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 present invention is characterized in a method comprises a first step of arranging data positions as cell data forms by using distances as indexes by a register after inputting Range Data of a radar signal; a second step of scanning the register by a Sliding Window, assigning at least more than one Test Cell, and assigning at least more than one Reference Cell; a third step of respectively comparing data values of the Test Cells and data values of the Reference Cells by a comparator; and a fourth step of processing the Test Cells having the data values smaller than that of the Reference Cells as noises, according comparative results of the comparator, by determining the Test Cells having the data values larger than that of the Reference Cells as target data.

The invention relates to a method for fault diagnosis and intelligent early warning of monitoring system equipment, comprising the following steps: step 1, establishing independent alarm analysis logic and recovery analysis logic based on each alarm fault model; step 2, controlling the alarm logic and The recovery logic is mutually exclusive; Step 3: Delay processing of the alarm event and the recovery event; Step 4: Establish a cascade relationship for the alarm events generated after the delay processing: according to the relationship between different alarm events, establish the alarm level Cascading groups, with the occurrence of alarm events as trigger conditions, automatically judge whether the same cascading group alarms exist at the same time within a certain period of time, and generate correlation information between alarm events. Compared with the prior art, the present invention has the advantages of reducing the probability of false alarms, reducing the number of invalid alarms, reducing storage space overhead, reducing system CPU consumption, and reducing the workload of maintenance personnel.

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.