CN116228116A - Comprehensive energy intelligent management and control and application system and implementation method thereof - Google Patents
Comprehensive energy intelligent management and control and application system and implementation method thereof Download PDFInfo
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Abstract
The invention discloses a comprehensive energy intelligent control and application system and an implementation method thereof, 1) the system is divided into 6 layers of a display layer, an application service layer, a business logic layer, a basic business service layer, a technical service layer and a basic framework service layer; 2) A system architecture based on a micro-service architecture is adopted, lightweight communication mechanisms are adopted among services, and the services are independently deployed, so that the development agility is improved; 3) And constructing an energy intelligent analysis tool for fusing the space-time data, constructing a space-time association rule according to a plurality of dimension attributes, and carrying out induction and statistics. The intelligent energy management and control system is guided by the energy management and control requirement, focuses on the main attack direction of intelligent energy management and control system architecture, value mining, value added service and the like related to urban comprehensive energy management and control, and remodels an energy system by using the 'Internet+' thinking, so that the integral considerable, autonomous and controllable local optimization of urban comprehensive energy is realized, urban energy consumption and carbon emission are reduced, and user service experience is improved.
Description
Technical Field
The invention relates to the technical field of energy big data, in particular to a comprehensive energy intelligent management, control and application system and an implementation method thereof.
Background
The energy is an indispensable part for promoting the development of the society in China, and the energy Internet combines the computer technology with a novel power network to energize the energy so as to realize the bidirectional flow of the energy.
The traditional energy internet system has the following defects:
1. although some energy internet and comprehensive energy systems exist at present, many traditional systems only uniformly plan and design energy supply systems such as power supply, air supply, cold supply, heat supply and the like, and have single service mode, so that actual production requirements are difficult to meet.
2. The traditional energy internet system emphasizes production guidance, has the traditional 'retransmission light supply is not used', builds a 'safe, stable and reliable' management concept, and is not enough for users to pay attention to.
3. Some traditional comprehensive energy service systems adopt traditional single-body architecture, and the phenomena of service coupling and confusion possibly occur, so that the later-stage further development of the system is blocked, and the maintenance of the system is not facilitated.
Based on the reasons, the comprehensive energy intelligent management and control and application system not only uniformly generalizes and analyzes urban energy sources including multiple multi-source energy sources such as cold, heat, electricity, gas, water and the like on the basis of the traditional energy internet system, but also fully plays the advantages of the comprehensive energy internet system from the analysis process of the system by taking the influence factors such as geographic positions, energy resources, economic factors and the like into the system, and realizes the cooperative complementation of the multiple energy sources such as electricity, heat, cold, gas, water and the like through multi-energy fusion and cooperative scheduling. In addition, the comprehensive energy intelligent management and control and application system is more focused on opening, service, system and ecology, and the energy production is required to be changed into energy service, and the clients and the service are taken as cores, so that professional energy service is provided for energy suppliers and government enterprise systems.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, provides a comprehensive energy intelligent control and application system and an implementation method thereof, focuses on the main attack directions of intelligent energy control system architecture, value mining, value added service and the like related to urban comprehensive energy control by taking the energy control requirement as a guide, and remodels an energy system by using the 'Internet+' thinking, thereby realizing the overall considerable, autonomous and controllable local optimization of urban comprehensive energy, reducing urban energy consumption and carbon emission and improving user service experience.
An integrated energy intelligent management and control system sequentially comprises a presentation layer, an application service layer, a business logic layer, a basic business service layer, a technical service layer and a basic framework service layer for data transmission;
display layer: the method comprises the steps of taking charge of data presentation for a user interface of an end user, receiving data input by the user and checking the input data;
application service layer: providing business logic and providing Web service to the outside; the business layer mainly comprises nine modules including energy monitoring, energy analysis, energy management, energy transaction, energy service, energy ecology, user systems, market portals and space-time correlation;
business logic layer: realizing business processing and controlling the transaction; the business logic layer is mainly used for specific business of application services such as energy monitoring, energy management, energy analysis and the like, such as regional environmental protection index monitoring, regional energy balance diagram, enterprise energy use condition monitoring and the like;
basic business service layer: public and basic services required by the packaging business, such as user components, provincial company data center access service, external energy system access, user messages and the like;
technical service layer: packaging common technology implementations and data access implementations, such as log components, security components, message components, audit service components, and the like;
base frame service layer: the general java programming package and the service framework are provided for running SpringCloud micro services, such as a load balancing component, a service fusing component and a service routing component.
A realization method of a comprehensive energy intelligent management and control system takes business requirements as guidance, focuses on the overall observability of urban comprehensive energy, and provides a visual interface for energy clients. The comprehensive energy intelligent management and control and application system adopts a big data technology according to energy data of energy service providers, and realizes analysis and prediction of the energy data by utilizing artificial intelligence after ETL treatment, and specifically comprises the following three dimensions: a. space-time correlation analysis; b. an enterprise multidimensional image; c. and (5) analyzing the air quality of the industry.
Preferably, the space-time association analysis tool performs multidimensional association rule mining according to energy data, social credit codes, user names, energy identifications, energy types, energy sources, registration addresses, position coordinates, coordinate systems and industry classes of energy suppliers. The space-time correlation analysis comprises three parts of space-time analysis data, space-time correlation rules and space-time analysis results. The space-time analysis data provides data loading and processing functions, the system user fills relevant information into the system according to the template, and the rear end loads the data into the database to carry out data management work. The space-time association rule associates space-time data with the multi-dimensional association rule, and further discovers information of the association rule. The space-time analysis results are displayed, so that the government and enterprise users can conveniently carry out overall analysis.
Preferably, the enterprise multidimensional image characterizes the multidimensional features of the enterprise from multiple dimensions by energy consumption data and basic information of the energy user. The enterprise multidimensional image comprises a label overview, label statistics, statistical distribution, label library management, rule library management, label maintenance, customer image, energy credit inquiry and other modules. The label overview module displays enterprise labels and regional label ranking conditions, and displays the most prominent characteristic labels of regional enterprises. The tag statistics module displays 5 kinds of basic information, energy attributes, energy consumption characteristics, energy consumption credit, customer value and the like, and tag characteristics, 21 kinds of secondary tags of subordinate industries, areas and the like, and 57 kinds of tertiary tags of electric power industry classes and the like. The tag distribution module reflects the feature tags on the map in an intuitive form. The label library management module manages the rules of the labels, the rule library management module manages the label rules, and the label maintenance module maintains the labels. The customer portrait module displays the user feature labels of each enterprise. And the credit inquiry module analyzes the credit of the client and checks the record of the client default.
Preferably, industry popularity analysis and prediction predicts future popularity predictions based on BiLSTM and attention mechanisms by historical full industry Jing Qidu index values. The industrial scene air analysis takes the day as the dimension, adopts the sliding window technology to expand the data sample, and transmits the data sample into the prediction model after pretreatment, so as to predict the index value of the whole industry Jing Qidu in about 10 days.
The invention has the advantages and technical effects that:
1. on the basis of the traditional energy internet system, the comprehensive energy intelligent management and control and application system not only uniformly generalizes and analyzes urban energy sources including multiple multi-energy sources such as cold, heat, electricity, gas, water and the like, but also brings the advantages of the comprehensive energy internet system into full play from the analysis process of influencing factors such as geographic positions, energy resources, economic factors and the like into the system, and realizes the cooperative complementation of the multiple energy sources such as electricity, heat, cold, gas, water and the like through multi-energy fusion and cooperative scheduling.
2. The comprehensive energy intelligent management and control and application system is more focused on opening, service, system and ecology, the energy production is required to be changed into energy service, customers and service are taken as cores, the urban comprehensive energy multi-service application scene and the multi-user customized demand are oriented, the urban comprehensive energy intelligent management and control and application system is developed, the urban comprehensive energy intelligent management and control and application system has energy monitoring, energy analysis, energy management, energy service, energy transaction and energy ecological supporting capacity, and the safe and economic operation level of urban comprehensive energy, clean energy consumption capacity and social comprehensive energy utilization efficiency are improved.
3. The system follows a multilayer distributed application mode, adopts a componentized and dynamic software technology, utilizes a consistent sharable data model to construct a multilayer technical system design, and realizes system interface integration, data integration and application integration through a plurality of integration modes such as a data center station, an internet of things system and the like so as to meet various application requirements in a system service range and information interaction requirements of longitudinal through and transverse integration.
4. The system technical architecture is based on a micro-service technology, and the physical layer comprises virtual/container resources and management services, a structured/unstructured database, a time sequence database, a cache database and the like; the system layer support service comprises authorization authentication, encryption and decryption of national keys, message queues, task scheduling and the like, and the application service is realized based on SpringCloud, springBoot and other technologies and has a containerized deployment function; the application layer display mode comprises technologies such as Vue and ECharts, and services are accessed through a web terminal and a visual large screen.
Drawings
FIG. 1 is a diagram showing the design of the components of the integrated energy management and control and application system of the present invention;
FIG. 2 is a diagram of a micro-service component architecture for a comprehensive energy intelligent control and application system according to the present invention;
FIG. 3 is a diagram of a micro-application design of the integrated energy management and application system of the present invention;
FIG. 4 is a schematic diagram of a deployment sequence of the present invention.
Detailed Description
For a further understanding of the nature, features, and efficacy of the present invention, the following examples are set forth to illustrate, but are not limited to, the invention. The present embodiments are to be considered as illustrative and not restrictive, and the scope of the invention is not to be limited thereto.
The invention relates to a comprehensive energy intelligent control and application system and an implementation method thereof, wherein the system has the main functions as follows: 1) The system provided by the invention is divided into 6 layers of a presentation layer, an application service layer, a business logic layer, a basic business service layer, a technical service layer and a basic framework service layer, and from the service perspective, an intelligent energy management and control system architecture is implemented, so that the overall observability, the autonomous controllability and the local optimization of urban comprehensive energy are realized, and the urban energy consumption and the carbon emission are reduced. 2) The system architecture based on the micro-service architecture is adopted, lightweight communication mechanisms are adopted among services, and the services are independently deployed, so that the development agility is improved. 3) And constructing an energy intelligent analysis tool for fusing the space-time data, constructing space-time association rules according to a plurality of dimension attributes, and carrying out advanced applications such as induction, statistics, support exception handling, fusion analysis and the like.
1. Business-based component development
The comprehensive energy intelligent management and control and application system adopts the concept of agile development to divide a business module into 9 micro-service modules according to the business functions of three functional modules such as energy monitoring, energy analysis, energy management, energy service, energy transaction, energy ecological six-major basic service, market portals, space-time correlation analysis, user systems and the like, adopts the basic framework of spring micro-service, and supports independent development and maintenance of each module. And the nine functional modules are thinned and developed in a modular manner, so that the development efficiency and reusability of the components are improved.
As shown in fig. 1, an integrated energy intelligent control and application system architecture includes: the system comprises a presentation layer, an application service layer, a business logic layer, a basic business service layer, a technical service layer and a basic framework service layer.
The display layer is a web page display layer.
The application service layer is an application such as energy monitoring, energy analysis, energy service, energy management, energy transaction, energy ecology, user system, market portal, space-time correlation and the like.
The business logic layer includes business components of nine application services. (1) energy monitoring comprising: the system comprises a regional environmental protection index monitoring component, an energy consumption thermodynamic diagram component, a regional supply and demand monitoring component, a regional energy balance diagram component, an energy supply monitoring component, an energy consumption monitoring component, an enterprise detail component and an enterprise distribution display component. (2) energy analysis comprising: regional energy analysis component, regional energy efficiency analysis component, environmental protection analysis component, regional energy balance component, trade energy consumption analysis component, trade energy efficiency analysis component, enterprise energy profile component, enterprise energy detail analysis component, enterprise energy consumption analysis component. (3) energy management comprising: energy double-control overview assembly, industry double-control overview assembly, key enterprise double-control assembly, photovoltaic monitoring assembly, wind power monitoring assembly, energy storage monitoring assembly, charging pile monitoring assembly, triple supply monitoring assembly and equipment statistics analysis assembly. (4) the energy service includes: the system comprises an operation and maintenance monitoring component, a service management component, a tag library management component, a credit inquiry component, a service center service component and an energy access service component. (5) energy transaction comprising: the system comprises a demand editing use case component, a standard contract management component, a demand auditing component, a contract checking component, a commodity editing component, a contract tracking component, a commodity auditing component and a contract statistical analysis component. (6) energy ecology includes: the system comprises a demand editing use case component, a standard contract management component, a demand auditing component, a contract checking component, a commodity editing component, a contract tracking component, a commodity auditing component and a contract statistical analysis component. (7) the marketplace portal includes: the system comprises a summary display component, a total station search component, a value-added service component, an information portal viewing component, a partner service component, a demand viewing component, a demand response component, an expert list service component, an expert viewing service component, an expert message management service component, a result case portal viewing component, a result case management component, a hatching item service component, an energy club management component, an energy club portal viewing component, a meeting and exhibition service component, a conference control service component, an activity service component, a training service component, a salon service component, a viewing for our portal component, a viewing for our service component, a system use protocol component, a resident checking service component and a user name login service component. (8) the user system comprises: the system comprises a demand management component, a contract signing component, a contract receiving and paying business component, a contract evaluation component, a purchase intention component, a typical project propaganda component, a system access service component, an enterprise center component, an application management component, a message management component and a message management component. (9) the spatio-temporal correlation component comprises: the system comprises a space-time data analysis component, a space-time association rule component and a space-time analysis result component. (10) large screen monitoring and display components.
Basic business service layer: the system comprises a user component, a provincial company data center station access component, an external energy system access component and a message component.
Technical service layer: the system comprises a log component, a message component, a task scheduling component, a GIS component, an authorization authentication component, a communication component, a monitoring service component, an encryption and decryption component, a security component, an audit service component, an anomaly analysis component, an account management component, a permission management component, a role management component, a parameter configuration component and a resource management component.
Base frame service layer: the system comprises a load balancing component, a service fusing component, a service routing component, a configuration center component, a registration center component, a visualization component, a structured data service component, a data cache service component and a file service component.
2. Micro-service component architecture
Fig. 2 is a micro-service component architecture diagram, and when a client accesses a system, a gateway is routed through an API, and the routing gateway selects a Zuul gateway component to route and forward all external service requests. The Eureka component is responsible for registering and discovering services, when each micro-service is started, the Eureka client registers own information to the Eureka Server, and the Eureka Server stores the information of the service to well connect the services. Feign is used as an HTTP client to realize communication among the micro service nodes. The rib will implement load balancing according to the configuration of the service gateway. The Config-Server component provides a unified configuration management center for the entire micro-service system. Hystrix serves to monitor communication calls between services and to protect against blow if the number of failures reaches a set threshold. The turbo in combination with the Dashboard component is used to monitor and view the fusing condition of Hystrix and gives a graphical interface presentation to the system maintainer.
Fig. 3 is a technical architecture of micro services, the system adopts a front-end and back-end separation mode, and splits the application into 9 high-cohesive and low-coupling small services including energy monitoring, energy analysis, energy management, energy service, energy transaction, energy ecology, market portals, user systems and space-time correlation analysis, each small service operates in an independent process, and is developed and maintained by team sub-modules, lightweight communication mechanisms are adopted among the services, independent deployment is achieved, and development agility is improved.
3. Intelligent analysis and prediction based on big data and artificial intelligence
The intelligent analysis and prediction based on big data and artificial intelligence is mainly embodied on three functional modules of space-time correlation analysis, enterprise multidimensional image and scenic spot analysis.
(1) And (3) space-time correlation analysis:
and the space-time correlation analysis module fuses the space-time position and the data intelligent analysis page of the comprehensive energy source to provide a template-counting service, and a user downloads the template and fills in the template according to the data required to be provided, and submits the template after filling in the template. The background processes data according to submitted contents, and performs space-time analysis by performing space coordinate check and coordinate system conversion. The analysis tool performs multidimensional association rule mining according to the energy data, the social credit code, the user name, the energy identifier, the energy type, the energy source, the registration address, the position coordinates, the coordinate system and the industry class of the energy supplier. Using a mixed attribute space-time clustering algorithm to take time dimension and position information as space-time clusters, and analyzing energy consumption conditions (electricity consumption, water consumption and gas consumption) and industry data statistics in the space-time clusters; and analyzing the energy consumption conditions (electricity consumption, water consumption, gas consumption) in the space-time clusters, the energy types, the statistical data of areas and the like, and the like.
(2) Enterprise multidimensional imaging:
the enterprise multidimensional portrait module divides different dimensionalities according to the industrial needs, marks users, tags massive data into user characteristics and describes enterprise portraits in a multidimensional manner. The tag overview module is used for system client tag overview, and ranking the tags, and displaying the most prominent client tag in a certain time. The label statistics module displays the duty ratio distribution of labels at all levels in the form of a tree diagram, and then displays the enterprise duty ratio of the label area. The label distribution utilizes the thought map service and the visualization technology to visually display the regional distribution of each enterprise and display the energy distribution of each label region. The tag library management is responsible for management such as issuing and disabling of the system tags, and can support system management personnel to manually maintain the tags. Through the tag maintenance function, a system manager can add rule tags, manual tags, combined tags and the like, and support manual maintenance of associated enterprises. And (5) alarming users with credit risks such as illegal electricity consumption, electricity stealing and the like by using the credit inquiry display system to access the energy consumption credit of the enterprise.
(3) And (3) analyzing the air quality of the industry scene:
and the industrial scene gas degree analysis and prediction adopts a BiLSTM+ attention mechanism method, and future scene gas degree prediction values are predicted through historical full industry Jing Qidu index values. Firstly, a sliding window technology is adopted to expand data samples of historical industry scenery data, namely, the length of a set period is set to obtain a continuous time sequence, then the data samples are sequentially slid backwards until one period is finished, at the moment, a plurality of groups of time sequences are obtained, and then a training set is divided.
The network architecture based on BiLSTM and attention mechanisms is mainly composed of batch standardization (BN) layer, biLSTM layer, attention layer and full connectivity layer. The BiLSTM obtains output values of all time steps by learning unit information in the front and the back of each moment, learns information contained between the front and the back of a time sequence, and automatically obtains comprehensive characteristic information on the basis of solving the problems of time sequence dependence, gradient explosion and the like. The attention mechanism layer adopts a channel attention mechanism, so that the artificial neural network can pay attention to the characteristic channels which are useful for the current task according to the weight value of each characteristic channel extracted by the attention mechanism. Finally, the dimension of the full-connection layer is reduced, a final residual service life prediction result is obtained, and in order to improve the accuracy of the prediction result, a weighted average noise reduction method is adopted to process the prediction result. Finally, the data samples are preprocessed and then transferred into a prediction model, and the index value of the whole industry Jing Qidu within about 10 days is predicted.
4. Automated deployment based on docker and Jenkins
As shown in FIG. 4, the present invention supports deployment and presentation functions, requiring deployment of front-end applications, as well as micro-service applications. The micro service comprises two parts, namely a technical platform micro service and a system business micro service. The front-end application comprises a system front-end application, namely a technical platform front-end and a business front-end web, and provides an access entrance through a service after deployment. The actual deployment content comprises: database data import, micro-service configuration and release, front-end application configuration and release, and a system deployment sequence is shown in fig. 4.
Firstly, uploading a docker.tgz and docker.service file to a target virtual through offline Docker deployment; then installing a MySQL database by using a Docker, and uploading a mysql.tar file to a target virtual machine; install RocketMQ and Redis, upload files such as cln-ei4-83-image-dp.gz to virtual machine, submit mirror image, view generated mirror image information. Run success shows that the mirror + tag information of the successful image was submitted.
Jenkins can be easily set and configured through friendly webguis, including instant error checking and built-in help. The developer creates a Project on the Gitleab server, determines the corresponding branches of each deployment environment and will be the Jenkins server. In the software development process, different branches are used for managing source codes in different environments, a developer submits the codes to a dev branch, a Jenkins polling mechanism can detect COMMITID change to trigger construction, a specific script is executed to complete software updating, and a unit test is automatically executed and an operation result is fed back. After the self-test passes, combining codes to a test branch, automatically deploying jenkins to a test environment, and starting test work by a QA team.
Finally, the invention adopts the mature products and the mature technical means in the prior art.
It will be understood that modifications and variations will be apparent to those skilled in the art from the foregoing description, and it is intended that all such modifications and variations be included within the scope of the following claims.
Claims (5)
1. A comprehensive energy intelligent management, control and application system is characterized in that: a presentation layer, an application service layer, a business logic layer, a basic business service layer, a technical service layer and a basic framework service layer for data transmission in sequence;
display layer: the method comprises the steps of taking charge of data presentation for a user interface of an end user, receiving data input by the user and checking the input data;
application service layer: providing business logic and providing Web service to the outside; the business layer mainly comprises nine modules including energy monitoring, energy analysis, energy management, energy transaction, energy service, energy ecology, user systems, market portals and space-time correlation;
business logic layer: realizing business processing and controlling the transaction; the business logic layer is mainly used for specific business of application services such as energy monitoring, energy management, energy analysis and the like, such as regional environmental protection index monitoring, regional energy balance diagram, enterprise energy use condition monitoring and the like;
basic business service layer: public and basic services required by the packaging business, such as user components, provincial company data center access service, external energy system access, user messages and the like;
technical service layer: packaging common technology implementations and data access implementations, such as log components, security components, message components, audit service components, and the like;
base frame service layer: the general java programming package and the service framework are provided for running SpringCloud micro services, such as a load balancing component, a service fusing component and a service routing component.
2. The method for implementing the integrated energy intelligent management and control and application system according to claim 1, wherein the method comprises the following steps: the service requirement is used as a guide, the overall observability of the urban comprehensive energy is focused, and a visual interface is provided for energy clients. The comprehensive energy intelligent management and control and application platform adopts a big data technology according to energy data of energy service providers, and realizes analysis and prediction of the energy data by utilizing artificial intelligence after ETL treatment, and specifically comprises the following three dimensions: a. space-time correlation analysis; b. an enterprise multidimensional image; c. and (5) analyzing the air quality of the industry.
3. The method for implementing the comprehensive energy intelligent control and application system according to claim 2, wherein the method comprises the following steps: the space-time association analysis tool performs multidimensional association rule mining according to energy data, social credit codes, user names, energy identifications, energy types, energy sources, registration addresses, position coordinates, coordinate systems and industry classes of energy suppliers. The space-time correlation analysis comprises three parts of space-time analysis data, space-time correlation rules and space-time analysis results. The space-time analysis data provides data loading and processing functions, a platform user fills relevant information into the platform according to the template, and the rear end loads the data into the database to carry out data management. The space-time association rule associates space-time data with the multi-dimensional association rule, and further discovers information of the association rule. The space-time analysis results are displayed, so that the government and enterprise users can conveniently carry out overall analysis.
4. The method for implementing the comprehensive energy intelligent control and application system according to claim 2, wherein the method comprises the following steps: the enterprise multidimensional image characterizes the multidimensional characteristics of the enterprise from the multidimensional degree through energy utilization data and basic information of an energy user. The enterprise multidimensional image comprises a label overview, label statistics, statistical distribution, label library management, rule library management, label maintenance, customer image, energy credit inquiry and other modules. The label overview module displays enterprise labels and regional label ranking conditions, and displays the most prominent characteristic labels of regional enterprises. The tag statistics module displays 5 kinds of basic information, energy attributes, energy consumption characteristics, energy consumption credit, customer value and the like, and tag characteristics, 21 kinds of secondary tags of subordinate industries, areas and the like, and 57 kinds of tertiary tags of electric power industry classes and the like. The tag distribution module reflects the feature tags on the map in an intuitive form. The label library management module manages the rules of the labels, the rule library management module manages the label rules, and the label maintenance module maintains the labels. The customer portrait module displays the user feature labels of each enterprise. And the credit inquiry module analyzes the credit of the client and checks the record of the client default.
5. The method for implementing the comprehensive energy intelligent control and application system according to claim 2, wherein the method comprises the following steps: the industry scene gas degree analysis and prediction is based on BiLSTM and attention mechanism, and future scene gas degree prediction values are predicted through historical full industry Jing Qidu index values. The industrial scene air analysis takes the day as the dimension, adopts the sliding window technology to expand the data sample, and transmits the data sample into the prediction model after pretreatment, so as to predict the index value of the whole industry Jing Qidu in about 10 days.
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