Smart Integrated Multiple Tracking System development for IOT based Target-oriented Logistics Location and Resource Service

Abstract

With the rapid development of the IoT market many institutions are researching and developing various integrated IOT service platforms. Among them the development of IoT based tracking system requires a platform environment that can check in real time the target-oriented logistics movement status in industrial sites and social environments and manage resources. Previous related researches studied about particular single object tracking and about establishing a linkage process, but there were no studies about systems using Multiple Tracking System that target a variety of objects to establish a total task process such as for materials, personnel, and operations and process management. The study developed an efficient target-oriented smart integrated multiple tracking system that looks up object location based on real time and guarantees the accuracy and reliability of logistics location and resource management by combining the function of multiple tracking system.

The Adoption of IOT in the Malaysian Construction Industry: Towards Construction 4.0

“…The site monitoring in construction is divided into two-part, which are tracking of human (track worker) and machinery (track the machinery) activities on site (Boje, Guerriero, Kubicki, & Rezgui, 2020). The used of the IoT for monitoring aspect is to facilitate the project team to keep on track and recorded the massive volume and variety of data during the whole project lifecycle automatically with the precise data, which cannot be handled manually by the project team (Kim, Lee, Oh, & Author, 2015). Additionally, through IoT, the information from the human tracking and machinery are recorded using GPS, RFID, sensor and drones.…”

Predictive Maintenance of Bus Fleet by Intelligent Smart Electronic Board Implementing Artificial Intelligence

“…In this scenario, ODB II connector has been adopted in [9,10] to acquire data for the fuel consumption trend, which could therefore indirectly provide indications on the analysis of drivers behavior and in a certain way is able to predict the vehicle wear (the fuel consumption is a parameter that is a function of the acceleration and of the vehicle speed). The analysis, mainly derived from the speed and consumption indications of a bus, can also be carried out by analyzing the data acquired by global positioning systems (GPS) [11][12][13][14][15][16][17][18][19],…”

Noise‐aware manoeuvring target tracking algorithm in wireless sensor networks by a novel adaptive cubature Kalman filter

“…industrial automation, intelligent logistics, smart home, wisdom mall etc. [4–7]. In these applications, it has become a key technology to acquire the precise locations of mobile targets.…”