<div style="text-align:justify;"> Gansu Province is a large province in Western China, and its geographical location and economic status are very important. With the state’s attention to the western d...<div style="text-align:justify;"> Gansu Province is a large province in Western China, and its geographical location and economic status are very important. With the state’s attention to the western development, the economy of the western region represented by Gansu Province has developed rapidly, and the construction of roads and other infrastructure has also been developed. Taking Gansu Province as an example, this paper studies and discusses the application of highway maintenance platform based on GIS + BIM Technology. Firstly, this paper expounds the advantages of GIS + BIM Technology in highway construction and maintenance, and analyzes the development status of GIS + BIM Technology;Secondly, it expounds how to solve the problem of highway maintenance from the aspects of GIS + BIM system and its advantages and difficulties in highway maintenance, and briefly explains the difficulties existing in highway maintenance in Gansu Province. Then, starting from the path of GIS + BIM Technology to solve highway maintenance in Gansu Province, this paper analyzes the expected effect of GIS + BIM Technology in highway maintenance in Gansu Province. </div>展开更多
Possessing an efficient production line relies heavily on the availability of the production equipment.Thus,to ensure that the required function for critical equipment is in compliance,and unplanned downtime is minimi...Possessing an efficient production line relies heavily on the availability of the production equipment.Thus,to ensure that the required function for critical equipment is in compliance,and unplanned downtime is minimized,succeeding with the field of maintenance is essential for industrialists.With the emergence of advanced manufacturing processes,incorporating predictive maintenance capabilities is seen as a necessity.Another field of interest is how modern value chains can support the maintenance function in a company.Accessibility to data from processes,equipment and products have increased significantly with the introduction of sensors and Industry 4.0 technologies.However,how to gather and utilize these data for enabling improved decision making within maintenance and value chain is still a challenge.Thus,the aim of this paper is to investigate on how maintenance and value chain data can collectively be used to improve value chain performance through prediction.The research approach includes both theoretical testing and industrial testing.The paper presents a novel concept for a predictive maintenance platform,and an artificial neural network(ANN)model with sensor data input.Further,a case of a company that has chosen to apply the platform,with the implications and determinants of this decision,is also provided.Results show that the platform can be used as an entry-level solution to enable Industry 4.0 and sensor data based predictive maintenance.展开更多
文摘<div style="text-align:justify;"> Gansu Province is a large province in Western China, and its geographical location and economic status are very important. With the state’s attention to the western development, the economy of the western region represented by Gansu Province has developed rapidly, and the construction of roads and other infrastructure has also been developed. Taking Gansu Province as an example, this paper studies and discusses the application of highway maintenance platform based on GIS + BIM Technology. Firstly, this paper expounds the advantages of GIS + BIM Technology in highway construction and maintenance, and analyzes the development status of GIS + BIM Technology;Secondly, it expounds how to solve the problem of highway maintenance from the aspects of GIS + BIM system and its advantages and difficulties in highway maintenance, and briefly explains the difficulties existing in highway maintenance in Gansu Province. Then, starting from the path of GIS + BIM Technology to solve highway maintenance in Gansu Province, this paper analyzes the expected effect of GIS + BIM Technology in highway maintenance in Gansu Province. </div>
基金supported by the research project Cyber Physical Systems in plant perspective(CPS-Plant)The Research Council of Norway is funding CPS-Plantgrateful for contributions and support from the case company.
文摘Possessing an efficient production line relies heavily on the availability of the production equipment.Thus,to ensure that the required function for critical equipment is in compliance,and unplanned downtime is minimized,succeeding with the field of maintenance is essential for industrialists.With the emergence of advanced manufacturing processes,incorporating predictive maintenance capabilities is seen as a necessity.Another field of interest is how modern value chains can support the maintenance function in a company.Accessibility to data from processes,equipment and products have increased significantly with the introduction of sensors and Industry 4.0 technologies.However,how to gather and utilize these data for enabling improved decision making within maintenance and value chain is still a challenge.Thus,the aim of this paper is to investigate on how maintenance and value chain data can collectively be used to improve value chain performance through prediction.The research approach includes both theoretical testing and industrial testing.The paper presents a novel concept for a predictive maintenance platform,and an artificial neural network(ANN)model with sensor data input.Further,a case of a company that has chosen to apply the platform,with the implications and determinants of this decision,is also provided.Results show that the platform can be used as an entry-level solution to enable Industry 4.0 and sensor data based predictive maintenance.
