CN116596121A - Information security situation awareness system of automatic system based on AI - Google Patents
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Abstract
The invention discloses an information security situation awareness system of an automatic system based on AI, which comprises an acquisition module, wherein the acquisition module is used for acquiring electricity utilization data of a user; the data transmission module is used for realizing data transmission; the processing module is connected with the acquisition module through the data transmission module, and processes the acquired user electricity data through the processing module; the situation awareness model building module is used for building a situation awareness model; the importing module is respectively connected with the processing module and the situation awareness model building module; the beneficial effects of the invention are as follows: the situation perception model is used for perceiving, perceiving the risk and exceeding a threshold value so as to give an alarm, and the alarm is transmitted to staff through the data transmission module after the alarm is given, so that the maintenance is convenient in time; the staff can know the condition at any time in the monitoring center so as to process in time.
Description
Technical Field
The invention belongs to the technical field of information security situation awareness, and particularly relates to an information security situation awareness system of an automatic system based on an AI.
Background
The test detection business of the electric power metering site and the laboratory faces the problems of low automation degree of experimental equipment, high isomerization degree of sensor transmission signals, low sharing degree of resource management, low intelligent degree and the like; the detection business is not effectively cooperated, the detection data has the problems of low acquisition efficiency, high error rate, data island and the like, the key information analysis and extraction of most test detection data still depend on manpower to a great extent, the data acquisition efficiency of test detection is low, the data dispersion degree is high, the data accuracy is difficult to ensure, and the defect of insufficient supporting force of the test detection data on the business is directly caused, for example: the test service is handed over, the test report detected by the current transformer is filled with a large amount of data, and the report is complicated; the random inspection test service has larger test data dispersion and more data sources; the data such as inspection, electrified detection, equipment operation and the like are in discrete states, the problem of repeated input exists, and the business workload is increased.
The text, image, report and other structured and unstructured data and personnel operation and equipment ledger data in the test detection business process of the electric power metering equipment contain rich information, a good data basis can be provided for the cooperation of the test detection whole business process, and the test detection text data can be converted into structured data for information mining only by text preprocessing and text representation; at present, the research on electric power texts at home and abroad is less, and the existing method has the defects of inaccurate text analysis, large information loss, incapability of meeting real-time requirements and the like; the test detection image data needs to achieve the aim of obtaining key information by means of denoising, graph segmentation, image data enhancement and the like of the obtained image data, and although the image recognition has obtained preliminary results in various application fields of an electric power system, the current research application mainly comprises classification processing of images, and the structural conversion, unified storage and information mining of the image data in the test detection data are rarely researched and applied at present.
The method has the advantages that the sensing capability of the internet of things is comprehensively improved, the electricity consumption safety management level of a customer is improved, and the potential safety hazard of the customer is reduced, so that the method is a specific practice for realizing people-centered development thought, and has important significance for the good life of service people and the development of service economy and society; from the operation environment of the electricity utilization system, various relations such as series connection, parallel connection, loop connection and the like exist among intelligent electric equipment, the membership between the electric equipment cannot be identified efficiently, accurately, automatically and simply, asset file data, line loss analysis, high-quality service and the like are directly influenced, from the electricity utilization inspection condition, the potential safety hazards of customers are not completely rectified in place, and because the potential hazards such as arc, electric leakage, temperature overrun and overload caused by the reasons of ageing and breakage of a line insulating layer, looseness of electric connection, air humidity, rapid rise of current and voltage and the like are high, the potential problems of electricity utilization protection hidden danger on the customer side are outstanding, and accidents such as electric shock, fire and explosion frequently occur, and the risk which is difficult to measure is caused on the aspects of guaranteeing the life foundation and protecting the operation safety of a power grid is caused: in the aspect of customer electricity safety monitoring, the traditional operation mode mainly comprises manual investigation, so that the requirements of increasingly hidden trouble investigation are difficult to meet, effective digital grippers are lacking, and the mining depth of the electricity consumption acquisition, marketing data and dynamic ring monitoring data of the users is insufficient; in the aspect of platform management, the development of customer electricity safety service mainly adopts manual butt joint, the efficiency is low, the service accuracy and the response speed are not high, a decision evaluation system is not established yet, the level of the perception of the internet of things is needed to be improved, the electricity safety monitoring capability of a customer side is improved, and the method becomes a subject which is important and urgently needed to be researched and solved.
An information security situation awareness system of an AI-based metering automation system with application number 201910069694.7, which discloses collecting electricity consumption of a user through a data collection module; the collected information is subjected to cleaning, fusion, clustering and feature information extraction through a big data analysis module; the artificial intelligence technology module builds an expert database from the historical data processed by the big data analysis module, and carries out artificial intelligence training and learning on the real-time characteristic information to be added into the expert database to form expert diagnosis criteria and a method; the information safety simulation test module carries out cyclic simulation test and fault injection reliability test according to diagnostic criteria and methods provided by the obtained expert database, the test result evaluates the quality risk level through the situation perception information safety evaluation module, so that the probability and risk of occurrence of the estimated and predicted fault or information safety are more accurately evaluated than that of manual observation and calculation, and the early warning module processes the result and early warns through the data display module.
The existing information security situation awareness system of the automatic system based on the AI has a blind area, is unfavorable for timely alarming and maintenance, and affects the use accuracy.
Disclosure of Invention
The invention aims to provide an information security situation awareness system of an automatic system based on AI, which improves the use accuracy and maintains timely during alarming.
In order to achieve the above purpose, the present invention provides the following technical solutions: an information security situation awareness system of an AI-based automation system includes
The acquisition module is used for acquiring electricity utilization data of a user;
the data transmission module is used for realizing data transmission;
the processing module is connected with the acquisition module through the data transmission module, and processes the acquired user electricity data through the processing module;
the situation awareness model building module is used for building a situation awareness model;
the importing module is respectively connected with the processing module and the situation awareness model building module and is used for importing the processed data into the situation awareness model for awareness;
the alarm module is respectively connected with the situation awareness model construction module and the monitoring center and is used for giving an alarm when the situation awareness model perceives the risk and exceeds a threshold value, and the alarm is transmitted to the monitoring center after the alarm.
As an preferable technical scheme of the invention, the situation awareness model construction method comprises the following steps:
collecting historical data of user power consumption data, and preprocessing the historical data;
after preprocessing, carrying out space correlation set division in consideration of historical data to obtain a plurality of space sets;
analyzing the behavior of the space set, removing irrelevant space sets, and acquiring a plurality of corresponding features;
performing feature fusion through artificial intelligence to obtain comprehensive features;
and predicting the situation of the time dependency relationship by adopting a long-short-time memory network for the comprehensive characteristics.
As a preferable technical scheme of the invention, the invention further comprises a handheld terminal connected with the monitoring center, and alarm data is transmitted to staff through the handheld terminal.
As a preferable technical scheme of the invention, the system also comprises a miniaturized integrated module, and the miniaturized integrated module is used for realizing automatic information matching of the low-voltage electric equipment and automatically forming a topological physical structure of a membership.
As a preferable technical scheme of the invention, when the electricity consumption data is processed, the generated text and image data content is identified, target detection, image segmentation and formatting feature extraction are carried out.
As a preferable technical scheme of the invention, the system also comprises an electricity safety monitoring module, and the electricity safety monitoring of a user is realized through the electricity safety monitoring module.
As a preferable technical scheme, the invention further comprises a prediction module, wherein the prediction module predicts the development trend of the power safety state according to the current power safety state and the history information; and the safety state is used for evaluating the power development trend.
As a preferable technical scheme of the invention, the invention further comprises a feedback module, and the processed data is fed back through the feedback module.
Compared with the prior art, the invention has the beneficial effects that:
1. the situation perception model is used for perceiving, perceiving the risk and exceeding a threshold value so as to give an alarm, and the alarm is transmitted to staff through the data transmission module after the alarm is given, so that the maintenance is convenient in time; the staff can know the situation at any time in the monitoring center so as to process in time;
2. predicting the development trend of the power safety state according to the current power safety state and the history information by a prediction module; the safety state is used for evaluating the power development trend;
3. and the processed data is fed back through the feedback module, so that the convenience of use is further improved.
Drawings
Fig. 1 is a system diagram of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to FIG. 1, a first embodiment of the present invention provides an information security situation awareness system of an AI-based automation system, comprising
The acquisition module is used for acquiring electricity utilization data of a user;
the data transmission module is used for realizing data transmission;
the processing module is connected with the acquisition module through the data transmission module, and processes the acquired user power consumption data through the processing module;
the situation awareness model building module is used for building a situation awareness model;
the importing module is respectively connected with the processing module and the situation awareness model building module and is used for importing the processed data into the situation awareness model for awareness;
the alarm module is respectively connected with the situation awareness model construction module and the monitoring center and is used for giving an alarm when the situation awareness model perceives the risk and exceeds a threshold value, and the alarm is transmitted to the monitoring center after the alarm.
In this embodiment, preferably, the method for constructing the situation awareness model is as follows:
collecting historical data of user power consumption data, and preprocessing the historical data;
after preprocessing, carrying out space correlation set division in consideration of historical data to obtain a plurality of space sets;
analyzing the behavior of the space set, removing irrelevant space sets, and acquiring a plurality of corresponding features;
performing feature fusion through artificial intelligence to obtain comprehensive features;
and a long-short-time memory network is adopted for the comprehensive characteristics to predict the situation of the time dependence relationship, so that the situation awareness model is quickly constructed.
Example 2
Referring to FIG. 1, a second embodiment of the present invention provides an information security situation awareness system of an AI-based automation system, comprising
The acquisition module is used for acquiring electricity utilization data of a user;
the data transmission module is used for realizing data transmission;
the processing module is connected with the acquisition module through the data transmission module, and processes the acquired user power consumption data through the processing module;
the situation awareness model building module is used for building a situation awareness model;
the importing module is respectively connected with the processing module and the situation awareness model building module and is used for importing the processed data into the situation awareness model for awareness;
the alarm module is respectively connected with the situation awareness model construction module and the monitoring center and is used for giving an alarm when the situation awareness model perceives the risk and exceeds a threshold value, and the alarm is transmitted to the monitoring center after the alarm.
In this embodiment, preferably, the method for constructing the situation awareness model is as follows:
collecting historical data of user power consumption data, and preprocessing the historical data;
after preprocessing, carrying out space correlation set division in consideration of historical data to obtain a plurality of space sets;
analyzing the behavior of the space set, removing irrelevant space sets, and acquiring a plurality of corresponding features;
performing feature fusion through artificial intelligence to obtain comprehensive features;
and a long-short-time memory network is adopted for the comprehensive characteristics to predict the situation of the time dependence relationship, so that the situation awareness model is quickly constructed.
In this embodiment, preferably, the system further includes a handheld terminal connected to the monitoring center, and the handheld terminal transmits the alarm data to the staff, so as to facilitate timely maintenance.
In this embodiment, preferably, the system further includes a miniaturized integrated module, and the miniaturized integrated module is used to automatically match information of the low-voltage electric equipment and automatically form a topological physical structure of the membership.
In this embodiment, preferably, when the electrical data is processed, the generated text and image data content is identified, target detection, image segmentation and formatted feature extraction are performed, so that the text and image data are ensured to be processed uniformly in an accurate and real-time manner in the detection process.
In this embodiment, preferably, the system further includes an electricity consumption safety monitoring module, and the electricity consumption safety monitoring module is used to realize electricity consumption safety monitoring of the user.
In this embodiment, preferably, the power safety monitoring system further includes a prediction module, and the prediction module predicts a development trend of the power safety state according to the current safety state and the history information of the power; and the safety state is used for evaluating the power development trend.
In this embodiment, preferably, the apparatus further includes a feedback module, through which the processed data is fed back.
In order to realize automatic sensing, acquisition and wide interconnection of all elements and whole process information of a metering laboratory, longitudinal through, fusion sharing and demonstration application of two-stage metering laboratory resources and data are realized through unified standardized trusted access and sharing of test detection equipment and data, construction of a full-scene visual metering intelligent laboratory is supported, automatic sensing, acquisition and wide interconnection of all elements and whole process information of the metering laboratory is realized, sensing, transmission and control of laboratory detection personnel, detection equipment, samples for inspection, laboratory environment and the like are realized, and real-time state monitoring and risk early warning of a test process are realized; the method for identifying the content and extracting the characteristics of the test detection text and the image data in the metering site and the laboratory is provided, and the structural processing of the test detection image data is realized: providing a standardized representation method for test detection equipment and data oriented to the whole life cycle, establishing a unified model and interface specification of the test detection data, and realizing unified standardized access and source-end efficient fusion of the test detection equipment and data; providing a blockchain technical architecture based on a metering test detection service scene, compiling an application scheme of open sharing of electric energy meter verification data for governments and public, realizing traceability and credibility of metering test detection whole-link data, and constructing a test detection credible sharing system; the method is characterized by providing a shared service application framework and a visual scheme for client commission, work order distribution, test detection, report approval test detection of the whole process business effect data, constructing a resource and data fusion application system technical scheme and a prototype system of a two-stage metering laboratory of a national network and provincial company, realizing wide interconnection, longitudinal penetration, fusion sharing and demonstration application of the two-stage metering laboratory resource and data, and supporting intelligent laboratory construction application.
Aiming at client-side internet of things sensing and electricity safety state monitoring and evaluation: the digital power active receiving and transmitting unit carrying the fingerprint characteristics of the electric equipment is developed, and the automatic transmission of the current fingerprints of fixed frequency type and variable frequency resonance type is realized: the current fingerprint coding technology and the modulation method thereof are provided, a transmission impedance network model of the current fingerprint is established, the automatic capturing and decoding method of the current fingerprint of the receiving end is perfected, a miniaturized integrated module with an automatic matching function is developed, and the topological physical structure of the membership is automatically formed by automatically matching information of low-voltage electric equipment;
researching a user electricity consumption safety state monitoring technology based on the measurement data of the HPLC, providing a user electricity consumption safety state monitoring scheme, providing a multi-class pattern recognition scheme of the state of the potential safety hazards based on an electrical state data characteristic extraction method, constructing a potential safety hazard typical characteristic library, and supporting customer inverted safety state assessment and early warning; the data perception method establishes the relevance between information data and electricity consumption parameters; development of a miniaturized high-precision intelligent measurement low-voltage circuit breaker realizes automatic communication, accurate measurement of electricity consumption for branch selection, on-line monitoring and misalignment replacement: developing an intelligent sensing algorithm based on electric parameter data, and establishing an electric protection information research and judgment database to realize short circuit, electric leakage, overload, overcurrent, overvoltage, undervoltage, temperature fault early warning and power grid terminal grading protection; the important customer power supply continuity monitoring model and the directional target customer high-frequency active monitoring technology are researched, and the important customer power supply continuity monitoring model and the directional measuring sensor prototype are provided: developing matching state analysis of important customer power supply equipment, constructing a heavy-fee power customer electricity utilization safety state health assessment model, and developing an important customer electricity utilization safety early warning system; forming a typical electricity safety feature library based on low-voltage users, establishing an electricity safety perception model based on multi-feature matching, and developing an intelligent electricity safety perception module for the low-voltage users: establishing a low-voltage customer electricity utilization potential safety hazard early warning algorithm and model, supporting and developing state inspection and electricity utilization safety early warning; the accurate measurement method of the dynamic contact resistance based on pulse power supply excitation is provided, and the quick assessment of the breaking capacity of the low-voltage circuit breaker based on the dynamic contact resistance is realized; the method is characterized by providing an automatic detection solution of the low-voltage circuit breaker based on remote communication and recognition fusion positioning, realizing standardization, automation and intellectualization centralized detection of the low-voltage circuit breaker, providing a comprehensive evaluation method of the electric life and the state of the miniature circuit breaker based on a plurality of characteristic quantities, providing a novel detection technical research of the characteristic parameters of the low-voltage circuit breaker, meeting the standardized management requirements of power grid companies, reducing the field service cost, providing intelligent interactive experience of electricity protection information for customers and supporting the rapid development of the energy Internet.
While embodiments of the present invention have been shown and described in detail with reference to the foregoing detailed description, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations may be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. An information security situation awareness system of an AI-based automation system, which is characterized in that: comprising
The acquisition module is used for acquiring electricity utilization data of a user;
the data transmission module is used for realizing data transmission;
the processing module is connected with the acquisition module through the data transmission module, and processes the acquired user electricity data through the processing module;
the situation awareness model building module is used for building a situation awareness model;
the importing module is respectively connected with the processing module and the situation awareness model building module and is used for importing the processed data into the situation awareness model for awareness;
the alarm module is respectively connected with the situation awareness model construction module and the monitoring center and is used for giving an alarm when the situation awareness model perceives the risk and exceeds a threshold value, and the alarm is transmitted to the monitoring center after the alarm.
2. The AI-based information security posture awareness system of an automated system of claim 1, wherein: the method for constructing the situation awareness model comprises the following steps:
collecting historical data of user power consumption data, and preprocessing the historical data;
after preprocessing, carrying out space correlation set division in consideration of historical data to obtain a plurality of space sets;
analyzing the behavior of the space set, removing irrelevant space sets, and acquiring a plurality of corresponding features;
performing feature fusion through artificial intelligence to obtain comprehensive features;
and predicting the situation of the time dependency relationship by adopting a long-short-time memory network for the comprehensive characteristics.
3. The AI-based information security posture awareness system of an automated system of claim 1, wherein: the system also comprises a handheld terminal connected with the monitoring center, and alarm data are transmitted to staff through the handheld terminal.
4. The AI-based information security posture awareness system of an automated system of claim 1, wherein: the system also comprises a miniaturized integrated module, and the miniaturized integrated module is used for realizing automatic information matching of the low-voltage electric equipment and automatically forming a topological physical structure of a membership.
5. The AI-based information security posture awareness system of an automated system of claim 1, wherein: when the electricity utilization data is processed, the generated text and image data content is identified, the target is detected, the image is segmented, and the formatted characteristic is extracted.
6. The AI-based information security posture awareness system of an automated system of claim 1, wherein: the system also comprises an electricity safety monitoring module, and the electricity safety monitoring of a user is realized through the electricity safety monitoring module.
7. The AI-based information security posture awareness system of an automated system of claim 1, wherein: the power safety state prediction module is used for predicting the development trend of the power safety state according to the current power safety state and the history information; and the safety state is used for evaluating the power development trend.
8. The AI-based information security posture awareness system of an automated system of claim 1, wherein: the system also comprises a feedback module, wherein the processed data is fed back through the feedback module.
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