CN110659267A - Douglas-Puke-based current three-phase imbalance curve simplification method - Google Patents

Douglas-Puke-based current three-phase imbalance curve simplification method Download PDF

Info

Publication number
CN110659267A
CN110659267A CN201910695550.2A CN201910695550A CN110659267A CN 110659267 A CN110659267 A CN 110659267A CN 201910695550 A CN201910695550 A CN 201910695550A CN 110659267 A CN110659267 A CN 110659267A
Authority
CN
China
Prior art keywords
phase
current
curve
data
unbalance
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
Application number
CN201910695550.2A
Other languages
Chinese (zh)
Inventor
陆沈雄
肖旻砚
林坊辉
徐晓波
卢菲菲
徐志强
涂莹
陈思
俞立
黄巍
范亚伟
吴海红
林捷
赵蜜
柴华明
谢君
张云鹏
陈茂锐
孙晓超
袁琪
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhejiang Huayun Information Technology Co Ltd
Original Assignee
Zhejiang Huayun Information Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Zhejiang Huayun Information Technology Co Ltd filed Critical Zhejiang Huayun Information Technology Co Ltd
Priority to CN201910695550.2A priority Critical patent/CN110659267A/en
Publication of CN110659267A publication Critical patent/CN110659267A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/21Design, administration or maintenance of databases
    • G06F16/215Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25Integrating or interfacing systems involving database management systems
    • G06F16/258Data format conversion from or to a database
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply

Landscapes

  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Economics (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Water Supply & Treatment (AREA)
  • Tourism & Hospitality (AREA)
  • Strategic Management (AREA)
  • General Business, Economics & Management (AREA)
  • Primary Health Care (AREA)
  • Marketing (AREA)
  • Human Resources & Organizations (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Quality & Reliability (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention discloses a Douglas-Puke-based current three-phase imbalance curve simplifying method, and relates to the field of internet and power industry. At present, data points of current three-phase unbalance at each acquisition moment are connected into a curve in a PDF format, and the curve is too dense and the overlapping degree is too high. The stored A, B, C phases and the total current imbalance degree and the corresponding curve are optimized by using a Douglas-Pock algorithm, the first point and the last point of the curve are connected with a straight line in an imaginary way, the distances between all the points and the straight line are calculated, the maximum distance value dmax is found out, the dmax is compared with a tolerance D, and if the dmax is less than D, all the middle points on the curve are discarded; if dmax is larger than or equal to D, a coordinate point corresponding to dmax is reserved, the point is taken as a boundary, the curve is divided into two parts, and the method is repeatedly used for the two parts. The technical scheme optimizes the curves, reduces the number of points of each curve on the premise of ensuring the characteristics of the curve, and meets the performance and display requirements of the curve in PDF format.

Description

Douglas-Puke-based current three-phase imbalance curve simplification method
Technical Field
The invention relates to the field of internet and power industry, in particular to a Douglas-Puke-based current three-phase imbalance curve simplifying method.
Background
The energy internet, a product of combining information technology and renewable energy, provides a feasible technical scheme for solving the problem of effective utilization of the renewable energy. Compared with the smart grid, distributed power generation and micro-grid research developed at present, the energy Internet has certain unique points in concept, technology and method. Therefore, the research on the characteristics and the connotation of the energy internet and the discussion on various key technologies for realizing the energy internet have important theoretical significance and practical value for promoting the development of the energy internet and gradually leading the traditional power grid to evolve to the energy internet. Under the promotion of global energy Internet, the scale of interconnection and intercommunication between China and surrounding countries is primarily established. And China will steadily promote the construction of domestic energy Internet, optimize the power grid layout and improve the optimal configuration capability of domestic energy resources. The construction of energy Internet demonstration projects is accelerated, matching policy measures are actively researched and proposed, and sufficient development space is reserved for the development of new modes and new states of the energy Internet.
In order to respond to a call, an internet platform serving an energy consumption unit in province is built, in order to obtain the electricity utilization condition, the unbalance degrees of all phases need to be obtained and drawn into a curve to visually express the electricity utilization condition, and the method relates to the situation that data points of the current three-phase unbalance degrees at all collection moments in one month need to be connected into a curve under a PDF format, but because about 3000 data points exist, if all the data points are connected into a curve, the curve is too dense, the overlapping degree is too high, the problems that data are not directly reflected, the calculated amount is large, the decision making is influenced and the like are caused.
Disclosure of Invention
The technical problem to be solved and the technical task to be solved by the invention are to perfect and improve the prior technical scheme and provide a method for simplifying the current three-phase imbalance curve based on Douglas-Puke so as to achieve the aim of solving the problem of excessive points of curve connection under the PDF format to cause excessive density. Therefore, the invention adopts the following technical scheme.
A method for simplifying a current three-phase imbalance curve based on Douglas-Puke comprises the following steps:
1) acquiring current data of the phase A, the phase B and the phase C at the same time, which are acquired by a power meter, and uploading the current data to a cache;
2) the A, B and C three-phase current data at each moment in the cache are taken out, the current unbalance degree is calculated, the calculation result is returned to a database for storage, and the current unbalance degree comprises an A phase, a B phase, a C phase and the total current unbalance degree;
3) optimizing a curve in one month formed by the stored A phase, B phase, C phase and total current unbalance and corresponding moments by utilizing a Douglas-Pock algorithm, virtually connecting a straight line with the head and tail points of the A phase, B phase, C phase and total current unbalance, calculating the distance between all points and the straight line, finding out the maximum distance value dmax, comparing dmax with a limit difference D, and completely eliminating middle points on the curve if dmax is less than D; if dmax is larger than or equal to D, a coordinate point corresponding to dmax is reserved, the curve is divided into two parts by taking the point as a boundary, and the method is repeatedly used for the two parts, namely the point number of each curve is reduced on the premise of ensuring the characteristics of the curve.
According to the technical scheme, about 3000 data points generated in 1 month are deleted and reduced on the premise of ensuring the curve characteristics, the curve is optimized, the number of points of each curve is reduced on the premise of ensuring the curve characteristics, and the performance and display requirements of the curve under the PDF format are met.
As a preferable technical means: in the step 1), the data related to the phase A, the phase B and the phase C current collected by the electric power meter at the same time are uploaded to a Redis cache meter by a data collection platform, and the data collection interval of the meter is 15 minutes/time.
As a preferable technical means: in the step 2), data in the Redis cache are uploaded to a background calculation program of the integrated energy platform through KAFKA, A, B and C three-phase current data at each moment are taken out from a database and calculated according to a current three-phase unbalance degree formula.
As a preferable technical means: in step 2), the current data of each phase passing through KAFKA is processed by a current total unbalance calculation formula to obtain the unbalance, and then stored in a database, wherein the current total unbalance calculation formula is as follows:
Figure BDA0002149265240000031
where ε is the total three-phase imbalance of the current, max (I)j) The phase current value with the largest median value of the phase currents A, B and C at a certain moment, IavgThe average values of the currents of the phase A, the phase B and the phase C at the same time are shown.
As a preferable technical means: the data of each phase current passing through KAFKA is processed by a calculation formula of the unbalance degree of each phase current to obtain the unbalance degree, and then stored in a database, wherein the calculation formula of the unbalance degree of each phase current is as follows:
Figure BDA0002149265240000032
wherein epsilonjIs the unbalance of a certain phase in the A phase, B phase and C phase currents, IjAt a certain time, corresponding phase current, I, among phase A, phase B and phase C currentsavgThe average values of the currents of the phase A, the phase B and the phase C at the same time are shown.
As a preferable technical means: redis performs cache storage on data uploaded by the acquisition platform, the cache time is 3 days, and data lost by KAFKA is correspondingly recovered in Redis within set time.
Has the advantages that: the invention optimizes the curve in one month formed by the stored A-phase, B-phase, C-phase and total current unbalance degrees and the corresponding moments, reduces the point number of each curve on the premise of ensuring the characteristics of the curve, and meets the performance and display requirements of the curve in PDF format.
Drawings
Fig. 1 is a flow chart of the acquisition of phase a, phase B and phase C current data according to the present invention.
FIG. 2.1; 2.2; 2.3; and 2.4 is a schematic diagram of the current three-phase unbalance degree data point number optimization method.
Fig. 3 is a flow chart of the present invention.
Detailed Description
The technical scheme of the invention is further explained in detail by combining the drawings in the specification.
As shown in fig. 3, the present invention comprises the steps of:
s01) acquiring current data of the phase A, the phase B and the phase C at the same time, which are acquired by the power meter, and uploading the current data to a Redis cache; the collection interval of the meter to the data is 15 minutes/time;
s02) extracting the A, B and C three-phase current data at each moment in the cache, calculating current unbalance degrees, and returning the calculation results to a database for storage, wherein the current unbalance degrees comprise an A phase, a B phase, a C phase and total current unbalance degrees;
the method specifically comprises the following steps: a, B and C three-phase current data at each moment are taken out from a database through a background calculation program which uploads data in the Redis cache to the comprehensive energy platform through KAFKA and are calculated according to a current three-phase unbalance degree formula, a settlement result is returned to the database for storage, the cache time is 3 days, and data lost through the KAFKA can be properly recovered in the Redis;
the current data of each phase passing through KAFKA is processed by a current total unbalance calculation formula to obtain the unbalance, and then stored in a database, wherein the current total unbalance calculation formula is as follows:
Figure BDA0002149265240000051
where ε is the total three-phase imbalance of the current, max (I)j) The phase current value with the largest median value of the phase currents A, B and C at a certain moment, IavgThe average values of the currents of the phase A, the phase B and the phase C at the same time are shown.
The data of each phase current passing through KAFKA is processed by a calculation formula of the unbalance degree of each phase current to obtain the unbalance degree, and then stored in a database, wherein the calculation formula of the unbalance degree of each phase current is as follows:
wherein epsilonjIs the unbalance of a certain phase in the A phase, B phase and C phase currents, IjFor a certain phase current, I, of the A, B and C phase currents at a certain momentavgThe average values of the currents of the phase A, the phase B and the phase C at the same time are shown.
S03) optimizing a curve in one month formed by the stored A phase, B phase, C phase and total current unbalance and corresponding moments by using a Douglas-Pock algorithm, virtually connecting a straight line at the first and last points of the A phase, B phase, C phase and total current unbalance, calculating the distance between all points and the straight line, finding out the maximum distance value dmax, comparing the dmax with a limit difference D, and completely eliminating the middle points on the curve if dmax is less than D; if dmax is larger than or equal to D, a coordinate point corresponding to dmax is reserved, the curve is divided into two parts by taking the point as a boundary, and the method is repeatedly used for the two parts, namely the point number of each curve is reduced on the premise of ensuring the characteristics of the curve.
The invention is suitable for the field of computers, and can effectively solve the problems of curve congestion and indistinguishable caused by excessive points of connecting curves in a PDF format curve diagram.
According to the technical scheme, the stored curves in one month formed by the unbalance degrees of the phases A, B and C and the total current and the corresponding moments are optimized, the number of points of each curve is reduced on the premise of ensuring the characteristics of the curve, and the performance and display requirements of the curve in a PDF format are met.
Example (b): as shown in fig. 1, the present embodiment can be applied to a system architecture including big data and at least one user end. The user side can be a personal computer, a tablet computer or a smart phone, and the operating system can be Windows, Mac, Linux, IOS, Android and the like. The user side can obtain data display processed by the big data platform and sent by the data service interface. Illustratively, this embodiment is an implementation scheme based on a Windows operating system, and specifically includes the following steps:
phase A, phase B and phase C current data are cached in Redis through an acquisition concentrator after passing through an acquisition terminal (such as a smart meter).
The data stored in Redis is uploaded to a relational database (MySQL) and a big data platform (Hbase) respectively through a message middleware (KAFKA) and the same group of data is stored according to corresponding table structures.
And (4) taking out the data of the A-phase current, the B-phase current and the C-phase current through a timing task of a program, and calculating the total current unbalance degree and each phase current unbalance degree.
And respectively storing the calculation results into a 15-minute, 30-minute, 1-hour table, a day table and a month table according to the minutes, the dates and the months of the sample time corresponding to the phase A, the phase B and the phase C currents.
And the data interface acquires corresponding data from a corresponding 15-minute or 30-minute or 1-hour table or day table or month table according to the service requirement and returns the corresponding data to the client.
When a user terminal clicks a report button generated in site health monthly report service, a user terminal page sends request service, a server responds to the request, and extracts A-phase, B-phase, C-phase and three-phase current imbalance data and corresponding time points in a selected month from an Hbase database.
Virtually connecting the unbalance degree data of the phase A, the phase B, the phase C and the three-phase current and the first and the last points of the corresponding time point curves to form a straight line, solving the distance between all the points and the straight line, and finding out the maximum distance value dmax, comparing the dmax with the tolerance D, as shown in figure 2.1.
If dmax < D, the middle points on this curve are all rounded off.
If dmax is larger than or equal to D, a coordinate point corresponding to dmax is reserved, the curve is divided into two parts by taking the point as a boundary, and the method is repeatedly used for the two parts, as shown in FIGS. 2.1-2.4.
The method comprises the following specific steps:
1. setting the tolerance as D, forming a dotted line 1-7 by the connecting point 1 and the point 7, and enabling the dotted line 1-7 to be vertical at each point from the point 2 to the point 6, wherein the maximum vertical line is the vertical line of the point 4 and is larger than the tolerance D, as shown in figure 2.1;
2. with point 4 as the midpoint, connection point 1 and point 4 form dashed lines 1-4, and connection point 4 and point 7 form dashed lines 4-7. The point 2 and the point 3 are used for making the feet of the broken line 1-4, the point 5 and the point 6 are used for making the feet of the broken line 4-7, and as the perpendicular lines of the point 2 and the point 3 are smaller than the tolerance, the point 2 and the point 3 are completely omitted, and the connecting point 1 and the point 4 form a new solid line segment as shown in figure 2.2;
3. since the perpendicular line from the point 5 to the dotted line 4-7 is greater than the tolerance D, taking the point 5 as the center, the connecting point 4 forms the dotted line 4-5, the connecting point 7 forms the dotted line 5-7, the point 6 is taken as the perpendicular line perpendicular to the dotted line 5-7, and the magnitude of the tolerance D is judged, as shown in fig. 2.3;
since the perpendicular from point 6 to the dashed line 5-7 is less than the tolerance D, point 6 is dropped, and the connecting point 5 and point 7 form a new solid line segment, resulting in the polyline shown in fig. 2.4.
Through the processing, the simplified current three-phase unbalanced curve can be obtained, the number of points of each curve is reduced on the premise of ensuring the characteristics of the curve, and the performance and display requirements of the curve in PDF format are met.
The method for simplifying the three-phase imbalance curve of current based on douglas-poder shown in fig. 1 and 3 is a specific embodiment of the present invention, which already embodies the essential features and advantages of the present invention, and can be modified equivalently according to the practical use requirements and under the teaching of the present invention, and is within the protection scope of the present solution.

Claims (6)

1. A method for simplifying a current three-phase imbalance curve based on Douglas-Puke is characterized by comprising the following steps of:
1) acquiring current data of the phase A, the phase B and the phase C at the same time, which are acquired by a power meter, and uploading the current data to a cache;
2) the A, B and C three-phase current data at each moment in the cache are taken out, the current unbalance degree is calculated, the calculation result is returned to a database for storage, and the current unbalance degree comprises an A phase, a B phase, a C phase and the total current unbalance degree;
3) optimizing a curve in one month formed by the stored A phase, B phase, C phase and total current unbalance and corresponding moments by utilizing a Douglas-Pock algorithm, virtually connecting a straight line with the head and tail points of the A phase, B phase, C phase and total current unbalance, calculating the distance between all points and the straight line, finding out the maximum distance value dmax, comparing dmax with a limit difference D, and completely eliminating middle points on the curve if dmax is less than D; if dmax is larger than or equal to D, a coordinate point corresponding to dmax is reserved, the curve is divided into two parts by taking the point as a boundary, and the method is repeatedly used for the two parts, namely the point number of each curve is reduced on the premise of ensuring the characteristics of the curve.
2. The Douglas-Puck based current three-phase imbalance curve reduction method as claimed in claim 1, wherein: in the step 1), the data related to the phase A, the phase B and the phase C current collected by the electric power meter at the same time are uploaded to a Redis cache meter by a data collection platform, and the data collection interval of the meter is 15 minutes/time.
3. The Douglas-Puck based current three-phase imbalance curve reduction method as claimed in claim 2, wherein: in the step 2), data in the Redis cache are uploaded to a background calculation program of the integrated energy platform through KAFKA, A, B and C three-phase current data at each moment are taken out from a database and calculated according to a current three-phase unbalance degree formula.
4. The Douglas-Puck based current three-phase imbalance curve reduction method as claimed in claim 3, wherein: in step 2), the current data of each phase passing through KAFKA is processed by a current total unbalance calculation formula to obtain the unbalance, and then stored in a database, wherein the current total unbalance calculation formula is as follows:
where ε is the total three-phase imbalance of the current, max (I)j) The phase current value with the largest median value of the phase currents A, B and C at a certain moment, IavgThe average values of the currents of the phase A, the phase B and the phase C at the same time are shown.
5. The Douglas-Puck based current three-phase imbalance curve reduction method as claimed in claim 4, wherein: the data of each phase current passing through KAFKA is processed by a calculation formula of the unbalance degree of each phase current to obtain the unbalance degree, and then stored in a database, wherein the calculation formula of the unbalance degree of each phase current is as follows:
Figure FDA0002149265230000022
wherein epsilonjIs the unbalance of a certain phase in the A phase, B phase and C phase currents, IjAt a certain time, corresponding phase current, I, among phase A, phase B and phase C currentsavgThe average values of the currents of the phase A, the phase B and the phase C at the same time are shown.
6. The Douglas-Puck based current three-phase imbalance curve reduction method as claimed in claim 2, wherein: redis performs cache storage on data uploaded by the acquisition platform, the cache time is 3 days, and data lost by KAFKA is correspondingly recovered in Redis within set time.
CN201910695550.2A 2019-07-30 2019-07-30 Douglas-Puke-based current three-phase imbalance curve simplification method Pending CN110659267A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910695550.2A CN110659267A (en) 2019-07-30 2019-07-30 Douglas-Puke-based current three-phase imbalance curve simplification method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910695550.2A CN110659267A (en) 2019-07-30 2019-07-30 Douglas-Puke-based current three-phase imbalance curve simplification method

Publications (1)

Publication Number Publication Date
CN110659267A true CN110659267A (en) 2020-01-07

Family

ID=69036392

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910695550.2A Pending CN110659267A (en) 2019-07-30 2019-07-30 Douglas-Puke-based current three-phase imbalance curve simplification method

Country Status (1)

Country Link
CN (1) CN110659267A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111666366A (en) * 2020-05-29 2020-09-15 航科院中宇(北京)新技术发展有限公司 Flight monitoring data display method and system
CN117272479A (en) * 2023-10-08 2023-12-22 山东鑫之源新材料科技有限公司 High-strength geomembrane bursting strength prediction method based on load time course analysis
CN118033300A (en) * 2024-04-10 2024-05-14 贵州国昱源丰节能科技有限公司 Intelligent identification method for load power failure abnormality of dynamic voltage regulator

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101055283A (en) * 2007-04-30 2007-10-17 淄博卓尔电器有限公司 Three-range current recording and balance analysis method and device
CN105846453A (en) * 2016-05-10 2016-08-10 北京泰豪电力科技有限公司 Method for treating three-phase load imbalance of low-voltage distribution network
CN107196323A (en) * 2016-03-15 2017-09-22 中电普瑞科技有限公司 A kind of three-phase imbalance method of controlling switch of multiple-objection optimization
CN109462244A (en) * 2018-06-11 2019-03-12 国网浙江海宁市供电有限公司 Three uncompensated loads of distribution transforming based on big data adjust system and method

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101055283A (en) * 2007-04-30 2007-10-17 淄博卓尔电器有限公司 Three-range current recording and balance analysis method and device
CN107196323A (en) * 2016-03-15 2017-09-22 中电普瑞科技有限公司 A kind of three-phase imbalance method of controlling switch of multiple-objection optimization
CN105846453A (en) * 2016-05-10 2016-08-10 北京泰豪电力科技有限公司 Method for treating three-phase load imbalance of low-voltage distribution network
CN109462244A (en) * 2018-06-11 2019-03-12 国网浙江海宁市供电有限公司 Three uncompensated loads of distribution transforming based on big data adjust system and method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
孙浩鹏 等: ""道格拉斯_普客算法在数据手套数据优化中的应用"", 《吉林工程技术学院学报》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111666366A (en) * 2020-05-29 2020-09-15 航科院中宇(北京)新技术发展有限公司 Flight monitoring data display method and system
CN117272479A (en) * 2023-10-08 2023-12-22 山东鑫之源新材料科技有限公司 High-strength geomembrane bursting strength prediction method based on load time course analysis
CN117272479B (en) * 2023-10-08 2024-02-23 山东鑫之源新材料科技有限公司 High-strength geomembrane bursting strength prediction method based on load time course analysis
CN118033300A (en) * 2024-04-10 2024-05-14 贵州国昱源丰节能科技有限公司 Intelligent identification method for load power failure abnormality of dynamic voltage regulator

Similar Documents

Publication Publication Date Title
CN110659267A (en) Douglas-Puke-based current three-phase imbalance curve simplification method
CN115933757B (en) Control method, system, medium and equipment for intelligent rotary solar panel
CN114446037A (en) Carbon emission monitoring system and method based on Internet of things technology
CN110636107A (en) Power grid data interaction system based on 5g communication and interaction method thereof
CN204965718U (en) Photovoltaic intelligent monitoring system
CN110166533A (en) A kind of method and system quickly accessing integrated control platform
CN106549376A (en) The branch road comprehensive stability appraisal procedure of power distribution network containing DG based on equivalent node method
CN206865506U (en) A kind of enterprise based on Internet of Things energy acquisition system
CN107545716A (en) A kind of power consumer information remote acquisition system
CN201145946Y (en) Device for monitoring wind, light electrification parameter network
CN111030167A (en) Large-scale offshore wind farm access scheme generation method and system
CN102231228A (en) Remote meter-reading system of voltage and electric energy
Zhu et al. Acquisition and communication system for condition data of transmission line of smart distribution network
CN208207174U (en) A kind of New-energy electric vehicle coulomb collection system based on NBIOT agreement
CN106154032A (en) A kind of Bidirectional intelligent ammeter electric energy gauging method based on power factor
CN203179263U (en) Wireless data collection system of solar photovoltaic power station
CN103107533A (en) Power transmission network short-term expansion planning method applicable to access of large-scale gap type energy sources
CN104899311A (en) WebGIS (Web Geographic Information System) vector data high-efficiency transmission method
Hu [Retracted] The Impact of Smart Sensor Networks on Improving the International Competitiveness of China’s Digital Economy Industry in the Context of the Smart Era
TWI630358B (en) A remote monitoring system and related method for photovoltaic power conditioning device
Wancheng Monitoring system of power line icing based on GPRS
CN203444557U (en) Public transportation card recharging terminal
CN204480465U (en) For the data collection and transfering system of new energy grid connection system
齐宝柱 et al. Research on Power Information Acquisition System Based on Embedded Platform
Liu et al. ETI-ECF: Edge Computing Framework for Distribution Network Electrical Topology Identification

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20200107

RJ01 Rejection of invention patent application after publication