Casco Signal Co., Ltd.

Casco Signal Ltd.

Pengfei Tu

Enhua Hu

Xiaofeng Liu

Xiangbo Yang

Xingyu Zhou

Cunren Zhu

Jiliang Zhang

A data consistency control method, applied to a centralized railway signal monitoring system, includes: acquiring, by a center of the centralized railway signal monitoring system, all data in a local and target time intervals; encoding, by the center, all the acquired data according to a type of the data to generate a first data consistency identifier; sending, by the center, a data consistency detection command to a station, and inquiring, by the station, all the data in the local and target time intervals upon receiving the command and encoding the data to generate a second data consistency identifier, and returning the second data consistency identifier to the center; and comparing, by the center, the first data consistency identifier with the second data consistency identifier, and finishing data consistency control in a case that the first data consistency identifier and the second data consistency identifier that are compared are consistent.

Data consistency control method applied to railway signal centralized monitoring system

A safety information supervision apparatus applied to a high-speed rail signaling system includes a communication processor, a Radio Block Center (RBC) interface machine, a Centralized Traffic Control (CTC) interface machine, a supervision and analysis server, an analysis terminal, and a storage device, where the communication processor and the RBC interface machine are communicatively connected to the supervision and analysis server through a monitoring network. The CTC interface machine is communicatively connected to the CTC system of a station and the supervision and analysis server, so as to obtain train information in the CTC system and to transmit an analysis result of the supervision and analysis server to the CTC system through the CTC interface machine. Multi-source data fusion analysis is used to perform filtering and validity analysis on basic data, thereby reducing false alarms.

Safety information supervising apparatus applied to high-speed rail signaling system

The present invention relates to a fault diagnosis and intelligent warning method for monitoring a system device, including the following steps: step 1. establishing independent alarm analysis logic and independent recovery analysis logic based on a fault model of each alarm; step 2. controlling the alarm logic and the recovery logic to be mutually exclusively executed; the step 3. performing delay processing on an alarm event and a recovery event; and step 4. establishing a cascading relationship between alarm events generated after the delay processing: establishing an alarm cascading group based on a relationship between different alarm events, automatically determining, by using generation of an alarm event as a triggering condition, whether alarms in a same cascading group simultaneously exist within a time, and generating association information between alarm events. Compared with the prior art, the present invention has the following advantages: reducing a probability of occurrence of false alarms, reducing a quantity of invalid alarms, reducing storage space overheads, reducing system CPU consumption, reducing workloads of maintenance personnel, and the like.

Fault diagnosis and intelligent warning method for monitoring system device

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Shanghai, China

Pengfei Tu