user remote transmission gas management system through a gold card internet of things remote transmission system.

Although the technical scheme can send information to managers and users in real time through data remote transmission and remote control of the stop valve, the safety hazard exists at the moment if the alarm is given when the collected gas concentration exceeds a certain concentration, and most of gas alarms in the market have similar problems.

Obviously, the safety data acquisition and early warning of the gas alarm in the prior art have the problems of inaccurate data acquisition and inaccurate early warning, so that the safety is low.

Disclosure of Invention

Based on this, it is necessary to provide a method and a terminal for acquiring security data of a gas alarm based on the internet of things, which can improve the accuracy of data acquisition and the reliability of early warning of the gas alarm, in view of the above technical problems.

The technical scheme of the invention is as follows:

a safety data acquisition method for a gas alarm based on the Internet of things comprises the following steps:

step S1: acquiring normal use state data of gas equipment to be monitored, wherein the normal use state data comprise a plurality of standard gears and a plurality of gas consumption theoretical range data, each standard gear corresponds to one gas consumption theoretical range data, the gas consumption theoretical range data are range data formed from a theoretical consumption minimum value to a theoretical consumption maximum value, and the theoretical consumption maximum value is a maximum gas consumption value allowed by the maximum opening degree of a corresponding gas pipeline in the standard gears;

step S2: acquiring a real-time monitoring image of a to-be-monitored area where the to-be-monitored gas equipment is located based on a preset image acquisition device, and judging the current use state of the to-be-monitored gas equipment according to the real-time monitoring image, wherein the current use state is a manned use state or an unmanned use state;

step S3: when the gas equipment to be monitored is judged to be in a manned use state, acquiring current actual gas consumption data of the gas equipment to be monitored in a preset data acquisition time period, wherein the current actual gas consumption data comprises a current actual gas consumption value;

step S4: judging whether the theoretical consumption maximum value in the gas consumption theoretical range data is exceeded in each current gas actual consumption value, recording the number of the current gas actual consumption values exceeding the theoretical consumption maximum value as an abnormal consumption number, judging whether the abnormal consumption number is larger than or equal to a preset reasonable consumption number, and sending a gas use leakage warning to a user based on a preset internet of things information sending device when the abnormal consumption number is judged to be larger than or equal to the preset reasonable consumption number.

Specifically, in step S4, when it is determined that the abnormal consumption amount is smaller than the preset reasonable consumption amount, the method further includes:

step S41: dividing the data acquisition time periods according to preset standard time intervals and respectively forming split time periods;

step S42: respectively acquiring the abnormal consumption quantity in each splitting time period, and respectively recording the abnormal consumption quantity as the splitting abnormal quantity;

step S43: generating abnormal consumption growth rate of adjacent splitting time periods according to the splitting abnormal quantity;

step S44: generating a total growth trend value according to each abnormal consumption growth rate;

step S45: judging whether the total growth trend value is larger than a preset normal fluctuation value or not;

step S46: and if the total growth trend value is judged to be larger than the preset normal fluctuation value, generating a gas abnormity early warning prompt, and sending the gas abnormity early warning prompt to a user based on a preset internet of things information sending device.

Specifically, the area to be monitored comprises a gas using area and a personnel activity area, the image acquisition device comprises a gas image acquisition device and a personnel image acquisition device, the gas image acquisition device is used for acquiring images of objects in the gas using area, and the personnel image acquisition device is used for acquiring images of active personnel in the personnel activity area;

the manned use state comprises an unsupervised use state and a supervised use state;

step S2: acquiring a real-time monitoring image of a to-be-monitored area where the to-be-monitored gas equipment is located based on a preset image acquisition device, and judging the current use state of the to-be-monitored gas equipment according to the real-time monitoring image, wherein the current use state is a manned use state or an unmanned use state; the method specifically comprises the following steps:

step S21: carrying out real-time image acquisition on objects in the gas using area based on a preset gas image acquisition device, and acquiring a flame condition image;

step S22: judging whether the gas equipment is in an ignition state or not according to the flame condition image;

step S23: when the gas equipment is judged to be in a non-ignition state, judging that the gas equipment to be monitored is in an unmanned use state;

step S24: when the gas equipment is judged to be in an ignition state, image acquisition is carried out on active personnel in the personnel activity area in real time based on a preset personnel image acquisition device, and a current personnel moving image is obtained;

step S25: and judging whether the personnel activity area has personnel activity and exceeds a preset first activity time according to the personnel moving image, if so, judging that the gas equipment to be monitored is in a supervision use state, otherwise, judging that the gas equipment to be monitored is in a non-supervision use state.

Specifically, in step S25, if there is no personnel activity in the personnel activity area, or there is personnel activity but the first preset activity time is not exceeded, after determining that the gas equipment to be monitored is in the non-monitoring use state, the method further includes:

step S251: acquiring real-time images of objects in the gas using area based on the gas image acquisition device, and acquiring actual state images of current gas using devices;

step S252: importing the actual state image into a preset gas consumption abnormal state image database, performing traversal query in the gas consumption abnormal state image database, and generating a traversal query result, wherein the gas consumption abnormal state image database is preset and stores a plurality of gas consumption abnormal images, and the traversal query result comprises a target matching result or a target mismatching result;

step S253: and when the traversal query result is a target matching result, generating an abnormal reminding of the gas-using device, and sending the abnormal reminding of the gas-using device to a user based on the internet of things information sending device.

Specifically, step S23: when judging that gas equipment is non-ignition state, then judge treat monitoring gas equipment is unmanned use state, later still include:

step S231: acquiring the ambient gas concentration of the area to be monitored in real time;

step S232: judging whether the concentration of the environmental gas exceeds a preset qualified environmental concentration;

step S233: when the concentration of the environmental gas is judged to exceed the qualified environmental concentration, judging that gas leakage occurs when no one is present; and when the concentration of the environmental gas is judged not to exceed the qualified environmental concentration, judging that no gas leakage occurs when no person exists.

Specifically, in step S233, when it is determined that gas leakage occurs when no one is present, the method further includes:

step S51: generating a gas area blocking instruction, and sending the gas area blocking instruction to a door leaf driving device preset in the area to be monitored, wherein the door leaf driving device is in driving connection with an automatic door leaf in the area to be monitored, the gas area blocking instruction is used for controlling the door leaf driving device to drive the automatic door leaf to close, and after the automatic door leaf is closed, gas in the area to be monitored is blocked from being diffused to other areas;

step S52: after the automatic door leaf is closed, generating a ventilation equipment opening instruction, and sending the ventilation equipment opening instruction to a ventilation driving device preset in the area to be monitored, wherein the ventilation driving device is in driving connection with ventilation equipment in the area to be monitored, and the ventilation equipment opening instruction is used for controlling the ventilation driving device to open the ventilation equipment;

step S53: when the gas area blocking instruction is generated, an open fire equipment closing instruction is generated at the same time, the open fire equipment closing instruction is sent to open fire equipment in the area to be monitored, and the open fire equipment closing instruction is used for controlling the open fire equipment to be closed.

Specifically, step S53: when generating the gas zone blockade instruction, generate naked light equipment simultaneously and close the instruction, and with naked light equipment closes the instruction and sends to the naked light equipment in waiting to monitor the region, the naked light equipment closes the instruction and is used for controlling the naked light equipment is closed, still includes simultaneously:

step S531: generating a gas leakage reminder, and sending the gas leakage reminder to a user based on a preset internet of things information sending device, wherein the user at least comprises an owner of the gas equipment to be monitored and maintenance personnel of the gas equipment to be monitored;

step S532: generating a gas pause supply instruction, and sending the gas pause supply instruction to a start-stop driving device of the gas pipeline, wherein the gas pause supply instruction is used for controlling the start-stop driving device to close the gas pipeline.

Specifically, step S53: when generating the gas area blockade instruction, generate naked light equipment closing instruction simultaneously, and with naked light equipment closing instruction sends the naked light equipment in waiting to monitor the area, the naked light equipment closing instruction is used for controlling the naked light equipment is closed, later still includes:

step S54: acquiring the air gas concentration of the area to be monitored in real time, and judging whether the air gas concentration is reduced to a preset safe gas concentration range;

step S55: and when the concentration of the air and the fuel gas is judged to be reduced to the range of the concentration of the safe fuel gas, generating an equipment recovery instruction, and sending the equipment recovery instruction to the door leaf driving device, the ventilation driving device and the open fire equipment, wherein the equipment recovery instruction is used for controlling the door leaf driving device to drive the automatic door leaf to be opened, controlling the ventilation driving device to close the ventilation equipment and controlling the open fire equipment to be recovered to be opened.

Specifically speaking, a gas alarm safety data acquisition terminal based on thing networking, the terminal includes:

the system comprises a data acquisition module, a data acquisition module and a data processing module, wherein the data acquisition module is used for acquiring normal use state data of the gas equipment to be monitored, the normal use state data comprises a plurality of standard gears and a plurality of gas consumption theoretical range data, each standard gear corresponds to one gas consumption theoretical range data, the gas consumption theoretical range data is range data formed from a theoretical consumption minimum value to a theoretical consumption maximum value, and the theoretical consumption maximum value is a maximum gas consumption value allowed by the maximum opening degree of a corresponding gas pipeline in the standard gears;

the system comprises an image acquisition module, a monitoring module and a monitoring module, wherein the image acquisition module is used for acquiring a real-time monitoring image of a to-be-monitored area where the to-be-monitored gas equipment is located based on a preset image acquisition device and judging the current use state of the to-be-monitored gas equipment according to the real-time monitoring image, and the current use state is a person use state or an unmanned use state;

the gas acquisition module is used for acquiring current actual gas consumption data of the gas equipment to be monitored in a preset data acquisition time period when the gas equipment to be monitored is judged to be in a manned use state, wherein the current actual gas consumption data comprises a current actual gas consumption value;

and the data judgment module is used for judging whether the theoretical consumption maximum value in the gas consumption theoretical range data is exceeded in each current gas actual consumption value, recording the number of the current gas actual consumption values exceeding the theoretical consumption maximum value as an abnormal consumption number, judging whether the abnormal consumption number is greater than or equal to a preset reasonable consumption number, and sending a gas use leakage warning to a user based on a preset internet of things information sending device when the abnormal consumption number is judged to be the abnormal consumption number.

Specifically, a gas alarm safety data acquisition terminal based on thing networking includes:

a memory for storing a program;

and the processor is used for loading the program to execute the safe data acquisition method of the gas alarm based on the Internet of things.

The invention has the following technical effects:

the method and the terminal for acquiring the safety data of the gas alarm based on the Internet of things sequentially acquire the normal use state data of the gas equipment to be monitored, wherein the normal use state data comprise a plurality of standard gears and a plurality of theoretical gas consumption range data, each standard gear corresponds to one theoretical gas consumption range data, the theoretical gas consumption range data are range data formed by a theoretical consumption minimum value to a theoretical consumption maximum value, the theoretical consumption maximum value is a maximum gas consumption value allowed by the maximum opening degree of a corresponding gas pipeline at the standard gear, a preset image acquisition device is used for acquiring a real-time monitoring image of an area to be monitored where the gas equipment to be monitored is located, and the current use state of the gas equipment to be monitored is judged according to the real-time monitoring image, the method comprises the steps of acquiring current actual gas consumption data of the gas equipment to be monitored in a preset data acquisition time period when the current use state is judged to be the manned use state or the unmanned use state, judging whether the current actual gas consumption data comprise current actual gas consumption values or not, judging whether the theoretical consumption maximum value in the theoretical gas consumption range data is exceeded or not in each current actual gas consumption value, recording the number of the current actual gas consumption values exceeding the theoretical consumption maximum value as abnormal consumption number, judging whether the abnormal consumption number is larger than or equal to a preset reasonable consumption number or not, and sending a gas use leakage alarm to a user based on a preset internet of things information sending device when the abnormal consumption number is judged to be larger than or equal to the preset reasonable consumption number, the method and the device have the advantages that the gas leakage is timely early-warned based on the internet of things technology, the safety problem caused by inaccurate control of early-warning time of the gas leakage is avoided, the safety performance is greatly improved, the accuracy of data acquisition of the gas alarm is greatly improved, and the reliability of abnormal gas early warning after safety data acquisition is improved.

Drawings

FIG. 1 is a schematic flow chart of a safety data acquisition method of a gas alarm based on the Internet of things in one embodiment;

FIG. 2 is a data diagram of an embodiment in which data acquisition time periods are divided according to a preset standard time interval and split time periods are respectively formed;

FIG. 3 is a block diagram of a safety data acquisition terminal of a gas alarm based on the Internet of things in one embodiment;

FIG. 4 is a diagram illustrating an internal structure of a computer device according to an embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

In one embodiment, as shown in fig. 1, there is provided a method for acquiring safety data of a gas alarm based on the internet of things, the method comprising:

specifically, the gas equipment to be monitored is related kitchen utensils consuming gas in daily life, such as gas stoves, cooking ovens, gas steamers and other kitchen utensils. The normal use state data is normal equipment parameters formed by working parameters of the gas equipment to be monitored in normal operation, namely normal working parameters of the gas stove, the cooking oven, the gas steamer and other kitchen utensils.

Further, no matter be possess the kitchen utensils and appliances of predetermineeing the gear or set up the gas utensil of firepower size according to the knob, all can correspond the gas pipeline of opening different widths when the user adjusts the gear that the difference corresponds, and the gas pipeline of having opened different widths then can consume different gas numerical values.

In order to realize accurate collection and subsequent accurate judgment of the gas alarm safety data, the gas consumption values corresponding to the gas pipelines with different widths are considered to be possibly constant and consistent, and each standard gear is set to correspond to one gas consumption theoretical range data.

In fact, when the opening degree of the gas pipeline is fixed, the gas quantity which can pass through the gas pipeline is fixed, and the gas pipeline corresponds to a range with throughput, namely the gas consumption theoretical range data. In the actual use process of the gas, due to the fact that the existing gas detection equipment has errors in detection of the gas consumption value, occasionally few gas consumption values may not belong to the gas consumption theoretical range data, and for example, after testing by a person skilled in the art, it is found that the number of times of occurrence of the gas consumption values exceeding the gas consumption theoretical range data in 2-hour gas detection of a common gas detector is 2 times. Of course, the actual data of different apparatuses are different, and the data are actually measured by those skilled in the art according to actual situations.

In this embodiment, taking the gas stove as an example, if the gas stove has four gears, which are A, B, C and D, respectively, the A, B, C and D represent a small fire, a medium fire, a large fire and a small fire, respectively. A. B, C and D gears are respectively corresponding to theoretical range data of gas consumption, namely P1 cubic meter-P2 cubic meter, Q1 cubic meter-Q2 cubic meter, X1 cubic meter-X2 cubic meter and Y1 cubic meter-Y2 cubic meter.

Furthermore, the normal use state data of different gas equipment to be monitored are different, and the standard gear and the corresponding gas consumption theoretical range data can be acquired according to an equipment use manual, or the data acquisition of the gas equipment is carried out by related staff of a gas company.

specifically, the difference of gas early warning modes when someone uses the gas equipment to be monitored and nobody uses the gas equipment to be monitored is considered, so whether someone is using the gas equipment to be monitored needs to be judged first, and whether someone is using the gas equipment to be monitored is judged accurately, so that image acquisition is carried out through the image acquisition device, and then judgment is carried out. The image acquisition device may be, but is not limited to, a camera device.

Compared with the prior art, the historical usage record of the to-be-monitored equipment used by the user, which is acquired in advance, is used as a daily usage habit to judge whether people are in existence or not, the real-time monitoring image is acquired and obtained in real time based on the image acquisition device in the step, so that the judgment is realized according to the real-time accurate image, and the actual usage state of the to-be-monitored gas equipment by the user is obtained by utilizing the image.

specifically, when a person is in a use state, it is indicated that the user is using the to-be-monitored device at this time, and then, in order to realize accurate judgment and acquisition of safety data, current actual gas consumption data of the to-be-monitored gas device within a preset data acquisition time period is acquired, where the current actual gas consumption data is a value of gas actually consumed by the to-be-monitored gas device.

Specifically, whether the situation of gas leakage occurs in the normal use process of the gas is determined by determining whether the theoretical maximum consumption value in the theoretical range data of the gas consumption is exceeded or not in each current actual gas consumption value, wherein the reasonable consumption number is preset, and if the number of times of the value of the gas consumption exceeding the theoretical range data of the gas consumption occurring when the gas is detected within 2 hours is 2 times, the reasonable consumption number can be set to be 2, then when the abnormal consumption number is determined to be greater than or equal to the preset reasonable consumption number, the problem existing in the detection device is filtered, and when the opening degree of the gas pipeline is certain, the actual gas consumption is greater than the theoretical maximum consumption value corresponding to the opening degree of the gas pipeline, which indicates that the gas pipeline is not removed, still leak other pipeline departments to gas, and then can judge this moment the condition that has gas leakage in the use of gas, there is the damage of the opening part of gas pipeline or the damaged problem of other gas pipeline departments, can judge that the gas leakage problem appears this moment anyway, and then send the gas to use to reveal based on preset thing allies oneself with information sending device and warn the user, wherein, thing allies oneself with information sending device is for presetting the device that is used for carrying out information communication, in this embodiment, thing allies oneself with information sending device is SIM800/900 module.

Further, based on thing allies oneself with information sending device will the gas is used to reveal warning and sends to user's mobile terminal, and then realizes the gas is used to reveal warning immediate transmission and the warning of gas leakage data.

Further, when the abnormal consumption amount is judged to be greater than or equal to the preset reasonable consumption amount, the leakage of the gas does not cause practical damage to the user, namely excessive gas is not leaked, and the leaked gas does not hurt the human body, and the gas is used for warning and sent to a user, so that early warning can be performed under the condition of no harm, compared with the traditional gas leakage early warning mode in the prior art that the gas leakage is detected to reach the state of harming the personal safety and then warning, the invention realizes timely early warning of gas leakage on the basis of the Internet of things technology, avoids the safety problem caused by inaccurate control of the early warning time of gas leakage, greatly improves the safety performance, greatly improves the accuracy of data acquisition of the gas alarm, and improves the reliability of gas abnormity early warning after safety data acquisition.

In one embodiment, in step S4, when it is determined that the abnormal consumption amount is smaller than the preset reasonable consumption amount, the method further includes:

specifically, the standard time interval is preset, in order to realize the fine processing of data, the data acquisition time periods are further divided according to the standard time interval and form split time periods respectively, and after the split time periods are split, the data are split and refined and managed, so that the efficient management of the fuel gas safety data is improved.

Further, in this embodiment, as shown in fig. 2, after the standard time interval is preset, the data acquisition time period is divided into four split time periods according to the standard time interval, which are respectively T1, T2, T3 and T4.

specifically, the abnormal consumption number in the splitting time period is respectively counted, and the abnormal consumption number in each splitting time period is obtained after the counting is completed. Further, one of the splitting exception quantities corresponds to one of the splitting time periods. In the present embodiment, the numbers of the splitting abnormalities of the four splitting periods T1, T2, T3, and T4 are represented by E1, E2, E3, and E4, respectively, and the specific numerical values are 2, 3, 5, and 9, respectively.

specifically, the abnormal consumption increase rates of the adjacent split time periods are generated, that is, the abnormal consumption increase rates between T1 and T2, T2 and T3, and T3 and T4 are generated respectively. Specifically, the calculation is performed according to the following formula:

M=（M2-M1）/M1*100%；

where M is the abnormal consumption growth rate, the number of split exceptions in the second stage of M2, and the number of split exceptions in the first stage of M1. The first stage is a splitting time period of a previous segment in adjacent splitting time periods, and the second stage is a splitting time period of a later segment in the adjacent splitting time periods.

Further, in calculating the abnormal consumption increase rate between T1 and T2, M = (E2-E2)/E1 × 100%, and therefore, the abnormal consumption increase rates between T1 and T2, T2 and T3, and T3 and T4 are generated to be 50%, 66.6%, and 80%, respectively.

in this embodiment, the total growth trend value is obtained by multiplying the growth rates of the N intervals by the power of N. That is, in this embodiment, the total growth trend value is calculated as 64% by multiplying 50%, 66.6% and 80% together and then multiplying by the power of 3.

specifically, the normal fluctuation value is preset, the normal fluctuation value is set by a person skilled in the art according to different gas appliances to be monitored, and the normal fluctuation value is an error increase trend of gas consumption caused by the increase of the service time of the gas appliances to be monitored and the increase of the service time of the monitoring appliances. It should be understood that, as the gas appliance to be monitored is used, the abnormal consumption increase thereof is necessarily continued upward due to the existence of the hardware loss, but the abnormal consumption increase due to the normal hardware appliance loss has a limit, which is the normal fluctuation value, and in the present embodiment, the normal fluctuation value is set to 10% -20% as described above.

When the total increase trend value is larger than a preset normal fluctuation value, the problem of abnormal consumption increase caused by hardware equipment loss is shown, namely, the problem is that other large gas leakage places occur.

Further, when the total increase trend value is judged to be larger than the preset normal fluctuation value, the gas leakage condition of the gas equipment to be monitored in the using process is indicated, early warning is needed, namely, a gas abnormity early warning prompt is generated, and the gas abnormity early warning prompt is sent to a user based on the preset internet of things information sending device. The generation that gas abnormity early warning was reminded predicts and generates for the abnormal situation based on the gas consumption data of a plurality of stages monitored, and then has realized carrying out the early warning in advance under the condition that the gas leakage does not appear, has realized carrying out the gas early warning when too much gas leakage does not appear, gas abnormity early warning is reminded generally for equipment timing inspection is reminded, and then makes things convenient for the staff to carry out the timing maintenance to gas equipment to avoid the gas leakage that gas equipment goes wrong and leads to, greatly promote the security performance in the use.

In one embodiment, the area to be monitored comprises a gas use area and a personnel activity area, the image acquisition device comprises a gas image acquisition device and a personnel image acquisition device, the gas image acquisition device is used for acquiring images of objects in the gas use area, and the personnel image acquisition device is used for acquiring images of active personnel in the personnel activity area; the gas image acquisition device and the personnel image acquisition device are divided to realize that the image acquisition device is utilized to acquire images of the gas use area and the personnel activity area respectively, so that the regional monitoring is realized, the monitoring accuracy is improved, and the accuracy and the high accuracy of subsequent gas early warning according to gas safety data are realized on the premise of acquiring the accuracy of image data.

further, the gas image acquisition device is preset and is opposite to the gas use area, and the gas use area is like a cooking bench area. The real-time image acquisition realizes accurate acquisition of data.

further, taking a gas use area as a hearth area as an example, an image of the hearth area when gas equipment uses gas and flame is generated is calibrated as an ignition state image in advance, so that after the flame condition image is obtained, the flame condition image and the ignition state image are subjected to image similarity comparison, when the flame condition image and the ignition state image are matched, the ignition state is indicated, otherwise, the non-ignition state is indicated.

Furthermore, the real-time acquisition and real-time judgment of data are realized through the real-time acquisition of images, the images of the flame are acquired without adding external light supplementing equipment, the light of the flame can be fully utilized to shoot, the images of the flame can be recognized conveniently and accurately no matter the illumination is sufficient or insufficient, and the accuracy and the efficiency of judging whether the images are in an ignition state are improved.

further, when the gas equipment is judged to be in a non-ignition state, it is understood that no ignition state exists at this time, and therefore the gas equipment to be monitored is judged to be in an unmanned use state.

further, in order to judge whether a person uses the system, image acquisition is carried out on the moving personnel in the personnel moving area in real time based on a preset personnel image acquisition device, and the moving images of the current personnel are acquired.

Furthermore, by setting the first activity time, the gas appliance to be monitored is prevented from being actually used, but a person merely passes through the personnel activity area. And if the personnel activity area is judged to have personnel activity and exceed the preset first activity time, judging that the gas equipment to be monitored is in a supervision use state, otherwise, judging that the gas equipment to be monitored is in a non-supervision use state. Furthermore, by judging the supervised use state and the unsupervised use state, the careful division of whether a person uses the gas equipment to be monitored is realized.

In one embodiment, in step S25, if there is no personnel activity in the personnel activity area, or there is personnel activity but the preset first activity time is not exceeded, after determining that the gas appliance to be monitored is in the non-monitoring use state, the method further includes:

furthermore, in order to prevent the situation that the gas equipment is abnormally used, which causes the overflow of food in the gas equipment and extinguishes the gas, so that the gas is not on fire but continuously leaks, the practical state of the gas equipment to be monitored needs to be monitored, namely, the practical state image of the current gas utilization device is obtained first, then, the practical state image is led into a preset gas utilization abnormal state image database, and the gas utilization abnormal state image database is subjected to traversal query to generate a traversal query result. The abnormal gas consumption image is an image when food overflows, and a plurality of abnormal gas consumption images are preset to realize subsequent accurate comparison.

Further, when the traversal query result is a target matching result, it should be understood that the gas appliance to be monitored is abnormal in use, so that an abnormal gas appliance reminder needs to be generated, and the abnormal gas appliance reminder is sent to the user based on the internet of things information sending device. The gas-using device abnormality reminding can be, but is not limited to, a carrier such as a short message, a WeChat or a telephone to inform the user.

In one embodiment, step S23: when judging that gas equipment is non-ignition state, then judge treat monitoring gas equipment is unmanned use state, later still include:

Further, in order to detect the fuel gas in an unmanned state, the concentration of the ambient fuel gas in the area to be monitored is obtained in real time; then, judging whether the concentration of the environmental gas exceeds a preset qualified environmental concentration; then, when the concentration of the environmental fuel gas is judged to exceed the qualified environmental concentration, judging that gas leakage occurs when no one is present; when judging environment gas concentration does not exceed qualified environment concentration, then judge that nobody has not appeared coal gas leakage, wherein, environment gas concentration is through setting up gas monitoring facilities in advance, if adopt mainly to add precious metal such as platinum or palladium on n type oxide semiconductor such as SnO2 and the semiconductor gas sensor who constitutes to carry out the acquireing of environment gas concentration, qualified environment concentration is for setting up the harmless concentration to the human body in advance, when judging environment gas concentration does not exceed qualified environment concentration, then judge that nobody has not appeared coal gas leakage, and then make things convenient for follow-up personnel to carry out the processing of gas leakage.

In one embodiment, in step S233, when it is determined that gas leakage occurs when no one is present, the method further includes the steps of:

further, when gas leakage occurs when no person is judged, in order to ensure personal safety, dredge an area where gas leakage occurs and prevent further diffusion of gas, a gas area blocking instruction is generated and sent to a door leaf driving device preset in the area to be monitored, the door leaf driving device is in driving connection with an automatic door leaf in the area to be monitored, the gas area blocking instruction is used for controlling the door leaf driving device to drive the automatic door leaf to close, and after the automatic door leaf is closed, diffusion of gas in the area to be monitored to other areas is blocked, wherein the door leaf driving device is in driving connection with the automatic door leaf by adopting a motor, and when the area to be monitored is a kitchen, the leaked gas is locked in the kitchen through the steps, further diffusion of the combustion gases is avoided.

furthermore, in order to prevent safety accidents due to gas ground diffusion, a ventilation equipment opening instruction is generated and sent to a ventilation driving device which is preset in the area to be monitored, the ventilation driving device is in driving connection with the ventilation equipment in the area to be monitored, and the ventilation equipment opening instruction is used for controlling the ventilation driving device to open the ventilation equipment. Furthermore, the ventilation driving device can also adopt equipment such as a motor to be connected with ventilation equipment such as doors and windows or exhaust fans in a driving mode in advance, so that the doors and the windows can be opened automatically and the ventilation equipment can be opened automatically to ventilate, leaked coal gas can be discharged, safety accidents are greatly avoided, coal gas leakage can be prevented from occurring immediately, and then the condition that follow-up personnel inhale the noise of the personnel caused by entering a gas leakage area can be avoided.

Further, in order to prevent the leaked gas from being generated when encountering the condition that the open fire is detonated, when the gas area blocking instruction is generated, the open fire equipment closing instruction is generated at the same time, and is sent to the open fire equipment in the area to be monitored, wherein the open fire equipment closing instruction is used for controlling the open fire equipment to be closed, so that the open fire equipment such as a lighting device of a cooking bench is closed, the open fire is choked in a generation stage, and the gas leakage problem caused by the ignition of the open fire is avoided.

Furthermore, by generating a gas area blocking instruction, a ventilation equipment opening instruction and an open fire equipment closing instruction, the problem of potential safety hazard of leaked gas to personnel is solved after leakage occurs.

In one embodiment, step S53: when generating the gas zone blockade instruction, generate naked light equipment simultaneously and close the instruction, and with naked light equipment closes the instruction and sends to the naked light equipment in waiting to monitor the region, the naked light equipment closes the instruction and is used for controlling the naked light equipment is closed, still includes simultaneously:

Further, in order to further process the gas leakage, the gas leakage reminder is sent to a user based on a preset internet of things information sending device, the user at least comprises an owner of the gas equipment to be monitored and a maintenance worker of the gas equipment to be monitored, and the gas pause supply instruction is sent to the start-stop driving device of the gas pipeline, and the gas pause supply instruction is used for controlling the start-stop driving device to close the gas pipeline.

In one embodiment, step S53: when generating the gas area blockade instruction, generate naked light equipment closing instruction simultaneously, and with naked light equipment closing instruction sends the naked light equipment in waiting to monitor the area, the naked light equipment closing instruction is used for controlling the naked light equipment is closed, later still includes:

Further, in order to ensure normal use of relevant gas by a subsequent user, after danger caused by gas is eliminated, recovery use of equipment is required, that is, the concentration of air and gas in the region to be monitored is obtained in real time, and whether the concentration of air and gas is reduced to a preset safe gas concentration range is judged; and then, when the concentration of the air and the fuel gas is judged to be reduced to be within the safe fuel gas concentration range, generating an equipment recovery instruction, and sending the equipment recovery instruction to the door leaf driving device, the ventilation driving device and the open fire equipment, wherein the equipment recovery instruction is used for controlling the door leaf driving device to drive the automatic door leaf to open, controlling the ventilation driving device to close the ventilation equipment and controlling the open fire equipment to recover to open.

In one embodiment, as shown in fig. 3, a gas alarm security data acquisition terminal based on the internet of things comprises:

In one embodiment, the data determining module is further configured to: dividing the data acquisition time periods according to preset standard time intervals and respectively forming split time periods; respectively acquiring the abnormal consumption quantity in each splitting time period, and respectively recording the abnormal consumption quantity as the splitting abnormal quantity; generating abnormal consumption growth rate of adjacent splitting time periods according to the splitting abnormal quantity; generating a total growth trend value according to each abnormal consumption growth rate; judging whether the total growth trend value is larger than a preset normal fluctuation value or not; and if the total growth trend value is judged to be larger than the preset normal fluctuation value, generating a gas abnormity early warning prompt, and sending the gas abnormity early warning prompt to a user based on a preset internet of things information sending device.

In one embodiment, the image acquisition module is further configured to: carrying out real-time image acquisition on objects in the gas using area based on a preset gas image acquisition device, and acquiring a flame condition image; judging whether the gas equipment is in an ignition state or not according to the flame condition image; when the gas equipment is judged to be in a non-ignition state, judging that the gas equipment to be monitored is in an unmanned use state; when the gas equipment is judged to be in an ignition state, image acquisition is carried out on active personnel in the personnel activity area in real time based on a preset personnel image acquisition device, and a current personnel moving image is obtained; judging whether the personnel activity area is occupied by personnel and exceeds a preset first activity time according to the personnel activity images, if so, judging that the gas equipment to be monitored is in a supervision use state, otherwise, judging that the gas equipment to be monitored is in a non-supervision use state;

acquiring real-time images of objects in the gas using area based on the gas image acquisition device, and acquiring actual state images of current gas using devices; importing the actual state image into a preset gas consumption abnormal state image database, performing traversal query in the gas consumption abnormal state image database, and generating a traversal query result, wherein the gas consumption abnormal state image database is preset and stores a plurality of gas consumption abnormal images, and the traversal query result comprises a target matching result or a target mismatching result; when the traversal query result is a target matching result, generating an abnormal reminding of the gas-using device, and sending the abnormal reminding of the gas-using device to a user based on the internet of things information sending device; acquiring the ambient gas concentration of the area to be monitored in real time; judging whether the concentration of the environmental gas exceeds a preset qualified environmental concentration; when the concentration of the environmental gas is judged to exceed the qualified environmental concentration, judging that gas leakage occurs when no one is present; when the concentration of the environmental gas is judged not to exceed the qualified environmental concentration, judging that no gas leakage occurs when no person exists; the gas alarm safety data acquisition terminal based on the Internet of things further comprises a data processing module, and the data processing module is used for: generating a gas area blocking instruction, and sending the gas area blocking instruction to a door leaf driving device preset in the area to be monitored, wherein the door leaf driving device is in driving connection with an automatic door leaf in the area to be monitored, the gas area blocking instruction is used for controlling the door leaf driving device to drive the automatic door leaf to close, and after the automatic door leaf is closed, gas in the area to be monitored is blocked from being diffused to other areas; after the automatic door leaf is closed, generating a ventilation equipment opening instruction, and sending the ventilation equipment opening instruction to a ventilation driving device preset in the area to be monitored, wherein the ventilation driving device is in driving connection with ventilation equipment in the area to be monitored, and the ventilation equipment opening instruction is used for controlling the ventilation driving device to open the ventilation equipment; when the gas area blocking instruction is generated, simultaneously generating an open fire equipment closing instruction, and sending the open fire equipment closing instruction to open fire equipment in the area to be monitored, wherein the open fire equipment closing instruction is used for controlling the open fire equipment to be closed; generating a gas leakage reminder, and sending the gas leakage reminder to a user based on a preset internet of things information sending device, wherein the user at least comprises an owner of the gas equipment to be monitored and maintenance personnel of the gas equipment to be monitored; generating a gas pause supply instruction, and sending the gas pause supply instruction to a start-stop driving device of the gas pipeline, wherein the gas pause supply instruction is used for controlling the start-stop driving device to close the gas pipeline;

acquiring the air gas concentration of the area to be monitored in real time, and judging whether the air gas concentration is reduced to a preset safe gas concentration range; and when the concentration of the air and the fuel gas is judged to be reduced to the range of the concentration of the safe fuel gas, generating an equipment recovery instruction, and sending the equipment recovery instruction to the door leaf driving device, the ventilation driving device and the open fire equipment, wherein the equipment recovery instruction is used for controlling the door leaf driving device to drive the automatic door leaf to be opened, controlling the ventilation driving device to close the ventilation equipment and controlling the open fire equipment to be recovered to be opened.

In one embodiment, a gas alarm safety data acquisition terminal based on the internet of things is provided, which includes:

a memory for storing a program;

Further, as shown in fig. 4, the gas alarm safety data acquisition terminal based on the internet of things may be a terminal device, and includes a memory and a processor, where the memory stores a computer program, and the processor executes the computer program to implement the steps of the gas alarm safety data acquisition method based on the internet of things.

A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the above-mentioned internet-of-things-based gas alarm safety data collection method.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims

1. A safety data acquisition method for a gas alarm based on the Internet of things is characterized by comprising the following steps:

step S4: judging whether the theoretical consumption maximum value in the gas consumption theoretical range data is exceeded in each current gas actual consumption value, recording the number of the current gas actual consumption values exceeding the theoretical consumption maximum value as an abnormal consumption number, judging whether the abnormal consumption number is larger than or equal to a preset reasonable consumption number, and sending a gas use leakage warning to a user based on a preset internet of things information sending device when the abnormal consumption number is judged to be larger than or equal to the preset reasonable consumption number;

in step S4, when it is determined that the abnormal consumption amount is smaller than the preset reasonable consumption amount, the method further includes:

2. The Internet of things-based gas alarm safety data acquisition method as claimed in claim 1, wherein the area to be monitored comprises a gas use area and a personnel activity area, the image acquisition device comprises a gas image acquisition device and a personnel image acquisition device, the gas image acquisition device is used for acquiring images of objects in the gas use area, and the personnel image acquisition device is used for acquiring images of active personnel in the personnel activity area;

3. The internet of things-based gas alarm safety data acquisition method according to claim 2, wherein in step S25, if the personnel activity area has no personnel activity, or the personnel activity does not exceed a preset first activity time, after determining that the gas equipment to be monitored is in an unsupervised use state, the method further comprises:

4. The Internet of things-based gas alarm safety data acquisition method according to claim 3, characterized in that the step S23: when judging that gas equipment is non-ignition state, then judge treat monitoring gas equipment is unmanned use state, later still include:

5. The Internet of things-based gas alarm safety data acquisition method according to claim 4, wherein in step S233, when it is judged that gas leakage occurs when no one is present, the method further comprises the following steps:

6. The Internet of things-based gas alarm safety data acquisition method according to claim 5, characterized in that the step S53: when generating the gas zone blockade instruction, generate naked light equipment simultaneously and close the instruction, and with naked light equipment closes the instruction and sends to the naked light equipment in waiting to monitor the region, the naked light equipment closes the instruction and is used for controlling the naked light equipment is closed, still includes simultaneously:

7. The Internet of things-based gas alarm safety data acquisition method according to claim 6, characterized in that the step S53: when generating the gas area blockade instruction, generate naked light equipment closing instruction simultaneously, and with naked light equipment closing instruction sends the naked light equipment in waiting to monitor the area, the naked light equipment closing instruction is used for controlling the naked light equipment is closed, later still includes:

8. The utility model provides a gas alarm safety data acquisition terminal based on thing networking which characterized in that, the terminal includes:

the data judgment module is used for judging whether the theoretical consumption maximum value in the gas consumption theoretical range data is exceeded in each current gas actual consumption value, recording the number of the current gas actual consumption values exceeding the theoretical consumption maximum value as an abnormal consumption number, judging whether the abnormal consumption number is larger than or equal to a preset reasonable consumption number, and sending a gas use leakage warning to a user based on a preset internet of things information sending device when the abnormal consumption number is judged to be larger than or equal to the preset reasonable consumption number;

wherein the data judgment module is further configured to: dividing the data acquisition time periods according to preset standard time intervals and respectively forming split time periods; respectively acquiring the abnormal consumption quantity in each splitting time period, and respectively recording the abnormal consumption quantity as the splitting abnormal quantity; generating abnormal consumption growth rate of adjacent splitting time periods according to the splitting abnormal quantity; generating a total growth trend value according to each abnormal consumption growth rate; judging whether the total growth trend value is larger than a preset normal fluctuation value or not; and if the total growth trend value is judged to be larger than the preset normal fluctuation value, generating a gas abnormity early warning prompt, and sending the gas abnormity early warning prompt to a user based on a preset internet of things information sending device.

9. The utility model provides a gas alarm safety data acquisition terminal based on thing networking which characterized in that: the method comprises the following steps:

a memory for storing a program;

a processor for loading the program to execute the method for acquiring the safety data of the gas alarm based on the internet of things as claimed in any one of claims 1 to 7.