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This article deals with the problem of voltage class selection taking into consideration all of the life-cycle periods of a gas field based on the data from the existing gas fields in Western Siberia. The incorrect voltage class may hinder the operation of the gas field at the final relief stage. The work aims to develop criteria and algorithms for the selection of the best voltage class for the external power supply system at gas fields taking into consideration their entire life cycle. To achieve the goal set, we dealt with the following objectives: analyzing literature on gas field development technology, analyzing the actual rated electrical load in every life cycle period of the gas fields in Western Siberia; analyzing literature on the methods of determining the voltage class for industrial facilities; analyzing the existing criteria and developing new criteria for the selection of the best voltage class taking into consideration the entire life cycle of the gas fields in Western Siberia; developing a formula for the objective function to calculate the voltage class; developing selection guidelines for the best voltage class of the power supply system of gas fields that would take a number of shifting parameters throughout their life cycles; developing a generic programmatic selection algorithm for the best voltage class, and studying the power mains of the external power supply system at the existing gas fields in Western Siberia. Our research relied on the following methods: experiment planning (complete factorial experiment) and computer programming methods.

Big data technology, as a series of processing methods for mass data storage, calculation, statistics, analysis and processing, has played an important role in the development of China’s industry and has continuously promoted the innovation and development of traditional industries. The health management industry is based on the current status of China’s population, and the goal of personnel training covers the health screening, analysis, and decision-making of the entire life cycle of the population. Based on the large population base in China, there is a practical need for the integration of big data technology and health management. The analysis and processing of big data technology will also provide a more convenient reference for health management. The combination of big data technology and health management is also one of the directions for the development of public health. This article analyzes the current status of health management integration in the context of big data, analyzes the problems at the current stage, and proposes solutions to explore ways to provide a reference for the cross integration of health management and big data technologies.

This paper focuses on utilizing the life cycle analysis and other assumptions. For the life cycle cost section, the market price of one set of front loading washing machine is considering the cost for each life cycle stage that could be acquired from the data sources. Additionally, the LCC analysis could compare the initial investment options of the current front loading washing machine which calculated by a series of formulas and identified the minimum cost in each life cycle stage. According to the LCA and LCC results during the entire life cycle stages of the front loading washing machine, the procedure of eco-design could improve the hotspots of ecological impacts and reduce the pending expenses through some radical measures. Therefore, reducing energy consumption and improving the recycling rate would immensely enhance the hotspots of the redesigned product.

In order to overcome the shortcomings of the existing semisubmersible platforms, based on care investigation into various factors affecting the quality of floating platforms, a new concept of jackup combined semisubmersible multifunction platform named JCSM was developed. The JCSM integrates the advantages of the jackup platform and the semisubmersible platform. Also, the comprehensive performance of the JCSM is improved by optimizing the details of the topological structure. Therefore, the JCSM is well-suited for either wet tree or dry tree developments in harsh environments. Meanwhile, it possesses a variety of attractive functions covering drilling, early production, workover, oil and gas treatment, oil storage and unloading, and etc. Thus, a JCSM can be used throughout the entire life cycle of deepwater oil and gas field development, which can greatly help reduce the capex and opex and obtain higher economic benefit. The JCSM is an innovative alternative to the conventional semisubmersibles and a new choice provided for the development of offshore oil and gas fields in the future. The advantages of the JCSM was elaborated and analysed from mechanics perspective in the paper. This study will provide reference for the development of creative floating platforms.