CN112729723A - Intelligent gas remote monitoring and management method and system based on Internet of things and artificial intelligence, electronic equipment and computer storage medium - Google Patents
Intelligent gas remote monitoring and management method and system based on Internet of things and artificial intelligence, electronic equipment and computer storage medium Download PDFInfo
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- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M3/00—Investigating fluid-tightness of structures
- G01M3/02—Investigating fluid-tightness of structures by using fluid or vacuum
- G01M3/26—Investigating fluid-tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors
- G01M3/28—Investigating fluid-tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors for pipes, cables or tubes; for pipe joints or seals; for valves ; for welds
- G01M3/2807—Investigating fluid-tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors for pipes, cables or tubes; for pipe joints or seals; for valves ; for welds for pipes
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Abstract
The invention discloses an intelligent gas remote monitoring and management method, a system, electronic equipment and a computer storage medium based on the Internet of things and artificial intelligence, wherein the method comprises the steps of obtaining gas outlet amount of each branch gas pipeline in a family, calculating total gas outlet amount of each branch gas pipeline in the family, analyzing and judging whether gas leakage exists in each branch gas pipeline in the family, obtaining gas inlet amount of each branch gas pipeline if gas leakage exists, carrying out comparison statistics on each branch gas pipeline with gas leakage, detecting gas flow of each section of sub-pipeline in each branch gas pipeline with gas leakage, comparing gas flow of each section of sub-pipeline with adjacent sub-pipeline in each branch gas pipeline with gas leakage, carrying out statistics on position number of each sub-pipeline with problems in each branch gas pipeline, displaying, and informing relevant personnel to carry out corresponding maintenance and processing, thereby guaranteeing the safe operation of the fuel gas and the safety of the life and property of the user.
Description
Technical Field
The invention relates to the technical field of gas monitoring management, in particular to an intelligent gas remote monitoring management method, system, electronic equipment and computer storage medium based on the Internet of things and artificial intelligence.
Background
With the rapid development of the internet of things technology, the traditional gas meter is gradually replaced by an intelligent gas meter, and an intelligent gas system adopting the internet of things technology can provide monitoring management service besides basic gas data recording and gas supply for a family user.
At present, the traditional gas monitoring and management technology can only monitor the abnormal conditions in the gas using process in a general way, and can not specify the pipeline abnormality of a certain gas using device, so that the household user is not easy to pay attention to the abnormality, thereby causing the abnormal condition of the fuel gas to fail to investigate the cause in time, causing the condition that the subsequent abnormal problem of the fuel gas can not be repaired for a long time and can not be used normally, thereby increasing the gas use cost of the household users, meanwhile, the traditional gas monitoring and management technology can not judge the position of gas leakage according to the monitored data, thereby not realizing timely response when the gas leaks, bringing serious threats to the safe operation of the gas and the lives and properties of users, in order to solve the problems, an intelligent gas remote monitoring and management method, an intelligent gas remote monitoring and management system, electronic equipment and a computer storage medium based on the Internet of things and artificial intelligence are designed.
Disclosure of Invention
The invention aims to provide an intelligent gas remote monitoring and management method, a system, electronic equipment and a computer storage medium based on the Internet of things and artificial intelligence, wherein a household main gas pipeline is divided into each section of sub-pipeline in each branch gas pipeline, and the sub-pipelines are numbered in sequence, the gas outlet amount of each branch gas pipeline in a household is obtained at the same time, the total gas outlet amount of each branch gas pipeline in the household is calculated and compared with the gas use amount of the household total gas meter, whether gas leakage exists in the branch gas pipeline in the household is judged, if gas leakage exists, the gas inlet amount of each branch gas pipeline is obtained and compared with the gas outlet amount of the corresponding branch gas pipeline, each branch gas pipeline with gas leakage is counted, and the gas flow of each section of sub-pipeline in each branch gas pipeline with gas leakage is detected, each section of subduct compares with the gas flow of adjacent subduct in each branch road gas pipeline that the gas leaked will appear, and the subduct position number that goes wrong in the statistics each branch road gas pipeline to show, inform relevant personnel to maintain and handle the subduct position that corresponds simultaneously, solved the problem that exists among the background art.
The purpose of the invention can be realized by the following technical scheme:
an intelligent gas remote monitoring and management method based on the Internet of things and artificial intelligence comprises the following steps:
s1, dividing the main gas pipeline in the household into sub-pipelines in each branch gas pipeline, and numbering in sequence;
s2, simultaneously acquiring the gas outlet quantity of each branch gas pipeline in the family, and calculating the total gas outlet quantity of each branch gas pipeline in the family;
s3, comparing the consumption of the gas of the household main gas meter, and judging whether the branch gas pipeline in the household has gas leakage;
s4, if gas leakage exists, obtaining gas inflow of each branch gas pipeline, comparing the gas inflow with gas outflow of the corresponding branch gas pipeline, and counting each branch gas pipeline with gas leakage;
s5, detecting the gas flow of each section of sub-pipeline in each branch gas pipeline with gas leakage, comparing the gas flow of each section of sub-pipeline in each branch gas pipeline with adjacent sub-pipelines with gas leakage, and counting the sub-pipeline position number with problems in each branch gas pipeline;
s6, displaying, and informing related personnel to maintain and process the corresponding sub-pipeline position;
the intelligent gas remote monitoring and management method based on the Internet of things and artificial intelligence uses an intelligent gas remote monitoring and management system based on the Internet of things and artificial intelligence, and comprises a pipeline dividing module, a storage database, a gas output acquisition module, a gas output analysis module, a cloud management center, a gas flow detection module, a gas flow analysis module, an analysis server and a pipeline diagram display module;
the analysis server is respectively connected with the gas output acquisition module, the gas output analysis module, the cloud management center, the gas flow detection module, the gas flow analysis module, the storage database and the pipeline map display module, the gas output acquisition module is connected with the gas output analysis module, the storage database is respectively connected with the pipeline division module and the gas flow detection module, and the gas flow detection module is connected with the gas flow analysis module;
the pipeline dividing module is used for dividing a household main gas pipeline into a plurality of branch gas pipelines according to pipeline installation paths of various gas using equipment, the branch gas pipelines are sequentially numbered according to a set sequence, the number of each branch gas pipeline is 1,2, 1, i, n, the branch gas pipelines are divided into a plurality of sections of sub-pipelines according to an equal-number pipeline dividing mode, the positions of the sub-pipelines in each branch gas pipeline are sequentially numbered according to the sequence, and a position number set P of each section of sub-pipeline in each branch gas pipeline in the household is formediA(pia1,pia2,...,piaj,...,piam)，piajThe position number of the jth sub-pipeline in the ith branch gas pipeline in the family is represented, and the position number set of each sub-pipeline in each branch gas pipeline in the family is sent to a storage database;
the storage database is used for receiving the position number set of each section of sub-pipeline in each branch gas pipeline in the family, which is sent by the pipeline dividing module, and simultaneously storing the gas usage amount uploaded by the family main gas meter;
the gas output acquisition module comprises a plurality of first gas meters and is used for acquiring the gas output of each branch gas pipeline in a family, acquiring the gas output of each branch gas pipeline in the family by reading the data of the first gas meters at the gas outlets of each branch gas pipeline in the family, counting the gas output of each branch gas pipeline in the family, and forming a gas output set L (L) of each branch gas pipeline in the family1,L2,...,Li,...,Ln)，LiThe gas output quantity of the ith branch gas pipeline in the family is expressed, and the gas output quantity set of each branch gas pipeline in the family is respectively sent to a gas output quantity analysis module and an analysis server;
the gas output analysis module is used for receiving the gas output set of each branch gas pipeline in the family sent by the gas output acquisition module, calculating the total gas output of each branch gas pipeline in the family, and sending the calculated total gas output of each branch gas pipeline in the family to the analysis server;
the analysis server is used for receiving the gas output set of each branch gas pipeline in the family sent by the gas output acquisition module, meanwhile, receiving the total gas output quantity of each branch gas pipeline in the family sent by a gas output analysis module, extracting the gas usage quantity uploaded by the total gas meter in the family stored in a storage database, comparing the received total gas output quantity of each branch gas pipeline in the family with the gas usage quantity uploaded by the total gas meter in the family to obtain the total gas output quantity difference value of each branch gas pipeline in the family, if the total gas output quantity difference value of each branch gas pipeline in the family is equal to zero, indicating that no gas leaks from the branch gas pipeline in the family, and if the total gas output quantity difference value of each branch gas pipeline in the family is not equal to zero, indicating that gas leaks from the branch gas pipeline in the family, sending a command that gas leaks from the branch gas pipeline in the family to a cloud management center;
the cloud management center is used for receiving a gas leakage instruction of the branch gas pipelines in the family sent by the analysis server, reading data of a second gas meter at a gas inlet of each branch gas pipeline in the family, acquiring gas intake amount of each branch gas pipeline in the family, counting the gas intake amount of each branch gas pipeline in the family, and forming a gas intake amount set L '(L'1,L′2,...,L′i,...,L′n)，L′iThe gas inlet amount of the ith branch gas pipeline in the family is represented, and the gas inlet amount of each branch gas pipeline in the family is sent to the analysis server in a set manner;
the analysis server is used for receiving the gas intake amount set of each branch gas pipeline in the family sent by the cloud management center and enabling the gas intake amount of each branch gas pipeline in the family and the corresponding branch gas pipe to be matchedComparing the gas output of the gas channels to obtain a difference value set delta L (delta L) between the gas input and the gas output of each branch gas channel in the family1,ΔL2,...,ΔLi,...,ΔLn)，ΔLiThe difference value of the gas inlet quantity and the gas outlet quantity of the ith branch gas pipeline in the family is represented as a comparison difference value of the gas inlet quantity and the gas outlet quantity of the ith branch gas pipeline in the family, if the difference value of the gas inlet quantity and the gas outlet quantity of a certain branch gas pipeline in the family is equal to zero, it is indicated that no gas is leaked from the branch gas pipeline in the family, if the difference value of the gas inlet quantity and the gas outlet quantity of the certain branch gas pipeline in the family is greater than zero, it is indicated that gas leakage occurs from the branch gas pipeline in the family, the serial numbers of all branch gas pipelines with gas leakage in the family are counted, and a serial number set1,p2,...,pf,...,pk),k≤n， pfThe number of the f branch gas pipeline showing that gas leakage occurs in the family is represented, and the number set of all branch gas pipelines showing that gas leakage occurs in the family is sent to a gas flow detection module;
the gas flow detection module is used for receiving the number set of each branch gas pipeline with gas leakage in the family sent by the analysis server, extracting the position number set of each section of sub-pipeline in each branch gas pipeline in the family stored in the storage data, detecting the received gas flow of each section of sub-pipeline in each branch gas pipeline with gas leakage in the family, and sending the detected gas flow of each section of sub-pipeline in each branch gas pipeline with gas leakage in the family to the gas flow analysis module;
the gas flow analysis module is used for receiving the gas flow of each section of sub-pipeline in each branch gas pipeline with gas leakage in the family sent by the gas flow detection module, counting the gas flow of each section of sub-pipeline in each branch gas pipeline with gas leakage in the family, and forming a gas flow set I of each section of sub-pipeline in each branch gas pipeline with gas leakage in the familyfA(Ifa1,Ifa2,...,Ifaj,...,Ifam)，IfajThe method comprises the steps of representing the gas flow of the j section of sub-pipeline in the f branch gas pipeline with gas leakage in a family, and sending the gas flow set of each section of sub-pipeline in each branch gas pipeline with gas leakage in the family to an analysis server;
the analysis server is used for receiving a gas flow set of each section of sub-pipeline in each branch gas pipeline with gas leakage in a family, which is sent by the gas flow analysis module, comparing the received gas flow of each section of sub-pipeline in each branch gas pipeline with adjacent sub-pipelines with gas leakage in the family, when the gas flow of each section of sub-pipeline in a certain branch gas pipeline with gas leakage in the family is different from that of the adjacent sub-pipelines, indicating that the sub-pipeline in the branch gas pipeline has a problem, counting the position number of the sub-pipeline with the problem in each branch gas pipeline with gas leakage in the family, and sending the position number of the sub-pipeline with the problem in each branch gas pipeline with gas leakage in the family to the pipeline map display module;
the pipeline diagram display module is used for receiving the sub-pipeline position numbers which are sent by the analysis server and have problems in the branch gas pipelines with gas leakage in the family, displaying the received sub-pipeline positions which have problems in the branch gas pipelines with gas leakage in the family, and informing related personnel to maintain and process the corresponding sub-pipeline positions.
Furthermore, the plurality of first gas meters are respectively installed at gas outlets of the branch gas pipelines in the family, and the serial numbers of the plurality of first gas meters correspond to the serial numbers of the branch gas pipelines one by one and are used for recording the gas outlet amount of the branch gas pipelines in the family.
Further, the total gas output calculation formula of each branch gas pipeline in the family is
L' is expressed as the total gas outlet quantity of each branch gas pipeline in the family, LiThe gas outlet quantity of the ith branch gas pipeline in the family is shown.
Furthermore, the second gas meters are respectively installed at the gas inlets of the branch gas pipelines in the family, and the serial numbers of the second gas meters correspond to the serial numbers of the branch gas pipelines one by one and are used for recording the gas intake amount of the branch gas pipelines in the family.
Further, the gas flow detection module comprises a plurality of gas flow meters, wherein the plurality of gas flow meters are respectively installed in each section of sub-pipeline in each branch gas pipeline, the plurality of gas flow meters are in one-to-one correspondence with each section of sub-pipeline in each branch gas pipeline, and the gas flow meters are used for detecting the gas flow of each section of sub-pipeline in each branch gas pipeline in a family.
An electronic device, comprising: the system comprises a processor, a memory and a network interface, wherein the memory and the network interface are connected with the processor; the network interface is connected with a nonvolatile memory in the server; the processor retrieves the computer program from the non-volatile memory through the network interface when running, and runs the computer program through the memory to execute the method of the present invention.
The readable storage medium is applied to a computer, and is burnt with a computer program, and when the computer program runs in a memory of a server, the method is realized.
Has the advantages that:
(1) the intelligent gas remote monitoring and management method, the system, the electronic equipment and the computer storage medium based on the Internet of things and artificial intelligence provided by the invention divide a household main gas pipeline into each section of sub-pipeline in each branch gas pipeline, simultaneously acquire the gas outlet amount of each branch gas pipeline in a household, calculate the total gas outlet amount of each branch gas pipeline in the household, compare and judge whether the branch gas pipeline in the household has gas leakage, if the gas leakage exists, acquire the gas inlet amount of each branch gas pipeline, compare with the gas outlet amount of the corresponding branch gas pipeline, count each branch gas pipeline with gas leakage, thereby accurately judging the abnormity of each branch gas pipeline in the household, ensuring that a household user can pay attention to the abnormity in time, further ensuring that the abnormal condition of the gas can search the reason in time, avoid causing follow-up gas unusual problem to obtain the unable normal use's of restoration for a long time the condition, and reduced family user's gas use cost, detect the gas flow of each section sub-pipeline in each branch road gas pipeline that the gas was revealed simultaneously, each section sub-pipeline contrasts with the gas flow of adjacent sub-pipeline in each branch road gas pipeline that the gas was revealed will appear, the sub-pipeline position number of going wrong in the statistics each branch road gas pipeline, the pipeline maintenance and the processing for the relevant personnel in later stage provide the guiding reference foundation.
(2) According to the invention, the position of the sub-pipeline with the problem in each branch gas pipeline with gas leakage in a family is displayed through the pipeline diagram display module, so that the position of the sub-pipeline with the problem is visually displayed, related personnel are informed to maintain and process the corresponding sub-pipeline position, and further, the timely response is realized during the gas leakage, and the safe operation of the gas and the life and property safety of users are ensured.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of the method steps of the present invention;
fig. 2 is a schematic view of a module connection structure according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the intelligent gas remote monitoring and management method based on the internet of things and artificial intelligence comprises the following steps:
s1, dividing the main gas pipeline in the household into sub-pipelines in each branch gas pipeline, and numbering in sequence;
s2, simultaneously acquiring the gas outlet quantity of each branch gas pipeline in the family, and calculating the total gas outlet quantity of each branch gas pipeline in the family;
s3, comparing the consumption of the gas of the household main gas meter, and judging whether the branch gas pipeline in the household has gas leakage;
s4, if gas leakage exists, obtaining gas inflow of each branch gas pipeline, comparing the gas inflow with gas outflow of the corresponding branch gas pipeline, and counting each branch gas pipeline with gas leakage;
s5, detecting the gas flow of each section of sub-pipeline in each branch gas pipeline with gas leakage, comparing the gas flow of each section of sub-pipeline in each branch gas pipeline with adjacent sub-pipelines with gas leakage, and counting the sub-pipeline position number with problems in each branch gas pipeline;
and S6, displaying, and informing related personnel to maintain and process the corresponding sub-pipeline position.
The intelligent gas remote monitoring and management method based on the Internet of things and artificial intelligence uses an intelligent gas remote monitoring and management system based on the Internet of things and artificial intelligence, and comprises a pipeline dividing module, a storage database, a gas output acquisition module, a gas output analysis module, a cloud management center, a gas flow detection module, a gas flow analysis module, an analysis server and a pipeline diagram display module.
The analysis server is respectively connected with the gas output acquisition module, the gas output analysis module, the cloud management center, the gas flow detection module, the gas flow analysis module, the storage database and the pipeline map display module, the gas output acquisition module is connected with the gas output analysis module, the storage database is respectively connected with the pipeline division module and the gas flow detection module, and the gas flow detection module is connected with the gas flow analysis module.
The pipeline dividing module is used for dividing a household main gas pipeline into a plurality of branch gas pipelines according to pipeline installation paths of various gas using equipment, the branch gas pipelines are sequentially numbered according to a set sequence, the number of each branch gas pipeline is 1,2, 1, i, n, the branch gas pipelines are divided into a plurality of sections of sub-pipelines according to an equal-number pipeline dividing mode, the positions of the sub-pipelines in each branch gas pipeline are sequentially numbered according to the sequence, and a position number set P of each section of sub-pipeline in each branch gas pipeline in the household is formediA(pia1,pia2,...,piaj,...,piam)，piajThe position number of the jth sub-pipeline in the ith branch gas pipeline in the family is represented, and the position number set of each sub-pipeline in each branch gas pipeline in the family is sent to the storage database.
The storage database is used for receiving the position number sets of each section of sub-pipeline in each branch gas pipeline in the family, which are sent by the pipeline dividing module, and storing the gas usage amount uploaded by the family main gas meter.
The gas output acquisition module comprises a plurality of first gas meters, wherein the first gas meters are respectively arranged at gas outlets of branch gas pipelines in a household, the serial numbers of the first gas meters correspond to the serial numbers of the branch gas pipelines one by one, the gas output acquisition module is used for acquiring the gas output of the branch gas pipelines in the household, the gas output of the branch gas pipelines in the household is acquired by reading the data of the first gas meters at the gas outlets of the branch gas pipelines in the household, the gas output of the branch gas pipelines in the household is counted, and a gas output set L (L) of the branch gas pipelines in the household is formed1,L2,...,Li,...,Ln)，LiThe gas output quantity of the ith branch gas pipeline in the family is represented, and the gas output quantity set of each branch gas pipeline in the family is respectively sent to the gas output quantity analysis module and the analysis server.
The gas output analysis module is used for receiving the gas output set of each branch gas pipeline in the family sent by the gas output acquisition module and calculating the total gas output of each branch gas pipeline in the family, wherein the calculation formula of the total gas output of each branch gas pipeline in the family is
L' is expressed as the total gas outlet quantity of each branch gas pipeline in the family, LiThe gas outlet quantity of the ith branch gas pipeline in the family is expressed, and the calculated total gas outlet quantity of each branch gas pipeline in the family is sent to the analysis server.
The analysis server is used for receiving the gas output set of each branch gas pipeline in the family sent by the gas output acquisition module, and meanwhile, receiving the total gas output quantity of each branch gas pipeline in the family sent by a gas output analysis module, extracting the gas usage quantity uploaded by the total gas meter in the family stored in a storage database, comparing the received total gas output quantity of each branch gas pipeline in the family with the gas usage quantity uploaded by the total gas meter in the family to obtain the total gas output quantity difference value of each branch gas pipeline in the family, if the total gas output quantity difference value of each branch gas pipeline in the family is equal to zero, indicating that no gas leaks from the branch gas pipeline in the family, and if the total gas output quantity difference value of each branch gas pipeline in the family is not equal to zero, indicating that gas leaks from the branch gas pipeline in the family, sending a command that gas leaks from the branch gas pipeline in the family to a cloud management center.
The cloud management center is used for receiving a gas leakage instruction of the branch gas pipelines in the family sent by the analysis server, reading data of a second gas meter at a gas inlet of each branch gas pipeline in the family, acquiring gas intake amount of each branch gas pipeline in the family, counting the gas intake amount of each branch gas pipeline in the family, and forming a gas intake amount set L '(L'1,L′2,...,L′i,...,L′n)，L′iExpressed as in the homeAnd the gas intake amount of the ith branch gas pipeline is set and sent to the analysis server by the gas intake amount of each branch gas pipeline in the family.
The second gas meters are respectively arranged at the gas inlets of the branch gas pipelines in the family, and the serial numbers of the second gas meters correspond to the serial numbers of the branch gas pipelines one by one and are used for recording the gas inflow of the branch gas pipelines in the family.
The analysis server is used for receiving a gas intake quantity set of each branch gas pipeline in the family sent by the cloud management center, comparing the gas intake quantity of each branch gas pipeline in the family with the gas outlet quantity of the corresponding branch gas pipeline, and obtaining a comparison difference value set delta L (delta L) of the gas intake quantity and the gas outlet quantity of each branch gas pipeline in the family1,ΔL2,...,ΔLi,...,ΔLn)，ΔLiThe difference value of the gas inlet quantity and the gas outlet quantity of the ith branch gas pipeline in the family is represented as a comparison difference value of the gas inlet quantity and the gas outlet quantity of the ith branch gas pipeline in the family, if the difference value of the gas inlet quantity and the gas outlet quantity of a certain branch gas pipeline in the family is equal to zero, it is indicated that no gas is leaked from the branch gas pipeline in the family, if the difference value of the gas inlet quantity and the gas outlet quantity of the certain branch gas pipeline in the family is greater than zero, it is indicated that gas leakage occurs from the branch gas pipeline in the family, the serial numbers of all branch gas pipelines with gas leakage in the family are counted, and a serial number set1,p2,...,pf,...,pk),k≤n， pfThe number of the f-th branch gas pipeline is indicated as the number of the gas leakage in the family, the number of each branch gas pipeline is set and sent to the gas flow detection module, so that the abnormity of each branch gas pipeline in the family is accurately judged, the abnormity that the family user can pay attention to the abnormity can be ensured, the reason can be timely investigated under the condition that the abnormal gas condition is ensured, the condition that the abnormal follow-up gas problem cannot be repaired for a long time and the normal use can be avoided, and the gas use cost of the family user is reduced.
The gas flow detection module comprises a plurality of gas flow meters, wherein the plurality of gas flow meters are respectively installed in each section of sub-pipeline in each branch gas pipeline, each section of sub-pipeline one-to-one corresponds in the plurality of gas flow meters and each branch gas pipeline, each branch gas pipeline number set for receiving gas leakage in families sent by the analysis server is used, the position number set of each section of sub-pipeline in each branch gas pipeline in families stored in storage data is extracted, the gas flow of each section of sub-pipeline in each branch gas pipeline for receiving gas leakage in families is detected through the gas flow meters, and the gas flow of each section of sub-pipeline in each branch gas pipeline for detecting gas leakage in families is sent to the gas flow analysis module.
The gas flow analysis module is used for receiving the gas flow of each section of sub-pipeline in each branch gas pipeline with gas leakage in the family sent by the gas flow detection module, counting the gas flow of each section of sub-pipeline in each branch gas pipeline with gas leakage in the family, and forming a gas flow set I of each section of sub-pipeline in each branch gas pipeline with gas leakage in the familyfA(Ifa1,Ifa2,...,Ifaj,...,Ifam)，IfajAnd the gas flow of the j section of sub-pipeline in the f branch gas pipeline with gas leakage in the family is represented, and the gas flow set of each section of sub-pipeline in each branch gas pipeline with gas leakage in the family is sent to the analysis server.
The analysis server is used for receiving the gas flow set of each section of sub-pipeline in each branch gas pipeline with gas leakage in the family sent by the gas flow analysis module, comparing the received gas flow set of each section of sub-pipeline in each branch gas pipeline with adjacent sub-pipelines with gas leakage in the family, when the gas flow of each section of sub-pipeline in a certain branch gas pipeline with gas leakage in the family is different from that of the adjacent sub-pipeline, the problem of the sub-pipeline in the branch gas pipeline is shown, the position number of the sub-pipeline with the problem in each branch gas pipeline with gas leakage in the family is counted, the position number of the sub-pipeline with the problem in each branch gas pipeline with gas leakage in the family is sent to the pipeline map display module, and guiding reference basis is provided for pipeline maintenance and processing of later-stage related personnel.
Pipeline picture display module is arranged in receiving the sub-pipeline position serial number that goes wrong in each branch road gas pipeline that appears gas leakage in the family that analysis server sent, the sub-pipeline position that goes wrong in each branch road gas pipeline that appears gas leakage in the family that will receive shows to show the sub-pipeline position that goes wrong directly perceivedly, and inform relevant personnel to maintain and handle the sub-pipeline position that corresponds, and then realize in time making a response when gas leaks, gas safe operation and user's life and property safety have been ensured.
An electronic device, comprising: the system comprises a processor, a memory and a network interface, wherein the memory and the network interface are connected with the processor; the network interface is connected with a nonvolatile memory in the server; the processor retrieves the computer program from the non-volatile memory through the network interface when running, and runs the computer program through the memory to execute the method of the present invention.
The readable storage medium is applied to a computer, and is burnt with a computer program, and when the computer program runs in a memory of a server, the method is realized.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (7)
1. An intelligent gas remote monitoring and management method based on the Internet of things and artificial intelligence is characterized by comprising the following steps: the method comprises the following steps:
s1, dividing the main gas pipeline in the household into sub-pipelines in each branch gas pipeline, and numbering in sequence;
s2, simultaneously acquiring the gas outlet quantity of each branch gas pipeline in the family, and calculating the total gas outlet quantity of each branch gas pipeline in the family;
s3, comparing the consumption of the gas of the household main gas meter, and judging whether the branch gas pipeline in the household has gas leakage;
s4, if gas leakage exists, obtaining gas inflow of each branch gas pipeline, comparing the gas inflow with gas outflow of the corresponding branch gas pipeline, and counting each branch gas pipeline with gas leakage;
s5, detecting the gas flow of each section of sub-pipeline in each branch gas pipeline with gas leakage, comparing the gas flow of each section of sub-pipeline in each branch gas pipeline with adjacent sub-pipelines with gas leakage, and counting the sub-pipeline position number with problems in each branch gas pipeline;
s6, displaying, and informing related personnel to maintain and process the corresponding sub-pipeline position;
the intelligent gas remote monitoring and management method based on the Internet of things and artificial intelligence uses an intelligent gas remote monitoring and management system based on the Internet of things and artificial intelligence, and comprises a pipeline dividing module, a storage database, a gas output acquisition module, a gas output analysis module, a cloud management center, a gas flow detection module, a gas flow analysis module, an analysis server and a pipeline diagram display module;
the analysis server is respectively connected with the gas output acquisition module, the gas output analysis module, the cloud management center, the gas flow detection module, the gas flow analysis module, the storage database and the pipeline map display module, the gas output acquisition module is connected with the gas output analysis module, the storage database is respectively connected with the pipeline division module and the gas flow detection module, and the gas flow detection module is connected with the gas flow analysis module;
the pipeline dividing module is used for dividing the household main gas pipeline into a plurality of branch gas pipelines according to the pipeline installation path of each gas using device, the branch gas pipelines are numbered in sequence according to the set sequence, and the branch gas pipelines are divided into a plurality of branch gas pipelinesThe serial numbers of the gas pipelines are respectively 1,2, 1, i, 1, n, each branch gas pipeline is divided into a plurality of sections of sub-pipelines according to a pipeline equal number dividing mode, the positions of the sections of sub-pipelines in each branch gas pipeline are sequentially numbered, and a position number set P of each section of sub-pipeline in each branch gas pipeline in a family is formediA(pia1,pia2,...,piaj,...,piam)，piajThe position number of the jth sub-pipeline in the ith branch gas pipeline in the family is represented, and the position number set of each sub-pipeline in each branch gas pipeline in the family is sent to a storage database;
the storage database is used for receiving the position number set of each section of sub-pipeline in each branch gas pipeline in the family, which is sent by the pipeline dividing module, and simultaneously storing the gas usage amount uploaded by the family main gas meter;
the gas output acquisition module comprises a plurality of first gas meters and is used for acquiring the gas output of each branch gas pipeline in a family, acquiring the gas output of each branch gas pipeline in the family by reading the data of the first gas meters at the gas outlets of each branch gas pipeline in the family, counting the gas output of each branch gas pipeline in the family, and forming a gas output set L (L) of each branch gas pipeline in the family1,L2,...,Li,...,Ln)，LiThe gas output quantity of the ith branch gas pipeline in the family is expressed, and the gas output quantity set of each branch gas pipeline in the family is respectively sent to a gas output quantity analysis module and an analysis server;
the gas output analysis module is used for receiving the gas output set of each branch gas pipeline in the family sent by the gas output acquisition module, calculating the total gas output of each branch gas pipeline in the family, and sending the calculated total gas output of each branch gas pipeline in the family to the analysis server;
the analysis server is used for receiving the gas output set of each branch gas pipeline in the family sent by the gas output acquisition module, meanwhile, receiving the total gas output quantity of each branch gas pipeline in the family sent by a gas output analysis module, extracting the gas usage quantity uploaded by the total gas meter in the family stored in a storage database, comparing the received total gas output quantity of each branch gas pipeline in the family with the gas usage quantity uploaded by the total gas meter in the family to obtain the total gas output quantity difference value of each branch gas pipeline in the family, if the total gas output quantity difference value of each branch gas pipeline in the family is equal to zero, indicating that no gas leaks from the branch gas pipeline in the family, and if the total gas output quantity difference value of each branch gas pipeline in the family is not equal to zero, indicating that gas leaks from the branch gas pipeline in the family, sending a command that gas leaks from the branch gas pipeline in the family to a cloud management center;
the cloud management center is used for receiving a gas leakage instruction of the branch gas pipelines in the family sent by the analysis server, reading data of a second gas meter at a gas inlet of each branch gas pipeline in the family, acquiring gas intake amount of each branch gas pipeline in the family, counting the gas intake amount of each branch gas pipeline in the family, and forming a gas intake amount set L '(L'1,L′2,...,L′i,...,L′n)，L′iThe gas inlet amount of the ith branch gas pipeline in the family is represented, and the gas inlet amount of each branch gas pipeline in the family is sent to the analysis server in a set manner;
the analysis server is used for receiving a gas intake quantity set of each branch gas pipeline in the family sent by the cloud management center, comparing the gas intake quantity of each branch gas pipeline in the family with the gas outlet quantity of the corresponding branch gas pipeline, and obtaining a comparison difference value set delta L (delta L) of the gas intake quantity and the gas outlet quantity of each branch gas pipeline in the family1,ΔL2,...,ΔLi,...,ΔLn)，ΔLiThe difference value is expressed as the comparison difference value between the gas inlet quantity and the gas outlet quantity of the ith branch gas pipeline in the family, if the comparison difference value between the gas inlet quantity and the gas outlet quantity of a certain branch gas pipeline in the family is equal to zero, the branch gas pipeline in the family is indicated to have no gas leakage, and if the gas inlet quantity and the gas outlet quantity of a certain branch gas pipeline in the family are equal to zero, the difference value between the gas inlet quantity and the gas outlet quantity ofThe comparison difference value of the quantity is larger than zero, which indicates that the branch gas pipeline in the family has gas leakage, and counts the serial numbers of the branch gas pipelines in the family with gas leakage to form a serial number set P (P) of the branch gas pipelines in the family with gas leakage1,p2,...,pf,...,pk),k≤n，pfThe number of the f branch gas pipeline showing that gas leakage occurs in the family is represented, and the number set of all branch gas pipelines showing that gas leakage occurs in the family is sent to a gas flow detection module;
the gas flow detection module is used for receiving the number set of each branch gas pipeline with gas leakage in the family sent by the analysis server, extracting the position number set of each section of sub-pipeline in each branch gas pipeline in the family stored in the storage data, detecting the received gas flow of each section of sub-pipeline in each branch gas pipeline with gas leakage in the family, and sending the detected gas flow of each section of sub-pipeline in each branch gas pipeline with gas leakage in the family to the gas flow analysis module;
the gas flow analysis module is used for receiving the gas flow of each section of sub-pipeline in each branch gas pipeline with gas leakage in the family sent by the gas flow detection module, counting the gas flow of each section of sub-pipeline in each branch gas pipeline with gas leakage in the family, and forming a gas flow set I of each section of sub-pipeline in each branch gas pipeline with gas leakage in the familyfA(Ifa1,Ifa2,...,Ifaj,...,Ifam)，IfajThe method comprises the steps of representing the gas flow of the j section of sub-pipeline in the f branch gas pipeline with gas leakage in a family, and sending the gas flow set of each section of sub-pipeline in each branch gas pipeline with gas leakage in the family to an analysis server;
the analysis server is used for receiving a gas flow set of each section of sub-pipeline in each branch gas pipeline with gas leakage in a family, which is sent by the gas flow analysis module, comparing the received gas flow of each section of sub-pipeline in each branch gas pipeline with adjacent sub-pipelines with gas leakage in the family, when the gas flow of each section of sub-pipeline in a certain branch gas pipeline with gas leakage in the family is different from that of the adjacent sub-pipelines, indicating that the sub-pipeline in the branch gas pipeline has a problem, counting the position number of the sub-pipeline with the problem in each branch gas pipeline with gas leakage in the family, and sending the position number of the sub-pipeline with the problem in each branch gas pipeline with gas leakage in the family to the pipeline map display module;
the pipeline diagram display module is used for receiving the sub-pipeline position numbers which are sent by the analysis server and have problems in the branch gas pipelines with gas leakage in the family, displaying the received sub-pipeline positions which have problems in the branch gas pipelines with gas leakage in the family, and informing related personnel to maintain and process the corresponding sub-pipeline positions.
2. The intelligent gas remote monitoring and management method based on the Internet of things and artificial intelligence as claimed in claim 1, wherein: the first gas meters are respectively installed at gas outlets of all branch gas pipelines in a family, and the serial numbers of the first gas meters correspond to the serial numbers of all branch gas pipelines one to one and are used for recording the gas outlet amount of all branch gas pipelines in the family.
3. The intelligent gas remote monitoring and management method based on the Internet of things and artificial intelligence as claimed in claim 1, wherein: the total gas output calculation formula of each branch gas pipeline in the family is
L' is expressed as the total gas outlet quantity of each branch gas pipeline in the family, LiThe gas outlet quantity of the ith branch gas pipeline in the family is shown.
4. The intelligent gas remote monitoring and management method based on the Internet of things and artificial intelligence as claimed in claim 1, wherein: the second gas meters are respectively arranged at the gas inlets of the branch gas pipelines in the family, and the serial numbers of the second gas meters correspond to the serial numbers of the branch gas pipelines one by one and are used for recording the gas inflow of the branch gas pipelines in the family.
5. The intelligent gas remote monitoring and management method based on the Internet of things and artificial intelligence as claimed in claim 1, wherein: the gas flow detection module comprises a plurality of gas flow meters, wherein the plurality of gas flow meters are respectively installed in each section of sub-pipeline in each branch gas pipeline, the plurality of gas flow meters are in one-to-one correspondence with each section of sub-pipeline in each branch gas pipeline, and the gas flow meters are used for detecting the gas flow of each section of sub-pipeline in each branch gas pipeline in a family.
6. An electronic device, characterized in that: the method comprises the following steps: the system comprises a processor, a memory and a network interface, wherein the memory and the network interface are connected with the processor; the network interface is connected with a nonvolatile memory in the server; the processor, when running, retrieves a computer program from the non-volatile memory via the network interface and runs the computer program via the memory to perform the method of any of claims 1-5.
7. A readable storage medium applied to a computer, characterized in that: the readable storage medium is burned with a computer program that, when run in the memory of the server, implements the method of any of the above claims 1-5.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113432661A (en) * | 2021-06-25 | 2021-09-24 | 河北凯森石化工程有限责任公司 | Method, device and medium for monitoring flow data |
| CN114110428A (en) * | 2021-11-30 | 2022-03-01 | 四川省产品质量监督检验检测院 | Gas pipe flow management system and method based on big data |
| CN116052406A (en) * | 2023-04-03 | 2023-05-02 | 承德泰宇热控工程技术有限公司 | Remote intelligent meter reading system |
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2020
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113432661A (en) * | 2021-06-25 | 2021-09-24 | 河北凯森石化工程有限责任公司 | Method, device and medium for monitoring flow data |
| CN114110428A (en) * | 2021-11-30 | 2022-03-01 | 四川省产品质量监督检验检测院 | Gas pipe flow management system and method based on big data |
| CN116052406A (en) * | 2023-04-03 | 2023-05-02 | 承德泰宇热控工程技术有限公司 | Remote intelligent meter reading system |
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