Luculent plant-level supervisory information system fully utilizes the process data of each independent system in the electric power plant to establish a large real-time data depot based on the devices and the process; meanwhile, the system can deploy the functions of production information acquisition and monitoring, trend analysis, performance computation and consumption difference analysis etc. so that the production and management staff at each level can constantly get and master the dynamic results of the plant operation status, production environment evaluation and diagnosis made by the system in their offices and provide the process data, computation and analysis results for the upper-layer management information system of the electric power plant to meet the production process management requirements of the power plant and ensure economic, safe and stable running of the units. The application modules developed on the basis of real-time information process, screen and excavate the real-time and historic data to realize more efficient and lean management of the production process; moreover, such modules can improve the equipment availability and reliability for safe and stable operation of each system in the electric power plant.
The system takes the four-layer structure mode, that is: the data acquisition interface layer consisting of real-time data acquisition platform and manual reporting platform; the data layer of the power plant data center consisting of the real-time history database and the relationship database; the business layer of intensive, real-time, lean and professional control in the power plant with the core of the knowledge base; and the issuance layer with the three major features of control cabin, personalized customization and specialized topic analysis.
The system provides model maintenance, system log management and operation and maintenance tools including authority management tools, in addition to application package such as sheet tool, webpage configuration tool, image analyzing tool and interface management tool to support overall lifecycle operation and maintenance management of the projects.
1) The digital modeling technology is used to construct the power plant model and rapidly construct the complicated applications in the electric power plant.
Give up the numerous complicated configuration processes; and it is only required to establish the model and complete correspondence between the actual measured points and the model parameters.
Provide the visualized modeling tools and smart guide type friendly interfaces to accurately and conveniently construct the models;
Provide a great number of basic models which can be directly copied and transmitted between the same type of units or devices.
With the equipment-oriented maintenance mode, the user can participate in the whole project implement process to ensure accurate business demands.
2) The digital pyramid service can be used to effectively extract knowledge and significantly improve the data utilization value.
It processes numerous data for many times to conduct the feature analyses or customize analyses on data and obtain the data relationship in depth; meanwhile, it provides such analysis results for the last business to assist in making decisions;
Through bad value judgment of the upper and lower limits related to the model parameters, the model reference value can be substituted and it has the mode of the empirical value deviation check for the historic data retrieval engine to verify the data validity and keep data analyses exact and reliable;
With the visualized rule editing tools, the user can easily configure the computation rules and combine the model established in the backstage to conveniently call all objects in the model base, such as devices and parameters.
3) The real-time monitoring is integrated into management to strengthen control input.
MIS/SIS integration in the subsequent information construction can establish the real-time production business and the operation management business on a uniform platform;
It integrates real-time production and equipment, overhaul, operation and safety management through the equipment KKS coding to shape the MIS/SIS-integrated organic whole;
The equipment reliability and the maintenance economic efficiency shall be improved so that SIS can be taken as tools for real-time monitoring and performance computation; and it is the important component used to powerfully support production and operation management and fulfill such management.
4) High product and platform standardization can ensure convenience, availability and reliability of the system installation and operation.
Luculent real-time production information system is designed to use the platform design conception so that the system has superior flexibility and agility;
Real-time monitoring platform, index analyzing model, various computation models, various computation engines can be rapidly configured so as to quickly respond to demands, reduce the implementation risks and shorten the execution cycle and they are easy to be maintained and expanded;
Luculent real-time production monitoring system is developed with J2EE technology and B/S structure on the basis of SOA structure, while the company uses numerous customer terminal techniques (WEB2.0 and Flex) to better the customer’s application experience and get vivid, abundant and accurate interfaces.
5) Mobile APPs can meet the demands for mobile supervision and office.
The mobile measures are used to assist the customers in establishing new business modes and optimizing the current business modes.
The unique APP-based features are developed in combination of abundant graphic interface presentation modes and flexible attribute configuration modes to greatly improve the system availability.
1) To monitor overall system operation and master the operation status of the whole plant.
Conduct lean supervision over the plant production process and analyze the system status at any time.
Change the real-time index trend, track the history and flexibly analyze the dynamic features of the indexes.
Monitor the states of key devices and indexes and master the dynamic operation state at the site.
Monitor the whole process of the dynamic data process and keep the data stream safe.
2) To compute and analyze the indicators of the plant and realize lean energy consumption and safe management all over the plant.
To analyze the lean energy consumption and accurately position the key factors and indicators.
Calculate the indicator performances all over the plant and real-time master the economical efficiency of each system.
Manage the overall norm compliance of each indicator and all-dimensionally evaluate the production level.
Statistically analyze the abnormal indicator information for operation of the whole plant and ensure safe operation of the equipment.
3) Utilize the digital modeling technology and carry out the integrated equipment analysis.
The digital modeling technology is used to construct the model at the production site for rapid construction of the complicated applications.
Overall equipment analysis can realize lean management of the equipment.
The real-time monitoring is combined with management for SIS & MIS integration to enhance control efforts.
4) To realize overall performance evaluation, better and perfect the operation or management level.
Carry out the operation-related small indicator evaluation and better the initiative of the operation personnel.
Appraise and analyze the evaluation results, provide the decision making supports for the management.
Customize the evaluation rules and expand the business application range.
5) To control intelligent warning and faults and precisely control safe operation of the equipment.
Establish the fault knowledge base and store original history faults and solutions.
Provide the statistical analysis function of equipment alarms and effectively control the historic alarm information.
Intelligent analysis can provide the decision making supports to deal with faults.
Jiangsu Xinhai Power Generation Co., Ltd. is subordinated to Jiangsu Province Asset Management Group and with over 1,800 employees and the total asset amount of over CNY 6 billion, it is one of the large state-owned thermal power generation enterprises and the major power plants. And many national reputations have been granted successively to Xinhai, such as “Daqing-Style Enterprise”, “National First-Class Thermal Power Generation Plant”, “National May 1st Labor Award”, “National Dual Civilization Unit in the Electric Power Industry” and “National Advanced Unit of Corporate Culture Construction”.
The company has two 330MW sets and two 1,000MW ultra-supercritical power generator sets built with the total installed capacity of 2,660MW and it plans to construct Xuwei New Zone LNG Supporting Combustion Machine Project and Suwending Pumped-Storage Hydroplant Project. During “the 13rd five-year plan”, it positively gets integrated into the national project “Belt and Road” and Jiangsu coastal development strategy, fully utilizes the unique geological and resource advantages in Lianyungang, speeds up the approved project of the four 300MW hydropower units for Jiangsu Guosen Liangyungang pumped-storage power station; meanwhile, it plans to construct Xuwei New Zone back pressure type coal burning and thermoelectricity project of 6 furnaces and 5 units and the clean energy project of six 9F gas engines, the company can grow into a comprehensive modern power generation enterprise integrating thermal power, pumped-storage hydropower and gas power generation.
This project first applies a new generation of digital modeling technology platform independently developed by Luculent for overall production process modeling in the power plant to construct the process models of each main and auxiliary device and establish the knowledge platform. Meanwhile, overall use of the modeling technology can greatly shorten the project implementation cycle and ensure the project implementation quality. And the digital modeling technology provides the visualized modeling tool, the uniform access interface and the open model maintenance structure to directly transmit sample data, work condition libraries and knowledge bases from the similar power plant and the similar units and share resources, so such technology may bring a huge reform for the project implementation.