CN108446793A - The canal business system of artificial intelligence big data - Google Patents
The canal business system of artificial intelligence big data Download PDFInfo
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- CN108446793A CN108446793A CN201810154946.1A CN201810154946A CN108446793A CN 108446793 A CN108446793 A CN 108446793A CN 201810154946 A CN201810154946 A CN 201810154946A CN 108446793 A CN108446793 A CN 108446793A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
- G06Q10/047—Optimisation of routes or paths, e.g. travelling salesman problem
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Abstract
The invention discloses a kind of canal of artificial intelligence big data business systems, the system includes intelligent city's terminal, big data high in the clouds, artificial intelligence terminal and remote measurement and control terminal, intelligent city's terminal and artificial intelligence terminal are interconnected with big data high in the clouds respectively, and the big data high in the clouds and artificial intelligence terminal are connect with remote measurement and control terminal by network wireless respectively；The artificial intelligence terminal includes supervised learning module, neuron output module and channel stagnant water warning module；The supervised learning module is connect with neuron output module, and the neuron output module is connect with the input terminal of channel stagnant water warning module, and the output end of the ponding warning module is connect with remote measurement and control terminal；The supervised learning module and neuron output module are connected with big data high in the clouds.The present invention, which changes, exists in the prior art palliative defect so that the circuit of sewage conduct network is optimized.
Description
Technical field
The present invention relates to a kind of canal of technical field of sewage more particularly to artificial intelligence big data business systems.
Background technology
For the total length of the sewage pipe network of China in total more than 41.4 ten thousand kilometers, this is equivalent to terrestrial equator area 40,075
10 times or more of kilometer.In its quantity, sewage pipe network is absolute and has no lack of, and is to need to be promoted in quality instead.And have
The fresh water pipeline preferably managed is different, and since sewage disposal and sewage conduct construction lag, the facility for leading to waste water basis is inadequate
It is perfect.It is pointed out according to Government Report, top has already been arrived in the expansion of sewage pipe network in fact, and remaining have only improves pipeline
Quality supports the Chinese city rate constantly to improve.
The urbanization rate of China rises to 53% also in rapid growth from the 36% of the same period.In view of the city of the United Nations's prediction
City's rate is estimated will to reach 60%, and has arrived the year two thousand twenty, and the sewage quantity of household is estimated accordingly to be increased.The dimension of sewage conduct
Shield and function will become the key factor for supporting urban development.
The sewage disposal in Today, most city is all after relying on sewage collecting to a large-scale central processing, wherein
There are several master operations：
One, coagulation, the main solid pollution substance removed in sewage in suspended state, most of of physical treatment process
It can complete the requirement of coagulation.By the sewage of coagulation, BOD generally can remove 30% or so, discharge standard be not achieved.
Coagulation belongs to the pretreatment of two stage treatment.
Two, two stage treatment, main organic pollution materials (BOD, the COD object removed in sewage in colloid and dissolved state
Matter), removal rate makes organic pollution reach discharge standard up to 90% or more.
Three, tertiary treatment, be further processed that organic matter difficult to degrade, nitrogen and phosphorus etc. can result in body eutrophication can
Insoluble inorganic object etc..Main method has biological carbon and phosphorous removal method, coagulant sedimentation, sand coarse aggregate ratio method, active carbon adsorption, ion exchange
Method and electric osmose analytic approach etc..
The setting area of sewage network is also just increasing；And the continuous precipitation of dirt and fermentation in sewage network, in dirt
More and more rancid, bad airs for going mouldy will be gathered in grid, these bad airs can pass through the rain of street both sides
The floor drain of leaf grating for down pipe, the well lid for examining Check wells or even every household is gushed out.These bad airs had both caused urban air environment
Deteriorate, can also bring harmful effect to health, concentration transfinite inch in addition also result in it is unnecessary fire event, to city
The life security of city resident brings serious security risk.
The planning and designing problem of sewage network design, which is mainly reflected in, to be lacked in urban sewage system plan, with people's lives water
The progress of flat raising and urban construction, current drainage planning have not adapted to the development in epoch.Drainage planning design is answered
This is premised on the overall planning of building, but pipeline network construction, because being difficult to change after the completion of its construction, service life requires length
The features such as up to 40 or five ten years or more, it is very difficult to strictly with the time limit in the overall planning of building, blowdown flow rate standard, resident population
Density, soil service range etc. are foundation, thus are difficult the needs for complying with urban development.On the other hand, also there are many cities and towns long
Phase lacks draining ad hoc planning advanced, that operability is strong and directs its construction concretely, causes the laying of sewage network to be difficult into and is
System, big pipe connect the problems such as drainpipe absolute altitude between tubule, Qu Yuqu cannot be connected, sewage pipe absolute altitude cannot be connected between upstream and downstream
Often occur.
The main performance of blowdown system problem of management is that the drain pollution management dynamics is inadequate.Common drainage system in current city
It is generally divided into combined system, and separate system mixing system is also the system often having in city.Sewage network, which lacks, to be safeguarded, is failed in time
Dredging, it is unsmooth to will also result in sewage pipe water delivery, cannot be satisfied intrinsic conveyance power of water.
In order to ensure the intact and normal operation of town sewage pipe network facilities, we must select in conjunction with local concrete condition
Rational run-off system reinforces management and construction with specification town sewage pipe network, gives full play to town sewage pipe network facilities
Function.
, there are many cities and towns or old town in the problem of existing overflow type intercepting well, since historical reasons are all also using interflow
Drainage system processed.Combined system cannot meet existing standard of drainage as a kind of conventional discharge system.Most of sewage pipe
Net transformation is inevitable to be developed towards separate flow system direction, but process difficulty is bigger, therefore mostly uses overflow type intercepting well method.
But there is also many problems for existing overflow-type blocking cut-off process:Sewage shuts off, and not reach city anti-for the overflow port of main pipe overflow well
Flood requires, and Flood is poured in down a chimney by the overflow port of riverine setting into cities and towns sewer system and city, and sewage disposal is caused
Factory's operation is obstructed fails with urban flood dyke.
Sewage governance automates
The advanced sewage conduct of domestic contrast administer all with technology of Internet of things (various sensors, all kinds of wireless telecommunications) and
GIS (accurate piping network map, sensing station).This two technologies are attained by the effect of certain degree, can collect a sample
Information or generate Realtime Alerts make corresponding scheme to administrator, it might even be possible to connect in pipeline braking system (valve,
Pump, air blower etc.), it makes and automatically processing.Actual sewage pipeline system due to there are complexity, non-linear, time variation,
Uncertain and imperfection etc. can not generally obtain accurate mathematical model and with being actually consistent it is assumed that therefore using biography
The sewage pipeline processing system that system control theory is established there is a problem of in practical engineering application can only be palliative, for
Scheme is cannot take out in the improvement or design of the network and equipment of municipal sewage pipeline entirety.
Invention content
Shortcoming present in view of the above technology, the present invention provides a kind of good sewage processing effect and sewage network is complete
The canal business system of kind artificial intelligence big data.
To achieve the above object, the present invention provides a kind of canal business system of artificial intelligence big data, including intelligent city's end
End, big data high in the clouds, artificial intelligence terminal and remote measurement and control terminal, intelligent city's terminal and artificial intelligence terminal respectively with
Big data high in the clouds interconnect, and the big data high in the clouds and artificial intelligence terminal respectively with remote measurement and control terminal by network without
Line connects；
The artificial intelligence terminal includes supervised learning module, neuron output module and channel stagnant water warning module；Institute
It states supervised learning module to connect with neuron output module, and the neuron output module and channel stagnant water warning module is defeated
Enter end connection, and the output end of the ponding warning module is connect with remote measurement and control terminal；The supervised learning module and nerve
First output module is connected with big data high in the clouds；
The entity link of channel network is converted into AI by the physical network of the supervised learning module based on sewage routeway
Neural network logic links：Allow sewage pipeline network digitlization and analytic operation can with the operation method of long term use to AI and
Hardware computation；The link of each pipeline and bifurcation site just become the neuron of neural network, the line of every link neuron
Item is exactly every single pipeline；It is just represented with cynapse inside neural network；
After the I digitlizations of this sewage pipeline network A, many history and real-time data can be utilized to make supervised learning,
There are one weight values, as weight for each cynapse in mathematical model, then to calculate obtained by some neuron on i-th layer
Potential energy be equal to the output that each weight is multiplied by (i-1)-th layer of upper corresponding neuron, then all summations have obtained on i-th layer
The obtained potential energy of some neuron, then potential energy numerical value is by the activation functions on the neuron, be often input vector or
Response of the continuous function imictron of tanh to excitation, to control output size；
Finally pass through the numerical value that continuous function calculates yi, the input vector as next layer (i+1)；
When there is ponding in underpass, remote measurement and control terminal connects underpass entrance LED early warning screen and friendship immediately
Ventilating signal lamp reminds vehicular traffic and pedestrian to take care and pass through simultaneously by LED early warning screen text and traffic lights
Direction instruction, monitoring center video show underpass scale water level, channel inner product water depth and vehicle pass-through situation.
Wherein, intelligent city's terminal includes data cell in sewage conduct, urban sewage pipe network element and day
Gas predicting unit；Data cell, urban sewage pipe network element and weather forecasting unit are counted with big in the sewage conduct
It is interconnected according to high in the clouds.
Wherein, the big data high in the clouds includes high in the clouds data collection module and data classification and compression unit；The sewage
The input terminal of data cell, urban sewage pipe network element and weather forecasting unit with high in the clouds data collection module in pipeline
Connection, and the output end of the high in the clouds data collection module is connect with data classification with compression unit.
The beneficial effects of the invention are as follows：Compared with prior art, the canal business system of artificial intelligence big data provided by the invention
System, the system include mainly intelligent city's terminal, big data high in the clouds, artificial intelligence terminal and remote measurement and control terminal, and most crucial
Improvement be the artificial intelligence terminal in the present invention in artificial intelligence terminal, the Shen The Net Network of not instead of base Yu Ren Brain, base what
Sewage conduct Real Body networks, are copied into NN (neural network), primarily to the operation of the various NN of current AI can be utilized
Method allows the digitlization of sewage pipeline network and analytic operation can be with the operation method and hardware computation of long term use to AI, this
Design can utilize many history and real-time data to make supervised learning by after the I digitlizations of sewage pipeline network A.Above-mentioned hair
Bright improvement changes and palliative defect exists in the prior art so that the circuit of sewage conduct network has obtained excellent
Change.
Description of the drawings
Fig. 1 is the structural schematic diagram of the canal business system of the artificial intelligence big data of the present invention；
Fig. 2 is the calculating process schematic diagram of supervised learning module in the present invention；
Fig. 3 is the result of calculation display diagram of supervised learning module in the present invention.
Specific implementation mode
In order to more clearly state the present invention, the present invention is further described below in conjunction with the accompanying drawings.
The system referring to Fig. 1, canal of artificial intelligence big data provided by the invention is engaged in, including intelligent city's terminal 1, big number
According to high in the clouds 2, artificial intelligence terminal 3 and remote measurement and control terminal 4, intelligent city's terminal and artificial intelligence terminal are counted with big respectively
It is interconnected according to high in the clouds, and the big data high in the clouds and artificial intelligence terminal are connected with remote measurement and control terminal by network wireless respectively
It connects；
The artificial intelligence terminal includes supervised learning module 31, neuron output module 32 and channel stagnant water warning module
33；The supervised learning module is connect with neuron output module, and the neuron output module and channel stagnant water early warning mould
The input terminal of block connects, and the output end of the ponding warning module is connect with remote measurement and control terminal；The supervised learning module
It is connected with big data high in the clouds with neuron output module；
The entity link of channel network is converted into AI by the physical network of the supervised learning module based on sewage routeway
Neural network logic links：Allow sewage pipeline network digitlization and analytic operation can with the operation method of long term use to AI and
Hardware computation；The link of each pipeline and bifurcation site just become the neuron of neural network, the line of every link neuron
Item is exactly every single pipeline；It is just represented with cynapse inside neural network；
After the I digitlizations of this sewage pipeline network A, many history and real-time data can be utilized to make supervised learning,
There are one weight values, as weight for each cynapse in mathematical model, then to calculate obtained by some neuron on i-th layer
Potential energy be equal to the output that each weight is multiplied by (i-1)-th layer of upper corresponding neuron, then all summations have obtained on i-th layer
The obtained potential energy of some neuron, then potential energy numerical value is by the activation functions on the neuron, be often input vector or
Response of the continuous function imictron of tanh to excitation, to control output size；
Finally pass through the numerical value that continuous function calculates yi, the input vector as next layer (i+1)；
When there is ponding in underpass, remote measurement and control terminal connects underpass entrance LED early warning screen and friendship immediately
Ventilating signal lamp reminds vehicular traffic and pedestrian to take care and pass through simultaneously by LED early warning screen text and traffic lights
Direction instruction, monitoring center video show underpass scale water level, channel inner product water depth and vehicle pass-through situation.A in Fig. 1
Indicate the data of each channel；B indicates treated data；C indicates the strategy that AI is generated；D indicates that strategy transfers to each control
End.
Compared to the prior art the case where, the canal business system of artificial intelligence big data provided by the invention, the system are main
Including intelligent city's terminal, big data high in the clouds, artificial intelligence terminal and remote measurement and control terminal, and most crucial improvement is artificial
Intelligent terminal, the present invention in artificial intelligence terminal, the Shen The Net Network of not instead of base Yu Ren Brain, base what sewage conduct Real Body
Network is copied into NN (neural network), primarily to sewage pipeline can allow using the operation method of the various NN of current AI
The digitlization of network and analytic operation can be with the operation methods and hardware computation of long term use to AI, and the design is by sewage pipe gauze
After network AI digitlizations, many history and real-time data can be utilized to make supervised learning.The improvement of foregoing invention changes existing
Have in technology that there are palliative defects so that the circuit of sewage conduct network is optimized.
In the present embodiment, intelligent city's terminal 1 includes data cell 11, urban sewage pipe net in sewage conduct
Network unit 12 and weather forecasting unit 13；Data cell, urban sewage pipe network element and weather are pre- in the sewage conduct
Unit is surveyed to interconnect with big data high in the clouds.The big data high in the clouds 2 includes that high in the clouds data collection module 21 and data are classified
With compression unit 22；Data cell, urban sewage pipe network element and weather forecasting unit be and cloud in the sewage conduct
The input terminal of end data collector unit connects, and the output end of the high in the clouds data collection module is classified with data and compression unit
Connection.
Supervised learning in the present invention is Supervised Learning different with half artificial intelligence, Wo Men Let Meter's
The Shen The Net Network of Zheng Body Net Network not instead of base Yu Ren Brain, base what sewage conduct Real Body networks, are copied into NN (neural network).
This way is primarily to the digitlization and analysis of sewage pipeline network can allow using the operation method of the various NN of current AI
Operation can be with the operation method and hardware computation of long term use to AI.The link of each pipeline and bifurcation site just become NN's
The lines of Neuron (neuron), every link neuron are exactly every single pipeline, with regard to Yong Tu Touch (Synapse) inside NN
To represent.And after the I digitlizations of this sewage pipeline network A, many history and real-time data can be utilized to make supervised learning
(Supervised Training), there are one weight values for each cynapse in mathematical model, we are referred to as weight (weight),
The obtained potential energy of some neuron that so calculate on i-th layer is multiplied by (i-1)-th layer of upper corresponding god equal to each weight
Output through member, then all summations have obtained the obtained potential energy of some neuron on i-th layer, and then potential energy numerical value passes through
Activation functions (activation function) on the neuron, are often the continuous letters such as Sigmoid function or tanh
Response of the digital-to-analogue paraneuron to excitation, to control output size.
Its specific operation has as shown in Fig. 2, x=Input Vector in the figure；X1=pipeline flows；X2=is harmful to gas
Bulk concentration；X3=harmful liquid concentration；Wi1=pipeline flow weights；Wi2=harmful gas concentration weights；Wi3=harmful liquids
Concentration weight；Calculating obtains that the results are shown in Figure 3 later.
Advantage of the invention is that：
1, of the invention《Pipeline network AI networkings》It is easy to use the tool of AI NN calculations, pipeline network is managed science and technology
It is synchronous with AI development.
2, NN can learn according to data, learning outcome can predict, now survey (Nowcast), new network design suggestion,
Old network optimization suggestion, the alarm of old network design issue.Surmounting the management of canal business now can reach.
Disclosed above is only several specific embodiments of the present invention, but the present invention is not limited to this, any ability
What the technical staff in domain can think variation should all fall into protection scope of the present invention.
Claims (3)
- The system 1. a kind of canal of artificial intelligence big data is engaged in, which is characterized in that including intelligent city's terminal, big data high in the clouds, people Work intelligent terminal and remote measurement and control terminal, intelligent city's terminal and artificial intelligence terminal interact company with big data high in the clouds respectively It connects, and the big data high in the clouds and artificial intelligence terminal are connect with remote measurement and control terminal by network wireless respectively；The artificial intelligence terminal includes supervised learning module, neuron output module and channel stagnant water warning module；The prison It superintends and directs study module to connect with neuron output module, and the input terminal of the neuron output module and channel stagnant water warning module Connection, and the output end of the ponding warning module is connect with remote measurement and control terminal；The supervised learning module and neuron are defeated Go out module to be connected with big data high in the clouds；The entity link of channel network is converted into AI nerves by the physical network of the supervised learning module based on sewage routeway Cellular logic links：Allow the digitlization of sewage pipeline network and analytic operation can be with the operation method and hardware of long term use to AI Operation；The link of each pipeline and bifurcation site just become the neuron of neural network, and the lines of every link neuron are just It is every single pipeline；It is just represented with cynapse inside neural network；After the I digitlizations of this sewage pipeline network A, many history and real-time data can be utilized to make supervised learning, mathematics There are one weight values, as weight for each cynapse in model, then to calculate the obtained gesture of some neuron on i-th layer The output that each weight is multiplied by (i-1)-th layer of upper corresponding neuron can be equal to, then all summations have obtained certain on i-th layer A obtained potential energy of neuron, then potential energy numerical value is often input vector or hyperbolic by the activation functions on the neuron Response of the continuous function imictron of tangent to excitation, to control output size；Finally pass through the numerical value that continuous function calculates yi, the input vector as next layer (i+1)；When there is ponding in underpass, remote measurement and control terminal connects underpass entrance LED early warning screen and traffic letter immediately Signal lamp reminds vehicular traffic and pedestrian to take care and pass through direction simultaneously by LED early warning screen text and traffic lights Instruction, monitoring center video show underpass scale water level, channel inner product water depth and vehicle pass-through situation.
- The system 2. canal of artificial intelligence big data according to claim 1 is engaged in, which is characterized in that intelligent city's terminal Including data cell, urban sewage pipe network element and weather forecasting unit in sewage conduct；Data in the sewage conduct Unit, urban sewage pipe network element and weather forecasting unit are interconnected with big data high in the clouds.
- The system 3. canal of artificial intelligence big data according to claim 2 is engaged in, which is characterized in that the big data high in the clouds packet Include high in the clouds data collection module and data classification and compression unit；Data cell, urban sewage pipe net in the sewage conduct Network unit and weather forecasting unit are connect with the input terminal of high in the clouds data collection module, and the high in the clouds data collection module Output end is classified with data to be connect with compression unit.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101105690A (en) * | 2007-07-26 | 2008-01-16 | 武汉理工大学 | Multiple sensor integrated method for city long tunnel monitoring system |
| CN104697587A (en) * | 2015-04-01 | 2015-06-10 | 成都城联科技有限公司 | Monitoring device for underground drainage pipe network and working mechanism of monitoring device |
| CN104794578A (en) * | 2015-04-23 | 2015-07-22 | 深圳市汇生通科技发展有限公司 | Could computing based smart water affair management system |
| CN105139603A (en) * | 2015-07-24 | 2015-12-09 | 华中科技大学无锡研究院 | Intelligent urban water accumulation monitoring and early warning system |
| CN105241524A (en) * | 2015-10-26 | 2016-01-13 | 河海大学常州校区 | Urban flood warning system and method based on radial basic function neural network model |
-
2018
- 2018-02-23 CN CN201810154946.1A patent/CN108446793A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101105690A (en) * | 2007-07-26 | 2008-01-16 | 武汉理工大学 | Multiple sensor integrated method for city long tunnel monitoring system |
| CN104697587A (en) * | 2015-04-01 | 2015-06-10 | 成都城联科技有限公司 | Monitoring device for underground drainage pipe network and working mechanism of monitoring device |
| CN104794578A (en) * | 2015-04-23 | 2015-07-22 | 深圳市汇生通科技发展有限公司 | Could computing based smart water affair management system |
| CN105139603A (en) * | 2015-07-24 | 2015-12-09 | 华中科技大学无锡研究院 | Intelligent urban water accumulation monitoring and early warning system |
| CN105241524A (en) * | 2015-10-26 | 2016-01-13 | 河海大学常州校区 | Urban flood warning system and method based on radial basic function neural network model |
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