CN104361452A - Big consumer abnormal electricity consumption pre-warning system with multiple networks integrated - Google Patents
Big consumer abnormal electricity consumption pre-warning system with multiple networks integrated Download PDFInfo
- Publication number
- CN104361452A CN104361452A CN201410649176.XA CN201410649176A CN104361452A CN 104361452 A CN104361452 A CN 104361452A CN 201410649176 A CN201410649176 A CN 201410649176A CN 104361452 A CN104361452 A CN 104361452A
- Authority
- CN
- China
- Prior art keywords
- module
- electricity consumption
- user
- load
- service
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000005611 electricity Effects 0.000 title claims abstract description 38
- 230000002159 abnormal effect Effects 0.000 title abstract description 7
- 238000004458 analytical method Methods 0.000 claims abstract description 24
- 230000005856 abnormality Effects 0.000 claims description 29
- 238000012544 monitoring process Methods 0.000 abstract description 16
- 238000004891 communication Methods 0.000 description 30
- 238000007726 management method Methods 0.000 description 16
- 230000010354 integration Effects 0.000 description 14
- 239000013307 optical fiber Substances 0.000 description 11
- 238000000034 method Methods 0.000 description 10
- 238000010276 construction Methods 0.000 description 8
- 238000005516 engineering process Methods 0.000 description 8
- 230000008859 change Effects 0.000 description 5
- 230000008569 process Effects 0.000 description 5
- 238000013461 design Methods 0.000 description 4
- 239000000835 fiber Substances 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000011160 research Methods 0.000 description 3
- 230000009897 systematic effect Effects 0.000 description 3
- RTZKZFJDLAIYFH-UHFFFAOYSA-N Diethyl ether Chemical compound CCOCC RTZKZFJDLAIYFH-UHFFFAOYSA-N 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000013480 data collection Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000018109 developmental process Effects 0.000 description 2
- 230000004069 differentiation Effects 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- 230000006855 networking Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- 230000002547 anomalous effect Effects 0.000 description 1
- 238000013459 approach 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
- 210000000988 bone and bone Anatomy 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000004907 flux Effects 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
- 230000001629 suppression Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 230000007704 transition Effects 0.000 description 1
Classifications
-
- 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"
-
- 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
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
-
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Theoretical Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Health & Medical Sciences (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Public Health (AREA)
- Primary Health Care (AREA)
- Water Supply & Treatment (AREA)
- Educational Administration (AREA)
- General Health & Medical Sciences (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
Provided is a big consumer abnormal electricity consumption pre-warning system with multiple networks integrated. The system comprises a data acquisition module, a basic service module, an abnormal electricity consumption pre-warning module, an important user monitoring module, a scientific electricity consumption management module, a load analysis module, a load predicting module and an information issuing module. According to connecting relationships, the data acquisition module, the basic service module, the abnormal electricity consumption pre-warning module, the important user monitoring module, the scientific electricity consumption management module and the information issuing module are connected in sequence, the information issuing module is further connected with the basic service module, the important user monitoring module and the scientific electricity consumption management module are further connected with the basic service module, and the load analysis module and the load predication module are connected with the scientific electricity consumption management module. By the application of the system, the frequency of abnormal power outages on a client side can be reduced effectively, losses of electricity customers are reduced, the user satisfaction degree of power enterprises is improved, and the social image of the power enterprises is improved.
Description
Technical field
The present invention relates to a kind of large user's multiplexing electric abnormality early warning system, for monitoring large user's electricity consumption situation, providing the application such as early warning to the situation of multiplexing electric abnormality.
Background technology
Inner at electric power enterprise at present, main application sets is copied, bear control, generated energy acquisition and monitoring system of distribution transformer adopts interface mode to obtain electric energy data from these systems, by these Data Integrations in electric energy information system, four-in-one metering automation system and the collection to have put into operation copy negatively to control, generated energy acquisition and the mutual independent operating of monitoring system of distribution transformer, do not interfere with each other.Collection user field data is mainly applied to the technology of several aspect once:
Dedicated fibre optical network
Optical fiber private network refers to builds general plan according to power user power consumption information acquisition system and what build take optical fiber as a kind of Utilities Electric Co. internal communication network of channel medium, covers the distribution line of the whole network.In the administrative electrical network of current Yunnan Power Grid Company, 35KV, 66KV, 110KV and above transformer station possess bone optical fiber communication substantially, possess to 1*2M or 10M Ethernet interface, possess the network foundation to downward-extension on this basis.Optical fiber private network is intended on the basis of power telecom network, extends, cover whole 10KV circuit, Fast Ethernet is extended to each district to distribution, forms optical fiber communication private network.Service route is by 10KV distribution line and low-pressure side business, namely specially becomes the unified access of power information of large user, industry and commerce user and resident, is uploaded to system main website by higher level's transformer substation communication node.As shown in Figure 2.
The construction of this communication network, will solve the channel resource problem of the remote data transmission communication that power consumer electricity consumption gathers at all.Accordingly, system main website and collection site establish reliable communication technology condition, meet the needs of power user power consumption information acquisition system concentrated collection and monitoring:
Fiber optic network intactly covers whole distribution line, specially becomes at each the network interface that large user and public change provide ether interface mode;
The data transfer demands of relative power user power utilization information acquisition system, optical fiber communication private network provides not limited access capacity and data transmission rate at a high speed;
Optical fiber communication private network technology not only communicates reliable and stable, the more important thing is to there is not the potential safety hazard of " third party " by the dedicated communications network that genus company is own.
Public wireless network
Public wireless network communication pattern is called for short in the industry public network channel, it is for the dedicated channel of Utilities Electric Co.'s self-building, use or rent the common communications resource that common communication operator builds, what current power user power utilization information acquisition system was mainly applied is GPRS that China Mobile provides and the cdma network technical service that China Telecom provides, as shown in Figure 3.
Original intention due to public network Channel construction is for the public provides the communication resource, power user power consumption information acquisition system uses during public network channel and a series of technological means must be adopted to meet self-demand, especially should consider emphatically at aspects such as security, reliability, real-time, extensibility, economy.
230MHz radio communication private network
230MHz wireless private network communication pattern is called for short 230 private networks, it be utilize the National Radio council for electric power load control ratify special, in 230,000,000 band limits 15 duplexing frequency and ten single power frequency points are built, the data resource communication be carried on analog wireless communication technology basis, once the main technical equipment of centralized electric power load control, at present still by company of majority net province as the information acquisition of electric power large-scale special change user power utilization and monitoring used.
Building relaying continuation of insurance in power user power consumption information acquisition system and stay 230 private network patterns, is the makeshift of current technological layer.In view of this pattern is by capacity limit, can limit as the large-scale special change information acquisition of user and the use of monitoring, and actively to the transition of optical fiber private network.
Use 230 private networks, conscientiously must note and implement following technical essential:
1. reasonably networking planning, effectively utilizes frequency multiplexing, makes full use of limited resource and obtain maximum power system capacity;
2. correctly apply the technical characterstics such as the point-to-point and multi-point and common-line of 230 private network technology, ensure the real-time of system responses;
3. adopt reliable radio station fault long hair suppression technology, the stability of safeguards system;
4. the installation quality of strict user's on-site terminal equipment and auxiliary facility, reduces system cloud gray model maintenance workload.
Based on the point-to-point communication of Ethernet
Point-to-point communication based on Ethernet adopts brand-new data acquisition modes, casts aside traditional concentrator, collector pattern, directly by passing through main website, optical fiber, the meter reading of Ethernet change server direct connection.Improve the validity of the real-time of checking meter and far control.The mode of current employing is, carries out protocol conversion 485 be converted to ICP/IP protocol by Ethernet converter, sets up fiber optic Ethernet network and main website center Direct Communication.Protocol conversion apparatus is adopted to set up fiber optic Ethernet network, communication modes adopts computer network with standard network protocol TCP/IP mode, physical channel adopts optical fiber, the reliability of communication, efficiency, bandwidth compare traditional approach be greatly improved, the communication bottleneck solving acquisition mode in the past decreases communication link, the monolithic electric energy meter reading response time is less than 0.5 second, collection is copied disposable collection success ratio and is reached more than 99%, real-time data acquisition success ratio reaches more than 99%, control success ratio far away reaches more than 99% in real time, as shown in Figure 4.
Main problems analysis
Build based on traditional communication mode, the emerging communication technology is used not enough
By the research to metering automation main website telecommunication mode in industry, in the system of current construction, all the traditional communication mode of application for low-voltage customer majority, by GPRS or the access of radio communication private network, affect larger by the factor such as weather, environment, communication reliability is low, cannot support the application of real-time.
Based on base application, analytic function is not enough and shortage forecast function
According to the analysis of the quantifying master function specification in industry, in the function of preconsolidation stress, emphatically with basic application, emphasis is also to gather the data such as the power consumption of user and load, comprehensive analytic function wretched insufficiency, substantially there is no forecast function, the services such as the deeper management of power use, energy-saving consulting cannot be provided for client.
Do not manage with customer grouping and combine, to fine-grained management underbraced
According to the analysis of the quantifying master function specification in industry, in the function of preconsolidation stress, emphatically with basic application, emphasis is also to gather the data such as the power consumption of user and load, manage in conjunction with customer grouping, for providing differentiated service, differentiation monitoring scheme can not be formulated to key customer and carries out Monitoring Service.
Lack the application of real-time, lack of wisdom warning function
By the analysis to metering automation master function, existing application function substantially all belongs to post type, does not have the application of real-time, does not play the advantage of metering automation main website, for client provides intelligent Warning Service, to the underbraced of customer service ability.
With other application system hyposynergias of enterprises, customer demand cannot be transmitted fast
System and the information-based application system of other enterprise-levels, such as the systematic collaboration such as goods and materials, capital construction is not enough, after load Analysis is carried out to user, after overlay analysis is carried out to line load, if there is industry to expand limited situation, fast the demand of user cannot be passed to the departments such as planning, collaborative work scarce capacity.
Summary of the invention
The present invention, just in order to solve an above-mentioned difficult problem, proposing a kind of large user's multiplexing electric abnormality early warning system, copying according to existing collection, the system such as cross complaint electric flux monitoring, the integrated platform of application data, integration utilizes data, in conjunction with the method for load Analysis, load prediction, and design and development native system.The object of the invention is to realize by following technical solution.
Large user's multiplexing electric abnormality early warning system that many nets merge, the present invention is characterised in that: this system comprises data acquisition module, infrastructure service module, multiplexing electric abnormality warning module, emphasis user monitor module, scientific utilization of electricity administration module, load Analysis module, load prediction module, information issuing module; Annexation is: data acquisition module, infrastructure service module, multiplexing electric abnormality warning module, emphasis user monitor module, scientific utilization of electricity administration module, information issuing module sequentially connect, information issuing module is also connected with infrastructure service module, and emphasis user monitor module, scientific utilization of electricity administration module are also connected with infrastructure service module respectively; Load Analysis module, load prediction module are connected with scientific utilization of electricity administration module respectively.
Specific works flow process is:
Step one: multiplexing electric abnormality early warning system is by data collecting module collected user power utilization information;
Step 2: data acquisition module calls infrastructure service module, is stored to database by user power utilization information;
Step 3: after data are stored to database by infrastructure service module, notice multiplexing electric abnormality warning module, multiplexing electric abnormality warning module is compared according to the error code preset in system and collection multiplexing electric abnormality information, judge whether the situation that there is multiplexing electric abnormality, simultaneously, call infrastructure service module, comparison result is stored to database;
Step 4: multiplexing electric abnormality warning module pushes information to emphasis user monitor module, judge whether to need to start emphasis user service procedure, call scientific utilization of electricity administration module simultaneously, for user power utilization situation, call load Analysis or load prediction module, analyze user power utilization situation, predicted anomaly information, on the impact of user, generates corresponding treatment advice for user's inquiry simultaneously;
Step 5: multiplexing electric abnormality early warning system will filter out the user that there is the situations such as multiplexing electric abnormality, the information model that application is preset in advance, the information such as automatic generation note, multimedia message, pass through information issuing module, information initiatively pushes to user side, processing procedure is called infrastructure service module stores to database simultaneously;
Step 6: after user receives the multiplexing electric abnormality information of propelling movement, by external service website or 95598 customer service hotlines, understands further, seeks advice from multiplexing electric abnormality situation and treatment measures.
System accepts user's meter reading data, also need to receive user's on-the-spot electricity consumption situation data simultaneously, can in conjunction with user's history electricity consumption situation and consumption, judge the situation of a series of multiplexing electric abnormalities such as demand charge remaining sum, on-the-spot load, power supply quality, also can distinguish the information such as the credit grade of user and the rank of user simultaneously, enable the service plan of differentiation.
In conjunction with user power utilization abnormal conditions, can adopt the situation such as transmission times, the time interval, information model preset, the early warning information of intelligentized generation close friend, meanwhile, by the advice method that user is customized in advance, pushes to user side by early warning situation.
No matter be the result of the collection in worksite power information of returning and systematic analysis, calculating, all store in a database, user can pass through cell-phone customer terminal at any time, the external site for service of enterprise, channel such as customer service hotline 95598 grade, query calls at any time.
According to the multiplexing electric abnormality situation at user scene, system active analysis can go out the information such as Exception Type, anomalous effects, also can generate intelligentized treatment advice simultaneously, for user's decision-making, alleviates user's loss.
User power utilization abnormity early warning based on metering automation system is applied in and is divided into data collection layer, data application layer and customer service layer 3 level in logic.As shown in Figure 5.
Data collection layer: metering automation system, by passages such as power private network, GPRS, 230MHz power private network, Ethernets, gathers the corresponding power information of customer side terminal and curstomer's site event.Obtain the information such as customer side terminal electricity consumption that metering automation system acquisition arrives and event based on metering automation system user multiplexing electric abnormality early warning application by Web Service or Ftp mode, be stored in local data base for the service logic that data application layer sets.Obtain data can adopt timing acquisition or obtain two kinds of modes as required.
Data application layer: according to business rule, application program and business datum carry out alternately, realizing the process of operation flow/state and the formulation of business rule.Customer Service people can according to customer segmentation situation, Monitoring Rules is set to large user, emphasis user, concern user, system obtains the terminal affair of metering automation system acquisition according to Monitoring Rules, by the means such as screening, electricity charge budget and balance, load Analysis, Sorry, your ticket has not enough value, load transfinites etc. affects the event of client's electricity consumption in the monitoring client electricity charge, and carry out early warning according to system thresholds to client.In the design of data application layer, the design philosophy of " service-oriented " should be fully demonstrated, benchmark is treated to the multi-tier systematic structure of current advanced person and cluster, and adopt service-oriented design thought and SOA Technical Architecture, all kinds of service logic is all deployed on server zone with the form apportion of serviced component, these services must be supported to split flexibly, deployment strategy of recombinating, and improve availability and the extendability of system.
Customer service layer: after data application layer is comprehensively analyzed situations such as client's load, the electricity charge, electricity, to the abnormal conditions exceeding threshold values, by integrating enterprise application platform, as: SMS platform, call center's voice platform, mailing system etc., by modes such as note, mail, voice, from trend, client sends early warning information, realizes the automatic discovery of multiplexing electric abnormality, active forewarning, becomes and thinks that the customer service of passive type is into active customer service.In addition, the application of this research can also by the information channel of online business hall, enterprise portal, the services such as inquiry, assessment, consulting are provided to user, help client to grasp the electricity consumption situation of self, the rationalization guiding of scientific utilization of electricity, Event tourism can also be realized.
Present system structure is:
User power utilization abnormity early warning based on metering automation system is applied primarily of module compositions such as multiplexing electric abnormality early warning, load Analysis, emphasis user monitoring, scientific utilization of electricity management, load prediction, infrastructure services.As shown in Figure 6.
The invention has the beneficial effects as follows:
1, marketing management and control ability is strengthened
By the business combing in the construction of power distribution network metering automation and load management related application and strengthened research process, break department's barrier, realize inter-sectional business cooperation and flow process through, realize the transformation from " functional management " to " workflow management ".Specification optimizes operation flow, realizes service management flow, standardization, real time implementation, promotes fine-grained management development, impels company management to develop to lean management from low level management.
The application such as assistant analysis are expanded by industry, can change in traditional industry expansion work and inaccurate situation is assessed to customer charge, in conjunction with the load curve of typical user and the overlay analysis of circuit current loads, the accuracy rate of load Analysis can be improved, the situation that Timeliness coverage load transfinites, and integrated by multiple application system, user power utilization demand is passed to fast the departments such as planning, capital construction, realizes the closed loop management of user's request.By the weak link of Timeliness coverage marketing work, timely leakage detection is filled a vacancy, and promotes the Continual Improvement of marketing work quality, service quality, General Promotion business performance, good service level and marketing operation management and control ability.
2, marketing lean managerial ability is improved
By the construction of power distribution network metering automation and load management related application, user power utilization situation can be checked easily by power supply enterprise, the electricity using at the peak time situation, customer charge distribution situation etc. of effective grasp client, when formulating ordered electric scheme, client's need for electricity can be taken into full account and formulate flexibility and to avoid the peak hour working mechanism, improve customer involvement degree and right to know, user is allowed to understand the electricity consumption situation of oneself, cooperated power supply enterprise carries out ordered electric work, accomplish on " Bu La road of rationing the power supply; the not underproduction of avoiding the peak hour ", consciously to avoid the peak hour.
Accompanying drawing explanation
Fig. 1 is structural representation of the present invention;
Fig. 2 is optical fiber private network schematic diagram;
Fig. 3 is GPRS/CDMA wireless public network networking mode schematic diagram;
Fig. 4 connects schematic diagram based on Ethernet real-time point-to-point centralized meter reading system for electric energy meter;
Fig. 5 is user power utilization abnormity early warning building-block of logic;
Fig. 6 is user power utilization abnormity early warning application structure figure;
Fig. 7 is user power utilization abnormity early warning integrated morphology figure.
Embodiment
As Fig. 1, large user's multiplexing electric abnormality early warning system that many nets merge, this system comprises data acquisition module, infrastructure service module, multiplexing electric abnormality warning module, emphasis user monitor module, scientific utilization of electricity administration module, load Analysis module, load prediction module, information issuing module; Annexation is: data acquisition module, infrastructure service module, multiplexing electric abnormality warning module, emphasis user monitor module, scientific utilization of electricity administration module, information issuing module sequentially connect, information issuing module is also connected with infrastructure service module, and emphasis user monitor module, scientific utilization of electricity administration module are also connected with infrastructure service module respectively; Load Analysis module, load prediction module are connected with scientific utilization of electricity administration module respectively.
Application integration is that multiplexing electric abnormality early warning application cooperatively interacts jointly complete the important service processing links of complete business flow process with other enterprise's application platforms, and application integration combing and normalized by definition are completion system decoupling zeros, realize the important leverage of system long term planning target.Application integration structure as shown in Figure 7.
Integration mode
According to preliminary analysis, user power utilization abnormity early warning applies main integrating metrology automated system collection site data, integrated SMS platform, mailing system, call center's voice platform, online business hall, enterprise portal realize early warning and information inquiry service, the important enterprise application platform of above system Dou Shi Yunnan Power Grid Company present stage support day to day operation.According to " the application Integrating specification that CHINA SOUTHERN POWER company is service-oriented ", it is alternately integrated that enterprise application system should adopt WebService to carry out by integration platform for heterogeneous information sources, realizes the unified standard to Integration Services construction, unified management and control.
Implementation procedure
Service Source, as ISP, is linked into integration platform for heterogeneous information sources by Web Service, JDBC or other protocol adaptor by enterprise's application platforms such as SMS platform, realize Web service to outgoing.User power utilization abnormity early warning application platform, as service consumer, accesses integration platform for heterogeneous information sources by Web Service mode, realizes calling of service.
User power utilization abnormity early warning application as ISP, service is linked into integration platform for heterogeneous information sources by Web Service mode, realize serve to outgoing.Enterprise answers application platform to access integration platform for heterogeneous information sources as service consumer by Web Service mode, realizes calling of service.
Integrated for big data quantity, data file can be stored in ftp server by ISP, and service consumer read data files from ftp server carries out data interaction.ISP, service consumer write and read operation ftp server by integration platform for heterogeneous information sources assembling Web service.
For asynchronous integrated, data can be sent in JMS queue by ISP, and service consumer reads message and carries out data interaction from JMS queue.ISP, service consumer write and read operation JMS server by integration platform for heterogeneous information sources assembling Web service.
Claims (1)
1. large user's multiplexing electric abnormality early warning system that more than, net merges, is characterized in that: this system comprises data acquisition module, infrastructure service module, multiplexing electric abnormality warning module, emphasis user monitor module, scientific utilization of electricity administration module, load Analysis module, load prediction module, information issuing module; Annexation is: data acquisition module, infrastructure service module, multiplexing electric abnormality warning module, emphasis user monitor module, scientific utilization of electricity administration module, information issuing module sequentially connect, information issuing module is also connected with infrastructure service module, and emphasis user monitor module, scientific utilization of electricity administration module are also connected with infrastructure service module respectively; Load Analysis module, load prediction module are connected with scientific utilization of electricity administration module respectively.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410649176.XA CN104361452A (en) | 2014-11-14 | 2014-11-14 | Big consumer abnormal electricity consumption pre-warning system with multiple networks integrated |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410649176.XA CN104361452A (en) | 2014-11-14 | 2014-11-14 | Big consumer abnormal electricity consumption pre-warning system with multiple networks integrated |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104361452A true CN104361452A (en) | 2015-02-18 |
Family
ID=52528710
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410649176.XA Pending CN104361452A (en) | 2014-11-14 | 2014-11-14 | Big consumer abnormal electricity consumption pre-warning system with multiple networks integrated |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104361452A (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105046398A (en) * | 2015-05-29 | 2015-11-11 | 中国南方电网有限责任公司 | System and method for intelligently carrying out business expansion aided installation |
| CN106022592A (en) * | 2016-05-16 | 2016-10-12 | 中国电子科技集团公司电子科学研究院 | Power consumption behavior anomaly detection and public security risk early warning method and device |
| CN107748940A (en) * | 2017-11-16 | 2018-03-02 | 国网上海市电力公司 | A kind of energy conservation potential Quantitative prediction methods |
| CN107834706A (en) * | 2017-12-05 | 2018-03-23 | 北京小米移动软件有限公司 | Power failure monitor and monitoring method |
| CN108680805A (en) * | 2018-05-08 | 2018-10-19 | 广东昊阳电力建设有限公司 | Online power analysis forecasting system and electric system |
| CN109584103A (en) * | 2018-12-28 | 2019-04-05 | 广西电网有限责任公司防城港供电局 | A kind of electric network fault fast reaction and educated decisions support system |
| CN110909042A (en) * | 2019-11-14 | 2020-03-24 | 国网山东省电力公司青岛市即墨区供电公司 | Intelligent household power supply service system based on cloud data |
| CN113268030A (en) * | 2021-06-01 | 2021-08-17 | 中国华能集团有限公司河北雄安分公司 | City comprehensive energy intelligent energy utilization terminal system based on 5G technology |
| CN114301057A (en) * | 2021-11-23 | 2022-04-08 | 广西艾科普物联技术有限公司 | Method and system for distinguishing electric equipment through load condition |
| CN114552787A (en) * | 2022-03-04 | 2022-05-27 | 国网山东省电力公司临沂供电公司 | Power grid intelligent system based on big data acquisition |
| CN117475593A (en) * | 2023-12-26 | 2024-01-30 | 江苏濠汉信息技术有限公司 | Advanced intelligent early warning method and device for abnormal load of electricity utilization terminal |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11250137A (en) * | 1998-03-03 | 1999-09-17 | Osaka Gas Co Ltd | Rate controlling meter reader |
| CN102967735A (en) * | 2012-12-04 | 2013-03-13 | 辽宁省电力有限公司抚顺供电公司 | Electricity stealing preventing exception analysis system |
| CN103647276A (en) * | 2013-12-10 | 2014-03-19 | 国家电网公司 | Electric energy quality early warning system and method thereof |
| CN203589847U (en) * | 2013-12-10 | 2014-05-07 | 国家电网公司 | Real-time user electricity utilization data monitoring system |
-
2014
- 2014-11-14 CN CN201410649176.XA patent/CN104361452A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11250137A (en) * | 1998-03-03 | 1999-09-17 | Osaka Gas Co Ltd | Rate controlling meter reader |
| CN102967735A (en) * | 2012-12-04 | 2013-03-13 | 辽宁省电力有限公司抚顺供电公司 | Electricity stealing preventing exception analysis system |
| CN103647276A (en) * | 2013-12-10 | 2014-03-19 | 国家电网公司 | Electric energy quality early warning system and method thereof |
| CN203589847U (en) * | 2013-12-10 | 2014-05-07 | 国家电网公司 | Real-time user electricity utilization data monitoring system |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105046398A (en) * | 2015-05-29 | 2015-11-11 | 中国南方电网有限责任公司 | System and method for intelligently carrying out business expansion aided installation |
| CN106022592A (en) * | 2016-05-16 | 2016-10-12 | 中国电子科技集团公司电子科学研究院 | Power consumption behavior anomaly detection and public security risk early warning method and device |
| CN106022592B (en) * | 2016-05-16 | 2021-12-28 | 中国电子科技集团公司电子科学研究院 | Electricity consumption behavior abnormity detection and public security risk early warning method and device |
| CN107748940B (en) * | 2017-11-16 | 2021-10-12 | 国网上海市电力公司 | Power-saving potential quantitative prediction method |
| CN107748940A (en) * | 2017-11-16 | 2018-03-02 | 国网上海市电力公司 | A kind of energy conservation potential Quantitative prediction methods |
| CN107834706A (en) * | 2017-12-05 | 2018-03-23 | 北京小米移动软件有限公司 | Power failure monitor and monitoring method |
| CN108680805A (en) * | 2018-05-08 | 2018-10-19 | 广东昊阳电力建设有限公司 | Online power analysis forecasting system and electric system |
| CN109584103A (en) * | 2018-12-28 | 2019-04-05 | 广西电网有限责任公司防城港供电局 | A kind of electric network fault fast reaction and educated decisions support system |
| CN110909042A (en) * | 2019-11-14 | 2020-03-24 | 国网山东省电力公司青岛市即墨区供电公司 | Intelligent household power supply service system based on cloud data |
| CN113268030A (en) * | 2021-06-01 | 2021-08-17 | 中国华能集团有限公司河北雄安分公司 | City comprehensive energy intelligent energy utilization terminal system based on 5G technology |
| CN114301057A (en) * | 2021-11-23 | 2022-04-08 | 广西艾科普物联技术有限公司 | Method and system for distinguishing electric equipment through load condition |
| CN114552787A (en) * | 2022-03-04 | 2022-05-27 | 国网山东省电力公司临沂供电公司 | Power grid intelligent system based on big data acquisition |
| CN114552787B (en) * | 2022-03-04 | 2024-01-30 | 国网山东省电力公司临沂供电公司 | Electric wire netting intelligent system based on big data acquisition |
| CN117475593A (en) * | 2023-12-26 | 2024-01-30 | 江苏濠汉信息技术有限公司 | Advanced intelligent early warning method and device for abnormal load of electricity utilization terminal |
| CN117475593B (en) * | 2023-12-26 | 2024-04-12 | 江苏濠汉信息技术有限公司 | Advanced intelligent early warning method and device for abnormal load of electricity utilization terminal |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104361452A (en) | Big consumer abnormal electricity consumption pre-warning system with multiple networks integrated | |
| CN103259335B (en) | Intelligent demand response and demand side optimizing operation system | |
| CN104124756B (en) | A kind of provincial power distribution network operation monitoring system based on whole network data | |
| CN102968696A (en) | Marketing-distribution-dispatch business system information fusion and application method | |
| CN102722764A (en) | Integrated power grid optimization auxiliary decision analysis system | |
| CN112116492B (en) | Data sharing management system and method based on ubiquitous power Internet of things | |
| CN113949155A (en) | Panoramic power quality monitoring system with real-time monitoring function | |
| Sun et al. | Research on IoT architecture and application scheme for smart grid | |
| CN205787141U (en) | The terminal unit of supervision substation operation person works's state | |
| Liu et al. | Integrated power grid management system based on micro service | |
| Fu et al. | An edge computing framework for digital grid | |
| CN107634987B (en) | Intelligent trans-provincial entrustment verification system and method based on resource optimization configuration | |
| Duan et al. | Unified management method for multi-dimensional basic power resources | |
| CN107301606A (en) | A kind of energy management monitoring system | |
| HAIZHU et al. | Research and implementation of intelligent analysis system for comprehensive outage management based on big data technology | |
| CN105117486A (en) | Power distribution network data processing method and device | |
| Yuan et al. | Architecture Design and Application Prospect of Predictive Maintenance Based on Multi-station Integration Edge Computing in Power Field | |
| Long et al. | Demand-side ubiquitous electric power internet of things: Architecture, functionalities and technologies | |
| Peng et al. | A New Dispatch Control Integration System of the Smart Grid Based on the Regional Network Centralized Protected Mode | |
| Xiao-hui et al. | Research on smart distribution network system architecture | |
| CN208143247U (en) | A kind of communication system of container terminal list case energy consumption assessment | |
| Ou et al. | Research on Key Technologies of communication and computing in Smart Grid | |
| Han et al. | The application research of multi-source heterogeneous energy big data analysis | |
| Yao et al. | Based on the integration of power grid topology model of distribution network fault analysis applications | |
| Terese et al. | City distribution automation projects-Economic justification aspects |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20150218 |