Exit bill lading unmanned early warning system and algorithm based on machine learning

• Main Authors: CHEN YAO, DING BAOGUO
• Format: Patent
• Language: Chinese; English
• Published: 24.02.2023
• Subjects: ALARM SYSTEMS; CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; ORDER TELEGRAPHS; PHYSICS; SIGNALLING; SIGNALLING OR CALLING SYSTEMS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention relates to an exit lading order unmanned early warning system and algorithm based on machine learning, and the system comprises a dynamic updating module, a GPS navigation module, an information tracking module, an information collection module, a main control analysis system, and a push early warning module. The dynamic updating module, the GPS navigation module and the information tracking module are respectively connected with the information acquisition module, the information acquisition module is connected with the main control analysis system through the first transmission module, and the main control analysis system is connected with the pushing early warning module and is connected with the background server through the second transmission module. According to the exit lading bill unmanned early warning system and algorithm based on machine learning, early warning is carried out on various abnormal condition pushing through early warning pushing, so that a carrier can quickly obtain shi