Mitigating Faults and Revenue Losses Using Fault Detectors at Trans Amadi Industrial Layout, Port Harcourt Rivers State

Transmission line fault detection is an important aspect of monitoring the health of a power plant since it indicates when suspected faults could lead to catastrophic equipment failure. This research looks at how to detect generator and transmission line failures early and investigates fault detection methods using Artificial Neural Network approaches. Monitoring generator voltages and currents, as well as transmission line performance metrics, is a key monitoring criterion in big power systems. Failures result in system downtime, equipment damage, and a high danger to the power system's integrity, as well as a negative impact on the network's operability and dependability. As a result, from a simulation standpoint, this study looks at fault detection on the Trans Amadi Industrial Layout lines. In the proposed approach, one end's three phase currents and voltages are used as inputs. For the examination of each of the three stages involved in the process, a feed forward neural network with a back propagation algorithm has been used for defect detection and classification. To validate the neural network selection, a detailed analysis with varied numbers of hidden layers was carried out. Between transmission lines and power customers, electrical breakdowns have always been a source of contention. This dissertation discusses the use of Artificial Neural Networks to detect defects in transmission lines. The ANN is used to model and anticipate the occurrence of transmission line faults, as well as classify them based on their transient characteristics. The results revealed that, with proper issue setup and training, the ANN can properly discover and classify defects. The method's adaptability is tested by simulating various defects with various parameters. The proposed method can be applied to the power system's transmission and distribution networks. The MATLAB environment is used for numerous simulations and signal analysis. The study's main contribution is the use of artificial neural networks to detect transmission line faults. Keywords: Faults and Revenue Losses

Mapping Spatiotemporal Dynamics of Akure Industrial Layout for Sustainable Development

This research aimed at mapping the spatiotemporal dynamics of the Industrial Layout located in Akure Ondo State Nigeria. The dataset used are the administrative map of Ondo State, Akure Industrial Layout Boundary,various Landsat imageries of 32m resolution which are Thematic Mapper (TM) of 1986 & 1991, Enhanced Thematic Mapper Plus (ETM)+ of 2002, Operational Land Imager / Thermal Infrared Sensor (OLI/TIRS) of 2014, 2017, 2020; and Worldview 3 image 2020 of 1.24m resolution. The Landsat data were used to extract the different Land use/Land cover (LULC) within the study area. GPS receiver and Worldview 3 image were used to obtain the coordinates of the different LULC classes, which aided in the classification of image, and also for accuracy assessment of the classified image. All the Landsat standard data products were processed, to ascertain that they are free of radiometric and geometric errors using the Level 1 Product Generation System (LPGS) and extracted to obtain the landsat image bands. The extracted Landsat images (bands) were used in the processing and calculating the Normalized Difference Vegetation Index (NDVI) and calculation of LULC changes. Evaluation the accuracy of the results produced from the land cover classification was carried out by comparing the results of ground coordinates with the coordinates obtained from a higher resolution image (Worldview 3 image) in order to determine the accuracy of the land cover classification in the study area. The trend of changes of land cover in these areas was assessed and also, the prediction for the future condition both in terms of development was determined based on the results obtained from the initial results. Results from various maps produced and numerical data generated showed that Akure Industrial Layout was mainly dominated by shrub and grass land in 1986 and has in 34 years experienced transformation of 604% in the built environment (18% /year), 119% of Bareland (3.5%/year), and -29% of Grassland (0.9%/year), -66% of Shrub (2%/year). The forecast of the probable spatial extent for the years 2025 and 2030 were estimated to be 175.3Ha and 214.8Ha respectively, which shows there will be a continuous increase in the future development in Akure Industrial layout. The research recommended a proactive action from the government and end-users that will ensure a sustained manageability of the layout.

ACCUMULATION OF LEAD, CADMIUM AND SULPHUR IN PASTURE GRASSES GROWING ALONG TRAFFIC HIGHWAY AND INDUSTRIAL LAYOUT IN SOUTH EASTERN NIGERIA

Possible uptake of lead, cadmium and sulphur by ruminants from three pasture grasses, Penisetum purpureum, Panicum repens and Cynodom dactylon growing along traffic highway and industrial estate in Akwa Ibom state was investigated. Concentration of the heavy metals and sulphur in the grasses were determined by atomic absorption spectroscopy and colorimetric methods respectively. P. repens from the traffic highway contained the highest amount of lead (56.5µg g-1) and sulphur (681 ppm dry weight) which were significantly (p<0.05) higher than those from industrial layout (36.45µg g-1, Pb and 545 ppm sulphur respectively). The highest content of cadmium (1.6µg g1) was obtained from P. repens and C. dactylon from the same location of the traffic highway. The concentration of the contaminants in all the grasses from industrial layout and traffic highway were higher (p<0.05) than those from arable farm land and rural village which made up the control treatment. The results provide reliable information on the possible dangers ruminant animals are exposed to by grazing forages along traffic highways and around industries.

Energy Reserves and Industrial Development in Northeast India

The northeast of India is rich have abundant natural resources and has superior energy reserves, but the economic development of the region is backward which is difficult to forming industrial effects. Based on the energy conditions and economic endowment of northeast of India, this paper examines the development dilemma of this region and analyzes the policies adopted by India to promote the economic and industrial development of the region, so that the local economic potential can be released, energy development can be enhanced, and the industrial layout can be more reasonable.

USULAN PERBAIKAN TATA LETAK FASILITAS PRODUKSI INDUSTRI KOPI STUDI KASUS CV. TRI ANOM AGROTEKTUR

Industrial layout is one of the important factors that affecting the efficiency of the production operation process, which can be seen from the material movement activities to be processed into products. CV. Tri Anom Agrotektur manages the coffee industry which is divided into 2 activity sectors, namely the upstream and downstream sectors. This study designed a proposal to improve the factory layout of the company’s upstream sector using qualitative methods and direct interviews with factory employees. In determining the layout improvement of the industry, it is necessary to first identify the production process, using the Process Flow Diagram and Process Flow Map. The data processing methods used are: Activity Relationship Chart (ARC), Activity Relationship Diagram (ARD), and Activity Allocation Diagram (AAD). Total area of the factory building is ± 1.072 m2, while the proposed total area of the building based on the area of the machine, the area of the employee’s movement and the additional area of production support room is ± 833 m2. The total proposed rooms are 23 rooms. Proposed improvements to the industrial layout can be use as company reference that is expected to increase productivity and reduce production costs