CN109255743A - Conserve total management system - Google Patents
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Abstract
It is support that total management system, which is conserved, with huge database, base oneself upon big data, fully absorb the cutting edge technologies such as Internet of Things, GIS-Geographic Information System (GIS), Beidou Navigation System, artificial intelligence, AR/VR/MR, incorporate block chain theory and technology, establish include data acquisition, effectiveness analysis evaluation, mechanical handling of goods and materials and intelligent decision large-scale maintenance integrated information platform, make pipe support fining, logically, it is intelligent.System is multi-level, various dimensions, and architectural framework is broadly divided into sensing layer, thinking layer, presentation layer, expands layer four levels.Sensing layer constructs a ubiquitous perception net by means of technology of Internet of things, carries out status monitoring to facility and data acquire；Thinking layer is pre-processed and is stored to multi-source data；Presentation layer visualizes frastructure state variation by a variety of advanced technologies, forms intuitive specific, the maintenance total management system of data-driven；Expanding layer is the prospect that system expands application.
Description
The urgent need that total management system is supported from road pipe is conserved, is support with huge database, based on
Big data fully absorbs the forward positions such as Internet of Things, GIS-Geographic Information System (GIS), Beidou Navigation System, artificial intelligence, AR/VR/MR
Technology incorporates block chain theory and technology, and establishing one includes data acquisition, effectiveness analysis evaluation, mechanical handling of goods and materials and intelligence
Can decision large-scale maintenance integrated information platform, truly accomplish pipe support work fining, logically, it is intelligent.Newly
It is multi-level, various dimensions that generation road surface, which manages and supports platform, and architectural framework is broadly divided into sensing layer, thinking layer, presentation layer and opens up
Open up layer four levels.
The ubiquitous perception net that sensing layer is made of data acquisition equipments such as various sensors, intelligent terminals is responsible for
To the characteristic perception of physical world.
Thinking layer mainly includes the data and decision of the intelligence such as mobile communications network, Intelligent data center, cloud computing platform
The functions such as data transmission, storage and analysis decision are responsible at center；
Presentation layer is that the visualization of management system is presented, by rich and varied data presentation mode, by perception net acquisition
, the high dimensional data that thinking layer analysis generates, expressed with most intuitive way, facilitate pipe and support personnel to support status to pipe and have
More deep understanding, and make optimal decision-making.
Expand layer be by applying the technologies such as internet, block chain, ArcGIS, formed road network grade and interregional interconnection,
Intercommunication is mutually enjoyed, and is extended to all municipal administrations, building, public utilities and transboundary used.
Ubiquitous perception net
Mainly by means of technology of Internet of things, a ubiquitous perception net is constructed.
Internet of Things is also Sensor Network, is a kind of network of " object object is connected ", is to fill such as infrared inductor, radio frequency identification
Set the huge network for combining and being formed with internet with the various sensing equipments such as Beidou Navigation System.By fingerprint recognition and
Object electronic tag or two dimensional code are assigned to carry out the identification and object identification of people, and by related middleware and wireless network into
Row connection, to realize people and object, the interconnection of object and object and reply.According to set related protocol, it is logical to carry out a large amount of information
It interrogates and exchanges, to realize intelligentized identification, positioning, supervision and management.
It is supported in work in daily pipe, the sensing layer in management system is frequently not to be set in terms of data acquisition using single
It is standby, but plurality of devices cooperative cooperating, content is supported for different pipes, uses different instrument and equipments respectively on room and time
Acquire data.The data that distinct device obtains different from form, using technology of Internet of things can be realized people and equipment it
Between interconnection, between equipment data interconnection, thus uniform data standard.
Integrated pipe under Internet of Things is supported platform and should be had the following characteristics that
Comprehensively, it perceives on a large scale, broad covered area.In Internet of Things net system, all facilities be may be connected at together,
Interconnecting for information is realized between equipment, realizes and complete perception is carried out to the large-scale information of physical world.
The information of real time implementation is transmitted.By network technology can be provided for the information data of Internet of Things it is efficient, stablize and
When, safely transmit.
The control efficiency of management to internet of things equipment can be improved in the application of intelligent processing and automation control, Internet of Things,
Reduce manpower consumption.
Wherein, image recognition technology will fully develop talents.Image recognition is using computer in computer application field to figure
As being handled, being analyzed and being understood, to identify the target of various different modes and the technology of object.Its main process is to process
Pretreated image is identified and is classified, and finally determines the process of item name.The feature that selection needs to extract is first had to,
Some of them parameter is handled and measured, then extracts these features, is finally identified and is classified.By being carried out to image
Analysis and description in overall structure, can reinforce the understanding to image, improve the accuracy of image recognition.In real road pipe
When supporting work, by installing video camera acquisition road disease image on the rolling stock, image understanding, disease are carried out to image
Detection and identification, finally inform administrator for recognition result.In the case where image data base is sufficiently large, image library can be established,
Disease geo-radar image including various features and corresponding processing scheme.For the pavement disease image newly obtained, pass through passing disease
Process experience is compared with image library, manages and supports the automatic recommendation process scheme of system, realizes the feeding system of pipe from disease recognition everywhere
Manage the full-automation and intelligence of program decisions.
In recent years, technology of Internet of things had obtained development at full speed, however existing Internet of Things drawback also increasingly shows.Performance
:
The high cost of center control
In current Internet of Things framework, a kind of this generally existing Ossified phenomenon: data summarization controls system to single center
System, leading to central server, there are immense pressures in terms of energy consumption and entreprise cost expenditure.And with terminal instantly it is low at
This is popularized, and the following internet of things equipment will increase by geometric progression, this pressure may become difficult to bear.
Secret protection difficulty becomes larger with popularization
The management framework of centralization is inscribed in the presence of what can not be proved one's own innocence, namely regardless of whether you have stolen the hidden of participant
Private, is all easy under a cloud, does not have rational mode that can prove that yours is pure, completely by it is mutual it is conscious with trust.With third
For square video monitoring equipment, since data have uploaded to third-party server, user data is obtained either with or without by third party, this
It is the big scruple that user buys such equipment and service.
Individual is easier to be attacked after networking
If being not involved in Internet of Things, perhaps equipment live together peacefully, but inevitably becomes the big gun of systemic network attack after networking
Ash.
The high Cooperation Cost of multiagent
Usually not exclusively the side of being initiated is controlled the participant of Internet of Things, such as how partner to be allowed preferably to participate in, faced
Extremely complex Cooperation Cost.By taking road equipment monitoring device as an example, each pipe supports the monitoring device that section establishes oneself,
But the different information supported between unit of managing are difficult to share.Same industry even in this way, the data sharing between different industries just
It is more difficult.The case where this just inevitably leads to installations and facilities repeated construction, the material resources that waste financial resources.
The appearance of block chain technology will perfectly solve above-mentioned predicament.Block chain technology is to utilize block linked data structure
To verify algorithm is known together with storing data, using distributed node generate and more new data, guaranteed in the way of cryptography
The safety of data transmission and access is programmed using the intelligent contract being made of automatized script code and one kind of operation data
Completely new distributed basis framework and calculation.Block chain technique functions are derived from financial field, but its appearance will be not only deep
Ground influences and changes financial industry, will also play the role of in internet of things field revolutionary.Block chain technology provides for Internet of Things
The point-to-point mode directly interconnected carries out data transmission, entire Internet of Things solution do not need to introduce large-scale data center into
Row data are synchronous and management controls, and send including data acquisition, instruction and the operations such as software upgrading can pass through block chain
Network is transmitted, and the operation cost of Internet of Things will can be greatly reduced in this.It is interconnected by the data encryption technology and P2P of block chain
Network, trust problem can be readily solved, and the intercommunity safety problem of Internet of things node also there would not be under different trust domain.
By block chain technology, the general Internet of Things that a scale will be established can constantly expand, while guaranteeing privacy, safety, make to join
Trust and can trade without establishing with person, collaborative share, resource-sharing will bring enormous benefits to society.Therefore, comprehensive
Closing the feeding system introducing block chain technology of pipe will the great data retrieval capabilities and efficiency for improving sensing layer.
Specific implementation:
1, equipment application
Pavement Performance monitoring device based on machine vision is mainly collected in analysis road pavement by periodic images data
Performance carries out long term monitoring.
Road equipment and the vehicle-mounted three-dimensional laser scanner of environment, the main point cloud data for obtaining road equipment and environment, are used
The three-dimension modeling of scene in maintenance work zones
Unmanned plane detection device can carry out image to facility by manipulation unmanned plane and adopt for the region that people can not reach
Collection, such as the detection of bridge can detect facility below bridge by manipulation unmanned plane.
Pipe robot, it is dark for urban Underground pipeline narrow space light the features such as, by pipe robot come
Acquire data relevant to pipeline.
Vehicular road surface video disease breakage detection system can recognize that pitch, cement concrete and gravel road surface institute are ill
Evil type, the multiple roads performance indicator such as detection pavement damage ratio DR, Pavement distress PCI, RQI, RDI.
Greening environment inductor
Inspection well cover inductor
2, data acquisition and transmission
Data during maintenance work are broadly divided into two parts, first is that the work order data during maintenance work, including
History is maintained, conserves position and picture retention etc., this partial data is mainly provided by maintenance work unit；Another part is
Maintenance work equipment and maintenance processes data, the attribute data including the work of safety, municipal administration, mechanical equipment and water utilities, this part
Data need to be acquired by installing the equipment laid previously, can be divided mainly into following sections.
Monitoring of taking pictures periodically is carried out to selected section and bridge area with Pavement Performance monitoring device, acquires road surface and bridge
Beam image.
For safety, greening, city have stable political situation water utilities work in mechanical equipment, attribute value be it is static, pass through imparting
Mechanical equipment electronic tag realizes the mark to object.Staff only need to by the smart machines such as mobile phone to electronic tag into
Row identification decision can service condition to equipment and operation instruction carry out a retrospect, accomplish the real-time and essence of equipment management
Parasexuality.
For trouble free service, before going out class every time, railway maintenance squad's long scan two dimensional code can get by management system, open text,
Language, picture and video etc. record data, complete work of telling somebody what one's real intentions are.To data carry out obtaining telling somebody what one's real intentions are after Macro or mass analysis displaying with
Track, and outputting standard report.
Detection for road and bridge defect in municipal administration work, can be carried out by laser equipment or binocular scanner
Scanning obtains point cloud data, and some handheld devices, which are difficult to the region reached, to be detected by unmanned plane shooting photo.Road
Monitoring with bridge defect is by laying camera in specified region, and road pavement and bridge are taken pictures under certain frequency.Prison
Though surveying unlike detection, solid is specific comprehensively, and monitoring data have Temporal Order, the evolution mechanism of road pavement and bridge defect
It studies significant.
In terms of for the vehicle in mechanical equipment, go out class's time location, driving trace, operation record by obtaining vehicle
Driver information, vehicle information database are established with data such as time of return positions.Then the data collected are uploaded to
In data warehouse.
It works for water utilities, because pipeline location is complex in water utilities work, equipment is difficult to reach manually,
The work of data acquisition testing can be carried out by the intelligent acquisitions equipment such as pipe robot or unmanned plane.
The evaluation of road pavement performance can be divided mainly into periodic detection and long term monitoring in maintenance work.Periodic detection is main
Pavement image information is acquired using vehicular road surface video disease breakage detection system, the monitoring of long-term behaviour, which uses, is based on machine
The Pavement Performance monitoring device of vision is timed video recording of taking pictures.
See attached drawing 1: sensing layer diagram
The data and decision center of intelligence
Intelligent data and decision center rely on mass data storage technology and artificial intelligence analysis's technology.In integrated pipe
In reason system, intelligent data and decision center belong to the thinking layer in entire management system, belong to the brain in the feeding system of pipe, bear
Duty is analyzed and processed and makes a policy to the data that sensing layer collects.The data that sensing layer collects are multi-source numbers
According to the time-space attribute of data format, data source and data is all different, and the Intelligent data center data different to attribute are implemented simultaneously
Row processing, is finally stored in data warehouse in a distributed fashion.By the data exchange to sensing layer and to the parallel of data
Processing carries out maintenance prediction and program decisions by intelligent decision center, and issues and respond to behavior layer.And it is especially embodied in:
Machine learning power-assisted real-time data analysis decision
Decision refers on ordinary meaning in order to reach certain objectives, right using corresponding mathematics or management means
Multiple alternatives are carried out than choosing, and therefrom select the process of optimal case.In road maintenance, more due to pavement behavior
Complexity, Damage Types multiplicity, if maintenance method traditionally, can have information update not in time, pavement disease is unable to get
Processing in time, when great disease occurs, the normal operation of meeting road pavement traffic is adversely affected, and is also brought to maintenance work
Very big pressure.
It can be by summarizing the forming step of mankind's concept using machine learning, and mathematics will be passed through in thought process in it
Method is stated out, to construct a kind of mathematical model with node and network.Its theoretical core is by the company between node
The relationship of connecing reaches the target of decision.It has powerful adaptive ability and fault-tolerance with good collective's operational capability,
Theoretically it can fit any nonlinear curve, therefore can use in machine learning and construct entire curing system
Intelligence decision support system module carries out road maintenance engineering from objective, system level auxiliary so as to analyze data
Decision support is helped, intelligent decision is realized, establishes perfect road maintenance decision tree.
By taking Daily Round Check as an example, pavement disease is found and by concrete condition by giving the correct time on app in patrol officer, system is logical
The analysis to disease details is crossed, automatic classification is carried out to the severity of disease.If situation is not extremely serious, Jiu Huigen
According to the inference function of intelligence decision support system module, in conjunction with the disease conditions of disease their location, it is present to analyze entire road
Situation generates science, effective and reasonable disposal method, in conjunction with the construction team and construction equipment stored in data warehouse
Present position infers the maintaining unit for being most suitable for solving disease, and automatically generates the work order of maintenance task, and it is single to be sent to maintenance
Position, enables pavement disease to be handled in time.If being judged by system, it is believed that pavement distress is extremely serious, Bian Huitong
Know maintenance unit manager, and by the event handling scheme obtained after network analysis with a variety of visual means image, intuitively
It shows, provides decision support for manager, so that it is made to determine the disposal method of event in the shortest time, it can be most fast
The influence of pavement disease is reduced to limit, the emergency capability of maintenance department is improved.
Artificial neural network establishes adaptive road performance prediction model
With the long term of traffic load and external environment, road surface quality can be gradually reduced, if without rationally supporting
Shield, will influence its service performance.If can know the service level of current road in advance, preferably maintenance can be made and determined
Plan rationally utilizes fund.That is, the trend of only scientific forecasting future trajectory service performance development, it could preferably
Foundation is provided for Maintenance Decision making, to larger play economic benefit and social benefit.
Correctly Maintenance Decision making is built upon on the basis of Accurate Prediction, and reasonable, science model is to meet road surface
Decay Law, we should select suitable maintenance measure under the premise of understanding correct Decay Law.Due to road surface property
The influence factor that can decay is numerous, while being a dynamic process again, so its in extensive range and relationship is complicated.Nerve
Learning Algorithms are by a large amount of processing component, using a kind of complex network computing system of manual type construction.It has
There is the learning method of complete set then matched, therefore be able to achieve adaptive, self-organizing and self study ability, thus
To meet the needs of establishing adaptive road performance prediction model.At the same time, passing road disease historical summary and maintenance
Information can provide good learning stuff just for model, and model is made to can use artificial neural network algorithm to passing road
Road property development situation is constantly analyzed and is deduced, to obtain this regional road performance rule of development, and then can be into
The state of development for predicting to one step road performance from now on is inferred to the best opportunity of maintenance and provides most suitable maintenance plan.
With continuing on for system, the continuous accumulation of data is conserved, model also can be gradually perfect, and the accuracy of prediction can therewith not yet
It is disconnected to improve, to really realize the maintenance process of life cycle management.
Specific implementation:
1, data are uploaded and are stored
The data that sensing layer collects are multi-source datas, and the time-space attribute of data format, data source and data is not
Together, the Intelligent data center data different to attribute are classified according to attribute in thinking layer, are finally deposited in a distributed fashion
Storage is in data warehouse.Data are uploaded onto the server by respective classes according to the different attribute of acquisition data, such as, image class
Data can carry out data management by way of establishing image library.
2, parameter extraction and data prediction
Accurately data be analysis accuracy basis, in order to precisely be assessed maintenance work, data it is accurate
Property, which seems, to be even more important.
On the one hand, the proficiency data that we need to directly obtain, it is also desirable to be extracted from without processed data
The indirect indexes useful to our evaluation and forecas, for example, disease statistics in disease quantity growth rate, variable quantity etc. indirectly number
According to index.
On the other hand, initial data is as a kind of dynamic data, due to by acquisition equipment precision, sensitivity, transmission line
The influence of many factors such as road failure and external environmental interference, often presence is invalid for data, redundancy, mistake, loses, makes an uproar
Phenomena such as sound, time point offset, influences in order to avoid there are the data of quality problems to be directly entered subsequent maintenance assessment for these
State analysis prediction and implementation result are conserved, needs to carry out these data elimination noise, correct mistake information, reduction redundant digit
According to, derive to calculate and lose the pretreatment works such as data.
3, data assay
Disease geo-radar image is divided to be determined with disease state
Disease kind is carried out according to characteristics of image and picture actual acquisition environment for the pavement disease image collected
The classification work of class and severity, there are many modes for classification work, can be divided for image single parameter, can also be with base
It is divided in multi-parameter, but the boundary that both methods divides image is clearly more demarcated, the property with " one or the other ".
In fact, road disease has stronger randomness and ambiguity, based on the classification side of determining single parameter or multi-parameter
Method can not accurately divide road disease, herein propose the image disease recognition technology based on fuzzy reasoning, can be more
Reasonably and accurately determine disease classification.
The judgement of road disease is exactly on the basis of disease geo-radar image classification, according to Pattern recognition principle, judgement sample point
Affiliated disease Status Type.
The disease geo-radar image collected for one, final target are needed automatic after carrying out disease judgement to it
Obtain corresponding processing scheme and maintenance parameter corresponding with the program, including maintenance area, maintenance type, maintenance time
With the series of parameters such as material.In order to reach this target, it would be desirable to the corresponding relationship of corresponding disease and processing scheme is established,
And this corresponding relationship is combed into library, so that subsequent image control makes a policy as early as possible.
On the whole, this stage groundwork is system by the analysis to disease details, to the serious journey of disease
Degree carries out automatic classification.If situation be not it is extremely serious, will be according to the inference function of intelligence decision support system module, in conjunction with disease
The disease conditions of their location analyze the present situation of entire road, generate science, effective and reasonable disposal method, then
The present position of the construction team and construction equipment that store in combined data warehouse infers the maintenance list for being most suitable for solving disease
Position, and the work order of maintenance task is automatically generated, it is sent to maintaining unit, pavement disease is enable to be handled in time.If passing through
System judgement, it is believed that pavement distress is extremely serious, will notify maintenance unit manager, and will obtain after network analysis
Event handling scheme is showed with a variety of visual means images, intuitively, decision support is provided for manager, to make it
The disposal method for determining event in the shortest time, can reduce to most fast limit the influence of pavement disease, improve maintenance department
Emergency capability.
Time-series dynamics analysis
The dynamic of maintenance data refers to the attribute that the parameter of related facility during maintenance work changes over time,
Using time scale as partitioning standards, and the facility related parameter values in different curing time sections are analyzed, can be found feeding
The dynamic distribution of different phase facility attribute value is protected, and then assessment is made to following Maintenance Decision making.Time-series dynamics analysis
Main includes statistics characteristic analysis, periodicity analysis, analysis of trend, chaotic property analysis and the mutability point of maintenance data time sequence
Analysis.
Association analysis
Maintenance management system is the complication system for containing all multivariables, shows the maintenance work relevant parameter of its feature
It is also the Time-space serial of a multidimensional, is influenced by many factors, and there is mutual shadows complicated and changeable between various factors
The relationship of sound, more or less there is correlations between maintenance work parameter.Specific in the Defect inspection of road maintenance operation,
Association analysis mainly measures between different road diseases and degree of correlation of the same disease under different timing, calculates different diseases
The degree of association between evil provides corresponding quantification measurement, and obtains existing regularity between them, when extracting traffic behavior
The association mode of sequence.Its correlation degree can be analyzed from the qualitative analysis of the degree of association, uncertainty and retardance several respects.
4, Maintenance Decision making and prediction
It since the influence factor of Pavement Performance decaying is numerous, while being a dynamic mistake again during maintenance work
Journey, so its in extensive range and relationship is complicated.Learning Algorithm is by a large amount of processing component, using artificial
A kind of complex network computing system that mode constructs.It has learning method of complete set matched, be able to achieve it is adaptive,
Thus the ability of self-organizing and self study can meet the needs of establishing adaptive road performance prediction model.
See attached drawing 2: thinking layer diagram
High dimensional data Visualization
The world be it is three-dimensional, with computer, mapping, the development of geographical information technology, the world is not just in terms of three-dimensional perspective
It is broken into as mainstream.Visual final purpose is not only merely to show physical world, it also provides required spatial position number
According to realizing virtual reality system, objective, the truly implementation management world using the various data of real world.
Beidou satellite navigation and positioning system, 3 D laser scanning, oblique photograph measurement, virtual reality (VR), geography information
The development of the technologies such as system (GIS) and BIM provides technical guarantee for the spatial visualization that highway pipe is supported, and accelerates pipe and supports system
It unites towards the direction effort of 3 D stereo.
Wherein, a large amount of point cloud datas on surface of the three-dimensional laser scanning technique by obtaining testee, are further processed
It is able to achieve the reconstructing three-dimensional model of measurement object afterwards.Oblique photograph is substantially that multiple sensors are carried on same flying platform,
Atural object is shot from multiple angles simultaneously, the angle acquisition shadow different from vertical, front, rear, left side, five, right side
Picture, so that the terrestrial object information obtained is more complete, more comprehensively, the oblique photograph image of acquisition is by after image processing, using building
Mould software produces oblique photograph threedimensional model.
ArcGIS is the major product of global geographical information system regions leader Esri company.As GIS-Geographic Information System
Industry bellwether constantly upgrades in multiple fields such as map presentation, cartographic analysis.The ArcGIS of newest publication is provided
The GIS technology of a new generation, connection and collaboration between post each inside organization and mechanism provide more efficiently, easily
Environment；It can be easily attached with Internet of Things and efficiently obtain, handle and show from all kinds of biographies of Internet of Things
Feel the real time data of facility；Tremendous increase is achieved to the processing of space-time big data, analysis and dynamic and visual ability.In new body
Under the support of system structure and application model, more or even all posies can preferably work in organization
Collaboration, the potential and value of various data will be excavated preferably by efficiently analyzing and visualizing.Especially exist
Three-dimensional aspect, ArcGIS are integrated with very powerful modeling and function are presented, and have the support of ArcGIS, our integrated pipe supports system
System will be constantly at the leading level, and is constantly explored new pipe and is supported mode.
Virtual reality technology (VR) is to generate a three-dimensional, true to nature using computer technology simulation, be capable of providing to
Virtual environment of the family about the integrated sense organ simulation such as vision, the sense of hearing, tactile, user can be by external equipment, with natural
Mode is interacted with virtual environment, and is influenced each other, thus generate it is on the spot in person, obtain etc. for true environment impression and
The technology of experience.Augmented reality (AR) is grown up on the basis of virtual reality, can be by real world information and virtual
World information carries out a kind of " seamless " integrated new technology will be virtual by computer graphics and visualization technique
Information application is to real world.By virtual objects, scene or the system prompt information for generating computer, set by display
It is standby accurately to be superimposed upon in true environment, to realize merging for virtual world and true environment, give one sensory effects of user true
Real new environment.And mixed reality (MR) is the further development of virtual reality technology, the technology in virtual environment by drawing
Enter reality scene information, the information circuits of an interaction feedback are set up between virtual world, real world and user, with enhancing
The sense of reality of user experience.VR/AR/MR Technology application is supported in daily pipe, we, which will possess more data, indicates and presentation
Means.For example, can be run one time by using high-precision three-dimensional laser scanning vehicle in piece internal road for pipe supports section,
Establish the road model managed support within the scope of section, the greening scenes such as model and roadside facility.For the pipeline mould in section
The region that type and some laser scanning vehicles can not reach can carry out oblique photograph imaging by unmanned plane, establish measurement object
Threedimensional model.It, can be by VR technology according to meaning for having had idea, but the practical project that do not construct also in road maintenance programming
It is willing to carry out Dummy modeling, shows modelling effect figure.It manages and supports in region after model foundation, increase the space of model by GIS technology
Attribute information, is managed facility in section with three-dimensional plus data information thought, realizes visually three peacekeeping using AR/MR
Facility space time information combines the exhibition method of various dimensions, provides support for later period Analysis of Policy Making.
Specific implementation:
1, high dimensional data is shown
Actual scene three dimensional point cloud is obtained based on three-dimensional laser scanner, the three-dimensional of actual scene is established by processing
Model, later period add time dimension parameter, realize that the three-dimensional scenic of maintenance work adds the displaying of time series.On this basis, it borrows
Help GIS technology to increase the attribute data information of model, static attribute data including model and with maintenance work change in process and
The dynamic data information of variation implements management work with the thought of BIM, and final realize can visually return on the three-dimensional, time
It traces back, the traceable higher-dimension contextual data of attribute data shows.
2, MR technology and human-computer interaction
By MR technology, based on building for panoramic photography three-dimensional scenic, people can be by intelligent glasses in virtual three-dimensional
It roams, can be interacted with the object in virtual world in the world, enhance the experience and the sense of reality of user, accomplish to maintenance work
The comprehensive displaying of object information and displaying is transferred in area.
See attached drawing 3: presentation layer diagram
Expanding layer is to form road network grade and interregional mutual by applying the technologies such as internet, block chain, ArcGIS
Connection, is mutually enjoyed at intercommunication, and is extended to all municipal administrations, building, public utilities and transboundary used.
Detailed description of the invention
Attached drawing 1: sensing layer structure chart
Attached drawing 2: thinking layer structure chart
Attached drawing 3: presentation layer structure chart.
Claims (5)
1. the design of entire total management system, framework, module, model, mutual logic, association, compatible, Xiang Rong.
2. the ubiquitous perception net that sensing layer is made of data acquisition equipments such as various sensors, intelligent terminals, responsible pair
The characteristic perception of physical world.Major technique: technology of Internet of things, image recognition, block chain technology.
3. thinking layer mainly includes in the data and decision of the intelligence such as mobile communications network, Intelligent data center, cloud computing platform
The heart is responsible for the functions such as data transmission storage and analysis decision.Major technique: machine learning power-assisted real-time data analysis decision, people
Artificial neural networks establish adaptive road performance prediction model.
4. the visualization that presentation layer is management system is presented, by rich and varied data presentation mode, that perception net is acquired,
The high dimensional data that thinking layer analysis generates, is expressed with most intuitive way.High dimensional data Visualization, big-dipper satellite are led
The skills such as boat positioning system, 3 D laser scanning, oblique photograph measurement, virtual reality (VR), GIS-Geographic Information System (GIS) and BIM
Art.It manages and supports in region after model foundation, increase the space attribute information of model by GIS technology, with three-dimensional plus data information
Thought is managed facility in section, realizes that visually three peacekeeping facility space time informations combine various dimensions using AR/MR
Exhibition method provides support for later period Analysis of Policy Making.In terms of three-dimensional, ArcGIS is integrated with very powerful modeling and function is presented
Can, there is the support of ArcGIS, our integrated pipe is supported system and will be constantly at the leading level, and constantly explores new pipe and supports mode.
5. expanding layer is to form road network grade and interregional interconnection, mutually by applying the technologies such as internet, block chain, ArcGIS
Lead to, mutually enjoy, and extends to all municipal administrations, building, public utilities and transboundary use.
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| CN109374043A (en) * | 2018-09-13 | 2019-02-22 | 常熟市交通工程管理处 | A kind of operation bridge multi-source detection system and detection method based on BIM |
| CN109887090A (en) * | 2019-01-31 | 2019-06-14 | 北京市政路桥管理养护集团有限公司 | Bridge maintenance visiting method and device based on AR |
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| CN110166340A (en) * | 2019-06-05 | 2019-08-23 | 北京京投信安科技发展有限公司 | T-NET full system type pictorial single line multi-source data acquiring and transmission system |
| CN111260217A (en) * | 2020-01-16 | 2020-06-09 | 赵志平 | Highway daily maintenance information management system |
| CN111459186A (en) * | 2020-04-18 | 2020-07-28 | 王烟烟 | Unmanned aerial vehicle cruise system based on deep neural network and block chain |
| TWI709096B (en) * | 2019-09-12 | 2020-11-01 | 中國信託商業銀行股份有限公司 | Equipment repair management method and system |
| CN112288304A (en) * | 2020-11-06 | 2021-01-29 | 江苏物联网研究发展中心 | High-adaptability maintenance management system |
| CN112330159A (en) * | 2020-11-06 | 2021-02-05 | 盐城郅联空间科技有限公司 | 3DGIS information platform management method and system based on block chain |
| CN112800913A (en) * | 2021-01-20 | 2021-05-14 | 同济大学 | Pavement damage data space-time analysis method based on multi-source feature fusion |
| CN112802021A (en) * | 2021-04-09 | 2021-05-14 | 泰瑞数创科技(北京)有限公司 | Urban bridge road diagnosis method and system based on digital twin technology |
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| CN116523475A (en) * | 2023-06-30 | 2023-08-01 | 中国市政工程西南设计研究总院有限公司 | BIM-based water service engineering equipment management method and system |
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| CN109374043B (en) * | 2018-09-13 | 2019-09-10 | 常熟市交通工程管理处 | A kind of detection method of the operation bridge multi-source detection system based on BIM |
| CN109374043A (en) * | 2018-09-13 | 2019-02-22 | 常熟市交通工程管理处 | A kind of operation bridge multi-source detection system and detection method based on BIM |
| CN109887090A (en) * | 2019-01-31 | 2019-06-14 | 北京市政路桥管理养护集团有限公司 | Bridge maintenance visiting method and device based on AR |
| CN110118751A (en) * | 2019-05-24 | 2019-08-13 | 无锡佶达德光电子技术有限公司 | The laser detection system of automatic adjusument monitoring frequency |
| CN110166340A (en) * | 2019-06-05 | 2019-08-23 | 北京京投信安科技发展有限公司 | T-NET full system type pictorial single line multi-source data acquiring and transmission system |
| TWI709096B (en) * | 2019-09-12 | 2020-11-01 | 中國信託商業銀行股份有限公司 | Equipment repair management method and system |
| CN111260217A (en) * | 2020-01-16 | 2020-06-09 | 赵志平 | Highway daily maintenance information management system |
| CN111459186A (en) * | 2020-04-18 | 2020-07-28 | 王烟烟 | Unmanned aerial vehicle cruise system based on deep neural network and block chain |
| CN111459186B (en) * | 2020-04-18 | 2021-10-08 | 吉林大学 | Unmanned aerial vehicle cruise system based on deep neural network and block chain |
| CN112330159B (en) * | 2020-11-06 | 2021-06-08 | 盐城郅联空间科技有限公司 | 3DGIS information platform management method and system based on block chain |
| CN112288304A (en) * | 2020-11-06 | 2021-01-29 | 江苏物联网研究发展中心 | High-adaptability maintenance management system |
| CN112330159A (en) * | 2020-11-06 | 2021-02-05 | 盐城郅联空间科技有限公司 | 3DGIS information platform management method and system based on block chain |
| CN112800913A (en) * | 2021-01-20 | 2021-05-14 | 同济大学 | Pavement damage data space-time analysis method based on multi-source feature fusion |
| CN112900212A (en) * | 2021-01-21 | 2021-06-04 | 西湾智慧(广东)信息科技有限公司 | Maintenance method of dynamic maintenance mechanism based on road management maintenance |
| CN113240132A (en) * | 2021-03-19 | 2021-08-10 | 招商局重庆交通科研设计院有限公司 | City public space road system of patrolling and examining |
| CN112802021B (en) * | 2021-04-09 | 2021-07-30 | 泰瑞数创科技(北京)有限公司 | Urban bridge road diagnosis method and system based on digital twin technology |
| CN112802021A (en) * | 2021-04-09 | 2021-05-14 | 泰瑞数创科技(北京)有限公司 | Urban bridge road diagnosis method and system based on digital twin technology |
| CN115762181A (en) * | 2022-11-23 | 2023-03-07 | 日照公路建设有限公司 | Informationization method and device for construction safety management of highway maintenance road |
| CN116523475A (en) * | 2023-06-30 | 2023-08-01 | 中国市政工程西南设计研究总院有限公司 | BIM-based water service engineering equipment management method and system |
| CN116523475B (en) * | 2023-06-30 | 2023-09-19 | 中国市政工程西南设计研究总院有限公司 | BIM-based water service engineering equipment management method and system |
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