CN116894064A - Intelligent integrated power-transformation auxiliary control data system and method - Google Patents

Abstract

The present invention discloses an intelligent integrated substation auxiliary control data system and method. In view of the data processing method in the traditional substation auxiliary control system based on direct comparison of sensor data and calibrated alarm thresholds, the data system is improved, and the current substation auxiliary control system is improved. The single and rigid non-interactive substation auxiliary control data system is converted into an interactive data system with multi-angle and multi-depth data mining compatibility. The present invention combines the needs of the intelligent integrated substation auxiliary control system with the big data processing platform and machine learning system for data link interaction and function-oriented evolution and iteration, and develops a basic and versatile intelligent integrated substation auxiliary control system. Control data systems and methods.

Description

An intelligent integrated substation auxiliary control data system and method

Technical field

The invention relates to the technical field of electric power intelligence and informatization, in particular to a basic data processing system and related data processing methods for intelligent integrated substation auxiliary control.

Background technique

At present, the modernization, intelligence, and information construction of substations have achieved extensive and in-depth development. Generally speaking, the auxiliary control system of smart substations is based on remote sensing equipment and intelligent processing equipment. It comprehensively adopts technical means such as power environment, image monitoring, fire protection, lighting, monitoring, early warning and control, and extensively uses automation technology and computer technology. , network communication technology, video equipment technology and comprehensive technical means based on sensing and information control to achieve online monitoring and reliable control of substation power environment, images, fire alarm, fire protection, lighting, heating and ventilation, security alarm, access control, etc. ; and interactively transmit it to the monitoring center or dispatching center of the power grid system or the corresponding cloud master control center on demand or in real time.

According to the latest development trend of smart substation auxiliary control systems, based on video image monitoring, electrical sensing, communication network and distributed control technologies, several core technology applications and integration points currently include: ① Automatic control of video image elements Identification and dynamic tracking technology, and automatically generate spatial data information flow for the tracked dynamic elements; ② High-precision sensor technology, the introduction and popularization of high-precision sensor technology enables real-time monitoring of the current, voltage, and temperature of substation equipment and other parameters are becoming more and more accurate; ③ Distributed and cloud-based communication technology, supported by technologies including the Internet of Things, 5G and other technologies, the smart substation auxiliary control system can realize remote monitoring, remote operation and remote communication between equipment, while supporting Real-time transmission and cloud storage of data; ④Visual intelligent operation and maintenance technology for power grid central control: Real-time data linking and interaction with the smart substation auxiliary control system, and forming a real-time visualization platform, which not only enables remote operation and maintenance to monitor equipment status, but also Realize automated inspection, maintenance and upkeep of substation equipment through intelligent operation and maintenance technology systems; ⑤ Data processing and analysis technology, equip the smart substation auxiliary control system with new data methods based on big data, artificial intelligence and machine learning, to monitor The acquired data is processed and analyzed to achieve real-time monitoring, prediction and fault diagnosis of equipment status.

Among them, data processing and analysis technology based on big data platforms and linked to artificial intelligence data processing systems is not only developing extremely rapidly, it has quickly become the most popular and most substantial technological improvement trend in smart substation auxiliary control systems. At the same time, It has also become an important foundation for the development and implementation of other related key technologies.

Contents of the invention

The technical problem to be solved by this invention is to combine the intelligent integrated substation auxiliary control system with the big data processing platform and machine learning system to carry out data link interaction and function-oriented evolution and iteration requirements, and is directly based on the existing intelligent integrated substation auxiliary control system. The original database is used to develop data mining algorithms to provide a basic and universal intelligent integrated substation auxiliary control data system and method.

In order to solve the above technical problems, the technical solutions adopted by the present invention are as follows.

An intelligent integrated substation auxiliary control data system. Its hardware system is configured based on multiple optional subsystems of networked information interconnection. The multiple optional subsystems generally include: network video monitoring platform subsystem , anti-theft platform subsystem, fire and firefighting platform subsystem, access control platform subsystem, and other auxiliary control integration subsystems; among them, the network video surveillance platform subsystem is a required option; among them, other auxiliary control integration subsystems are based on actual auxiliary control needs Various types of single sensing units are selected and configured. Each single sensing unit is selected/purchased from existing conventional power and electrical industry data signal sensors; for the purpose of sensing-based in traditional substation auxiliary control systems The data processing method improves the data system by directly comparing the data with the calibrated alarm threshold, and converts the existing single and rigid non-interactive substation auxiliary control data system into an interactive one with multi-angle and multi-depth data mining compatibility. data system.

As a preferred technical solution of the present invention, the data construction process includes: acquisition of basic data, sorting of exchangeable dual-ordered data, and standardization of dual-dimensional data formats.

As a preferred technical solution of the present invention, the acquisition of basic data includes: first, for the original spatial data and basic electrical signal data physically collected by hardware systems such as video systems and sensing units, maintaining the same consistency with the existing substation auxiliary control system. Consistency, allowing direct reading of the original data stored in the existing substation auxiliary control system under system improvement conditions, and direct connection to the data port of the hardware system to obtain original physical and/or spatial data under newly installed system conditions;

As a preferred technical solution of the present invention, exchangeable dual-ordered data sorting includes: after the basic data is stored, read or directly obtained, data structuring of the original data is oriented towards the interactivity and data mining compatibility of the data system. The improvement is achieved through exchangeable double-ordered data sorting.

As a preferred technical solution of the present invention, the two-dimensional data format standardization includes: the original data obtained by the substation auxiliary control data system is sorted by exchangeable double-ordered data to obtain a basic two-dimensional data array, but it is not standardized. , on each single-item extended data bit of the entity data H set in the exchangeable double-ordered data arrangement, the data extensibility of the entity data V corresponding to any of its single-item extended data bits is different. Based on the entity data V The ductile actual situation or entity data H is the spatial or physical data actuality monitored and acquired by the transformer physical object corresponding to any extended data bit under the video subsystem and each electrical sensing subsystem set up within the substation auxiliary control data system. In this case, the non-standard data array obtained after sorting the exchangeable double-ordered data is standardized in the double-dimensional data format.

As a preferred technical solution of the present invention, the exchangeable double-ordered data arrangement is specifically: ① In the form of the data structure, set two mutually orthogonal fillable and extendable empty data bits, which intersect The data bits are set to null and remain blank, and then starting from the null data bit, natural sequence numbers are filled and assigned sequentially along the two orthogonal data bit directions; in this data filling configuration, two sets of orthogonal stretchable data bits are , as long as the initially assigned sequence numbers are always followed, the data in the two orthogonal directions are compatible with the exchange of the orthogonal data bits themselves; therefore, the assignment of initial sequence numbers to the two orthogonal data is also optional; further, in this Under the initial architecture of exchangeable dual data bits, if the basic spatial and physical data of the substation auxiliary control are read from the existing substation auxiliary control system under system improvement conditions, the existing system's own data records will be used. The format can be read naturally, and the format of the existing system and its data records is not limited or preprocessed; among them, the natural sequence number is preferred but is not limited to the natural number sequence number, and other arbitrary data sequence marking symbols are allowed; for both Orthogonally extended data bits, using two different natural serial numbers, such as numerical serial numbers and alphabetical serial numbers; ② In terms of the connotation of the data structure, two mutually orthogonal extendable data bits can be interchangeably mapped to correspond to two pieces of entity data. , named as (horizontal) entity data H and (vertical) entity data V; interchangeable means that the naming, data structure form, and data structure connotation of the two are compatible and exchangeable; because the original expandable data is set are mutually orthogonal, the exchange between the two is reflected in the data configuration as a transposition exchange, which also brings compatibility and convenience to the subsequent development of data mining modules with different angles and different depths. Among them, the entity data H Corresponding to the monitoring object entity of the substation auxiliary control data system, the entity data V corresponds to the physical object corresponding to the entity data H. The space or space obtained by monitoring under the video subsystem and each electrical sensing subsystem set up inside the substation auxiliary control data system is Physical entity data.

As a preferred technical solution of the present invention, based on the connotation setting of the entity data on the orthogonal exchangeable data bits of the substation auxiliary control data system, the entity data H and the entity data V adopt the ordinal label data format and the numerical data format respectively. Excellent; among them, regarding the data phenotype and its numericalization of the vertical entity data V, based on its data connotation, the basic data originally obtained are generally directly presented as numerical data, such as temperature, pressure, current, power, etc.

As a preferred technical solution of the present invention, the standardization of the two-dimensional data format specifically includes the following data processing paradigm ①: ①-1. First, perform empirical data bit sorting and exchange based on the frequency characteristics of data extension on the entity data V Organizing; ①-2 On this basis, further based on the length characteristics of the data extension on the entity data V, and using the selected long extension as the standard to fill the blank data bits on other short extensions with multi-attribute data to obtain a standardized two-dimensional Data Format.

As a preferred technical solution of the present invention, in ①-1, in the current specific substation auxiliary control task, the corresponding substation physical object based on any extended data bit of the entity data H is internal to the substation auxiliary control data system. The actual frequency of spatial or physical data being monitored and acquired under the set video subsystem and each electrical sensing subsystem directly corresponds to the frequency characteristics of data extension on the physical data V. At this time, the backtracking is an exchangeable double assignment. During the sequential data sorting process, natural sequence numbers are filled and assigned sequentially along the direction of two orthogonal data bits, and the sequence numbers are adjusted according to the frequency. Generally, a data pattern of high-frequency words and low sequence numbers is used to perform integrated data connection of orthogonal data bits. carry exchange

As a preferred technical solution of the present invention, ①-2 includes: ①-2-1. The selection criteria of the standard extension also include: ω condition, the longest data extension means having the most non-empty data extension digits; ψ condition, the most complete data extension is to have all the data extension bits on all other entity data V; when there are multiple entity data V that satisfy the ω condition and ψ condition at the same time, they are essentially equivalent, so they are selected as extension criteria at the same time. ; When there is no entity data V that satisfies both the ω condition and the ψ condition, the closest one is selected as the extension criterion; ①-2-2 Based on the subsequent application of different possible data mining algorithms, different data filling methods are used for blank data bits. Paradigm, for this purpose is set to multi-attribute data filling. The multi-attributes include null, value 0, non-zero value, infinite value, statement-physical state description, statement-engineering or management description, letters, and other symbols; in the data table In terms of format, all blank data bits are filled with all selected multi-attribute data. In terms of data format, all selected multi-attribute data are merged into one bracket in the same order, and different attribute data are separated by commas. open.

As a preferred technical solution of the present invention, the standardization of the two-dimensional data format specifically includes data processing paradigm ②: based on the data processing essence and data processing results of the data processing paradigm ①, a dual-dimensional data format automatic standardization algorithm is developed for automatic generation.

The beneficial effect of adopting the above technical solution is that compared with the data processing method based on comparison of sensing data and calibrated alarm thresholds in traditional substation auxiliary control systems, the global, two-dimensional, normative dynamic data constructed by the present invention The model, and the dynamic database formed based on it, can adapt to the common data feature extraction and data connotation mining algorithms in big data processing platforms and machine learning, and transform the traditional single and blunt non-interactive substation auxiliary control data system into An interactive data system with multi-angle and multi-depth data mining compatibility, thereby providing a basic data mining and analysis processing method for the big data and artificial intelligence of intelligent substation auxiliary control systems, and providing a basis for intelligent and efficient operation of substations. Dimensions lay the foundation for data.

Detailed ways

In the description of the following embodiments, specific details such as specific system structures and technologies are provided for the purpose of explanation rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application may be practiced in other embodiments without 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, when used in this specification and the appended claims, the term "comprising" indicates the presence of the described features, integers, steps, operations, elements and/or components but does not exclude one or more other The presence or addition of features, integers, steps, operations, elements, components and/or collections thereof. It will also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items. As used in this specification and the appended claims, the term "if" may be interpreted as "when" or "once" or "in response to determining" or "in response to detecting" depending on the context. ". Similarly, the phrase "if determined" or "if [the described condition or event] is detected" may be interpreted, depending on the context, to mean "once determined" or "in response to a determination" or "once the [described condition or event] is detected ]" or "in response to detection of [the described condition or event]". In addition, in the description of this application and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance. Reference in 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 application. Therefore, the phrases "in one embodiment", "in some embodiments", "in other embodiments", "in other embodiments", etc. appearing in different places in this specification are not necessarily References are made to the same embodiment, but rather to "one or more but not all embodiments" unless specifically stated otherwise. The terms “including,” “includes,” “having,” and variations thereof all mean “including but not limited to,” unless otherwise specifically emphasized.

Example 1

The hardware system of the intelligent integrated substation auxiliary control system is configured based on multiple optional subsystems of networked information interconnection. The multiple optional subsystems generally include: network video monitoring platform subsystem, anti-theft platform subsystem, fire And fire protection platform subsystem, access control platform subsystem, and other auxiliary control integration subsystems; among them, the network video surveillance platform subsystem is a required option; among them, other auxiliary control integration subsystems monitor various individual sensors based on actual auxiliary control requirements. The unit is optionally configured, and each individual sensing unit is selected/purchased from existing conventional power and electrical industry data signal sensors.

Example 2

Combining the needs of the intelligent integrated substation auxiliary control system with the big data processing platform and machine learning system for data link interaction and function-oriented iteration, it is first necessary to build a data foundation based on the original database of the existing intelligent integrated substation auxiliary control system. . Specifically, for the original spatial data and basic electrical signal data physically collected by hardware systems such as video platforms and sensing units in the intelligent integrated substation auxiliary control system, we must maintain consistency with the existing substation auxiliary control system and improve the system. Under operating conditions, it is allowed to directly read the original data stored in the existing substation auxiliary control system. Under the operating conditions of the newly installed system, it is directly connected to the data port of the hardware system to obtain original physical and/or spatial data.

Example 3

On the basis of the previous embodiment, in order to improve the data system in the traditional substation auxiliary control system based on direct comparison of sensor data and calibrated alarm thresholds, the existing single and blunt non-interactive The substation auxiliary control data system is converted into an interactive data system with multi-angle and multi-depth data mining compatibility. The first step is to organize exchangeable double-ordered data: after the basic data is stored, read or directly obtained, it is oriented to The interactivity and data mining compatibility of the data system, and the improvement of the data structure of the original data, are achieved through exchangeable double-ordered data sorting. The specific arrangement of exchangeable double-ordered data is as follows: ① In the form of data structure, set two mutually orthogonal fillable and extendable empty data bits, and set the intersecting data bits to null to keep them blank, and then start from null The data bits start to be filled and assigned natural sequence numbers sequentially along the two orthogonal data bit directions; in this data filling configuration, two sets of orthogonal extendable data bits, as long as they always follow the initially assigned sequence numbers, then the two Data in the orthogonal direction are compatible with the exchange of the orthogonal data bits themselves; therefore, assigning initial sequence numbers to the two orthogonal data is also optional; further, in this initial architecture of exchangeable double data bits, if the power is changed The basic spatial and physical data of the auxiliary control are obtained from the existing substation auxiliary control system under system improvement conditions. It can be read naturally according to the data recording format of the existing system itself, and does not affect the existing system. and its data record format to limit and preprocess; among them, natural sequence numbers are preferred but are not limited to natural number sequence numbers, and other arbitrary data sequence mark symbols are allowed; for two orthogonal extended data bits, two different natural sequence numbers are used , such as numerical serial numbers and alphabetic serial numbers; ② In terms of the connotation of the data structure, two mutually orthogonal extendable data bits can be interchangeably mapped to correspond to two items of entity data, named (horizontal) entity data H and (vertical) Entity data V; interchangeable means that the naming, data structure form, and data structure connotation of the two are compatible and exchangeable; since the original expandable data is set to be orthogonal to each other, the exchange of the two is in the data configuration The above is reflected as transposition exchange, which also brings compatibility and convenience to the subsequent development of data mining modules with different angles and different depths. Among them, the entity data H corresponds to the monitoring object entity of the strain relief auxiliary control data system. The entity data The physical object corresponding to V corresponds to the entity data H. The spatial or physical entity data is monitored and acquired under the video subsystem and each electrical sensing subsystem set up within the substation auxiliary control data system. Based on the connotation setting of entity data on orthogonal exchangeable data bits of the substation auxiliary control data system, it is optimal for entity data H and entity data V to adopt ordinal label data format and numerical data format respectively; among them, regarding vertical entity data V's data phenotype and its numericalization, based on its data connotation, generally the original acquired basic data are directly presented as numerical data, such as temperature, pressure, current, power, etc. In addition, regarding the data phenotype and numericization of the vertical entity data V, for some special switch data, the 0-1 assignment method or the 0-∞ assignment method is used to convert the data to obtain the numerical data format, or directly use other Non-numeric data of itself. At this stage, please pay attention to additional manual marking to prevent back-checking after the data is executed incorrectly.

Example 4

In order to directly connect with the big data platform and the existing open source artificial intelligence training system, further data standardization is required to form a basic and universal intelligent integrated substation auxiliary control data system. Specifically, the data processing method in the aforementioned embodiments and the monitoring data characteristics of the intelligent substation auxiliary control system are combined to standardize the data format in two dimensions. The original data obtained by the substation auxiliary control data system is sorted by exchangeable double-ordered data to obtain a basic two-dimensional data array, but it is not standardized. The entity data H set in the exchangeable double-ordered data sorting is On each single extended data bit, the data extensibility of the entity data V corresponding to any single extended data bit is different, based on the actual ductility of the entity data V or the corresponding strain on any extended data bit of the entity data H. The actual spatial or physical data of electrophysical objects being monitored and acquired under the video subsystem and each electrical sensing subsystem set up in the substation auxiliary control data system, and the non-standard data array obtained after sorting the exchangeable double-ordered data is processed. Normalization of two-dimensional data formats.

The standardization of dual-dimensional data format specifically includes the following data processing paradigm①: ①-1. First, empirical data bit sorting and exchange is performed based on the frequency characteristics of data extension on the entity data V; ①-2 On this basis, further based on the entity The length characteristics of the data extension on data V are used, and the blank data bits on other short extensions are filled with multi-attribute data based on the selected long extension to obtain a standardized two-dimensional data format. Among them, in ①-1, in the current specific substation auxiliary control task, based on the corresponding substation physical object on any extended data bit of the entity data H, the video subsystem and each electrical subsystem are set inside the substation auxiliary control data system. The actual frequency of occurrence of spatial or physical data monitored and acquired under the sensing subsystem directly corresponds to the frequency characteristics of data extension on the physical data V. At this time, the backtracking of the exchangeable double-ordered data sorting process along the two positive The natural sequence numbers are filled and assigned sequentially in the direction of the orthogonal data bits, and the sequence numbers are adjusted according to the frequency. Generally, the data mode of high-frequency words and low sequence numbers is used to perform integrated data connection exchange of orthogonal data bits; among them, ①-2 Medium: ①-2-1, the selection criteria for standard extension also include: ω condition, the longest data extension means having the most non-empty data extension digits; ψ condition, the most complete data extension means having all other entity data All data extension bits on V; when there are multiple entity data V that satisfy both the ω and ψ conditions at the same time, they are essentially equivalent, so they are selected as extension criteria at the same time; when there is no entity that satisfies both the ω and ψ conditions at the same time When the data is V, the closest one is selected as the extension standard; ①-2-2 Based on the subsequent application of different possible data mining algorithms, the data filling of blank data bits adopts different paradigms. For this purpose, it is set to multi-attribute data filling. Attributes include null, value 0, non-zero value, infinite value, statement-physical state description, statement-engineering or management description, letters, and other symbols; in the data form, all blank data bits use all selected multi-attribute data To fill in, in terms of data format, all selected multi-attribute data are merged into one bracket in the same order, and different attribute data are separated by commas.

Example 5

Standardized data processing paradigm for dual-dimensional data format ②: Based on the data processing essence and data processing results of data processing paradigm ①, an automatic standardization algorithm for dual-dimensional data format is developed for automatic generation. The ② data processing paradigm is automatically generated based on the development algorithm of data processing paradigm ①. It specifically includes two aspects. ②-1. Examine the data processing essence of data processing paradigm ①. It uses the upper left corner of the two-dimensional data array to accommodate the largest data based on the real original The rectangular sub-data array of the data is the first specification, and the remaining data bits are filled with multi-attribute data under a unified standard for the blank data bits; ②-②, based on the essence of the above data specifications, develop data algorithms for automated data normalization processing.

Example 6

In this study, under the requirement of data link interaction and evolution iteration between the intelligent integrated substation auxiliary control system and the big data processing platform and machine learning system, a data mining algorithm was carried out based on the original database of the existing intelligent integrated substation auxiliary control system. Compared with the data processing method based on the comparison of sensor data and calibrated alarm thresholds in traditional substation auxiliary control systems, the global, two-dimensional, normative dynamic data model constructed in this study is formed based on this. The dynamic database can adapt to common data feature extraction and data connotation mining algorithms in big data processing platforms and machine learning, transforming the traditional single and blunt non-interactive substation auxiliary control data system into an interactive and multi-angle and multi-dimensional Deep data mining compatibility data system, thereby providing a basic data mining and analysis processing method for the big data and artificial intelligence of intelligent substation auxiliary control system. For example, based on the big data processing platform, by constructing the determinant absolute value parameters of the two-dimensional normalized data array or its specific subarray (under the model we constructed, it is generally the rectangular subarray data concentrated in the upper left corner area), and the The local dynamic database under a single substation auxiliary control monitoring operation performs internal correlation analysis at any time; based on the accumulation of large-scale past data of substations over months or years and the fault characteristic database under each data, the above-mentioned absolute determinant-based Machine learning neural network training is carried out based on the value-related parameter system. As long as the data accuracy and data volume are high enough, artificial intelligence collaborative substation system fault automatic monitoring based on the above-mentioned related data parameters can be realized.

In the above embodiments, each embodiment is described with its own emphasis. For parts that are not detailed or documented in a certain embodiment, please refer to the relevant descriptions of other embodiments.

In various embodiments, the hardware implementation of the technology can directly use existing smart devices, including but not limited to industrial computers, PCs, smart phones, handheld stand-alone machines, floor-standing stand-alone machines, etc. Its input device preferably uses an on-screen keyboard, its data storage and calculation module uses existing memories, calculators, and controllers, its internal communication module uses existing communication ports and protocols, and its remote communication uses existing GPRS networks and Wanwan. Dimensional Internet, etc. Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above functional units and modules is used as an example. In actual applications, the above functions can be allocated to different functional units and modules according to needs. Module completion means dividing the internal structure of the device into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be hardware-based. It can also be implemented in the form of software functional units. In addition, the specific names of each functional unit and module are only for the convenience of distinguishing each other and are not used to limit the scope of protection of the present application. For the specific working processes of the units and modules in the above system, please refer to the corresponding processes in the foregoing method embodiments, and will not be described again here. In the embodiments provided by the present invention, it should be understood that the disclosed apparatus/terminal equipment and methods can be implemented in other ways. For example, the apparatus/terminal equipment embodiments described above are only illustrative. For example, the division of modules or units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components. can be combined or can be integrated into another system, or some features can be ignored, or not implemented. On the other hand, the coupling or direct coupling or communication connection between each other shown or discussed may be through some interfaces, indirect coupling or communication connection of devices or units, which may be in electrical, mechanical or other forms. A unit described as a separate component may or may not be physically separate. A component shown as a unit may or may not be a physical unit, that is, it may be located in one place, or it may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Each functional unit in various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated units can be implemented in the form of hardware or software functional units. Integrated modules/units may be stored in a computer-readable storage medium if implemented in the form of software functional units and sold or used as independent products. Based on this understanding, the present invention can implement all or part of the processes in the methods of the above embodiments, and can also be completed by instructing relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can be stored in a computer-readable storage medium. When executed by the processor, the steps of each of the above method embodiments can be implemented. . Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file or some intermediate form, etc. Computer-readable media may include: any entity or device that can carry computer program code, recording media, USB flash drives, mobile hard drives, magnetic disks, optical disks, computer memory, read-only memory (Read-Only Memory, ROM), random access Memory (Random Access Memory, RAM), electrical carrier signals, telecommunications signals, and software distribution media, etc.

The above embodiments are only used to illustrate the technical solutions of the present invention, but not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions of the foregoing embodiments. Modifications are made to the recorded technical solutions, or equivalent substitutions are made to some of the technical features; however, these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of each embodiment of the present invention, and should all be included in the present invention. within the scope of protection.

Claims (8)

1. An intelligent integrated power transformation auxiliary control data system, wherein a hardware system carries out configuration and configuration based on a plurality of optional subsystems interconnected by networking information, and the plurality of optional subsystems conventionally comprise: the system comprises a network video monitoring platform subsystem, an anti-theft platform subsystem, a fire disaster and fire fighting platform subsystem, an access control platform subsystem and other auxiliary control integrated subsystems; the network video monitoring platform subsystem is a necessary option; the other auxiliary control integrated subsystems carry out selective configuration on various monomer sensing units according to actual auxiliary control requirements, and the monomer sensing units are selected from/purchased from the existing conventional power and electrical industry data signal sensors; the method is characterized in that: aiming at the improvement of a data system in a data processing mode of directly comparing the sensing data with the calibration alarm threshold in the traditional power-transformation auxiliary control system, the existing single and hard non-interactive power-transformation auxiliary control data system is converted into an interactive data system with multi-angle and multi-depth data mining compatibility.

2. An intelligently integrated power-conversion auxiliary control data system according to claim 1, characterized in that: the data construction process comprises the following steps:

basic data acquisition: firstly, maintaining the consistency with the existing power-transformation auxiliary control system for the original space data and basic electric signal data physically acquired by hardware systems such as a video system, a sensing unit and the like, allowing the original data stored by the existing power-transformation auxiliary control system to be directly read under the working condition of system improvement, and directly linking the data port of the hardware system under the working condition of a newly installed system to obtain the original physical and/or space data;

exchangeable dual ordered data arrangement: after the storage and reading or the direct acquisition of the basic data, the data configuration of the original data is improved by aiming at the interactivity and the data mining compatibility of a data system, and the data configuration is realized by the arrangement of exchangeable double-assigned data;

two-dimensional data format normalization: the original data acquired by the power transformation auxiliary control data system is subjected to exchangeable double-order data arrangement to obtain a basic two-dimensional data array, but the basic two-dimensional data array is not standard, the data extensibility of the entity data V corresponding to any single extension data bit of the entity data H set in the exchangeable double-order data arrangement is different on each single extension data bit of the entity data H, and the non-standard data array obtained after the exchangeable double-order data arrangement is subjected to standardization of a two-dimensional data format based on the actual situation of the extensibility of the entity data V or the actual situation of the space or physical data acquired by monitoring the video subsystem and each electrical sensing subsystem arranged in the power transformation auxiliary control data system.

3. An intelligently integrated power-conversion auxiliary control data system according to claim 2, characterized in that: the exchangeable double assigned data arrangement specifically comprises:

(1) in the form of a data structure, setting two mutually orthogonal fillable and extensible empty data bits, setting the intersecting data bits as null to be blank, and then sequentially filling and giving natural sequence numbers along the two orthogonal data bit directions from the null data bit; in this data filling configuration, two sets of orthogonal extensible data bits are compatible to be exchanged along with the orthogonal data bits as long as the data in the two orthogonal directions are always in accordance with the sequence number originally given; the initial sequence number assignment for two orthogonal data is therefore also optional; further, under the exchangeable dual data bit initial architecture, if the basic space of the power transformation auxiliary control and the physical data are obtained by reading from the existing power transformation auxiliary control system under the improved working condition of the system, the data are naturally read according to the data record format of the existing system, and the formats of the existing system and the data record are not limited and preprocessed; the natural sequence number is preferred, but is not limited to a natural sequence number, and any other data sequence is allowed to be adopted for marking the symbol; for two orthogonal extension data bits, two different natural sequence numbers are adopted, namely a digital sequence number and a letter sequence number;

(2) in the meaning of the data structure, two mutually orthogonal extensible data bits are interchangeably mapped to corresponding two items of entity data respectively, and are named as (horizontal) entity data H and (vertical) entity data V; exchangeable means that the naming of the two, the form of the data structure and the connotation of the data structure are compatible and mutually exchanged; because the original expandable data are set to be mutually orthogonal, the exchange of the two data is represented as transposed exchange on a data configuration, and compatibility and convenience are brought to the subsequent development of data mining modules with different angles and different depths, wherein the entity data H corresponds to a monitoring object entity of the power conversion auxiliary control data system, and the entity data V corresponds to space or physical entity data obtained by monitoring a physical object corresponding to the entity data H under a video subsystem and each electric sensing subsystem arranged in the power conversion auxiliary control data system.

4. An intelligently integrated power-conversion auxiliary control data system according to claim 3, characterized in that: based on connotation setting of entity data on orthogonal exchangeable data bits of the power-transformation auxiliary control data system, the entity data H and the entity data V are respectively in an ordinal number data format and a numerical data format, and are optimal; the data phenotype and the numerical value of the vertical entity data V are directly presented as numerical data, such as temperature, pressure, current, power and the like, based on the data connotation of the data.

5. An intelligently integrated power-conversion auxiliary control data system according to claim 2, characterized in that: the standardization of the two-dimensional data format specifically comprises the following data processing formula (1): (1) firstly, performing empirical data bit ordering, exchanging and sorting based on the frequency characteristic of data extension on the entity data V; (1) -2 based on this further the length characteristics of the data extensions on the physical data V and multi-attribute data filling of the blank data bits on the other short extensions with the selected long extensions as standard, resulting in a normalized two-dimensional data format.

6. The intelligently integrated power-conversion auxiliary control data system according to claim 5, wherein: (1) in the process of carrying out the current specific power transformation auxiliary control task, the sequence number adjustment is carried out according to the frequency, and the integrated data carrying exchange of orthogonal data bits is generally carried out by adopting a data mode of high-frequency words and low sequence numbers.

7. The intelligently integrated power-conversion auxiliary control data system according to claim 5, wherein: (1) -2 comprises:

(1) -2-1, the selected criteria for standard extensibility simultaneously comprising: omega, the longest data expansion degree is the number of non-empty data expansion bits; the psi condition, namely the most complete data extension degree is provided with all data extension bits on all other entity data V; when there are a plurality of entity data V satisfying ω and ψ conditions at the same time, they are substantially equivalent, and thus are simultaneously selected as extension criteria; when the entity data V which simultaneously meets the omega condition and the psi condition does not exist, selecting the closest one as an extension standard;

(1) 2-2, based on the application of the following different possible data mining algorithms, the data population of the blank data bits adopts different norms, for which purpose is set to multi-attribute data population, the multi-attribute comprising null, value 0, non-zero value, infinite value, statement-physical state description, statement-engineering or management description, letters, other symbols; all blank data bits are filled with all selected multi-attribute data in the data phenotype, all the selected multi-attribute data are sequentially combined into a bracket according to the same sequence in the data format, and the different attribute data are separated by commas.

8. A single item data configuration and local or global number dynamic database obtained by the configuration of the single item data configuration and the local or global number dynamic database which is suitable for an intelligent integrated power transformation auxiliary control system, which is characterized in that: the data attribute with the global, bi-dimensional and normative property is constructed by adopting the technical means of the claims 2-7, wherein a dynamic data configuration stream is constructed based on the time sequence variation of single data configuration, a local dynamic database is constructed based on single power transformation auxiliary control monitoring operation and the related monitoring data set, and a global database is constructed based on each local dynamic database.