Efficiency of bulk transports using IoT and dynamic weighing

Reference number
Funding from Vinnova SEK 1 179 661
Project duration November 2018 - December 2020
Status Ongoing
Venture Transport Efficiency
Call 2018-02072-en

Purpose and goal

The project aims to take advantage of all benefits of dynamic weighing such as reducing environmental impact, saving time, adjusting administrative and other processes of weighing such as load identification, quality, and weighing of very long vehicles on a short weigh bridge. The project will investigate whether machine learning and other new technologies can handle identification of, for example, load quality when a vehicle passes the weigh bridge without stopping.

Expected results and effects

Through dynamic weighing, create new environmental friendly and economic values, build new business models for bulk merchandise, eliminate queues, find effective identification and traceability methods without stopping the vehicle as well as automated administration. Results: 1 Mapping process, analysis, proposals for concrete solutions 2 Mapping of regulations in different markets and market research 3 Emission and fuel economy model 4 Process analysis, time study, waiting times for drivers and weighing of longer vehicles 5 Create Demonstration Facility

Planned approach and implementation

Requirement analysis on potential IoT processes, workshops, create process model to streamline, implement design workshops for IoT architecture, mapping of regulations in different markets. Develop interface between dynamic weighing and administrative systems Create calculation models for fuel and emission model Test and evaluation of system solution in test environment at Vara Lagerhus Presentations in the test environment, final report, seminar, articles to the media in transport and agriculture, trade fair with lectures and preparation of market introduction

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 12 October 2018

Reference number 2018-02709

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