This invention relates to the field of thermal power
plant boiler equipment technology, and in particular to a method and
system for self-diagnosis of faults in unattended thermal power
plant boiler equipment. The method collects data on
thermal efficiency,
heat flow distribution, and environmental parameters under different operating conditions to construct a thermal characteristic dataset. Based on changes in thermal gradient and combined with
system geometry and material thermodynamic parameters, it analyzes the trends of heat accumulation and dissipation, generating a three-dimensional thermal anomaly distribution map and thermal risk accumulation rate data. Based on this, it constructs a thermal
path network model, identifies thermal risk propagation paths, determines the fixed and dynamic sensing point locations of potential fault areas, and forms an optimized
layout scheme for sensing points throughout the entire
operating cycle. Monitoring devices are deployed in key areas to collect operational data, extract thermal dynamic characteristics, identify abnormal
heat transfer modes, achieve accurate self-diagnosis of equipment faults, and trigger fault warning and self-repair mechanisms, effectively supporting intelligent operation and maintenance and continuous heating assurance of thermal power
plant boilers in unattended scenarios.