3results about How to "Avoid fault expansion" patented technology

This invention discloses an automatic alarm system for abnormal property equipment based on multi-sensor fusion, specifically relating to the field of property equipment management. The invention utilizes a multi-source sensor module to deploy vibration, temperature, current, sound, and infrared sensors at key locations, collecting multi-dimensional data with equipment numbers, type identifiers, and time-series tags. A data fusion processing module employs Kalman filtering to eliminate noise, combines D-S evidence theory to fuse multi-source information, and dynamically filters valid data based on equipment type, operating stage, and aging parameters provided by the information filing unit. An anomaly analysis module constructs a risk assessment model, calculating the stage anomaly risk coefficient and the comprehensive anomaly risk coefficient. An intelligent alarm module sets three-level warning thresholds, triggering differentiated alarms via APP push notifications, SMS messages, and voice calls, and generating a structured log containing risk tracing and handling suggestions.

This application discloses a parallel system control method, electronic device, storage medium, and product, belonging to the field of parallel control technology. The parallel system control method includes: acquiring operating data of the host and slave devices in the parallel system through a host in the parallel system, wherein the host is connected to a designated sensor for monitoring the global operating status of the parallel system; performing fault detection based on the operating data to obtain fault detection results; when the fault detection results indicate that the host has an internal fault, controlling the host's function execution circuit to stop working while maintaining the normal operation of the host's sampling circuit and communication circuit; collecting monitoring data from the designated sensor through the host's sampling circuit; and controlling the parallel system based on the sampling data and monitoring data reported by each slave device and the host's communication circuit. The embodiments of this application can improve the availability and power output continuity of the parallel system.

This invention relates to the field of industrial Internet of Things (IoT) technology, and in particular to an anomaly detection and source tracing analysis system and method based on an information model. The system includes a data acquisition and storage module, an information model construction and management module, an indicator construction and calculation module, an anomaly detection module, a source tracing analysis module, and a result output and visualization module. This invention integrates multi-dimensional data to construct a graph-structured information model, unifying data from different sources into the information model. Through entities, attributes, and relationships within the information model, the dependencies between various indicator data are clarified, achieving comprehensive source tracing of anomalies. Compared to traditional methods that only focus on a single type of data or local indicator correlations, this invention can uncover all potential data correlations related to anomalies from a holistic system perspective, avoiding incomplete source tracing problems caused by missing data dimensions.