WO2024060652A1 - 电力物资智能成套推荐的方法 - Google Patents

电力物资智能成套推荐的方法 Download PDF

Info

Publication number
WO2024060652A1
WO2024060652A1 PCT/CN2023/095184 CN2023095184W WO2024060652A1 WO 2024060652 A1 WO2024060652 A1 WO 2024060652A1 CN 2023095184 W CN2023095184 W CN 2023095184W WO 2024060652 A1 WO2024060652 A1 WO 2024060652A1
Authority
WO
WIPO (PCT)
Prior art keywords
support
item set
outgoing
items
electric power
Prior art date
Application number
PCT/CN2023/095184
Other languages
English (en)
French (fr)
Inventor
汪宝康
赵潇
张芸
张宗品
吴恙
吉德志
彭永春
李国友
聂跃昆
田然
Original Assignee
云南电网有限责任公司楚雄供电局
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 云南电网有限责任公司楚雄供电局 filed Critical 云南电网有限责任公司楚雄供电局
Publication of WO2024060652A1 publication Critical patent/WO2024060652A1/zh

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2465—Query processing support for facilitating data mining operations in structured databases
    • 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
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083—Shipping
    • G06Q10/0838—Historical data
    • 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
    • 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
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Definitions

  • the invention relates to the technical field of power material calculation and statistical analysis methods, and is specifically a method for intelligent complete recommendation of power materials.
  • Supply chain material management in the power system is a basic condition for ensuring the stable operation of electricity.
  • the management of power material outbound delivery plays a vital role in power failure emergency repair, new distribution network projects, new line projects, line inspections, user registration, project reconstruction and expansion, etc.
  • new material management models such as "unattended warehouses” and "self-service material collection” are constantly emerging.
  • links of "unattended warehouses” and “self-service material collection” there are still situations such as material leakage, wrong delivery, and excess delivery in the material outbound delivery link, which leads to long material outbound delivery time and low outbound delivery efficiency.
  • some methods related to material management or material set-related are disclosed, such as:
  • Cida patent CN106651653A discloses a smart distribution network project auxiliary management system, which includes: a plan management module, which is used to divide the smart distribution network project master plan into multiple branch projects according to regions and lines, and then divide the branch projects into The project is divided into sub-projects.
  • the material module is used to realize material management with the equipment installation location and the dual name of the equipment as the root directory.
  • Test module which is used to realize warehouse test plan management and test report management; relay protection fixed value management module, which is used to formulate fixed value network release, execution, acceptance, and archiving processes.
  • Relevant personnel have their own authority; automated point table
  • the management module is used to formulate point table preparation, point table review, on-site verification, acceptance, and archiving processes.
  • Relevant personnel have their own authority; the field operation module is used for on-site investigation and on-site investigation records.
  • the invention can automatically coordinate planning, materials, fixed value, automatic point table, warehouse debugging, testing, data management and other links.
  • Chinese patent CN109272268A discloses a method and system for calculating the outbound quantity of electric power materials, which relates to the technical field of inventory information processing, and in particular to a method and system for processing inventory information of electric power materials, including receiving a user's request to calculate the outbound quantity of electric power materials in a future time period, locating the compatible information of the electric power materials according to the identification information of the requested electric power materials, locating the historical data of each electric power material according to the identification information of the requested electric power materials, the first type of electric power materials and the second type of electric power materials, respectively, and calculating the benchmark outbound quantity of each electric power material in the future time period according to the historical data, and outputting it in the form of a combination consisting of a first reference quantity based on the future time period, a second reference quantity and the benchmark outbound quantity of the requested electric power materials.
  • the present invention can evaluate the inventory risk of the current electric power materials by using the outbound information of the electric power materials in the warehouse management information system, and provide a basis for
  • Chinese patent CN107748980A discloses an information management system and a method for realizing the complete provision of an integrated station area by the system. It includes a remote server and a remote control terminal; the remote server includes a display, operating components (including a keyboard and a mouse) and a A main processing machine with a display connected by wires.
  • the main processing machine includes a main body casing and a first control main board arranged inside the main body casing.
  • the remote control terminal includes a terminal casing and a display screen arranged on the terminal casing. , an operation button is provided on the terminal housing below the display screen, and a second control main board is provided inside the terminal housing.
  • the invention is simple and easy to understand, easy to maintain, and can be applied to factory material management.
  • the existing public method CN106651653A a smart distribution network engineering auxiliary management system, focuses on being mainly used in distribution network engineering project management, and manages the project planning to project construction, project completion, and project acceptance. Among them, the complete set of materials is based on the project construction site, and the attribute of the construction site is used to classify the complete set of materials.
  • the method and system for measuring the outgoing quantity of electric power materials in CN109272268A is mainly invented. , using historical data of electric power materials, and calculating the benchmark outgoing quantity of each electric power material in the future time period based on the historical data. Based on the analysis of the current situation, the outbound volume of power materials is affected by many factors such as material engineering projects, demand plans, procurement plans, and real-time inventory of materials. The results of calculating future outbound volumes based on historical outbound volumes are significantly different from the actual outbound volumes.
  • the information management system of CN107748980A and the method for the system to realize the integrated provision of a complete set of Taiwan areas are to realize a set of integrated terminal systems and methods for material management through remote servers and remote terminals combined with the information management system.
  • This type of material management system and its methods have become mature, and the systems and methods related to intelligent material management have become better than their predecessors. This method no longer has great reference significance.
  • the invention of the method of intelligent complete set recommendation of power materials refers to the use of power materials in daily operation and maintenance, maintenance, project construction and other material out-of-warehouse use scenarios, combined with the historical out-of-warehouse data of materials, using continuous cycles or intermittent cycles for accurate analysis and calculation processing.
  • the Apriori algorithm of data mining correlation analysis is used to make intelligent complete set recommendations for power supplies, realizing the in-depth application of data mining correlation analysis in complete sets of power supplies.
  • the analysis of intelligent complete set recommendation of materials belongs to the field of material outbound management in supply chain theory.
  • the application of power material supply is in its infancy, and a mature and stable intelligent material recommendation method has not yet been formed.
  • the invention of this method can once again improve the efficiency and accuracy of material delivery on the basis of "unattended warehouse” and "self-service picking", and is of great significance to improving the level of lean management of materials.
  • the present invention mainly provides a method for intelligent complete set recommendation of electric power supplies.
  • the invention provides a method for intelligent complete set recommendation of electric power materials, which is based on the collection of historical outgoing target data of electric power materials. It is assumed that the outgoing items are a 1 ,...a n in total, n types. From the historical outgoing target data of electric power materials, Select m outbound records with the same outbound purpose from the data, list the outbound items contained in each outbound record, and obtain the initial data set D, where:
  • the above third data item set C 3 items whose support 3 is less than the minimum support are eliminated, and we obtain The third candidate item set L 3 ; by analogy, calculate the support for any p items to appear in m outbound records at the same time, and finally obtain the p-th candidate item set L p .
  • the set L p is an empty set, select the L p-1 candidate item set as the frequent item set, and the k data items included in the frequent item set are the recommended solutions for the intelligent complete set of power supplies.
  • Step (4) is to determine the association rules of frequent item sets, which includes:
  • each frequent item set includes: A 1 ,...A S items, A 1 ,...A S is one of a 1 ,...an, s ⁇ n , find A 1 ,... respectively.
  • association rules if the user needs the items before the association, the items after the association are recommended to the user at the same time.
  • the purpose of discharging materials is the outgoing item, project attribute, outgoing reason, purpose of use or object of use.
  • the minimum support degree is a set value
  • the minimum confidence degree is a set value
  • the minimum support degree is at least 50%, and the minimum confidence degree is at least 70%.
  • the number of outbound records m is at least three.
  • the collected and all verified historical outbound data of power materials are classified and processed according to multi-dimensional aspects such as the object of use of the materials, the purpose of use, and the reason for the outbound items. Classification. According to different usage classifications and different usage outgoing records, use data mining association analysis to determine the initial data set; determine the minimum support and minimum confidence; mine frequent data item sets; calculate the confidence of frequent item set association rules to determine the optimal frequency Association rules, and then obtain the optimal power supply intelligent complete set of recommended solutions.
  • the present invention provides a calculation and analysis method for intelligent complete set recommendation of electric power materials, uses the data mining correlation analysis method to calculate the intelligent complete set recommendation results of electric power materials, generates the optimal intelligent recommended complete set of electric power materials scheme, improves the accuracy and efficiency of the material delivery operation, and improves Practicality and intelligence level of the intelligent complete set of recommendation methods for power supplies.
  • the intelligent complete set of recommendation methods for power materials can be continuously improved, improve the accuracy of materials leaving the warehouse, and ensure the supply of materials. The reliability and accuracy of the system improve the economic benefits of material management and reduce material waste.
  • the invention is used to realize intelligent recommendation of complete sets of electric power materials in the outbound management of electric power materials.
  • Through correlation mining and analysis of historical outbound data of electric power materials the optimal complete set combination of electric power materials is analyzed and a complete set of electric power material solutions is intelligently recommended.
  • Figure 1 is a statistical chart of the historical outbound quantities of materials in Embodiment 2.
  • the present invention provides a method for intelligent complete set recommendation of electric power materials, based on the collection of historical outbound target data of electric power materials. It is assumed that the outgoing items are insulating gloves, moisture-proof mats, insulating telescopic ladders, electroscopes, insulating shoes, safety belts, There are a total of 10 types of insulated operating poles, power frequency signal generators, warning tapes and safety fence poles. According to the different purposes of power material delivery, the fault repair delivery records are taken for data analysis and processing. From the 4 delivery records of fault repair , list the outgoing items included in each outgoing record to obtain the initial data set D, as shown in Table 1:
  • the method includes:
  • Degree 1 Perform a list to obtain the first data item set C 1 , that is, Table 2. Eliminate items whose support is less than the minimum support in the above data item set C 1 . The minimum support is set to 50%, and the first candidate item set L is obtained. 1 , that is, Table 3,
  • the items whose support 2 is less than the minimum support are eliminated to obtain the second candidate item set L 2 , as shown in Table 5 ;
  • the support degree 3 less than the minimum is eliminated.
  • the third candidate item set L 3 is obtained, as shown in Table 7 ; by analogy, the support of any p outgoing items appearing in m outgoing records at the same time is calculated, and finally the pth item is obtained.
  • Candidate item set L p when the p-th candidate item set L p is an empty set, select L p-1 candidate item set as a frequent item set, and the k data items included in the frequent item set are power material intelligence A complete set of recommended solutions,
  • K1 ⁇ insulating gloves, insulating shoes, electroscope, safety belt ⁇ ;
  • K2 ⁇ insulated gloves, insulated shoes, electroscope, insulated operating rod ⁇ ;
  • K3 ⁇ Insulating gloves, insulating shoes, electroscope, power frequency signal generator ⁇ ;
  • Option 1 Insulated gloves, insulated shoes, electrical tester, safety belt;
  • Option 2 Insulating gloves, insulating shoes, electroscope, and insulating operating rod;
  • Option 3 Insulating gloves, insulating shoes, electroscope, power frequency signal generator.
  • the present invention provides a method for intelligent complete set recommendation of electric power materials, which is based on the collection of historical outgoing target data of electric power materials. It is assumed that the outgoing items are single-phase smart energy meters, 500V aluminum core low-voltage wires, iron accessories, and three-phase intelligent electric energy. There are 5 types of meters and leakage switches, and the objects of use for the outbound delivery of power materials are different. Select the outbound records of first aid kit materials for data classification processing. Select 4 outbound records of first aid kits, and conduct the outgoing items included in each outbound record. list to obtain the initial data set D, as shown in Table 8:
  • the method includes:
  • the items with support less than the minimum support are eliminated, and the minimum support is set to 50%, and the first candidate item set L 1 is obtained, that is, Table 10.
  • the support is eliminated from the above second data item set C 2
  • the second candidate item set L 2 is obtained, as shown in Table 12 ;
  • the number of simultaneous occurrences of the outgoing items and their corresponding support 3 are listed to obtain the third data item set C 3 .
  • the support degree 3 less than the minimum is eliminated.
  • the third candidate item set L 3 is obtained, as shown in Table 14 ; by analogy, the support of any p outgoing items appearing in m outgoing records at the same time is calculated, and the pth item set is finally obtained.
  • Candidate item set L p when the p-th candidate item set L p is an empty set, select L p-1 candidate item set as a frequent item set, and the k data items included in the frequent item set are recommended by the power supply intelligent complete set. plan,
  • K1 ⁇ Single-phase smart energy meter, 500V aluminum core low-voltage wire, iron accessories ⁇ ;
  • K2 ⁇ single-phase smart energy meter, 500V aluminum core low-voltage wire, three-phase smart energy meter ⁇ ;
  • K3 ⁇ 500V aluminum core low-voltage wire, iron accessories, three-phase smart energy meter ⁇ ;
  • Option 1 Single-phase smart energy meter, 500V aluminum core low-voltage wire, iron accessories;
  • Option 2 Single-phase smart energy meter, 500V aluminum core low-voltage wire, three-phase smart energy meter;
  • Option 3 500V aluminum-core low-voltage wire, iron accessories, and three-phase smart energy meter.
  • the frequent items of the first solution include: single-phase smart energy meter, 500V aluminum core low-voltage wires and iron accessories. Find the single-phase smart energy meter respectively.
  • the frequent items in the second solution include: single-phase smart energy meter, 500V aluminum core low-voltage wire and three-phase smart energy meter. Find out the single-phase smart energy meter respectively.
  • the frequent items of the third solution include: 500V aluminum core low-voltage wires, iron accessories and three-phase smart energy meters. Find out the 500V aluminum core low-voltage wires respectively. The support of each and every two combinations of iron accessories and three-phase smart energy meters, one or more supports are less than the minimum support (the support of ⁇ 500V aluminum core low-voltage wire, three-phase smart energy meter ⁇ is less than minimum support), delete the recommended solution;
  • This intelligent complete package recommendation method for power materials collects data, classifies the outbound and outbound records of different power materials, and uses a reliable data mining correlation analysis algorithm to automatically generate an intelligent complete package for power materials.
  • this product improves the efficiency and accuracy of intelligent complete set recommendation of power supplies, improves the reliability of intelligent complete set recommendation of power supplies, and achieves the high-efficiency and high-efficiency business goals of power grid enterprises.

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Economics (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • Marketing (AREA)
  • Human Resources & Organizations (AREA)
  • Tourism & Hospitality (AREA)
  • Health & Medical Sciences (AREA)
  • Databases & Information Systems (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Development Economics (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Probability & Statistics with Applications (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Accounting & Taxation (AREA)
  • Software Systems (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Fuzzy Systems (AREA)
  • Finance (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

本发明电力物资智能成套推荐的方法，以采集电力物资的历史出库目标数据为依据，假定出料物品为a1,……an种，选取具有相同出料目的m个出库记录，对每个出库记录所包含出料物品进行列表，得到初始数据集D；计算出每个出料物品a1,……an在m个出库记录下出现支持度，得到第一数据项集C1和第一候选项集L1；计算出任意两个出料物品同时出现在m个出库记录出现支持度，得到第二数据项集C2和第二候选项集L2；以此类推，计算出任意p个出料物品同时出现在m个出库记录出现支持度，最终得到第p个候选项集Lp,当第p个候选项集Lp为空集时，选取Lp-1候选项集为频繁项集，频繁项集所包括k个数据项为电力物资智能成套推荐的方案。

Description

电力物资智能成套推荐的方法 技术领域
本发明涉及电力物资计算统计分析方法技术领域，具体为一种电力物资智能成套推荐的方法。
背景技术
电力系统中供应链物资管理是保障电力稳定运行的基本条件。在电力故障抢修、新建配电网工程、新建线路工程、线路巡检、用户报装、工程改建扩建等方面电力物资出库管理均起到至关重要的作用。近年来，随着电网企业的不断发展，为提升供应链物资管理精益化水平，提高基层工作人员物资出库效率，“无人值守仓库”、“自助领料”等新物资管理模式在不断兴起。但在“无人值守仓库”、“自助领料”等环节中，依然存在物资出库环节的物资漏出、错出、多出等情况，进而造成物资出库时间长、出库效率低的现象。现有技术中，公开了一些物资管理或物资成套相关的方法，例如：
中国专利CN106651653A公开了一种智能配电网工程辅助管理系统，它包括：计划管理模块，其用于将智能配电网工程总计划按照地域、线路分为多个分部工程，再将分部工程细化为分项工程。物资模块，其用于实现以设备安装地点及设备双重名称为根目录的物资管理。试验模块，其用于实现仓库试验计划管理、试验报告管理；继电保护定值管理模块，其用于制定定值挂网发布、执行、验收、归档流程，相关人员具备各自权限；自动化点表管理模块，其用于制定点表制定、点表审核、现场核对、验收、归档流程，相关人员具备各自权限；现场作业模块，其用于现场勘查、现场勘查记录。本发明可以自动协调计划、物资、定值、自动化点表、仓库调试、试验、资料管理等各环节。
中国专利CN109272268A公开了一种电力物资出库量测算方法及系统，涉及库存信息处理技术领域，特别是涉及电力物资库存信息处理方法及系统，包括，接收用户为电力物资测算其在未来时间段出库量的请求，根据请求电力物资的标识信息定位到该电力物资的兼容信息，根据请求电力物资、第一类电力物资和第二类电力物资的标识信息分别定位所述各电力物资的历史数据，根据所述历史数据分别测算所述各电力物资在所述未来时间段的基准出库量，以包括基于所述未来时间段的第一参考量、第二参考量以及请求电力物资的基准出库量构成的组合式的形式输出。本发明能够利用电力物资在仓库管理信息系统中的出库信息评价当前电力物资的库存风险，为进一步优化库存提供依据。
中国专利CN107748980A公开了一种信息化管理系统及该系统实现一体化台区成套提供的方法，它包括远程服务器以及远程控制终端；所述远程服务器包括显示器、操作部件(包括键盘和鼠标)以及与显示器进行线连接的处理主机器，所述处理主机器包括主机壳体以及设置在主体壳体内部的第一控制主板；所述远程控制终端包括终端壳体、设置在终端壳体上的显示屏、设置在终端壳体上处于显示屏下方的操作按键，所述终端壳体的内部设置有第二控制主板。本发明简单易懂、易于维护、并可应用于工厂化物资管理。
这些公开的物资管理或物资成套的方法虽有其创新性与实用性，但无法较好的适用于电力物资智能成套的方法。电力成套方案具有不固定、不统一、各个应用场景不尽相同的多样性，因此，统一制定物资成套规则将不适用于各个供电单位。而现有公开方法CN106651653A的一种智能配电网工程辅助管理系统，其侧重点在于主要应用在配网工程项目管理，对工程计划到项目施工、项目竣工、项目验收进行管理。其中的物资成套则是利用项目施工地点为基础，利用施工地点这一属性进行物资成套分类，并无过多智能成套推荐相关方法；CN109272268A的电力物资出库量测算方法及系统，其发明主要在于，运用电力物资的历史数据，根据所述历史数据分别测算所述各电力物资在所述未来时间段的基准出库量。基于目前情况分析，电力物资出库量受物资工程项目、需求计划、采购计划、物资实时库存等诸多因素所影响，根据历史出库量测算未来出库量的结果与实际出库量有较大差异；CN107748980A的信息化管理系统及该系统实现一体化台区成套提供的方法，则是通过远程服务器、远程终端结合信息化管理系统，实现一套物资管理的一体化终端系统及方法。该类型的物资管理系统及其方法已趋于成熟，相关智能化物资管理的系统以及方法已是青出于蓝，该方法已无较大参考意义。
发明电力物资智能成套推荐的方法，是指电力物资在日常运维、检修、项目施工等物资出库使用场景中，结合物资的历史出库数据，采用连续周期或间断周期进行准确分析计算处理，利用数据挖掘关联分析Apriori算法，对电力物资进行智能成套推荐，实现数据挖掘关联分析在电力物资成套方面的深度运用。物资智能成套推荐的分析隶属供应链理论中的物资出库管理领域，在电力物资供应的应用处于起步阶段，还没有构成一套成熟稳定的智能物资推荐方法。该方法的发明在“无人值守仓库”、“自助领料”的基础上能再次提高物资出库效率、物资出库的准确率，对提升物资精益化管理水平具有重要意义。
发明内容
有鉴于此，本发明主要提供一种电力物资智能成套推荐的方法，为电力物资智能成套推荐 提供解决思路，利用计算机充分获取、存储物资的历史出库数据、历史出库关联数据并使用可靠的数据挖掘关联分析算法代替传统手工分析，提高计算的精准度，提升电力物资智能成套推荐结果的准确性与可用性。
为了完成本申请的发明目的，本申请采用以下技术方案：
本发明的一种电力物资智能成套推荐的方法，以采集电力物资的历史出库目标数据为依据，假定出料物品为a1,……an共n种，从电力物资的历史出库目标数据中选取具有相同出料目的m个出库记录，对每个出库记录所包含的出料物品进行列表，得到初始数据集D,其中:
(1)、得出第一候选项集L1
计算出每个出料物品a1,……an在m个出库记录下出现的支持度，即支持度1＝(a1,……an在m个出库记录出现的次数)/m,将a1,……an及其相对应的支持度1进行列表，得到第一数据项集C1，在上述数据项集C1中剔除支持度小于最小支持度的物品，得到第一候选项集L1,
(2)、得出第二候选项集L2
根据第一候选项集L1，计算出任意两个出料物品同时出现在m个出库记录出现的支持度，即支持度2＝(任意两个出料物品同时出现的次数)/m,将任意两个出料物品同时出现的次数及其相对应的支持度2进行列表，得到第二数据项集C2，在上述第二数据项集C2中剔除支持度2小于最小支持度的物品，得到第二候选项集L2；
(3)、得到候选频繁k项集
重复步骤(2)，计算出任意三个出料物品同时出现在m个出库记录出现的支持度，即支持度3＝(任意三个出料物品同时出现的次数)/m,将任意三个出料物品同时出现的次数及其相对应的支持度3进行列表，得到第三数据项集C3，在上述第三数据项集C3中剔除支持度3小于最小支持度的物品，得到第三候选项集L3；以此类推，计算出任意p个出料物品同时出现在m个出库记录出现的支持度，最终得到第p个候选项集Lp,当第p个候选项集Lp为空集时，选取Lp-1候选项集为频繁项集，频繁项集所包括的k个数据项为电力物资智能成套推荐的方案。
本发明的电力物资智能成套推荐的方法，其中：它还包括：步骤(4)，步骤(4)为确定频繁项集的关联规则,它包括：
(I)、计算所得到频繁项集中所有子集的支持度
假定每个频繁项集中包括：A1，……AS个物品，A1，……AS为a1,……an中的一种，s<n，分别找出A1，……AS中每一个、每两个、每三个……和每(s-1)个组合的支持度，当上述支持度均大于最小支持度时，进行步骤(II)；否则删除该频繁项集；
(II)、计算所有项集的置信度
计算X关联Y规则的置信度，其中X和Y均是每个频繁项集中的A1，……AS中的一种或几种，(X关联Y)的置信度＝(X和Y)支持度/(X)支持度，X和Y没有交集，分别计算出：A1，……或AS物品组合的所有置信度；
(III)、得到频繁项集的关联规则
将上述的所有项集的置信度分别与最小置信度进行比较，挑选出大于最小置信度的关联，即得到了电力物资智能成套推荐的频繁项集的关联规则；
(IV)、按照关联规则推荐物品
根据关联规则，如果用户需要关联前的物品时，向用户同时推荐关联后的物品。
本发明的电力物资智能成套推荐的方法，其中：所述出料目的为出库项目、工程属性、出库原因、使用目的或使用对象。
本发明的电力物资智能成套推荐的方法，其中：所述最小支持度为设定数值，最小置信度为设定数值。
本发明的电力物资智能成套推荐的方法，其中：所述最小支持度为至少为50％，最小置信度至少为70％。
本发明的电力物资智能成套推荐的方法，其中：所述出库记录m至少为三个。
本发明的电力物资智能成套推荐的方法具有以下优点：
通过采集电力物资历史出库数据、历史出库关联数据，对所采集到并全部校验通过的电力物资历史出库数据进行分类处理，按物资使用对象、使用目的、出库原因等多维度进行分类。按照不同使用分类、不同使用出库记录，利用数据挖掘关联分析，确定初始数据集合；确定最小支持度、最小置信度；挖掘数据频繁项集；计算频繁项集关联规则置信度，确定最优频繁关联规则，进而得到最优电力物资智能成套推荐方案。本发明提供电力物资智能成套推荐计算分析方法，利用数据挖掘关联分析法计算电力物资智能成套推荐结果，生成最优智能推荐电力物资成套方案，提升物资出库作业的准确率与出库效率，提高电力物资智能成套推荐方法的实用性与智能化水平。通过本研究成果，将人工从繁杂重复的数据收集，统计，计算分析中解放出来，提高基层员工的工作效率，让电力物资智能成套推荐方法不断精进，提升物资出库的准确率，保障物资供应的可靠性、准确性，提高物资管理的经济效益，减少物资浪费。
本发明用于在电力物资出库管理环节，实现电力物资成套智能推荐，经过对电力物资的历史出库数据进行关联挖掘分析，分析最优的电力物资成套组合，智能推荐电力物资成套方案。 通过采集电力物资历史出库数据；采集电力物资历史出库关联数据；智能化开展电力物资智能成套推荐分析，自动根据出库对象生成物资成套最优推荐结果数据。
附图说明
图1为实施例二中物资历史出库量统计图。
具体实施方式
为使本发明的目的、技术方案和优点更加清楚明了，下面结合具体实施方式并参照附图，对本发明进一步详细说明。应该理解，这些描述只是示例性的，而并非要限制本发明的范围。此外，在以下说明中，省略了对公知结构和技术的描述，以避免不必要地混淆本发明的概念。
实施例一
本发明的一种电力物资智能成套推荐的方法，以采集电力物资的历史出库目标数据为依据，假定出料物品为绝缘手套、防潮垫、绝缘伸缩梯、验电器、绝缘鞋、安全带、绝缘操作杆、工频信号发生器、警示带和安全围栏杆共10种，按电力物资出库使用目的的不同，取故障抢修出库记录进行数据分析处理，从故障抢修的4个出库记录中，对每个出库记录所包含的出料物品进行列表，得到初始数据集D,如表1所示：
表1
该方法包括：
(1)、得出第一候选项集L1
计算出每个出料物品绝缘手套、防潮垫、绝缘伸缩梯、验电器、绝缘鞋、安全带、绝缘操作杆、工频信号发生器、警示带和安全围栏杆在4个出库记录下出现的支持度，即支持度1＝(绝缘手套、防潮垫、绝缘伸缩梯、验电器、绝缘鞋、安全带、绝缘操作杆、工频信号发生器、警示带和安全围栏杆在4个出库记录出现的次数)/4,将绝缘手套、防潮垫、绝缘伸缩梯、验电器、绝缘鞋、安全带、绝缘操作杆、工频信号发生器、警示带和安全围栏杆及其相对应的支持度1 进行列表，得到第一数据项集C1，即表2，在上述数据项集C1中剔除支持度小于最小支持度的物品，最小支持度设定为50％，得到第一候选项集L1,即表3，
表2

表3
(2)、得出第二候选项集L2
根据第一候选项集L1，计算出任意两个出料物品同时出现在m个出库记录出现的支持度，即支持度2＝(任意两个出料物品同时出现的次数)/m,将任意两个出料物品同时出现的次数及其相对应的支持度2进行列表，得到第二数据项集C2，如表4所示，在上述第二数据项集C2中剔除支持度2小于最小支持度的物品，得到第二候选项集L2，如表5所示；

表4
表5
(3)、得到候选频繁k项集
重复步骤(2)，计算出任意三个出料物品同时出现在m个出库记录出现的支持度，即支持度3＝(任意三个出料物品同时出现的次数)/m,将任意三个出料物品同时出现的次数及其相对应的支持度3进行列表，得到第三数据项集C3，如表6所示，在上述第三数据项集C3中剔除支持度3小于最小支持度的物品，得到第三候选项集L3，如表7所示；以此类推，计算出任意p个出料物品同时出现在m个出库记录出现的支持度，最终得到第p个候选项集Lp,当第p个候选项集Lp为空集时，选取Lp-1候选项集为频繁项集，频繁项集所包括的k个数据项为电力物资智能 成套推荐的方案，

表6

表7
得到最优数据频繁项集K
K1＝{绝缘手套,绝缘鞋,验电器,安全带}；
K2＝{绝缘手套,绝缘鞋,验电器,绝缘操作杆}；
K3＝{绝缘手套,绝缘鞋,验电器,工频信号发生器}；
结论：通过对该历史出库数据的挖掘计算分析，最终电力物资智能成套方案为：
方案一：绝缘手套,绝缘鞋,验电器,安全带；
方案二：绝缘手套,绝缘鞋,验电器,绝缘操作杆；
方案三：绝缘手套,绝缘鞋,验电器,工频信号发生器。
实施例二
本发明的一种电力物资智能成套推荐的方法，以采集电力物资的历史出库目标数据为依据，假定出料物品为单相智能电能表、500V铝芯低压电线、铁附件、三相智能电能表和漏电开关共5种，电力物资出库的使用对象不同，选取急救包物资出库记录进行数据分类处理，选取急救包的4个出库记录，对每个出库记录所包含的出料物品进行列表，得到初始数据集D,如表8所示：
表8
该方法包括：
(1)、得出第一候选项集L1
计算出每个出料物品单相智能电能表、500V铝芯低压电线、铁附件、三相智能电能表和漏电开关在4个出库记录下出现的支持度，即支持度1＝(单相智能电能表、500V铝芯低压电线、铁附件、三相智能电能表和漏电开关在4个出库记录出现的次数)/m,将单相智能电能表、500V铝芯低压电线、铁附件、三相智能电能表和漏电开关及其相对应的支持度1进行列表，得到第一数据项集C1，即表9，在上述数据项集C1中剔除支持度小于最小支持度的物品，最小支持度设定为50％，得到第一候选项集L1,即表10，
表9
表10
(2)、得出第二候选项集L2
根据第一候选项集L1，计算出任意两个出料物品同时出现在4个出库记录出现的支持度，即支持度2＝(任意两个出料物品同时出现的次数)/4,将任意两个出料物品同时出现的次数及其相对应的支持度2进行列表，得到第二数据项集C2，如表11所示，在上述第二数据项集C2中剔除支持度2小于最小支持度的物品，得到第二候选项集L2，如表12所示；
表11

表12
(3)、得到候选频繁k项集
重复步骤(2)，计算出任意三个出料物品同时出现在4个出库记录出现的支持度，即支持度3＝(任意三个出料物品同时出现的次数)/4,将任意三个出料物品同时出现的次数及其相对应的支持度3进行列表，得到第三数据项集C3，如表13所示，在上述第三数据项集C3中剔除支持度3小于最小支持度的物品，得到第三候选项集L3，如表14所示；以此类推，计算出任意p个出料物品同时出现在m个出库记录出现的支持度，最终得到第p个候选项集Lp,当第p个候选项集Lp为空集时，选取Lp-1候选项集为频繁项集，频繁项集所包括的k个数据项为电力物资智能成套推荐的方案，
表13
表14
得到以下三个频繁项集
K1＝{单相智能电能表，500V铝芯低压电线，铁附件}；
K2＝{单相智能电能表，500V铝芯低压电线，三相智能电能表}；
K3＝{500V铝芯低压电线，铁附件，三相智能电能表}；
方案一：单相智能电能表，500V铝芯低压电线，铁附件；
方案二：单相智能电能表，500V铝芯低压电线，三相智能电能表；
方案三：500V铝芯低压电线，铁附件，三相智能电能表。
(4)、确定频繁项集的关联规则,它包括：
(I)、计算所得到上述三个电力物资智能成套推荐的方案中的支持度
在所得到三个电力物资智能成套推荐的方案，第一个方案的频繁项集中包括：单相智能电能表，500V铝芯低压电线和铁附件三个物品，分别找出单相智能电能表，500V铝芯低压电线和铁附件中每一个和每两个组合的支持度，当支持度均大于最小支持度时，进行步骤(II)；
在所得到三个电力物资智能成套推荐的方案，第二个方案的频繁项集中包括：单相智能电能表，500V铝芯低压电线和三相智能电能表三个物品，分别找出单相智能电能表，500V铝芯低压电线和三相智能电能表中每一个和每两个组合的支持度，存在一个或多个支持度小于最小支持度({单相智能电能表，三相智能电能表}，{500V铝芯低压电线，三相智能电能表}的支持度均小于最小支持度)，删除该推荐方案；
在所得到三个电力物资智能成套推荐的方案，第三个方案的频繁项集中包括：500V铝芯低压电线，铁附件和三相智能电能表三个物品，分别找出500V铝芯低压电线，铁附件，三相智能电能表中每一个和每两个组合的支持度，存在一个或多个支持度小于最小支持度({{500V铝芯低压电线，三相智能电能表}的支持度小于最小支持度)，删除该推荐方案；
(II)、计算置信度
对于方案一，计算X关联Y的置信度，其中X和Y均是每个频繁项集中的A1，……AS中的一种或几种，(X关联Y)的置信度＝(X和Y)支持度/(X)支持度，X和Y没有交集，分别计算出：A1，……或AS物品组合的所有置信度，如表15所示，计算出：单相智能电能表关联500V铝芯低压电线的置信度，单相智能电能表关联铁附件的置信度，500V铝芯低压电线关联单相智能电能表的置信度，500V铝芯低压电线关联铁附件的置信度，铁附件关联单相智能电能表的置信度，铁附件关联500V铝芯低压电线的置信度，单相智能电能表关联500V铝芯低压电线和铁附件的置信度，500V铝芯低压电线关联单相智能电能表和铁附件的置信度，铁附件关联单相 智能电能表和500V铝芯低压电线的置信度，单相智能电能表和500V铝芯低压电线关联铁附件的置信度，单相智能电能表和铁附件关联500V铝芯低压电线的置信度，铁附件和500V铝芯低压电线关联单相智能电能表的置信度,如表15所示。
表15
(III)、得到频繁项集的关联规则
将上述的所有项集的置信度分别与最小置信度进行比较，挑选出大于最小置信度的关联，最小置信度设定为70％,可得，①单相智能电能表＝>500V铝芯低压电线；②500V铝芯低压电线＝>单相智能电能表；③单相智能电能表，铁附件＝>500V铝芯低压电线；④500V铝芯低压电线，铁附件＝>单相智能电能表，即得到了电力物资智能成套推荐的频繁项集的关联规则。
总结：通过对该历史出库数据的挖掘计算分析，最终得到数据频繁关联规则如下：
频繁关联规则1：单相智能电能表＝>500V铝芯低压电线；
频繁关联规则2：500V铝芯低压电线＝>单相智能电能表；
频繁关联规则3：单相智能电能表，铁附件＝>500V铝芯低压电线；
频繁关联规则4：500V铝芯低压电线，铁附件＝>单相智能电能表；
(IV)、按照关联规则推荐物品
根据关联规则，则有如下方案推荐：
①如果用户同时选择单相智能电能表时，根据关联规则1，向用户自动推荐500V铝芯低压电线。
②如果用户同时选择500V铝芯低压电线时，根据关联规则2，向用户自动推荐单相智能电能表。
③如果用户同时选择单相智能电能表和铁附件时，根据关联规则3，向用户自动推荐500V铝芯低压电线。
④如果用户同时选择500V铝芯低压电线和铁附件时，根据关联规则4，向用户自动推荐单相智能电能表。
如图1所示，该算法计算分析的物资智能推荐方案结果与物资历史出库量统计中的物资类别一致。
该电力物资智能成套推荐方法通过收集数据，通过对不同电力物资出库使用出库记录进行分类，利用可靠的数据挖掘关联分析算法，自动生成电力物资智能成套方案。该产品通过计算机数据处理与算法分析，提高了电力物资智能成套推荐工作效率与准确率，提升了电力物资智能成套推荐的可靠性，实现电网企业高效率、高效益的经营目标。
应当理解的是，本发明的上述具体实施方式仅仅用于示例性说明或解释本发明的原理，而不构成对本发明的限制。因此，在不偏离本发明的精神和范围的情况下所做的任何修改、等同替换、改进等，均应包含在本发明的保护范围之内。此外，本发明所附权利要求旨在涵盖落入所附权利要求范围和边界、或者这种范围和边界的等同形式内的全部变化和修改例。

Claims (6)

  1. 一种电力物资智能成套推荐的方法，以采集电力物资的历史出库目标数据为依据，假定出料物品为a1,……an共n种，从电力物资的历史出库目标数据中选取具有相同出料目的m个出库记录，对每个出库记录所包含的出料物品进行列表，得到初始数据集D,其特征在于:
    (1)、得出第一候选项集L1
    计算出每个出料物品a1,……an在m个出库记录下出现的支持度，即支持度1＝(a1,……an在m个出库记录出现的次数)/m,将a1,……an及其相对应的支持度1进行列表，得到第一数据项集C1，在上述数据项集C1中剔除支持度小于最小支持度的物品，得到第一候选项集L1,
    (2)、得出第二候选项集L2
    根据第一候选项集L1，计算出任意两个出料物品同时出现在m个出库记录出现的支持度，即支持度2＝(任意两个出料物品同时出现的次数)/m,将任意两个出料物品同时出现的次数及其相对应的支持度2进行列表，得到第二数据项集C2，在上述第二数据项集C2中剔除支持度2小于最小支持度的物品，得到第二候选项集L2；
    (3)、得到候选频繁k项集
    重复步骤(2)，计算出任意三个出料物品同时出现在m个出库记录出现的支持度，即支持度3＝(任意三个出料物品同时出现的次数)/m,将任意三个出料物品同时出现的次数及其相对应的支持度3进行列表，得到第三数据项集C3，在上述第三数据项集C3中剔除支持度3小于最小支持度的物品，得到第三候选项集L3；以此类推，计算出任意p个出料物品同时出现在m个出库记录出现的支持度，最终得到第p个候选项集Lp,当第p个候选项集Lp为空集时，选取Lp-1候选项集为频繁项集，频繁项集所包括的k个数据项为电力物资智能成套推荐的方案。
  2. 如权利要求1所述的电力物资智能成套推荐的方法，其特征在于：它还包括：步骤(4)，步骤(4)为确定频繁项集的关联规则,它包括：
    (I)、计算所得到频繁项集中所有子集的的支持度
    假定每个频繁项集中包括：A1，……AS个物品，A1，……AS为a1,……an中的一种，s<n，分别找出A1，……AS中每一个、每两个、……和每(s-1)个组合的支持度，当上述支持度均大于最小支持度时，进行步骤(II)；否则删除该频繁项集；
    (II)、计算所有项集的置信度
    计算X关联Y规则的置信度，其中X和Y均是每个频繁项集中的A1，……AS中的一种或几 种，(X关联Y)的置信度＝(X和Y)支持度/(X)支持度，X和Y没有交集，分别计算出：A1，……或AS物品组合的所有置信度；
    (III)、得到频繁项集的关联规则
    将上述的所有项集的置信度分别与最小置信度进行比较，挑选出大于最小置信度的关联，即得到了电力物资智能成套推荐的频繁项集的关联规则；
    (IV)、按照关联规则推荐物品
    根据关联规则，如果用户选择关联前的物品时，智能向用户同时推荐关联后的物品。
  3. 如权利要求2所述的电力物资智能成套推荐的方法，其特征在于：所述出料目的为出库项目、工程属性、出库原因、使用目的或使用对象。
  4. 如权利要求3所述的电力物资智能成套推荐的方法，其特征在于：所述最小支持度为设定数值，最小置信度为设定数值。
  5. 如权利要求4所述的电力物资智能成套推荐的方法，其特征在于：所述最小支持度为至少为50％，最小置信度至少为70％。
  6. 如权利要求5所述的电力物资智能成套推荐的方法，其特征在于：所述出库记录m至少为三个。
PCT/CN2023/095184 2022-09-20 2023-05-19 电力物资智能成套推荐的方法 WO2024060652A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202211142466.6 2022-09-20
CN202211142466.6A CN115481956A (zh) 2022-09-20 2022-09-20 电力物资智能成套推荐的方法

Publications (1)

Publication Number Publication Date
WO2024060652A1 true WO2024060652A1 (zh) 2024-03-28

Family

ID=84424305

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2023/095184 WO2024060652A1 (zh) 2022-09-20 2023-05-19 电力物资智能成套推荐的方法

Country Status (2)

Country Link
CN (1) CN115481956A (zh)
WO (1) WO2024060652A1 (zh)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115481956A (zh) * 2022-09-20 2022-12-16 云南电网有限责任公司楚雄供电局 电力物资智能成套推荐的方法

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6832216B2 (en) * 2001-03-16 2004-12-14 Hitachi, Ltd. Method and system for mining association rules with negative items
CN103020256A (zh) * 2012-12-21 2013-04-03 电子科技大学 一种大规模数据的关联规则挖掘方法
CN108596750A (zh) * 2018-05-09 2018-09-28 西安交通大学 一种基于并行关联规则挖掘的发票虚开识别方法
CN110162566A (zh) * 2019-04-15 2019-08-23 平安普惠企业管理有限公司 业务数据的关联分析方法、装置、计算机设备及存储介质
CN115481956A (zh) * 2022-09-20 2022-12-16 云南电网有限责任公司楚雄供电局 电力物资智能成套推荐的方法

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6832216B2 (en) * 2001-03-16 2004-12-14 Hitachi, Ltd. Method and system for mining association rules with negative items
CN103020256A (zh) * 2012-12-21 2013-04-03 电子科技大学 一种大规模数据的关联规则挖掘方法
CN108596750A (zh) * 2018-05-09 2018-09-28 西安交通大学 一种基于并行关联规则挖掘的发票虚开识别方法
CN110162566A (zh) * 2019-04-15 2019-08-23 平安普惠企业管理有限公司 业务数据的关联分析方法、装置、计算机设备及存储介质
CN115481956A (zh) * 2022-09-20 2022-12-16 云南电网有限责任公司楚雄供电局 电力物资智能成套推荐的方法

Also Published As

Publication number Publication date
CN115481956A (zh) 2022-12-16

Similar Documents

Publication Publication Date Title
CN101179195B (zh) 配电网规划方案辅助决策系统
CN104777813A (zh) 综合气象观测运行监控系统及其监控方法
WO2024060652A1 (zh) 电力物资智能成套推荐的方法
CN115173550A (zh) 一种分布式光伏发电实时监控方法和系统
CN115528817A (zh) 一种用户端智能配用电系统、方法、介质、设备及终端
CN111552686B (zh) 一种电力数据质量评估方法及其装置
CN115965258A (zh) 一种网格化平台管理方法、系统、终端设备及存储介质
CN111179117A (zh) 一种智能配电网态势感知效果评定的计算方法及装置
CN103018611B (zh) 一种基于电流分解的非侵入式负载监测方法及系统
CN111091223B (zh) 一种基于物联网智能感知技术的配变短期负荷预测方法
CN104836329B (zh) 可提高调度员在事故发生时分析处理能力的地调调度支持系统
CN110311369A (zh) 一种电网稳定断面短期负荷曲线预测方法及系统
Hu et al. Research on intelligent inspection technology of distribution network based on RFID
CN105335824B (zh) 基于数据中心的配电网故障抢修指挥方法与系统
Xiao et al. The influence of green development idea on power supply reliability and power quality of distribution network
CN115587635A (zh) 一种基于中性点偏移判断的台区线损分析方法、系统
CN115098991A (zh) 一种基于综合能源仿真技术的能效诊断方法
Jing et al. Visualized Intelligent Management and Control Platform for Distribution Network
Yan et al. Comprehensive energy efficiency rating evaluation model of enterprise power based on grid big data
Zhao et al. Research on High-Frequency Spatiotemporal Electrical Carbon Intensity
Liu et al. Evaluation Index System of Power Grid Corporation's Operation Benefits Based on Future Low-Carbon Energy Framework
Pan et al. Research on Multi-Level and Multi-Dimensional Early Warning System of Line Loss under the Condition of Improving Real-Time Monitoring of Equipment Operation Status
Wang et al. Research on Fault Diagnosis Platform of Distribution Network Based on Multi-source Data Fusion
Budu et al. Review on Smart Power Distribution Networks: A Sustainable Developmental Approach
Wei et al. Evaluation method for power supply service quality based on combinatorial weighting method and grey relational degree

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 23866949

Country of ref document: EP

Kind code of ref document: A1