CN112182822A - Method and system for predicting, correcting and forecasting icing thickness of power transmission line - Google Patents

Method and system for predicting, correcting and forecasting icing thickness of power transmission line Download PDF

Info

Publication number
CN112182822A
CN112182822A CN202011140209.XA CN202011140209A CN112182822A CN 112182822 A CN112182822 A CN 112182822A CN 202011140209 A CN202011140209 A CN 202011140209A CN 112182822 A CN112182822 A CN 112182822A
Authority
CN
China
Prior art keywords
transmission line
power transmission
meteorological element
element data
icing thickness
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
CN202011140209.XA
Other languages
Chinese (zh)
Inventor
蔡泽林
冯涛
徐勋建
郭俊
邸悦伦
李丽
叶钰
简洲
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.)
State Grid Corp of China SGCC
State Grid Hunan Electric Power Co Ltd
Disaster Prevention and Mitigation Center of State Grid Hunan Electric Power Co Ltd
Original Assignee
State Grid Corp of China SGCC
State Grid Hunan Electric Power Co Ltd
Disaster Prevention and Mitigation Center of State Grid Hunan Electric Power 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 State Grid Corp of China SGCC, State Grid Hunan Electric Power Co Ltd, Disaster Prevention and Mitigation Center of State Grid Hunan Electric Power Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN202011140209.XA priority Critical patent/CN112182822A/en
Publication of CN112182822A publication Critical patent/CN112182822A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/10—Geometric CAD
    • G06F30/18—Network design, e.g. design based on topological or interconnect aspects of utility systems, piping, heating ventilation air conditioning [HVAC] or cabling
    • 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
    • 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

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Economics (AREA)
  • General Physics & Mathematics (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Marketing (AREA)
  • Geometry (AREA)
  • Tourism & Hospitality (AREA)
  • Health & Medical Sciences (AREA)
  • General Business, Economics & Management (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Computer Hardware Design (AREA)
  • Pure & Applied Mathematics (AREA)
  • Primary Health Care (AREA)
  • General Engineering & Computer Science (AREA)
  • Computational Mathematics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Development Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a method and a system for predicting, correcting and forecasting the icing thickness of a power transmission line, which are characterized in that various observation meteorological element data and corresponding icing thickness data of the power transmission line in continuous time intervals and corresponding predicted meteorological element data are obtained from historical data; constructing a mapping model by using various observation meteorological element data and corresponding prediction meteorological element data; constructing an icing thickness calculation model according to the various observation meteorological element data and the icing thickness data corresponding to the observation meteorological element data; the method comprises the steps of obtaining various predicted meteorological element data of a predicted time of a power transmission line, correcting the various predicted meteorological element data of the predicted time by using the mapping model, inputting the corrected various predicted meteorological element data into the icing thickness calculation model, and calculating the icing thickness of the power transmission line at the predicted time.

Description

Method and system for predicting, correcting and forecasting icing thickness of power transmission line
Technical Field
The invention relates to the technical field of power grid protection, in particular to a method and a system for predicting, correcting and forecasting the icing thickness of a power transmission line.
Background
With the increasing demand for electric power, the transmission lines inevitably need to pass through micro-terrain microclimate areas with extremely complex meteorological conditions. In winter, the micro-terrain areas are easy to cause ice coating on the power transmission line, and the ice coating thickness is several times of that of the ice coating thickness of the terrain flat areas in the range of hundreds of meters. Serious ice coating of the transmission line can cause accidents such as line breakage, tower falling and the like caused by overload of the line, and the safe and stable operation of a power grid is seriously influenced. Due to the horizontal resolution (usually greater than 3km) of the current numerical weather forecast model, the weather condition features of the micro-terrain areas are often averaged by a grid rough in the numerical model, and the ice coating thickness of the power transmission line is difficult to accurately predict.
Disclosure of Invention
The invention provides a method and a system for predicting, correcting and forecasting the icing thickness of a power transmission line, which are used for solving the technical problem that the icing thickness of the power transmission line is difficult to accurately forecast by the existing method for predicting the icing thickness of the power transmission line.
In order to solve the technical problems, the technical scheme provided by the invention is as follows:
a method for predicting, correcting and forecasting icing thickness of a power transmission line comprises the following steps:
acquiring various observation meteorological element data and corresponding icing thickness data of the transmission line at continuous time intervals from historical data, and predicting meteorological element data of the transmission line at the same moment, which correspond to the various observation meteorological element data one by one;
the method comprises the steps that various observation meteorological element data and corresponding prediction meteorological element data at the power transmission line at the same moment are used for constructing a mapping model between the various observation meteorological element data at the same moment and the corresponding types of prediction meteorological element data;
constructing an icing thickness calculation model between various observation meteorological element data and icing thickness data according to various observation meteorological element data and the corresponding icing thickness data at the continuous time interval of the power transmission line;
and acquiring various predicted meteorological element data of the predicted time of the power transmission line, correcting the various predicted meteorological element data of the predicted time by using a mapping model, inputting the corrected various predicted meteorological element data into an icing thickness calculation model, and calculating the icing thickness of the predicted time of the power transmission line.
Preferably, the observed meteorological element data and the predicted meteorological element data each include: air temperature, precipitation, wind speed, wind direction, relative humidity, and air pressure.
Preferably, the mapping model is constructed by a regression statistical method, and the mapping model is as follows:
Figure BDA0002738009350000011
wherein, Wi ORepresents the ith observed meteorological element value W in any one of observed meteorological element data of air temperature, precipitation, wind speed, wind direction, relative humidity and air pressurei YIs represented by the formulai OCorresponding to the type, corresponding to the ith predicted meteorological element value at the moment, i belongs to (1,2, 3.. once, N), and N is the quantity of meteorological element data observed in continuous time intervals; cmRepresenting the mth mapping relation parameter, wherein m belongs to (1,2, 3.. K), and K is the number of the mapping relation parameters and takes the value as an integer larger than 0;
Figure BDA0002738009350000021
representing a mapping relationship.
Preferably, the icing thickness calculation model is constructed by a least square method, and the icing thickness calculation model is as follows:
TK ═ f (t1, U1, D1, RH1, P1, TP, t2, U2, D2, RH2, P2), wherein TK is the thickness of ice coating on the transmission line, t1 is the air temperature on the ground of the transmission line, U1 is the wind speed on the ground of the transmission line, D1 is the wind direction on the ground of the transmission line, RH1 is the relative humidity on the ground of the transmission line, P1 is the air pressure on the ground of the transmission line, TP is the precipitation amount on the transmission line, t2 is the air temperature above the transmission line, U2 is the wind speed above the transmission line, D2 is the wind direction above the transmission line, RH2 is the relative humidity above the transmission line, and P2 is the air pressure above the transmission line.
A computer system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of any of the methods described above when executing the computer program.
The invention has the following beneficial effects:
1. the method and the system for predicting, correcting and forecasting the icing thickness of the power transmission line establish a mapping model between a predicted meteorological element value and a corresponding observed meteorological element value based on a coarse resolution numerical weather forecasting mode, apply the mapping model to realize correction and forecasting of the predicted meteorological element value near the power transmission line, and input the established icing thickness calculation model by using the corrected meteorological element prediction value, thereby realizing accurate prediction of the icing thickness of the power transmission line.
In addition to the objects, features and advantages described above, other objects, features and advantages of the present invention are also provided. The present invention will be described in further detail below with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a flow chart of a method for predicting, correcting and forecasting the icing thickness of a power transmission line in the invention.
Detailed Description
The embodiments of the invention will be described in detail below with reference to the drawings, but the invention can be implemented in many different ways as defined and covered by the claims.
The first embodiment is as follows:
as shown in fig. 1, the invention discloses a method for predicting, correcting and forecasting the icing thickness of a power transmission line, which comprises the following steps:
acquiring various observation meteorological element data and corresponding icing thickness data of the transmission line at continuous time intervals from historical data, and predicting meteorological element data of the transmission line at the same moment, which correspond to the various observation meteorological element data one by one;
the method comprises the steps that various observation meteorological element data and corresponding prediction meteorological element data at the power transmission line at the same moment are used for constructing a mapping model between the various observation meteorological element data at the same moment and the corresponding types of prediction meteorological element data;
constructing an icing thickness calculation model between various observation meteorological element data and icing thickness data according to various observation meteorological element data and the corresponding icing thickness data at the continuous time interval of the power transmission line;
and acquiring various predicted meteorological element data of the predicted time of the power transmission line, correcting the various predicted meteorological element data of the predicted time by using a mapping model, inputting the corrected various predicted meteorological element data into an icing thickness calculation model, and calculating the icing thickness of the predicted time of the power transmission line.
Wherein, observe meteorological element data and predict meteorological element data and all include: air temperature, precipitation, wind speed, wind direction, relative humidity, and air pressure.
The mapping model is constructed by adopting a regression statistical method, and is as follows:
Figure BDA0002738009350000031
wherein, Wi ORepresents the ith observed meteorological element value W in any one of observed meteorological element data of air temperature, precipitation, wind speed, wind direction, relative humidity and air pressurei YIs represented by the formulai OCorresponding to the type, corresponding to the ith predicted meteorological element value at the moment, i belongs to (1,2, 3.. once, N), and N is the quantity of meteorological element data observed in continuous time intervals; cmRepresenting the mth mapping relation parameter, wherein m belongs to (1,2, 3.. K), and K is the number of the mapping relation parameters and takes the value as an integer larger than 0;
Figure BDA0002738009350000032
representing a mapping relationship.
The icing thickness calculation model is constructed by adopting a least square method, and comprises the following steps:
TK ═ f (t1, U1, D1, RH1, P1, TP, t2, U2, D2, RH2, P2), wherein TK is the thickness of ice coating on the transmission line, t1 is the air temperature on the ground of the transmission line, U1 is the wind speed on the ground of the transmission line, D1 is the wind direction on the ground of the transmission line, RH1 is the relative humidity on the ground of the transmission line, P1 is the air pressure on the ground of the transmission line, TP is the precipitation amount on the transmission line, t2 is the air temperature above the transmission line, U2 is the wind speed above the transmission line, D2 is the wind direction above the transmission line, RH2 is the relative humidity above the transmission line, and P2 is the air pressure above the transmission line.
In addition, in this embodiment, a computer system is also disclosed, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the computer system implements the steps of any of the above methods.
In summary, the method and system for predicting, correcting and forecasting the icing thickness of the power transmission line in the embodiment establish a mapping model between the predicted meteorological element values and the corresponding observed meteorological element values based on the coarse resolution numerical weather forecasting mode, apply the mapping model to realize the correction and forecasting of the predicted meteorological element values near the power transmission line, and input the corrected meteorological element prediction values into the established icing thickness calculation model, thereby realizing the icing thickness prediction of the power transmission line.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (5)

1. A method for predicting, correcting and forecasting the icing thickness of a power transmission line is characterized by comprising the following steps of:
acquiring various observation meteorological element data and corresponding icing thickness data of the transmission line in continuous time periods from historical data, and predicting meteorological element data of the transmission line at the same moment, which are in one-to-one correspondence with the various observation meteorological element data;
the method comprises the steps that various observation meteorological element data and corresponding prediction meteorological element data at the power transmission line at the same moment are used for constructing a mapping model between the various observation meteorological element data at the same moment and the corresponding types of prediction meteorological element data;
constructing an icing thickness calculation model between various observation meteorological element data and the icing thickness data according to the various observation meteorological element data and the corresponding icing thickness data at the continuous time interval of the power transmission line;
and acquiring various predicted meteorological element data of the predicted time of the power transmission line, correcting the various predicted meteorological element data of the predicted time by using the mapping model, inputting the corrected various predicted meteorological element data into the icing thickness calculation model, and calculating the icing thickness of the predicted time of the power transmission line.
2. The method for predicting, correcting and forecasting the icing thickness of the power transmission line according to claim 1, wherein the observed meteorological element data and the predicted meteorological element data each include: air temperature, precipitation, wind speed, wind direction, relative humidity, and air pressure.
3. The method for predicting, correcting and forecasting the icing thickness of the power transmission line according to claim 2, wherein the mapping model is constructed by a regression statistical method, and the mapping model is as follows:
Figure FDA0002738009340000011
wherein, Wi ORepresents the ith observed meteorological element value W in any one of observed meteorological element data of air temperature, precipitation, wind speed, wind direction, relative humidity and air pressurei YIs represented by the formulai OCorresponding to the type, corresponding to the ith predicted meteorological element value at the moment, i belongs to (1,2, 3.. multidot.N), and N is the quantity of the meteorological element data observed in the continuous time period; cmRepresenting the mth mapping relation parameter, wherein m belongs to (1,2, 3.. K), and K is the number of the mapping relation parameters and takes the value as an integer larger than 0;
Figure FDA0002738009340000012
representing a mapping relationship.
4. The method for predicting, correcting and forecasting the icing thickness of the power transmission line according to claim 3, wherein the icing thickness calculation model is constructed by a least square method, and the icing thickness calculation model is as follows:
f (t1, U1, D1, RH1, P1, TP, t2, U2, D2, RH2 and P2), wherein the TK is the thickness of ice coating on the power transmission line, the t1 is the air temperature of the ground at the power transmission line, U1 is the wind speed of the ground at the power transmission line, D1 is the wind direction of the ground at the power transmission line, RH1 is the relative humidity of the ground at the power transmission line, P1 is the air pressure of the ground at the power transmission line, TP is the precipitation amount at the power transmission line, t2 is the air temperature of the high altitude at the power transmission line, U2 is the wind speed of the high altitude at the power transmission line, D2 is the wind direction of the high altitude at the power transmission line, RH2 is the relative humidity of the high altitude at the power transmission line, and P2 is the air pressure of the high altitude at the power transmission.
5. A computer system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the method of any one of claims 1 to 4 are performed when the computer program is executed by the processor.
CN202011140209.XA 2020-10-22 2020-10-22 Method and system for predicting, correcting and forecasting icing thickness of power transmission line Pending CN112182822A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011140209.XA CN112182822A (en) 2020-10-22 2020-10-22 Method and system for predicting, correcting and forecasting icing thickness of power transmission line

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011140209.XA CN112182822A (en) 2020-10-22 2020-10-22 Method and system for predicting, correcting and forecasting icing thickness of power transmission line

Publications (1)

Publication Number Publication Date
CN112182822A true CN112182822A (en) 2021-01-05

Family

ID=73923186

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011140209.XA Pending CN112182822A (en) 2020-10-22 2020-10-22 Method and system for predicting, correcting and forecasting icing thickness of power transmission line

Country Status (1)

Country Link
CN (1) CN112182822A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113358040A (en) * 2021-05-14 2021-09-07 中国南方电网有限责任公司超高压输电公司检修试验中心 Method and device for acquiring icing thickness of power transmission line and computer equipment
CN113723685A (en) * 2021-08-31 2021-11-30 神彩科技股份有限公司 Method, device, equipment and storage medium for determining hazardous waste generation amount
CN113821895A (en) * 2021-09-01 2021-12-21 南方电网科学研究院有限责任公司 Construction method and device of power transmission line icing thickness prediction model and storage medium
CN115508917A (en) * 2022-11-22 2022-12-23 中国民用航空局空中交通管理局航空气象中心 Method, device, equipment and storage medium for forecasting airport meteorological elements

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103020740A (en) * 2012-12-25 2013-04-03 临安市供电局 Micrometeorological data based electric power circuit icing thickness prediction method
CN103090831A (en) * 2013-01-22 2013-05-08 湖北省电力公司电力科学研究院 Judgment method of icing thickness of icing area electric transmission line
CN105808819A (en) * 2016-02-17 2016-07-27 南方电网科学研究院有限责任公司 Power transmission line ice coating real-time distribution module calculation method
CN109447260A (en) * 2018-10-08 2019-03-08 中国人民解放军空军研究院战场环境研究所 A kind of local numerical weather forecast product correction method based on deep learning
CN110908014A (en) * 2019-12-11 2020-03-24 国网湖南省电力有限公司 Galloping refined correction forecasting method and system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103020740A (en) * 2012-12-25 2013-04-03 临安市供电局 Micrometeorological data based electric power circuit icing thickness prediction method
CN103090831A (en) * 2013-01-22 2013-05-08 湖北省电力公司电力科学研究院 Judgment method of icing thickness of icing area electric transmission line
CN105808819A (en) * 2016-02-17 2016-07-27 南方电网科学研究院有限责任公司 Power transmission line ice coating real-time distribution module calculation method
CN109447260A (en) * 2018-10-08 2019-03-08 中国人民解放军空军研究院战场环境研究所 A kind of local numerical weather forecast product correction method based on deep learning
CN110908014A (en) * 2019-12-11 2020-03-24 国网湖南省电力有限公司 Galloping refined correction forecasting method and system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
徐继业等主编: "太阳能技术用语集", 河北科学技术出版社, pages: 322 *
黄俊杰等: "架空输电线路覆冰厚度预测技术研究", 《湖北电力》, no. 12, 28 December 2016 (2016-12-28), pages 1 - 4 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113358040A (en) * 2021-05-14 2021-09-07 中国南方电网有限责任公司超高压输电公司检修试验中心 Method and device for acquiring icing thickness of power transmission line and computer equipment
CN113358040B (en) * 2021-05-14 2024-01-23 中国南方电网有限责任公司超高压输电公司检修试验中心 Method and device for acquiring icing thickness of power transmission line and computer equipment
CN113723685A (en) * 2021-08-31 2021-11-30 神彩科技股份有限公司 Method, device, equipment and storage medium for determining hazardous waste generation amount
CN113821895A (en) * 2021-09-01 2021-12-21 南方电网科学研究院有限责任公司 Construction method and device of power transmission line icing thickness prediction model and storage medium
CN113821895B (en) * 2021-09-01 2023-11-03 南方电网科学研究院有限责任公司 Method and device for constructing power transmission line icing thickness prediction model and storage medium
CN115508917A (en) * 2022-11-22 2022-12-23 中国民用航空局空中交通管理局航空气象中心 Method, device, equipment and storage medium for forecasting airport meteorological elements

Similar Documents

Publication Publication Date Title
CN112182822A (en) Method and system for predicting, correcting and forecasting icing thickness of power transmission line
CN110908014B (en) Galloping refined correction forecasting method and system
CN102945508B (en) Model correction based wind power forecasting method
CN108983320A (en) A kind of numerical weather forecast-artificial intelligence coupling prediction method of coastal typhoon Maximum wind speed
CN103207948B (en) Based on the wind energy turbine set anemometer wind speed missing data interpolating method of wind speed correlativity
CN109784563B (en) Ultra-short-term power prediction method based on virtual anemometer tower technology
CN107037504B (en) Dodge to assimilation for Severe Convective Weather Forecasting the method for translation proxy radar return
CN109118035B (en) Grid early warning information-based typhoon and waterlogging disaster power distribution network risk assessment method
CN105678396A (en) Photovoltaic power station super-short-term power prediction device
CN112926776B (en) Land-air coupling real-time forecasting method
CN106447530A (en) Imprecise condition estimation method for outage probability of power equipment
CN109472283B (en) Dangerous weather prediction method and device based on multiple incremental regression tree model
CN104578061A (en) Method for pre-estimating overhead power transmission line wire designed ice thickness
CN105576650A (en) Wind power prediction method and system based on assimilation technology and same wind band theory
CN105279612A (en) Poisson distribution-based power transmission line tripping risk assessment method
CN105095670B (en) Drawing method of electric transmission line icing-thickness growth rate distribution diagram based on continuous freezing rain
CN113419246A (en) Nudging approximation multi-time 3DVar analysis field method for high-frequency assimilation of radar data
CN105069238A (en) Method for drawing regional distribution diagram of galloping of iced power grid in special return period
CN105930964A (en) Power transmission line icing risk assessment method based on impact from space-time factors
KR101336551B1 (en) Climate property modification prediction system and method in accordance with reservoirs construction
CN109946765B (en) Prediction method and system for flow field of wind power plant
CN110705796A (en) Magnitude frequency correction ensemble forecasting method and system for power grid rainstorm numerical forecasting
JP7342369B2 (en) Prediction system, prediction method
CN107316109A (en) Overhead transmission line winter wind speed forecasting method near the ground, system and device
CN115047544A (en) Icing early warning method and system

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: 20210105

RJ01 Rejection of invention patent application after publication