CN112926854A - Distribution network emergency material demand reporting method based on data intelligent perception - Google Patents
Distribution network emergency material demand reporting method based on data intelligent perceptionDownload PDFInfo
- Publication number
- CN112926854A CN112926854ACN202110206032.7ACN202110206032ACN112926854ACN 112926854 ACN112926854 ACN 112926854ACN 202110206032 ACN202110206032 ACN 202110206032ACN 112926854 ACN112926854 ACN 112926854A
- Authority
- CN
- China
- Prior art keywords
- emergency
- distribution network
- demand
- material demand
- suppliers
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Educational Administration (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Development Economics (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
Description
Technical Field
The invention relates to the technical field of big data and power material allocation, in particular to a distribution network emergency material demand reporting method based on data intelligent perception.
Background
When an emergency material demand is generated due to the occurrence of an electric power emergency event, related personnel need to be dispatched to an accident site to check the damage condition of the material, the damage condition of the material is arranged into a report and is submitted to a responsible person for gathering, then the report is uniformly reported to a material management department, the process is recorded by the requirement reporting person on site, the report is gathered and reported through a computer after the requirement reporting person returns to an office, then the material management department enters a material system to inquire information such as inventory and the like, a final material allocation scheme is determined according to experience, the requirement reporting person cannot timely acquire the information such as the material inventory and a supplier on the accident site, the emergency material demand cannot be reported on the site, and the requirement of power supply emergency safety guarantee cannot be met.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The present invention has been made in view of the above-mentioned conventional problems.
Therefore, the invention provides a distribution network emergency material demand reporting method based on intelligent data sensing, which can solve the problem that the power supply safety cannot be guaranteed due to low on-site emergency repair efficiency.
In order to solve the technical problems, the invention provides the following technical scheme: the method comprises the steps of receiving emergency material demands submitted by power emergency material demand submitting personnel on an accident site, and starting different material demand response modes according to the stock conditions of required materials in a warehouse; when the material inventory meets the emergency material demand, carrying out intelligent allocation calculation on the warehouse inventory of the relevant emergency material demand, and feeding back an allocation plan to on-site material demand reporting personnel; when the material inventory can not meet the emergency material demand, selecting newly acquired distribution network material market suppliers and market price information from a distribution network material emergency supply subject database, grading the distribution network material market suppliers, calculating a recommended supplier list, generating an emergency material demand optimal supply plan at this time and feeding back the plan to the on-site material demand reporting personnel; and the field material demand reporting personnel feeds back the emergency demand material allocation plan or the optimal supply plan to the field emergency rescue commanding personnel according to the feedback emergency demand material allocation plan or the optimal supply plan.
The invention discloses a preferable scheme of a distribution network emergency material demand reporting method based on data intelligent perception, wherein the method comprises the following steps: before the emergency material demand is received, network crawler tools are used for periodically collecting the market price of the distribution network materials and the information of the distribution network material suppliers on the Internet; acquiring distribution network material inventory, historical transaction providers, historical purchase prices and supply period information in an electric power material system, and integrating various data sources of distribution network material supply; and forming the distribution network material emergency supply subject database through cleaning, conversion, integration and loading processing.
The invention discloses a preferable scheme of a distribution network emergency material demand reporting method based on data intelligent perception, wherein the method comprises the following steps: the web crawler tool comprises an engine, a scheduler, a downloader, a crawler, a pipeline, download middleware and crawler middleware.
The invention discloses a preferable scheme of a distribution network emergency material demand reporting method based on data intelligent perception, wherein the method comprises the following steps: the method also comprises the steps of periodically obtaining distribution network material inventory, historical transaction suppliers, historical purchase prices and supply period information data of a material system in the power grid through a data interface, converting the data according to a certain format, and entering a distribution network material emergency supply subject big database.
The invention discloses a preferable scheme of a distribution network emergency material demand reporting method based on data intelligent perception, wherein the method comprises the following steps: factors for the scoring include whether it is a historical transaction supplier and market price; obtaining the value R of the distribution network material supplieri(3 points of the payment suppliers in the material system, or 0 point of the payment suppliers otherwise) + (1 point of the suppliers in the same province, 2 points of the suppliers in the same region, or 0 point of the payment suppliers otherwise); according to market newspaperPrice, selection of the bulls-eye method for the market supplier ranking factor Pi(ii) a Distributing the distribution network material supplier score RiRanking coefficient PiObtaining three suppliers with high scores as a recommendation list; and generating an optimal purchasing supply plan of the emergency material demand and feeding the optimal purchasing supply plan back to the on-site material demand reporting personnel by combining the production cycle of the material required by the emergency of the distribution network.
The invention discloses a preferable scheme of a distribution network emergency material demand reporting method based on data intelligent perception, wherein the method comprises the following steps: the distribution network emergency material distribution method comprises the steps that after the quantity Z of the distribution network emergency materials is clear, the distribution network emergency materials need to be taken from a warehouse A, B, C which is close to an accident site, and the transportation distance between the warehouse A, B, C and the accident site is defined to be ma、mb、mcThe inventory of the materials in the warehouse A, B, C is k respectivelya、kb、kcThen the amount of material dispensed from the warehouse A, B, C is xa、xb、xc。
The invention discloses a preferable scheme of a distribution network emergency material demand reporting method based on data intelligent perception, wherein the method comprises the following steps: comprises when Z is<(ka+kb+kc) And then, the distribution network emergency materials are directly taken from the warehouse A, B, C three places, and the distribution quantity is xa、xb、xcThe constraint condition to be satisfied is xa<ka、xb<kb、xc<kcMeanwhile, a mathematical model of the allocation cost mini is established according to the shortest transportation time, wherein the mini is xa*ma+xb*mb+xc*mcObtaining a blending quantity value x after solvinga、xb、xc。
The invention discloses a preferable scheme of a distribution network emergency material demand reporting method based on data intelligent perception, wherein the method comprises the following steps: also includes when Z is>(ka+kb+kc) And then taking the distribution network emergency material inventory from the warehouse A, B, C to be k respectivelya、kb、kcTotal stock of materialsThe blending quantity is Z1, and the quantity of the left insufficient materials Z2 needs to be purchased from the outside, and the constraint condition is Z1+ Z2.
The invention has the beneficial effects that: the invention integrates various data intelligent sensing technologies, and through technologies such as a mobile communication technology, a network crawler technology, a data synchronization technology and the like, the invention can make the fastest power emergency demand material allocation and purchase supply scheme response to the field power emergency material demand when a power emergency event occurs, so that field emergency command personnel can timely master the power emergency material demand supply, and reasonably formulate a field emergency scheme, thereby avoiding the problem of low emergency material supply guarantee efficiency caused by the fact that the material demand reporting personnel records on the field, gathers and reports back to the office, and determines the final material allocation scheme.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise. Wherein:
fig. 1 is a schematic flow chart of a distribution network emergency material demand reporting method based on data intelligent sensing according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a script network crawler framework of a distribution network emergency material demand reporting method based on data intelligent sensing according to an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, specific embodiments accompanied with figures are described in detail below, and it is apparent that the described embodiments are a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making creative efforts based on the embodiments of the present invention, shall fall within the protection scope of the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Furthermore, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
The present invention will be described in detail with reference to the drawings, wherein the cross-sectional views illustrating the structure of the device are not enlarged partially in general scale for convenience of illustration, and the drawings are only exemplary and should not be construed as limiting the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.
Meanwhile, in the description of the present invention, it should be noted that the terms "upper, lower, inner and outer" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation and operate, and thus, cannot be construed as limiting the present invention. Furthermore, the terms first, second, or third are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected and connected" in the present invention are to be understood broadly, unless otherwise explicitly specified or limited, for example: can be fixedly connected, detachably connected or integrally connected; they may be mechanically, electrically, or directly connected, or indirectly connected through intervening media, or may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example 1
Referring to fig. 1 and fig. 2, a first embodiment of the present invention provides a method for reporting distribution network material demand based on data intelligent sensing, which specifically includes:
s1: receiving emergency material demands submitted by power emergency material demand reporting personnel on an accident site, and starting different material demand response modes according to the inventory condition of the demand materials in the warehouse. Referring to fig. 2, it should be noted that, before receiving the emergency material requirement, the method includes:
the method comprises the steps that a network crawler tool is used for collecting market prices of distribution network materials and information of distribution network material suppliers on the internet regularly;
acquiring distribution network material inventory, historical transaction providers, historical purchase prices and supply period information in an electric power material system, and integrating various data sources of distribution network material supply;
forming a distribution network material emergency supply subject database through cleaning, conversion, integration and loading treatment;
the web crawler tool comprises an engine, a scheduler, a downloader, a crawler, a pipeline, downloading middleware and crawler middleware;
scapy Engine: the device is responsible for communication, signal and data transmission among the Spider, ItemPipeline, Downloader and Schedule;
scheduler: the system is responsible for receiving a Request sent by an engine, arranging and enqueuing the Request according to a certain mode, and returning the Request to the engine when the Request is needed by the engine;
downloader (Downloader): the system is responsible for downloading all Requests sent by the script Engine, returning acquired Responses to the script Engine and handing over the Requests to the spinner for processing;
spider (crawler): it is responsible for processing all Responses, analyzing and extracting data from the Responses, acquiring data required by Item fields, submitting URL required to follow to an engine, and entering a Scheduler again;
item Pipeline: the method is used for processing the Item acquired from the Spider and performing post-processing (detailed analysis, filtration, storage and the like);
downloader middlewaes (download middleware): a component capable of customizing the extended download function;
spider middlewaes (Spider middleware): and the functional component can be used for self-defined extension and operation of the communication between the engine and the Spider.
Further, the method also comprises the following steps:
the method comprises the steps of periodically obtaining distribution network material inventory, historical transaction suppliers, historical purchase prices and supply period information data of a material system in a power grid through a data interface, converting the data according to a certain format, and entering a distribution network material emergency supply subject large database.
S2: when the material inventory meets the emergency material demand, the intelligent allocation calculation of the warehouse inventory is carried out on the relevant emergency material demand, and the allocation plan is fed back to the on-site material demand reporting personnel.
S3: when the material inventory can not meet the emergency material demand, newly acquired distribution network material market suppliers and market price information are selected from a distribution network material emergency supply subject database, the distribution network material market suppliers are scored, a recommended supplier list is calculated, and the emergency material demand optimal supply plan is generated and fed back to on-site material demand reporting personnel. It should be noted in this step that the scoring factors include:
whether it is a historical transaction supplier and market price;
obtaining the value R of the distribution network material supplieri(3 points of the payment suppliers in the material system, or 0 point of the payment suppliers otherwise) + (1 point of the suppliers in the same province, 2 points of the suppliers in the same region, or 0 point of the payment suppliers otherwise);
selecting a bulls-eye method for the market supplier ranking coefficient P according to market quotesi；
Distribution network material supplier score RiRanking coefficient PiTo obtain the top three suppliersIs a recommendation list;
and generating the optimal purchasing supply plan of the emergency material demand and feeding the optimal purchasing supply plan back to on-site material demand reporting personnel by combining the production cycle of the material required by the emergency of the distribution network.
S4: and feeding back the emergency demand material allocation plan or the optimal supply plan fed back by the field material demand reporting personnel to the field emergency rescue commanding personnel.
Preferably, in this embodiment, it should be specifically described that after the quantity Z of the distribution network emergency supplies is determined, three distribution network emergency supplies need to be called from the warehouse A, B, C that is closer to the accident site, and the transportation distance between the warehouse A, B, C and the accident site is defined as ma、mb、mcThe inventory of the warehouse A, B, C is ka、kb、kcThen the amount of material dispensed from the warehouse A, B, C is xa、xb、xc。
When Z is<(ka+kb+kc) In time, the emergency materials of the distribution network are directly taken from a warehouse A, B, C, and the allocation quantity is xa、xb、xcThe constraint condition to be satisfied is xa<ka、xb<kb、xc<kcMeanwhile, a mathematical model of the allocation cost mini is established according to the shortest transportation time, wherein the mini is xa*ma+xb*mb+xc*mcObtaining a blending quantity value x after solvinga、xb、xc。
When Z is>(ka+kb+kc) Then, the distribution network emergency material inventory is called from the warehouse A, B, C to be k respectivelya、kb、kcThe total material inventory allocation quantity is Z1, and the quantity of the remaining insufficient materials Z2 needs to be purchased from the outside, with the constraint of Z1+ Z2.
It should be noted again that, the invention combines the data intelligent perception technology, the electric power emergency material demand reporting personnel submits the emergency material demand quantity in real time through the mobile communication network at the accident site, and collects the data of various sources for calculation and analysis, including obtaining the information of distribution network material inventory, historical transaction supplier, historical purchase price, supply period, etc. in the power grid material system, when the material inventory meets the emergency demand, the related material inventory is calculated through the intelligent allocation of the warehouse, and the allocation plan is fed back to the site emergency material demand reporting personnel; when the material inventory can not meet the emergency material requirement, the network crawler tool is used for acquiring information such as a distribution network material provider and market price on the Internet, judging whether the material provider acquired on the Internet is a historical transaction provider in the system, judging the material supply period, the current market price and the historical purchase price, calculating a recommended provider list, generating an optimal supply scheme of the emergency material requirement and feeding back the optimal supply scheme to a field material requirement submitting person, and the field material requirement submitting person feeds back the quantity of the emergency material requirement according to the response grade of an electric emergency event.
Example 2
In order to better verify and explain the technical effects adopted in the method of the invention, the embodiment selects the traditional manual reporting method to perform a comparison test with the method of the invention, and compares the test results by means of scientific demonstration to verify the real effect of the method of the invention.
In order to verify that the method has higher efficiency and power supply reliability compared with the traditional method, the traditional method and the method are adopted to respectively carry out real-time measurement and comparison on a test sample (distribution network material demand data of a certain power supply bureau of a power grid in south of 5 months in 2019) of a simulation platform in the embodiment.
And (3) testing environment: the method comprises the steps of importing a test sample into a simulation platform to simulate driving and simulate a reporting scene, respectively utilizing manual operation of a traditional method to carry out reporting test and obtain test result data, starting automation equipment and utilizing MATLB to realize programming simulation of the method, obtaining simulation data according to an experimental result, testing 10 groups of data by the two methods, calculating time for obtaining each group of data, and carrying out error comparison calculation with an actual predicted value input by simulation, wherein the results are shown in a table.
Table 1: and comparing the efficiency and reliability data with a table.
Referring to table 1, it can be seen that, under the same experimental conditions, the manual reporting time of the conventional method is longer, and the error is larger, but the method of the present invention is improved well compared with the conventional method, the reporting time is shortened, the power supply safety and reliability are greatly improved, and a good help is provided on the research dilemma of the prior art.
It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, which should be covered by the claims of the present invention.
Claims (8)
1. A distribution network emergency material demand reporting method based on data intelligent perception is characterized by comprising the following steps: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
receiving emergency material demands submitted by power emergency material demand reporting personnel on an accident site, and starting different material demand response modes according to the stock conditions of the demand materials in a warehouse;
when the material inventory meets the emergency material demand, carrying out intelligent allocation calculation on the warehouse inventory of the relevant emergency material demand, and feeding back an allocation plan to on-site material demand reporting personnel;
when the material inventory can not meet the emergency material demand, selecting newly acquired distribution network material market suppliers and market price information from a distribution network material emergency supply subject database, grading the distribution network material market suppliers, calculating a recommended supplier list, generating an emergency material demand optimal supply plan at this time and feeding back the plan to the on-site material demand reporting personnel;
and the field material demand reporting personnel feeds back the emergency demand material allocation plan or the optimal supply plan to the field emergency rescue commanding personnel according to the feedback emergency demand material allocation plan or the optimal supply plan.
2. The distribution network emergency material demand reporting method based on data intelligent perception according to claim 1, characterized in that: prior to receiving the emergency material demand comprising,
the method comprises the steps that a network crawler tool is used for collecting market prices of distribution network materials and information of distribution network material suppliers on the internet regularly;
acquiring distribution network material inventory, historical transaction providers, historical purchase prices and supply period information in an electric power material system, and integrating various data sources of distribution network material supply;
and forming the distribution network material emergency supply subject database through cleaning, conversion, integration and loading processing.
3. The distribution network emergency material demand reporting method based on data intelligent perception according to claim 2, characterized in that: the web crawler tool comprises an engine, a scheduler, a downloader, a crawler, a pipeline, download middleware and crawler middleware.
4. The distribution network emergency material demand reporting method based on data intelligent perception according to claim 3, characterized in that: the method also comprises the steps of periodically obtaining distribution network material inventory, historical transaction suppliers, historical purchase prices and supply period information data of a material system in the power grid through a data interface, converting the data according to a certain format, and entering a distribution network material emergency supply subject big database.
5. The distribution network emergency material demand reporting method based on data intelligent perception according to claim 2 or 4, characterized in that: factors for the scoring include whether it is a historical transaction supplier and market price;
obtaining the value R of the distribution network material supplieri(3 points of the payment suppliers in the material system, or 0 point of the payment suppliers otherwise) + (1 point of the suppliers in the same province, 2 points of the suppliers in the same region, or 0 point of the payment suppliers otherwise);
selecting a bulls-eye method for the market supplier ranking coefficient P according to market quotesi；
Distributing the distribution network material supplier score RiRanking coefficient PiObtaining three suppliers with high scores as a recommendation list;
and generating an optimal purchasing supply plan of the emergency material demand and feeding the optimal purchasing supply plan back to the on-site material demand reporting personnel by combining the production cycle of the material required by the emergency of the distribution network.
6. The distribution network emergency material demand reporting method based on data intelligent perception according to claim 5, characterized in that: the distribution network emergency material distribution method comprises the steps that after the quantity Z of the distribution network emergency materials is clear, the distribution network emergency materials need to be taken from a warehouse A, B, C which is close to an accident site, and the transportation distance between the warehouse A, B, C and the accident site is defined to be ma、mb、mcThe inventory of the materials in the warehouse A, B, C is k respectivelya、kb、kcThen the amount of material dispensed from the warehouse A, B, C is xa、xb、xc。
7. The distribution network emergency material demand reporting method based on data intelligent perception according to claim 6, characterized in that: comprises when Z is<(ka+kb+kc) And then, the distribution network emergency materials are directly taken from the warehouse A, B, C three places, and the distribution quantity is xa、xb、xcThe constraint condition to be satisfied is xa<ka、xb<kb、xc<kcAt the same time according toEstablishing a mathematical model of the allocation cost minl in the shortest transportation time, wherein the minl is xa*ma+xb*mb+xc*mcObtaining a blending quantity value x after solvinga、xb、xc。
8. The distribution network emergency material demand reporting method based on data intelligent perception according to claim 7, characterized in that: also includes when Z is>(ka+kb+kc) And then taking the distribution network emergency material inventory from the warehouse A, B, C to be k respectivelya、kb、kcThe total material inventory allocation quantity is Z1, and the quantity of the remaining insufficient materials Z2 needs to be purchased from the outside, with the constraint of Z1+ Z2.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110206032.7ACN112926854B (en) | 2021-02-24 | 2021-02-24 | Distribution network emergency material demand reporting method based on data intelligent perception |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110206032.7ACN112926854B (en) | 2021-02-24 | 2021-02-24 | Distribution network emergency material demand reporting method based on data intelligent perception |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112926854Atrue CN112926854A (en) | 2021-06-08 |
| CN112926854B CN112926854B (en) | 2024-03-29 |
Family
ID=76171551
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110206032.7AActiveCN112926854B (en) | 2021-02-24 | 2021-02-24 | Distribution network emergency material demand reporting method based on data intelligent perception |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112926854B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114154745A (en)* | 2021-12-13 | 2022-03-08 | 南方电网深圳数字电网研究院有限公司 | Intelligent material allocation method and device |
| CN114418666A (en)* | 2021-12-23 | 2022-04-29 | 湖南天河国云科技有限公司 | Block chain-based auxiliary electric power emergency material digital purchasing method and device |
| CN114997700A (en)* | 2022-06-22 | 2022-09-02 | 中关村科学城城市大脑股份有限公司 | Epidemic prevention material allocation system and method based on urban brain |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060287783A1 (en)* | 1998-01-15 | 2006-12-21 | Kline & Walker Llc | Automated accounting system that values, controls, records and bills the uses of equipment/vehicles for society |
| CN103268538A (en)* | 2013-03-26 | 2013-08-28 | 大连海洋大学 | Alternative Method for Multi-objective Constrained Materials Oriented to Production Plan Change |
| CN105303285A (en)* | 2014-09-04 | 2016-02-03 | 国网山东省电力公司应急管理中心 | Intelligent allocation method for power emergency disposal materials |
| CN105701617A (en)* | 2016-01-14 | 2016-06-22 | 国网山东省电力公司物资公司 | Overall process information management and control visualization method based on electric power material supply chain and system thereof |
| CN106529782A (en)* | 2016-11-02 | 2017-03-22 | 贵州电网有限责任公司贵阳供电局 | Electric power emergency goods and materials comprehensive guarantee analysis and management platform and calculation method |
| CN108734388A (en)* | 2018-04-27 | 2018-11-02 | 深圳供电局有限公司 | Electric power material allotment system |
| CN111160634A (en)* | 2019-12-19 | 2020-05-15 | 上海欣方智能系统有限公司 | System and method for predicting, financing and transporting emergency material demands |
| CN111882391A (en)* | 2020-07-25 | 2020-11-03 | 广州城市职业学院 | BIM intelligent system of auxiliary bid procurement system |
- 2021
- 2021-02-24CNCN202110206032.7Apatent/CN112926854B/enactiveActive
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060287783A1 (en)* | 1998-01-15 | 2006-12-21 | Kline & Walker Llc | Automated accounting system that values, controls, records and bills the uses of equipment/vehicles for society |
| CN103268538A (en)* | 2013-03-26 | 2013-08-28 | 大连海洋大学 | Alternative Method for Multi-objective Constrained Materials Oriented to Production Plan Change |
| CN105303285A (en)* | 2014-09-04 | 2016-02-03 | 国网山东省电力公司应急管理中心 | Intelligent allocation method for power emergency disposal materials |
| CN105701617A (en)* | 2016-01-14 | 2016-06-22 | 国网山东省电力公司物资公司 | Overall process information management and control visualization method based on electric power material supply chain and system thereof |
| CN106529782A (en)* | 2016-11-02 | 2017-03-22 | 贵州电网有限责任公司贵阳供电局 | Electric power emergency goods and materials comprehensive guarantee analysis and management platform and calculation method |
| CN108734388A (en)* | 2018-04-27 | 2018-11-02 | 深圳供电局有限公司 | Electric power material allotment system |
| CN111160634A (en)* | 2019-12-19 | 2020-05-15 | 上海欣方智能系统有限公司 | System and method for predicting, financing and transporting emergency material demands |
| CN111882391A (en)* | 2020-07-25 | 2020-11-03 | 广州城市职业学院 | BIM intelligent system of auxiliary bid procurement system |
Non-Patent Citations (3)
| Title |
|---|
| LIU WEI-HUA 等: "An emergency order allocation model based on multi-provider in two-echelon logistics service supply chain", 《SUPPLY CHAIN MANAGEMENT》, pages 391 - 400* |
| 陈珏伊: ""基于供应链的电力物资物流配送系统的构建——以贵阳供电局为例"", 《中国优秀硕士学位论文全文数据库 经济与管理科学辑》* |
| 陈珏伊: ""基于供应链的电力物资物流配送系统的构建——以贵阳供电局为例"", 《中国优秀硕士学位论文全文数据库 经济与管理科学辑》, no. 1, 15 December 2011 (2011-12-15), pages 3* |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114154745A (en)* | 2021-12-13 | 2022-03-08 | 南方电网深圳数字电网研究院有限公司 | Intelligent material allocation method and device |
| CN114154745B (en)* | 2021-12-13 | 2024-08-20 | 南方电网数字平台科技(广东)有限公司 | Intelligent material allocation method and device |
| CN114418666A (en)* | 2021-12-23 | 2022-04-29 | 湖南天河国云科技有限公司 | Block chain-based auxiliary electric power emergency material digital purchasing method and device |
| CN114997700A (en)* | 2022-06-22 | 2022-09-02 | 中关村科学城城市大脑股份有限公司 | Epidemic prevention material allocation system and method based on urban brain |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112926854B (en) | 2024-03-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112926854A (en) | Distribution network emergency material demand reporting method based on data intelligent perception | |
| CN1324420C (en) | Data sharing in process plant | |
| CN110059834A (en) | Electric power O&M method, system and terminal device | |
| Feng et al. | Solution sensitivity-based scenario reduction for stochastic unit commitment | |
| US7708196B2 (en) | Modular web-based ASP application for multiple products | |
| CN113872813B (en) | Full life cycle management method and system for carrier communication equipment | |
| WO1999045450A2 (en) | Remotely accessible manufacturing and inventory control system | |
| WO2021152894A1 (en) | Decision-making assistance system, decision-making assistance method | |
| JP2004021364A (en) | Management decision support system | |
| CN105117819A (en) | Power grid enterprise management and training system | |
| CN111598470B (en) | Distribution network material market price acquisition, monitoring and early warning method and system | |
| CN118013952A (en) | Electricity price report generation method and device based on template customization | |
| JP2003288476A (en) | A production line integrated line capability evaluation / management operation system and its integrated line capability evaluation / management / operation method | |
| CN105894251A (en) | Terminal and corresponding commercial concrete producing and shaping cooperative system | |
| CN118674533A (en) | Block chain-based online leasing intelligent supervision system and method | |
| CN117436625A (en) | Production schedule management method, system, equipment and medium | |
| CN114943450B (en) | Automatic purchasing project qualification screening method and system | |
| CN116750599A (en) | Elevator maintenance information management system, method, equipment and storage medium | |
| CN115063046A (en) | Data intelligence cockpit system for power grid material suppliers based on big data analysis | |
| CN109767048A (en) | Asset grouping method and resource processing method | |
| CN112529456A (en) | Supplier evaluation system, supplier evaluation method, background equipment and storage medium | |
| CA2926745A1 (en) | Automated computer controlled system for measuring the consumption of printer resources and transacting environmental offsets | |
| CN110097247A (en) | A kind of cost data gathering system based on Internet technology | |
| CN107358364A (en) | The method and device of aluminium liquid proportioning | |
| Sillars | Development of decision model for selection of appropriate timely delivery techniques for highway projects |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |