CN115797104A

CN115797104A - Multi-path informatization identification method for business expansion installation

Info

Publication number: CN115797104A
Application number: CN202211608947.1A
Authority: CN
Inventors: 纪书军; 刘哲; 郝世芳; 刘凯; 骆云娟
Original assignee: State Grid Corp of China SGCC; Marketing Service Center of State Grid Hebei Electric Power Co Ltd
Current assignee: State Grid Corp of China SGCC; Marketing Service Center of State Grid Hebei Electric Power Co Ltd
Priority date: 2022-12-14
Filing date: 2022-12-14
Publication date: 2023-03-14

Abstract

The invention provides a multi-path informatization identification method for business expansion. The method aims at the problems that system work order information flow and actual engineering operation implementation are asynchronous in the electric power industry expansion work, work data loss really causes obstruction points of the industry expansion work to be lost or wrong and/or other data information flow problems to carry out information platform technology development, a data source end platform, a database network and a data collaborative optimization three-in-one executable data information framework which are matched with each other are built, and the operation and maintenance efficiency and the power utilization experience improvement of a power grid and a power user in two dimensions and multi-direction are achieved. The invention can timely and accurately acquire the relevant data of the monitored object, and ensures that the work order circulation process of the business expansion system is synchronous with the actual business handling or engineering implementation and the operation data flow is real.

Description

Multi-path informatization identification method for business expansion installation

Technical Field

The invention relates to the technical field of electric power information, in particular to a multi-path informatization identification method for business expansion.

Background

At present, in the process of electric power business expansion and installation, the problem of extracorporeal circulation may exist, the work order circulation process of the business expansion and installation system is asynchronous with the actual business handling or engineering implementation, the business expansion and installation business handling and the business handling responsibilities are separated, and each flow link is recorded by the same person, so that the business handling time recorded by the system is distorted, and the obstruction point existing in the business handling process cannot be objectively reflected.

Projects such as electric power user new installation, increase-volume in the business expansion installation process relate to a plurality of horizontal professions such as electric power operation, fortune are examined, goods and materials, but the data between a plurality of professions can not fully fuse, rely on the manual work to carry out analysis to the data in the prior art more, and efficiency is lower. Secondly, whether extracorporeal circulation exists in the business expansion process is determined, most files are manually checked on site, and the time logicality of the business expansion process and the files is compared, so that the field checking mode is time-consuming and labor-consuming, and the efficiency is low. Finally, in the data information network modeling of the business expansion installation in the prior art, the information flow has one-way fluidity and single source, and particularly, the information and data flow of the monitored object flow to the monitoring main body, so that the authenticity of the data flow cannot be ensured, and valuable data cannot be accurately and effectively provided for monitoring in the business expansion installation process.

Therefore, a method for ensuring synchronization between the work order flow process of the business expansion system and the actual business handling or engineering implementation and trueness of the job data flow is needed.

Disclosure of Invention

The embodiment of the invention provides a multi-path informatization identification method for business expansion work, which aims to solve the problems that in the prior art, the system work order information flow of the business expansion work is asynchronous with the actual engineering work implementation, and the work data loss really causes the obstruction point loss or error of the business expansion work and/or other data information flows.

In a first aspect, the embodiment of the invention provides a multi-path informatization identification method for business expansion work, aiming at the problem that system work order information flow and actual engineering work are not synchronous in the electric power business expansion work, work data loss really causes the obstruction point loss or error of the business expansion work and/or other data information flow problems, the method carries out informatization platform technology development, and the method constructs a data source end platform, a database network and a data collaborative optimization three-in-one executable data information architecture which are matched with each other, so that the two-dimensional and multi-oriented operation and maintenance efficiency and the electricity consumption experience improvement of a power grid and power users are realized.

In a possible implementation manner, the data platform adopts an access type construction manner, and a compatibly accessed data source end is an existing electronic information system and/or data management and database system of a provincial power grid or other levels of power grids, and the system comprises: the system comprises an intelligent monitoring system of a power grid business hall and an electric power material commercial super electronic information system; non-centralized purchasing of an electronic Internet of things information system; a power grid video monitoring and identifying platform; 95598 business expansion work order information system; a grid satellite map auditing system; a power violation operation monitoring system; further comprising: a power grid SG186 system, a power grid OMS system and a power grid ERP system; the data source end performs system access and carrying construction in an alternative mode or any combination mode; any combination mode at least comprises: the provincial level electric power material business ultra-electronic information system; the system comprises a provincial power grid business hall intelligent monitoring system and a provincial non-centralized purchasing electronic internet of things information system; a provincial power grid video monitoring and identifying platform; the province-level 95598 business expansion work order information system.

In a possible implementation mode, source data are acquired and constructed on the basis of a data source end platform to obtain a raw database group, a database network and data collaborative optimization first establishes a basic database, namely an evo database, of an application end on the basis of the raw database group accessed by a system platform through data filtering and/or data calling, the database has a higher evolution grade relative to the raw database group, data connotation of the database correspondingly shows higher titer to an object unit, a subject unit and an operation flow of electric power industry expansion and installation operation after data filtering and data calling process processing, and double-dimensional and multi-oriented operation and maintenance efficiency and electricity utilization experience improvement of power grid enterprises and power users are realized through database-level logical relationship reconstruction and in-database data architecture and filling of the database network on the basis of the evo database and subsequent information processing path matching and data optimization paradigm matching.

In a possible implementation manner, a data screening tool is arranged at the front end of the evo database, the data screening tool sets a reverse data attribute matching rule based on the self characteristics of an object and/or a subject combination of the electric power industry expansion work, and data irrelevant or significantly irrelevant to the electric power industry expansion work is excluded from the evo database, so that the invalid capacity of the database is avoided, the waste of system storage and computing resources is reduced, and the data operation and data processing inefficiencies and invalidity are avoided.

In a possible implementation manner, a data probe tool set is arranged at the front end of the evo database, the data probe tool set is provided with a wide area data access port and a fully-closed data outflow port, elastic data tank is arranged between the wide area data access port and the fully-closed data outflow port, the elastic data tank adjusts the data capacity of the elastic data tank according to the data inflow amount of the wide area data access port and the data acquisition amount of a subsequent data probe and borrows storage capacity from a system or releases redundant capacity from the system in real time, adaptive adjustment of the elastic data capacity according to the requirement is realized, a data probe sequence combination constructed according to a forward data attribute matching rule is arranged in the data access port, all data probe sequences are globally exposed in the elastic data tank and continuously and dynamically wander, and any data which can be matched with any data probe sequence in the data probe sequence combination in the elastic data storage tank is transmitted into the evo database after being captured by the data probe.

In one possible implementation manner, a data screening tool and a data probe tool set are simultaneously arranged at the front end of the evo database, the data screening tool is arranged at the far end of the evo database, and the data probe tool set is arranged at the near end of the evo database; irrelevant data is excluded from a basic database through a reverse data attribute matching rule of the data screening tool, and valuable data and/or effective data are centrally called from relevant data tank through a forward data attribute matching rule of a data probe tool set and a data probe sequence of the forward data attribute matching rule, so that the subsequently constructed basic database has the advantage of source efficiency.

In one possible implementation, the source efficiency advantages include: refining the data capacity and improving the data titer of the basic layer body; the core layer can be compatible with secondary data extraction or optimization oriented to different data guidance and multiple progressive data processing, so that a data body and multi-dimensional, high-precision and high-fineness data of the represented electric power industry expansion operation process are obtained and displayed, and an efficient and accurate data implementation way is provided for multiple requirements of operation supervision.

In one possible implementation, the static data structure of the evo database is: the electric power industry expansion operation unitized assemblies are used as data gathering points, a row/column of expandable data capacity pools are distributed after serial numbers are input into each data gathering point, multi-dimensional attributes corresponding to any electric power industry expansion operation unitized assembly are filled into the expandable data capacity pools, and the multi-dimensional attributes of the electric power industry expansion operation unitized assemblies at least comprise space coordinate information and other information; wherein the spatial coordinate information originates in an alternative or collaborative mode from: the method comprises the steps that an electric power and material commodity business super electronic information system is saved in Hebei province, and/or an electronic internet of things information system is not intensively purchased in Hebei province; and/or a video monitoring and identifying platform of the power saving network in the north of the river; and/or 95598 business expansion work order information system of Hebei province; and/or a satellite map auditing system of the Hebei power saving network; filling the space coordinate information of the electric power industry expansion operation unitized assembly to a first position point of the expandable data capacity pool; and other information originates from provincial information systems loaded into the data source end platform, and self-contained information data corresponding to the electric power industry expansion operation unitized assemblies are sequentially filled behind the first data of the expandable data capacity pool.

In a possible implementation mode, further data collaborative optimization processing is carried out on the evo evolution database, dynamic data optimization normal form matching is carried out on the evo evolution database on the basis of information processing path matching of the same framework, firstly, undetermined functions with time t as a single independent variable are constructed, and static databases of the same framework aggregation point, which are generated by constructing the same power business expansion operation unitized assembly at different time points, are packaged into a group of dynamic function data variables; the packaged function variable data is discrete, and continuous fitting of the discrete data is carried out by taking the first spatial coordinate information of the convergent expandable data capacity pool as an anchor point to obtain a function to be determined with time t as a single independent variable; based on the unary characteristic of the dynamic attribute and the two-dimensional attribute of the anchor point data, adopting a plane vector field data fitting algorithm on a single curve to carry out function continuity processing, wherein the single curve is additionally limited to enable a plane vector field function to be shown in a parametric quantization table, and selecting t as parametric independent variable data, wherein the plane vector field corresponds to a data structure of the first spatial coordinate information of the convergence point expandable data capacity pool;

the data fitting algorithm is a simplest path algorithm, shortest path connection is carried out on different two-dimensional space coordinate information in the static databases corresponding to different time points t, the algorithm only depends on two known data points to fit continuous dynamic information in the two data points, the accuracy is low, but the system resource occupation is extremely low, dynamic table can be carried out in real time, and the algorithm has preferred applicability under the condition that the given first space coordinate information of the expandable data capacity pool is sufficiently dense; or under the condition that the density of the first spatial coordinate information of the given expandable data capacity pool is matched with the requirement of data accuracy, the method has preferable applicability;

the data fitting algorithm is selected from the following algorithms: legendre polynomial fitting algorithm; a classical least squares function fitting algorithm; a Betz curve fitting algorithm; the Legendre polynomial fitting algorithm is essentially equivalent to the classical least square function fitting algorithm, variables on dynamic data points of the positions are determined based on a plurality of given two-dimensional space coordinate information, different weights are distributed to the given data points according to the distances between the given data points and the data points to be determined, the sum of squares of errors is minimized, and high-precision function continuous fitting is achieved; for a Legendre polynomial fitting algorithm, a classical least square function fitting algorithm and a Betz curve fitting algorithm, the calculation power consumption of the system is obviously higher than that of a simplest path algorithm, but the classical fitting algorithms can be simplified according to the requirement of data output precision, and the method has excellent data compatibility and applicability to the construction of dynamic data configurations of an evo database.

In a possible implementation mode, a function level data architecture obtained through dynamic data optimization paradigm matching obtains corresponding valuable data information output by performing parameter input on the function level data architecture, and/or performs further secondary data processing based on business expansion operation supervision guidance on the output valuable data, so that multi-path and multi-target informatization supervision and identification of electric power business expansion installation are realized; the parameter input operation comprises time parameter input so as to intercept dynamic data of the dynamic function database and acquire dynamic space information of an object or a subject of the power industry expansion operation; because the dynamic data configuration of the evo database is continuously fitted, the input of the time parameter is not limited by the data reality input by a source end and the data capacity of a raw database group, and any breakpoint and any precision interception and comparison are allowed; the secondary data processing comprises the step of solving Euclidean inner products among different electric power business expansion operation object or subject units so as to obtain the spatial relationship among the units, and particularly, the dynamic spatial relationship is obtained through dynamic interception; the Euclidean inner product adopts a square sum mode or an absolute value mode; on the basis of the secondary data processing, the prediction analysis based on the space trend can be carried out, for example, data interception is carried out through parameter input to obtain data information of each object, the objects with position data approaching gradually are automatically grouped, the object information in the group is optimized while the data information is intercepted, all component information of the business expansion operation is solidified, the positioning of components of the power business expansion operation is realized, and a data basis and information realization path is additionally provided for preventive identification and early warning requirements of the power business expansion operation.

The embodiment of the invention provides a multi-path informatization identification method for business expansion installation, which constructs a new data information path by constructing a data source end platform, a database network and a data collaborative optimization three-in-one executable data information architecture which are matched with each other, so that the data information of the data source end platform is processed by the database network to form a data combination, the relevant data of an object to be monitored can be timely and accurately acquired, the acquired data information of the business expansion installation is consistent with the actual engineering operation, obstruction points in the business expansion installation process can be truly and accurately determined, the reality and the effectiveness of the data are favorably ensured, and the implementation process of the business expansion installation is conveniently improved in the follow-up process.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the embodiments or the prior art descriptions will be briefly described 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 that other drawings can be obtained according to the drawings without creative efforts.

Fig. 1 is a flowchart of a first implementation of a multi-path informatization identification method for business expansion products according to an embodiment of the present invention;

FIG. 2 is a flow chart of an implementation of building an evo database according to an embodiment of the present invention;

fig. 3 is a flowchart of a second implementation of a multi-path informatization identification method for business expansion products according to an embodiment of the present invention;

FIG. 4 is a schematic structural diagram of a multi-path informatization identification system for business expansion products according to an embodiment of the present invention;

fig. 5 is a schematic diagram of an electronic device provided in an embodiment of the present invention.

Detailed Description

In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

In order to make the objects, technical solutions and advantages of the present invention more apparent, the following description is made by way of specific embodiments with reference to the accompanying drawings.

The existing electric power industry expansion and installation process comprises key business links such as business acceptance, site survey, project establishment, material supply, project implementation, project acceptance and power cut and delivery plan, and related platforms or systems comprise systems such as an acquisition system, an electric power operation safety operation Platform, a power Production Management System (PMS), an intelligent scheduling management system (OMS), an Enterprise Resource Planning system (Enterprise Resource Planning, ERP), an electronic commerce Platform (E-Commercial Platform, ECP), 186 systems and the like; in actual electric power industry expansion work, a plurality of processes and a plurality of platforms or systems are involved, and data fusion between different platforms or systems is difficult.

Based on this, the invention uses the key business link as the longitudinal coordinate and the system as the transverse coordinate, and constructs the operation flow chart for positioning the intersection of the longitudinal business and the transverse business, so as to realize the fusion of the data of different flows and different platforms or systems of the electric power industry expansion and installation, and perform the multi-path informatization identification of the electric power industry expansion and installation, therefore, the electric power industry expansion and installation flow constructed based on the key business flow and the system is shown in table 1:

TABLE 1 electric power industry expansion installation process

As can be seen from table 1, in the electric power industry expansion installation, a plurality of processes and systems are involved, and in order to completely identify the information of the electric power industry expansion installation, data between different platforms or systems must be fully fused to obtain information of the complete process of the electric power industry expansion installation, so that monitoring and analysis of the electric power industry expansion installation can be realized.

Fig. 1 is a flowchart of a first implementation of a multi-path informatization identification method for business expansion services provided by an embodiment of the present invention, which is detailed as follows:

the method aims at the problems that system work order information flow and actual engineering operation implementation are asynchronous in the electric power industry expansion work, work data loss really causes obstruction points of the industry expansion work to be lost or wrong and/or other data information flow problems to carry out information platform technology development, a data source end platform, a database network and a data collaborative optimization three-in-one executable data information framework which are matched with each other are built, and the operation and maintenance efficiency and the power utilization experience improvement of a power grid and a power user in two dimensions and multi-direction are achieved.

And step S101, acquiring source data of a data source end.

And step S102, constructing a database according to the source data.

And step S103, performing data collaborative optimization processing according to the database.

The embodiment of the invention constructs a new data information path by constructing a data source end platform, a database network and a data collaborative optimization three-in-one executable data information architecture which are matched with each other, so that the data information of the data source end platform can be processed by the database network to form a data combination, the relevant data of the monitored object can be timely and accurately acquired, the acquired data information of the business expansion installation is consistent with the actual engineering operation, the obstruction point in the business expansion installation process can be truly and accurately determined, the authenticity and effectiveness of the data are favorably ensured, and the subsequent implementation process of the business expansion installation is improved conveniently.

In a possible implementation manner, the data platform adopts an access type building manner, and a compatibly accessed data source end is an existing electronic information system and/or data management and database system of a provincial power grid or other levels of power grids, and the system comprises: the system comprises an intelligent monitoring system of a power grid business hall, an electric power material business super electronic information system, a non-centralized purchasing electronic internet of things information system, a power grid video monitoring and identifying platform, a 95598 business expansion worksheet information system, a power grid satellite map auditing system and an electric power illegal operation monitoring system; further comprising: a power grid SG186 system, a power grid OMS system and a power grid ERP system; the data source end performs system access and carrying construction in an alternative mode or any combination mode; any combination pattern includes at least: the system comprises a provincial-level electric power material commercial excess electronic information system, a provincial-level power grid business hall intelligent monitoring system, a provincial-level non-centralized purchasing electronic internet of things information system, a provincial-level power grid video monitoring and identifying platform and a provincial-level 95598 business expansion worksheet information system.

In this embodiment, the data platform, i.e., the data source end platform, is compatibly accessed to data source ends of an existing electronic information system and/or a data management and database system of a provincial power grid or other levels of power grids, and the data source end platform can acquire various source data from the data source ends, subsequently identify and process the source data, and screen out enough data related to business expansion installation, so as to accurately monitor the process of business expansion installation.

Furthermore, the provincial electric power material commercial excess electronic information system is used for uniformly managing, uniformly purchasing and uniformly settling the commonly used materials, so that the use information of the commonly used materials can be acquired, and the provincial electric network business hall intelligent monitoring system can acquire business information related to business expansion; the provincial level non-centralized purchasing electronic internet of things information system can acquire purchasing information of other materials, so that the using information of the purchased materials is determined; the provincial power grid video monitoring and identifying platform can determine the progress information of field operation of business expansion and installation and the like; the provincial 95598 business expansion work order information system acquires work order circulation information in the business expansion work order transfer process and feedback information of power users; the information is closely related to business expansion installation, so that the data source end platform at least needs to be compatibly connected with a provincial electric power material business super electronic information system, a provincial power grid business hall intelligent monitoring system, a provincial non-centralized purchasing electronic internet of things information system, a provincial power grid video monitoring and identifying platform and a provincial 95598 business expansion worksheet information system so as to acquire data required for monitoring the business expansion installation process.

In a specific embodiment, an existing electronic information system and data management system for a power saving network includes: the system comprises an intelligent monitoring system of a certain province south network business hall, an electric power and material business super-electronic information system of a certain province south network, an electronic internet of things information system for non-centralized purchase of a certain province south network, a video monitoring and identifying platform of a certain province south network electric power grid, an industry expansion work order information system of a certain province south network 95598, an electric power satellite map auditing system of a certain province south network and an electric power violation operation supervision system of a certain province south network.

Wherein, the system with the closer relevance of industry expanding packaging operation includes: the system comprises an electric material business ultra-electronic information system of a certain province south network, an intelligent monitoring system of a business hall of the south network of the certain province, an electronic internet of things information system for non-centralized purchasing of the south network of the certain province, a video monitoring and identifying platform of the south network of the certain province and an industry expansion worksheet information system 95598 of the south network of the certain province.

In a possible implementation manner, specifically, refer to an implementation flowchart for constructing an evo database shown in fig. 2, source data is acquired based on a data source end platform and a raw database group is constructed, a database network and data collaborative optimization first constructs a basic database of an application end, i.e., an evo database, based on the raw database group accessed by a system platform through data filtering and/or data retrieval, the database has a higher evolution level relative to the raw database group, data inclusion of the database after processing through the data filtering and data retrieval process correspondingly shows higher valence to an object unit, a subject unit and an operation flow of electric power industry expansion and installation work, and two-dimensional and multi-oriented operation and maintenance efficiency and power utilization experience promotion of a power grid enterprise and an electric power user are realized through database-level logical relationship reconstruction and database-in data architecture and filling of the database network on the basis of the evo evolution database, and subsequent information processing path matching and data optimization paradigm matching.

In this embodiment, a data source end platform acquires each platform or system that is compatible with access, acquires source data, constructs a raw database group according to the source data, and can integrate the acquired source data into one database; the data related to the business expansion installation process can be screened out from the source data in each system, the data irrelevant to the business expansion installation is filtered out, and the subsequent analysis and calculation efficiency can be improved; through the data architecture and filling in the evo database, the acquired data can be corresponded, so that the source data of a plurality of systems can be integrated, and accurate and effective data can be provided for business expansion and installation work.

In a possible implementation manner, a data screening tool is arranged at the front end of the evo database, and the data screening tool sets a reverse data attribute matching rule based on the characteristics of an object and/or a subject combination of the electric power industry expansion work, and excludes data irrelevant or significantly irrelevant to the electric power industry expansion work from the evo database, so that the invalid capacity of the database is avoided, the waste of system storage and computing resources is reduced, and the inefficiency and the invalidity of data operation and data processing are avoided.

In this embodiment, a data screening tool is arranged at the front end of the evo database, that is, a data screening tool is arranged between the raw database group and the evo database, and the data screening tool can exclude data in the raw database that is not related to the business expansion package operation and only retain data related to the business expansion package; the method constructs the ev database according to the reserved data, can effectively reduce redundant data, and only reserves effective data, thereby reducing the use capacity of the ev database and reducing the complexity of subsequent data processing.

In this embodiment, a data probe tool set may also be set at the front end of the evo database, and similarly, a data probe tool set is set between the raw database group and the evo database, where the data probe tool set includes a wide area data access port, elastic data tank, and a fully closed data outflow port, a data probe sequence combination constructed based on a forward data attribute matching rule is set inside the wide area data access port, and data that meets the forward data attribute matching rule in the raw database can be obtained and is corresponded to obtain a data probe sequence combination; the elastic data tank can acquire data of any data probe sequence in the data probe sequence combination matched with the elastic data tank, so that first data matched with the elastic data tank can be obtained; and then the first data is transmitted to the evo database through the totally closed data outflow port.

In one possible implementation manner, a data screening tool and a data probe tool set are simultaneously arranged at the front end of the evo database, the data screening tool is arranged at the far end of the evo database, and the data probe tool set is arranged at the near end of the evo database; irrelevant data is excluded from a basic database through a reverse data attribute matching rule of the data screening tool, and valuable data and/or effective data are intensively called from relevant data tank through a forward data attribute matching rule of a data probe tool set and a data probe sequence of the forward data attribute matching rule, so that the subsequently constructed basic database has the advantage of source efficiency.

Wherein, the source efficiency advantages include: refining the data capacity and improving the data titer of the basic layer body; the core layer can be compatible with secondary data extraction or optimization oriented to different data guidance and multiple progressive data processing, so that a data body and multi-dimensional, high-precision and high-precision data representation of the electric power industry expansion operation process represented by the data body are obtained, and an efficient and accurate data implementation way is provided for multiple requirements of operation supervision.

In this embodiment, referring to the implementation flowchart of constructing the evo database shown in fig. 2, the front end of the evo database is provided with a data screening tool and a data probe tool set at the same time, that is, the data screening tool and the data probe tool set are sequentially provided between the raw database and the evo database, so that the data in the raw database group passes through the data screening tool first, and the data unrelated to the business expansion package can be excluded, and only the data related to the business expansion package enters the subsequent processing steps; and then, first data matched with the data probe can be acquired through the data probe tool set, the acquired first data are transmitted to the evo database, and subsequent data processing is carried out, so that the data in the evo database are mutually matched, and the data in the evo database are all data related to business expansion, thereby avoiding interference of invalid data and reducing the complexity of calculation.

In one possible implementation, the static data structure of the evo database is: the electric power expansion operation unitized assemblies are used as data gathering points, a row/column of expandable data capacity pools are distributed after serial numbers are input into each data gathering point, multi-dimensional attributes corresponding to any electric power expansion operation unitized assembly are filled into the expandable data capacity pools, and the multi-dimensional attributes of the electric power expansion operation unitized assemblies at least comprise space coordinate information and other information; wherein the spatial coordinate information originates in an alternative or collaborative mode from: the method comprises the following steps of (1) acquiring a power-saving material commodity super electronic information system in Hebei province, and/or a non-centralized purchasing electronic Internet of things information system in Hebei province, and/or a video monitoring and identifying platform in Hebei province power-saving network, and/or a 95598 industry work order information system in Hebei province, and/or a satellite map auditing system in Hebei power-saving network; filling the space coordinate information of the electric power industry expansion operation unitized assembly to a first position point of the expandable data capacity pool; and other information originates from provincial information systems loaded into the data source end platform, and self-contained information data corresponding to the electric power industry expansion operation unitized assemblies are sequentially filled behind the first data of the expandable data capacity pool.

In this embodiment, the data entering the evo database is divided by the electric power business expansion operation unit components, the data is filled into the expandable data capacity pool according to the division result, the acquired data can be classified according to the electric power business expansion operation unit components, and the corresponding data can be determined according to the electric power business expansion operation unit components, so that the data can be calculated and analyzed for each electric power business expansion operation unit component, and whether obstruction points exist in the operation of each flow node of the electric power business expansion installation or not can be monitored in the following process.

The electric power industry expansion operation unitized assemblies can be divided according to each flow node in the electric power industry expansion operation process, and specifically, the electric power industry expansion operation process comprises flows of pre-acceptance, formal acceptance, field investigation, power supply scheme reply, matched power grid engineering implementation, contract signing, business charging, meter matching, power cut and filing and the like, each flow corresponds to one electric power industry expansion operation unitized assembly, an expandable data containing pool is determined according to each electric power industry expansion operation unitized assembly, so that the data of each flow node in the electric power industry expansion operation can be stored in the expandable data containing pool, the actual construction process of the electric power industry expansion operation can be analyzed according to the data of each flow node, and the monitoring of the electric power industry expansion operation is realized.

The electric power industry expansion operation unitized assembly can further comprise an object unit and a subject unit in the electric power industry expansion operation process, an expandable capacity pool corresponding to the object unit and/or the subject unit is determined, and space coordinate information and self-contained information data of the object and the subject in the electric power industry expansion operation can be obtained, so that the flow and the actual construction process of the electric power industry expansion operation can be analyzed.

Furthermore, the first data in the expandable data capacity pool is space coordinate information, and data corresponding to the space coordinate information in each platform or system is obtained and determined as other information; and correspondingly filling other information into the expandable data capacity pool according to the space coordinate information, thereby obtaining complete data information of the flow, the subject and the object of the electric power industry expansion and installation operation, and facilitating the subsequent analysis of the electric power industry expansion and installation process.

In a possible implementation mode, further data collaborative optimization processing is carried out on the evo evolution database, dynamic data optimization normal form matching is carried out on the evo evolution database on the basis of information processing path matching of the same framework, firstly, undetermined functions with time t as a single independent variable are constructed, and static databases of the same framework aggregation point, which are generated by constructing the same power business expansion operation unitized assembly at different time points, are packaged into a group of dynamic function data variables; the packaged function variable data is discrete, and continuous fitting of the discrete data is carried out by taking the first spatial coordinate information of the convergent expandable data capacity pool as an anchor point to obtain a function to be determined with time t as a single independent variable; and (3) based on the unary characteristic of the dynamic attribute and the two-dimensional attribute of the anchor point data, performing function continuity processing by adopting a plane vector field data fitting algorithm on a single curve, wherein the single curve is additionally limited so that a plane vector field function can be represented in a parametric quantization mode, selecting t as parametric independent variable data, and the plane vector field corresponds to the data structure of the first-order space coordinate information of the convergence point expandable data capacity pool.

In this embodiment, the evo evolution database is an evo database, after the extensible data capacity pool is filled, collaborative optimization processing is further performed on data in the extensible data capacity pool, data corresponding to the selected spatial coordinate information in the extensible data capacity pool is subjected to data fitting according to the extensible data capacity pool at different time points with the spatial coordinate information as an anchor point, a pending function with time as an independent variable is obtained, a continuous change condition of data information corresponding to the spatial coordinate information can be determined, and subsequent analysis of a job condition of electric power industry expansion and installation work corresponding to the spatial coordinate information is facilitated.

The data fitting algorithm is a simplest path algorithm, shortest path connection is carried out on different two-dimensional space coordinate information in a static database corresponding to different time points t, the algorithm only depends on two known data points to fit continuous dynamic information in the two data points, the accuracy is low, but the system resource occupation is extremely low, dynamic expression can be carried out in real time, and the data fitting algorithm has preferred applicability under the condition that the given first-order space coordinate information of the expandable data capacity pool is sufficiently dense; or the method has preferable applicability under the condition that the density of the first spatial coordinate information of the given expandable data capacity pool is matched with the requirement of data accuracy.

In this embodiment, a static database, that is, an evo database corresponding to each time point, is specifically represented as an expandable data capacity pool corresponding to the time point, spatial coordinate information in the expandable data capacity pools corresponding to different time points is subjected to shortest path connection, continuous dynamic information between two known data points is fitted, and data fitting is performed on data in the expandable data capacity pools at different time points, so as to obtain a undetermined function related to time.

Further, the data fitting algorithm is selected from the following algorithms: legendre polynomial fitting algorithm, classical least square function fitting algorithm, betz curve fitting algorithm; the Legendre polynomial fitting algorithm is essentially equivalent to the classical least square function fitting algorithm, variables on dynamic data points of the positions are determined based on a plurality of given two-dimensional space coordinate information, different weights are distributed to the given data points according to the distances between the given data points and the data points to be determined, the sum of squares of errors is minimized, and high-precision function continuous fitting is achieved; for a Legendre polynomial fitting algorithm, a classical least square function fitting algorithm and a Betz curve fitting algorithm, the calculation power consumption of the system is obviously higher than that of a simplest path algorithm, but the classical fitting algorithms can be simplified according to the requirement of data output precision, and the method has excellent data compatibility and applicability to the construction of dynamic data configurations of an evo database.

In this embodiment, a legendre polynomial fitting algorithm, a classical least square function fitting algorithm, or a betz curve fitting algorithm may also be employed to perform data fitting, so as to obtain continuous dynamic information that changes with time.

In a possible implementation mode, a function level data architecture obtained through dynamic data optimization paradigm matching obtains corresponding valuable data information output through parameter input of the function level data architecture, and/or further secondary data processing based on business expansion operation supervision and identification is carried out on the output valuable data, and multi-path and multi-target informatization supervision and identification of electric power business expansion installation are achieved; the parameter input operation comprises time parameter input so as to intercept dynamic data of the dynamic function database and acquire dynamic space information of an object or a subject of the power industry expansion operation; because the dynamic data configuration of the evo database is subjected to continuous fitting, the input of the time parameter is not limited by the data reality input by a source end and the data capacity of a raw database group, and any breakpoint and any precision interception and comparison are allowed; the secondary data processing comprises the step of solving Euclidean inner products among different electric power business expansion operation object or subject units so as to obtain the spatial relationship among the units, and particularly, the dynamic spatial relationship is obtained through dynamic interception; the Euclidean inner product adopts a square sum mode or an absolute value mode; on the basis of the secondary data processing, prediction analysis based on space movement can be carried out, for example, data interception is carried out through parameter input to obtain data information of each object, the objects with position data approaching gradually are automatically grouped into a group, the information of the objects in the group is optimized while the data information is intercepted, all component information of business expansion operation is solidified, the positioning of components of the power business expansion operation is realized, and a data basis and informatization realization path is additionally provided for preventive identification and early warning requirements of the power business expansion operation.

In this embodiment, the time parameter is input to determine the corresponding dynamic data in the dynamic function database, so that the dynamic space information of the power industry expansion operation object or subject can be obtained, and the position data of two objects gradually approach to indicate that the two objects may be the same object, so that the two objects are grouped together and analyzed and calculated together, thereby optimizing the object information, and accurately and completely obtaining the relevant information of the object for further analysis; the object units grouped into one group can be object units in different processes in the electric power industry expansion and installation operation process, the position movement information and other corresponding information of the group of object units can be determined according to the data information corresponding to the object units, the data information of each process in the electric power industry expansion and installation operation corresponding to the group of object units can be determined through the analysis of the position movement information and other corresponding information of the object units, and the complete information of the electric power industry expansion and installation operation process corresponding to the group of object units or the currently located operation process point can be obtained, so that each process of the electric power industry expansion and installation operation of the group of object units can be monitored, and the prevention identification and early warning of the extracorporeal circulation of the electric power industry expansion and installation can be realized.

The euclidean inner product between different electric power business expansion operation objects or the subject units is solved, and the euclidean inner product between different object units can be solved, the euclidean inner product between different subject units can be solved, the euclidean inner product between the object units and the subject units can be solved, the spatial relationship between the units can be obtained, and therefore the dynamic information of the object units and the subject units can be analyzed.

In a specific embodiment, referring to the flowchart of the second implementation of the multi-path informatization identification method for business expansion products shown in fig. 3, the following is detailed:

s301, obtaining source data of the data source end.

S302, constructing a raw database according to the source data.

S303, acquiring data related to business expansion by the data screening tool.

S304, acquiring first data matched with the data probe sequence combination through the data probe tool set and transmitting the first data to the evo database.

And S305, dividing the first data according to the power industry expansion unit-based component, and filling the expandable data capacity pool according to the space coordinate information to obtain second data.

And S306, performing data fitting according to the second data to obtain a undetermined function.

And S307, determining a function value corresponding to the undetermined function according to the parameter input.

And S308, detecting the business expansion work according to the function value.

After the function value data corresponding to the first function is obtained, the time points of all the operation flows can be compared with the time points of the work plans or the end reports, whether obstruction exists in the current electric power industry expansion work or whether the planned operation flows are inconsistent with the actual operation flows is determined, and therefore flow analysis of the electric power industry expansion work is achieved, and preventive recognition and early warning of extracorporeal circulation of the electric power industry expansion work are achieved.

Furthermore, time points can be compared in a specific scene, and whether the planned operation flow is consistent with the actual operation flow is detected, so that preventive identification is realized.

For entry and acquisition of a job plan of the electric power industry expansion work, the following scenario may be referred to.

In a scene 1, in an electric power operation business expansion site investigation link, after accepting an electric power user power utilization application, a worker organizes to carry out site investigation, a site operation plan is input into an electric power operation safety control platform, and the work plan permission time and the end report time are consistent with the site investigation time of an electric power operation business application system; and (3) operation guide analysis: job plan-index by date, verify that the work content contains the corresponding user number and user name.

Scene 2, in a completion acceptance link, after an electric power user submits an acceptance report application at an electric assistant, working personnel complete 186 system completion acceptance within a planned working day, the acceptance personnel enter a working plan at an electric power operation safety control platform, and the permission time and the termination report time of the working plan are not later than the completion time of 186 system completion acceptance link; and (3) operation guide analysis: job plan-index by date, verify that the work content contains the corresponding user number and user name.

In a scenario 3, in a meter installing and power transmitting link, meter installing personnel enter a work plan in the electric power operation safety control platform, and the permission time and the end report time of the work plan are consistent with the completion time and date of the meter installing and power transmitting link; and (3) operation guide analysis: job plan-indexed by date, verify that the work content contains the corresponding user number and user name.

In a meter installing and power connecting link, comparing the finishing time of a meter installing and power transmitting link of the SG186 system and the first operating time of the powered device with the completion time of an OMS power failure/live working plan, and positioning users with inconsistent first operating time of the powered device, wherein the finishing time of the OMS power failure/live working plan and the finishing time of the SG186 meter installing and power transmitting link are set; and (3) operation guide analysis: OMS system-professional flow management-province, prefecture and county integrated power failure plan-comprehensive query-county tone content query-day-ahead power failure plan query-power failure plan detail table-lookup-completion starting column/completion time.

In a power supply scheme link, comparing SG186 service acceptance time with contract signing time of an NC system business expansion project and NC system fund account arrival time, and judging whether the contract signing time of the NC system and the NC system fund account arrival time are earlier than the SG186 service acceptance time or not; job-oriented analysis 1: project management-project contract management-construction contract; job-oriented analysis 2: function navigation-project management-project contract management-progress collection.

And in a new installation operation link, when the deviation between the daily electric quantity calculated by the voltage and current values of the user collected on the first day and the daily electric quantity collected on the first day is larger than 50%, the electric meter is installed first and then power utilization is carried out.

And in a scene 7, in the process of terminating and restarting the expansion process, all newly initiated high-voltage new installation and capacity increase processes point to a statistical period on the power operation business application system, 30 days before the start time of business acceptance statistics, similar process termination records exist, and details of the same power supply unit, the same user name, the same line name and the same contract capacity in the work order of the initiation and termination processes pay attention.

In a scene 8, in a first operation link of the powered device, the first operation time of the powered device in a meter installation and power connection link is that the powered device of a user needs to normally operate on the same power transmission day, a transformer is firstly started on the same power transmission day, and the first operation time cannot be earlier than the current date; and (3) operation guide analysis: and (4) early warning, interception or prompting by the system.

And 9, in a traceability classification link, visually displaying a problem salient region by pointing to the business expansion thermodynamic diagram board, penetrating and analyzing to business personnel, and pertinently improving traceability classification deployment and early warning of the found general, regional and typical problems from the aspect of system process management measures.

According to the embodiment of the invention, a new data information path is constructed by constructing the mutually matched data source end platform, the database network and the data collaborative optimization three-in-one executable data information architecture, so that the data information of the data source end platform is processed by the database network to form a data combination, and the relevant data of the monitored object can be timely and accurately acquired; specifically, by compatibly accessing a plurality of data source ends, data of a plurality of systems or platforms can be acquired, a raw database group is established, and data of an electric power system can be fully acquired, so that data related to a business expansion installation process is ensured to be acquired; by arranging the data screening tool at the front end of the evo database, only data related to the business expansion process can be reserved, redundant data are prevented from entering the evo database, the use capacity of the evo database is reduced, and the complexity of subsequent data processing is reduced; a data probe tool set is arranged at the front end of the evo database, so that related data can be matched, the matched data can enter the evo database, the related data can be conveniently fused in the follow-up process, and the follow-up calculation complexity is reduced; setting a static data framework in the evo database, and dividing data entering the evo database by a power business expansion operation unitized assembly so as to obtain data related to each flow node of the power business expansion installation, thereby facilitating the subsequent detection of whether the acquired data information of the business expansion installation is consistent with the actual engineering operation; then, by means of collaborative optimization processing of data, the spatial coordinate information is taken as an anchor point, the continuous change condition of the data information corresponding to the spatial coordinate information is determined, and the subsequent analysis of the operation condition of the electric power industry expansion installation operation corresponding to the spatial coordinate information is facilitated; through secondary data processing, the related information of the object is accurately and completely acquired, the obstruction point in the business expansion and installation process can be truly and accurately determined, the authenticity and effectiveness of data are guaranteed, and the implementation process of the subsequent electric power business expansion and installation operation is conveniently improved.

It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by functions and internal logic of the process, and should not limit the implementation process of the embodiments of the present invention in any way.

The following are embodiments of the apparatus of the invention, reference being made to the corresponding method embodiments described above for details which are not described in detail therein.

Fig. 4 is a schematic structural diagram of a multi-path informatization identification system of a business expansion package provided by an embodiment of the invention, and for convenience of explanation, only parts related to the embodiment of the invention are shown, which are detailed as follows:

as shown in fig. 4, the multi-path informatization identification system 4 for expansion packaging includes: a data source end platform 41, a database network module 42 and a data collaborative optimization module 43;

a data source end platform 41, configured to obtain source data of a data source end;

a database network module 42 for constructing a database from the source data;

and the data collaborative optimization module 43 is configured to perform data collaborative optimization processing according to the database.

In a possible implementation manner, the data source end platform 41, which is specifically used for an existing electronic information system and/or data management and database system of which the data source end that is compatible with the access is a provincial power grid or other levels of power grids, includes: the system comprises an intelligent monitoring system of a power grid business hall, an electric power material business super electronic information system, a non-centralized purchasing electronic thing networking information system, a power grid video monitoring and identifying platform, a 95598 business expansion worksheet information system, a power grid satellite map auditing system, an electric power illegal operation monitoring system, a power grid SG186 system, a power grid OMS system and a power grid ERP system; the data source end carries out system access and carrying construction in an alternative mode or any combination mode; any combination pattern includes at least: the system comprises a provincial-level electric power material business super-electronic information system, a provincial-level power grid business hall intelligent monitoring system, a provincial-level non-centralized purchasing electronic internet of things information system, a provincial-level power grid video monitoring and identifying platform and a provincial-level 95598 business expansion worksheet information system.

In a possible implementation manner, the database network module 42 is specifically configured to obtain source data and construct a raw database group based on a data source end platform, the database network and data collaborative optimization first constructs a basic database, i.e., an evo database, of an application end based on the raw database group accessed by the system platform through data filtering and/or data calling, the database has a higher evolution level relative to the raw database group, the data connotation of the database after the data filtering and data calling process correspondingly shows a higher valence to an object unit, a subject unit and an operation flow of the electric power industry expansion and installation operation, and the two-dimensional and multi-oriented operation and maintenance efficiency and power utilization experience improvement of a power grid enterprise and an electric power user are realized through database-level logical relationship reconstruction and database-in-database data architecture and filling on the basis of the evolvement of the evo database, and subsequent information processing path matching and data optimization paradigm matching.

In one possible implementation, the static data structure of the evo database is: the electric power expansion operation unitized assemblies are used as data gathering points, a row/column of expandable data capacity pools are distributed after serial numbers are input into each data gathering point, multi-dimensional attributes corresponding to any electric power expansion operation unitized assembly are filled into the expandable data capacity pools, and the multi-dimensional attributes of the electric power expansion operation unitized assemblies at least comprise space coordinate information and other information; wherein the spatial coordinate information originates in an alternative or collaborative mode from: the electric power and material business in Hebei province is surpassed by an electronic information system, and/or the non-centralized purchasing electronic Internet of things information system in Hebei province; and/or a video monitoring and identifying platform of the Hebei power saving network; and/or 95598 business expansion work order information system of Hebei province; and/or a satellite map auditing system of the power saving network in the Hebei province; filling the space coordinate information of the electric power expansion operation unitized assembly to a first position of the expandable data capacity pool; and other information originates from provincial information systems loaded into the data source end platform, and self-contained information data corresponding to the electric power industry expansion operation unitized assemblies are sequentially filled behind the first data of the expandable data capacity pool.

In a possible implementation manner, the data collaborative optimization module 43 is specifically configured to perform further data collaborative optimization processing on the evo evolution database, perform dynamic data optimization paradigm matching on the evo evolution database based on information processing path matching of the same architecture, first construct an undetermined function with time t as a single argument, and encapsulate the same-architecture aggregation-point static databases generated by constructing the same power industry extension operation unitized assembly at different time points into a set of dynamic function data variables; the packaged function variable data is discrete, and continuous fitting of the discrete data is carried out by taking the first spatial coordinate information of the convergent expandable data capacity pool as an anchor point to obtain a function to be determined with time t as a single independent variable; based on the unary characteristic of the dynamic attribute and the two-dimensional attribute of the anchor point data, adopting a plane vector field data fitting algorithm on a single curve to carry out function continuity processing, wherein the single curve is additionally limited to enable a plane vector field function to be shown in a parametric quantization table, and selecting t as parametric independent variable data, wherein the plane vector field corresponds to a data structure of the first spatial coordinate information of the convergence point expandable data capacity pool;

the data fitting algorithm is a simplest path algorithm, shortest path connection is carried out on different two-dimensional space coordinate information in the static databases corresponding to different time points t, the algorithm only depends on two known data points to fit continuous dynamic information in the two data points, the accuracy is low, but the system resource occupation is extremely low, dynamic expression can be carried out in real time, and the algorithm has preferred applicability under the condition that the given first space coordinate information of the expandable data capacity pool is sufficiently dense; or under the condition that the density of the first spatial coordinate information of the given expandable data capacity pool is matched with the requirement of data accuracy, the method has preferable applicability;

the data fitting algorithm is selected from the following algorithms: legendre polynomial fitting algorithm; a classical least squares function fitting algorithm; a Betz curve fitting algorithm; the Legendre polynomial fitting algorithm is essentially equivalent to a classical least square function fitting algorithm, variables on position dynamic data points are determined based on a plurality of given two-dimensional space coordinate information, different weights are distributed to the given data points according to the distances between the given data points and undetermined data points, the sum of squares of errors is minimized, and high-precision function continuous fitting is achieved; for Legendre polynomial fitting algorithm, classical least square function fitting algorithm and Betz curve fitting algorithm, the calculation power consumption of the system is obviously higher than that of the simplest path algorithm, but the classical fitting algorithms can be simplified according to the requirement of data output precision, and the construction of dynamic data configuration of an evo database has excellent data compatibility and applicability.

In a possible implementation mode, a function level data architecture obtained through dynamic data optimization paradigm matching obtains corresponding valuable data information output by performing parameter input on the function level data architecture, and/or performs further secondary data processing based on business expansion operation supervision guidance on the output valuable data, so that multi-path and multi-target informatization supervision and identification of electric power business expansion installation are realized; the parameter input operation comprises time parameter input so as to intercept dynamic data of the dynamic function database and acquire dynamic space information of an object or a subject of the power industry expansion operation; because the dynamic data configuration of the evo database is subjected to continuous fitting, the input of the time parameter is not limited by the data reality input by a source end and the data capacity of a raw database group, and any breakpoint and any precision interception and comparison are allowed; the secondary data processing comprises the step of solving Euclidean inner products among different electric power industry expansion operation object or subject units so as to obtain the spatial relationship among the units, and particularly, the dynamic spatial relationship is obtained through dynamic interception; the Euclidean inner product adopts a square sum mode or an absolute value mode; on the basis of the secondary data processing, prediction analysis based on space movement can be carried out, for example, data interception is carried out through parameter input to obtain data information of each object, the objects with position data approaching gradually are automatically grouped into a group, the information of the objects in the group is optimized while the data information is intercepted, all component information of business expansion operation is solidified, the positioning of components of the power business expansion operation is realized, and a data basis and informatization realization path is additionally provided for preventive identification and early warning requirements of the power business expansion operation.

The embodiment of the invention establishes a multi-path informatization identification system of business expansion by constructing a data source end platform, a database network module and a data collaborative optimization module which are matched with each other, and constructs a new data information path by a three-in-one executable data information architecture, so that the data information of the data source end platform is processed by the database network to form a data combination, and the relevant data of the monitored object can be timely and accurately acquired; specifically, the data source end platform is compatibly accessed to a plurality of data source ends, so that data of a plurality of systems or platforms can be acquired, a raw database group is established, and data of the power system can be fully acquired, so that data related to the business expansion and installation process is ensured to be acquired; a data screening tool is arranged at the front end of the evo database in the database network module, so that only data related to the business expansion process can be reserved, redundant data are prevented from entering the evo database, the use capacity of the evo database is reduced, and the complexity of subsequent data processing is reduced; a data probe tool set is arranged at the front end of the evo database, so that related data can be matched, the matched data can enter the evo database, the related data can be conveniently fused in the follow-up process, and the follow-up calculation complexity is reduced; setting a static data framework in the evo database, and dividing data entering the evo database by using the electric power business expansion operation unitized assembly so as to obtain data related to each flow node of the electric power business expansion installation, thereby facilitating the follow-up detection of whether the obtained data information of the business expansion installation is consistent with the actual engineering operation; the data collaborative optimization module determines the continuous change condition of the data information corresponding to the space coordinate information by taking the space coordinate information as an anchor point through collaborative optimization processing of data, so that the subsequent analysis of the operation condition of the electric power industry expansion installation operation corresponding to the space coordinate information is facilitated; through secondary data processing, relevant information of the object is accurately and completely acquired, an obstruction point in the business expansion installation process can be truly and accurately determined, the reality and the effectiveness of data are guaranteed, and the follow-up implementation process of the business expansion installation is improved conveniently.

Fig. 5 is a schematic diagram of an electronic device provided in an embodiment of the present invention. As shown in fig. 5, the electronic apparatus 5 of this embodiment includes: a processor 50, a memory 51 and a computer program 52 stored in said memory 51 and executable on said processor 50. The processor 50 executes the computer program 52 to implement the steps in the above-mentioned multipath information identification method embodiments of various business expansion devices, such as the steps S101 to S103 shown in fig. 1. Alternatively, the processor 50, when executing the computer program 52, implements the functions of the modules in the system embodiments, such as the functions of the modules 41 to 43 shown in fig. 4.

Illustratively, the computer program 52 may be partitioned into one or more modules/units, which are stored in the memory 51 and executed by the processor 50 to implement the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 52 in the electronic device 5. For example, the computer program 52 may be divided into the modules 41 to 43 shown in fig. 4.

The electronic device 5 may include, but is not limited to, a processor 50 and a memory 51. Those skilled in the art will appreciate that fig. 5 is merely an example of an electronic device 5 and does not constitute a limitation of the electronic device 5 and may include more or fewer components than shown, or some components may be combined, or different components, e.g., the electronic device may also include input-output devices, network access devices, buses, etc.

The Processor 50 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The memory 51 may be an internal storage unit of the electronic device 5, such as a hard disk or a memory of the electronic device 5. The memory 51 may also be an external storage device of the electronic device 5, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the electronic device 5. Further, the memory 51 may also include both an internal storage unit and an external storage device of the electronic device 5. The memory 51 is used for storing the computer program and other programs and data required by the electronic device. The memory 51 may also be used to temporarily store data that has been output or is to be output.

It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the system is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. For the specific working processes of the units and modules in the system, reference may be made to the corresponding processes in the foregoing method embodiments, which are not described herein again.

In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

In the embodiments provided in the present invention, it should be understood that the disclosed system/electronic device and method can be implemented in other ways. For example, the above-described system/electronic device embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed coupling or direct coupling or communication connection between each other may be through some interfaces, indirect coupling or communication connection between systems or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may also be implemented in the form of a software functional unit.

The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or system capable of carrying the computer program code, recording medium, U.S. disk, removable hard disk, magnetic diskette, optical disk, computer Memory, read-Only Memory (ROM), random Access Memory (RAM), electrical carrier wave signal, telecommunications signal, and software distribution medium, etc.

The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.

Claims

1. The utility model provides a multi-path informationization identification method of business expansion dress, carries out information platform ization technical development to system work order information flow and actual engineering operation implementation asynchronous, operation data loss really lead to business expansion dress operation obstruction point to lose or the mistake and/or other data information flow problems in the electric power business expansion dress operation, its characterized in that: the method constructs a mutually matched data source end platform, a database network and a data collaborative optimization three-in-one executable data information architecture, and realizes the two-dimensional and multi-oriented operation and maintenance efficiency and power consumption experience improvement of a power grid and power consumers.

2. The business expansion installation multi-path informatization identification method according to claim 1, characterized in that: the data platform adopts the access formula to build the mode, and compatible data source end of inserting is the current electronic information system and/or data management and database system of provincial electric wire netting or other grades electric wire netting, includes: the system comprises an intelligent monitoring system of a power grid business hall and an electric power material commercial super electronic information system; non-centralized purchasing of an electronic Internet of things information system; a power grid video monitoring and identifying platform; 95598 business expansion work order information system; a grid satellite map auditing system; a power violation operation monitoring system; further comprising: a power grid SG186 system, a power grid OMS system and a power grid ERP system; the data source end performs system access and carrying construction in an alternative mode or any combination mode; the arbitrary combination pattern includes at least: the provincial level electric power material business ultra-electronic information system; the system comprises an intelligent monitoring system of a provincial power grid business hall and an electronic internet of things information system for provincial non-centralized purchasing; a provincial power grid video monitoring and identifying platform; provincial 95598 business expansion work order information system.

3. The business expansion installation multi-path informatization identification method according to claim 1, characterized in that: the method comprises the steps that source data are obtained and built on the basis of a data source end platform to obtain a raw database group, a database network and data collaborative optimization firstly builds a basic database of an application end, namely an evo database, on the basis of the raw database group accessed by a system platform through data filtering and/or data calling, the database has a higher evolution grade relative to the raw database group, the data connotation of the database correspondingly shows higher titer to an object unit, a main unit and an operation flow of electric power industry expansion and installation operation after data filtering and data calling process processing, a database-level logical relation of the database network is used for reconstructing and filling a database framework in the database on the basis of the evo database, and subsequent information processing path matching and data optimization paradigm matching are used for realizing the improvement of two-dimensional and multi-oriented operation and maintenance efficiency and electricity utilization experience of power grid enterprises and electric power users.

4. The business expansion installation multi-path informatization identification method according to claim 1, characterized in that: a data screening tool is arranged at the front end of the evo database, and sets a reverse data attribute matching rule based on the characteristics of an object and/or subject combination of the electric power industry expansion work, and data irrelevant or obviously irrelevant to the electric power industry expansion work are excluded from the evo database, so that the invalid capacity of the database is avoided, the waste of system storage and calculation resources is reduced, and the inefficiency and the invalidity of data operation and data processing are avoided.

5. The multi-path informatization recognition method for business expansion installations according to claim 1, characterized in that: the method comprises the steps that a data probe tool set is arranged at the front end of an evo database, the data probe tool set is provided with a wide area data access port and a fully-closed data outflow port, elastic data tan is arranged between the wide area data access port and the fully-closed data outflow port, the elastic data tan realizes the self-adaptive adjustment of elastic data capacity according to needs by borrowing storage capacity from a system or releasing redundant capacity from the system in real time based on the data inflow amount of the wide area data access port and the data acquisition amount of a subsequent data probe, a data probe sequence combination constructed based on a forward data attribute matching rule is arranged in the data access port, all data probe sequences are globally exposed in the elastic data tan and continuously and dynamically walk away, and any data which can be matched with any data probe sequence in the data probe sequence combination in the elastic data storage tan are transmitted into the evo database after being captured by the data probes.

6. The business expansion installation multi-path informatization identification method according to claim 1, characterized in that: the front end of the evo database is simultaneously provided with a data screening tool and a data probe tool set, the data screening tool is arranged at the far end of the evo database, and the data probe tool set is arranged at the near end of the evo database; irrelevant data is excluded from a basic database through a reverse data attribute matching rule of the data screening tool, and valuable data and/or effective data are intensively called from relevant data tank through a forward data attribute matching rule of a data probe tool set and a data probe sequence of the forward data attribute matching rule, so that the subsequently constructed basic database has the advantage of source efficiency.

7. The multi-path informatization recognition method for business expansion installations according to claim 1, characterized in that: the source efficiency advantages include: refining the data capacity and improving the data titer of the basic layer body; the core layer can be compatible with secondary data extraction or optimization oriented to different data guidance and multiple progressive data processing, so that a data body and multi-dimensional, high-precision and high-fineness data of the represented electric power industry expansion operation process are obtained and displayed, and an efficient and accurate data implementation way is provided for multiple requirements of operation supervision.

8. The multi-path informatization recognition method for business expansion installations according to claim 1, characterized in that: the static data architecture of the evo database is as follows: the electric power industry expansion operation unitized assemblies are used as data gathering points, a row/column of expandable data capacity pools are distributed after serial numbers are input into each data gathering point, multi-dimensional attributes corresponding to any electric power industry expansion operation unitized assembly are filled into the expandable data capacity pools, and the multi-dimensional attributes of the electric power industry expansion operation unitized assemblies at least comprise space coordinate information and other information; wherein the spatial coordinate information originates in an alternative or collaborative mode from: the method comprises the steps that an electric power and material commodity business super electronic information system is saved in Hebei province, and/or an electronic internet of things information system is not intensively purchased in Hebei province; and/or a video monitoring and identifying platform of the Hebei power saving network; and/or a Hebei province 95598 business expansion work order information system; and/or a satellite map auditing system of the Hebei power saving network; filling the space coordinate information of the electric power industry expansion operation unitized assembly to a first position point of the expandable data capacity pool; and the other information originates from provincial information systems loaded into the data source end platform, and self-contained information data corresponding to the electric power industry expansion operation unitized assemblies are sequentially filled behind the first data of the expandable data capacity pool.

9. The business expansion installation multi-path informatization identification method according to claim 1, characterized in that: performing further data collaborative optimization processing on the evo evolution database, performing dynamic data optimization paradigm matching on the evo evolution database based on information processing path matching of the same framework, firstly constructing a pending function with time t as a single independent variable, and encapsulating the static databases of the same framework aggregation point, which are constructed and generated by the same power business expansion operation unitized assembly at different time points, into a group of dynamic function data variables; the packaged function variable data is discrete, and continuous fitting of the discrete data is carried out by taking the first spatial coordinate information of the convergent expandable data capacity pool as an anchor point to obtain a function to be determined with time t as a single independent variable; based on the unary characteristic of the dynamic attribute and the two-dimensional attribute of the anchor point data, adopting a plane vector field data fitting algorithm on a single curve to carry out function continuity processing, wherein the single curve is additionally limited to enable a plane vector field function to be subjected to parametric quantization, selecting t as parametric independent variable data, and the plane vector field corresponds to a data structure of the first spatial coordinate information of the convergent point expandable data capacity pool;

the data fitting algorithm is a simplest path algorithm, shortest path connection is carried out on different two-dimensional space coordinate information in the static databases corresponding to different time points t, the algorithm only depends on two known data points to fit continuous dynamic information in the two data points, the accuracy is low, but the system resource occupation is extremely low, dynamic expression can be carried out in real time, and the algorithm has preferred applicability under the condition that the given first-position space coordinate information of the expandable data capacity pool is sufficiently dense; or under the condition that the density of the first spatial coordinate information of the given expandable data capacity pool is matched with the requirement of data accuracy, the method has preferable applicability;

the data fitting algorithm is selected from the following algorithms: legendre polynomial fitting algorithm; a classical least squares function fitting algorithm; a Betz curve fitting algorithm; the Legendre polynomial fitting algorithm is essentially equivalent to the classical least square function fitting algorithm, variables on dynamic data points of the positions are determined based on a plurality of given two-dimensional space coordinate information, different weights are distributed to the given data points according to the distances between the given data points and the data points to be determined, the sum of squares of errors is minimized, and high-precision function continuous fitting is achieved; for Legendre polynomial fitting algorithm, classical least square function fitting algorithm and Betz curve fitting algorithm, the calculation power consumption of the system is obviously higher than that of the simplest path algorithm, but the classical fitting algorithms can be simplified according to the requirement of data output precision, and the construction of dynamic data configuration of an evo database has excellent data compatibility and applicability.

10. The multi-path informatization recognition method for business expansion installations according to claim 1, characterized in that: the method comprises the steps that a function level data architecture is obtained through dynamic data optimization paradigm matching, corresponding valuable data information output is obtained through parameter input of the function level data architecture, and/or the output valuable data are subjected to further secondary data processing based on business expansion operation supervision and identification, and multi-path and multi-target informatization supervision and identification of electric power business expansion installation are achieved; the parameter input operation comprises time parameter input so as to intercept dynamic data of the dynamic function database and acquire dynamic space information of an object or a subject of the power industry expansion operation; because the dynamic data configuration of the evo database is continuously fitted, the input of the time parameter is not limited by the data reality input by a source end and the data capacity of a raw database group, and any breakpoint and any precision interception and comparison are allowed; the secondary data processing comprises the step of solving Euclidean inner products among object or subject units of different power industry expansion jobs so as to obtain the spatial relationship among the units, and particularly, the dynamic spatial relationship is obtained through dynamic interception; the Euclidean inner product adopts a square sum mode or an absolute value mode; on the basis of the secondary data processing, prediction analysis based on space movement can be carried out, for example, data interception is carried out through parameter input to obtain data information of each object, the objects with position data approaching gradually are automatically grouped into a group, the information of the objects in the group is optimized while the data information is intercepted, all component information of business expansion operation is solidified, the positioning of components of the power business expansion operation is realized, and a data basis and informatization realization path is additionally provided for preventive identification and early warning requirements of the power business expansion operation.