Abstract
The paper studied information technology in relation to the decision-making process in the management of the technical condition of transport and technological machines in forestry. The export of timber and forest products by road has a seasonality, which greatly limits its working time during the year. During this period, the requirements for the technical readiness of the fleet of transport-technological machines of a logging enterprise increase significantly. To reduce the downtime of transport and technological machines, it is planned to develop a software and hardware complex that works on the basis of an advisory information interactive system, which allows optimizing the time for troubleshooting and eliminating it. The implementation of the software and hardware complex in the system of maintenance and repair of transport and technological machines will increase the speed of the quality of technical decisions to ensure their performance. The paper considers the concept of creating an advising system based on deep neural networks.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
