CN106292596A - A kind of sewage treatment plant intelligent management expert diagnostic system - Google Patents
A kind of sewage treatment plant intelligent management expert diagnostic system Download PDFInfo
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- CN106292596A CN106292596A CN201610756064.3A CN201610756064A CN106292596A CN 106292596 A CN106292596 A CN 106292596A CN 201610756064 A CN201610756064 A CN 201610756064A CN 106292596 A CN106292596 A CN 106292596A
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- 239000010865 sewage Substances 0.000 title claims abstract description 52
- 238000007726 management method Methods 0.000 claims abstract description 32
- 238000000034 method Methods 0.000 claims abstract description 27
- 238000013480 data collection Methods 0.000 claims abstract description 13
- 238000011112 process operation Methods 0.000 claims abstract description 11
- 238000007405 data analysis Methods 0.000 claims abstract description 10
- 238000013500 data storage Methods 0.000 claims abstract description 10
- 230000005540 biological transmission Effects 0.000 claims abstract description 6
- 238000004458 analytical method Methods 0.000 claims description 40
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 19
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 11
- 238000012423 maintenance Methods 0.000 claims description 11
- 229910052760 oxygen Inorganic materials 0.000 claims description 11
- 239000001301 oxygen Substances 0.000 claims description 11
- 238000003066 decision tree Methods 0.000 claims description 9
- 238000004519 manufacturing process Methods 0.000 claims description 9
- 230000008569 process Effects 0.000 claims description 9
- 239000010802 sludge Substances 0.000 claims description 7
- 238000003860 storage Methods 0.000 claims description 6
- OAICVXFJPJFONN-UHFFFAOYSA-N Phosphorus Chemical compound [P] OAICVXFJPJFONN-UHFFFAOYSA-N 0.000 claims description 4
- XKMRRTOUMJRJIA-UHFFFAOYSA-N ammonia nh3 Chemical compound N.N XKMRRTOUMJRJIA-UHFFFAOYSA-N 0.000 claims description 4
- 229910052698 phosphorus Inorganic materials 0.000 claims description 4
- 239000011574 phosphorus Substances 0.000 claims description 4
- 230000015556 catabolic process Effects 0.000 claims description 3
- 238000010992 reflux Methods 0.000 claims description 3
- 230000015572 biosynthetic process Effects 0.000 claims description 2
- 241000372132 Hydrometridae Species 0.000 claims 1
- 230000006870 function Effects 0.000 description 8
- 241000196324 Embryophyta Species 0.000 description 7
- 238000012546 transfer Methods 0.000 description 6
- 238000004065 wastewater treatment Methods 0.000 description 6
- 238000004891 communication Methods 0.000 description 4
- 238000003745 diagnosis Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 238000012544 monitoring process Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 230000002159 abnormal effect Effects 0.000 description 3
- 238000005276 aerator Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 238000012937 correction Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000018109 developmental process Effects 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 238000005273 aeration Methods 0.000 description 1
- 230000004888 barrier function Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000010205 computational analysis Methods 0.000 description 1
- 230000001276 controlling effect Effects 0.000 description 1
- 238000013523 data management Methods 0.000 description 1
- 238000013502 data validation Methods 0.000 description 1
- 230000008034 disappearance Effects 0.000 description 1
- 230000009977 dual effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000007717 exclusion Effects 0.000 description 1
- 230000017525 heat dissipation Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 230000002045 lasting effect Effects 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 238000013439 planning Methods 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 238000005086 pumping Methods 0.000 description 1
- 230000008929 regeneration Effects 0.000 description 1
- 238000011069 regeneration method Methods 0.000 description 1
- 230000009711 regulatory function Effects 0.000 description 1
- 230000001235 sensitizing effect Effects 0.000 description 1
- 238000005728 strengthening Methods 0.000 description 1
- 239000002352 surface water Substances 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 238000013519 translation Methods 0.000 description 1
- 238000013024 troubleshooting Methods 0.000 description 1
- 239000003403 water pollutant Substances 0.000 description 1
- 238000003911 water pollution Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/4185—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by the network communication
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/31—From computer integrated manufacturing till monitoring
- G05B2219/31088—Network communication between supervisor and cell, machine group
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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- General Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The invention discloses a kind of sewage treatment plant intelligent management expert diagnostic system, it is characterised in that including: data collection layer: for gathering the running state data of sewage treatment plant's key equipment and technique, and described running state data is stored data storage layer；Data storage layer: for storing the running state data that described data collection layer gathers；Data analysis layer: be used for utilizing described running state data, is analyzed equipment running status, process operation real-time status, process operation trend and operation troubles and feeds back, and feedback result is passed through the Internet transmission to client layer；Client layer: be used for issuing described feedback result.
Description
Technical field
The present invention relates to belong to field of environment engineering technology, particularly one sewage treatment plant intelligent management expert diagnosis system
System.
Background technology
Sewage treatment industry as one of national emerging strategic industry, Ye Shi China " water prevention and cure of pollution action plan " (with
One of lower abbreviation " ten, water ") industry paid close attention to.Ten, water explicitly points out the water pollution problems comprehensively controlling China,
Ask strengthening urban life pollution control.Accelerate urban wastewater treatment Facilities Construction and transformation.Existing urban wastewater treatment facility,
Treatment in accordance with local conditions is transformed, at the bottom of the year two thousand twenty before reach corresponding discharge standard or regeneration requirement.Sensitizing range (emphasis lake,
Emphasis reservoir, immediate offshore area watershed) urban wastewater treatment facility should reach before the end of the year 2017 comprehensively one-level A discharge mark
Accurate.Built-up areas water quality does not reaches the city of surface water IV class standard, and newly-merged university sewage treatment facility one-level A to be performed is arranged
Put standard.According to national novel urbanization planning requirement, to the year two thousand twenty, national all county towns and emphasis town possess at sewage collecting
Reason ability, county town, treatment rate of domestic sewage respectively reach 85%, about 95%.
For a long time, the operation and management level of domestic urban wastewater treatment firm is relatively low, and sewage disposal energy consumption is higher, sewage
The problem that processing cost is too high.On the one hand this be to start to walk evening owing to I crosses sewage disposal, and equipment technology is the most backward, causes sewage
System is unstable, the thorny problems such as operating cost is higher.On the other hand it is owing to our automatic control level is low, sewage disposal operation
The cultivation mechanism disappearance of managerial talent, causes its intelligentized development by serious restriction.The intelligent pipe of sewage treatment plant
Manage by means of modern monitoring device and big data computational analysis, it is possible to provide the most accurate for sewage treatment plant's technique and equipment
Control program, and its daily operation is realized digitized management, saves labour cost.It can be said that sewage treatment plant's intelligence
Operation level can be changed and have become as decision large-scale water affair group company enterprise entirety operation management level, reply gradually fierceness
Market Competition, obtain maximum economic benefit key.
Sewage disposal process often has non-linear, multivariate, the feature that specificity is big.In daily running,
It is difficult to avoid the occurrence of the problem that such as equipment fault or effluent index exceed standard.In conventional case, the analysis of fault and row
Solve except tending to rely on the managerial experiences of person in charge of the technology aspect or factory director in factory.Failture evacuation is reasonable with the process of solution
Property, science is all difficult to ensure.On the other hand, the Sewage Plant operation mode of personal experience's type be substantially difficult in adapt to grouping of the world economy and
The development of Intellectualized sewage water treatment plant management.
Summary of the invention
The technical problem to be solved is, not enough for prior art, it is provided that a kind of sewage treatment plant intelligence pipe
Reason expert diagnostic system.
For solving above-mentioned technical problem, the technical solution adopted in the present invention is: a kind of sewage treatment plant intelligent management is special
Family's diagnostic system, including:
Data collection layer: for gathering the running state data of sewage treatment plant's key equipment and technique, and by described operation shape
State data store data storage layer；
Data storage layer: for storing the running state data that described data collection layer gathers；
Data analysis layer: be used for utilizing described running state data, to equipment running status, process operation real-time status, technique
Operation trend and operation troubles are analyzed and feed back, and feedback result are passed through the Internet transmission to client layer；
Client layer: be used for issuing described feedback result.
The data of described data collection layer collection include: water quality and quantity characteristic, production device status data, history fortune
Row data, process operation critical data.
Described water quality and quantity characteristic includes: Inlet and outlet water flow, COD, ammonia nitrogen, total phosphorus, pH, biochemical section dissolved oxygen, dirty
Mud concentration.
Described production device status data includes: power of fan, bearing temperature, and use state and device intelligence analysis divide
Analysis system feedback hundred-mark system result.
Described process operation critical data includes: sludge reflux amount, air quantity.
The data of described data collection layer collection also include: breakdown maintenance historical record, equipment maintenance record, note of reporting to the police
Record, equipment specification.
Data analysis layer carry out process operation trend analysis mainly comprise the processes of utilize mathematical statistics function to storage fortune
Row status data carries out trend analysis, by discrete running state data matching formation curve figure, the most further to curve
Figure carries out trend analysis, judges the operation risk being likely to occur and early warning.
Mainly comprising the processes of of operational failure analysis utilizes accident analysis decision tree, to concrete equipment or the event of technique
Barrier is analyzed targetedly and judges, and analysis and judged result will be stored in a text form and be shown.
Described client layer includes web terminal and/or app end.
Compared with prior art, the present invention is had the beneficial effect that and be present invention achieves the digitized that full factory runs
Management, is fed back each technique, the running status of each equipment in time by on-line monitoring equipment, and is passed by effective path
Defeated, analyze and call, scientifically instruct the properly functioning of sewage treatment plant.Avoid the management that traditional wastewater treatment plant is empirical
Leak, for operation troubles investigation, analyze and solve to provide the most timely reasonably solution, it is ensured that sewage disposal
The lasting stability that each technique is properly functioning.
Accompanying drawing explanation
Fig. 1 expert analyzing system system logic structure；
Fig. 2 expert diagnosis central site network topological structure；
Fig. 3 equipment Information Management System；
Fig. 4 multiparameter trend analysis system structure；
Fig. 5 equipment fault decision tree；
Fig. 6 water outlet COD exceeds standard decision tree.
Detailed description of the invention
The system of the present invention can utilize sewage disposal expert's rich experience and knowledge to solve sewage treatment plant and run
Problem in journey, provides Trajectory for management personnel.Native system can be divided into data collection layer in network structure, and data are deposited
Reservoir, data analysis layer and user interface.Data collection layer uses intelligent management monitoring scheme, primary feedback sewage disposal
Key equipment and the running status of technique.Data store data into server by VPN agreement.Multiple stage clothes are set in group
Business device, and server can communicate with multiple data-interfaces, and carry out self-defined transmission and the storage of data.The most just
Being to say, client layer can realize by the data access difference plant area in invoking server, and the Sewage Plant of different periods runs number
According to, for expert diagnosis center.Expert diagnostic program is set in expert diagnosis centring system, mainly anti-by accepting following system
The result 1 of feedback) data after central processing unit carries out trend analysis.2) history is similar to fault and exclusion program；3) pass through
Setting the analyzing and diagnosing of program (decision tree) in central processing unit, the reason of the fault appearance be given and solution, from entirety
Upper judgement and analyze the running status of sewage treatment plant and carry out accident analysis.Expert diagnosis center provides WEB terminal mouth and APP
Two kinds of access stencils of port.At Web end, Web server can be with on-line data acquisition system, and device intelligence management system is gone through
History service data storage system, data handling system and trend analysis system communicate, for by the production of said apparatus
Data, status data and historical data etc. are issued in the form of a web page, transfer for expert and analyze.Now, specially
Family can carry out logging in inquiry with specific identity authority by PC end.At APP end, APP server both can be with online data
Acquisition system, device intelligence management system, history data storage system, data handling system and trend analysis system are straight
Connect and communicate, it is also possible to the service with Web end communicates, transfer partial history data and technique real-time running data, greatly
The big network traffic data reducing APP server.Now, expert can pass through the visit of the mobile device such as mobile phone, panel computer port
Ask expert diagnosis center, call the operation information of each subsystem feedback, historical information and analysis result flexibly.
Below with middle part urban wastewater treatment firm and combine accompanying drawing the invention will be further described.
As it is shown in figure 1, expert diagnosis center atmosphere data collection layer, accumulation layer, data analysis layer and client layer.Data acquisition
Collection layer is also sensing layer.The data that sewage treatment plant gathers in the present invention include 1) water quality and quantity feature, Inlet and outlet water flow,
COD, ammonia nitrogen, total phosphorus, pH, biochemical section dissolved oxygen, sludge concentration etc..2) equipment state is produced, including power of fan, bearing temperature
Degree, uses state and device intelligence analysis to analyze system feedback hundred-mark system result.3) history data storehouse；4) process operation
Critical data, sludge reflux amount, air quantity.5) other, breakdown maintenance historical record, equipment maintenance record, alarm logging, equipment is said
Bright book etc..This system equipment mainly includes each sewage treatment plant, the on-line instrument instrument of pumping plant, production equipment, robot control system(RCS) etc.,
It it is the basis of whole intelligent management system technological architecture.The construction of data collection layer is to utilize each factory robot control system(RCS), by powerful
Data protocol translation function, on the premise of not affecting the production run of each sewage treatment plant, carry out multiple communication interface, communication
The conversion of agreement, it is achieved automatically gather various PLC and the production run data of driver, and set up with all kinds of PLC, driver,
Data communication between motor controller, ultimately forms perfect sensing layer system.
Data storage mainly comprises sewage treatment plant's central data store.As type of production database server, support
Business is handled in strange land, belongs to real-time service, and this server system requires higher in terms of reliability, and reliability must reach
More than 99.99%, it is provided that the availability of annual 7 × 24, it is configured to dual computer group mode.System uses multipart redundancy structure
Design, has the memorizer of high speed error checking and correction and error correction, and has monitoring and diagnostic function.A case study on implementation in the present invention
In, central database selects the ProLiantSL 170z G6 large data server of Hewlett-Packard.It has the high property of shared power supply
Energy multinode cabinet, can reduce cost and improve power-efficient；Cabinet uses shares heat dissipation equipment, uses effect to improve
Rate；Use and share architecture, to reduce weight and cost.
Data analysis layer mainly includes equipment state intelligent analysis system, critical process data analysis system, trend analysis
System and four parts of expert diagnostic system.Four big systems are respectively with regard to equipment running status, process operation real-time status, technique
Operation trend and operation troubles are analyzed and feed back, and feedback result are passed through the Internet transmission to user terminal.
The management of sewage treatment plant's key equipment uses intelligent management information system as shown in Figure 3.Installed System Memory stores up institute
It is related to the information of equipment, the information such as including operation operation guide, function declaration, equipment specification, installation drawing.And design
Maintenance system based on RCM operation management.Data acquisition includes equipment maintenance record, and patrol record, equipment real-time working condition etc. are believed
Breath, carries out hundred-mark system evaluation to the key position of each key equipment or key equipment.Equipment is may determine that according to score value
Running status.Data, after acquisition system gathers, are transmitted by VPN particular virtual network.In a case study on implementation,
Water inlet is sampled and analyzes according to default sample frequency by the on-line monitoring equipment such as ammonia nitrogen, total phosphorus and COD automatically, and
The data server of this factory is stored data into the form of numerical value.In factory, personnel can log in management system, according to demand certainly
Definition selects data to be transferred to the server specified.This system is not restricted by different configuration software when reading data, can read
The real time data of arbitrary Sewage Plant and historical data, it is adaptable to the different brands industrial control software data acquisition of OPC interface is provided；
In the data collecting system of a certain Sewage Plant, user can customize data collection type, the most just can only target data be entered
Row, to upper transmission, is greatly saved the memory capacity of system data；The data of multiple water factories are uploaded to run the data of general headquarters and connect
After receipts system, can be by the data automatic sorting of different sewage factory to specifically storing position by User Defined.Can realize many
Individual Sewage Plant data read simultaneously and manage, and are not mutually exclusive.
Data in memorizer can be compressed by critical process data management system, curve generation, data display etc.
Function.In a case study on implementation, after the dissolved oxygen data of collection are stored by data collecting system, system will automatically generate
According to the time, the dissolved oxygen curve of change feeds back.User can be directly viewable dissolved oxygen data in each period with login system
Situation of change.
It is illustrated in figure 4 the service data trend analysis system of sewage treatment plant.Trend analysis system utilizes computer strong
Big operational capability, is analyzed conditional curve and early warning.This system, can at data analysis layer by calling cloud database
The big data of storage in data base are carried out trend analysis, by discrete data matching is generated realizing mathematical statistics function
Curve chart, system further carries out trend analysis to curve chart, judges the operation risk being likely to occur and early warning.Institute
State user interface layer and refer in particular to reflection analysis curve and the client of trend anticipation result, including web terminal and app end.
Expert diagnostic system and trend analysis system, can enter between device intelligence operational system and data collecting system
Row communication.Expert diagnostic program and expert data server is set in expert diagnostic system.Expert diagnostic program is primarily referred to as expert
Logical judgment program.For some most common failures in sewage treatment plant's running and problem, according to certain thinking of logic
Determine the logical structure of accident analysis and solution, namely accident analysis decision tree.This program can be with called data acquisition system
The data (including each subsystem data) fed back, analyze targetedly the fault of concrete equipment or technique and sentence
Disconnected, and provide corresponding solution.The program will store in a text form and show.Expert examines login expert
Behind disconnected center, decision tree analysis result can be transferred, as reference.Expert data server mainly stores in sewage disposal process
The historic trouble shooting record of all sewage treatment plants in the analysis and decision guide of most common failure, and storage group, for
Expert decision-making carries out reference.
Expert diagnosis central user layer provides WEB terminal mouth and two kinds of access stencils of APP port.At Web end.Web server
Can with on-line data acquisition system, device intelligence management system, history data storage system, data handling system and
Trend analysis system communicates, and is used for creation data, status data and the historical data etc. of said apparatus with webpage
Form is issued, and transfers for expert and analyzes.Now, expert can be stepped on specific identity authority by PC end
Record inquiry.At APP end, APP server both can be with on-line data acquisition system, device intelligence management system, history run number
Directly communicate according to storage system, data handling system and trend analysis system, it is also possible to the service with Web end is led to
Letter, transfers partial history data and technique real-time running data, greatly reduces the network traffic data of APP server.Now, specially
Family can pass through the mobile device such as mobile phone, panel computer port and access expert diagnosis center, calls each subsystem feedback flexibly
Operation information, historical information and analysis result.
Case study on implementation 1
Blower equipment fault
In running, equipment aerator display fault, and feed back to equipment management system and report to the police.Expert diagnosis center
Logical judgment is carried out according to decision tree set in advance.System judges equipment redundancy shape according to in-plant equipment and running status thereof
The most whether state, have stand-by equipment.If having, enabling stand-by equipment and ensureing that technique is properly functioning.Set without standby
Standby, the most immediately maintenance shut-downs.When maintenance starts, system can be according to RCM analysis result, it is judged that the probability of failure cause, and opens
Begin to judge.General determining program is that equipment is powered, the project such as functions of the equipments integrity and equipment regulatory function, determines dimension
The rank repaiied, and be given to specialist system and carry out reference.
Case study on implementation 2
Water outlet COD exceeds standard
When the COD detected in water outlet exceeds standard, system is by data feedback to central processing unit, system alarm, and enters into specially
Family's diagnostic system.First, data collecting system can continue to gather sample be analyzed confirming according to program set in advance.If
After data validation exceeds standard, then enter diagnostic analysis program.System can transfer this other critical datas exceeding standard in the time period automatically
Judge.Collect data and include into water pollutant levels, biochemical section dissolved oxygen, pH, basicity, sludge concentration etc..System can root
One by one COD reason for Exceeding is judged according to inherent inference mechanism (decision tree).If being judged as, dissolved oxygen concentration is too low, then enter
To dissolved oxygen failure analysis program.In present case, first system can point out site operation personnel to carry out the merit of dissolved oxygen equipment
Can detect, if detecting abnormal, then starting device maintenance procedure, and reaffirm result.If equipment is normal, then enter into aeration
Function control device detection program, overhauls the equipment such as aerator and blower fan.
If dissolved oxygen is normal, judging the pH of biochemical section the most successively, the key index such as basicity and sludge concentration is the most abnormal.If
Abnormal, carry out intelligent control according to program in advance, or provide the solution party of rationalization for operation personnel and backstage operation expert
Case.
If through pre-set program, do not judge failure analysis result yet, then diagnostic result will be sent extremely by system
Expert diagnosis center interface, provides thinking for operation expert.Operation expert can transfer other critical data at specialist system, as
Equipment running status, the content such as trend analysis and live video, this fault is got rid of.
Claims (9)
1. sewage treatment plant's intelligent management expert diagnostic system, it is characterised in that including:
Data collection layer: for gathering the running state data of sewage treatment plant's key equipment and technique, and by described operation shape
State data store data storage layer；
Data storage layer: for storing the running state data that described data collection layer gathers；
Data analysis layer: be used for utilizing described running state data, to equipment running status, process operation real-time status, technique
Operation trend and operation troubles are analyzed and feed back, and feedback result are passed through the Internet transmission to client layer；
Client layer: be used for issuing described feedback result.
Sewage treatment plant the most according to claim 1 intelligent management expert diagnostic system, it is characterised in that described data acquisition
The data of collection layer collection include: water quality and quantity characteristic, production device status data, history data, process operation close
Key data.
Sewage treatment plant the most according to claim 2 intelligent management expert diagnostic system, it is characterised in that described water quality water
Measure feature data include: Inlet and outlet water flow, COD, ammonia nitrogen, total phosphorus, pH, biochemical section dissolved oxygen, sludge concentration.
Sewage treatment plant the most according to claim 2 intelligent management expert diagnostic system, it is characterised in that described production sets
Standby status data includes: power of fan, bearing temperature, uses state and device intelligence analysis to analyze system feedback hundred-mark system knot
Really.
Sewage treatment plant the most according to claim 2 intelligent management expert diagnostic system, it is characterised in that described technique is transported
Row critical data includes: sludge reflux amount, air quantity.
Sewage treatment plant the most according to claim 2 intelligent management expert diagnostic system, it is characterised in that described data acquisition
The data of collection layer collection also include: breakdown maintenance historical record, equipment maintenance record, alarm logging, equipment specification.
Sewage treatment plant the most according to claim 1 intelligent management expert diagnostic system, it is characterised in that data analysis layer
Carrying out mainly comprising the processes of of process operation trend analysis utilizes mathematical statistics function that the running state data of storage is carried out trend
Analyze, by discrete running state data matching formation curve figure, the most further curve chart is carried out trend analysis, to can
The operation risk that can occur carries out judging and early warning.
Sewage treatment plant the most according to claim 1 intelligent management expert diagnostic system, it is characterised in that operation troubles is divided
Mainly comprising the processes of of analysis utilizes accident analysis decision tree, analyzes the fault of concrete equipment or technique targetedly
And judgement, and analysis and judged result will be stored in a text form and show.
Sewage treatment plant the most according to claim 1 intelligent management expert diagnostic system, it is characterised in that described client layer
Including web terminal and/or app end.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107547870A (en) * | 2017-08-29 | 2018-01-05 | 南京西普水泥工程集团有限公司 | A kind of in-circuit diagnostic system and method |
| CN108196493A (en) * | 2017-12-29 | 2018-06-22 | 北京桑德环境工程有限公司 | A kind of wisdom water utilities control system and method based on cloud platform |
| CN109081507A (en) * | 2018-08-24 | 2018-12-25 | 广州市环境保护工程设计院有限公司 | sewage treatment control method and system |
| CN111290311A (en) * | 2020-02-14 | 2020-06-16 | 华南农业大学 | System and method for monitoring effluent data after wastewater treatment |
| CN113387429A (en) * | 2021-06-29 | 2021-09-14 | 黑龙江大学 | Water environment ecological pile |
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| CN103546536A (en) * | 2013-08-28 | 2014-01-29 | 北京清控人居环境研究院有限公司 | Internet of things system of sewage treatment plant |
| CN104965481A (en) * | 2015-07-13 | 2015-10-07 | 天津华清健坤膜科技有限公司 | Water treatment monitoring platform based on cloud computing |
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| CN107547870A (en) * | 2017-08-29 | 2018-01-05 | 南京西普水泥工程集团有限公司 | A kind of in-circuit diagnostic system and method |
| CN108196493A (en) * | 2017-12-29 | 2018-06-22 | 北京桑德环境工程有限公司 | A kind of wisdom water utilities control system and method based on cloud platform |
| CN109081507A (en) * | 2018-08-24 | 2018-12-25 | 广州市环境保护工程设计院有限公司 | sewage treatment control method and system |
| CN111290311A (en) * | 2020-02-14 | 2020-06-16 | 华南农业大学 | System and method for monitoring effluent data after wastewater treatment |
| CN113387429A (en) * | 2021-06-29 | 2021-09-14 | 黑龙江大学 | Water environment ecological pile |
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Address after: 518052 Room 201, building A, 1 front Bay Road, Shenzhen Qianhai cooperation zone, Shenzhen, Guangdong Applicant after: Shenzhen Yongqing water limited liability company Address before: 410330 the 319 National Road of Liuyang National Economic Development Zone, Changsha, Hunan. Applicant before: HUNAN YONKER WATER CO., LTD. |
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