6 results about "Ground staff" patented technology

The invention discloses an airport ground crew intelligent scheduling method and system based on a Bron-Kerbosch maximum clique algorithm, and the method comprises the steps: obtaining employee information and task information from an external system, and carrying out the data preprocessing and virtual employee supplement; splitting tasks according to manpower demands and generating an executable employee set; a time conflict matrix is constructed, and a Bron-Kerbosch maximum clique algorithm is executed; defining decision variables, constructing constraint conditions and setting a multi-objective hierarchical optimization function; calling a mixed integer programming solver to solve the model; and generating a distribution scheme and performance statistical data. According to the method, a composite task is decomposed into independent sub-tasks through intelligent task splitting, a time conflict matrix is constructed, a Bron-Kerbosch algorithm is adopted to identify a maximum clique, a multi-target mixed integer programming model is established to balance a task allocation rate and resource balance, and a virtual employee mechanism is designed to ensure system robustness.

The application relates to the field of aviation display and augmented reality technology, in particular to a head-mounted HUD perspective display and control system based on multi-source fusion, which is suitable for aircrafts and comprises a multi-source data acquisition module, a unified space-time calibration module, a positioning and attitude sensing module, an image registration and perspective view generation module, a display imaging module and a mode triggering and management module. The system supports multiple modes such as extravehicular perspective mode, cargo cabin perspective mode and passenger cabin perspective mode, can fuse visible light data and thermal imaging data, is suitable for rapid situation awareness and safety decision in flight operation and ground operation, and through combination of multi-source camera acquisition, AI position and attitude registration, space registration and perspective mapping, multi-mode intelligent switching and delay fault tolerance mechanism, the perspective display of extravehicular, cargo cabin and passenger cabin in the flight operation scene and the ground operation scene is well realized, and the situation awareness and emergency disposal capability of pilots and ground staff is significantly improved.

The invention relates to an early warning system and method for preventing an airport control area from being invaded. The system comprises a positioning reference network; the anti-intrusion intelligent terminal is used for activating the identity binding of a worker, and the worker carrying the anti-intrusion intelligent terminal passes the verification of the fixed identity binding terminal and then enters an airport control area; the anti-intrusion intelligent terminal comprises a processor, a positioning module and an acousto-optic vibration early warning module, the positioning module is used for receiving a positioning signal of the positioning reference network, and the processor judges the sub-area of the control area where the positioning signal is located and controls whether the acousto-optic vibration early warning module sends out an early warning signal or not according to the authority of different sub-areas. According to the invention, individual, high-precision and dynamic authorization can be carried out on airport ground workers so as to realize early warning for preventing an airport control area from being invaded.

This application relates to the field of digital key technology, and particularly to a perception method, device, vehicle, and storage medium for dual driving scenarios. The method includes: generating key information based on terminal instructions from corresponding terminals in different scenarios and synchronizing it to the vehicle; determining a broadcast mode based on the terminal and the current scenario, and controlling the vehicle to parse the key information based on the broadcast mode to obtain a key verification result; determining the actual distance between the terminal and the vehicle based on the received signal strength indication when the key verification result is successful; and generating control instructions for the vehicle based on the terminal, the broadcast mode, and the actual distance. This solves the problems in related technologies, such as lack of differentiated adaptation for passenger and ground staff scenarios, cumbersome interaction processes, slow wake-up responses, lack of hierarchical permission control mechanisms leading to permission conflicts, difficulty in balancing response speed and low power consumption requirements, and inability to meet the requirements of efficient and secure control in multiple scenarios.

The application discloses an airport ground staff intelligent scheduling method and system based on a Bron-Kerbosch maximal group algorithm, and the method comprises the following steps: obtaining staff information and task information from an external system, and performing data preprocessing and virtual staff supplement; splitting tasks according to manpower demand and generating an executable staff set; constructing a time conflict matrix and executing the Bron-Kerbosch maximal group algorithm; defining a decision variable, constructing a constraint condition and setting a multi-objective hierarchical optimization function; calling a mixed integer programming solver to solve the model; and generating an allocation scheme and performance statistical data. The application decomposes a complex task into independent subtasks through intelligent task splitting, constructs a time conflict matrix, adopts the Bron-Kerbosch algorithm to identify a maximal group, establishes a multi-objective mixed integer programming model to balance a task allocation rate and resource balance, and designs a virtual staff mechanism to ensure system robustness.

This utility model provides a remote control device for air conditioning in a boarding bridge, including a bridge compartment. A vehicle-mounted air conditioner is fixedly installed on the top of the bridge compartment. The vehicle-mounted air conditioner is communicatively connected to a PLC control module via an air conditioning remote controller. Cross-flow fans are fixedly installed on both the left and right sides of the bottom of the bridge compartment. The cross-flow fans are communicatively connected to the PLC control module via relays. The input terminals of the PLC control module are communicatively connected to the airport control system. Temperature sensors and air quality sensors are communicatively connected to the analog input terminals of the PLC control module. The control of the vehicle-mounted air conditioner and cross-flow fans within the bridge compartment is dually managed by the airport control system and the PLC control module, serving as backups for each other. For safety management purposes, the PLC control module does not involve control of the bridge compartment's drive and height adjustment components, simplifying the debugging requirements of the PLC control module and reducing the maintenance burden and technical difficulty for ground staff.