Manual Monitoring System Research Articles

Design Warehouse Information System to Increase Stock Accuracy

In its development, the warehouse is currently not only used as a room for storage but has been integrated with the information system used in carrying out its warehousing activities. One of the objectives of the warehousing information system is to achieve stock accuracy according to the Company's target. PT Zoomlion Indonesia Heavy Industry (PT. ZIHI) is one of the heavy equipment industry companies engaged in the provision of heavy equipment, construction and plantations that have used the SAP system in managing their inventory but have not reached the stock accuracy target expected by the Company because in SAP there is no warehouse module. The purpose of this study is to find out what causative factors can affect stock inaccuracies in Jakarta warehouses, find out the dominant factors that cause stock inaccuracies and to find out the improvements made in increasing stock accuracy in PT Zoomlion Indonesia's Jakarta warehouse. The methods used are the DEMATEL (Decision Making Trial and Evaluation Laboratory) method, five why analysis, fishbone diagrams, for further design of the bin location system database. The results showed that (1) the factors causing stock accuracy inaccuracies at PT Zoomlion Indonesia Heavy Industry were due to increased receiving, storage, and shipping activities and limited manpower, and were not supported by a system that facilitates the location of parts. Meanwhile, according to fishbone analysis, the factor diagram that causes stock accuracy is not optimal is done through the five whys approach, which consists of human factors, methods, materials and the environment, (2) the dominant factors that cause inaccuracies in stock accuracy occur at risk (E10) There is no SAP support system for registering Bin location, (3)The web database stock location design developed is a form of improvement effort from the manual monitoring system that is not running smoothly. This stock location database will provide information about materials while in the warehouse room. Therefore, the use of a mobile- based web server can make it easier for users to access the system from a smartphone device.

Monitoring solar heat intensity of dual axis solar tracker control system: New approach

Control of the amount of solar energy successfully absorbed by photovoltaic system equipment that can follow the movement of sunlight vertically and horizontally at any time is a very urgent need. The method used in this research activity is the utilization of the ESP8266 microcontroller as the primary control of photovoltaic movements that can follow the direction of sunlight based on information from the Light Dependent Resistor (LDR) sensor. The data variables measured and stored include current, voltage, and temperature, which are then processed and transmitted by the ESP 8266 microcontroller to the user through the Internet of Things (IoT) media to the BLINK application. The experimental results show that the proposed system using the ESP8266 microcontroller and LDR sensor increases efficiency, accuracy, speed, and convenience in the monitoring and control system of sunlight intensity by an average of 65%, compared with the manual monitoring system.

Study on Smart Downtime Monitoring System in Glove Production

The manufacturing industry is pushing forward with the smart machineries, linked networks, and a smart environment to enhance Big Data’s operations – gaining intelligence and actionable real-time insights for higher efficient and smart production. However, in many parts of the manufacturing industry, manual monitoring system is still the usual practice, especially the long-established plants that consist of legacy machines. The monitoring processes of the lines in Top Glove F31 such as recording the lines’ downtime duration, checking the source of the stoppage, transferring the data into spreadsheet, and analyzing the downtime of the lines are all being carried out by human operators. There is a high tendency for the workers to overlook the maintenance of the system because of this work practice, and it will contribute to higher unplanned downtime of the lines. Thus, this project proposes to design an automatic downtime monitoring system that consists of sensors, PLC’s programming, and IoT technologies that can decrease the dependency on workers and not prone to human mistakes to reduce the unplanned downtime of the lines and increase the efficiency of the system.

Enhancing Large Dam Safety Using IoT Technologies: A Case of a Smart Dam

This paper investigates how to transform a manual monitoring system into a smart environment using IoT technologies. Large dams are of huge importance as water reservoirs and potential energy sources primarily because of their use for electric energy generation. Monitoring and predicting dams' behavior are quite challenging. Due to a variety of limitations, environmental obstacles and dam system complexity, the application of RFID, Bluetooth, and IoT technologies has proven to be an adequate, affordable and reliable dam safety solution. This paper introduces a comprehensive model of dam safety management and monitoring based on pervasive technologies. The model described in this work has been applied within the large dam "Iron Gate 1", on the river Danube in the Republic of Serbia. The results show that the use of new technologies in the dam monitoring process can reduce human error and improve overall process.

Pid Controller for Thermal Control in Satellites

The paper gives the application of PID controller in satellite launching; it gives out the different technique which involves PID controller. It involves the temperature control (thermistor) in heater which is situated in the satellite. PID controller is implemented with the use of programmable logic controller. Using Ordinary control techniques, it is very difficult for controlling temperature; hence the purpose of proposed research is implementing PID controller design using programmable logic controller (PLC) in order to control the temperature and maintain the output in such a way that there is zero error between process variable and set point/desired output by closed loop operations in the satellite by avoiding the manual monitoring system. A thorough analysis using various PID parameters is presented in terms of system response. Performance of the controller is examined in terms of duty cycle, average current and power dissipation. Finally, a comparative analysis of PID controller for thermal control in satellite is presented

Autoencoder‐based abnormal activity detection using parallelepiped spatio‐temporal region

The spread of surveillance cameras has necessitated the monitoring of large quantities of surveillance video feeds. A manual monitoring system is near impossible due to the large man‐hour requirements. Recently, automatic abnormal activity detection has been an area of interest among researchers. A spatio‐temporal feature, histogram of optical flow orientation and magnitude (HOFM), has produced impressive ability in detecting abnormal activities. The authors propose a novel non‐uniform spatio‐temporal region resembling parallelepipeds, from which they extract the HOFM features. Autoencoders can be configured to detect abnormal patterns. The authors have used these abilities of the autoencoders to detect abnormalities in the HOFM features extracted from their novel spatio‐temporal regions of the video feeds. The autoencoders are trained on the HOFM features of the videos containing no abnormalities. The autoencoders are then fed with the HOFM features of the videos to be tested for abnormal activities, and these are detected based on the abilities of the autoencoders to reconstruct these features. The proposed method is tested on the standard abnormality detection datasets: UCSD Ped1, UCSD Ped2, Subway Entrance, Subway Exit, and UMN.

Herbal Materials Warehouse Environment Monitoring System

In recent years, the efficacy of Chinese herbal medicines decreases often because of bad storage. It carries huge economic losses, furthermore, it endangers the safety of people's lives. Therefore, it is an urgent need for a new monitoring concepts and monitoring system for medicine warehouse to overcome many shortcomings. Combining the wireless sensor network technology, we researched environment parameter detection system of Chinese herbal medicine storage with a reasonable structure. It can monitor the air temperature, humidity, light, and water content parameters of herbs storage environment. We designed the hardware, software and interactive interface of the monitoring system. The proposed system has a better real-time and more accurate compared with the traditional manual monitoring system.

AN AUTOMATED LABORATORY SETUP FOR MONITORING HYDRAULIC CONDUCTIVITY IN SOIL SAMPLES

Knowledge of the hydraulic conductivity of water moving through soil is an important measurement of watermovement through the soil. Manual methods of measurement are laborious and timeconsuming. The objective of this studywas to adapt the manual laboratory method to an automated system. This method was accomplished with fitting the manualmonitoring system of the laboratory apparatus with sensitive electronic pressure cells with the support of data logging andPC monitoring system. These cells were calibrated and tested on various soil textures. The results were detected with highlysignificant correlation levels with confidence approaching 99% allowing totally automatic unattended operation.