CN114153897A - Electricity-consumption structured address cascade search method, system, device and storage medium - Google Patents
Electricity-consumption structured address cascade search method, system, device and storage medium Download PDFInfo
- Publication number
- CN114153897A CN114153897A CN202111407450.9A CN202111407450A CN114153897A CN 114153897 A CN114153897 A CN 114153897A CN 202111407450 A CN202111407450 A CN 202111407450A CN 114153897 A CN114153897 A CN 114153897A
- Authority
- CN
- China
- Prior art keywords
- address
- user
- structured
- grid
- determining
- 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
Links
- 238000000034 method Methods 0.000 title claims abstract description 45
- 230000005611 electricity Effects 0.000 claims abstract description 71
- 230000011218 segmentation Effects 0.000 claims description 22
- 238000004422 calculation algorithm Methods 0.000 claims description 13
- 238000012545 processing Methods 0.000 claims description 6
- 238000009877 rendering Methods 0.000 claims description 4
- 238000012423 maintenance Methods 0.000 description 6
- 238000004891 communication Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000004590 computer program Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000009434 installation Methods 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 238000013507 mapping Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 238000003062 neural network model Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 230000007723 transport mechanism Effects 0.000 description 1
- 238000012800 visualization Methods 0.000 description 1
Images
Classifications
-
- 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
-
- 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Fuzzy Systems (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Human Resources & Organizations (AREA)
- General Business, Economics & Management (AREA)
- Water Supply & Treatment (AREA)
- Public Health (AREA)
- Marketing (AREA)
- Mathematical Physics (AREA)
- Probability & Statistics with Applications (AREA)
- Software Systems (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a power consumption structured address cascade search method, a system, a device and a storage medium, wherein the method comprises the steps of obtaining a power consumption spatialization address of a user; determining a structured address of the power utilization of the user according to the spatialization address of the power utilization of the user; according to the user electricity utilization structured address, transformer identification information is obtained through searching of first relation data, and the first relation data are 'power user-address-transformer-grid' multilevel association relation data; and determining grid data according to the transformer identification information, and sending the grid data to a user, or dispatching a power work order according to the grid data. The invention can obtain the transformer identification information and the grid data through multi-level cascade search query based on the user electricity utilization structured address, thereby more efficiently and intelligently providing service for power users. The invention can be widely applied to the technical field of cascade search.
Description
Technical Field
The invention belongs to the technical field of cascade search, and particularly relates to a power consumption structured address cascade search method, a system, a device and a storage medium.
Background
In real business in the electric power field, different people have different requirements for spatial positions, such as: when a common power customer reports a power consumption or an obstacle, the common power customer needs to know how to contact with a power department or a worker in a sub-management area; when a customer service staff sends a work order to a worker, the worker needs to make clear to whom the work order is to be sent; engineering constructors or equipment installers need to know how to reach a work site, and meanwhile need to know where the accurate address of a service customer is, where a meter of the customer should be installed, and the like, namely different users need different information.
However, as many streets and communities are re-planned and built, the historical reasons cause that a large amount of errors, disordered names, incomplete information and the like exist in the existing customer electricity utilization address data, for example, the table number is used as an address, a district, a building and the like without standard names; meanwhile, because the stored customer electricity address data is not structured data, the problem that the filling rules of the customer addresses in different communities are inconsistent, and even the filling rules of the addresses in different buildings in different development periods of the same community are inconsistent exists; these problems seriously affect the quality of customer service work and emergency maintenance work, and also have a serious impact on the construction of various analysis and decision support systems developed based on address data.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides a method, a system, a device and a storage medium for cascade searching of an electricity-using structured address.
The technical scheme adopted by the invention is as follows:
in one aspect, an embodiment of the present application includes a method for cascade search of an electrical structured address, including:
acquiring a power utilization spatialization address of a user;
determining a structured address of the user electricity consumption according to the spatialization address of the user electricity consumption;
according to the user electricity utilization structured address, transformer identification information is obtained through first relation data searching, and the first relation data are 'power user-address-transformer-grid' multilevel association relation data;
determining grid data according to the transformer identification information, wherein the grid data comprises area grid numbers, area grid types, area grid responsible persons, contact ways of the area grid responsible persons and area grid geometric geographic information;
and sending the grid data to a user, or sending a power work order according to the grid data.
Further, the step of determining the structured address of the electricity consumption of the user according to the spatialization address of the electricity consumption of the user comprises:
constructing a standard place name address library, wherein the standard place name address library comprises address identification, an address full name, an address short name, an address alias, provinces, cities, counties, towns, streets, living committees, villages, natural villages, team villages, street lanes, house numbers, districts, buildings, units, longitude coordinates and latitude coordinates;
performing word segmentation processing on the electricity consumption spatialization address of the user through a Chinese word segmentation algorithm to obtain word segmentation phrases;
matching the word-segmentation word group with the standard place name address library;
and determining the electricity utilization structured address of the user according to the matching result.
Further, the step of determining the user electricity utilization structured address according to the matching result comprises:
calculating the matching similarity of the word-dividing word group and words in the standard place name address library, and determining a target word group from the standard place name address library according to the matching similarity;
obtaining standard address information according to the target phrase;
and determining the electricity utilization structured address of the user according to the standard address information.
Further, the calculating the matching similarity between the word-segmentation phrase and the words in the standard place name address library includes:
determining a first word embedding vector according to words in the word segmentation word group, and determining a second word embedding vector according to words in the standard place name address base;
and calculating matching similarity through a cosine similarity algorithm according to the first word embedding vector and the second word embedding vector.
Further, the step of determining the structured address of the electricity consumption of the user according to the spatialization address of the electricity consumption of the user comprises:
resolving the user electricity spatialization address into a structured part and an unstructured part;
searching through the first relation data according to the structural part to obtain target transformer identification information;
acquiring a power supply range of the transformer corresponding to the target transformer identification information;
determining target address information with the highest similarity to the unstructured part in the power supply range;
and determining the electricity utilization structured address of the user according to the target address information.
Further, the step of determining the grid data according to the transformer identification information includes:
searching to obtain a corresponding area grid number according to the transformer identification information and the first relation data;
and searching to obtain corresponding grid data according to the area grid number.
Further, after the grid data is obtained through the first relation data search according to the user electricity utilization structured address, the method further includes:
and rendering and visualizing the grids according to the geometric geographic information of the grids.
On the other hand, the embodiment of the present application further includes an electricity-using structured address cascade search system, including:
the first acquisition module is used for acquiring a power utilization spatialization address of a user;
the second acquisition module is used for determining the user electricity utilization structured address according to the user electricity utilization spatialization address;
the first searching module is used for searching and obtaining transformer identification information through first relation data according to the user electricity utilization structured address, wherein the first relation data are 'power user-address-transformer-grid' multi-level association relation data;
the second searching module is used for determining grid data according to the transformer identification information, wherein the grid data comprises area grid numbers, area grid types, area grid responsible persons, contact ways of the area grid responsible persons and area grid geometric geographic information;
and the sending module is used for sending the grid data to a user or sending a power work order according to the grid data.
On the other hand, the embodiment of the present application further includes an electric structured address cascade search apparatus, including:
at least one processor;
at least one memory for storing at least one program;
when the at least one program is executed by the at least one processor, the at least one processor is caused to implement the electricity-using structured address cascade searching method.
On the other hand, the embodiment of the present application further includes a computer readable storage medium, on which a program executable by a processor is stored, and the program executable by the processor is used for implementing the electricity-using structured address cascade searching method when being executed by the processor.
The invention has the beneficial effects that:
the invention provides a power consumption structured address cascade search method, which determines a power consumption structured address of a user according to the power consumption spatialization address of the user; then, according to the power utilization structured address of the user, transformer identification information and grid data are obtained through searching through the multi-level incidence relation data of 'power user-address-transformer-grid', and therefore the grid data are sent to the user or a power generation work order is dispatched according to the grid data; the method can obtain the transformer identification information and the grid data through multi-level cascading search query based on the user electricity utilization structured address, so that services can be provided for power users more efficiently and intelligently.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a schematic diagram of an implementation environment of a method for cascade searching of an electrical structured address according to an embodiment of the present application;
FIG. 2 is a flowchart illustrating steps of a method for cascade searching of electrically structured addresses according to an embodiment of the present disclosure;
FIG. 3 is a flowchart illustrating steps of one embodiment of step S200 according to the present application;
FIG. 4 is a flowchart illustrating steps of one embodiment of step S400 according to the present application;
fig. 5 is a schematic structural diagram of an electrical structured address cascade search apparatus according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In the description of the present invention, it should be understood that the orientation or positional relationship referred to in the description of the orientation, such as the upper, lower, front, rear, left, right, etc., is based on the orientation or positional relationship shown in the drawings, and is only for convenience of description and simplification of description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention.
In the description of the present invention, the meaning of a plurality of means is one or more, the meaning of a plurality of means is two or more, and larger, smaller, larger, etc. are understood as excluding the number, and larger, smaller, inner, etc. are understood as including the number. If the first and second are described for the purpose of distinguishing technical features, they are not to be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of the technical features indicated.
In the description of the present invention, unless otherwise explicitly limited, terms such as arrangement, installation, connection and the like should be understood in a broad sense, and those skilled in the art can reasonably determine the specific meanings of the above terms in the present invention in combination with the specific contents of the technical solutions.
The embodiments of the present application will be further explained with reference to the drawings.
Referring to fig. 1, fig. 1 is a schematic diagram of an implementation environment of an electrical structured address cascade search method according to an embodiment of the present application. In fig. 1, the implementation environment mainly includes a terminal device 101, a server 102, and a power consumption structured address cascade search apparatus 103, where the terminal device 101 is connected to the server 102 in a communication manner. The electricity-consumption structured address cascade search apparatus 103 may be disposed in the terminal device 101, or may be disposed in the server 102, and may be appropriately selected according to an actual application situation, which is not specifically limited in this embodiment, and fig. 1 illustrates an example in which the electricity-consumption structured address cascade search apparatus 103 is disposed in the terminal device 101. The method in the embodiment of the present application may be applied to the electrical structured address cascade searching apparatus 103, and specifically may be implemented by being stored in a memory of the electrical structured address cascade searching apparatus 103 in the form of program code and executed by an associated processor.
In the embodiment of the present application, the terminal device 101 may include, but is not limited to, a mobile phone, a computer, an intelligent wearable device, a pda (personal Digital assistant) device, and the like. When the electricity-using structured address cascade search device 103 is disposed in the terminal device 101, the terminal device 101 may locally execute the method in the present application, for example, the terminal device 101 provides a user with an electricity-using structured address cascade search function, and may implement service consultation or service transaction based on the electricity-using structured address cascade search device 103; or, when the electricity-consumption structured address cascade search apparatus 103 is arranged in the server 102, the terminal device 101 may send a corresponding operation instruction to the server 102 according to the interactive operation of the user, so that the server 102 executes the method in the present application based on the electricity-consumption structured address cascade search apparatus 103, and transmits corresponding data to the terminal device 101, thereby implementing service consultation or service transaction.
Certainly, in some embodiments, the terminal device 101 may also be a device used by the power department to dispatch a work order, and when receiving a service request related to a user, the terminal device determines an area grid where the user is located in the power grid by obtaining a power consumption spatialization address of the user, and dispatches the work order to a related worker by combining corresponding grid data, so as to implement efficient distribution of power services, and more efficiently and intelligently serve the user.
In some embodiments, the server 102 may be an independent physical server, may also be a server cluster or a distributed system formed by a plurality of physical servers, and may also be a cloud server providing basic cloud computing services such as a cloud service, a cloud database, cloud computing, a cloud function, cloud storage, a Network service, cloud communication, a middleware service, a domain name service, a security service, a CDN (Content Delivery Network), a big data and artificial intelligence platform, and the like.
It should be noted that, of course, the method may also be executed in other types of terminal devices or servers, and the implementation principle thereof is similar to the foregoing case, and is not described in detail herein. It is to be understood that the above implementation scenarios are only used for exemplary description of the implementation of the method in the present application, and are not meant to be specific. The method is described and illustrated in detail below, primarily by way of example, as it is performed in the above-described implementation environment.
Referring to fig. 2, an embodiment of the present application provides an electrically structured address cascade search method, including but not limited to the following steps:
s100, acquiring a power utilization spatialization address of a user;
s200, determining a structured address of the power utilization of the user according to the spatialization address of the power utilization of the user;
s300, according to the user electricity utilization structured address, transformer identification information is obtained through first relation data searching, and the first relation data are 'power user-address-transformer-grid' multilevel association relation data;
s400, determining grid data according to the transformer identification information, wherein the grid data comprise area grid numbers, area grid types, area grid responsible persons, contact ways of the area grid responsible persons and area grid geometric and geographic information;
s500, the grid data are sent to a user, or a power work order is sent according to the grid data.
In this embodiment, for example, when a user is in power utilization reporting or failure reporting, and needs to know how to contact a power department or a worker in a branch management area, the address information where the installation requirement is located may be input through the terminal device, that is, the user is a power utilization spatialization address. The terminal equipment can obtain a user electricity utilization structured address according to a user electricity utilization spatialization address input by a user, and then a search engine can inquire transformer identification information for being responsible for the power transformation and power supply requirements of the position of the user through multi-level cascade search according to the power user-address-transformer-grid multi-level incidence relation data and data indexes, wherein the transformer identification information is used for indicating the unique number of the transformer. Generally, in the power supply network, each transformer has a corresponding power supply radius, so the power supply network can be divided into a plurality of grids according to the power supply range for which the transformer is responsible, and the grids can correspondingly comprise various types of data, such as area grid number, area grid type, area grid person in charge contact and area grid geometric geographic information. Wherein, the region grid number is used for distinguishing different grids; the area grid type can be used for representing the power user category in the area, such as a civil power type, an industrial power type and the like; the area grid responsible person can be a person who manages maintenance work of the power equipment in the grid area, and the electricity utilization user can contact with the corresponding worker through the contact way of the area grid responsible person so as to realize fault reporting, appointment for home maintenance and the like; the area grid geometric geographic information is used for displaying the geographic position of the area in the actual space.
In the embodiment of the application, the user electricity utilization structured address, that is, the user position which is accurately located, can be obtained through step S200, at this time, the search engine can search and query the transformer corresponding to the address according to the power user-address-transformer-grid multi-level association relation data and the data index, and thus the transformer identification information can be obtained.
In the embodiment of the application, after the grid data is determined by cascading according to the transformer identification information, the grid data can be sent to a user for the user to contact with power personnel in the area, so that the rapid emergency overhaul is facilitated, the service quality is improved, and the problems that the user reports a fault difficultly and inquires information of operating personnel are difficult can be solved.
As previously mentioned, in some embodiments, the present application may also be implemented in a facility used by the power department to dispatch work orders. At the moment, when the power utilization fault reporting information of the power consumer is received, the fault position and the corresponding fault maintenance personnel in the grid area where the position is located can be obtained through multi-level cascade search and quick query based on the power utilization structured address of the power consumer, and therefore the corresponding maintenance personnel can be dispatched to the site for maintenance. Referring to fig. 3, in this embodiment, the step S200 of determining the structured address of the power consumption of the user according to the spatialization address of the power consumption of the user includes:
s201, constructing a standard place name address library, wherein the standard place name address library comprises address identification, an address full name, an address short name, an address alias, provinces, cities, counties, towns, streets, living committees, villages, natural villages, team villages, street lanes, house numbers, districts, buildings, units, longitude coordinates and latitude coordinates;
s202, performing word segmentation processing on the electricity consumption spatialization address of the user through a Chinese word segmentation algorithm to obtain word segmentation phrases;
s203, matching the word segmentation word group with a standard place name address library;
and S204, determining the power utilization structured address of the user according to the matching result.
In this embodiment, as shown in table 1, the standard place name address library constructed in step S201 includes address identifiers, full address names, short addresses, alias addresses, provinces, cities, prefectures, towns, streets, living parties, villages, natural villages, team villages, street lanes, house numbers, cells, buildings, units, longitude coordinates, latitude coordinates, and the like.
TABLE 1 Standard Place name Address library
Regarding step S202, in this embodiment, after the spatialization address for the user electricity consumption is obtained, chinese word segmentation may be performed on the spatialization address for the user electricity consumption according to a chinese word segmentation algorithm, for example: the Guangdong province Zhaoqing city end Zhou district and the level road 4 lane emperor and Haoting 1, automatically divided into: guangdong province | Zhaoqing city | end state area | and level road 4 lane | di and haungting | 1. There are many word segmentation algorithms that can be used here, for example, in some embodiments, a word segmentation algorithm based on a dictionary can be used, a sentence is segmented into words according to the dictionary, and then the best combination mode of the words is found; in some embodiments, a word segmentation algorithm based on words may also be adopted, in which a sentence is first divided into words, and then the words are combined into words, so as to find an optimal combination mode. After the sentence is subjected to word segmentation, a word embedding vector corresponding to each word in the phrase can be determined through a pre-established dictionary, of course, in some embodiments, the word embedding vector can be obtained by mapping the word into a vector space with a uniform lower dimension, and the strategy for generating the mapping includes a neural network, a dimension reduction of a word co-occurrence matrix, a probability model, an interpretable knowledge base method and the like.
In step S203, in this embodiment, after performing word segmentation processing, text similarity matching is performed on the word-segmented word group and the address in the standard place name address base constructed in step S201.
Specifically, the step S204, that is, the step of determining the user electricity utilization structured address according to the matching result, includes:
s204-1, calculating the matching similarity of the word-segmentation word group and words in the standard place name address library, and determining a target word group from the standard place name address library according to the matching similarity;
s204-2, obtaining standard address information according to the target phrase;
and S204-3, determining the electricity utilization structured address of the user according to the standard address information.
In this embodiment, when determining the electricity-consumption structured address of the user, the matching similarity between the words in the word-segmentation word group and the words in the standard place name address library may be calculated. For each word in the word-segmentation phrase, the word with the highest similarity in the standard place name address library can be determined as a target word, and the target phrase can be obtained after the target word corresponding to each word is determined. And combining the target phrases to obtain the standard address information. Furthermore, the user electricity utilization structured address can be obtained according to the standard address information. Here, the user electricity utilization structured address may be information in a fixed format, for example, information defined by an official institution such as a civil administration department and having a uniform and common name, or may be number data set by a power department, for example, accurate longitude and latitude data, and is not limited herein. In the embodiment, after the electricity utilization structured address of the user is obtained, a longitude and latitude coordinate positioning interface can be further called for positioning, and dotting display is carried out on a high-precision map. In the embodiment of the present application, when the matching similarity between a word in a segmented word group and a word in a standard place name address library is calculated, each word may be mapped to a word embedding vector through a neural network model, for example, a first word embedding vector is determined according to a word in the segmented word group, a second word embedding vector is determined according to a word in the standard place name address library, and then the matching similarity between the first word embedding vector and the second word embedding vector may be based on an algorithm such as a cosine similarity calculation method, a pearson correlation coefficient method, or an jaccard similarity coefficient method.
In this embodiment, when step S200 is executed, that is, the step of determining the structured address of the electricity consumption of the user according to the spatialization address of the electricity consumption of the user, the following steps may be further executed:
S201A, resolving a power utilization spatialization address of a user into a structured part and an unstructured part;
S202A, searching through first relation data according to the structured part to obtain target transformer identification information;
S203A, acquiring a power supply range of a transformer corresponding to the identification information of the target transformer;
S204A, determining target address information with highest similarity to the unstructured part in a power supply range;
and S205A, determining the electricity utilization structured address of the user according to the target address information.
In the embodiment of the present application, there may be a case where the name changes due to time change in the address information filled by the user, for example, the cell address filled by the client may not be consistent with the name defined by the structure, and there is an entrance or exit. Therefore, when the user electricity utilization structured address is determined according to the user electricity utilization spatialization address in the embodiment of the application, the structured part of the user electricity utilization spatialization address can be extracted first, a coarse address range is determined, and then the structured address corresponding to the data of the unstructured part is further matched and determined in the range, so that the accurate user electricity utilization structured address is obtained. Specifically, for example, for a user electricity utilization spatialization address such as "Guangdong province, Zhaoqing city end state area and Rou 4 lane emperor and Haoting No. 1 building", the parts of "Guangdong province", "Zhaoqing city", "end state area", "Heu" and the like may belong to province, city, district, community or road name, are specified by official institutions such as civil administration departments and the like, have unified and common names, belong to a structured part of the user electricity utilization spatialization address, under the condition that a wrong or wrong character is not input, the user cannot input the structured part of the user electricity utilization spatialization address into other contents, and under the condition that the wrong or wrong character is input, the correction can be carried out through algorithms such as homophone and the like; however, the parts such as "4 lanes", "emperor and haunchet", "building No. 1" and the like belong to the self-defined name, self-organized building number or oral habit name of a commodity building, and may have different names, for example, "4 lanes" may also be called "fourth lane", "emperor and haunchet" may also be called "emperor and district" and "building No. 1" may also be called "1" and the like, and belong to the unstructured part of the user electricity utilization spatialization address, so that the user electricity utilization spatialization address can be analyzed into the structured part and the unstructured part through word segmentation matching.
Further, according to the structured parts of the electricity utilization spatialization address of the user, such as "Guangdong province", "Zhaoqing city", "end state district", "Heyu", and the like, a plurality of target transformer identification information can be searched and obtained through the first relation data in the form of "power consumer-address-transformer-grid", and the searched target transformer identification information is actually information of transformers supplying electricity to a large-scale area, namely "Guangdong Zhaoqing city end state district and Heyu". According to the target transformer identification information, the power supply range of the transformer corresponding to the target transformer identification information may be obtained, for example, the power supply range of the transformer corresponding to the target transformer identification information obtained in this embodiment may be an area of "sum and level road" at the end of the city of the zhuoqing, guangdong province, and a peripheral area of "sum and level road" or the like.
For the unstructured portion such as "No. 4 gods and haoting No. 1 building" in step S204A, similarity matching search may be performed thereon within the above-determined power supply range. When searching, matching can be performed based on the standard geographical name address library established as described above, then one or more possibly similar addresses are searched out, and the address with the highest similarity with the unstructured part is taken as the target address, so as to determine the target address information. Since the power supply ranges of the transformers are searched in the power supply ranges of the transformers corresponding to the identification information of the target transformer, the power supply ranges of the transformers can cover the region of 'the state area and the level road of the Tokyo city of Guangdong province' and possibly the surrounding regions, the searching can be carried out in a wide range, and the probability of address matching is improved.
In step S205A, after the target address information corresponding to the unstructured portion is determined, the structured address obtained in the foregoing is combined according to the target address information, so that the complete user electricity consumption structured address can be determined.
By executing steps S201A-S205A, the target transformer identification information can be definitely determined according to the structured portion in the power utilization spatialization address of the user, then according to the power supply range of the transformer corresponding to the target transformer identification information, the similar address search is carried out in a wider range than the structured portion in the power utilization spatialization address of the user, and the searched most similar address is combined with the structured portion in the power utilization spatialization address of the user to obtain the definite power utilization structured address of the user. Because the search range is wider than the structured part in the power consumption spatialization address of the user, the conditions of selection error or understanding error and the like when the user inputs the power consumption spatialization address of the user and the conditions of first relation data error and the like can be tolerated to a certain extent, and the method is better suitable for complex application environments. By executing the steps S201A-S205A, that is, by determining the user electricity structured address according to the power supply range of the transformer corresponding to the user electricity spatial address, unreliability of the word segmentation algorithm can be avoided, and deviation caused by using the word segmentation algorithm to determine the user electricity structured address can be avoided.
Referring to fig. 4, in the present embodiment, step S400, that is, the step of determining the mesh data according to the transformer identification information, includes:
s401, searching to obtain a corresponding area grid number according to the transformer identification information and the first relation data;
s402, searching and obtaining corresponding grid data according to the area grid numbers.
In this embodiment, similarly, since the user electricity utilization structured address is obtained through step S200, that is, the user position is located accurately, at this time, the search engine may first determine the transformer identification information through the association relationship between two levels according to the "power user-address-transformer-grid" multi-level association relationship data and the data index, and then obtain the corresponding area grid number through cross-level search. And then, through a detail interface of a search engine, according to the area grid number, the grid data can be inquired and obtained.
In some embodiments of the present application, the following operations may also be included:
and S600, rendering and visualizing the grids according to the geometric geographic information of the grids.
In this embodiment, the application program can perform information display according to the interface return, and perform grid rendering and visualization processing according to the geometric and geographic information, so as to help the staff to reach the fault point specified by the user more quickly, and improve the efficiency of the power operation.
The power utilization structured address cascade search method provided by the embodiment of the application has the following technical effects:
according to the power utilization spatialization address of the user, the power utilization structuralized address of the user is determined; then, according to the power utilization structured address of the user, transformer identification information and grid data are obtained through searching through the multi-level incidence relation data of 'power user-address-transformer-grid'; the transformer identification information and the grid data can be obtained through multi-level cascading search query based on the user electricity utilization structured address, and therefore services can be provided for power users more efficiently and intelligently.
On the other hand, an embodiment of the present application further provides an electricity-using structured address cascade search system, including:
the first acquisition module is used for acquiring a power utilization spatialization address of a user;
the second acquisition module is used for determining the user electricity utilization structured address according to the user electricity utilization spatialization address;
the first searching module is used for searching and obtaining transformer identification information through first relation data according to the user electricity utilization structured address, wherein the first relation data are 'power user-address-transformer-grid' multi-level association relation data;
the second searching module is used for determining grid data according to the transformer identification information, wherein the grid data comprises area grid numbers, area grid types, area grid responsible persons, contact ways of the area grid responsible persons and area grid geometric geographic information;
and the sending module is used for sending the grid data to a user or sending a power work order according to the grid data.
The contents in the method embodiment shown in fig. 2 are all applicable to the embodiment of the present system, the functions implemented in the embodiment of the present system are the same as the method embodiment shown in fig. 2, and the beneficial effects achieved by the embodiment of the present system are also the same as the beneficial effects achieved by the method embodiment shown in fig. 2.
Referring to fig. 5, an embodiment of the present application further provides an electric structured address cascade search apparatus 200, which specifically includes:
at least one processor 210;
at least one memory 220 for storing at least one program;
when the at least one program is executed by the at least one processor 210, the at least one processor 210 is caused to implement the method as shown in fig. 2.
The memory 220, which is a non-transitory computer-readable storage medium, may be used to store non-transitory software programs and non-transitory computer-executable programs. The memory 220 may include high speed random access memory and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 220 may optionally include remote memory located remotely from processor 210, and such remote memory may be connected to processor 210 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
It will be understood that the device structure shown in fig. 5 is not intended to be limiting of device 200, and may include more or fewer components than shown, or some components may be combined, or a different arrangement of components.
In the apparatus 200 shown in fig. 5, the processor 210 may retrieve the program stored in the memory 220 and execute, but is not limited to, the steps of the embodiment shown in fig. 2.
The above-described embodiments of the apparatus 200 are merely illustrative, and the units illustrated as separate components may or may not be physically separate, may be located in one place, or may be distributed over a plurality of network units. Some or all of the modules can be selected according to actual needs to achieve the purposes of the embodiments.
Embodiments of the present application also provide a computer-readable storage medium storing a program executable by a processor, where the program executable by the processor is used to implement the method shown in fig. 2 when being executed by the processor.
The embodiment of the application also discloses a computer program product or a computer program, which comprises computer instructions, and the computer instructions are stored in a computer readable storage medium. The computer instructions may be read by a processor of a computer device from a computer-readable storage medium, and the processor executes the computer instructions to cause the computer device to perform the method as shown in fig. 2.
It will be understood that all or some of the steps, systems of methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
The embodiments of the present invention have been described in detail with reference to the drawings, but the present invention is not limited to the embodiments, and various changes can be made without departing from the spirit of the present invention within the knowledge of those skilled in the art.
Claims (10)
1. An electricity-using structured address cascade searching method is characterized by comprising the following steps:
acquiring a power utilization spatialization address of a user;
determining a structured address of the user electricity consumption according to the spatialization address of the user electricity consumption;
according to the user electricity utilization structured address, transformer identification information is obtained through first relation data searching, and the first relation data are 'power user-address-transformer-grid' multilevel association relation data;
determining grid data according to the transformer identification information, wherein the grid data comprises area grid numbers, area grid types, area grid responsible persons, contact ways of the area grid responsible persons and area grid geometric geographic information;
and sending the grid data to a user, or sending a power work order according to the grid data.
2. The power consumption structured address cascade searching method according to claim 1, wherein the step of determining the power consumption structured address of the user according to the power consumption spatialization address of the user comprises:
constructing a standard place name address library, wherein the standard place name address library comprises address identification, an address full name, an address short name, an address alias, provinces, cities, counties, towns, streets, living committees, villages, natural villages, team villages, street lanes, house numbers, districts, buildings, units, longitude coordinates and latitude coordinates;
performing word segmentation processing on the electricity consumption spatialization address of the user through a Chinese word segmentation algorithm to obtain word segmentation phrases;
matching the word-segmentation word group with the standard place name address library;
and determining the electricity utilization structured address of the user according to the matching result.
3. The method for cascade searching of the electricity consumption structured address as claimed in claim 2, wherein the step of determining the electricity consumption structured address of the user according to the matching result comprises:
calculating the matching similarity of the word-dividing word group and words in the standard place name address library, and determining a target word group from the standard place name address library according to the matching similarity;
obtaining standard address information according to the target phrase;
and determining the electricity utilization structured address of the user according to the standard address information.
4. The method according to claim 3, wherein the calculating the matching similarity between the word-segmentation phrase and the words in the standard place name address base comprises:
determining a first word embedding vector according to words in the word segmentation word group, and determining a second word embedding vector according to words in the standard place name address base;
and calculating matching similarity through a cosine similarity algorithm according to the first word embedding vector and the second word embedding vector.
5. The power consumption structured address cascade searching method according to claim 1, wherein the step of determining the power consumption structured address of the user according to the power consumption spatialization address of the user comprises:
resolving the user electricity spatialization address into a structured part and an unstructured part;
searching through the first relation data according to the structural part to obtain target transformer identification information;
acquiring a power supply range of the transformer corresponding to the target transformer identification information;
determining target address information with the highest similarity to the unstructured part in the power supply range;
and determining the electricity utilization structured address of the user according to the target address information.
6. The power consumption structured address cascade searching method according to claim 1, wherein the step of determining the grid data according to the transformer identification information comprises:
searching to obtain a corresponding area grid number according to the transformer identification information and the first relation data;
and searching to obtain corresponding grid data according to the area grid number.
7. The method according to any one of claims 1-6, wherein the method further comprises:
and rendering and visualizing the grids according to the geometric geographic information of the grids.
8. An electrically structured address cascade search system, comprising:
the first acquisition module is used for acquiring a power utilization spatialization address of a user;
the second acquisition module is used for determining the user electricity utilization structured address according to the user electricity utilization spatialization address;
the first searching module is used for searching and obtaining transformer identification information through first relation data according to the user electricity utilization structured address, wherein the first relation data are 'power user-address-transformer-grid' multi-level association relation data;
the second searching module is used for determining grid data according to the transformer identification information, wherein the grid data comprises area grid numbers, area grid types, area grid responsible persons, contact ways of the area grid responsible persons and area grid geometric geographic information;
and the sending module is used for sending the grid data to a user or sending a power work order according to the grid data.
9. An electrically-powered structured address cascade search apparatus, comprising:
at least one processor;
at least one memory for storing at least one program;
when executed by the at least one processor, cause the at least one processor to implement the method of any one of claims 1-7.
10. Computer-readable storage medium, on which a processor-executable program is stored, which, when being executed by a processor, is adapted to carry out the method according to any one of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111407450.9A CN114153897A (en) | 2021-11-24 | 2021-11-24 | Electricity-consumption structured address cascade search method, system, device and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111407450.9A CN114153897A (en) | 2021-11-24 | 2021-11-24 | Electricity-consumption structured address cascade search method, system, device and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114153897A true CN114153897A (en) | 2022-03-08 |
Family
ID=80457702
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111407450.9A Pending CN114153897A (en) | 2021-11-24 | 2021-11-24 | Electricity-consumption structured address cascade search method, system, device and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114153897A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116345699A (en) * | 2023-05-30 | 2023-06-27 | 国网湖北省电力有限公司 | Internet-based power transmission circuit information acquisition system and acquisition method |
-
2021
- 2021-11-24 CN CN202111407450.9A patent/CN114153897A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116345699A (en) * | 2023-05-30 | 2023-06-27 | 国网湖北省电力有限公司 | Internet-based power transmission circuit information acquisition system and acquisition method |
| CN116345699B (en) * | 2023-05-30 | 2023-08-08 | 国网湖北省电力有限公司 | Internet-based power transmission circuit information acquisition system and acquisition method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112398895B (en) | Method and device for providing service information | |
| CN106651247A (en) | Address area block matching method based on GIS topology analysis and address area block matching system thereof | |
| CN105205092A (en) | Tile-based distribution of searchable geospatial data to client devices | |
| CN108694244A (en) | A kind of electric network synthetic application platform based on three-dimensional data | |
| CN111159973B (en) | Administrative division alignment and standardization method for Chinese addresses | |
| CN105022769A (en) | Data interaction system of urban underground pipeline, and method thereof | |
| US11966424B2 (en) | Method and apparatus for dividing region, storage medium, and electronic device | |
| US20230049839A1 (en) | Question Answering Method for Query Information, and Related Apparatus | |
| Xiang et al. | Flood Markup Language–A standards-based exchange language for flood risk communication | |
| CN114153897A (en) | Electricity-consumption structured address cascade search method, system, device and storage medium | |
| Zhang et al. | Inferring building function: A novel geo-aware neural network supporting building-level function classification | |
| Dumedah | Address points of landmarks and paratransit services as a credible reference database for geocoding | |
| Chatterjee et al. | SAGEL: smart address geocoding engine for supply-chain logistics | |
| Dumedah et al. | The case of electoral polling station data for geocoding in facilitating accessibility to social, economic and cultural opportunities in Ghana | |
| Zhang et al. | Towards an interoperable online volunteered geographic information system for disaster response | |
| CN100365624C (en) | Method and system of public communication source guiding | |
| CN115574867A (en) | Mutual inductor fault detection method and device, electronic equipment and storage medium | |
| CN114282847A (en) | House full life cycle place name address system and construction method thereof | |
| CN114153928A (en) | Method, system, equipment and medium for constructing urban geographic semantic knowledge network | |
| CN113722580A (en) | Address information processing method and device, electronic equipment and computer readable medium | |
| CN113344645A (en) | House price prediction method and device and electronic equipment | |
| Ponjavic et al. | Spatial data integration in heterogeneous information systems’ environment | |
| CN202093512U (en) | Enterprise three dimensional digital map managing system | |
| Zhang et al. | Indoor positioning and navigation based on two‐dimensional code and database | |
| Florczyk et al. | Semantic selection of georeferencing services for urban management |
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 |