CN103595813B - Wisdom pipe network application system and implementation method - Google Patents

Wisdom pipe network application system and implementation method Download PDF

Info

Publication number
CN103595813B
CN103595813B CN201310598341.9A CN201310598341A CN103595813B CN 103595813 B CN103595813 B CN 103595813B CN 201310598341 A CN201310598341 A CN 201310598341A CN 103595813 B CN103595813 B CN 103595813B
Authority
CN
China
Prior art keywords
pipe network
network
data
information
layer
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.)
Active
Application number
CN201310598341.9A
Other languages
Chinese (zh)
Other versions
CN103595813A (en
Inventor
唐菊娣
杨春江
刘军
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.)
JINHAN INTELLIGENCE NETWORK TECHNOLOGY Co Ltd
Original Assignee
JINHAN INTELLIGENCE NETWORK 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 JINHAN INTELLIGENCE NETWORK TECHNOLOGY Co Ltd filed Critical JINHAN INTELLIGENCE NETWORK TECHNOLOGY Co Ltd
Priority to CN201310598341.9A priority Critical patent/CN103595813B/en
Publication of CN103595813A publication Critical patent/CN103595813A/en
Application granted granted Critical
Publication of CN103595813B publication Critical patent/CN103595813B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Arrangements For Transmission Of Measured Signals (AREA)

Abstract

The invention discloses a kind of wisdom pipe network application system and implementation method, this wisdom pipe network system includes: perception identification layer, network struction layer, management service layer and integrated application layer, wherein, perception identification layer is the information generating unit of wisdom pipe network, and perception identification layer includes automatic information signal generating unit and artificial information's signal generating unit;Network struction layer is the information transmission unit of wisdom pipe network, and network struction layer includes distant-end node and heterogeneous network;Management service layer is the information process unit of wisdom pipe network, and management service layer includes data protection module, data memory module, data retrieval module and data organisation module;Integrated application layer is the Information application unit of wisdom pipe network, and integrated application layer is for by wisdom pipe network and various public network terminals, special pipelines monitoring system and data platform, digital city associated production and the system interconnection of application.Implement technical scheme, facilitate Supervisory control and management.

Description

Intelligent pipe network application system and implementation method
Technical Field
The invention relates to the field of urban pipe network production and application, in particular to an intelligent pipe network application system and an implementation method.
Background
Urban pipe networks are an important component of urban infrastructure, which are responsible for the work of transmitting information, energy or transport media, and are the material foundation on which cities live and develop, called the "lifelines" of cities. On the other hand, the development of national economy has already made higher demands on information systems, the internet has gradually become an information carrier and platform for people's daily life, and the application of wireless technology has also made mobile computing mature and popular, and has been widely involved in social operations and various activities of people.
In recent years, large-scale urban waterlogging occurs in each big city in China, and the problem mainly occurs in the aspect of planning of urban pipe network construction and the aspect of pipe network monitoring management, and is seriously delayed. Along with the development strategy of 'smart cities' proposed by the nation, the national academy also proposes the requirements of 'solving rainwater and sewage diversion in 5 years and solving urban inland inundation in 10 years', and simultaneously proposes the researches on the aspects of improving an emergency mechanism, strengthening the daily management of a pipe network, increasing the scientific and technological support strength, further strengthening the urban rainfall law, evaluating the drainage influence, and carrying out rainstorm inland inundation risk and the like; the drainage waterlogging prevention digital level is comprehensively improved, and technical systems such as geographic information, global positioning, remote sensing application and the like are actively applied. Therefore, the market call shows an intelligent pipe network application system which is convenient to monitor and manage.
In the past city infrastructure construction, the construction of a pipe network infrastructure and an information infrastructure is often performed separately. On one hand, people continuously build and perfect city pipe network infrastructure, on the other hand, people develop information infrastructure including data centers, personal computers, broadband networks and the like without the remuneration, but the two are often not coherent.
With the development of modern economy, the mainstream network computing model, which mainly relies on desktop computing, is advocated to develop into a pervasive computing model that more widely deploys mobile smart devices and tiny computing devices. The method obtains services and support from the advocates around the computer terminal, develops into a computer network and provides services and support around the people actively.
The sensors are means for people to effectively sense and detect the pipe network infrastructure, the sensors in the pipe network infrastructure are combined into a network, a large number of miniaturized computing devices such as the sensors are connected together in a self-organizing manner, and a universal computing mode is further extended to the production and application fields such as the pipe network infrastructure which can be popularized in a large scale from meeting the individual needs. The information infrastructure can be popularized to the pipe network infrastructure to form networking and informatization of the pipe network infrastructure, and integration and unification of the pipe network infrastructure and the information infrastructure are achieved.
Disclosure of Invention
The invention aims to solve the technical problem of providing an intelligent pipe network application system convenient to monitor and manage and an implementation method thereof aiming at the defect that the pipe network monitoring and managing in the prior art are inconvenient.
The technical scheme adopted by the invention for solving the technical problems is as follows: construct an wisdom pipe network application system, this wisdom pipe network system includes: a perception identification layer, a network construction layer, a management service layer and an integrated application layer, wherein,
the perception identification layer is an information generation unit of the intelligent pipe network and comprises an automatic information generation unit and a manual information generation unit; wherein,
the automatic information generation unit comprises active sensing information sensing equipment and passive sensing information sensing equipment, and is connected with ground nodes with communication capacity, so that key nodes of a pipe network become network terminals which can be independently addressed;
the artificial information generating unit comprises mobile intelligent equipment and is used for manually generating pipe network information on site and movably accessing the pipe network information through a heterogeneous network;
the network construction layer is an information transmission unit of the intelligent pipe network and comprises a remote node and a heterogeneous network; the network construction layer provides a network access function for the network terminal;
the management service layer is an information processing unit of the intelligent pipe network and comprises a data protection module, a data storage module, a data retrieval module and a data organization module, and the data protection module comprises a gateway; the heterogeneous networks of the network construction layer are communicated and interconnected through gateways of a data protection module of the management service layer;
the comprehensive application layer is an information application unit of the intelligent pipe network; the comprehensive application layer is used for interconnecting the smart pipe network with the public network terminal, the professional pipeline monitoring system with the data platform and the system in the related production and application fields of the digital city and realizing information integration;
the active sensing information sensing equipment is detachably fixed through a fixing device arranged between the pipeline of the underground pipe network and the ground surface.
In the intelligent pipe network application system of the invention, in the automatic information generating unit,
the active sensing information sensing equipment comprises a pipe network wireless/wired sensor, a ground node and a power supply; the remote node is connected with the ground node in a wired or wireless mode to form a pipe network sensor network;
the passive sensing information sensing device includes an information tag and an information tag reading device.
In the intelligent pipe network application system, in a network construction layer, a heterogeneous network comprises a pipe network sensor network, a mobile communication network, an internet wide area network, a professional pipeline SCADA/DCS network, a data platform and a public network terminal.
In the intelligent pipe network application system of the invention, in the management service layer,
the data storage module comprises a plurality of data storage servers and a GPS clock, and the data storage servers are kept synchronous by relying on the GPS clock;
the data retrieval module comprises a WEB server based on WEB, and data retrieval software is loaded in the WEB server;
the data organization module comprises a GIS server and an application workstation;
the data protection module also includes a firewall for the gateway.
In the intelligent pipe network application system, the comprehensive application layer comprises a diversified service module, a large-scale service module and an industrialized service module, wherein,
the diversified service module comprises wireless intelligent equipment and a fixed terminal and is used for providing diversified pipe network information services, and the wireless intelligent equipment is accessed to the internet through a mobile communication network to obtain services and support;
the large-scale service module is accessed to a management and control network related to the pipe network industry through a network switch and a gateway;
the industrial service module is accessed to a traditional professional pipeline Distributed Control System (DCS) and a professional pipeline production scheduling System (SCADA) related system through a network switch and a gateway; the chain application service technology of the industrial service module comprises industrial data platforms of planning, examining and approving, bidding, purchasing, production, construction, management, maintenance and the like of a pipe network system, and can cover all service links of the pipe network system.
In the intelligent pipe network application system, the pipe network comprises a drainage pipe network, the pipe network wireless/wired sensor comprises a plurality of water quality pollutant sensors arranged at different water quality monitoring points of the drainage pipe network, and the water quality pollutant sensors are used for detecting pollutant concentration data of the different water quality monitoring points of the drainage pipe network;
when the comprehensive application layer monitors the rain and sewage confluence of the water pipe network, the pollutant concentration data of different water quality monitoring points of the water pipe network are led into the geographic information system of the GIS server to obtain a pollutant distribution map, the geographic coordinates of the water pipe network are led into the geographic information system of the GIS server to obtain the water pipe network distribution map, and the pollutant distribution map is displayed on the water pipe network distribution map in a superposed mode to establish a pollution statistical model of the water pipe network.
In the intelligent pipe network application system, the comprehensive application layer is further used for obtaining the maximum pollutant concentration of the upstream node and the occurrence time of the maximum pollutant concentration according to the linear rule of the node relation tree when the pollutant concentration data is monitored to exceed the preset pollutant standard, and positioning the pollution source in the drainage pipe network according to the maximum pollutant concentration of the upstream node and the occurrence time of the maximum pollutant concentration.
In the intelligent pipe network application system, the pipe network comprises a drainage pipe network and a pump station, the pipe network wireless/wired sensor comprises a plurality of water pressure sensors arranged at different water pressure monitoring points of the drainage pipe network and the pump station, and the water pressure sensors are used for detecting water pressure data of the different water pressure monitoring points of the drainage pipe network and the pump station;
when the comprehensive application layer carries out drainage scheduling monitoring, water pressure data of different water pressure monitoring points of a drainage pipe network and a pump station are guided into the geographic information system of the GIS server to obtain a water pressure distribution diagram, geographic coordinates of the drainage pipe network and the pump station are guided into the geographic information system of the GIS server to obtain the drainage pipe network and the pump station distribution diagram, and the water pressure distribution diagram is displayed on the drainage pipe network and the pump station distribution diagram in a superposed mode to establish a water pressure statistical model of the drainage pipe network and the pump station.
In the intelligent pipe network application system, the comprehensive application layer is further used for obtaining the maximum water pressure of the upstream node and the occurrence time of the maximum water pressure according to the linear rule of the node relation tree when the monitored water pressure data exceeds the preset water pressure standard, and positioning the blocking point of the drainage pipe network or the pump station according to the maximum water pressure of the upstream node and the occurrence time of the maximum water pressure.
In the intelligent pipe network application system, the pipe network comprises a plurality of inspection wells, the pipe network wireless/wired sensor comprises a plurality of well lid positioning sensors arranged on the well lids of different inspection wells, and the well lid positioning sensors are used for detecting well lid positioning data of different well lids;
and when the comprehensive application layer carries out emergency disaster early warning, if the well lid of the specific inspection well is judged to be displaced according to the well lid positioning data, the geographic position of the well lid of the specific inspection well is determined according to the geographic information system of the GIS server, and an early warning signal is issued.
In the intelligent pipe network application system, the pipe network wireless/wired sensor comprises a plurality of harmful gas sensors arranged on different gas monitoring points of the pipe network, and the harmful gas sensors are used for detecting harmful gas data of the different gas monitoring points;
when the comprehensive application layer carries out early warning of sudden disasters, if the specific monitoring points of the pipe network are judged to have harmful gas leakage according to harmful gas data, the geographical positions of the specific gas monitoring points are determined according to the geographical information system of the GIS server, and early warning signals are issued.
In the intelligent pipe network application system, the pipe network wireless/wired sensor comprises a plurality of water pressure sensors and a plurality of flow sensors which are arranged on different pressure flow monitoring points of the pipe network, and the water pressure sensors and the flow sensors are respectively used for detecting water pressure data and flow data of the different pressure flow monitoring points of the pipe network;
when the comprehensive application layer carries out simulation of a pipe network, a static transient simulation model is established according to water pressure data and flow data of different pressure flow monitoring points at a specific historical moment; establishing a static steady-state simulation model according to water pressure data and flow data of different pressure flow monitoring points in a specific historical time period; and establishing a dynamic transient simulation model according to the water pressure data and the flow data of different pressure flow monitoring points at the current moment.
In the intelligent pipe network application system, the fixing device comprises a mounting sleeve which is fixedly connected with a pipeline and is used for detachably fixing a wireless/wired sensor of a pipe network, the mounting sleeve extends upwards to the ground surface from the pipeline, and the upper end of the mounting sleeve is provided with a ground surface connecting mechanism for accommodating a ground node and a power supply; the lower tip is equipped with and is used for pipe network wireless/wired sensor to dismantle the fixed activity quick-operation joint in the installation cover, activity quick-operation joint is connected with the stay wire and the flexible mounting pull rod that are used for activity quick-operation joint to connect or dismantle, stay wire and flexible mounting pull rod upwards extend to earth's surface coupling mechanism.
The invention also constructs a realization method of the intelligent pipe network application system, and the intelligent pipe network system comprises the following steps: the application method comprises a perception identification layer, a network construction layer, a management service layer and a comprehensive application layer, and comprises the following steps:
an automatic information generation unit and a manual information generation unit in the perception identification layer generate information of the intelligent pipe network;
the remote node and the heterogeneous network in the network construction layer transmit information of the intelligent pipe network;
a data protection module, a data storage module, a data retrieval module and a data organization module in the management service layer process information of the intelligent pipe network;
and the comprehensive application layer interconnects the smart pipe network with public network terminals, professional pipeline monitoring systems and data platforms, and systems in the related production and application fields of digital cities, and realizes information integration.
According to the technical scheme, a perception identification layer detects data of different monitoring points of a pipe network in real time to generate information of the intelligent pipe network, a network construction layer transmits the information of the intelligent pipe network, a data protection module, a data storage module, a data retrieval module and a data organization module in a management service layer process the information of the intelligent pipe network, and a comprehensive application layer is used for interconnecting the intelligent pipe network with various public network terminals, a professional pipeline monitoring system, a data platform and systems in digital city related production and application fields. Therefore, the intelligent pipe network application system is convenient to monitor and manage.
According to the invention, the active sensing information sensing equipment is detachably fixed by adopting the fixing device arranged between the pipeline of the underground pipe network and the ground surface, the fixing device is arranged between the pipeline and the ground surface, the fixing device can fix the active sensing information sensing equipment on the pipeline for detecting information in the pipeline, and the active sensing information sensing equipment can be detached and maintained on the ground directly without digging soil, so that a novel underground equipment maintenance method is realized, the ground operation is very convenient, the maintenance time is saved, the construction is simplified, and the waste of manpower and material resources is reduced.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
FIG. 1 is a logic structure diagram of a first embodiment of the intelligent pipe network application system of the present invention;
FIG. 2 is a schematic diagram of a second embodiment of the intelligent pipe network application system of the present invention;
FIG. 3 is a flowchart of a first embodiment of a method for implementing the intelligent pipe network application system of the present invention;
FIG. 4 is a schematic view of a sensor mounting structure of the intelligent pipe network according to the present invention;
fig. 5 is a partially enlarged view of fig. 4.
Detailed Description
Fig. 1 is a logic structure diagram of an embodiment of an intelligent pipe network application system according to the present invention, which includes a sensing identification layer, a network construction layer, a management service layer, and a comprehensive application layer according to information generation, transmission, processing, and application.
The perception identification layer is an information generation unit of the intelligent pipe network and comprises an automatic information generation unit and a manual information generation unit, wherein the automatic information generation unit comprises an active perception information sensing device and a passive perception information sensing device, and the automatic information generation unit is connected with ground nodes with communication capacity, so that key nodes of the pipe network become network terminals which can be independently addressed. The artificial information generating unit comprises mobile intelligent equipment which is used for manually generating pipe network information on site and is accessed through a heterogeneous network in a mobile mode. The perception identification layer is mainly used for detecting static data and dynamic data of different monitoring points of a pipe network and issuing detection information of the pipe network in an automatic information generation mode and an artificial information generation mode, wherein the pipe network comprises a water supply pipe network, a drainage pipe network, a gas pipe network, a pump station, an inspection well and the like. The static data includes geographic coordinates, and may further include: buried depth, material, specification, pressure, construction age, ownership unit, name of responsible person, contact way and the like. The dynamic data includes water pressure, flow, water level, harmful gas concentration, water quality pollutant concentration, etc.
The network construction layer is an information transmission unit of the intelligent pipe network and comprises a remote node and a heterogeneous network. The network construction layer provides network access functions for various network terminals. The network construction layer is used for collecting and processing the detection information of the pipe network, and then transmitting the detection information of the pipe network to the management service layer in a wireless mode or a wired mode of 3G/4G/WIFI.
The management service layer is an information processing unit of the intelligent pipe network and comprises a data protection module, a data storage module, a data retrieval module and a data organization module, and the data protection module comprises a gateway; the heterogeneous networks of the network construction layer are interconnected through gateways of the data protection module of the management service layer. The management service layer is used for protecting, storing, organizing and retrieving the received detection information of the pipe network.
The comprehensive application layer is an information application unit of the intelligent pipe network and comprises a diversified service module, a large-scale service module and an industrialized service module. The comprehensive application layer is used for interconnecting the intelligent pipe network with various public network terminals, professional pipeline monitoring systems, data platforms and systems in the related production and application fields of digital cities. The comprehensive application layer carries out pipe network rain and sewage confluence monitoring, drainage scheduling monitoring, sudden disaster early warning or pipe network analog simulation and the like according to the detection information of the pipe network stored in the management service layer so as to build intelligent upper-layer industrial application, including services such as scale and industrialization, and the industrialization service further includes chain service. They form a generalized relationship. It should be noted that the above-described connection is not limited to a wired connection, and may be various wireless connections.
Referring to fig. 2, in the sensing identification layer, the active sensing information sensing device of the automatic information generation unit includes a pipe network wireless/wired sensor, a ground node, and a power supply. The remote node is connected with the ground node in a wired or wireless mode to form a pipe network sensor network. The wireless/wired sensor of the pipe network is used for detecting dynamic data of corresponding monitoring points of the pipe network in real time, and the wireless/wired sensor of the pipe network can comprise a water pressure sensor, a flow sensor, a temperature and humidity sensor, a vibration sensor, a gas pressure sensor, a harmful gas sensor, a water quality pollutant sensor, a well lid positioning sensor and/or a camera. The camera captures videos of a monitored area, such as videos of water flow, water quality, water level and the like under the monitored area. The passive sensing information sensing device of the automatic information generation unit includes an information tag and an information tag reading device. The information tag may include a plurality of RFID (Radio Frequency identification) tags disposed at different monitoring points of the network. The information tag reading apparatus may include a plurality of RFID readers. The RFID tag is written with static data of corresponding monitoring points of the pipe network in advance, and the static data are only written in during pipe network construction or transformation and are kept unchanged at ordinary times. The RFID reader is used to read the static data written in by the corresponding RFID tag, and certainly, the pipe network wireless/wired sensor can also write the dynamic data in the corresponding RFID tag after detecting the dynamic data, and at this time, the RFID reader can simultaneously read the static data and the dynamic data. And the mobile intelligent equipment intelligent terminal in the artificial information generation unit is used for directly reading the inspection result of the wireless/wired sensor of the pipe network on site and inputting the inspection result into the intelligent terminal for the inspection and correction of dynamic data during artificial inspection.
As shown in fig. 4 and 5, the active sensing information sensing device is detachably fixed by a fixing device disposed between the pipeline of the underground pipe network and the ground surface.
Fixing device include with pipeline fixed connection be used for that the wireless wired sensor of pipe network can dismantle fixed installation cover 3, installation cover 3 is upwards extended to the earth's surface by pipeline 1, the upper end of installation cover 3 is equipped with the earth's surface coupling mechanism who is used for holding ground node and power.
The installation sleeve 3 is of a hollow structure, a pipe network wireless/wired sensor 5 is arranged in the installation sleeve 3, a detection hole is formed in the pipeline 1 corresponding to the installation sleeve 3, and the pipe network wireless/wired sensor 5 is inserted into the detection hole to detect information in the pipeline 1. The mounting sleeve 3 is with pipeline 1's multiple mode of fixedly connected with, one kind is that mounting sleeve 3 snap-on is on pipeline 1, but because mounting sleeve 3 has certain length, the installation is inconvenient, consequently, can also adopt the mode of segmentation connection, corresponds the inspection hole promptly on pipeline 1 and is provided with mount pad 2, and mounting sleeve 3 passes through mount pad 2 to be fixed on pipeline 1. The structure of mount pad 2 also has the multiple, does not limit here, only need can with the installation cover 3 correspond the inspection hole fix on pipeline 1 can, mount pad 2 is the short sleeve pipe in this embodiment, 2 one end welding of mount pad on 1 outer wall of pipeline, 3 cartridges of installation cover are in mount pad 2, tight fit connection or fixed connection between installation cover 3 and the mount pad 2, the tight fit connection can adopt the interference fit mode. The fixed connection can adopt welding, screw connection and other modes.
The utility model discloses a pipe network wireless sensor/wired sensor detection device, including installation cover 3, the tip is equipped with and is used for pipe network wireless/wired sensor 5 to dismantle fixed activity quick-operation joint 6 in the installation cover 3, activity quick-operation joint 6 is including fixing the socket subassembly in installation cover 3, with the sealed axle 11 of inserting of dismantling the grafting of socket subassembly, 11 end fixing pipe network wireless/wired sensor 5 of inserting, insert the axle 11 and peg graft in the socket subassembly after locking, pipe network wireless/wired sensor 5 inserts in the detection hole of pipeline 1.
The socket component can be fixed on the inner wall of the mounting sleeve 3 directly or on the outer wall of the pipeline 1. The socket assembly comprises a socket 10 and a clamping sleeve 12, wherein the clamping sleeve 12 is sleeved outside the socket 10, and a plug shaft 11 is inserted in the socket 10. A snap spring 15 and a spring 17 are sleeved between the socket 10 and the ferrule 12, and a nut 18 is screwed on the socket 10 to limit the spring 17. A locking steel ball 16 is arranged between the socket 10 and the insertion shaft 11, and a trapezoidal groove is formed on the outer wall of the corresponding insertion shaft 11. The socket 10 and the insertion shaft 11 are sealed by at least one of a gasket 13 and a packing 14.
The inserting shaft 11 is of a hollow structure, an inserting shaft cavity which is communicated with the inserting shaft is arranged in the inserting shaft, and a power line and a communication line of the pipe network wireless/wired sensor 5 penetrate through the inserting shaft cavity.
The movable quick connector 6 is connected with a pull wire 8 and a flexible installation pull rod 9 which are used for connecting or disassembling the movable quick connector 6, and the pull wire 8 and the flexible installation pull rod 9 extend upwards to the ground surface connecting mechanism.
The lower end of the stay wire 8 is fixed on the cutting sleeve 12, and the upper end is limited in the ground surface connecting mechanism. The pull wires 8 are symmetrically and uniformly arranged, generally two pull wires are arranged, and are respectively fixed at the opposite positions of the end surfaces of the clamping sleeves 12. The inserted shaft 11 is provided with a guide ring 7 which is fixedly connected with a flexible installation pull rod 9. The guide ring 7 is provided with a guide hole, and the pull wire 8 penetrates into the guide hole and is used for guiding the downward inserted shaft 11 so as to be safely and quickly inserted into the socket 10.
The flexible installation pull rod 9 is a hollow flexible bendable structure, the lower end of the flexible installation pull rod is fixedly connected with the inserting shaft 11, and the upper end of the flexible installation pull rod extends into the earth surface connecting mechanism. The hollow cavity of the flexible installation pull rod 9 corresponds to the shaft inserting cavity of the shaft inserting 11, the flexible installation pull rod 9 can be wound by spring steel wires, and the hollow inner cavity of the flexible installation pull rod 9 can be connected with a power line and a communication line of the wireless/wired sensor 5 of the pipe network. The flexible installation pull rod 9 adopts a flexible structure, so that the pull rod can conveniently adjust the insertion of the movable quick connector 6 through deformation.
The ground surface connecting mechanism is used for power supply and communication of the pipe network wireless/wired sensor 5, and ground nodes and a power supply in the active sensing information sensing equipment are arranged in the ground surface connecting mechanism. The structure of the ground surface connecting mechanism is not limited, and only the active sensing information sensing equipment in the ground surface connecting mechanism needs to be protected. Depending on the depth of the pipeline 1, the surface junction box may be connected to a remote node and may be fitted with a separate wind/solar power supply, replaceable batteries or connected to a power supply network.
Referring to fig. 4 and 5, when a wireless/wired pipe network sensor 5 is connected, a ferrule 12 on a socket 10 is pulled upwards to the highest position and fixed in position by a pull wire 8, the head of a plug shaft 11 is connected with the wireless/wired pipe network sensor 5 and is inserted into a detection hole on a pipeline 1 through a flexible mounting pull rod 9 and a mounting sleeve 3, the ferrule 12 can be loosened after the head of the plug shaft 11 is inserted to the bottom, the ferrule 12 recovers to the original position under the action of the elastic force of a spring 17, the ferrule 12 pushes a locking steel ball 16 into a trapezoidal groove on the plug shaft 11 in the process of recovering to the original position, the locking steel ball 16 is fixed in the trapezoidal groove, a self-locking effect is generated, the plug shaft 11 is locked in the socket 10 and cannot fall off, and quick connection is achieved. Meanwhile, the head of the insert shaft 11 is provided with a sealing gasket 13 or a sealing ring 14 to realize axial sealing, so that fluid in the underground pipeline 1 cannot leak outwards. When the wireless/wired sensor 5 of the pipe network needs to be overhauled or replaced, the clamping sleeve 12 on the socket 10 is pulled upwards to the highest position only through the pull wire 8, and then the inserting shaft 11 can be withdrawn from the socket 10.
Regarding the wireless/wired pipe network sensor 5, it should be further noted that, in practical application, different types of the wireless/wired pipe network sensor 5 are selected according to the field environment and the monitoring requirements. When the wireless/wired pipe network sensor 5 is installed, firstly, a detection hole is formed in the design position of a pipeline/inspection well, and a prefabricated fixing seat is connected in a sealing mode. During construction, the mounting sleeve 3 is fixed to the ground surface from the fixing seat, the ground surface connecting mechanism (ground surface junction box) is arranged at the upper end of the mounting sleeve 3, the mounting sleeve 3 has certain strength and can resist deformation caused by soil settlement to a certain extent, for example, a steel-plastic composite pipe is adopted, and even if the mounting sleeve 3 is bent and deformed, the bending in all directions in the pipe can be kept to be close to equal, so that the shape of the pipe can be maintained for a long time. The mounting sleeve 3 is tightly connected with the fixing seat and forms sealing with the peripheral soil. The network wireless/wired sensors 5 can then be installed or replaced inside the pipe wall from the surface junction box through the installation sleeve 3 as needed.
The sensing identification layer detects the environmental data of the pipe network in real time and distributes the environmental data, the distribution mode comprises an automatic information distribution mode and an artificial information distribution mode, the automatic information generation mode mainly depends on an active sensing device and a passive sensing device, the active sensing device comprises a sensor in a wireless communication mode and a sensor in a wired communication mode, the sensors are respectively powered by a ground junction box, and the dynamic data of corresponding monitoring points, such as water pressure, flow, temperature, humidity, harmful gas, water quality (harmful) and video monitoring of the pipe network, are detected in real time. The passive sensing equipment comprises an RFID reader and an RFID label attached to a pipe network, static data of a corresponding monitoring point, such as basic information of coordinates, buried depth, materials, specifications, pressure, construction age, ownership units, names and contact ways of a person in charge, is written in the RFID label in advance, the RFID reader can read the static data written in by the corresponding RFID label and transmit the static data to a management service layer and a comprehensive application layer, so that the pipe network is conveniently monitored and positioned, unified planning, scientific management, search and on-site warning of the pipe network are facilitated, warning can be sent to equipment such as mobile phones of constructors through a wireless technology, and the occurrence of the event of digging up pipelines such as water supply, power supply and gas is avoided. The mode of artifical information issuing mainly relies on intelligent terminal, for example, smart mobile phone, panel computer etc. when artifical patrolling and examining, the inspection result that patrolling and examining personnel will look at the scene is input intelligent terminal to release away through intelligent terminal.
The network construction layer mainly functions to connect the sensing identification layer data to the management service layer for the upper layer service of the intelligent pipe network. The network construction layer utilizes network construction technologies including the internet, a wireless broadband network, a wireless low-speed network, a mobile communication network and the like, or utilizes wireless communication modules of various heterogeneous devices and standard communication protocols to form an 'internet of things' by self. The heterogeneous networks are communicated and interconnected through a gateway, heterogeneous network fusion and a cloud computing communication module. The ubiquitous network is an infrastructure for realizing an intelligent pipe network and provides a high-performance network environment for interconnection and intercommunication of pipe network information. The information acquired by the collector and the sensor is transmitted to the cloud through the internet, the internet of things, the telecommunication network, the broadcasting and television network and the wireless broadband, and calculation, analysis, storage and distribution are completed at the cloud. The heterogeneous network comprises a pipe network sensor network, a mobile communication network, an internet wide area network, a professional pipeline SCADA/DCS network and data platform, public network terminals and other management and control networks related to the pipe network industry, such as an industry portal website, municipal management, a digital city network and the like, which are accessed to a management service layer through a network switch. Information acquired by the sensor, the camera, the RFID reader and the like is transmitted to a cloud end through the internet, the internet of things, a telecommunication network, a broadcasting and television network and a wireless broadband, and calculation, analysis, storage and distribution are completed at the cloud end. In this embodiment, the network build layer includes remote node devices (repeaters), mobile communication network devices, and network switches. The remote node equipment can upload the environmental data detected by the sensor, the RFID reader and the like to the node in real time or asynchronously in a wired or wireless mode, and the remote node equipment plays a role in collecting the environmental data. The mobile communication network equipment mainly receives the environmental data uploaded through the intelligent terminal when the pipe network is manually inspected, the data collection effect is achieved, and meanwhile, the mobile communication network equipment also provides wireless data access service for the comprehensive application layer through mobile communication technologies such as WIFI, GRPS, 3G and 4G. The network switch mainly realizes the processing of packing, dividing, combining and the like of the environment data, establishes a routing path and sends the environment data to the gateway. In addition, a pipe network SCADA/DCS (distributed control systems) server mainly provides pipe network comprehensive environment data subjected to intelligent analysis and processing for a comprehensive application layer.
The management service layer is mainly used for efficiently and reliably organizing large-scale data under the support of high-performance computing and mass storage technologies, and providing an intelligent support platform for upper-layer industrial application, for example, solving the problems of how to store (database and mass storage technologies), how to retrieve (search engine), how to use (data mining and machine learning), how to not be abused (data security and privacy protection), and the like. In this embodiment, the management service layer includes a data retrieval module, a data storage module, a data organization module, and a data protection module. The data storage module comprises a plurality of data storage servers and a GPS clock, and the data storage servers are kept synchronous by the GPS clock. The data retrieval module comprises a WEB server based on WEB, and data retrieval software is loaded in the WEB server. The data organization module comprises a GIS server and an application workstation. The data protection module comprises a gateway and a firewall thereof. And the gateway for data protection is arranged at the front ends of the WEB server and the data storage server, is installed at the front side of the protected server in a mode of combining independent hardware equipment with an encryption and decryption software system, and has the main functions of: (1) the function of a network firewall is realized, and the isolation and the protection of an internal network and an external network are realized; (2) decrypting various types of incoming encrypted data or encrypting various types of data sent from a protected data server.
The WEB server mainly has the functions of providing mixed retrieval, word/sentence/segment retrieval, automatic database-based retrieval and multi-database parallel retrieval for the environment data related to structuralization or unstructured, thereby providing all-round retrieval means and retrieval methods, including various logic combination retrieval, position retrieval, secondary retrieval, progressive retrieval, history retrieval, root of word retrieval, case sensitive retrieval, concept retrieval, sequencing retrieval results according to the relevance and importance degree of retrieval expressions and the like. In addition, the WEB server can use an efficient index compression technology, an index jump type scanning technology, a multi-library parallel retrieval technology, a perfect multi-level Query-CACHE technology, a word and word frequency-based bi-gram algorithm and the like to perform retrieval. The data storage server mainly has a function of storing all environmental data of the pipe network, for example, the advanced database technology including database clustering technology, database real-time backup technology, database data security technology and the like is used for realizing the safe storage and efficient storage of the environmental data of the massive pipe network. The data management application workstation mainly provides GIS service and various data analysis application workstations, such as an expert system workstation and the like.
In the comprehensive application layer, a traditional pipe network production scheduling System (SCADA) and a pipe network Distributed Control System (DCS) are accessed through a network switch and a gateway, and the intelligent upper-layer industrial application is mainly constructed and comprises services such as large-scale and industrialization, and the industrialization services further comprise chain services. They form a generalized relationship. The comprehensive application layer comprises a diversified service module, a large-scale service module and an industrial service module, wherein the diversified service module comprises public network terminals such as wireless intelligent equipment and fixed terminals, and provides diversified pipe network information services, for example, the equipment can perform pipe network rain and sewage confluence monitoring, drainage scheduling monitoring, sudden disaster early warning or pipe network simulation and the like according to the environmental data of a pipe network. The wireless intelligent equipment accesses the internet through a mobile communication network to obtain service and support; the large-scale service module is mainly accessed to management and control networks related to the pipe network industry, such as industry portal websites, municipal administration, digital city networks and the like through a network switch and a gateway; the industrial service module is accessed to related systems such as a traditional professional pipeline Distributed Control System (DCS), a professional pipeline production scheduling System (SCADA) and the like through a network switch and a gateway, and a chain application service technology of the industrial service module comprises industrial data platforms such as planning, examining and approving, bidding, purchasing, production, construction, management, maintenance and the like of a pipe network system, and can cover all service links of the pipe network system.
When the comprehensive application layer monitors the rain and sewage confluence of the pipe network, firstly, a plurality of water quality pollutant sensors of different water quality monitoring points of the drainage pipe network transmit the detected pollutant concentration data to the management service layer, and the comprehensive application layer calls out the pollutant concentration data of the different water quality monitoring points of the drainage pipe network from the management service layer. And then, importing the pollutant concentration data of different water quality monitoring points of the drainage pipe network into a geographic information system of a GIS server to obtain a pollutant distribution diagram, importing geographic coordinates of the drainage pipe network into the geographic information system of the GIS server to obtain the drainage pipe network distribution diagram, overlapping and displaying the pollutant distribution diagram on the drainage pipe network distribution diagram, and establishing a pollution statistical model of the drainage pipe network through integration and analysis. Moreover, a pollution statistical model of the drainage pipe network under different conditions can be established according to historical data stored in the management service layer, so that the long-term rain and sewage diversion condition of the corresponding drainage area can be monitored. In addition, in an emergency, when the comprehensive application layer monitors that the pollutant concentration data exceeds the preset pollutant standard, the maximum pollutant concentration of the upstream node and the occurrence time of the maximum pollutant concentration are obtained according to the linear rule of the node relation tree, and the pollutant injection node is predicted according to the maximum pollutant concentration of the upstream node and the occurrence time of the maximum pollutant concentration, so that the pollution source in the drainage pipe network is quickly and accurately positioned.
When the comprehensive application layer carries out drainage scheduling monitoring, firstly, a plurality of water pressure sensors of different water pressure monitoring points of the drainage pipe network and the pump station transmit detected water pressure data to the management service layer, and the comprehensive application layer calls out the water pressure data of the different water pressure monitoring points of the drainage pipe network and the pump station from the management service layer. And then, leading water pressure data of different water pressure monitoring points of the drainage pipe network and the pump station into a geographic information system of a GIS server to obtain a water pressure distribution diagram, leading geographic coordinates of the drainage pipe network and the pump station into the geographic information system of the GIS server to obtain the drainage pipe network and the pump station distribution diagram, and overlapping and displaying the water pressure distribution diagram on the drainage pipe network and the pump station distribution diagram to establish a water pressure statistical model of the drainage pipe network and the pump station. And moreover, a water pressure statistical model of the drainage pipe network and the pump station under different conditions can be established according to historical data stored in the management service layer, so that the long-term drainage condition of the corresponding drainage area is monitored. In addition, when the comprehensive application layer monitors that the water pressure data exceeds a water pressure preset standard, the maximum water pressure of the upstream node and the occurrence time of the maximum water pressure are obtained according to the linear rule of the node relation tree, and a blocking point of a drainage pipe network or a pump station is positioned according to the maximum water pressure of the upstream node and the occurrence time of the maximum water pressure.
Furthermore, based on the water pressure data of different water pressure monitoring points of the drainage pipe network and the pump station, regional scale index clustering is carried out, reasonable partitioning is carried out on the urban flood region, and the block scale is controlled to enable the block scale to meet the system operation requirement. Meanwhile, the model set type, the model structure and the model parameters are determined according to the water pressure statistical models of the drainage pipe network and the pump station under different conditions, and finally the model parameters are dynamically corrected on line, so that the long-term flood discharge condition of the corresponding drainage area is monitored, and urban waterlogging early warning and flood discharge planning are carried out based on computer graphics and virtual reality technology. The water pressure statistics prediction model of usable drainage pipe network under emergency calculates the pipeline depth of water fast, and the network interchanger interface through information system and the DCS system communication of drainage pumping station, the automatic operation of reasonable control drainage system, all water storage equipment of make full use of system avoid taking place the flood in a specific region and spill over and remaining water storage system is idle, finally reach regional flood and spill over the minimizing.
Synthesize the application layer when carrying out the calamity early warning of bursting, for example well lid aversion early warning, at first, well lid positioning sensor on the well lid of different inspection wells conveys the well lid locating data that detect to the management service layer, synthesize the application layer and call out the well lid locating data of different well lids from the management service layer, if when the well lid that judges specific inspection well takes place the aversion according to well lid locating data, confirm the geographical position of the well lid of specific inspection well according to the geographic information system of GIS server, and the early warning signal of concurrent distribution. And for example, the harmful gas leakage early warning is implemented by firstly transmitting the detected harmful gas data to a management service layer by a plurality of harmful gas sensors on different gas monitoring points, calling the harmful gas data of the different gas monitoring points from the management service layer by a comprehensive application layer, determining the geographical position of the specific gas monitoring point according to a geographic information system of a GIS (geographic information system) server and distributing an early warning signal when judging that the specific monitoring point of the pipe network has the harmful gas leakage according to the harmful gas data.
When the comprehensive application layer carries out simulation of a pipe network, firstly, water pressure sensors and flow sensors on different pressure flow monitoring points of the pipe network transmit detected water pressure data and flow data to the management service layer, and the comprehensive application layer calls the water pressure data and the flow data of the different pressure flow monitoring points from the management service layer. The integrated application layer can then build a simulation model based on these data, with the purpose of understanding the operation of the real system under different conditions and determining possible changes to the system after adding or removing certain conditions. According to the difference of the data adopted by the simulation model, the simulation model can be divided into the following three types: (1) the static transient simulation model is established according to water pressure data and flow data of different pressure flow monitoring points at a specific historical moment, and is generally used for pipe network planning and engineering design departments to carry out pipe network planning design, and pipe network scheduling and operating departments to analyze a system with low pressure level, large scale and no real-time monitoring data. (2) The static steady-state simulation model is established according to water pressure data and flow data of different pressure flow monitoring points in a specific historical time period, and can be used for offline analysis of specific tasks in a certain time period by a pipe network scheduling operation and pipe network planning department, and the actual state and relatively reasonable abnormal state of various operations are simulated. Meanwhile, the reaction processing capacity when risks appear can be improved by simulating conditions such as operation, accident states and the like of a system in training, and knowledge which can be obtained only by long-term experience accumulation in the past can be provided in a short time. (3) The dynamic transient online simulation model is established according to water pressure data and flow data of different pressure flow monitoring points at the current moment, can be used for carrying out online real-time pipe network working condition analysis, can provide pipe network operation prospect prediction which is needed most in scheduling operation and is lacked by a monitoring system, and enhances the safety and the efficiency of pipe network scheduling.
Fig. 3 is a flowchart of a first embodiment of an application method of the intelligent pipe network application system of the present invention, the application method of the intelligent pipe network system includes:
an automatic information generation unit and a manual information generation unit in the perception identification layer generate information of the intelligent pipe network;
the remote node and the heterogeneous network in the network construction layer transmit information of the intelligent pipe network;
a data protection module, a data storage module, a data retrieval module and a data organization module in the management service layer process information of the intelligent pipe network;
and the comprehensive application layer interconnects the smart pipe network with public network terminals, professional pipeline monitoring systems and data platforms, and systems in the related production and application fields of digital cities, and realizes information integration.
Finally, it should be noted that the preferred scheme applied in the intelligent pipe network application system is also applicable to the application method of the intelligent pipe network system, and details are not described herein.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.

Claims (11)

1. The utility model provides an wisdom pipe network application system which characterized in that, this wisdom pipe network system includes: a perception identification layer, a network construction layer, a management service layer and an integrated application layer, wherein,
the perception identification layer is an information generation unit of the intelligent pipe network and comprises an automatic information generation unit and a manual information generation unit; wherein,
the automatic information generation unit comprises active sensing information sensing equipment and passive sensing information sensing equipment, and is connected with ground nodes with communication capacity, so that key nodes of a pipe network become network terminals which can be independently addressed;
the artificial information generating unit comprises mobile intelligent equipment and is used for manually generating pipe network information on site and movably accessing the pipe network information through a heterogeneous network;
the network construction layer is an information transmission unit of the intelligent pipe network and comprises a remote node and a heterogeneous network; the network construction layer provides a network access function for the network terminal;
the management service layer is an information processing unit of the intelligent pipe network and comprises a data protection module, a data storage module, a data retrieval module and a data organization module, and the data protection module comprises a gateway; the heterogeneous networks of the network construction layer are communicated and interconnected through the gateway of the data protection module;
the comprehensive application layer is an information application unit of the intelligent pipe network; the comprehensive application layer is used for interconnecting the smart pipe network with the public network terminal, the professional pipeline monitoring system with the data platform and the system in the related production and application fields of the digital city and realizing information integration;
the active sensing information sensing equipment is detachably fixed through a fixing device arranged between a pipeline of an underground pipe network and the ground surface;
in the automatic information generating unit,
the active sensing information sensing equipment comprises a pipe network wireless/wired sensor, a ground node and a power supply; the remote node is connected with the ground node in a wired or wireless mode to form a pipe network sensor network;
the passive perception information sensing equipment comprises an information label and information label reading equipment;
the fixing device comprises a mounting sleeve which is fixedly connected with the pipeline and is used for detachably fixing the wireless/wired sensor of the pipe network, the mounting sleeve extends upwards to the ground surface from the pipeline, and the upper end of the mounting sleeve is provided with a ground surface connecting mechanism used for accommodating a ground node and a power supply; the lower tip is equipped with and is used for pipe network wireless/wired sensor to dismantle the fixed activity quick-operation joint in the installation cover, activity quick-operation joint is connected with acting as go-between and flexible mounting pull rod, acting as go-between and flexible mounting pull rod upwards extend to earth's surface coupling mechanism, and are used for connecting or dismantling activity quick-operation joint.
2. The intelligent pipe network application system of claim 1, wherein in the network construction layer, the heterogeneous network comprises a pipe network sensor network, a mobile communication network, an internet wide area network, a professional pipeline SCADA/DCS network and data platform, and a public network terminal.
3. The intelligent pipe network application system of claim 2, wherein, in the management service layer,
the data storage module comprises a plurality of data storage servers and a GPS clock, and the data storage servers are kept synchronous by relying on the GPS clock;
the data retrieval module comprises a WEB server based on WEB, and data retrieval software is loaded in the WEB server;
the data organization module comprises a GIS server and an application workstation;
the data protection module also includes a firewall for the gateway.
4. The intelligent pipe network application system of claim 3, wherein the integrated application layer comprises a diversified service module, a scaled service module and an industrialized service module, wherein,
the diversified service module comprises wireless intelligent equipment and a fixed terminal and is used for providing diversified pipe network information services, and the wireless intelligent equipment is accessed to the internet through a mobile communication network to obtain services and support;
the large-scale service module is accessed to a management and control network related to the pipe network industry through a network switch and a gateway;
the industrial service module is accessed to a traditional professional pipeline distributed control system and a professional pipeline production scheduling system related system through a network switch and a gateway.
5. The intelligent pipe network application system according to claim 4, wherein the pipe network comprises a drainage pipe network, the wireless/wired pipe network sensors comprise a plurality of water quality pollutant sensors arranged at different water quality monitoring points of the drainage pipe network, and the water quality pollutant sensors are used for detecting pollutant concentration data of the different water quality monitoring points of the drainage pipe network;
when the comprehensive application layer monitors the rain and sewage confluence of the water pipe network, the pollutant concentration data of different water quality monitoring points of the water pipe network are led into the geographic information system of the GIS server to obtain a pollutant distribution map, the geographic coordinates of the water pipe network are led into the geographic information system of the GIS server to obtain the water pipe network distribution map, and the pollutant distribution map is displayed on the water pipe network distribution map in a superposed mode to establish a pollution statistical model of the water pipe network.
6. The intelligent pipe network application system of claim 5, wherein the integrated application layer is further configured to obtain the maximum pollutant concentration of the upstream node and the occurrence time of the maximum pollutant concentration according to a linear rule of the node relationship tree when the monitored pollutant concentration data exceeds the preset pollutant standard, and locate the pollution source in the drainage pipe network according to the maximum pollutant concentration of the upstream node and the occurrence time of the maximum pollutant concentration.
7. The intelligent pipe network application system according to claim 4, wherein the pipe network comprises a drainage pipe network and a pump station, the wireless/wired pipe network sensor comprises a plurality of water pressure sensors arranged at different water pressure monitoring points of the drainage pipe network and the pump station, and the water pressure sensors are used for detecting water pressure data of the different water pressure monitoring points of the drainage pipe network and the pump station;
when the comprehensive application layer carries out drainage scheduling monitoring, water pressure data of different water pressure monitoring points of a drainage pipe network and a pump station are guided into the geographic information system of the GIS server to obtain a water pressure distribution diagram, geographic coordinates of the drainage pipe network and the pump station are guided into the geographic information system of the GIS server to obtain the drainage pipe network and the pump station distribution diagram, and the water pressure distribution diagram is displayed on the drainage pipe network and the pump station distribution diagram in a superposed mode to establish a water pressure statistical model of the drainage pipe network and the pump station.
8. The intelligent pipe network application system of claim 7, wherein the comprehensive application layer is further configured to obtain the maximum water pressure of the upstream node and the occurrence time of the maximum water pressure according to a linear rule of the node relation tree when the monitored water pressure data exceeds a preset water pressure standard, and locate a blockage point of the drainage pipe network or the pump station according to the maximum water pressure of the upstream node and the occurrence time of the maximum water pressure.
9. The intelligent pipe network application system of claim 4, wherein the pipe network comprises a plurality of inspection wells, and the pipe network wireless/wired sensor comprises a plurality of well lid positioning sensors disposed on the well lids of different inspection wells, the well lid positioning sensors being configured to detect well lid positioning data of different well lids;
and when the comprehensive application layer carries out emergency disaster early warning, if the well lid of the specific inspection well is judged to be displaced according to the well lid positioning data, the geographic position of the well lid of the specific inspection well is determined according to the geographic information system of the GIS server, and an early warning signal is issued.
10. The intelligent pipe network application system according to claim 4, wherein the wireless/wired pipe network sensor comprises a plurality of harmful gas sensors disposed at different gas monitoring points of the pipe network, and the harmful gas sensors are used for detecting harmful gas data of the different gas monitoring points;
when the comprehensive application layer carries out early warning of sudden disasters, if the specific monitoring points of the pipe network are judged to have harmful gas leakage according to harmful gas data, the geographical positions of the specific gas monitoring points are determined according to the geographical information system of the GIS server, and early warning signals are issued.
11. The intelligent pipe network application system of claim 4, wherein the wireless/wired pipe network sensors comprise a plurality of water pressure sensors and a plurality of flow sensors arranged at different pressure flow monitoring points of the pipe network, and the water pressure sensors and the flow sensors are respectively used for detecting water pressure data and flow data of the different pressure flow monitoring points of the pipe network;
when the comprehensive application layer carries out simulation of a pipe network, a static transient simulation model is established according to water pressure data and flow data of different pressure flow monitoring points at a specific historical moment; establishing a static steady-state simulation model according to water pressure data and flow data of different pressure flow monitoring points in a specific historical time period; and establishing a dynamic transient simulation model according to the water pressure data and the flow data of different pressure flow monitoring points at the current moment.
CN201310598341.9A 2013-11-22 2013-11-22 Wisdom pipe network application system and implementation method Active CN103595813B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310598341.9A CN103595813B (en) 2013-11-22 2013-11-22 Wisdom pipe network application system and implementation method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310598341.9A CN103595813B (en) 2013-11-22 2013-11-22 Wisdom pipe network application system and implementation method

Publications (2)

Publication Number Publication Date
CN103595813A CN103595813A (en) 2014-02-19
CN103595813B true CN103595813B (en) 2017-01-04

Family

ID=50085791

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201310598341.9A Active CN103595813B (en) 2013-11-22 2013-11-22 Wisdom pipe network application system and implementation method

Country Status (1)

Country Link
CN (1) CN103595813B (en)

Families Citing this family (43)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104571020A (en) * 2014-12-11 2015-04-29 杭州银江环保科技有限公司 One-station service platform for controlling five kinds of water together
CN105005839A (en) * 2015-01-07 2015-10-28 泰华智慧产业集团股份有限公司 GPS monitoring system for urban management and operating method of system
CN104809654A (en) * 2015-03-06 2015-07-29 杭州银江环保科技有限公司 Five-water co-treatment one-stop service system
CN106482785A (en) * 2016-10-17 2017-03-08 上海瀚所信息技术有限公司 A kind of pipe gallery monitoring and warning system
CN107942865A (en) * 2017-11-29 2018-04-20 胜利阀门有限公司 One kind is used for valve underground pipe network Internet of Things intelligence control system
CN108090574A (en) * 2018-01-05 2018-05-29 中邮建技术有限公司 A kind of smart city Information Management System based on augmented reality
CN110365625B (en) * 2018-04-09 2021-11-26 国家计算机网络与信息安全管理中心 Internet of things security detection method and device and storage medium
CN108827380A (en) * 2018-06-05 2018-11-16 天津大学 A kind of Underground Space Environment monitoring network that convenient battery changes the outfit
CN108519128A (en) * 2018-06-05 2018-09-11 天津大学 The environment network of mercury ion content is detected based on genetic chip and gold nano grain
CN108444546A (en) * 2018-06-05 2018-08-24 天津大学 The environment network of silver ion content is detected based on genetic chip and silver nano-grain
CN109000715A (en) * 2018-06-05 2018-12-14 天津大学 A kind of Underground Space Environment monitoring network that automatic battery changes the outfit
CN108444545A (en) * 2018-06-05 2018-08-24 天津大学 The environment network of silver ion content is detected based on aldehyde radical chip and silver nano-grain
CN108444541A (en) * 2018-06-05 2018-08-24 天津大学 The environment network of silver ion content is detected based on aldehyde radical chip and gold nano grain
CN109029550A (en) * 2018-06-05 2018-12-18 天津大学 A kind of Underground Space Environment monitoring network
CN108444540A (en) * 2018-06-05 2018-08-24 天津大学 The environment network of mercury ion content is detected based on aldehyde radical chip and silver nano-grain
CN108507623A (en) * 2018-06-05 2018-09-07 天津大学 The environment network of silver ion content is detected based on gold nano grain
CN108444543A (en) * 2018-06-05 2018-08-24 天津大学 The environment network of mercury ion content is detected based on gold silver nanometer particle
CN108444538A (en) * 2018-06-05 2018-08-24 天津大学 The environment network of mercury ion content is detected based on aldehyde radical chip and gold nano grain
CN108444547A (en) * 2018-06-05 2018-08-24 天津大学 The environment network of mercury ion content is detected based on genetic chip and silver nano-grain
CN108646746A (en) * 2018-06-05 2018-10-12 天津大学 The Underground Space Environment monitoring network that a kind of wireless charging and automatic battery change the outfit
CN108444542A (en) * 2018-06-05 2018-08-24 天津大学 The environment network of silver ion content is detected based on gold silver nanometer particle
CN108444539A (en) * 2018-06-05 2018-08-24 天津大学 The environment network of silver ion content is detected based on silver nano-grain
CN108827379A (en) * 2018-06-05 2018-11-16 天津大学 A kind of Underground Space Environment monitoring network using wireless charging technology
CN108507624A (en) * 2018-06-05 2018-09-07 天津大学 The environment network of silver ion content is detected based on genetic chip and gold nano grain
CN108444544A (en) * 2018-06-05 2018-08-24 天津大学 The environment network of mercury ion content is detected based on silver nano-grain
CN108844576A (en) * 2018-06-05 2018-11-20 天津大学 It is a kind of to be changed the outfit the Underground Space Environment monitoring network of battery by mechanical arm
CN108444548A (en) * 2018-06-05 2018-08-24 天津大学 The environment network of mercury ion content is detected based on gold nano grain
CN109709268B (en) * 2018-12-20 2021-06-25 深汕特别合作区智慧城市研究院有限公司 Use wisdom pipe network data transmission system of wisdom pole as little basic station carrier of 5G
CN109632005A (en) * 2019-01-10 2019-04-16 义乌市吉龙科技有限公司 A kind of long-pending streaming system
CN109858126B (en) * 2019-01-23 2020-01-24 北京市燃气集团有限责任公司 Urban gas pipe network safety monitoring and early warning method and system based on settlement monitoring
CN111127245A (en) * 2019-11-14 2020-05-08 内蒙古大唐国际托克托发电有限责任公司 Wisdom power plant wisdom management and control system
CN111272218A (en) * 2020-01-21 2020-06-12 奥利机械(集团)有限公司 Integrated intelligent pump room management system based on VR environment
CN113311799B (en) * 2021-06-09 2022-10-04 上海电器科学研究所(集团)有限公司 Urban drainage operation scheduling decision system and construction method
CN113269469B (en) * 2021-06-21 2021-12-10 安徽金晥泵业科技股份有限公司 Pipeline remote monitoring system for urban underground drainage
CN113506015A (en) * 2021-07-24 2021-10-15 杭州越歌科技有限公司 Construction method and system of underground pipe network
CN113670376B (en) * 2021-08-04 2022-09-09 广州云硕科技发展有限公司 Smart park environment monitoring method and system based on Internet of things
CN114184751B (en) * 2021-11-11 2023-11-21 深圳市宇驰检测技术股份有限公司 Sectional type pipe network pollutant traceability device and system
CN114327217A (en) * 2021-11-19 2022-04-12 南京征途信息技术有限公司 Method for simplifying configuration of comprehensive background monitoring management system of intelligent station house
CN114663000B (en) * 2022-05-25 2022-09-02 成都普惠道智慧能源科技有限公司 Storage, transportation and intelligent terminal linked LNG management method and Internet of things system
US11935000B2 (en) 2022-05-25 2024-03-19 Chengdu Puhuidao Smart Energy Technology Co., Ltd. Methods and Internet of Things systems for LNG management linked with warehousing, transportation, and smart terminals
CN115685787B (en) * 2023-01-04 2023-02-28 北京云庐科技有限公司 Modeling simulation method, modeling simulation system and medium for urban gas pipe network
CN117927880B (en) * 2024-03-22 2024-05-24 南京南大智慧城市规划设计股份有限公司 Intelligent detection positioning method for pipe network water leakage diagnosis
CN118211840A (en) * 2024-05-22 2024-06-18 中电科大数据研究院有限公司 Regional pipe network safety assessment method and system for intelligent pipe network

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102196251A (en) * 2011-05-24 2011-09-21 中国科学院深圳先进技术研究院 Smart-city intelligent monitoring method and system
CN102663577A (en) * 2012-04-13 2012-09-12 苏州盛世华安智能科技有限公司 Smart city internet of things system based on cloud platform
CN102966086A (en) * 2012-11-26 2013-03-13 广东永基建筑基础有限公司 Multi-bridge static sounding equipment and multi-bridge static sounding test method

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8249804B2 (en) * 2008-08-20 2012-08-21 Mitac International Corporation Systems and methods for smart city search

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102196251A (en) * 2011-05-24 2011-09-21 中国科学院深圳先进技术研究院 Smart-city intelligent monitoring method and system
CN102663577A (en) * 2012-04-13 2012-09-12 苏州盛世华安智能科技有限公司 Smart city internet of things system based on cloud platform
CN102966086A (en) * 2012-11-26 2013-03-13 广东永基建筑基础有限公司 Multi-bridge static sounding equipment and multi-bridge static sounding test method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
《互联网技术在地下管线管理中的应用》;陈佑民;《测绘通报》;20101020;第23页第1、4段,第24-25页,附图1 *

Also Published As

Publication number Publication date
CN103595813A (en) 2014-02-19

Similar Documents

Publication Publication Date Title
CN103595813B (en) Wisdom pipe network application system and implementation method
CN203849605U (en) Smart pipe network
Allen et al. Real‐time in‐network distribution system monitoring to improve operational efficiency
CN111784140A (en) Wisdom water affairs management and control scheduling platform based on internet of things
CN104091286A (en) System for integrated management of production and operation of city pipe network
CN105160593A (en) Power transmission and transformation equipment multidimensional heterogeneous data fusion method and system facing big data
CN105243509A (en) Intelligent water affair system for smart city
CN105425752A (en) Real-time monitoring system of pipe network and working method of same
CN105549557A (en) Real-time dynamic 3D water balance monitoring system of power plant and working method of system
CN202383503U (en) Safety monitoring equipment for underground comprehensive pipe networks
CN112308733A (en) City intelligent management system and method
CN108737496A (en) One kind is grown based on Lora spread spectrum radios away from environmental monitoring system
CN104460609A (en) Method and system for remote monitoring of oil and gas production
CN103985008A (en) Intelligent monitoring system of city underground pipeline
CN106651074A (en) Intelligent underground pipeline management system
Stoianov et al. Sensor networks for monitoring water supply and sewer systems: Lessons from Boston
CN105987283A (en) Cathodic protection remote monitoring device for natural gas pipelines based on an SCAD system
CN109274737B (en) C/S technical architecture system for oil field exploration, development and production
CN201435004Y (en) Safety monitoring device for urban underground integrated pipe network
CN112050092A (en) Water supply pipe network leakage information management system, building method and application
CN115310939A (en) Intelligent water affair informatization management platform based on BIM digital twin
CN113449120B (en) Pipeline safety comprehensive supervision method combining spatial information
CN204178393U (en) A kind of urban pipe network production and operation total management system
CN113592210A (en) Internet of things integrated management platform for water supply non-negative-pressure secondary water supply facility
CN116846954A (en) Intelligent pipe network data system based on digital intelligence integration

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant