CN113177779B - Power grid intelligent monitoring and auditing platform for safety enhancement through data desensitization and application thereof - Google Patents
Power grid intelligent monitoring and auditing platform for safety enhancement through data desensitization and application thereof Download PDFInfo
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Abstract
The invention discloses a power grid intelligent monitoring audit platform for safety enhancement through data desensitization and application thereof.
Description
Technical Field
The invention relates to the technical field of electric power energy, in particular to a safety-enhanced intelligent monitoring and auditing platform for a power grid and application thereof.
Background
The north-south river network has 18 thousands of special change users, and nearly 96% of special change users have energy consumption data which are manually collected, so that the efficiency is low and the accuracy is not high. Meanwhile, the objective data have great potential value to be mined. For example, the conditions of stealing production and stealing production of enterprises in the atmospheric pollution prevention period often occur, and law enforcement departments are difficult to accurately control and even cause the power grid enterprises to face the risk of pursuing responsibility of administrative departments. For another example, an optimal scheme is provided based on power consumption optimization, so that the cost reduction requirements of enterprises are met, and the optimal scheme is difficult to implement at present. Based on the current situation, according to the knowledge and deployment of national network companies, the intelligent monitoring and auditing service, which is power distribution operation monitoring data operation service, is specially established, and the method strives to provide valuable special data service and supervision service for various target customer groups including parks, governments, enterprises, schools, hospitals, commercial complexes and the like through big data and analysis technology of power energy consumption information.
Disclosure of Invention
The invention aims to provide a power grid intelligent monitoring and auditing platform for safety enhancement through data desensitization and application thereof.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows.
The intelligent monitoring and auditing platform of the power grid performs security enhancement through data desensitization, comprises an object database module based on power energy consumption data of a special transformer user, an application server module capable of performing corresponding data processing according to monitoring requirements to realize different application functions, and a human-computer interaction and comprehensive display module; the intelligent supervision platform performs data desensitization processing according to a rule standard or a field standard set by a monitoring project through a data desensitization server, realizes the internal and external network safety interaction of analysis result data, and is fully compatible with the visual display and monitoring early warning of a web port, a WeChat port, a pc port and a mobile port;
the data desensitization server comprises a multi-level data desensitization structure and a multi-layer data desensitization structure, and is compatible with cross application of desensitization of different layers of data on the basis of multi-level data desensitization according to data disclosure requirements of monitoring projects;
A. the multi-level data desensitization:
the first level is set to screen and intercept the global data of the database for the client side of the object database module;
the second level internally comprises a plurality of parallel levels which are set to screen and intercept any one group or a plurality of groups of data processed by different sub-module levels in the application server module; the internal part series of the second level is directly related to the hierarchical construction of the sub-modules in the application server module, so that the multilevel data desensitization with the internal structure is formed;
the internal grading of the second level at least comprises a data summarization construction sub-level, a big data modeling configuration sub-level, an application-oriented energy-consumption data mining sub-level and a data mining image-text report display sub-level; in the data desensitization process, any or a plurality of sub-levels are selected for screening and intercepting data;
B. the multi-layer data desensitization:
the method comprises a strong desensitization processing and weak desensitization processing two-layer processing model, wherein the strong desensitization processing carries out bottom layer deletion, abandonment and hiding processing on sensitive data; the weak desensitization processing adopts sensitive data, and deletes, discards, hides or replaces sensitive fields of the sensitive data.
As a preferred technical scheme of the invention, the object database module is used for collecting the electricity energy consumption data of the special transformer user by the intelligent supervision platform through the electricity business application client of the power grid company, and constructing a client side energy consumption database as a basic data support for monitoring and analyzing application; the application server module calls an energy consumption database of a client side, sets a multi-level sub-server for electricity consumption data monitoring, electricity consumption abnormity warning, peer-to-peer comparison analysis and energy consumption analysis diagnosis, and has an expandable port to be compatible with the updating of application requirements; the man-machine interaction and comprehensive display module is at least compatible with a web port, a WeChat port, a pc port and a mobile port.
As a preferred technical scheme of the invention, the application server module at least comprises a data summarization construction sub-module, a big data modeling configuration sub-module, an application-oriented energy-consumption data mining sub-module and a data mining image-text report display sub-module which are used for sequentially performing data presentation; and the application server module constructs a global or local data smooth closed loop based on the configuration of the sub-modules: the application-oriented energy consumption data mining submodule directly acquires application requirements transmitted by the multi-level sub-server for power consumption data monitoring, power consumption abnormity warning, peer-to-peer comparison analysis and energy consumption analysis diagnosis, and forms data mining and analysis application orientation; bidirectional data interaction exists between the big data modeling configuration submodule and the application-oriented energy-using data mining submodule, and the application-oriented energy-using data mining submodule refers to a data model from the big data modeling configuration submodule to perform data mining and processing; after an application guide type energy consumption data mining submodule acquires application requirements transmitted by a power consumption data monitoring, power consumption abnormity warning, same-row comparison analysis and energy consumption analysis diagnosis multi-stage sub-server and forms application guide as a basic instruction of row data mining analysis, reverse data feedback presentation is carried out on a big data modeling configuration submodule at the same time to form a feedback data closed loop, and the smooth construction of a local data processing closed loop guided by the application requirements is realized; and the local data processing closed loop is constructed smoothly to the global for expansion according to the requirement;
the first expansion mode is as follows: the application-oriented energy-using data mining submodule directly submits the data summarizing and constructing submodule or indirectly submits the data to the data summarizing and constructing submodule through a big data modeling and constructing submodule, so that the smooth closed-loop expansion of local data of the application server module is realized;
the second expansion mode is as follows: the application-oriented energy-using data mining submodule receives data presentation from the data mining image-text report display submodule through manual or program setting, and then directly carries out reverse data presentation on the data summarizing and constructing submodule or indirectly carries out reverse data presentation on the data summarizing and constructing submodule through the big data modeling and configuring submodule, so that the global expansion of the smooth closed loop of the local data of the application server module is realized.
As a preferred technical scheme of the invention, the screening and intercepting operation comprises a rule mode and/or a field mode.
As a preferred technical scheme of the invention, the cross application of desensitization to different layer data is compatible on the basis of multi-level data desensitization, and the level is set as follows: screening and intercepting a rule mode or a field mode for client side use-capable database global data of the object database module; the layer set is: and carrying out bottom layer deletion, abandonment and hiding treatment on the sensitive data.
As a preferred technical scheme of the invention, the cross application of desensitization to different layer data is compatible on the basis of multi-level data desensitization, and the level is set as follows: selecting any or a plurality of sub-levels for data summarization construction sub-level, big data modeling configuration sub-level, application-oriented energy-consumption data mining sub-level and data mining image-text report display sub-level to screen and intercept data; the layer set is: and carrying out bottom layer deletion, abandonment and hiding treatment on the sensitive data.
As a preferred technical scheme of the invention, the cross application of desensitization to different layer data is compatible on the basis of multi-level data desensitization, and the level is set as follows: screening and intercepting a rule mode or a field mode for client side use-capable database global data of the object database module; the layer set is: adopting the sensitive data, and deleting, discarding, hiding or replacing the sensitive field of the sensitive data.
As a preferred technical scheme of the invention, the cross application of desensitization to different layer data is compatible on the basis of multi-level data desensitization, and the level is set as follows: selecting any or a plurality of sub-levels for data summarization construction sub-level, big data modeling configuration sub-level, application-oriented energy-consumption data mining sub-level and data mining image-text report display sub-level to screen and intercept data; the layer set is: adopting the sensitive data, and deleting, discarding, hiding or replacing the sensitive field of the sensitive data.
As a preferred technical scheme of the invention, any or a plurality of sub-levels are selected for data summarization construction sub-level, big data modeling configuration sub-level, application-oriented energy-using data mining sub-level and data mining image-text report display sub-level for data screening and interception, wherein the sub-levels are determined according to the following steps: A. monitoring the disclosure requirement of the target; B. the monitoring disclosure requires mapping overlap at different word levels, and the sub-level or sub-levels with the highest mapping overlap are selected as the selected sub-levels.
As a preferred technical solution of the present invention, the method for calculating the mapping overlapping degree comprises: the number of rule numbers/fields that can be applied to the data properties of the sub-levels and the number of rule numbers/fields that are set by the disclosure requirements of the monitoring target constitute a general mapping overlap degree.
As a preferred technical solution of the present invention, the method for calculating the mapping overlapping degree comprises: and based on the data property of the sub-level, the number of the rule/field which can be applied to the sub-level and the number of the rule/field which is set by the disclosure requirement of the monitoring target are overlapped, and the overlapped numbers are weighted and summed according to the weight of the rule/field to form the accurate mapping overlapping degree.
Adopt the produced beneficial effect of above-mentioned technical scheme to lie in: the application server module of the invention is provided with a global or local data smooth closed loop, and local/global feedback loop improvement is carried out on single one-way sequential data presentation, so that the data processing method can be adjusted more according to the purpose of data processing. In general, data interaction processing often only generates strong association in a local degree, so that local expansion of a data feedback adjustment closed loop is designed in an emphatic manner, namely data are added to a certain local data link and returned to form a data loop; moreover, we further globally extend such looping operations, so that the whole data processing achieves qualitative improvement. Particularly, in the later stage, the designed data sub-model and the processing method are introduced into TensorFlow, and the high artificial intelligence of the whole data monitoring service is realized on the basis of feeding of a large enough amount of electric power data through machine learning of a neural network.
The data desensitization server comprises a multi-level data desensitization structure and a multi-layer data desensitization structure, wherein the first level of the multi-level data desensitization is set to screen and intercept global data of an energy database at a client side of an object database module; the second level internally comprises a plurality of parallel levels which are set to screen and intercept any one group or a plurality of groups of data processed by different sub-module levels in the application server module; the multi-layer data desensitization comprises a strong desensitization processing and weak desensitization processing two-layer processing model, wherein the strong desensitization processing carries out bottom layer deletion, abandonment and hiding processing on sensitive data; the weak desensitization processing adopts sensitive data, and deletes, discards, hides or replaces sensitive fields of the sensitive data; the invention is compatible with the cross application of desensitization to different layer data on the basis of multi-level data desensitization, the arrangement simultaneously ensures the safety of data on depth (multi-level) and breadth (level), and simultaneously has outstanding technical effects on two aspects, firstly, a great degree of freedom is generated by the cooperation of multi-level and multi-layer to see an adjustable space, and a sufficiently detailed data desensitization rule can be formulated and adjusted according to the specific direction of monitoring service or the specific time requirement of a target group, so compared with a single data rule in the prior art, the invention has incomparable progress significance, thereby further releasing the deep potential of electric power energy utilization data, effectively utilizing the data which cannot be utilized before the safety consideration through proper data desensitization, and greatly improving the data service capability and data value; in the second aspect, the data security requirements of different depths and widths are met by the multi-layer and multi-level matching modes, and the data utilization value is improved and the accuracy of the data security is improved unprecedentedly.
The invention selects any or a plurality of sub-levels for data screening and interception for a data summarization construction sub-level, a big data modeling configuration sub-level, an application-oriented energy-using data mining sub-level and a data mining image-text report display sub-level, wherein the sub-levels are determined according to the following steps: A. monitoring the disclosure requirement of the target; B. the monitoring disclosure requires mapping overlap at different word levels, and the sub-level or sub-levels with the highest mapping overlap are selected as the selected sub-levels. The innovative design makes a great contribution to improving the performability of data processing and the integrity of a data processing system on the premise of not damaging the overall consistency of the electric energy data.
The invention develops a brand-new mapping overlapping degree calculation method, and the level is based on the data property of the sub-level, and the overlapping number of the rule number/field number which can be applied to the level and the rule number/field number set by the public requirement of the monitoring target forms the common mapping overlapping degree; furthermore, the invention carries out weighted summation on the number of overlaps by the weight based on the rule/field to form the accurate mapping overlap degree, and the establishment of the accurate mapping overlap degree plays a great role in improving the data processing result and the intelligent monitoring service quality, but the consumed computing power is kept trace, thereby being very beneficial in practical application.
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 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 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 or implying relative 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 expressly specified otherwise
Embodiment 1 Intelligent audit platform
The intelligent supervision platform comprises an object database module based on the power consumption data of the special transformer user, an application server module capable of performing corresponding data processing according to monitoring requirements to realize different application functions, a man-machine interaction and comprehensive display module, a data desensitization module and a data review and isolation module to realize the internal and external network safety interaction of analysis result data; the human-computer interaction and comprehensive display module is at least compatible with the web port, the WeChat port, the pc port and the mobile port, and data backstage of different ports are communicated in a connected mode.
Example 2 object database
The object database module is used for acquiring the electricity energy consumption data of the special transformer users by the intelligent supervision platform through the electricity business application client of the power grid company, and constructing a client side energy consumption database as a basic data support for monitoring and analyzing application; the data marking distinction does not change the essential properties of the data, and the non-differential real-time on-demand merging and processing of the data is realized when global analysis is needed according to the self characteristics of the application direction.
Embodiment 3 application Server
The application server module calls an energy consumption database of the client side, sets a multi-level sub-server for electricity consumption data monitoring, electricity consumption abnormity warning, peer-to-peer comparison analysis and energy consumption analysis and diagnosis, and has an expandable port to be compatible with the updating of application requirements. The application server module at least comprises a data summarization construction sub-module, a big data modeling configuration sub-module, an application-oriented energy-consumption data mining sub-module and a data mining image-text report display sub-module which are used for data presentation in sequence.
The application server module sets a global or local data smooth closed loop: the application-oriented energy consumption data mining submodule directly acquires application requirements transmitted by the multi-level sub-server for power consumption data monitoring, power consumption abnormity warning, peer-to-peer comparison analysis and energy consumption analysis diagnosis, and forms data mining and analysis application orientation; bidirectional data interaction exists between the big data modeling configuration submodule and the application-oriented energy-using data mining submodule, and the application-oriented energy-using data mining submodule refers to a data model from the big data modeling configuration submodule to perform data mining and processing; after an application guide type energy consumption data mining submodule acquires application requirements transmitted by a power consumption data monitoring, power consumption abnormity warning, same-row comparison analysis and energy consumption analysis diagnosis multi-stage sub-server and forms application guide as a basic instruction of row data mining analysis, reverse data feedback presentation is carried out on a big data modeling configuration submodule at the same time to form a feedback data closed loop, and the smooth construction of a local data processing closed loop guided by the application requirements is realized; and the local data processing closed loop is constructed smoothly to the global for expansion according to the requirement;
bidirectional data interaction exists between the big data modeling configuration submodule and the application-oriented energy consumption data mining submodule, and forward data are presented to form a data stream from the big data modeling configuration submodule to the application-oriented energy consumption data mining submodule; the reverse data feedback presents to form a data flow from the application-oriented energy-using data mining submodule to the big data modeling configuration submodule; and on the basis of forward data presentation, backward data feedback presentation is compatible at the same time to form an adaptive data closed loop.
Example 4 application service local area extensions
The application-oriented energy-using data mining submodule directly submits the data summarizing and constructing submodule or indirectly submits the data to the data summarizing and constructing submodule through the big data modeling and constructing submodule, and therefore smooth closed-loop expansion of local data of the application server module is achieved.
Embodiment 5 application service Global extensions
The application-oriented energy-using data mining submodule receives data presentation from the data mining image-text report display submodule through manual or program setting, and then directly carries out reverse data presentation on the data summarizing and constructing submodule or indirectly carries out reverse data presentation on the data summarizing and constructing submodule through the big data modeling and configuring submodule, so that the global expansion of the smooth closed loop of the local data of the application server module is realized.
Example 6 Multi-level Multi-layer data desensitization
The data desensitization server comprises a multi-level data desensitization structure and a multi-layer data desensitization structure, and is compatible with cross application of desensitization of different layer data on the basis of multi-level data desensitization according to data disclosure requirements of monitoring items.
Example 7 Multi-level data desensitization
The first level is set to screen and intercept the global data of the database for the client side of the object database module; the second level internally comprises a plurality of parallel levels which are set to screen and intercept any one group or a plurality of groups of data processed by different sub-module levels in the application server module; the internal part series of the second level is directly related to the hierarchical construction of the sub-modules in the application server module, so that the multilevel data desensitization with the internal structure is formed; the internal grading of the second level at least comprises a data summarization construction sub-level, a big data modeling configuration sub-level, an application-oriented energy-consumption data mining sub-level and a data mining image-text report display sub-level; in the data desensitization process, any or a plurality of sub-levels are selected for screening and intercepting data;
example 8 Multi-layer data desensitization
The multi-layer data desensitization comprises two layers of processing models of strong desensitization processing and weak desensitization processing, wherein the strong desensitization processing carries out bottom layer deletion, abandonment and hiding processing on sensitive data; the weak desensitization processing adopts sensitive data, and deletes, discards, hides or replaces sensitive fields of the sensitive data.
EXAMPLE 9 multilayer + multistage combination
The combination is compatible with cross application of desensitization of different layer data on the basis of multi-level data desensitization, and the level is set as follows: screening and intercepting a rule mode or a field mode for client side use-capable database global data of the object database module; the layer set is: and carrying out bottom layer deletion, abandonment and hiding treatment on the sensitive data.
The combination II is compatible with the cross application of desensitization of different layer data on the basis of multi-level data desensitization, and the level is set as follows: selecting any or a plurality of sub-levels for data summarization construction sub-level, big data modeling configuration sub-level, application-oriented energy-consumption data mining sub-level and data mining image-text report display sub-level to screen and intercept data; the layer set is: and carrying out bottom layer deletion, abandonment and hiding treatment on the sensitive data.
Combination III is compatible with cross application of desensitization of different layer data on the basis of multi-level data desensitization, and the level is set as: screening and intercepting a rule mode or a field mode for client side use-capable database global data of the object database module; the layer set is: adopting the sensitive data, and deleting, discarding, hiding or replacing the sensitive field of the sensitive data.
And the combination (IV) is compatible with the cross application of desensitization of different layer data on the basis of multi-level data desensitization, and the level is set as: selecting any or a plurality of sub-levels for data summarization construction sub-level, big data modeling configuration sub-level, application-oriented energy-consumption data mining sub-level and data mining image-text report display sub-level to screen and intercept data; the layer set is: adopting the sensitive data, and deleting, discarding, hiding or replacing the sensitive field of the sensitive data.
Other combinations or refinements are carried out, and the adjustment is carried out according to the requirements.
Example 10 sub-level selection policy
Selecting any or a plurality of sub-levels for data summarization construction sub-level, big data modeling configuration sub-level, application-oriented energy-using data mining sub-level and data mining image-text report display sub-level to screen and intercept data, wherein the determining basis of the sub-levels comprises: A. monitoring the disclosure requirement of the target; B. the monitoring disclosure requires mapping overlap at different word levels, and the sub-level or sub-levels with the highest mapping overlap are selected as the selected sub-levels.
Example 11 accurate calculation of the degree of map overlap
The calculation of the degree of overlap of the fire is based on the data property of the sub-level, the number of rule/field that can be applied thereto and the number of rule/field that the disclosure requirement of the monitoring target sets up the number of overlap of the number of rules/field, constitute the general degree of overlap of the mapping, further, based on the data property of the sub-level, the number of rule/field that can be applied thereto and the number of rule/field that the disclosure requirement of the monitoring target sets up the number of overlap, and carry on the weighted sum to the number of overlap according to the weight of the rule/field, constitute the degree of overlap of the accurate mapping. In practice, the weighted accurate mapping overlap is adopted as much as possible.
Example 12 screening and interception strategy
The screening and intercepting operations include a rule mode and/or a field mode.
Example 13 application example
The northern circular economy demonstration park is located in the Hebei Dingzhou city, occupies 20000 mu of land, uses about five hundred million kilowatt hours of electricity each year, and manages 400 enterprises. The limited company of the development of the Yingyuan resource in Hebei province (hereinafter referred to as Yingyuan company) is responsible for the operation and management of the park, and fulfills the actual regulatory requirements of government departments on policies such as environmental protection and the like, thereby helping the enterprises in the park to save energy, reduce consumption and reduce cost. At present, related data of Ying source companies are mainly collected in a manual mode in the management process, the efficiency is low, the accuracy is not high, meanwhile, the conditions of stealing production and stealing production of enterprises in the atmospheric pollution prevention and treatment period often occur, the risk of pursuing responsibility of governments is met, and the requirement of reducing the cost of the enterprises cannot be met. After knowing the user requirements, the power supply company in the state city contacts the integrated energy company in the state network Hebei, and the integrated energy company provides an intelligent monitoring service scheme based on the ubiquitous power Internet of things technology to the Ying source company.
Through the implementation of the project content, the park is assisted to enhance the environment protection supervision, efficient energy utilization management is realized, meanwhile, the power utilization customer is assisted to accurately position the energy cost for equipment, the cost reduction and the efficiency improvement are realized according to the scientific decision of the electric power data, and the customer is promoted to actively participate in data operation cooperation.
The method comprises the steps of collecting a related enterprise outage and production limit scheme of the State environmental protection agency during atmospheric pollution prevention and control, gathering client side energy consumption data by means of marketing business application and an energy consumption acquisition system after data use authorization is completed through an online channel, constructing a big data analysis model around aspects of client side electricity consumption monitoring, abnormal alarm, peer comparison analysis, energy consumption diagnosis report and the like, effectively mining energy consumption data value, realizing internal and external network safety interaction of analysis result data through a strong isolation device and a data desensitization technology, comprehensively supporting visual display and monitoring early warning of a WeChat client side and a web application side, providing a real-time, visual, accurate and convenient monitoring means for clients, and effectively improving the working quality and efficiency of a park manager.
In the aspect of service Ying source companies, the comprehensive energy company provides applications of a web end and a mobile end for clients, and firstly, the actual execution condition of enterprises in a park during the period of stopping production is monitored, and the conditions of production stealing and emission stealing are found in time; secondly, the energy consumption of high-energy-consumption enterprises is controlled in a key mode, and energy distribution of the park is distributed reasonably; and thirdly, the power utilization level of the park resident enterprise industry is analyzed, and the reasonability of the industrial layout is improved.
In the aspect of entering the enterprise in the service park, firstly, energy consumption analysis of similar equipment is provided for the entering enterprise, and the enterprise is reminded of optimizing the equipment with overhigh energy consumption; secondly, time-sharing detailed data inquiry of self electric quantity, electric charge, load and the like is provided for the resident enterprises, so that the customers can conveniently analyze and judge self unreasonable electric consumption behaviors and power consumption management loss by combining with actual power consumption conditions; and thirdly, information such as electric quantity, electric charge, load, time-sharing power consumption, classification proportion ratio and the like of enterprises in the same area, industry and scale is provided, the total power consumption level of the client and the average power consumption level in the same industry are compared and analyzed, the client is helped to know the reasonable energy consumption condition in the industry, and the viscosity of the client is improved.
The energy internet ecological circle with data sharing, achievement sharing and value sharing is formed by providing multiple comprehensive energy services such as energy efficiency analysis, energy utilization consultation and the like for enterprise clients on the principle of 'exerting advantages, mutual promotion, long-term cooperation and mutual benefit and win'. The comprehensive energy company has signed a data value-added service agreement with the Ying source company in 2019, the amount of the contract is 100 thousands, and 80 thousands of income is generated in 2019.
In the future, the first is to create new profit growth points for companies. The project can play a role of demonstration and guidance, the comprehensive energy company has recently reached the requirement intention with other 6 large parks in the development area of the State City, and is expected to create 600 ten thousand yuan for the company, and after the model is popularized to 100 parks in the whole province in the later period, the model is expected to create 1 hundred million yuan for the company; secondly, a provincial intelligent environment-friendly supervision platform is constructed. The government is prompted to release a relevant support policy, the electric housekeeper platform is upgraded to a provincial intelligent environment-friendly supervision platform, and the electric power, government and enterprise data are all accessed to the platform, so that one set of data, one graph and one application are really realized, the energy conditions of various environment-friendly devices of industrial enterprises are comprehensively mastered, and powerful support is provided for preventing and controlling atmospheric pollution.
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.
The hardware implementation of the invention can directly adopt the existing intelligent equipment, including but not limited to industrial personal computers, PC machines, smart phones, handheld single machines, floor type single 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. Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
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 can be realized in a form of hardware, and can also be realized in a 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-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 examples are only intended to illustrate the technical solution of the present invention, but not to limit it; 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 (11)
1. The intelligent monitoring and auditing platform of the power grid performs security enhancement through data desensitization, and comprises an object database module based on power utilization energy data of a special transformer user, an application server module and a man-machine interaction and comprehensive display module; the method is characterized in that: the intelligent supervision platform performs data desensitization processing according to a rule standard or a field standard set by a monitoring project through a data desensitization server, realizes the internal and external network safety interaction of analysis result data, and is fully compatible with the visual display and monitoring early warning of a web port, a WeChat port, a pc port and a mobile port;
the data desensitization server comprises a multi-level data desensitization structure and a multi-layer data desensitization structure, and is compatible with cross application of desensitization of different layers of data on the basis of multi-level data desensitization according to data disclosure requirements of monitoring projects;
A. the multi-level data desensitization:
the first level is set to screen and intercept the global data of the database for the client side of the object database module;
the second level internally comprises a plurality of parallel levels which are set to screen and intercept any one group or a plurality of groups of data processed by different sub-module levels in the application server module; the internal part series of the second level is directly related to the hierarchical construction of the sub-modules in the application server module, so that the multilevel data desensitization with the internal structure is formed;
the internal grading of the second level at least comprises a data summarization construction sub-level, a big data modeling configuration sub-level, an application-oriented energy-consumption data mining sub-level and a data mining image-text report display sub-level; in the data desensitization process, any or a plurality of sub-levels are selected for screening and intercepting data;
B. the multi-layer data desensitization:
the method comprises a strong desensitization processing and weak desensitization processing two-layer processing model, wherein the strong desensitization processing carries out bottom layer deletion, abandonment and hiding processing on sensitive data; the weak desensitization processing adopts sensitive data, and deletes, discards, hides or replaces sensitive fields of the sensitive data.
2. The intelligent monitoring and auditing platform for power grids with security enforcement by data desensitization of claim 1 in which:
the object database module is used for acquiring the power utilization energy data of the special transformer users by the intelligent supervision platform through the power business application client of the power grid company, and constructing a client side energy utilization database as a basic data support for monitoring and analyzing application;
the application server module calls an energy consumption database of a client side, sets a multi-level sub-server for electricity consumption data monitoring, electricity consumption abnormity warning, peer-to-peer comparison analysis and energy consumption analysis diagnosis, and has an expandable port to be compatible with the updating of application requirements;
the man-machine interaction and comprehensive display module is at least compatible with a web port, a WeChat port, a pc port and a mobile port.
3. The intelligent monitoring and auditing platform for power grids with security enforcement by data desensitization according to claim 1 or 2, characterized in that:
the application server module at least comprises a data summarization construction sub-module, a big data modeling configuration sub-module, an application guide type energy-consumption data mining sub-module and a data mining image-text report display sub-module which are used for data presentation in sequence; and the application server module constructs a global or local data smooth closed loop based on the configuration of the sub-modules: the application-oriented energy consumption data mining submodule directly acquires application requirements transmitted by the multi-level sub-server for power consumption data monitoring, power consumption abnormity warning, peer-to-peer comparison analysis and energy consumption analysis diagnosis, and forms data mining and analysis application orientation; bidirectional data interaction exists between the big data modeling configuration submodule and the application-oriented energy-using data mining submodule, and the application-oriented energy-using data mining submodule refers to a data model from the big data modeling configuration submodule to perform data mining and processing; after an application guide type energy consumption data mining submodule acquires application requirements transmitted by a power consumption data monitoring, power consumption abnormity warning, same-row comparison analysis and energy consumption analysis diagnosis multi-stage sub-server and forms application guide as a basic instruction of row data mining analysis, reverse data feedback presentation is carried out on a big data modeling configuration submodule at the same time to form a feedback data closed loop, and the smooth construction of a local data processing closed loop guided by the application requirements is realized; and the local data processing closed loop is constructed smoothly to the global for expansion according to the requirement;
the first expansion mode is as follows: the application-oriented energy-using data mining submodule directly submits the data summarizing and constructing submodule or indirectly submits the data to the data summarizing and constructing submodule through a big data modeling and constructing submodule, so that the smooth closed-loop expansion of local data of the application server module is realized;
the second expansion mode is as follows: the application-oriented energy-using data mining submodule receives data presentation from the data mining image-text report display submodule through manual or program setting, and then directly carries out reverse data presentation on the data summarizing and constructing submodule or indirectly carries out reverse data presentation on the data summarizing and constructing submodule through the big data modeling and configuring submodule, so that the global expansion of the smooth closed loop of the local data of the application server module is realized.
4. The intelligent monitoring and auditing platform for power grids with security enforcement by data desensitization according to claim 1, 2 or 3 characterized in that: the screening and intercepting operations include a rule mode and/or a field mode.
5. The intelligent monitoring and auditing platform for power grids with security enforcement by data desensitization according to claim 1, 2 or 3 characterized in that: the method is compatible with the cross application of desensitization of different layer data on the basis of multi-level data desensitization, and the level is set as follows: screening and intercepting a rule mode or a field mode for client side use-capable database global data of the object database module; the layer set is: and carrying out bottom layer deletion, abandonment and hiding treatment on the sensitive data.
6. The intelligent monitoring and auditing platform for power grids with security enforcement by data desensitization according to claim 1, 2 or 3 characterized in that: the method is compatible with the cross application of desensitization of different layer data on the basis of multi-level data desensitization, and the level is set as follows: selecting any or a plurality of sub-levels for data summarization construction sub-level, big data modeling configuration sub-level, application-oriented energy-consumption data mining sub-level and data mining image-text report display sub-level to screen and intercept data; the layer set is: and carrying out bottom layer deletion, abandonment and hiding treatment on the sensitive data.
7. The intelligent monitoring and auditing platform for power grids with security enforcement by data desensitization according to claim 1, 2 or 3 characterized in that: the method is compatible with the cross application of desensitization of different layer data on the basis of multi-level data desensitization, and the level is set as follows: screening and intercepting a rule mode or a field mode for client side use-capable database global data of the object database module; the layer set is: adopting the sensitive data, and deleting, discarding, hiding or replacing the sensitive field of the sensitive data.
8. The intelligent monitoring and auditing platform for power grids with security enforcement by data desensitization according to claim 1, 2 or 3 characterized in that: the method is compatible with the cross application of desensitization of different layer data on the basis of multi-level data desensitization, and the level is set as follows: selecting any or a plurality of sub-levels for data summarization construction sub-level, big data modeling configuration sub-level, application-oriented energy-consumption data mining sub-level and data mining image-text report display sub-level to screen and intercept data; the layer set is: adopting the sensitive data, and deleting, discarding, hiding or replacing the sensitive field of the sensitive data.
9. The intelligent monitoring and auditing platform for power grids with security enforcement by data desensitization according to claim 1, 2 or 3 characterized in that: selecting any or a plurality of sub-levels for data summarization construction sub-level, big data modeling configuration sub-level, application-oriented energy-using data mining sub-level and data mining image-text report display sub-level to screen and intercept data, wherein the determining basis of the sub-levels comprises: A. monitoring the disclosure requirement of the target; B. the monitoring disclosure requires mapping overlap on different sub-levels, the sub-level or sub-levels with the highest mapping overlap being selected as the selected sub-level.
10. The intelligent monitoring and auditing platform for electrical grids with security enforcement by data desensitization of claim 9 in which: the calculation method of the mapping overlapping degree comprises the following steps: the number of rule numbers/fields that can be applied to the data properties of the sub-levels and the number of rule numbers/fields that are set by the disclosure requirements of the monitoring target constitute a general mapping overlap degree.
11. The intelligent monitoring and auditing platform for electrical grids with security enforcement by data desensitization of claim 9 in which: the calculation method of the mapping overlapping degree comprises the following steps: and based on the data property of the sub-level, the number of the rule/field which can be applied to the sub-level and the number of the rule/field which is set by the disclosure requirement of the monitoring target are overlapped, and the overlapped numbers are weighted and summed according to the weight of the rule/field to form the accurate mapping overlapping degree.
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