Features of modeling and construction of the information system of remote monitoring of the technical condition of vehicles

The article presents the features of construction and modeling of the system of operational remote monitoring of the technical condition of the truck in operation, and ensuring the interaction of monitoring data of the technical condition of the vehicle, trailer, mode of operation and rest of the driver and physical condition of the driver. The peculiarity of the vehicle monitoring information system equipped with the means of registration, mode of work and rest of the driver and physical condition of the driver is that it considers the features of remote inspection of the mode of work and rest of the driver and physical condition of the driver in the modern information and communication complex. means. The on-board intelligent diagnostic complex allows to measure in the conditions of operation a large number of parameters of the vehicle with the internal combustion engine and to carry out their registration on the remote computer with use of possibilities of the claimed method. As a result of forming a model of information system for monitoring the technical condition of the vehicle, it is possible to simultaneously monitor the parameters of the vehicle, provide remote inspection of driver's work and rest, physical condition of the driver, environmental performance of the vehicle, speeding. The process of formation and analysis of information structures of information-analytical system of operative control of technical condition of vehicle in operating conditions (Systems of Operative Control of a Technical Condition of the Vehicle in Operating Conditions) is considered. The effectiveness of the remote monitoring information system is enhanced by the possibility of prompt adjustment of the level of negative impact of motor vehicles on the environment and road infrastructure.

Optimal Relay Network for Aerial Remote Inspections

Unmanned Aerial Vehicles (UAVs) in particular multirotors are becoming the {\it de facto} tool for aerial sensing and remote inspection. In large industrial facilities, a UAV can transmit an online video stream to inspect difficult to access structures, such chimneys, deposits and towers. However, the communication range is limited, constraining the UAV operation range. This limitation can be overcome with relaying UAVs placed between the source UAV and the control station, creating a line of communication links. In this work we assume the use of a digital data packet network technology, namely WiFi, and tackle the problem of defining the exact placement for the relaying UAVs that creates an end-to-end channel with maximal delivery of data packets. We consider asymmetric communication links and we show an increase as large as $15$\% in end-to-end packet delivery ratio when compared to an equidistant placement. We also discuss the deployment of such a network and propose a fully distributed method that converges to the global optimal relay positions taking, on average, 1.4 the time taken by a centralized method.

Real-time and remote MCMC trace inspection with Beastiary

Bayesian phylogenetic methods have gained substantial popularity in the last decade, due to their ability to incorporate independent information and fit complex models. Most Bayesian implementations rely on Markov chain Monte Carlo (MCMC), which in turn requires careful interpretation of the output to assess the statistical validity of any resulting inferences. Here we describe Beastiary, a package for real-time and remote inspection of log flies generated by MCMC analysis commonly utilised in Bayesian phylogenetic analysis. Beastiary is an easily deployed web-sever that can be used to summarise and visualise the output of many popular software packages including BEAST, BEAST2, RevBayes, and MrBayes. We describe the overall design and implementation of Beastiary and some typical use cases, with a particular focus on the capability of monitoring analyses from remote servers.

Towards Remote Inspections of FPSO's Using Drones Instrumented with Computer Vision and Hyperspectral Imaging

The Class Society DNV has performed production surveys in enclosed spaces using drones since 2016, demonstrating cost savings and increased personnel safety. The goal is to develop autonomous inspection drones to reduce the need to enter tanks and enable remote inspection. The vision is a drone that can fly by itself, track where it is, and spot rust and cracks, and measure steel thickness. We expect that drone-assisted remote inspection will reduce survey costs for the clients and be a major safety improvement for surveyors. Several drone capabilities are required to enable visual close-up inspection and non-destructive testing in enclosed, GPS-denied, and poorly lit environments. In this study, we report the most recent status from an ongoing research project, including several industry partners. We highlight technical challenges and preliminary results on drone navigation functionalities, computer vision for detection of cracks, and the use of hyperspectral imaging to detect and classify the chemical composition of coatings, rust, and other use cases.

RPA POSITIONING ERROR INFLUENCE ON CLOSE RANGE PHOTOGRAMMETRY FOR INDUSTRIAL INSPECTION

In oil and gas offshore platforms, special pipelines as flexible risers make the connection between the ocean floor structures and the platform in extreme environmental and operational conditions. Periodic inspections are necessary to assess their integrity. As industrial climbing for inspection is expensive, extremely dangerous and time consuming, qualitative visual inspection with Remotely Piloted Aircraft System (RPAS), also known as drones, are being successfully applied for remote inspection of offshore flares and risers in a much safer, quicker, and cheaper way. These experiences motivate the 3D photogrammetric inspection of risers using RPAS, considering restrictions like layout of the inspected structures and surroundings and inability to prepare the scene. In this paper, taking advantage of the position information provided by the RPAS, the reconstruction and scale of the test scene were made using only GNSS data, GNSS and scale bars, RTK, and RTK and scale bars. Calibrated artifacts were used to evaluate the results and they include a PVC pipe with artificial defects simulating a riser, a pyramidal pattern with four spheres, and scale bars. The results showed that, as expected, the worst results are for GNSS data with error standard deviations of 0.35 mm compared with 0.20 mm or less for other options. For the sphere’s artifact, relative maximum sphere spacing errors are 9.3% for GNSS, 1.9% for RTK and 0.26% using scale bars. In any case it was possible to identify the defects in the pipe with good quality and with much more detail compared with a climbing inspection.

Remote Geotechnical Evaluation of Rights of Way of Hydrocarbon Transmission Lines

Due to the health emergency currently affecting the planet, it has been impossible for engineering specialists to carry out direct inspections of the land. During this time, it has been necessary to develop techniques and procedures that allow engineers to obtain information from the land remotely. Here, they are supported by the technology that allows them to record images remotely via drones and communicate so they can perform inspections by auxiliary field personnel, directed at a distance by specialists. To do this, a preliminary flight plan is defined, based on the experience and knowledge of the terrain by the specialist and the visual of the drone is transmitted via the Internet from a PC in the field. Later, which images to record and the sites that require more detail or a direct inspection by the field assistant are defined. Finally, the field assistant transmits the images of the inspection. In this way, the specialist’s training and experience, the operational ease of the drone, and the skill of the field staff are taken advantage of. This article details the procedure for remote inspection, and ways in which it can even be extended to corridor recognition tasks to define the layout of rights of way.

Better together? Care Quality Commission pushes for post-pandemic remote regulation

2021 is set to be a year for renewal and recovery, and it is no exception for the regulator. Francesca Ramadan reports on the Care Quality Commission's proposals for greater remote inspection and assessment activity in the post-pandemic future.