The "Intelligent Early Warning System for Thermal Control Condition-based Maintenance" of BKC has been officially released

Beijing BKC Technology: Zheng Xueqin

2021years12In May, Biketest's "Intelligent Early Warning System for Thermal Control Condition-based Maintenance" was officially released. The "Intelligent Early Warning System for Thermal Control Condition-based Maintenance" is from BKC2021The third product successfully developed in that year.The release of this product marks a historic breakthrough in the "condition monitoring and early warning of secondary equipment in power plants" in the reliability condition-based maintenance system of Biketex equipment, effectively interpreting the connotation of Biketex's smart power plants and achieving deeper research and application of process data and intelligent early warning.

It must be measurable."Intelligent Early Warning System for Thermal Control Condition-based MaintenanceIntegrating the practical fault handling and diagnosis experience of multiple thermal control, debugging, and process experts based on actual production, combined with big data analysis algorithms, through thermal control equipment,DCSThe four diagnostic and early warning modules of the control system, interlock protection and control performance achieve comprehensive monitoring, early warning and maintenance decision-making of thermal control equipment. Meanwhile, through the technical management module applied throughout the daily work process (including technical supervision, defect management, maintenance management, regular work and file management), not only is the personnel work standardized, but also through the full-process management mode, The improvement of work efficiency and the standardization of management processes have effectively enhanced the work efficiency of personnel and reduced their labor intensity.

It must be measurable."Intelligent Early Warning System for Thermal Control Condition-based MaintenanceIt can be summarized as one center, two major functions, three types of displays, and four types of diagnoses. That is: centering on the individual user, optimize the configuration based on the focus of different positions, enabling users to obtain key information of concern in the first place and keep abreast of professional trends. This system automatically monitors, diagnoses, analyzes and issues early warnings for the equipment, control systems, control performance and protection interlocks under the jurisdiction of thermal control, and pushes maintenance and repair decisions to achieve intelligent early warning. In combination with business operations, for system defects, maintenance, regular work, file management, etc., automatically generate plans, automatically analyze and statistically process, and automatically form report records to standardize technical management. This system not only displays the health status of the equipment in the three zones, but also automatically sends the warning information when a warning signal is generatedDCSAlarm can achieve intelligent monitoring of secondary equipment.

The core functions of the "Intelligent Early Warning System for Thermal Control Condition-based Maintenance" by Bikec: Four types of diagnoses

1.Equipment diagnosisReal-time monitoring of changes in process parameters, combined with big data analysis for measurement points, valves,ASTReal-time status monitoring of important equipment such as solenoid valves is carried out to extract information such as the change rate of measurement points, change trends, range limits, and balance comparisons of similar types. Functions such as the actuator not acting upon receiving operation instructions, delayed action, large feedback deviation of instructions, poor linearity, frequent swinging, abnormal feedback status, zero position and full scale over-limit are diagnosed. Automatically determine the fault conditions such as abnormal measurement points, valve jamming, and nonlinear sudden changes. Through trend analysis and deterioration early warning, classify the fault information by alarm level, and push the analysis of abnormal causes, interlock protection and fault handling suggestions.

2.Control systemSurveillanceDCSSystemDPUAnalyze the real-time status of power supply, card components, panel cabinets, and network, analyze the status information, and make a comprehensive diagnosis by combining real-time process parameters, regular operation, service life, historical fault information, etcDCSHealth status, push fault warnings and handling measures;

3. Control performanceMonitor the automatic control loopAGCThe control performance of primary frequency regulation, sliding voltage operation, etc. is automatically calculated, and parameters such as dynamic deviation, attenuation rate, stabilization time and static deviation are evaluated. The regulation characteristics of this control loop are evaluated, the regulation quality is evaluated, and parameter adjustment strategies are pushed.

4. Protection analysisThe function consists of three levels: monitoring whether the measurement points of the protection system are normal, whether the actions are correct, and tracing the cause of 觖. It is visually presented to users in the form of logic diagrams and trend diagrams, enabling rapid location of fault points and enhancing the speed and accuracy of fault handling.

It must be measurable."Intelligent Early Warning System for Thermal Control Condition-based MaintenanceIt has excellent compatibility and scalability, supporting connection and data interaction with other system platforms. The greatest advantage: It is compatibleDCSThe system is directly integrated, with data collection reaching the second level, and can be expanded to be used as an intelligent monitoring platform.