Construction And Research Of Police Equipment Management Platform Based On Intelligent Dispatchin

With the rapid development of Internet of Things technology and WEB innovation,building an intelligent management system is accelerated in police asset management.In the past ten years,the construction of police equipment has been fruitful.Since all grassroots police officers are equipped with police equipment,the traditional police equipment management model is no longer applicable.In order to standardize the management of police equipment and improve the efficiency of police work,it is essential to design an equipment intelligent management platform for primary police stations.Firstly,this thesis introduces the research background of police equipment management systems.Based on reading a large amount of literature,the main research content of this topic is cleared by analyzing the research status at home and abroad.The platform is divided into five functional sub-modules to meet the requirements of police station equipment management.Secondly,the design and implementation of the platform are described in detail.The platform is built by a six-layer architecture based on front-end and back-end separation.Multiple technologies are applied to realize each module’s functions,such as Quartz,Redis,and branch and bound method,etc.The Netty framework is used to implement communication services,which is the key to realizing the perceivable management of police equipment.A communication protocol is designed to standardize the communication between the platform and the terminal through Google Protocol Buffer and JSON technology.The equipment scheduling problem is the focus of this thesis.It is transformed into a symmetric and asymmetric mixed traveling salesman problem.A fusion algorithm with a competition mechanism is designed to solve it.The robustness of the ant colony algorithm is used to ensure the quality of the algorithm,and the clonal selection algorithm,which has efficient global searchability,is used to improve the convergence speed and solution accuracy.Through simulation experiments on various types of TSP examples,it is verified that the fusion algorithm’s performance meets the algorithm’s design requirements.The algorithm is applied to the actual equipment scheduling business for testing,and the Baidu map is used to realize the visual display.The results prove that the algorithm can support the equipment scheduling function.Finally,summarize the main work of this paper and put forward prospects for the follow-up research work.This thesis designs a police equipment management platform for police stations.Before the platform goes online,it has passed the functional and non-functional tests.After deployment and online,the equipment management and related police work requirements of police stations have been met.