34results about How to "Reduce false alarm probability" patented technology

The invention provides an early warning method and device for equipment performance and monitoring equipment. The early warning method comprises the steps: determining S performance periods of to-be-monitored equipment in a sampling time period according to the change trend of the performance data, collected in the sampling time period, of the to-be-monitored equipment along with the time; dividing any one performance period Ti in the S performance periods into m sub-time intervals, and determining a first fluctuation interval corresponding to the jth sub-time interval according to the performance data of the to-be-monitored equipment in the jth sub-time interval in each performance period; and determining a second fluctuation interval corresponding to the jth sub-time interval according to the similarity between the Tijth sub-time interval and each Tkjth sub-time interval. According to the early warning method, the current performance data of the to-be-monitored equipment is collected, and whether the performance of the equipment is early warned or not is determined according to the current performance data, the first fluctuation interval and the second fluctuation interval, so that the early warning missing probability is reduced while the early warning range is expanded, and the early warning accuracy is improved.

The invention relates to a fault identification and positioning method and system of an intelligent photovoltaic power generation system. The fault identification and positioning method comprises the following steps: S1, obtaining an association coefficient of a photovoltaic power generation unit relative to other photovoltaic power generation units; S2, establishing a fault determination basis of the photovoltaic power generation unit; and S3, carrying out fault identification and positioning on a faulted photovoltaic power generation unit. According to the invention, on the basis of discrimination of distances among all units and real-time combined generation efficiencies of all the units of the photovoltaic power generation system, data analyses are carried out to realize accurate identification and positioning of faults of the intelligent photovoltaic power generation system, thereby substantially reducing the false fault alarm probability and improving fault identification accuracy and fault positioning precision of the intelligent photovoltaic power generation system. Meanwhile, no extra professional fault diagnosis device is needed for the photovoltaic power station and thus costs are lowered. The method and system have broad application prospects.

The application provides an early warning method, device, and monitoring equipment for equipment performance. The method includes: determining the S performance period; and any performance period T in the S performance period i Divide it into m sub-time intervals, determine the first fluctuation interval corresponding to the j-th sub-time interval according to the performance data of the equipment to be monitored in the j-th sub-time interval in each performance cycle; then according to the T ij sub-time intervals and each Tth kj The similarity between the sub-time intervals determines the second fluctuation interval corresponding to the j-th sub-time interval; collects the current performance data of the equipment to be monitored, and determines whether the equipment is correct according to the current performance data, the first fluctuation interval and the second fluctuation interval. The performance of the early warning, while expanding the scope of the early warning, reduce the probability of missed warning, thereby improving the accuracy of the early warning.