6 results about "Punctuality" patented technology

The invention discloses a time synchronization information security review method and system based on self-timekeeping, and relates to the data processing and password technology, and the method comprises the steps: receiving clock information input of a higher-precision external node, and taking the clock information input as a reference to measure the time difference of a local clock; a time difference model is trained in advance according to historical time difference data; according to the trained time difference model, the measured time difference is examined based on data division and data fitting, so that an examination result is obtained; and updating the local clock according to the review result. According to the embodiment of the invention, training and fitting are carried out on a large amount of historical data at a local clock end, so that a relatively accurate and reliable data change trend on a specific data bit in clock information is obtained, and preliminary prediction and review functions on the specific data bit in the future are realized; the possibility of successful transmission of illegal information and the influence of the illegal information on the time synchronization precision of the system are greatly reduced, and the safety and reliability of the time synchronization system are remarkably improved.

The invention discloses a sub-microsecond timekeeping method suitable for an overhead line fault monitoring terminal, and belongs to the technical field of power system power transmission line fault monitoring, and the timekeeping method comprises the following specific steps: I, receiving and smoothing a 1PPS signal output by a satellite, and updating an average count value in real time; iI, comparing the count value per second output by the temperature compensation crystal oscillator with the average count value in real time, and dynamically adjusting the output frequency of the temperature compensation crystal oscillator according to a comparison result; iII, automatically switching a working mode in real time according to the quality of the 1PPS signal output by the satellite; according to the invention, low cost, low power consumption and submicrosecond-level high-precision time keeping are realized, and the method is suitable for applications with limited energy taking, such as an overhead line distributed fault distance measurement terminal and the like.

The invention discloses a rail transit train cooperative scheduling method, and belongs to the technical field of train scheduling. The method comprises the following steps: firstly, constructing a single-train local objective function and constraint containing elements such as net power and punctuality error, and then, establishing a multi-train total objective function and constraint according to the single-train local objective function and constraint; decomposing the total objective function to obtain a global coordination item, and fusing the global coordination item into a local objective function to form a local sub-problem; and finally, solving a local sub-problem and sending a prediction trajectory, checking trajectory conflicts by a signal coordinator, and updating a global variable and a Lagrangian multiplier vector until convergence to realize multi-objective optimization and line global energy consumption optimization.

The application discloses a bus punctuality control method, device and equipment and a storage medium, relates to the technical field of traffic signal control, and the bus punctuality control method comprises the following steps: acquiring phase sequence data of each intersection on a bus operation route; determining a punctuality control constraint condition of the bus for any intersection based on the phase sequence data of the intersection; determining a target time window of the bus arriving at the intersection according to the punctuality control constraint condition; and finally, performing punctuality control on the bus according to the target time window, so that the bus arrives at the intersection within the target time window and waits for traffic at the intersection. The application can realize punctuality control of the bus.

The application discloses a rail transit train cooperative scheduling method and belongs to the technical field of train scheduling. The application firstly constructs a single train local target function and constraint containing net power, punctuality error and other elements, and then establishes a multi-train total target function and constraint in accordance with the single train local target function and constraint. Subsequently, the total target function is decomposed to obtain a global coordination term, which is integrated into the local target function to form a local sub-problem. Finally, the local sub-problem is solved and a predicted trajectory is sent, the trajectory conflict is checked by a signal coordinator, and the global variable and Lagrange multiplier vector are updated until convergence is achieved, so that multi-objective optimization and line global energy consumption optimization are realized.

The invention discloses a machine learning-based punctuality system fault detection method, system and device and a storage medium, relates to the field of system fault detection, and aims to solve the problem that the reliability and service quality of a system are affected due to the fact that it is difficult to establish an effective mechanism model for fault detection and prediction through a traditional method. The method comprises the following steps: acquiring fault sample data, and generating a feature vector; constructing a target vector; carrying out random initialization on a weight matrix and an offset vector of a hidden layer in the pre-constructed fault detection network model; calculating an activation value of each node of the hidden layer, and constructing an activation matrix based on a plurality of activation values; a connection weight from a hidden layer to an output layer; training the fault detection network model until convergence to obtain an optimal model; and acquiring operation state data of the time keeping system in real time, constructing a fault feature set, and inputting the fault feature set into the optimal model to obtain a fault diagnosis result. According to the invention, the accuracy and real-time performance of fault detection of the time keeping system are improved.