CN110543122A - Remote intelligent Internet of things automatic identification system and method for online detection of pipe network safety - Google Patents

Remote intelligent Internet of things automatic identification system and method for online detection of pipe network safety Download PDF

Info

Publication number
CN110543122A
CN110543122A CN201910838005.4A CN201910838005A CN110543122A CN 110543122 A CN110543122 A CN 110543122A CN 201910838005 A CN201910838005 A CN 201910838005A CN 110543122 A CN110543122 A CN 110543122A
Authority
CN
China
Prior art keywords
module
pipe network
data
automatic identification
remote intelligent
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201910838005.4A
Other languages
Chinese (zh)
Inventor
苏奇
徐朋朋
储官宝
唐瑞清
陈仁佗
石孟
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangzhou Mapping Intelligent Technology Co Ltd
Original Assignee
Guangzhou Mapping Intelligent Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangzhou Mapping Intelligent Technology Co Ltd filed Critical Guangzhou Mapping Intelligent Technology Co Ltd
Priority to CN201910838005.4A priority Critical patent/CN110543122A/en
Publication of CN110543122A publication Critical patent/CN110543122A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/04Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • G05B19/0423Input/output
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/20Pc systems
    • G05B2219/25Pc structure of the system
    • G05B2219/25257Microcontroller

Abstract

The invention discloses a remote intelligent Internet of things automatic identification system and a method for online detection of pipe network safety. The system and the method use the successful experience of various systems for reference, adopt the internationally advanced and mature technology, fully play the comprehensive role in the reconstruction of the urban management process, the function optimization, the department service collaboration and the information resource sharing, and reduce the urban informatization integral investment; and the system can automatically identify various operation faults in the underground pipe network, and timely send out fault alarm prompts, so that the system is more intelligent.

Description

Remote intelligent Internet of things automatic identification system and method for online detection of pipe network safety
Technical Field
The invention relates to the technical field of pipe network safety detection and Internet of things, in particular to a remote intelligent Internet of things automatic identification system and method for pipe network safety online detection.
background
The underground pipe network is an important component of urban infrastructure, is responsible for functions of information transmission, energy transmission and the like of cities, and is an important precondition for urban planning and urban development. The urban underground pipe network comprises several main categories of water supply, drainage (rainwater and sewage), domestic energy, industrial pipelines and the like, has multiple types, wide distribution and long arrangement period, is increasingly developed along with the development of urban planning and construction, and simultaneously needs to be continuously updated. So far, because design standard vertebra before the pipe network is low, the operation and maintenance cost is not enough, pipeline safety monitoring system is imperfect etc. many factors, have led to the city and have often taken place important problems such as waterlogging, black and odorous water body, sewage overflow, energy leakage etc. easily.
Under the background, in order to practically strengthen the construction management of urban underground pipelines, guarantee the safe operation of cities, improve the comprehensive bearing capacity and the urbanization development quality of the cities, the improvement work of underground pipe networks is practically done, and the establishment of an underground pipe network safe operation detection system is really necessary.
disclosure of Invention
The invention aims to provide a remote intelligent Internet of things automatic identification system and a remote intelligent Internet of things automatic identification method for online detection of pipe network safety.
the invention realizes the purpose through the following technical scheme:
A remote intelligent Internet of things automatic identification system for online detection of pipe network safety comprises
the sensing module is used for acquiring real-time running state data of the underground pipe network;
The network module is connected with the sensing module and used for transmitting the real-time running state data of the underground pipe network, which is acquired by the sensing module;
the processor module is connected with the sensing module through the network module and is used for receiving and analyzing real-time running state data of the underground pipe network and automatically identifying running faults;
The database module is connected with the processor module and used for storing the standard running state data of the underground pipe network and providing analysis basis for the processor module;
the alarm module is connected to the processor module and used for sending out an alarm prompt when the operation fault is identified;
And the temporary storage module is connected to the processor module and is used for recording operation fault information.
The further improvement lies in that the sensing module comprises a flow meter, a pressure meter, a water level meter and a temperature meter which are arranged at each node position of the underground pipe network.
The further improvement is that the network module adopts a 4G optical fiber transmission network.
In a further refinement, the processor module employs a number of data processors of model MT 6750.
the system is further improved in that the standard operation state data in the database module comprise inspection well cover data, drainage and waterlogging prevention data, sewage data, heat supply data and water supply network leakage data.
the improved alarm module comprises a buzzer, a warning lamp and a display.
The temporary storage module comprises a plurality of data forms, and the data forms are in data connection with the processor module and update and record operation fault information in real time.
A remote intelligent Internet of things automatic identification method for online detection of pipe network security comprises the steps of
Acquiring real-time running state data of an underground pipe network through a sensing module;
Step two, sending the real-time running state data of the underground pipe network to the processor module through the network module, comparing the real-time running state data of the underground pipe network with the standard running state data in the database module by the processor module, and automatically identifying running faults;
And step three, when the operation fault is identified, controlling an alarm module to send out an alarm prompt, and simultaneously recording the operation fault information through a temporary storage module.
The invention has the beneficial effects that: the system and the method use the successful experience of various systems for reference, adopt the internationally advanced and mature technology, fully play the comprehensive role in the reconstruction of the urban management process, the function optimization, the department service collaboration and the information resource sharing, and reduce the urban informatization integral investment; and the system can automatically identify various operation faults in the underground pipe network, and timely send out fault alarm prompts, so that the system is more intelligent.
Drawings
FIG. 1 is a block diagram of the system of the present invention;
FIG. 2 is a flow chart of the method of the present invention.
Detailed Description
the present application will now be described in further detail with reference to the drawings, it should be noted that the following detailed description is given for illustrative purposes only and is not to be construed as limiting the scope of the present application, as those skilled in the art will be able to make numerous insubstantial modifications and adaptations to the present application based on the above disclosure.
As shown in FIG. 1, a remote intelligent Internet of things automatic identification system for online detection of pipe network security comprises
the system comprises a sensing module, a control module and a control module, wherein the sensing module comprises a flowmeter, a pressure gauge, a water level gauge and a thermometer which are arranged at each node position of an underground pipe network, and the sensing module is used for acquiring real-time running state data of the underground pipe network;
the network module adopts a 4G optical fiber transmission network, is connected to the sensing module and is used for transmitting the real-time running state data of the underground pipe network collected by the sensing module;
The processor module adopts a plurality of data processors with the model number of MT6750, is connected with the sensing module through the network module and is used for receiving and analyzing real-time running state data of the underground pipe network and automatically identifying running faults;
The system comprises a processor module, a database module, a data processing module and a data processing module, wherein the processor module is connected with the processor module and used for storing standard running state data of an underground pipe network and providing analysis basis for the processor module, and the standard running state data in the database module comprises inspection well cover data, drainage waterlogging prevention data, sewage data, heat supply data and water supply network leakage data;
the alarm module comprises a buzzer, a warning lamp and a display, and is connected with the processor module and used for sending out an alarm prompt when the operation fault is identified;
The temporary storage module is connected with the processor module and used for recording operation fault information, and comprises a plurality of data forms which are connected with the processor module in a data mode and used for updating and recording the operation fault information in real time.
As shown in FIG. 2, the invention also provides a remote intelligent Internet of things automatic identification method for online detection of pipe network security, which comprises the following steps
acquiring real-time running state data of an underground pipe network through a sensing module;
Step two, sending the real-time running state data of the underground pipe network to the processor module through the network module, comparing the real-time running state data of the underground pipe network with the standard running state data in the database module by the processor module, and automatically identifying running faults; for example, when the real-time pressure value data of a certain node position of a pipe network is larger than a standard pressure data range, the node position is judged to have an operation fault;
And step three, when the operation fault is identified, controlling an alarm module to send out an alarm prompt, and simultaneously recording the operation fault information through a temporary storage module.
the above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention.

Claims (8)

1. The utility model provides a pipe network security on-line measuring's remote intelligent thing networking automatic identification system which characterized in that: comprises that
The sensing module is used for acquiring real-time running state data of the underground pipe network;
The network module is connected with the sensing module and used for transmitting the real-time running state data of the underground pipe network, which is acquired by the sensing module;
The processor module is connected with the sensing module through the network module and is used for receiving and analyzing real-time running state data of the underground pipe network and automatically identifying running faults;
The database module is connected with the processor module and used for storing the standard running state data of the underground pipe network and providing analysis basis for the processor module;
the alarm module is connected to the processor module and used for sending out an alarm prompt when the operation fault is identified;
And the temporary storage module is connected to the processor module and is used for recording operation fault information.
2. The remote intelligent Internet of things automatic identification system for the online detection of the pipe network safety according to claim 1, characterized in that: the sensing module comprises a flow meter, a pressure meter, a water level meter and a temperature meter which are arranged at each node position of the underground pipe network.
3. the remote intelligent Internet of things automatic identification system for the online detection of the pipe network safety according to claim 1, characterized in that: the network module adopts a 4G optical fiber transmission network.
4. the remote intelligent Internet of things automatic identification system for the online detection of the pipe network safety according to claim 1, characterized in that: the processor module employs a number of data processors of model MT 6750.
5. The remote intelligent Internet of things automatic identification system for the online detection of the pipe network safety according to claim 1, characterized in that: the standard operation state data in the database module comprise inspection well lid data, drainage and waterlogging prevention data, sewage data, heat supply data and water supply network leakage data.
6. the remote intelligent Internet of things automatic identification system for the online detection of the pipe network safety according to claim 1, characterized in that: the alarm module comprises a buzzer, a warning lamp and a display.
7. The remote intelligent Internet of things automatic identification system for the online detection of the pipe network safety according to claim 1, characterized in that: the temporary storage module comprises a plurality of data forms, and the data forms are in data connection with the processor module and update and record operation fault information in real time.
8. a remote intelligent Internet of things automatic identification method for online detection of pipe network safety is characterized in that: comprises the steps of
acquiring real-time running state data of an underground pipe network through a sensing module;
Step two, sending the real-time running state data of the underground pipe network to the processor module through the network module, comparing the real-time running state data of the underground pipe network with the standard running state data in the database module by the processor module, and automatically identifying running faults;
And step three, when the operation fault is identified, controlling an alarm module to send out an alarm prompt, and simultaneously recording the operation fault information through a temporary storage module.
CN201910838005.4A 2019-09-05 2019-09-05 Remote intelligent Internet of things automatic identification system and method for online detection of pipe network safety Pending CN110543122A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910838005.4A CN110543122A (en) 2019-09-05 2019-09-05 Remote intelligent Internet of things automatic identification system and method for online detection of pipe network safety

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910838005.4A CN110543122A (en) 2019-09-05 2019-09-05 Remote intelligent Internet of things automatic identification system and method for online detection of pipe network safety

Publications (1)

Publication Number Publication Date
CN110543122A true CN110543122A (en) 2019-12-06

Family

ID=68712554

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910838005.4A Pending CN110543122A (en) 2019-09-05 2019-09-05 Remote intelligent Internet of things automatic identification system and method for online detection of pipe network safety

Country Status (1)

Country Link
CN (1) CN110543122A (en)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2199881A1 (en) * 2008-12-18 2010-06-23 Endress + Hauser Process Solutions AG Field device for automation technology
US20120059591A1 (en) * 2010-04-01 2012-03-08 Kennon Guglielmo Systems and Methods for Collecting, Analyzing, Recording, and Transmitting Fluid Hydrocarbon Production Monitoring and Control Data
CN105223890A (en) * 2015-10-21 2016-01-06 遵义长征电器开关设备有限责任公司 Based on the Urban Underground pipe gallery water supply line online monitoring system of GPRS
CN106090623A (en) * 2016-06-27 2016-11-09 清华大学合肥公共安全研究院 Pipe network remote supervision system based on Internet of Things
CN106323384A (en) * 2016-10-26 2017-01-11 南京中凯光电科技股份有限公司 City pipe gallery online monitoring system based on optical fiber sensing and shimmer monitoring technology
CN107807571A (en) * 2017-11-01 2018-03-16 无锡港湾网络科技有限公司 Pipe gallery intelligent monitor system
CN108830462A (en) * 2018-05-25 2018-11-16 中建三局安装工程有限公司 A kind of pipe gallery wisdom operation management platform and method

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2199881A1 (en) * 2008-12-18 2010-06-23 Endress + Hauser Process Solutions AG Field device for automation technology
US20120059591A1 (en) * 2010-04-01 2012-03-08 Kennon Guglielmo Systems and Methods for Collecting, Analyzing, Recording, and Transmitting Fluid Hydrocarbon Production Monitoring and Control Data
CN105223890A (en) * 2015-10-21 2016-01-06 遵义长征电器开关设备有限责任公司 Based on the Urban Underground pipe gallery water supply line online monitoring system of GPRS
CN106090623A (en) * 2016-06-27 2016-11-09 清华大学合肥公共安全研究院 Pipe network remote supervision system based on Internet of Things
CN106323384A (en) * 2016-10-26 2017-01-11 南京中凯光电科技股份有限公司 City pipe gallery online monitoring system based on optical fiber sensing and shimmer monitoring technology
CN107807571A (en) * 2017-11-01 2018-03-16 无锡港湾网络科技有限公司 Pipe gallery intelligent monitor system
CN108830462A (en) * 2018-05-25 2018-11-16 中建三局安装工程有限公司 A kind of pipe gallery wisdom operation management platform and method

Similar Documents

Publication Publication Date Title
CN106227140B (en) Wisdom water supply management system
CN103186134A (en) Circulating water intelligent monitoring system based on Internet of things
CN102884407A (en) System and method for monitoring resources in a water utility network
CN102235575A (en) Data processing method and system for checking pipeline leakage
CN102117383A (en) Method for diagnosing river pollution in real time
CN105425752A (en) Real-time monitoring system of pipe network and working method of same
CN105527915A (en) Thermal power plant real-time water affair monitoring system and monitoring method
CN110825011A (en) Pollution source on-line water balance monitoring system
CN110673673A (en) BIM operation and maintenance platform-based monitoring management system for high-rise ultralow-energy-consumption residence
CN109859088A (en) A kind of city integrated piping lane safety monitoring system based on block chain
CN108614544A (en) A kind of industrial boiler system abnormal signal value monitoring method and its system
CN110543122A (en) Remote intelligent Internet of things automatic identification system and method for online detection of pipe network safety
KR102101625B1 (en) ICT integrated monitoring water management system for smart water city construction, and integrated control server for the same
CN107516167A (en) Municipal drainage integration operation intelligent distribution and management system
CN104298201A (en) Enterprise pollution discharge monitoring system
CN204462788U (en) A kind of sewerage system
CN110985892A (en) Water supply pipe network monitoring system and method
CN208886402U (en) Valve well density monitoring system
CN204332043U (en) A kind of sewage on-line monitoring system
AU2020104126A4 (en) Waste Water Management System for Smart Cities through IoT based Technology
Abdallah et al. Transformation of the water system of the Education City in Doha into a smart water system
CN112232632A (en) HACCP-based water supply system operation management key technology evaluation method
CN211293724U (en) Pollution source on-line water balance monitoring system
CN111176175A (en) Intelligent sewer monitoring system based on Internet of things technology
KR101821274B1 (en) Water information management system for smart water gride

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination