Research On The Key Technology Of Intelligent Property Patrol System

In recent years,with the continuous development of computer and network technology,many occasions have begun to utilize intelligent property patrol systems.Traditional manual management methods will increase the workload of property patrol personnel,and are prone to have errors,poor efficiency,and patrol problems cannot be given timely feedback.Compared with traditional methods,the intelligent property patrol system has the advantages of intelligence and automation,which can improve the work efficiency of property management personnel and save the time spent on property patrol.Based on the actual project of a communications company’s intelligent property patrol,this paper designs the system architecture and database structure with the idea of before and after the separation and unified data interface and analyzes the core function module of the system according to the development method of software engineering and based on demand analysis.For patrol users with different responsibilities and large age ranges,etc.Combined with adaptive user interface technology,a collaborative filtering recommendation algorithm based on user behavior is proposed,and the cold start problem of new users is solved according to user responsibilities;this algorithm implements function recommendation on the home pages of the patrol App,simplifies the patrol App interface,and is convenient for patrol personnel of all ages to use.To optimize the patrol route,this essay proposes a planning model based on an improved ant colony algorithm.The algorithm changes the pheromone volatilization coefficient ρ from a fixed value to dynamic.It can speed up the convergence speed and avoid falling into the local maximum,and it can be used to assist in formulation patrolling routes and patrolling operations to improve patrolling efficiency.The system was deployed and tested on the Alibaba Cloud server.The actual application results show that the system is suitable for patrol operations in real estate,freight yard,electric power and other fields.The main innovations of this paper are as follows:(1)Combine architectures such as Vue.js and SpringBoot to design an intelligent property patrol system;(2)Propose a collaborative filtering recommendation algorithm based on user behavior,the cold start problem of new users is solved according to user responsibilities,simplify the App homepage interface,and improve the user’s ease of use;(3)Put forward an improved ant colony algorithm,this algorithm changes the pheromone volatilization coefficient ρ from a fixed value to a dynamic change.The establishment of a patrol route planning model has reference value and application prospects.