CN114911774B

CN114911774B - User-oriented power grid service type database system and application thereof

Info

Publication number: CN114911774B
Application number: CN202210587279.2A
Authority: CN
Inventors: 李宏胜; 武光华; 陈博; 吕向彬; 付凤平; 魏志平; 付立衡
Original assignee: State Grid Hebei Electric Power Co Ltd; Marketing Service Center of State Grid Hebei Electric Power Co Ltd
Current assignee: State Grid Hebei Electric Power Co Ltd; Marketing Service Center of State Grid Hebei Electric Power Co Ltd
Priority date: 2022-05-27
Filing date: 2022-05-27
Publication date: 2023-03-24
Anticipated expiration: 2042-05-27
Also published as: CN114911774A

Abstract

The invention discloses a user-oriented power grid service type database, which is used for constructing the configuration of partial sub-databases based on user orientation and cooperatively constructing the rest sub-databases, wherein the obtained database has high-strength and high-value data capacity and is applied as a basic data platform of a power grid event; the application comprises the following steps: for user-directed grid event driven factor presentation, grid job optimization, and other application processing. The invention can carry out standardization, informatization, automatic intelligent execution and processing on mass data acquired by earlier-stage investigation, and effectively solves the problems of low efficiency, non-standard data processing direction, high data careless rate and the like caused by mainly depending on manual statistics and analysis in the existing work.

Description

User-oriented power grid service type database system and application thereof

Technical Field

The invention relates to the technical field of electric power, in particular to an application type database derived from the data processing requirements of power grid users.

Background

With the rapid development of our country's economy and the rapid development of marketization, the characteristics of non-exclusivity, non-competitiveness, openness and diversity of public service enterprises put higher demands on the customer service management of enterprises including power grid companies.

Therefore, a user-oriented third-party evaluation working platform is constructed, mass data closely related to various links of power grid enterprises and power users are obtained through a large amount of practical work performed based on the platform, and an important platform foundation and a data foundation are laid for establishing a more complete power supply service optimization index system.

However, for the mass data obtained, the processing has previously relied mainly on manual statistics and analysis. The existing operation practice clearly shows the huge defects, such as the contrast between mass data and limited manpower, which causes extremely low data processing efficiency; more importantly, the data processing guide cannot be unified and normalized, so that valuable data information is ignored, invalid information is recycled, and the like; the following steps are repeated: quality of data processing, manual processing must go through multiple checks to avoid data errors, and so on.

Therefore, it is necessary to develop a standardized, electronically information executable, user-oriented grid application database to solve the above important, critical and urgent technical problems.

Disclosure of Invention

The invention aims to provide a user-oriented power grid service type application database and application thereof.

In order to solve the technical problems, the technical scheme adopted by the invention is as follows.

A user-oriented power grid service type application database is characterized in that the database is used for constructing a part of sub-databases based on user orientation and cooperatively constructing the other sub-databases, and the obtained database has high-strength and high-value data capacity and is used as a basic data platform of a power grid event; the application comprises the following steps: for user-directed grid event driver presentation, grid job optimization, and other application processing; the grid event driver presentation has globally presented data characteristics; the power grid operation optimization has the global degree of freedom set by an operation target and the information data execution characteristic under the set target.

As a preferred technical solution of the present invention, the database includes at least:

the power grid user type-closing distribution sub-database comprises the following steps: carrying out data configuration on the power grid user assembly type distribution sub-database based on the power demand event characteristics of power grid users, wherein the data configuration rules are set to be in a double-layer-multi-stage mode and comprise a guest type data rule layer and a limiting type data rule layer, and the guest type data rule layer and the limiting type data rule layer are respectively and independently provided with one-stage to multi-stage data rules;

(II) a power grid company element type distribution sub-database: the configuration of the power grid user closed type distribution sub-database is constructed according to power utilization requirements and/or power utilization services related to power grid users in a power grid event, wherein the power grid users are used as guidance, the data content of the database is substantially completely compatible with power grid event factor data elements guided by a power grid company, the data content is fully covered in a restricted type data rule layer of the power grid user closed type distribution sub-database, all leading data configuration rules and all auxiliary data configuration rules of the restricted type data rule layer are directly based on the natural data attributes of the power grid company power events, and the data configuration of the power grid company closed type distribution sub-database is correspondingly constructed according to the configuration of the power grid user closed type distribution sub-database.

As a preferred technical solution of the present invention, the object-type data rule layer of the power grid user type-closing distribution sub-database includes the following leading data configuration rules:

k-1, a multi-dimensional data normal form, wherein the data realization process of the multi-dimensional data normal form is as follows: the method comprises the following steps of carrying out data filling realization on multiple targets of power utilization requirements and/or power utilization services based on power grid users;

k-2, a tree-shaped data paradigm, wherein the data implementation process of the tree-shaped data paradigm is as follows: and on the basis of the multi-dimensional data paradigm, data filling is carried out on the basis that a plurality of sub-concern elements exist in any power utilization requirement and/or power utilization service of a power grid user.

As a preferred technical solution of the present invention, the restrictive data rule layer of the power grid user closed type distribution sub-database includes the following dominant data configuration rules:

x-1, a data evolution normal form, wherein the data implementation process of the data evolution normal form is as follows: setting all levels of data in the power grid user closed type distribution sub-database as expandable attributes to realize a regular paradigm; wherein, the data of each level comprises: (1) the multi-target data of the power grid users with orthogonal attributes in the multi-dimensional data paradigm in K-1 set the data as data with expandable attributes in the following operation mode: allowing more power grid user power demand and/or power service target data to be stored in an increased mode according to needs; (2) the operation mode of setting data of each level of sub-element data and/or grand element data and further branch data concerned by the power grid user in the tree-shaped architecture data model in K-2 as expandable attribute data is as follows: (2) -1 allows to store more tree data branches in addition as needed; (2) -2, for data on an existing tree branch and data on a newly stored tree branch, respectively allowing more data bytes to be stored in an increased manner as required;

x-2, a data orthogonal normal form, wherein the data realization process of the data orthogonal normal form is as follows: (1) for the multi-dimensional data normal form in K-1, only data in the power grid event process are classified, homogeneous data and/or associated data are normalized, heterogeneous data/irrelevant data are processed in parallel, namely orthogonal normal form processing of the data is completed, and meanwhile, the result of the orthogonal processing is in cooperative consistency with the dimension number of the multi-dimensional data normal form in K-1; (2) for the tree-structure data paradigm in K-2, tree branches of the same order are only required to be allocated with parallel and independent data attributes of the same order, and meanwhile, subordinate data attributes are allocated among the tree branches of different orders, wherein the order of the tree branches defines the thickness based on the tree branches to be numerically processed, and the allocation of the subordinate data attributes does not allow the tree branches spanning the tree branches of the previous level.

As a preferred technical solution of the present invention, in addition to the leading rule, the restrictive data rule layer of the power grid user combined distribution sub-database further includes the following auxiliary data configuration rules:

x' -1, a numerical model, for multi-dimensional data in K-1, realizing the numeralization of data content through data processing in advance or through a set data conversion rule; for the user requirements of the power grid events, data acquired naturally are often in a numerical format, or can be naturally converted into the numerical format; for the tree-shaped architecture data paradigm in K-2, the numerical realization of each branch data follows the same process as the multi-dimensional data in the K-1;

x' -2, an indexable paradigm, wherein the indexable of the multidimensional data in K-1 and the tree-structured data in K-2 is realized through a digital mark or a header mark of the data and other conventional data processing modes;

x' -3, a data discretization paradigm, wherein natural discretization data are directly collected and stored; for continuous data, intercepting the data as required to obtain discrete data, wherein the intercepting rule of the data is as follows: the method comprises the following steps that a first rule sets a time and/or space interception density range which is fine enough based on the actual demand of a user of a power grid event, and a second rule carries out range reduction in a combined manner of the storage capacity of a database, the calculation capacity of data processing and other factors within the interception density range defined by the first rule until a small enough range interval or a data point is obtained;

the data continuity paradigm is that for natural discrete data, series point data acquisition within a certain time and/or space range is carried out based on the user fact requirements of the power grid event, and then data continuity processing and value prediction are carried out based on the acquired series point data by adopting a Lagrange interpolation method; for the data condition with heavy nodes, further adopting an Hermite interpolation method to process data; the data rule paradigm serves as a standby data paradigm and is called as required according to the actual situation of the power grid event.

As a preferred technical solution of the present invention, the restrictive data rule layer of the power grid user type-closing distribution sub-database further includes the following data derivative interactive paradigm: for newly added data derived under the data evolution paradigm in X-1, the data evolution paradigm is interactively compatible with other existing dominant restrictive data rules or auxiliary restrictive data rules, including a data orthogonal paradigm in X-2, and/or a numerical paradigm in X '-1, and/or an indexable paradigm in X' -2, and/or a data discretization paradigm in X '-3, and/or a data serialization paradigm in X' -4.

As a preferred technical solution of the present invention, the configuration of the power grid user type distribution sub-database is constructed according to the power demand and/or power service associated with the power grid user in the power grid event, wherein the power grid user is taken as a guide, the data content of the database is substantially completely compatible with the power grid event factor data elements guided by the power grid company, and the data content is fully covered in the constraint data rule layer of the power grid user type distribution sub-database, all the leading data configuration rules of the constraint data rule layer, that is, the data evolution normal form in X-1 and the data orthogonal normal form in X-2, and all the auxiliary data configuration rules of the constraint data rule layer, that is, the numerical range in X ' -1, the indexable normal form in X ' -2, the data discretization normal form in X ' -3, and the data serialization normal form in X ' -4, are directly based on the power grid company's power event natural data attributes, so: and the data configuration of the power grid company elementary type distribution sub-database is directly and correspondingly constructed according to the configuration of the power grid user closed type distribution sub-database, so that the power grid company elementary type distribution sub-database has the same data rule and database configuration as the power grid user closed type distribution sub-database.

As a preferred technical scheme of the invention, the data realization process of the power grid company elementary distribution sub-database corresponding to the K-1 multidimensional data paradigm under the power grid user elementary distribution sub-database is as follows: according to each dimension data in the power grid user type distribution sub-database or equivalently according to each determined quantitative target data of the power grid users for power demand and/or power service, performing data filling on power grid event factor type elements related to the dimension data/target data in the power grid event; the power grid company elementary type distribution sub database correspondingly meets a multi-dimensional data paradigm cooperated with K-1;

as a preferred technical scheme of the invention, corresponding to a K-2 tree-shaped framework data model under a power grid user closed type distribution sub-database, the data implementation process of a power grid company elementary type distribution sub-database is as follows: directly adopting an equivalent tree structure, and filling the power grid event factor type elements related to the power grid event in the power grid event according to each tree branch level in the power grid user closed type distribution sub-database; the power grid company element type distribution sub-database correspondingly meets the tree-shaped framework data paradigm cooperated with K-2.

As a preferred technical scheme of the invention, corresponding to an X-1 data evolution paradigm under a power grid user closed type distribution sub-database, the data implementation process of a power grid company elementary type distribution sub-database is as follows: the realization of a regular paradigm is carried out by setting the data of each level in the system as expandable attributes; the data at each level comprises power grid event factor type element data corresponding to power grid user type distribution sub-databases under K-1 and K-2 paradigms, wherein the data operation mode set as expandable attribute is as follows: the method comprises the steps of allowing more power grid event factor type element data to be stored in an increased mode as required, allowing more tree data branches to be stored in an increased mode as required, and allowing more data bytes to be stored in an increased mode as required for power grid company factor data on the existing tree branches and power grid company factor data on the newly-added stored tree branches;

as a preferred technical scheme of the invention, corresponding to an X-2 data orthogonal paradigm under a power grid user closed type distribution sub-database, the data implementation process of a power grid company elementary type distribution sub-database is as follows: (1) corresponding to a multi-dimensional data paradigm in a power grid user type closing distribution sub-database K-1, classifying power grid company factor data, normalizing same-class data and/or related data, and performing parallel processing on heterogeneous data/unrelated data to finish orthogonal paradigm processing of the data, wherein the data dimensionality after orthogonal processing is irrelevant to the data dimensionality of the power grid user type closing distribution sub-database; (2) corresponding to the tree-shaped architecture data paradigm in the power grid user closed type distribution sub-database K-2, parallel and independent data attributes of the same order are distributed to power grid company factor data tree branches of the same order, and meanwhile, subordinate data attributes are distributed among the power grid company factor data tree branches of different orders.

As a preferred technical scheme of the invention, the data dimension of the elementary distribution sub-database of the power grid company is irrelevant to the data dimension of the power grid user closed type distribution sub-database after the elementary distribution sub-database of the power grid company is orthogonally processed, and the two types of dimension numbers are independent respectively; the incidence relation is expressed as: (1) the order of the data tensor in the grid company element type distribution sub-database is 1 more than that in the grid user combination type distribution sub-database; (2) for different components of the data order tensor, the dimensionality coefficient depends on the number of the element data of the grid event factor, and therefore is not unique.

As a preferred technical scheme of the invention, corresponding to an X' -1 numerical paradigm under a power grid user type distribution sub-database, the data implementation process of the power grid company type distribution sub-database is as follows: the numeralization of data content is realized through the prior data processing or the set data conversion rule, and for the factor data of the power grid company, the numeralization is realized by taking time and/or space as parameters;

as a preferred technical scheme of the invention, corresponding to an X' -2 indexable paradigm under a power grid user type distribution sub-database, the data implementation process of a power grid company type distribution sub-database is as follows: the data can be indexed through a digital mark or a header mark of the data and other conventional data processing modes;

as a preferred technical scheme of the invention, corresponding to the X' -3 data discretization paradigm under the power grid user type distribution sub-database, the data implementation process of the power grid company type distribution sub-database is as follows: for natural discrete data, directly collecting and storing the data; for continuous data, intercepting the data as required to obtain discrete data; for the factor data of the power grid company, data interception is generally carried out by taking time and/or space as indexes;

as a preferred technical scheme of the invention, corresponding to an X' -4 data serialization paradigm under a power grid user closed type distribution sub-database, the data implementation process of a power grid company elementary type distribution sub-database adopts the same Lagrange interpolation method or an Hermite interpolation method to carry out data processing;

as a preferred technical scheme of the invention, the element type distribution sub-database of the power grid company naturally has the same data derivation interactive paradigm corresponding to the data derivation interactive paradigm under the power grid user type distribution sub-database.

The user-oriented power grid service type application database is used as a basic data platform of a power grid event, and comprises the following steps: for user-directed grid event driven factor presentation, grid job optimization, and other application processing.

As a preferred technical solution of the present invention, the grid event promotion factor presents data characteristics having a global presentation.

As a preferred embodiment of the present invention, the grid work optimization has a global degree of freedom set by a work target and an information-based data execution characteristic under the set target.

As a preferred technical solution of the present invention, the user-oriented grid event promotion factor presentation process is:

a- (1) merging parallel data on the same-order tree branch in a power grid user closed type distribution sub-database to form a first-order tensor, namely a data vector;

a- (2) traversing parallel data on all-order tree branches in a power grid user closed type distribution sub-database to obtain all-order tensors, namely a plurality of data vectors;

a- (3) combining vectors with the same dimensionality to obtain a plurality of second-order tensors/matrixes for all the first-order tensor/vector data obtained in the step (2), so as to complete all possible data combination;

b- (1) for each second-order tensor obtained in the step A, acquiring the difference of corresponding factor data in a power grid company-based prime type distribution sub-database;

b- (2), storing the difference obtained in the previous step as a third-order tensor based on the dimension number of the factor data in the power grid company prime type distribution sub-database;

b- (3), each component of the three-order tensor obtained in the previous step is associated with the difference value of factor data in the corresponding power grid company pixel type distribution sub-database, and the obtained new three-order tensor has the data attribute of a Jacobian function determinant and is presented as a user-oriented power grid event pushing factor tensor;

as a preferred technical solution of the present invention, the data process of the power grid operation optimization is as follows: based on a set target, carrying out tensor linear operation on the power grid event promotion factor tensor obtained by the step B- (3) and the factor data which is firstly related to the factor tensor, selecting an optimal factor data combination by comparing the obtained values, and matching the power grid operation according to the factor data combination;

as a preferred technical solution of the present invention, the user-directed grid event promotion factor presentation and the grid operation optimization are both automatically executed by a local or cloud server, and the data results are automatically stored and reported in the form of a data graph, an electronic display screen, voice broadcast, data mail transmission, and the like.

Adopt the produced beneficial effect of above-mentioned technical scheme to lie in: the invention develops a normalized, electronically information-executable and user-oriented power grid application type database, can perform standardized, informationized and automated intelligent execution and processing on power grid user-oriented mass data acquired by early investigation, and effectively solves the problems of low efficiency, non-normative data processing direction, high data combing rate and the like caused by mainly depending on manual statistics and analysis in the prior work.

In the application aspect, an important value of the invention is that the database is used as a basic data platform of the power grid event, the user-oriented power grid event promotion factor presentation can be rapidly and efficiently carried out, and the technology is used as bottom data, so that a data basis is directly and conveniently provided for subsequent multiple materialization, detailed power grid operation optimization and user service promotion electronic application directions. For example, feedback optimization is performed on the most common power grid operation process (such as business expansion and installation work, meter reading and payment work, electric energy metering work, business hall service work, breakdown first-aid repair work, complaint reporting work and the like) by taking user satisfaction as a quantitative index, and because target data has multi-dimensional attributes, adjustment of operation items has different increasing and decreasing influences on different target indexes, on the basis of which, estimation can be performed only by depending on subjectivity and experience relative to manual analysis. In addition, the whole process can be directly processed by the aid of an electronic computer (or a cloud server) in an informationized mode.

Drawings

Fig. 1 is a schematic block diagram of the present invention.

Detailed Description

The following examples illustrate the invention in detail. The raw materials and various devices used in the invention are conventional commercially available products, and can be directly obtained by market purchase.

In the following description of embodiments, 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 present application. It will be apparent, however, to one skilled in the art that the present application 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 application with unnecessary detail.

It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.

It should also be understood that the term "and/or" as used in this specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items and includes such combinations.

As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to" determining "or" in response to detecting ". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".

Furthermore, in the description of the present application and the appended claims, the terms "first," "second," "third," and the like are used for distinguishing between descriptions and not necessarily for describing a relative importance or importance.

Reference throughout this specification to "one embodiment" or "some embodiments," or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," or the like, in various places throughout this specification are not necessarily all referring to the same embodiment, but rather "one or more but not all embodiments" unless specifically stated otherwise. The terms "comprising," "including," "having," and variations thereof mean "including, but not limited to," unless otherwise specifically stated.

Example 1 database framework

The database comprises a user-oriented sub-database (I) and a power grid company-oriented sub-database (II), the configuration construction of the sub-database (I) is carried out on the basis of user orientation, the sub-database (II) is cooperatively constructed, and the obtained database has high-strength and high-value data capacity and is applied as a basic data platform of a power grid event; the application comprises the following steps: for user-directed grid event driver presentation, grid job optimization, and other application processing; the grid event driving factor presents data characteristics with global presentation; the power grid operation optimization has the global degree of freedom set by an operation target and the information data execution characteristic under the set target.

Example 2 Power grid user closed type distribution sub-database-data positioning

The data positioning and naming of the power grid user closed type distribution sub-database are characterized in that when the power grid user closed type distribution sub-database is subjected to data interaction with a power grid company element type distribution sub-database, the power grid user closed type distribution sub-database is used as synthetic data of internal data and power grid event pushing factor data of the power grid company element type distribution sub-database, and numerical fitting and data feedback are carried out on the basis of the synthetic data, so that power grid operation feedback optimization facing to a specific target specified in advance is achieved.

Embodiment 3 Power grid user closed type distribution sub-database-integral framework

The power grid user closed type distribution sub-database carries out data configuration on the power grid user closed type distribution sub-database based on the electricity demand event characteristics of power grid users, the data configuration rules are set to be in a double-layer-multi-stage mode and comprise a guest type data rule layer and a limiting type data rule layer, and the guest type data rule layer and the limiting type data rule layer are respectively and independently provided with one-stage to multi-stage data rules.

Embodiment 4 Power grid user closed type distribution sub-database-object type data rule layer architecture

The object type data rule layer of the power grid user closed type distribution sub-database comprises the following leading data configuration rules: k-1, a multi-dimensional data normal form, wherein the data realization process of the multi-dimensional data normal form is as follows: the method comprises the following steps of carrying out data filling realization on multiple targets of power utilization requirements and/or power utilization services based on power grid users; k-2, a tree-shaped architecture data paradigm, wherein the data implementation process of the tree-shaped architecture data paradigm is as follows: on the basis of a multi-dimensional data paradigm, data filling is achieved based on the fact that a power grid user has multiple sub-concern elements for any power utilization requirement and/or power utilization service.

Embodiment 5, power grid user's profile subdatabase-restricted type data rule layer architecture (1-leading)

The limiting type data rule layer of the power grid user type combination distribution sub-database comprises the following leading data configuration rules: x-1, a data evolution normal form, wherein the data implementation process of the data evolution normal form is as follows: the regular paradigm is realized by setting all levels of data in the power grid user closed type distribution sub-database as expandable attributes; wherein, each level of data comprises: (1) the multi-target data of the power grid users with orthogonal attributes in the multi-dimensional data paradigm in K-1 set the data as data with expandable attributes in the following operation mode: allowing more power grid user power demand and/or power service target data to be stored in an increased mode according to needs; (2) the operation mode of setting the data into expandable attribute data in the sub-element data and/or the grand element data and the further branch data of each level concerned by the power grid user in the tree-shaped architecture data model in K-2 is as follows: (2) -1 allows to store more tree data branches in addition as needed; (2) 2, for the data on the existing tree branch and the data on the newly stored tree branch, respectively allowing more data bytes to be stored in an increased mode according to the requirement; x-2, a data orthogonal normal form, wherein the data realization process of the data orthogonal normal form is as follows: (1) for the multi-dimensional data normal form in K-1, only data in the power grid event process are classified, homogeneous data and/or associated data are normalized, heterogeneous data/irrelevant data are processed in parallel, namely orthogonal normal form processing of the data is completed, and meanwhile, the result of the orthogonal processing is in cooperative consistency with the dimension number of the multi-dimensional data normal form in K-1; (2) for the tree-structure data paradigm in K-2, tree branches of the same order are only required to be allocated with parallel and independent data attributes of the same order, and meanwhile, subordinate data attributes are allocated among the tree branches of different orders, wherein the order of the tree branches defines the thickness based on the tree branches to be numerically processed, and the allocation of the subordinate data attributes does not allow the tree branches spanning the tree branches of the previous level.

Embodiment 6, power grid user closed type distribution sub-database-restricted type data rule layer architecture (2-assistance)

Besides the leading rule, the limiting type data rule layer of the power grid user type combination distribution sub-database also comprises the following auxiliary data configuration rules:

x' -1, a numerical model, for multi-dimensional data in K-1, realizing the numeralization of data content through data processing in advance or through a set data conversion rule; for the user requirements of the power grid events, data acquired naturally are often in a numerical format, or can be naturally converted into the numerical format; for the tree-structured data paradigm in K-2, the numerical realization of each branch data follows the same process as the multi-dimensional data in the K-1;

Embodiment 7, power grid user closed type distribution sub-database-restricted type data rule layer architecture (3-interactive)

The restrictive data rule layer of the power grid user type distribution sub-database further comprises the following data derivative interactive paradigm: for newly added data derived under the data evolution paradigm in X-1, the data evolution paradigm is interactively compatible with other existing dominant restrictive data rules or auxiliary restrictive data rules, including a data orthogonal paradigm in X-2, and/or a numerical paradigm in X '-1, and/or an indexable paradigm in X' -2, and/or a data discretization paradigm in X '-3, and/or a data serialization paradigm in X' -4.

Example 8 Power grid user closed type distribution sub-database-data positioning

The data positioning and naming of the power grid company elementary type distribution sub-database are characterized in that when the data interaction is carried out with the power grid user closed type distribution sub-database, the content data of the elementary type distribution sub-database and the power grid event pushing factor data (see the application example part of the data) carry out data action, and the content data of the elementary type distribution sub-database and the power grid event pushing factor data are used as the synthetic data after the action of the content data and the power grid event pushing factor data. And the operation of the whole data structure is subjected to numerical fitting and data feedback on the basis of the operation, so that the feedback optimization of the power grid operation facing to a specific target specified in advance is realized.

Embodiment 9 grid company element type distribution sub-database-integral framework

The configuration of the power grid user type distribution sub-database is constructed according to power utilization requirements and/or power utilization services related to power grid users in a power grid event, wherein the power grid users are used as guidance, the data content of the database is substantially completely compatible with power grid event factor data elements guided by a power grid company, the data content is fully covered in a limiting type data rule layer of the power grid user type distribution sub-database, all leading data configuration rules and all auxiliary data configuration rules of the limiting type data rule layer are directly based on the natural data attributes of the power grid company power events, and the data configuration of the power grid company type distribution sub-database is correspondingly constructed according to the configuration of the power grid user type distribution sub-database.

Specifically, all dominant data configuration rules of the constraint data rule layer, i.e. the data evolution paradigm in X-1 and the data orthogonal paradigm in X-2, and all auxiliary data configuration rules of the constraint data rule layer, i.e. the numerical paradigm in X '-1, the indexable paradigm in X' -2, the data discretization paradigm in X '-3, and the data serialization paradigm in X' -4, are directly based on the power event natural data attributes of the power grid company, and thus: and the data configuration of the power grid company plain type distribution sub-database is directly and correspondingly constructed according to the configuration of the power grid user closed type distribution sub-database, so that the power grid company plain type distribution sub-database has the same data rule and database configuration as the power grid user closed type distribution sub-database.

Example 10 grid company plain type distribution sub-database-object layer

Corresponding to a K-1 multi-dimensional data paradigm under a power grid user closed type distribution sub-database, the data implementation process of the power grid company elementary type distribution sub-database is as follows: according to each dimension data in the power grid user type distribution sub-database or equivalently according to each determined quantitative target data of the power grid users for power demand and/or power service, performing data filling on power grid event factor type elements related to the dimension data/target data in the power grid event; the power grid company element type distribution sub-database correspondingly meets the multi-dimensional data paradigm coordinated with K-1; corresponding to a K-2 tree-shaped framework data model under a power grid user closed type distribution sub-database, the data implementation process of the power grid company elementary type distribution sub-database is as follows: directly adopting an equivalent tree structure, and filling the power grid event factor type elements related to the power grid event in the power grid event aiming at each tree branch level in the power grid user closed type distribution sub-database; the power grid company element type distribution sub-database correspondingly meets the tree-shaped framework data paradigm cooperated with K-2.

Example 11 grid Co plain type distribution sub database-restriction layer (1-2-3)

Corresponding to the X-1 data evolution paradigm under the power grid user closed type distribution sub-database, the data implementation process of the power grid company pixel type distribution sub-database is as follows: the realization of a regular paradigm is carried out by setting the data of each level in the system as expandable attributes; the data at each level comprises power grid event factor type element data corresponding to power grid user type distribution sub-databases under K-1 and K-2 paradigms, wherein the data operation mode set as expandable attributes is as follows: the method comprises the steps of allowing more power grid event factor type element data to be stored in an increased mode as required, allowing more tree data branches to be stored in an increased mode as required, and allowing more data bytes to be stored in an increased mode as required for power grid company factor data on the existing tree branches and power grid company factor data on the newly-added stored tree branches; corresponding to an X-2 data orthogonal paradigm under a power grid user closed type distribution sub-database, the data implementation process of the power grid company elementary type distribution sub-database is as follows: (1) corresponding to a multi-dimensional data paradigm in a power grid user type closing distribution sub-database K-1, classifying power grid company factor data, normalizing same-class data and/or related data, and performing parallel processing on heterogeneous data/unrelated data to finish orthogonal paradigm processing of the data, wherein the data dimensionality after orthogonal processing is irrelevant to the data dimensionality of the power grid user type closing distribution sub-database; (2) corresponding to a tree-shaped framework data paradigm in the power grid user closed type distribution sub-database K-2, parallel and independent data attributes of the same order are distributed to power grid company factor data tree branches of the same order, and meanwhile, subordinate data attributes are distributed among the power grid company factor data tree branches of different orders.

Corresponding to an X' -1 numerical paradigm under a power grid user closed type distribution sub-database, the data realization process of the power grid company elementary type distribution sub-database comprises the following steps: the numeralization of data content is realized through the prior data processing or the set data conversion rule, and for the factor data of the power grid company, the numeralization is realized by taking time and/or space as parameters; corresponding to an X' -2 indexable paradigm under a power grid user closed type distribution sub-database, the data realization process of the power grid company elementary type distribution sub-database is as follows: the data can be indexed by a digital mark or a header mark of the data and other conventional data processing modes; corresponding to the X' -3 data discretization paradigm under the power grid user closed type distribution sub-database, the data realization process of the power grid company pixel type distribution sub-database is as follows: for natural discrete data, directly collecting and storing the data; for continuous data, intercepting the data as required to obtain discrete data; for the factor data of the power grid company, data interception is generally carried out by taking time and/or space as indexes; corresponding to the X' -4 data serialization paradigm under the power grid user closed type distribution sub-database, the data realization process of the power grid company plain type distribution sub-database adopts the same Lagrange interpolation method or the Hermite interpolation method to carry out data processing.

Corresponding to the data derivation interactive paradigm under the power grid user type distribution sub-database, the power grid company type distribution sub-database naturally has the same data derivation interactive paradigm.

Example 12 grid company primitive type distribution sub-database-data order expansion

The data dimension of the elementary distribution sub-database of the power grid company is irrelevant to the data dimension of the power grid user closed distribution sub-database after orthogonal processing is carried out on the elementary distribution sub-database of the power grid company, and the two types of dimension numbers are independent respectively; the incidence relation is expressed as: (1) the order of the data tensor in the element type distribution sub-database of the power grid company is 1 more than that of the data tensor in the user type distribution sub-database of the power grid company; (2) for different components of the data order tensor, the dimensionality coefficient depends on the number of the element data of the grid event factor, and therefore is not unique.

Example 13 database application- -information implementation

As can be seen from the following two embodiments, when data is specifically applied and called, the whole process can be directly performed by using an electronic computer (or a cloud server) for information processing. No matter the user-oriented power grid event promoting factors are presented or the power grid operation is optimized, and the application directions in any direction are changed, the automatic execution is carried out through a local or cloud server, and the automatic storage and the report of data results are carried out through data charts, electronic display screens, voice broadcast, data mail sending and other forms, and the like.

Example 14 application of database- -user-oriented grid event driver presentation

The grid event pushing factor presents data characteristics with global presentation, and the data process is as follows:

and B- (3) associating each component of the three-order tensor obtained in the previous step with a difference value of factor data in the corresponding power grid company pixel type distribution sub-database, wherein the obtained new three-order tensor has the data attribute of a Jacobian function determinant and is presented as a user-oriented power grid event pushing factor tensor.

Example 15 database application- -user-oriented optimization of grid operations

The power grid operation optimization has the global degree of freedom set by an operation target and the information data execution characteristic under the set target; the data process of user-oriented power grid operation optimization is as follows: based on a set target, carrying out tensor linear operation on the power grid event driving factor tensor obtained in the step B- (3) and the factor data which is firstly related to the power grid event driving factor tensor, selecting an optimal factor data combination by comparing the obtained values, and matching the power grid operation according to the factor data combination.

Therefore, the specific optimization process has extremely high compatibility and extremely wide coverage. In a specific optimization process, the previous embodiment plays a fundamental role, and directly and conveniently provides a data basis for a plurality of subsequent materialization, detailed power grid operation optimization and user service promotion sub-application directions as bottom data. For example, feedback optimization is performed on the most common power grid operation process (such as business expansion and installation work, meter reading and payment work, electric energy metering work, business hall service work, breakdown first-aid repair work, complaint reporting work and the like) by taking user satisfaction as a quantitative index, and because target data has multi-dimensional attributes, adjustment of operation items has different increasing and decreasing influences on different target indexes, on the basis of which, estimation can be performed only by depending on subjectivity and experience relative to manual analysis.

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.

In various embodiments, the hardware implementation of the technology may directly employ existing intelligent devices, including but not limited to industrial personal computers, PCs, smart phones, handheld stand-alone machines, floor stand-alone machines, and the like. The input device preferably adopts a screen keyboard, the data storage and calculation module adopts the existing memory, calculator and controller, the internal communication module adopts the existing communication port and protocol, and the remote communication adopts the existing gprs network, the web and the like.

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 apparatus is divided into different functional units or modules, so as to perform all or part of the functions described above. 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. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, a module or a unit may be divided into only one logical function, and may be implemented in other ways, 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 mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices 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 position, 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.

Each functional unit 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 in the method according to the embodiments of the present invention may also be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of the embodiments of the method. . 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 device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic disk, optical disk, computer Memory, read-Only Memory (ROM), random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution media, and the like. It should be noted that the computer readable medium may contain other components which may be suitably increased or decreased as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, in accordance with legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunications signals.

The above-mentioned embodiments are only used to illustrate the technical solution of the present invention, and not to limit 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. A user-oriented grid-service application database system, comprising: the database is used for constructing the configuration of part of sub-databases based on user guidance and cooperatively constructing the rest sub-databases, and the obtained database has high-strength and high-value data capacity and is used as a basic data platform of a power grid event; the database at least comprises a power grid user type-closing distribution sub-database and a power grid company element type distribution sub-database, wherein: when the power grid user closed type distribution sub-database and the power grid company plain type distribution sub-database perform data interaction, the former appears as the synthetic data of the internal data and the power grid event driving factor data of the latter;

a power grid user closed type distribution sub-database: carrying out data configuration on the power grid user assembly type distribution sub-database based on the power demand event characteristics of power grid users, wherein the data configuration rules are set to be in a double-layer-multi-stage mode and comprise a guest type data rule layer and a limiting type data rule layer, and the guest type data rule layer and the limiting type data rule layer are respectively and independently provided with one-stage to multi-stage data rules;

grid company element type distribution sub-database: the configuration of the power grid user closed type distribution sub-database is constructed according to power utilization requirements and/or power utilization services related to power grid users in a power grid event, wherein the power grid users are used as guidance, the data content of the database is substantially completely compatible with power grid event factor data elements guided by a power grid company, the data content is fully covered in a restricted type data rule layer of the power grid user closed type distribution sub-database, all leading data configuration rules and all auxiliary data configuration rules of the restricted type data rule layer are directly based on the natural data attributes of the power grid company power events, and the data configuration of the power grid company closed type distribution sub-database is correspondingly constructed according to the configuration of the power grid user closed type distribution sub-database;

the object type data rule layer of the power grid user closed type distribution sub-database comprises the following leading data configuration rules:

k-2, a tree-shaped data paradigm, wherein the data implementation process of the tree-shaped data paradigm is as follows: on the basis of the multi-dimensional data paradigm, data filling is carried out on the basis that a power grid user has multiple sub-concern elements for any power utilization requirement and/or power utilization service;

the limiting type data rule layer of the power grid user type-closing distribution sub-database comprises the following leading data configuration rules:

x-1, a data evolution normal form, wherein the data evolution normal form comprises the following data realization processes: setting all levels of data in the power grid user closed type distribution sub-database as expandable attributes to realize a regular paradigm; wherein, the data of each level comprises: (1) the multi-target data of the power grid users with orthogonal attributes in the multi-dimensional data paradigm in K-1 set the data as data with expandable attributes in the following operation mode: allowing more power grid user power demand and/or power service target data to be stored in an increased mode according to needs; (2) the operation mode of setting data of each level of child element data and/or grandchild element data and further branch data concerned by the power grid user in the tree-shaped architecture data model in K-2 as expandable attributes is as follows: (2) -1 allows to store more tree data branches in addition as needed; (2) 2, for the data on the existing tree branch and the data on the newly stored tree branch, respectively allowing more data bytes to be stored in an increased mode according to the requirement;

x-2, a data orthogonal normal form, wherein the data realization process of the data orthogonal normal form is as follows: (1) for the multi-dimensional data normal form in K-1, only data in the power grid event process are classified, homogeneous data and/or associated data are normalized, heterogeneous data/irrelevant data are processed in parallel, namely orthogonal normal form processing of the data is completed, and meanwhile, the result of the orthogonal processing is in cooperative consistency with the dimension number of the multi-dimensional data normal form in K-1; (2) for the tree-shaped architecture data paradigm in K-2, tree-shaped branches of the same order are only required to be distributed with parallel and independent data attributes of the same order, and meanwhile, subordinate data attributes are distributed among the tree-shaped branches of different orders, wherein the orders of the tree-shaped branches define thickness based on the tree-shaped branches to be numerically processed, and the distribution of the subordinate data attributes does not allow the tree branches spanning the tree branches of the previous level;

x' -1, a numerical model, for multi-dimensional data in K-1, realizing the numeralization of data content through data processing in advance or through a set data conversion rule; for user demand data of a power grid event, the data acquired naturally is in a numerical format, or can be converted into the numerical format naturally; for the tree-shaped architecture data paradigm in K-2, the numerical realization of each branch data follows the same process as the multi-dimensional data in the K-1;

x' -2, indexable paradigm, through the digitized mark or header mark of the data to realize multidimensional data in K-1 and tree-shaped structure data indexable in K-2;

x' -3, a data discretization paradigm, wherein natural discretization data are directly collected and stored; for continuous data, intercepting the data as required to obtain discrete data, wherein the intercepting rule of the data is as follows: the method comprises the following steps that a first rule sets a time and space interception density range which is fine enough based on the actual demand of a user of a power grid event, and a second rule carries out range reduction in a combined manner of the storage capacity of a database and the computational capacity of data processing within the interception density range defined by the first rule until a small enough range interval or a data point is obtained;

the data continuity paradigm is that for natural discrete data, series point data acquisition within a certain time and/or space range is carried out based on the user fact requirements of the power grid event, and then data continuity processing and value prediction are carried out based on the acquired series point data by adopting a Lagrange interpolation method; for the data condition with heavy nodes, further adopting a Hermite interpolation method to process the data; the data rule paradigm is used as a standby data paradigm and is called as required according to the actual situation of a power grid event;

the restrictive data rule layer of the power grid user type-closing distribution sub-database further comprises the following data derivation interactive normal forms: for newly added data derived under the data evolution paradigm in X-1, the data evolution paradigm is interactively compatible with other existing dominant restrictive data rules or auxiliary restrictive data rules, including a data orthogonal paradigm in X-2, and/or a numerical paradigm in X '-1, and/or an indexable paradigm in X' -2, and/or a data discretization paradigm in X '-3, and/or a data serialization paradigm in X' -4.

2. A user-oriented grid services application database system according to claim 1, wherein:

corresponding to a K-1 multi-dimensional data paradigm under a power grid user closed type distribution sub-database, the data implementation process of the power grid company elementary type distribution sub-database is as follows: according to each dimension data in the power grid user type distribution sub-database or equivalently according to each determined quantitative target data of the power grid users for power demand and/or power service, performing data filling on power grid event factor type elements related to the dimension data/target data in the power grid event; the power grid company elementary type distribution sub database correspondingly meets a multi-dimensional data paradigm cooperated with K-1;

corresponding to a K-2 tree-shaped framework data model under a power grid user closed type distribution sub-database, the data implementation process of the power grid company elementary type distribution sub-database is as follows: directly adopting an equivalent tree structure, and filling the power grid event factor type elements related to the power grid event in the power grid event aiming at each tree branch level in the power grid user closed type distribution sub-database; the power grid company elementary type distribution sub database correspondingly meets the tree-shaped framework data paradigm cooperated with K-2.

3. A customer directed grid services application database system according to claim 1, wherein:

corresponding to an X-1 data evolution paradigm under a power grid user closed type distribution sub-database, the data implementation process of a power grid company elementary type distribution sub-database is as follows: the realization of a regular paradigm is carried out by setting the data of each level in the system as expandable attributes; the data at each level comprises power grid event factor type element data corresponding to power grid user type distribution sub-databases under K-1 and K-2 paradigms, wherein the data operation mode set as expandable attribute is as follows: allowing more power grid event factor type element data to be stored in an increased mode according to needs, allowing more tree data branches to be stored in an increased mode according to needs, and allowing more data bytes to be stored in an increased mode according to needs for power grid company factor data on existing tree branches and power grid company factor data on newly-added stored tree branches;

corresponding to an X-2 data orthogonal paradigm under a power grid user closed type distribution sub-database, the data implementation process of the power grid company elementary type distribution sub-database is as follows: (1) corresponding to a multi-dimensional data paradigm in a power grid user type closing distribution sub-database K-1, classifying power grid company factor data, normalizing same-class data and/or related data, and performing parallel processing on heterogeneous data/unrelated data to finish orthogonal paradigm processing of the data, wherein the data dimensionality after orthogonal processing is irrelevant to the data dimensionality of the power grid user type closing distribution sub-database; (2) corresponding to a tree-shaped framework data paradigm in the power grid user closed type distribution sub-database K-2, parallel and independent data attributes of the same order are distributed to power grid company factor data tree branches of the same order, and meanwhile, subordinate data attributes are distributed among the power grid company factor data tree branches of different orders.

4. A customer-oriented grid-services application database system according to claim 3, wherein:

after orthogonal processing is carried out on the power grid company elementary type distribution sub-database, the incidence relation between the data dimension of the power grid company elementary type distribution sub-database and the data dimension of the power grid user assembly type distribution sub-database is represented as follows: (1) the order of the data tensor in the grid company element type distribution sub-database is 1 more than that in the grid user combination type distribution sub-database; (2) for different components of the data order tensor, the dimensionality coefficient depends on the number of the element data of the grid event factors.

5. A user-oriented grid services application database system according to claim 1, wherein:

corresponding to an X' -1 numerical paradigm under a power grid user closed type distribution sub-database, the data realization process of the power grid company elementary type distribution sub-database comprises the following steps: the method comprises the steps that the digitization of data content is realized through the prior data processing or the set data conversion rule, and for the factor data of the power grid company, the digitization is realized by taking time and/or space as parameter values;

corresponding to an X' -2 indexable paradigm under a power grid user closed type distribution sub-database, the data realization process of the power grid company elementary type distribution sub-database is as follows: the data can be indexed through a digital mark or a header mark of the data;

corresponding to the X' -3 data discretization paradigm under the power grid user closed type distribution sub-database, the data realization process of the power grid company pixel type distribution sub-database is as follows: for natural discrete data, directly collecting and storing the data; for continuous data, intercepting the data as required to obtain discrete data; for the factor data of the power grid company, data interception is carried out by taking time and/or space as indexes;

corresponding to an X' -4 data continuous paradigm under a power grid user closed type distribution sub-database, a data implementation process of a power grid company plain type distribution sub-database adopts the same Lagrange interpolation method or an Hermite interpolation method to carry out data processing;

corresponding to the data derivation interactive paradigm under the power grid user type distribution sub-database, the power grid company type distribution sub-database has an equivalent data derivation interactive paradigm.

6. An application method of a user-oriented power grid service type application database system is characterized in that: the database system implemented as a user-directed grid services application database system as claimed in claim 1, which is applied as a base data platform for grid events, comprising: the method is used for presenting user-oriented power grid event promoting factors and optimizing power grid operation; the grid event driver presentation has globally presented data characteristics; the power grid operation optimization has the global degree of freedom set by an operation target and the informatization data execution characteristic under the set target;

the user-directed grid event motivation presentation process is:

a- (1) merging parallel data on the same-order tree branch in a power grid user closed type distribution sub-database to form a first-order tensor;

a- (2) traversing parallel data on all-order tree branches in a power grid user closed type distribution sub-database to obtain all-order tensors;

a- (3) for all the first-order tensor data obtained by the A- (2), combining vectors with the same dimensionality to obtain a plurality of second-order tensors, and thus finishing all possible data combination;

b- (1) for each second-order tensor obtained in the step A- (3), acquiring the difference of corresponding factor data in the power grid company-based pixel type distribution sub-database;

the data process of the power grid operation optimization is as follows: based on a set target, carrying out tensor linear operation on the power grid event pushing factor tensor obtained by the step B- (3) and related factor data, selecting an optimal factor data combination by comparing the obtained values, and matching power grid operation according to the factor data combination;

and the user-oriented power grid event promoting factor presentation and the power grid operation optimization are automatically executed through a local or cloud server, and the data result is automatically stored and reported through a data chart, an electronic display screen, voice broadcasting and a data mail sending mode.