Abstract
In this paper, the optimization of the enterprise HR information system is studied based on IoT first-off technology, the system demand phase is analysed, and the edge control system is designed and built. The hardware and software system and edge node management platform are implemented first, and then the communication scenarios between the edge layer of the system and the sensing layer, the edge layer, and the cloud layer are analysed, and the business type-driven link selection algorithm and the northbound multilink switching algorithm are designed and implemented, respectively, to guarantee the communication reliability between different layers of the system. Based on the implementation of the above functions, the edge control system can meet the intelligence, expandability, and security requirements of IoT applications. An in-depth investigation and research are launched mainly on the enterprise demand to determine the functional requirements and performance requirements of the enterprise and to achieve the basic logical structure; in the system design phase, the system architecture and other aspects of the design are realized. According to the conditions of the system function structure, a number of system module functions are designed in detail. The system is composed of the following modules, namely, personnel change management, organization management, and salary and benefits management. The system consists of the following modules, namely, personnel change management, organization management, compensation and benefits management, and personnel information management. The system modules run through the process of human resource management; in the system implementation stage, the system coding and page operation are realized based on the development tools and software development techniques. The system finally achieves the system design objectives and is put on a trial operation to meet its actual business requirements.
Highlights
Due to the advent of the information age and the rapid development of economic globalization, the market environment has shown corresponding changes, and under the influence of this background condition, many enterprises have begun to realize that they should give full play to the value of human resources and turn them into their competitive advantage; to achieve this goal, must we build a sound human resource management strategy and must use various techniques [1]
It is necessary to build a sound human resource management strategy and to use various technical means to ensure the implementation of the human resources strategy [2]
IoT search refers to the use of relevant measures to obtain various information from the IoT, store, and manage this spatial-temporal data information in an organized and orderly manner so that it can be searched by users [4]. e maturity of big data and 5G technology has completed the explosive growth of IoT business data, and this data volume is undoubtedly demanding in terms of computing power [5]. e architectural model of cloud computing has been relatively
Summary
Due to the advent of the information age and the rapid development of economic globalization, the market environment has shown corresponding changes, and under the influence of this background condition, many enterprises have begun to realize that they should give full play to the value of human resources and turn them into their competitive advantage; to achieve this goal, must we build a sound human resource management strategy and must use various techniques [1]. E prediction mechanism used by the Dyer system, while speeding up the efficiency of searching for spatialtemporal data information in the IoT, reduces the precision of the query, allowing it to be applied in the IoT environment where system resources are more restricted [18] These systems described above are usually singlefunction IoT search systems, which are not capable of handling multiple types of IoT spatial-temporal data simultaneously [19]. Human resources are blood and very important resources
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