CN113090954A - Internet of things big data gas leakage monitoring and protecting system - Google Patents
Internet of things big data gas leakage monitoring and protecting system Download PDFInfo
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- CN113090954A CN113090954A CN202110267392.8A CN202110267392A CN113090954A CN 113090954 A CN113090954 A CN 113090954A CN 202110267392 A CN202110267392 A CN 202110267392A CN 113090954 A CN113090954 A CN 113090954A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
- F17D5/005—Protection or supervision of installations of gas pipelines, e.g. alarm
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
- F17D5/02—Preventing, monitoring, or locating loss
- F17D5/06—Preventing, monitoring, or locating loss using electric or acoustic means
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Abstract
The invention discloses an Internet of things big data gas leakage monitoring and protecting system which comprises an intelligent Internet of things flowmeter, wherein a data receiving part is mainly used for receiving data sent to a network background by the intelligent Internet of things flowmeter through an NB-IOT or 4G Internet of things module, analyzing the data and sending the data to a data storage database; the data storage database is mainly divided into data storage of user equipment and data storage of a background management system; the data background management system mainly monitors the gas flow of a user, and simultaneously stores an online recharging and online charging system, wherein the online recharging and online charging system comprises a mobile terminal access and a web terminal access of the user and integrates a data large-screen display system. The problem of pipeline joint leak can not be seeked is solved, and gas leakage monitoring has the judgement precision that will be more high-efficient, more stable, has higher reliability.
Description
Technical Field
The invention relates to the field of gas leakage detection, in particular to an Internet of things big data gas leakage monitoring and protecting system.
Background
Along with the more and more perfect urban construction, natural gas is put through in most residents' homes at present, and a natural gas stove is installed, so that great convenience is brought to the lives of the residents. However, if the natural gas is improperly used, the natural gas may become a timing bomb around the user, and the safety of the life and property of the user is endangered. In recent years, the situation of fire explosion caused by household gas pipeline leakage is common, and safety accidents such as gas leakage, deflagration and the like occur frequently, so that a safe alarm clock is sounded. At present, for household gas, along with the enhancement of safety consciousness of people, gas safety increasingly becomes an important link in families, most of gas alarms are used for providing indoor gas leakage monitoring in the market at present, but outdoor gas conveying pipelines often cause pipeline or pipeline joint leakage due to the reasons of aging of pipeline joints, rusting of internal pipelines, influence of external force and the like, and the leakage cannot be well detected at present.
Disclosure of Invention
In order to solve the problems, the invention adopts the following technical scheme:
the utility model provides a big data gas leakage monitoring protection system of thing networking, includes intelligent thing networking flowmeter, with big data cloud platform of intelligent thing networking flowmeter communication connection.
The big data cloud platform comprises a data receiving part, a data storage database, a data background management system, a data calculation and data analysis system and a big data algorithm center; the data receiving part is mainly used for receiving data sent to a network background by the intelligent Internet of things flowmeter through the NB-IOT or 4G Internet of things module, analyzing the data and sending the data to the data storage database; the data storage database is mainly divided into data storage of user equipment and data storage of a background management system; the data background management system mainly monitors the gas flow of a user, and simultaneously stores an online recharging and online charging system, wherein the online recharging and online charging and charging system comprises a mobile terminal access and a web terminal access of the user and integrates a data large-screen display system; the data calculation and data analysis system is mainly used for calculating the gas consumption of a user, calculating the gas use speed of the user, namely the gas consumption per second, calculating the real-time gas consumption speed in real time according to the data uploaded by the intelligent flow meter, and mainly recording the use condition of user gas equipment and the use time and the gas consumption speed of the user gas equipment through data analysis; the big data algorithm center is mainly used for comprehensively calculating data cloud calculation results and data analysis results, the service time of user equipment and the performance of the equipment gas using speed are matched through a big data cloud server algorithm, the maximum user gas using speed and the minimum gas using speed are matched, the user gas using speed suddenly changing flow rate is used for recording, the user gas using performance habits are matched and analyzed through the long-time gas using habits of the user, the normal equipment gas using state is further analyzed, when the gas using state passing through a gas flowmeter is lower than the minimum gas equipment flow rate, the user habits and the gas using state are compared according to the system and are inconsistent, and when large deviation exists in a long time, the fact that gas leaks is judged, the valve is controlled to be closed remotely through a gas meter, and the state is notified to the user through user short messages and micro messages.
Compared with the prior art, the invention has the following advantages: according to the invention, the real-time flow rate is calculated in a big data cloud computing mode, and whether the gas leaks or not is analyzed and monitored in real time according to the habit of a user and the gas consumption of the user, so that the cost of gas leakage inspection can be saved, the efficient gas pipeline leakage monitoring is integrated, the problem that the pipeline joint leaks cannot be searched is solved, and meanwhile, the gas leakage monitoring has more efficient and stable judgment precision and higher reliability. And the method can be provided for a large data center to analyze national gas usage and can be accessed to a high-end gas equipment service life and use fault judgment algorithm to predict the fault of the user equipment and the verification and maintenance period of the user equipment in advance.
Drawings
Fig. 1 is a structural composition of an intelligent internet of things flow meter of the invention.
Fig. 2 is a software background management system and cloud data analysis workflow of the present invention.
Fig. 3 is a flow of cloud data big data feature extraction and gas leakage determination according to the present invention.
Detailed Description
The technical solution of the present invention will be described clearly and completely with reference to the accompanying drawings, and obviously, the described embodiments are some embodiments of the present invention.
Example 1: as shown in fig. 1-3, the gas leakage detection device comprises an intelligent internet of things flowmeter, the intelligent internet of things flowmeter comprises a flowmeter shell, a flowmeter display screen and an indicator light are arranged on the flowmeter shell, a rotation sensor, an absolute value magnetic angle sensor, a temperature sensor, a master control MCU chip, a power supply battery module, an NB-IOT module or a 4G internet of things module and a solenoid valve control part are arranged in the flowmeter shell, and the flowmeter display screen, the indicator light, the rotation sensor, the absolute value magnetic angle sensor, the temperature sensor, the power supply battery module, the NB-IOT module or the 4G internet of things module and the solenoid valve control part are electrically connected or are in communication connection with each other.
And the rotation sensor transmits signals to the main control MCU chip through pulse input. And the absolute value magnetic angle sensor is communicated with the master control MCU chip in an SPI communication mode.
The power supply battery management module is mainly used for carrying out battery charging and discharging management on the battery and providing power supply requirements for all modules of the system. And the NB-IOT or 4G Internet of things module is communicated with the master control MCU chip through a UART interface.
The gas leakage detection system comprises an intelligent Internet of things flowmeter, a big data cloud platform and a big data feature cloud algorithm, wherein the big data cloud platform is in communication connection with the intelligent Internet of things flowmeter, association rules and classification regression analysis are used for comprehensively summarizing user habits and gas using characteristics of user gas equipment, features are extracted by using a neural network algorithm, comprehensive gas using characteristics are obtained through comprehensive analysis, and the cloud platform system monitors and completes gas using characteristics in real time according to the intelligent Internet of things flowmeter and performs leakage monitoring according to the gas using characteristics. The big data cloud platform comprises a data receiving part, a data storage database, a data background management system, a data calculation and data analysis system and a big data algorithm center; the data receiving part is mainly used for receiving data sent to a network background by the intelligent Internet of things flowmeter through the NB-IOT or 4G Internet of things module, analyzing the data and sending the data to the data storage database; the data storage database is mainly divided into data storage of user equipment and data storage of a background management system; the data background management system mainly monitors the gas flow of a user, and simultaneously stores an online recharging and online charging system, wherein the online recharging and online charging and charging system comprises a mobile terminal access and a web terminal access of the user and integrates a data large-screen display system; the data calculation and data analysis system is mainly used for calculating the gas consumption of a user, calculating the gas use speed of the user, namely the gas consumption per second, calculating the real-time gas consumption speed in real time according to the data uploaded by the intelligent flow meter, and mainly recording the use condition of user gas equipment and the use time and the gas consumption speed of the user gas equipment through data analysis; the big data algorithm center mainly carries out comprehensive calculation aiming at data cloud calculation results and data analysis results, matches the service time of user equipment and the performance of equipment gas utilization speed through a big data cloud server algorithm, matches the maximum user gas utilization speed and the minimum gas utilization speed, records the sudden change flow rate of the user gas speed, matches and analyzes the gas utilization performance habit of the user equipment through the long-time gas utilization habit of the user, further analyzes the normal equipment gas utilization state, judges that gas leaks when the gas utilization state passing through a gas flowmeter is lower than the minimum gas equipment flow rate, compares the inconsistency between the user habit and the gas utilization state according to the system and has larger deviation in a longer time, thereby controlling the remote gas meter to close a valve and notifying the state to the user through user short messages, WeChat or other communication modes, the user judges the current problem according to the current state to can solve the problem that the gas leaked, the effectual risk that reduces the gas leakage improves the gas leakage and judges the precision and guarantee user safety with big data cloud computing's mode, can effectually be according to user's custom and whether user's gas equipment performance analysis current gas leaks through this intelligent system.
This embodiment is through an intelligence thing networking gas flowmeter, current flow of real time monitoring and temperature, mode through big data cloud calculation, calculate the real-time velocity of flow, whether there is the condition of taking place to leak gas according to user's custom and user with the gas volume real-time analysis and this gas of control, not only can save the cost that the gas leakage was patrolled and examined, the efficient gas pipeline leakage monitoring of also having integrateed, solve the problem that can not seek of pipe joint leakage, gas leakage monitoring has more high-efficient simultaneously, more stable judgement precision, higher reliability has. And the method can be provided for a large data center to analyze national gas usage and can be accessed to a high-end gas equipment service life and use fault judgment algorithm to predict the fault of the user equipment and the verification and maintenance period of the user equipment in advance.
The present invention is illustrated by way of example and not by way of limitation. It will be apparent to those skilled in the art that other variations and modifications may be made in the foregoing disclosure without departing from the spirit or essential characteristics of all embodiments, and that all changes and modifications apparent from the above teachings are within the scope of the invention.
Claims (2)
1. The utility model provides a big data gas leakage monitoring protection system of thing networking which characterized in that, includes intelligent thing networking flowmeter, with big data cloud platform of intelligent thing networking flowmeter communication connection.
2. The Internet of things big data gas leakage monitoring and protecting system according to claim 1, wherein the big data cloud platform comprises a data receiving part, a data storage database, a data background management system, a data computing and data analyzing system and a big data algorithm center; the data receiving part is mainly used for receiving data sent to a network background by the intelligent Internet of things flowmeter through the NB-IOT or 4G Internet of things module, analyzing the data and sending the data to the data storage database; the data storage database is mainly divided into data storage of user equipment and data storage of a background management system; the data background management system mainly monitors the gas flow of a user, and simultaneously stores an online recharging and online charging system, wherein the online recharging and online charging and charging system comprises a mobile terminal access and a web terminal access of the user and integrates a data large-screen display system; the data calculation and data analysis system is mainly used for calculating the gas consumption of a user, calculating the gas use speed of the user, namely the gas consumption per second, calculating the real-time gas consumption speed in real time according to the data uploaded by the intelligent flow meter, and mainly recording the use condition of user gas equipment and the use time and the gas consumption speed of the user gas equipment through data analysis; the big data algorithm center is mainly used for comprehensively calculating data cloud calculation results and data analysis results, the service time of user equipment and the performance of the equipment gas using speed are matched through a big data cloud server algorithm, the maximum user gas using speed and the minimum gas using speed are matched, the user gas using speed suddenly changing flow rate is used for recording, the user gas using performance habits are matched and analyzed through the long-time gas using habits of the user, the normal equipment gas using state is further analyzed, when the gas using state passing through a gas flowmeter is lower than the minimum gas equipment flow rate, the user habits and the gas using state are compared according to the system and are inconsistent, and when large deviation exists in a long time, the fact that gas leaks is judged, the valve is controlled to be closed remotely through a gas meter, and the state is notified to the user through user short messages and micro messages.
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| CN202110267392.8A CN113090954A (en) | 2021-03-12 | 2021-03-12 | Internet of things big data gas leakage monitoring and protecting system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114662642A (en) * | 2022-05-25 | 2022-06-24 | 天津奥美自动化系统有限公司 | Valve control method and system based on Internet of things |
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Application publication date: 20210709 |
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