CN117611414A - Urban lifeline sensing and safe operation system - Google Patents

Urban lifeline sensing and safe operation system Download PDF

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Publication number
CN117611414A
CN117611414A CN202311606128.8A CN202311606128A CN117611414A CN 117611414 A CN117611414 A CN 117611414A CN 202311606128 A CN202311606128 A CN 202311606128A CN 117611414 A CN117611414 A CN 117611414A
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pipe network
data
urban
things
internet
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黄山峰
关键翀
游智
赵云峰
王吉良
黄震
黄骥
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Shanghai Electric Smart City Information Technology Co ltd
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    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
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    • G16Y40/00IoT characterised by the purpose of the information processing
    • G16Y40/10Detection; Monitoring
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00IoT characterised by the purpose of the information processing
    • G16Y40/50Safety; Security of things, users, data or systems

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Abstract

The invention discloses an urban lifeline sensing and safety operation system, and relates to the technical field of urban safety management. The system comprises: the pipe network internet of things detection unit is used for acquiring the operation data of each city pipe network in the target city map; the city pipe network includes: the system comprises a heating power pipe network, a drainage pipe network, a comprehensive pipe gallery, a gas pipe network, a water supply pipe network and a road bridge tunnel monitoring network; the distributed internet of things service unit is used for storing and extracting target internet of things data of the operation data and transmitting the target internet of things data by utilizing the video network; the city life line safety situation platform is used for: determining a security situation base according to the operation data; generating accident early warning according to the abnormal value of the target internet of things data, carrying out configuration optimization of each city pipe network according to the accident early warning, and carrying out three-dimensional modeling according to the pipe network structure and corresponding operation data in the target city map to obtain a digital twin scene. The invention can improve the collaborative coordination capacity of the urban pipe network system and optimize the resource allocation.

Description

Urban lifeline sensing and safe operation system
Technical Field
The invention relates to the technical field of urban safety management, in particular to an urban lifeline sensing and safety operation system.
Background
The urban life line is an important infrastructure for maintaining normal operation of cities and meeting production and living needs of masses, and the urban safety risk monitoring and early warning capability is an important embodiment of urban safety management system and capability modernization. In recent years, along with the development of science and technology, many cities start to explore and establish an urban life line safety operation monitoring system to realize the fundamental transition of urban safety operation management from invisible to visible, from post investigation treatment to pre-warning in advance and from passive response to active prevention and control. The urban lifeline safe operation monitoring system has become a safety guarantee for realizing timely sensing, early prediction and early warning and efficient handling of urban lifeline risks. The safe operation of the life line engineering is directly influenced by the safe reliability of the operation, the operation reliability of the urban life line monitoring system is improved, and the method has very important significance for the safe operation of the whole life line engineering.
Disclosure of Invention
The invention aims to provide an urban life line sensing and safe operation system which can improve the collaborative coordination capacity of an urban pipe network system and optimize resource allocation.
In order to achieve the above object, the present invention provides the following solutions:
an urban lifeline awareness and security operation system, comprising:
the pipe network internet of things detection unit is used for acquiring the operation data of each city pipe network in the target city map; the operation data are the data of operation equipment in the pipe network; the city pipe network comprises: the system comprises a heating power pipe network, a drainage pipe network, a comprehensive pipe gallery, a gas pipe network, a water supply pipe network and a road bridge tunnel monitoring network;
the distributed internet of things service unit is used for storing and extracting target internet of things data of the operation data and transmitting the target internet of things data by utilizing the video network;
the city life line safety situation platform is used for:
determining a security situation base according to the operation data;
generating accident early warning according to the abnormal value of the target internet of things data, carrying out configuration optimization of each city pipe network according to the accident early warning, and carrying out three-dimensional modeling according to the pipe network structure and corresponding operation data in the target city map to obtain a digital twin scene.
Optionally, the pipe network internet of things detection unit specifically includes:
the pipe network association module is used for associating the heating power pipe network, the drainage pipe network, the comprehensive pipe gallery, the gas pipe network, the water supply pipe network and the road bridge tunnel monitoring network to obtain an Internet of things pipe network;
and the data monitoring module is used for carrying out data monitoring on the Internet of things pipe network by utilizing the sensor to obtain the operation data of each city pipe network in the target city map.
Optionally, the data monitoring module specifically includes:
pipe network detection submodule for:
monitoring the operation state of a heating power pipe network and auxiliary facilities;
monitoring the safety operation risk of the urban drainage pipe network and the auxiliary facilities;
monitoring the safety operation risk of the gas pipe network and the adjacent space;
the pipe gallery detection submodule is used for monitoring the operation risk of the environment and auxiliary facilities in the gallery;
the road detection sub-module is used for monitoring the road and bridge tunnel structure body and the safety risk of external load and meteorological environment affecting safety.
Optionally, the distributed internet of things service unit specifically includes:
the object coupling module is used for receiving the operation data monitored by each urban pipe network;
and the data processing module is used for carrying out calculation processing, data transmission and storage on the operation data based on various transmission modes of the video networking.
Optionally, the data processing module specifically includes:
the statistical analysis sub-module is used for carrying out data statistics, data distribution and data cleaning operation on the operation data, extracting the content required by urban life line security service and obtaining target internet of things data;
the network transmission sub-module is used for carrying out network transmission on the security situation base number and the target internet of things data based on various transmission modes of the internet of view;
and the data storage sub-module is used for storing the target internet of things data.
Optionally, the city life line security posture platform specifically includes:
the safety situation base number determining module is used for utilizing the operation data to statistically analyze the total unit quantity of the pipe network, grasping the equipment states of various pipe networks in real time and determining the safety situation base number;
the early warning display module is used for calculating an abnormal value of the target internet of things data, outputting accident early warning when the abnormal value occurs, carrying out configuration optimization on each urban pipe network according to the accident early warning, and carrying out three-dimensional modeling according to the pipe network structure and corresponding operation data in the target urban map to obtain a digital twin scene.
Optionally, the early warning display module specifically includes:
the risk early warning sub-module is used for comparing the target internet of things data with a set alarm threshold value, and outputting accident early warning when the target internet of things data exceeds the set alarm threshold value;
the resource allocation unit is used for carrying out allocation optimization on each urban pipe network according to the accident pre-warning and the operation data to obtain a management and control strategy;
and the three-dimensional display unit is used for carrying out three-dimensional modeling according to the management and control strategy, the pipe network structure in the target city map and the corresponding operation data to obtain a digital twin scene.
Optionally, the city life line security posture platform further includes:
and the video module is used for assisting users in carrying out video perception according to the security situation base number.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention discloses an urban lifeline sensing and safe operation system, which comprises a pipe network internet of things detection unit, a network management unit and a network management unit, wherein the pipe network internet of things detection unit is used for acquiring operation data of each urban pipe network in a target urban map; the city pipe network includes: the system comprises a heating power pipe network, a drainage pipe network, a comprehensive pipe gallery, a gas pipe network, a water supply pipe network and a road bridge tunnel monitoring network; the distributed internet of things service unit is used for storing and extracting target internet of things data of the operation data and transmitting the target internet of things data by utilizing the video network; the city life line safety situation platform is used for: determining a security situation base according to the operation data; generating accident early warning according to the abnormal value of the target internet of things data, carrying out configuration optimization of each city pipe network according to the accident early warning, and carrying out three-dimensional modeling according to the pipe network structure and corresponding operation data in the target city map to obtain a digital twin scene. The invention can improve the collaborative coordination capacity of the urban pipe network system and optimize the resource allocation.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the drawings that are needed in the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of a city life line sensing and security operation system according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention aims to provide an urban life line sensing and safe operation system which can improve the collaborative coordination capacity of an urban pipe network system and optimize resource allocation.
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.
As shown in fig. 1, the present invention provides an urban lifeline sensing and security operation system, comprising:
the pipe network internet of things detection unit is used for acquiring the operation data of each city pipe network in the target city map; the operation data are the data of operation equipment in the pipe network; the city pipe network comprises: the system comprises a heating power pipe network, a drainage pipe network, a comprehensive pipe gallery, a gas pipe network, a water supply pipe network and a road bridge tunnel monitoring network;
the distributed internet of things service unit is used for storing and extracting target internet of things data of the operation data and transmitting the target internet of things data by utilizing the video network;
the city life line safety situation platform is used for:
determining a security situation base according to the operation data;
generating accident early warning according to the abnormal value of the target internet of things data, carrying out configuration optimization of each city pipe network according to the accident early warning, and carrying out three-dimensional modeling according to the pipe network structure and corresponding operation data in the target city map to obtain a digital twin scene.
As a specific embodiment, the pipe network internet of things detection unit specifically includes: and the pipe network association module and the data monitoring module.
Specifically, a pipe network association module is used for associating the heating power pipe network, the drainage pipe network, the comprehensive pipe gallery, the gas pipe network, the water supply pipe network and the road bridge tunnel monitoring network to obtain an internet of things pipe network; and the data monitoring module is used for carrying out data monitoring on the Internet of things pipe network by utilizing the sensor to obtain the operation data of each city pipe network in the target city map.
Further, the data monitoring module specifically includes: pipe network detection submodule, piping lane detection submodule and road detection submodule.
Specifically, the pipe network detects submodule for: monitoring the operation state of a heating power pipe network and auxiliary facilities; monitoring the safety operation risk of the urban drainage pipe network and the auxiliary facilities; monitoring the safety operation risk of the gas pipe network and the adjacent space; the pipe gallery detection submodule is used for monitoring the operation risk of the environment and auxiliary facilities in the gallery; the road detection sub-module is used for monitoring the road and bridge tunnel structure body and the safety risk of external load and meteorological environment affecting safety.
As a specific implementation manner, the distributed internet of things service unit specifically includes: the object coupling module and the data processing module.
Specifically, the object coupling module is used for receiving operation data monitored by each urban pipe network; and the data processing module is used for carrying out calculation processing, data transmission and storage on the operation data based on various transmission modes of the video networking.
Further, the data processing module specifically includes: the system comprises a statistical analysis sub-module, a network transmission sub-module and a data storage sub-module.
Specifically, the statistical analysis sub-module is used for carrying out data statistics, data distribution and data cleaning operation on the operation data, extracting the content required by urban life line security service and obtaining target internet of things data; the network transmission sub-module is used for carrying out network transmission on the security situation base number and the target internet of things data based on various transmission modes of the internet of view; and the data storage sub-module is used for storing the target internet of things data.
As a specific implementation manner, the city life line security posture platform specifically includes: a security situation base number determining module and an early warning display module.
The safety situation base number determining module is used for utilizing the operation data to statistically analyze the total unit quantity of the pipe network, grasping the equipment states of various pipe networks in real time and determining the safety situation base number; the early warning display module is used for calculating an abnormal value of the target internet of things data, outputting accident early warning when the abnormal value occurs, carrying out configuration optimization on each urban pipe network according to the accident early warning, and carrying out three-dimensional modeling according to the pipe network structure and corresponding operation data in the target urban map to obtain a digital twin scene.
Further, the early warning display module specifically includes: the system comprises a risk early warning sub-module, a resource allocation unit and a three-dimensional display unit.
Specifically, the risk early warning sub-module is used for comparing the target internet of things data with a set alarm threshold, and outputting accident early warning when the target internet of things data exceeds the set alarm threshold; the resource allocation unit is used for carrying out allocation optimization on each urban pipe network according to the accident pre-warning and the operation data to obtain a management and control strategy; and the three-dimensional display unit is used for carrying out three-dimensional modeling according to the management and control strategy, the pipe network structure in the target city map and the corresponding operation data to obtain a digital twin scene.
In addition, the city life line safety situation platform further comprises: and the video module is used for assisting users in carrying out video perception according to the security situation base number.
On the basis of the technical scheme, the following embodiments are provided.
First, for the thing allies oneself with detection of various pipe networks:
(1) Heating power pipe network: monitoring the operation state of a heating power pipe network and auxiliary facilities thereof;
(2) Drainage pipe network: monitoring the safety operation risk of the urban drainage pipe network and auxiliary facilities thereof;
(3) Utility tunnel: monitoring the running risk of the environment and auxiliary facilities in the corridor;
(4) Gas pipe network: monitoring the safety operation risk of the gas pipe network and the adjacent space thereof; (5) a water supply network: monitoring the safety operation risk of the urban water supply network and auxiliary facilities thereof;
(6) Road bridge tunnel monitoring: and monitoring the safety risks of the road bridge tunnel structure body, external loads affecting safety, meteorological environment and the like.
Secondly, aiming at the distributed internet of things service unit, the functions comprise:
(1) And (3) accessing an object: based on the real-time data collected by powerful sensors, intelligent meters and Internet of things industry ecology, the Internet of things equipment connected with various pipe networks provides a perfect comprehensive sensing and dynamic sensing solution, senses monitoring data such as water, electricity, gas, heat, traffic and dangerous sources related to a city life line, and realizes advanced prediction, foreknowledge, early warning and pre-control by combining an intelligent and scenerization business analysis model through real-time acquisition and monitoring of far-end data, thereby enhancing the effective sensing of safety state information of related personnel, equipment, facilities and environments of the city life line and realizing real-time monitoring and intelligent treatment of various safety elements of the city life line.
(2) Network transmission: the internet of things data is transmitted to the inside of the iCity number intelligent system, network transmission is provided for the convergence transmission of resources, and a plurality of transmission modes based on the video networking, such as the Internet, private networks and the like, are provided in combination with the actual situation.
(3) A calculation unit: and carrying out operations such as data statistics, data distribution, data cleaning and the like on the collected internet of things data, and extracting contents required by urban life line security services.
(4) And (3) data storage: and storing the finally obtained real-time Internet of things data.
Finally, aiming at the urban life line security situation platform, the functions comprise:
(1) Security situation base number: the total unit amount of the pipe network is counted and analyzed, and the equipment states of various pipe networks are mastered in real time;
(2) And (3) peace war command: the system has the advantages that the functions of mastering the global security situation, video perception, monitoring and early warning, intelligent emergency planning and situation analysis, video consultation, one-key scheduling, intelligent rescue ring formation, whole-course tracking of events and elements, communication fusion, auxiliary decision making and the like can be realized in the face of emergency events in the daily supervision process;
(3) Risk deduction: the disaster resistance of the pipe network is deduced in advance in the system by combining meteorological data such as typhoon in the flood season, so that an emergency treatment scheme can be formulated in advance;
(4) Decision assistance: by displaying comprehensive data and statistical indexes of various pipe networks, a decision maker is helped to analyze various works such as problems, expected results, uncertainty factors, evaluation and selection schemes and the like in the decision making process;
(5) Project management and control: the full life cycle monitoring of various pipe networks is realized, the related data of the construction period and the operation period are stored and analyzed, the GIS+BIM or GIS+4D model is comprehensively displayed, the full life cycle state of the bridge is mastered, and a decision basis is provided for the management and control of the present and future projects; (6) scene twinning: the three-dimensional model, the pipe network pipeline, the urban parts, the urban life line operation data and the like are fused into the digital twin scene, the urban overall safe operation situation is dynamically presented, the space distribution condition of the macroscopic pipe network pipeline, the high-risk enterprises, the fire-fighting units, hidden danger points and the like is realized, the multidimensional display of microscopic equipment facilities is realized, and the three-dimensional, refined and realistic urban scene data display, query and analysis are provided. The digital twin supporting platform mainly comprises scene display, query retrieval, analog simulation, data fusion, multidimensional visualization and the like;
(7) Risk early warning: the method comprises the steps of carrying out integrated processing on data such as videos, vibration, sedimentation, smoke feeling, rainfall, water level and the like inside and outside various pipe networks, sensing a safety state in real time, scientifically setting an alarm threshold, automatically starting alarm once the data are larger than the set threshold, and timely generating early warning according to the influence range, evolution rule and loss degree of alarm conditions, and analyzing the safety risks of rainwater backflow, earth surface sedimentation and large passenger flow congestion.
The embodiment has the following beneficial effects:
through a digital intelligent city life line safety management system, city life line sensing equipment and a safety operation system are built, and a safety toughness city with automatic adaptation and adjustment capability in the face of acute or chronic impact is built. The method is characterized in that cities with resistance, absorption, adaptation and rapid recovery capability under emergency conditions are built, meanwhile, the method has learning capability on past events, the core concept is that the pre-disaster resisting capability, active control capability in disaster time, timely rescue capability after disaster, learning capability and recovery capability of the cities are improved, the cooperative coordination capability of links is improved and perfected continuously in experience, resource allocation is optimized, early warning information is sent out before disaster comes, and an active disaster prevention system actively adjusts according to the early warning information so as to resist the influence of the disaster on urban building facilities.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other.
The principles and embodiments of the present invention have been described herein with reference to specific examples, the description of which is intended only to assist in understanding the core concept of the invention; also, it is within the scope of the present invention to be modified by those of ordinary skill in the art in light of the present teachings. In view of the foregoing, this description should not be construed as limiting the invention.

Claims (8)

1. A city lifeline awareness and security operation system, comprising:
the pipe network internet of things detection unit is used for acquiring the operation data of each city pipe network in the target city map; the operation data are the data of operation equipment in the pipe network; the city pipe network comprises: the system comprises a heating power pipe network, a drainage pipe network, a comprehensive pipe gallery, a gas pipe network, a water supply pipe network and a road bridge tunnel monitoring network;
the distributed internet of things service unit is used for storing and extracting target internet of things data of the operation data and transmitting the target internet of things data by utilizing the video network;
the city life line safety situation platform is used for:
determining a security situation base according to the operation data;
generating accident early warning according to the abnormal value of the target internet of things data, carrying out configuration optimization of each city pipe network according to the accident early warning, and carrying out three-dimensional modeling according to the pipe network structure and corresponding operation data in the target city map to obtain a digital twin scene.
2. The urban lifeline sensing and safety operation system according to claim 1, wherein the network-based detection unit comprises:
the pipe network association module is used for associating the heating power pipe network, the drainage pipe network, the comprehensive pipe gallery, the gas pipe network, the water supply pipe network and the road bridge tunnel monitoring network to obtain an Internet of things pipe network;
and the data monitoring module is used for carrying out data monitoring on the Internet of things pipe network by utilizing the sensor to obtain the operation data of each city pipe network in the target city map.
3. The urban lifeline awareness and security operation system according to claim 2, wherein the data monitoring module comprises:
pipe network detection submodule for:
monitoring the operation state of a heating power pipe network and auxiliary facilities;
monitoring the safety operation risk of the urban drainage pipe network and the auxiliary facilities;
monitoring the safety operation risk of the gas pipe network and the adjacent space;
the pipe gallery detection submodule is used for monitoring the operation risk of the environment and auxiliary facilities in the gallery;
the road detection sub-module is used for monitoring the road and bridge tunnel structure body and the safety risk of external load and meteorological environment affecting safety.
4. The urban lifeline awareness and security operation system according to claim 1, wherein the distributed internet of things service unit comprises:
the object coupling module is used for receiving the operation data monitored by each urban pipe network;
and the data processing module is used for carrying out calculation processing, data transmission and storage on the operation data based on various transmission modes of the video networking.
5. The urban lifeline awareness and security operation system according to claim 4, wherein the data processing module comprises:
the statistical analysis sub-module is used for carrying out data statistics, data distribution and data cleaning operation on the operation data, extracting the content required by urban life line security service and obtaining target internet of things data;
the network transmission sub-module is used for carrying out network transmission on the security situation base number and the target internet of things data based on various transmission modes of the internet of view;
and the data storage sub-module is used for storing the target internet of things data.
6. The urban lifeline awareness and security operation system according to claim 1, wherein the urban lifeline security posture platform comprises:
the safety situation base number determining module is used for utilizing the operation data to statistically analyze the total unit quantity of the pipe network, grasping the equipment states of various pipe networks in real time and determining the safety situation base number;
the early warning display module is used for calculating an abnormal value of the target internet of things data, outputting accident early warning when the abnormal value occurs, carrying out configuration optimization on each urban pipe network according to the accident early warning, and carrying out three-dimensional modeling according to the pipe network structure and corresponding operation data in the target urban map to obtain a digital twin scene.
7. The urban lifeline awareness and security operation system of claim 6, wherein the early warning display module comprises:
the risk early warning sub-module is used for comparing the target internet of things data with a set alarm threshold value, and outputting accident early warning when the target internet of things data exceeds the set alarm threshold value;
the resource allocation unit is used for carrying out allocation optimization on each urban pipe network according to the accident pre-warning and the operation data to obtain a management and control strategy;
and the three-dimensional display unit is used for carrying out three-dimensional modeling according to the management and control strategy, the pipe network structure in the target city map and the corresponding operation data to obtain a digital twin scene.
8. The urban lifeline awareness and security operation system of claim 6, wherein the urban lifeline security posture platform further comprises:
and the video module is used for assisting users in carrying out video perception according to the security situation base number.
CN202311606128.8A 2023-11-28 2023-11-28 Urban lifeline sensing and safe operation system Pending CN117611414A (en)

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Application Number Priority Date Filing Date Title
CN202311606128.8A CN117611414A (en) 2023-11-28 2023-11-28 Urban lifeline sensing and safe operation system

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118095858A (en) * 2024-03-25 2024-05-28 成都秦川物联网科技股份有限公司 Comprehensive pipe rack gas facility safety monitoring method and system based on Internet of things

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118095858A (en) * 2024-03-25 2024-05-28 成都秦川物联网科技股份有限公司 Comprehensive pipe rack gas facility safety monitoring method and system based on Internet of things
CN118095858B (en) * 2024-03-25 2024-07-05 成都秦川物联网科技股份有限公司 Comprehensive pipe rack gas facility safety monitoring method and system based on Internet of things

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