CN103532233A - Electricity utilization information acquisition abnormity accuracy positioning system on basis of GPRS (General Packet Radio Service) technology - Google Patents
Electricity utilization information acquisition abnormity accuracy positioning system on basis of GPRS (General Packet Radio Service) technology Download PDFInfo
- Publication number
- CN103532233A CN103532233A CN201310476960.0A CN201310476960A CN103532233A CN 103532233 A CN103532233 A CN 103532233A CN 201310476960 A CN201310476960 A CN 201310476960A CN 103532233 A CN103532233 A CN 103532233A
- Authority
- CN
- China
- Prior art keywords
- module
- data
- microprocessor
- gprs
- server
- 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.)
- Granted
Links
Images
Classifications
-
- 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
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
-
- 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/126—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wireless data transmission
Abstract
The invention discloses an electricity utilization information acquisition abnormity accuracy positioning system on the basis of a GPRS (General Packet Radio Service) technology, wherein a microprocessor is connected with an electricity utilization information acquisition device by an RS485 module to acquire data in the electricity utilization information acquisition device; the microprocessor stores the acquired data into a Flash module and also transmits the acquired data to a GPRS module by an RS232 module after processing the acquired data; the GPRS module is communicated with a DNS (Domain Name Server) server to acquire an IP (Internet Protocol) address of a TCP (Transmission Control Protocol) communication server; then the GPRS module is communicated with the TCP communication server and sends the data processed by the microprocessor to the TCP communication server and the TCP communication server stores the data processed by the microprocessor into a database server; a PC (Personal Computer) machine completes access to the data in the database server; and a power supply management module is connected with the power supply end of the microprocessor. The electricity utilization information acquisition abnormity accuracy positioning system can be used for carrying out positioning on a position with an electricity utilization failure.
Description
Technical field
The power information the present invention relates in electrical network gathers field, specifically a kind of power information acquisition abnormity Precise Position System based on GPRS technology.
Background technology
Under current expanding economy trend, traditional electrical network can not meet the demand of power industry, and intelligent grid becomes developing direction.And just current, electrical network has become basis and the important component part of industrialization, informationized society development.Along with the continuous propelling of market-oriented reform, intelligent grid has become the only way of modern power network technical development.Wherein, development along with electronic technology, power information acquisition system provides practicable technological means for realizing electric quantity acquisition, data statistic analysis and electric weight examination, fundamentally overcome the check meter drawback of pattern of Traditional Man, by the in-depth of system, apply simultaneously, for electrical management provides modern means, changed gradually people's social activities mode, become an indispensable part in some areas people life.
Yet the power information acquisition abnormity of answering in contrast accurately location never has good solution.Centralized meter-reading system for example, it comprises that the front-end collection that undertaken by some cycles and background system are concentrated and gathers.Although can meet like this requirement of load Analysis and low-voltage monitoring, be difficult to meet the needs of distribution repair based on condition of component.This system does not possess the function of active reporting fault message yet, cannot meet the requirement of breakdown repair yet.When electric energy meter breaks down, can only lean on subscriber phone feedback could determine that electric energy meter breaks down, and definite location of fault.This does not reach intelligent grid desired " self-healing property ", " interactive " far away.Therefore find a kind of rationally effective power information acquisition abnormity accurately to locate the inevitable requirement of solution ，Shi China development " electrical network 2.0 ".
The history of low pressure carrier wave centralized meter-reading system can be traced back to the end of the nineties in last century, rapid progress due to correlative technology field, main is the extensive use of GPRS, and the data transmission channel in centralized meter-reading system is improved greatly, and the low pressure carrier wave collection technology of copying starts to move to maturity.Even to this day, communication development in science and technology is swift and violent, the development of coding and compressionism, and the popularization of 3G network, all makes centralized meter-reading system obtain significant progress.At this moment nucleus equipment-the collector of centralized meter-reading system is due to the raising of manufacturing technology, and performance tends towards stability; Meanwhile, concentrator development is also very fast, the lifting at full speed of processor of single chip computer performance, and the increase of memory space, all makes centralized meter-reading system further be tending towards ripe.
And, high speed development along with computer science, marketing mis system in management level is also evolved into from traditional C/S model the open B/S system that has more, abundanter database interface Ji Yu higher authorities and the interface of extraneous exchange message are not only provided, but also have expanded traditional mis system is conceptive----advocate and utilize to greatest extent existing data-interface for power industry modern service.
The main following methods that adopts in present domestic power information acquisition abnormity location:
1. strengthen extension and the expanded application of power distribution automation DA function, Distribution Automation Technology is extended to low-voltage platform area, fault location is 0.4 kilovolt of distribution transforming;
2. use the geography information emulation power grid GIS system based on SCADA to extend to collection table case, in mutual importing of fault location, production MIS and the interface of marketing MIS, the connection of SCADA dispatching and graphics standard form etc., and use GPS location distributing failure emergency repair vehicle or position indicator to carry out fault location, clear failure place and power failure range.
3. distribution transforming intelligent terminal is installed in low-voltage platform area, monitoring A, B, C, N tri-line currents, zero-sequence current and three-phase voltage, according to fluctuation of the sudden change of electric current and overcurrent, fast segment signal, voltage etc., judge multiplexing electric abnormality He Tai district fault, this information uploads to main website and carries out fault location and be presented in GIS GIS-Geographic Information System.
Above method is used in some areas, has obtained certain effect.But technical sophistication, maintenance difficulties that they use are large, can not effectively carry out low-voltage platform area fault location.
For power grid enterprises, information flow is not the aid of flow of power and Business Stream, but the control axis of power grid enterprises and nervous system are the resources of electric power enterprise most worthy.
Summary of the invention
The problem that the present invention need to solve is exchange complicated, information resources that distribute, isomery in power distribution network institute overlay area, conversion, integrated and shared.From the data that gather, obtain the address information of fault concentrator, Source of Gateway Meter or electric energy meter, determine the particular location that fault occurs.
Thereby need to carry out data mining to the data that collect, data mining is exactly from mass data, to obtain non-trivial process effective, novel, potentially useful, final intelligible pattern.Data mining is the data analysing method of a class profound level in fact, analyzes and organizes original data, makes induction, therefrom excavates potential pattern, for managerial decision making provides support.By data mining technology, excavate potential pattern, predict future trend, for electrical production decision-making provides senior support.For the integrated of data message, with shared, based on distribution network system feature and current technical development, there are five kinds of system integration technologies to can be used for data message integrated and shared: (1) integrated technology based on XML; (2) integrated technology based on stipulations; (3) integrated technology based on API; (4) integrated technology based on database; (5) integrated technology based on blackboard decision model.
As follows for solving the problems of the technologies described above the technical solution used in the present invention: the power information acquisition abnormity Precise Position System based on GPRS technology, comprises power information harvester, GPRS module, PC, RS485 module, microprocessor, RS232 module, Flash module, power management module, TCP communication server, dns server and database server; Wherein, described microprocessor is connected with power information harvester by RS485 module, gathers the data in power information harvester; Microprocessor is saved in Flash module by the data that collect, and microprocessor also will be transferred to GPRS module by RS232 module after the data processing collecting; GPRS module is communicated by letter with dns server, obtains the IP address of TCP communication server; Then GPRS module and TCP communication server communicate, and the data after microprocessor processes are sent to TCP communication server, and TCP communication server is saved in database server by the data after microprocessor processes; The access of data in PC database server; Power management module is connected with the power end of microprocessor.
Particularly, above-mentioned power information harvester is concentrator, Source of Gateway Meter or electric energy meter.
Further, the processing that above-mentioned microprocessor carries out the data that collect is to judge that whether data surpass default threshold values, if surpassed, send with alert data.
The useful technique effect that the present invention obtains is: be scattered in the low-voltage distribution transformer platform district of different geographical, if adopt traditional group net mode to carry out mass data collection, networking will be very complicated, and cost is also higher.On each distribution transforming peace oral thermometer, a data collection station (consisting of RS485 module, microprocessor, RS232 module, Flash module and power management module) is installed, this terminal is obtained the IP address of TCP communication server from dns server by GPRS network, then data are aggregated into TCP communication server, finally store data into database server, thereby make networking simple.
When concentrator is worked usually, only with the fraction time, by GPRS module, electric quantity metering information is passed in database server, the communications portion of most of the time concentrator is in off position.Utilize this sufficient time period, the data analysis in concentrator is processed, and accurate abnormal ammeter information can be crossed to GPRS and upload onto the server.At other, there is no the electricity consumption region of concentrator, detect the environmental parameter of the terminal equipments such as transformer, terminal equipment is carried out to on-line monitoring, accident analysis and load monitoring.By analyzing operational factor, whether the operating state of analyzing the whole equipment of end is normal.Meanwhile, can will after the result encryption of analysis, by GPRS module, pass in each server.The position that can occur fault like this positions.
Accompanying drawing explanation
Fig. 1 is system block diagram of the present invention;
Fig. 2 is the basic communication flow figure of TCP communication server of the present invention;
Fig. 3 is the basic communication flow figure of GPRS end of the present invention;
Fig. 4 is the flow chart of server active obtaining data in the present invention;
Fig. 5 is the passive flow chart that obtains data of server in the present invention;
Fig. 6 is for improving the flow chart of GSA algorithm.
Embodiment
Referring to Fig. 1, power information acquisition abnormity Precise Position System based on GPRS technology, comprises power information harvester 1, GPRS module 7, PC 11, RS485 module 2, microprocessor 3, RS232 module 4, Flash module 5, power management module 6, TCP communication server 8, dns server 9 and database server 10; Wherein, described microprocessor 3 is connected with power information harvester 1 by RS485 module 2, gathers the data in power information harvester 1; Microprocessor 3 is saved in Flash module 5 by the data that collect, microprocessor 3 also will be transferred to GPRS module 7 by RS232 module 4 after the data processing collecting, this is treated to and judges that whether data surpass default threshold values, if surpassed, send with alert data; GPRS module 7 is communicated by letter with dns server 9, obtains the IP address of TCP communication server 8; Then GPRS module 7 communicates with TCP communication server 8, and the data after microprocessor 3 processing are sent to TCP communication server 8, and the data after TCP communication server 8 is processed microprocessor 3 are saved in database server 10; The access of data in PC 11 database servers 10; Power management module 6 is connected with the power end of microprocessor 3.
It is data collection station that above-mentioned RS485 module 2, microprocessor 3, RS232 module 4, Flash module 5 and power management module 6 are combined as an integral body, is installed together with concentrator, Source of Gateway Meter or electric energy meter.
The abnormal pinpoint WEB system of a set of perfect power information is installed on PC 11.Can malfunctioning node information be added up, be analyzed, the modes such as curve chart, block diagram of can take in WEB provide statistics intuitively as user, and the function of report form statistics can be provided for user.
To with the present embodiment in concentrator, Source of Gateway Meter or electric energy meter, according to relevant criterion, concentrator or Source of Gateway Meter have an infrared communication mouth, two 485 communication ports.Each ammeter all has a unique address, and as the unique identifier of communication, the communications protocol of ammeter adopts DL/T645-2007 communication protocol.Concentrator or Source of Gateway Meter meet national standard, can gather ammeter data, preserve.
A Mobile phone card is installed in each GPRS module 7, in the middle of communication process, can knows phone number, using this identification code as GPRS module 7.The mode of operation of GPRS module 7 is TCP client, can configuration server address, and support broken string from being dynamically connected.The main function of GPRS module 7 is the instruction that receives TCP communication server 8, and is transmitted to concentrator or Source of Gateway Meter, the intact TCP of the issuing communication server 8 of data then concentrator or Source of Gateway Meter being sent.Because the IP address of TCP communication server 8 can change or an Intranet IP, therefore, first GPRS module 7 will obtain the IP address of TCP communication server 8 by dns server 9, then just can carry out data transmit-receive.
The major function of TCP communication server 8 is the data that acquisition terminal sends by GPRS that transmit and receive data.In logic, it can be interpreted as to 485 hubs.It sends packet to concentrator or Source of Gateway Meter (GPRS module forwards) by IP network, then receives the data (GPRS module forwards) that concentrator or Source of Gateway Meter feed back.Then, according to communication protocol, to decoding data, and be saved in database server.The support of TCP server gathers (timing acquiring, according to plan task collection etc.), the manual function such as collection automatically.The functions such as the pairing of TCP server management device, presence maintenance, presence warning.The basic communication flow of TCP communication server as shown in Figure 2.Basic communication flow during GPRS module forwards as shown in Figure 3.
The data that the main storage concentrator of database server 10 or Source of Gateway Meter or electric energy meter send by GPRS.
Data collection station is embedded system, is arranged on same position with concentrator or Source of Gateway Meter or electric energy meter.By adopting the RS485 module 2 of 485 chips, microprocessor 3, the RS232 module 4 that adopts 232 chips, Flash module 5 and the power management module 6 of employing STM32 micro-chip processor form, be provided with two interfaces, one is RS485 interface, for communicating by letter with concentrator or Source of Gateway Meter or electric energy meter, gather the data of concentrator or Source of Gateway Meter or electric energy meter; Another is RS232 or RS485 interface, for GPRS module communication, upload warning message and receive promising and configuration order from far-end server.The data analysis of 3 pairs of concentrators of microprocessor or Source of Gateway Meter or electric energy meter judges whether to exceed threshold value, if surpassed, is abnormal data, will have abnormal data upload to server, i.e. passive data of obtaining of server, and flow process is as shown in Figure 5.While server also timing (time is relatively long) goes active obtaining Source of Gateway Meter data by single-chip microcomputer transparent transmission.Server end also can for example, by the configuration parameter in aerial configuration modification collecting device (revise analyzing the kind of data, the alarm threshold value of Update Table), i.e. server active obtaining data, and flow process is as shown in Figure 4.The advantage of two kinds of modes of adopter is to save GPRS flow, and server end needs data volume to be processed few.
Microprocessor 3 determines whether that the arthmetic statement that abnormal data adopts is as follows.Abnormal information in electric power system is grasped real-time network operation state for dispatcher, makes correct scheduling decision influential.The present invention adopts artificial neural net, cluster analysis to combine with gap statistic algorithm, and algorithm is improved, and utilizes and improves the detection that algorithm is realized abnormal data.
This algorithm is a kind of unsupervised learning algorithm.By artificial neural net, image data is carried out to preliminary treatment, cluster analysis is carried out cluster to pretreated data, and gap statistic algorithm is determined best cluster number automatically.While containing abnormal data in image data, after gap statistic algorithm is determined best cluster number, clustering algorithm is polymerized to different classes image data, realizes the separated of normal data and abnormal data, thereby can go out the abnormal data in power information image data by Detection and identification.During the mass data of algorithm in processing large electrical network, amount of calculation can be relatively large, and computational speed is subject to the impact of data volume size, need to improve algorithm, makes algorithm be applicable to the processing of mass data.
GSA arthmetic statement after improvement is as follows: in GSA method, defined a gap (Gap) statistic as the formula (1):
Gap(k)=E(ln(W
r，k))-ln(W
k) （1）
In order to reduce the non-linear error of bringing, in formula (1), to W
r, kgot logarithm, made it more be tending towards linear, but so directly caused calculating E (ln (W
r, k)) at the expression with reference to lower respectively, can only adopt the method for sample estimation to obtain E (ln (W
r, k)) approximation, thereby the error of bringing.In fact, owing to producing the randomness of reference data set, can think ln (W
r, k) be a stochastic variable, and the regularity of distribution of this stochastic variable is complicated, thus cause Gap statistic to represent with expression, therefore can only adopt sample just can make GSA algorithm become a practicable method to totally estimating.
The important step of GSA method is to produce reference data in suitable reference distribution situation, but the generation of reference data is random, so each random error producing is also different.To the random error producing, be that the mode estimated by sample is introduced simulation error and characterized, simulation error is relevant with the array F of sample statistics and the number of every group of sample, when carrying out the larger calculating of mass data or F value, the amount of calculation of simulation error is very large, computational speed can be affected, and can not meet the anomalous data identification requirement of mass data in real-time grid.
What cluster dispersion was portrayed is the summation of the evaluation dispersion degree of k cluster, and variance is used for portraying the average dispersion degree of data, thus the Gap statistic in formula (1) is revised, and revised Gap statistic is suc as formula (2):
GaP(k)＝ln(E(W
r，k))-ln(W
k)t (2)
Fig. 6 is for improving the flow chart of GSA algorithm, and key step is as follows:
1) by neural network algorithm, data are carried out to preliminary treatment, pretreated data are carried out to cluster, and the cluster dispersion while calculating different cluster number;
2), to be uniformly distributed as a reference, calculate the desired value of the cluster dispersion that different cluster number k are corresponding;
3) calculate Gap(k corresponding to different cluster number k) value;
4) determine minimum k value, and carry out abnormal data detection.
Claims (4)
1. the power information acquisition abnormity Precise Position System based on GPRS technology, comprise power information harvester (1), GPRS module (7) and PC (11), it is characterized in that: also comprise RS485 module (2), microprocessor (3), RS232 module (4), Flash module (5), power management module (6), TCP communication server (8), dns server (9) and database server (10); Wherein, described microprocessor (3) is connected with power information harvester (1) by RS485 module (2), gathers the data in power information harvester (1); Microprocessor (3) is saved in Flash module (5) by the data that collect, and microprocessor (3) also will be transferred to GPRS module (7) by RS232 module (4) after the data processing collecting; GPRS module (7) is communicated by letter with dns server (9), obtains the IP address of TCP communication server (8); Then GPRS module (7) communicates with TCP communication server (8), and the data after microprocessor (3) processing are sent to TCP communication server (8), the data after TCP communication server (8) is processed microprocessor (3) are saved in database server (10); The access of data in PC (11) database server (10); Power management module (6) is connected with the power end of microprocessor (3).
2. the power information acquisition abnormity Precise Position System based on GPRS technology according to claim 1, is characterized in that: described power information harvester (1) is concentrator, Source of Gateway Meter or electric energy meter.
3. the power information acquisition abnormity Precise Position System based on GPRS technology according to claim 2, it is characterized in that: described RS485 module (2), microprocessor (3), RS232 module (4), Flash module (5) and power management module (6) are combined as an integral body, are installed together with concentrator, Source of Gateway Meter or electric energy meter.
4. claim is according to the power information acquisition abnormity Precise Position System based on GPRS technology described in 1, it is characterized in that: the processing that described microprocessor (3) carries out the data that collect is to judge that whether data surpass default threshold values, if surpassed, send with alert data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310476960.0A CN103532233B (en) | 2013-10-14 | 2013-10-14 | Based on the power information acquisition abnormity Precise Position System of GPRS technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310476960.0A CN103532233B (en) | 2013-10-14 | 2013-10-14 | Based on the power information acquisition abnormity Precise Position System of GPRS technology |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103532233A true CN103532233A (en) | 2014-01-22 |
| CN103532233B CN103532233B (en) | 2016-02-03 |
Family
ID=49934021
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310476960.0A Active CN103532233B (en) | 2013-10-14 | 2013-10-14 | Based on the power information acquisition abnormity Precise Position System of GPRS technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103532233B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105427542A (en) * | 2015-11-27 | 2016-03-23 | 国网重庆市电力公司电力科学研究院 | Alarming method for abnormity of distribution transformer |
| CN105610997A (en) * | 2016-02-29 | 2016-05-25 | 东南大学 | Real-time data transmission method based on dynamic IP address of mobile terminal |
| CN113128117A (en) * | 2021-04-20 | 2021-07-16 | 河南能创电子科技有限公司 | Low-voltage centralized reading, operation and maintenance simulation device based on AI artificial neural network research |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR100964296B1 (en) * | 2009-12-15 | 2010-06-16 | 한국전력거래소 | A data acquisition and supervisory control system |
| CN102055198A (en) * | 2010-12-28 | 2011-05-11 | 重庆樱花电气开关有限公司 | Reactive compensation intelligent monitoring management system |
| CN201928087U (en) * | 2010-12-24 | 2011-08-10 | 江苏电力信息技术有限公司 | Grid-equipment-monitoring and fault-locating wireless system based on SOA (service-oriented architecture) architecture |
| CN202931036U (en) * | 2012-11-23 | 2013-05-08 | 重庆市电力公司南岸供电局 | Transformer real-time data analysis system based on gateway meter |
| CN203632354U (en) * | 2013-10-14 | 2014-06-04 | 国网重庆市电力公司客户服务中心 | Electricity consumption information acquisition abnormity positioning system in electric network |
-
2013
- 2013-10-14 CN CN201310476960.0A patent/CN103532233B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR100964296B1 (en) * | 2009-12-15 | 2010-06-16 | 한국전력거래소 | A data acquisition and supervisory control system |
| CN201928087U (en) * | 2010-12-24 | 2011-08-10 | 江苏电力信息技术有限公司 | Grid-equipment-monitoring and fault-locating wireless system based on SOA (service-oriented architecture) architecture |
| CN102055198A (en) * | 2010-12-28 | 2011-05-11 | 重庆樱花电气开关有限公司 | Reactive compensation intelligent monitoring management system |
| CN202931036U (en) * | 2012-11-23 | 2013-05-08 | 重庆市电力公司南岸供电局 | Transformer real-time data analysis system based on gateway meter |
| CN203632354U (en) * | 2013-10-14 | 2014-06-04 | 国网重庆市电力公司客户服务中心 | Electricity consumption information acquisition abnormity positioning system in electric network |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105427542A (en) * | 2015-11-27 | 2016-03-23 | 国网重庆市电力公司电力科学研究院 | Alarming method for abnormity of distribution transformer |
| CN105610997A (en) * | 2016-02-29 | 2016-05-25 | 东南大学 | Real-time data transmission method based on dynamic IP address of mobile terminal |
| CN113128117A (en) * | 2021-04-20 | 2021-07-16 | 河南能创电子科技有限公司 | Low-voltage centralized reading, operation and maintenance simulation device based on AI artificial neural network research |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103532233B (en) | 2016-02-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Salvadori et al. | Smart grid infrastructure using a hybrid network architecture | |
| CN111371185A (en) | Line loss monitoring system and method based on distribution transformer terminal | |
| CN203632354U (en) | Electricity consumption information acquisition abnormity positioning system in electric network | |
| CN106651161A (en) | Acquisition operation and maintenance and dynamic tasking method | |
| CN102856982B (en) | Enterprise energy consumption monitoring and management system | |
| CN105515184A (en) | Wireless sensor network-based cooperative monitoring system of multi-sensor and multi-parameter distribution network | |
| CN110910626A (en) | Energy consumption information acquisition system based on ubiquitous power Internet of things | |
| CN101763598A (en) | Electrical energy management system | |
| CN104751280A (en) | Petrochemical enterprise electric energy consumption monitoring system and data management method thereof | |
| CN106443166B (en) | A kind of kilowatt meter reading-out system based on platform of internet of things | |
| CN113055990A (en) | Energy saving and consumption reducing method and system for wireless base station based on big data mining and AI scheduling | |
| CN104361452A (en) | Big consumer abnormal electricity consumption pre-warning system with multiple networks integrated | |
| CN107508550A (en) | A kind of photovoltaic apparatus monitoring method and system based on Internet of Things | |
| CN107832946A (en) | A kind of power energy monitoring and controlling for workshop and management method and system | |
| CN103532233B (en) | Based on the power information acquisition abnormity Precise Position System of GPRS technology | |
| CN112654022B (en) | Electric power system thing networking data acquisition system based on loRa communication | |
| CN102970178A (en) | Local communication performance analyzer of low-pressure concentrated meter reading terminal | |
| JIAO et al. | Water quality monitoring system based on LoRa | |
| Fei et al. | RETRACTED: Optimization of Communication Network Fault Identification Based on NB-IoT | |
| CN110989418A (en) | Data acquisition system based on RS485 communication and working method thereof | |
| CN107633091A (en) | A kind of automatic power supervisory systems | |
| Guo et al. | Key Technologies and Applications for Intelligent Control of Power 5G Virtual Private Network | |
| CN106384297A (en) | Method and system for operating and maintaining photovoltaic power generation | |
| CN112133071A (en) | Multi-meter metering data acquisition method based on Internet of things technology | |
| CN202975150U (en) | Standard intelligent electric energy meter |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |