First, background
In 2009, our company successfully won the bid for the real-time database of 12 thermal power plants subordinate to the Yudean Group. Together with the Zhuhai Power Plant, Jinwan Power Plant, Shaoguan Power Plant and the later signed Pannan Power Plant that have been previously completed, 16 of the Yudean Group’s The power plants all use the openPlantTM database provided by our company as a plant-level real-time/history database to build a plant-level SIS system platform.
Up to now, all power plants have completed the installation and commissioning of the openPlantTM database. Most of the power plants have completed the implementation of the SIS system and entered the commissioning phase.
Second, the SIS network structure of Yudean Group
Compared with SIS network interfaces constructed by other databases, openPlantTM mainly has the following two characteristics:
1, the database supports multiple platforms, this operating system database used by the Guangdong Power Group, including IBM AIX, HP UINX, SUN Solaris, Windows. The choice of specific servers and operating system platforms can be completely matched according to the planning of the power plant.
2. Compared with other mainstream SIS network platforms, the Yudean SIS project has cancelled the design of the mirror server. This is mainly because the openPlantTM database supports UDP packet parsing to ensure that all its collection interfaces can directly upload data through physical isolators. To the real-time database. Compared with other mainstream SIS networks, this network design has the following two characteristics:
Ø Simplify the network structure, simplify the traditional three-tier network structure (interface machine à database server à mirror server) into a two-tier network structure (interface machine à database server). The benefits of this modification can not only reduce hardware costs, but more importantly, it can effectively reduce the failure rate of the SIS system and data transmission delay. According to our test, the DCS data is not more than 1 second delayed from being extracted by the SIS interface to being displayed on the MIS user display through the screen terminal.
Ø All control systems are connected through physical isolators that are unidirectionally transported and have a higher level of security than the firewall protection used by some power plants. Guaranteed the network independence of the control system, so that a control system will not affect other control devices after being attacked.
A, openPlantTM client tools
This year, openPlantTM database launched a new version V2.0, based on a comprehensive database to enhance performance on the client tool also conducted a large-scale upgrade and improve the openPlantTM database client tools and features to provide users with a better Service.
At present the new version of the database openPlantTM major customers tools include openPlant @ Transfer process graphics conversion module, openPlantTM @ Detail point information module, openPlantTM @ Trend trend module, openPlantTM @Dictionary production data dictionary module, openPlantTM @Report Replay process module and playback tools.
1) openPlantYM@Transfer process graphics conversion module
The openPlantTM @Transfer graphics conversion tool converts graphics from the control system to open-PlantTM graphics. On the one hand, the workload of the graphical configuration of the SIS system is reduced; on the other hand, the process graphics that the user sees on the client browser are exactly the same as the control system, which realizes the extension of process monitoring from the control room to the desktop.
2) openPlantTM@GBuilder module
The module provides simulation graphics and customized process graphics according to user requirements. The user can also use the visual graphic configuration tool provided by the system to draw the process graphics that he is interested in.
3) openPlantTM@Detail module
This module provides all the static and dynamic information of the collection process point, such as the value, quality, unit, description, high and low limit, alarm status, record type, hardware address, and workstation number of the process point, facilitating the user to understand the detailed information of the relevant collection point. .
4) openPlantTM@Trend module
This module provides real-time trend and historical trend of process points, which facilitates users to analyze historical and real-time data. Users can configure related trend groups according to actual needs.
5) Production data dictionary module @Dictionary
This module provides all production data and features such as fuzzy queries.
6) openPlantTM@Report module
The module can obtain real-time data, historical data and statistical data from real-time databases and other relational databases, and generate various types of production reports through pre-defined templates. At the same time, because the data of the report system is stored in the relational database, the management and maintenance of the report are very convenient. The generated report can be viewed online or saved in Excel format.
7) Replay process playback module
The module is based on the process graphic browsing module development, using the SIS system's existing process graphics, through the openPlantTM data playback technology past historical data of a certain period of time through a graphic display, user-friendly accident recall and failure analysis.
Second, the use of openPlantTM real-time database in Yudean Group
The real-time database is the basis for the development of the entire SIS system. It is directly related to whether the entire SIS system can collect, process, and store historical data in an efficient, large-capacity, stable, and safe manner. Through the practical application of the power plant, the openPlantTM real-time database is used as a real-time database with domestic independent intellectual property rights. It can safely and stably realize interfaces with various control systems on the site, and can efficiently compress data collected and provide long-term data. Historical storage, providing convenient and easy-to-use client programs and common data interfaces, can help enterprises achieve real-time data sharing throughout the entire plant, providing enterprises with improved production management levels, saving production costs, and enhancing the company's market competitiveness A solid data foundation and scientific basis.