Intelligent acquisition and analysis method for Internet of Things data

Abstract

The invention provides an intelligent acquisition and analysis method for Internet of Things data, which is supported by the following modules: a business data interface, an external system interface,a business scheduling core class, an interface custom class, an acquisition scheduling control class and so on; the business acquisition class must manage a corresponding relationship between own business steps and a communication protocol; and an acquisition scheduling controller is only responsible for dynamically establishing a run-time object relationship between the business steps and the communication protocol. The business acquisition class realizes a specified interface method required by the acquisition scheduling controller and is used for realizing the initiation of an acquisitiontask, executing a next instruction, ending, abnormal retransmission, abnormal stopping, fault processing and other acquisition process control functions. Framework users only need to code, according to the interface appointment, to implement the related acquisition required by a specific business, state machines, and protocol business classes. When an acquisition server is allowed, configuration parameters are loaded automatically, related business logic objects are dynamically created, and dependency injection is completed, so that a whole system can complete communication and acquisition tasks according to the specific business requirement.

Description

technical field [0001] The invention relates to the technical field of Internet of Things data analysis and processing, in particular to an intelligent collection and analysis method for Internet of Things data. Background technique [0002] With the gradual expansion of the field of industrial-grade collectors of the Internet of Things, the number of objects is increasing geometrically, and the information of the Internet of Things is bound to grow explosively, and the ensuing visits are bound to be unprecedentedly high. [0003] In communication systems such as real-time monitoring and data acquisition, the usual design is to independently encapsulate the logical functions of data acquisition or communication with the underlying logic units (such as: underlying software subsystems, hardware terminals, and remote devices) in a sub- In the system, network communication and data acquisition responsibilities such as basic communication sending and receiving, communication mode...

AI Technical Summary

Problems solved by technology

[0004] These systems are also generally clearly layered and categorized in terms of subsystem design and division of responsibilities, but there are many common problems in the design and implementation of the core "communication acquisition subsystem", which leads to incomprehensibility of the entire subsystem, Maintainability, testability, and poor adaptability to changing requirements

The concentrated expression is: the entire system is designed as a "very large" "business scheduling control class", without splitting and encapsulating responsibilities; all business processing functions are completed in the communication mode implementation class; for multi-task concurrency, multiple The management of simultaneous uplink and downlink communication of equipment is very complicated; the adaptability to changing requirements is very poor; the system code has almost no reusability

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