scholarly journals The analysis of modern tools of positioning of the working mechanism road construction ma-chines on building

Author(s):  
Oleksandr Yefymenko ◽  
Tetiana Pluhina

The task of positioning the working mechanisms CRM at this time is not enough. As a result of the analysis the purpose of research is set, namely: to increase of functioning efficiency mechanisms CRM with working environment using mathematical models and adaptation algorithm in a limited time decision. Such methods of analysis include fractal analysis, neural network method, fuzzy set method, geostatistical data analysis. The element base of positioning systems and benefits of implementation are substantiated. The use of a GPS intensifier makes it possible to predict the work of actuators CRM in real time. The result of the research is algorithm of positioning the working mechanisms CRM: determination of the location of the base CRM in a 3-dimensional coordinate system; filtering measurements; predicting the position of the working mechanism (the algorithm for choosing a solution for the state of the monitored object is based on both the probability of obtaining certain results and their usefulness). The originality lies in the fact that the using modern information and software tools allows to describe the trajectory in the coordinate system of the base machine in accordance with the point measurement, and describe the relationship between changed coordinates, which makes it possible to model and predict the workflow. Proposals for the use of software in positioning systems, which provides adaptive optimization and advantages of introduction of the newest technologies of intellectualization of work processes.

Author(s):  
Oleksandr Yefymenko ◽  
Tetiana Pluhina

The study of the task of positioning the working mechanisms of construction and road machines (CRM) of using GPS intensifier was carried out. The analysis of existing researches and publications, in which the main problem is highlighted, namely that the task of positioning the working mechanisms CRM at this time is not enough. As a result of the analysis the purpose of research is set, namely: to increase of functioning efficiency mechanisms CRM with working environment using mathematical models and adaptation algorithm in a limited time decision. The task of monitoring parameters using Kalman or Wiener filters which to take machine vibrations into account, deviations in working operations, changes in weight, etc. have been substantiated. The use of a GPS intensifier makes it possible to predict the work of actuators CRM in real time. The result of the research is algorithm of positioning the working mechanisms CRM: determination of the location of the base CRM in a 3-dimensional coordinate system; filtering measurements; predicting the position of the working mechanism. The originality lies in the fact that the using Kalman or Wiener filters allows to describe the trajectory in the coordinate system of the base machine in accordance with the point measurement, and describe the relationship between changed coordinates, which makes it possible to model and predict the workflow.


1992 ◽  
Vol 1992 (172) ◽  
pp. 487-499 ◽  
Author(s):  
Mitsuyasu Nagahama ◽  
Shin-ichi Nagahama ◽  
Yukiharu Nekado ◽  
Takae Yamamori ◽  
Tohru Hori

2020 ◽  
Vol 12 (8) ◽  
pp. 3340
Author(s):  
Isabella Bonacci ◽  
Andrea Mazzitelli ◽  
Donato Morea

This research introduces a new concept of organizational climate, seen as a "mediator", namely a factor liable to produce positive effects on both individual performances and on work processes and relations, thereby creating a favorable relationship between work excellence and organizational innovation. Health systems have been called to promote sustainability, as actors who work for the health and well-being of their patients. Starting from these considerations, this work shows the main results of a longitudinal study conducted in the pediatric department of a large hospital in southern Italy, for a period of three years (May 2014–May 2017). The reference survey was very broad because in the first step of the research a general questionnaire was adopted which included various aspects. Subsequently, the analysis of the influence of the “climate” factor was carried out according to a 3-dimensional scheme: structural, interpersonal/relational and individual. The focus was therefore set—especially in the second survey—on those indicators responding to the objective of the research and that were consistent with the epistemological choice made. The main scope was to verify the conditions according to which the organizational climate can emerge as a novel factor capable of siding with and orienting innovative patient-centered policies of human resources management.


Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5430 ◽  
Author(s):  
Haigen Min ◽  
Xia Wu ◽  
Chaoyi Cheng ◽  
Xiangmo Zhao

Real-time, precise and low-cost vehicular positioning systems associated with global continuous coordinates are needed for path planning and motion control in autonomous vehicles. However, existing positioning systems do not perform well in urban canyons, tunnels and indoor parking lots. To address this issue, this paper proposes a multi-sensor positioning system that combines a global positioning system (GPS), a camera and in-vehicle sensors assisted by kinematic and dynamic vehicle models. First, the system eliminates image blurring and removes false feature correspondences to ensure the local accuracy and stability of the visual simultaneous localisation and mapping (SLAM) algorithm. Next, the global GPS coordinates are transferred to a local coordinate system that is consistent with the visual SLAM process, and the GPS and visual SLAM tracks are calibrated with the improved weighted iterative closest point and least absolute deviation methods. Finally, an inverse coordinate system conversion is conducted to obtain the position in the global coordinate system. To improve the positioning accuracy, information from the in-vehicle sensors is fused with the interacting multiple-model extended Kalman filter based on kinematic and dynamic vehicle models. The developed algorithm was verified via intensive simulations and evaluated through experiments using KITTI benchmarks (A project of Karlsruhe Institute of Technology and Toyota Technological Institute at Chicago) and data captured using our autonomous vehicle platform. The results show that the proposed positioning system improves the accuracy and reliability of positioning in environments in which the Global Navigation Satellite System is not available. The developed system is suitable for the positioning and navigation of autonomous vehicles.


Author(s):  
Michael D. Worley ◽  
Valeria LaSaponara

An indispensable part of the off-road construction equipment industry, the front-end-loader (FEL) is a classic example of a working machine, having complex—often nonlinear—interaction between its hydraulic, mechanical, and electrical subsystems [1]. Current state-of-the-art in dynamic simulation of these machines employs full-scale vehicle models and an event-based operator model to quantify the overall system performance, efficiency, and operability. Quantifying these machine parameters is further complicated by the variability in the machine's working environment and task profile. It is recognized that full-scale simulations may offer the most insight into the machine performance and system efficiency; however, even simplified models can yield useful information for structural design, rapid prototyping, and local optimization. This paper explores developing a sub-scale dynamic model for the boom and bucket manipulator system on a FEL that will adequately characterize the system response for the purposes of design and optimization. The equations of motion for the multi- rigid body model of the manipulator system are derived using Kane's method. State equations governing the hydraulic flow to the cylinders and reaction forces on the bucket are employed to model the manipulator system's interaction with the machine and work-pile, respectively. Output from the dynamic simulation is correlated and compared to data gathered during field test operation of the machine.


Author(s):  
G. J. Tsai ◽  
Y. L. Chen ◽  
K. W. Chiang ◽  
Y. C. Lai

Indoor navigation or positioning systems have been widely developed for Location-Based Services (LBS) applications and they come along with a keen demand of indoor floor plans for displaying results even improving the positioning performance. Generally, the floor plans produced by robot mapping focus on perceiving the environment to avoid obstacles and using the feature landmarks to update the robot position in the relative coordinate frame. These maps are not accurate enough to incorporate to the indoor positioning system. This study aims at developing Indoor Mobile Mapping System (Indoor MMS) and concentrates on generating the highly accurate floor plans based on the robot mapping technique using the portable, robot and Unmanned Aerial Vehicles (UAV) platform. The proposed portable mapping system prototype can be used in the chest package and the handheld approach. In order to evaluate and correct the generated floor plans from robot mapping techniques, this study builds the testing and calibration field using the outdoor control survey method implemented in the indoor environments. Based on control points and check points from control survey, this study presents the map rectification method that uses the affine transformation to solve the scale and deformation problems and also transfer the local coordinate system into world standard coordinate system. The preliminary results illustrate that the final version of the building floor plan reach 1 meter absolute positioning accuracy using the proposed mapping systems that combines with the novel map rectification approach proposed. These maps are well geo-referenced with world coordinate system thus it can be applied for future seamless navigation applications including indoor and outdoor scenarios.


2019 ◽  
Author(s):  
Linggar Setyaning Cahyani

Fast food restaurant is one of the informal industry sectors which is currently developing rapidly. This industry is already quite a lot in Indonesia. The city of Surakarta is one of the regions that has sprung up a variety of fast food restaurants, both national and international class. In every industrial sector, both formal and informal, it is obliged to apply OHS culture in all its work processes. One of the K3 culture that generally exists in informal industries such as fast food restaurants is the 5R culture consisting of Concise, Neat, Clean, Caring, and Diligent. 5R culture is one of the concepts of work that is used in order to create an effective and produvtive working environment in the working area. In addition, acculturation of 5R is also used to minimize workplace accidents that may occur in the working area. The purpose of this study is to describe the implementation of 5R culture in fast food restaurants in the city of Surakarta. The method used is descriptive qualitative research method through consumer interviews. This research was conducted at two international class fast food restaurant, KFC and Pizza Hut, and two national class fast food restaurants, Popeye and Olive. The results showed that two fast food restaurants of international class had implemented the 5R culture well. However two fast food of national class have not implemented the 5R culture well.


Author(s):  
Georgios Karagiannis ◽  
Francesc Antón Castro ◽  
Darka Mioc

An algorithm for image matching of multi-sensor and multi-temporal satellite images is developed. The method is based on the SIFT feature detector proposed by Lowe in (Lowe, 1999). First, SIFT feature points are detected independently in two images (reference and sensed image). The features detected are invariant to image rotations, translations, scaling and also to changes in illumination, brightness and 3-dimensional viewpoint. Afterwards, each feature of the reference image is matched with one in the sensed image if, and only if, the distance between them multiplied by a threshold is shorter than the distances between the point and all the other points in the sensed image. Then, the matched features are used to compute the parameters of the homography that transforms the coordinate system of the sensed image to the coordinate system of the reference image. The Delaunay triangulations of each feature set for each image are computed. The isomorphism of the Delaunay triangulations is determined to guarantee the quality of the image matching. The algorithm is implemented in Matlab and tested on World-View 2, SPOT6 and TerraSAR-X image patches.


2019 ◽  
Author(s):  
Agung Syetiawan ◽  
Dadan Ramdani ◽  
Ayu Nur Safii ◽  
Yustisi Ardhitasari ◽  
Lumban Gaol ◽  
...  

DGN95 is a static geospatial reference system, in which the change in the value of coordinates towards time as a result of tectonic plate movement and deformation of the earth’s crust, is not considered. Changes in the value of coordinates towards time need to be considered in defining a geospatial reference system for the territory of Indonesia. This is because the territory of Indonesia is located between several tectonic plates which are very dynamic and active. This area of IndoneFor this reason, SRGI2013 was born, a national coordinate system that was consistent and compatible with the global coordinate system. SRGI considers changes in coordinates based on time functions. Problems arise when the coordinates of the old pillar still use the DGN95 datum reference system. Many published maps or geodetic control network use the old coordinate system, then the mapping user has difficulty getting the conversion of coordinates change aforesaid. The purpose of this study is to produce coordinate transformation parameters to change the coordinates of the old datum (DGN95) into coordinates in the SRGI2013 datum. The results of the transformation parameters resulted are used to change coordinates that are still in the old datum. In addition to making it easier for users to transform coordinates. The coordinate transformation method used uses the 3-dimensional coordinate transformation of the Bursa-Wolf model (7 parameters) and the Affinity model (10 parameters).


2014 ◽  
Vol 4 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Björn Berg Marklund ◽  
Per Backlund ◽  
Carl-Johan Dahlin ◽  
Henrik Engström ◽  
Ulf Wilhelmsson

An important factor for success in project-based learning (PBL) is that the involved project groups establish an atmosphere of social interaction in their working environment. In PBL-scenarios situated in distributed environments, most of a group's work-processes are mediated through the use of production-focused tools that are unconcerned with the important informal and social aspects of a project. On the other hand, there are plenty of tools and platforms that focus on doing the opposite and mainly support informal bonding (e.g., Facebook), but these types of environments can be obtrusive and contain distractions that can be detrimental to a group's productivity and are thus often excluded from working environments. The aim of this paper is to examine how a game-based multi-user environment (MUVE) can be designed to support project-based learning by bridging the gap between productivity-focused and social software. To explore this, the authors developed a game-based MUVE which was evaluated in a PBL-scenario. The result of the study revealed several crucial design elements that are needed to make such a MUVE work effectively, and that the acceptance towards game-based MUVEs is high, even with a rudimentary execution.


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