Industrial Monitoring System Research Articles

A Design of Industrial Park Environment Monitoring System Based on NB-IoT

This paper describes a distributed industrial park monitoring system based on NB-IoT technology. The system uses the STM32 to control the sensors work, and uses the NB-IoT communication module to realize the remote data transmission between the monitor terminal and the network server. This design is different from the traditional monitoring system based on the wide area Internet of Things, and has the advantages of low cost, low power consumption and wide coverage area.

Distributed Fault Diagnosis System based on Wireless Sensor Networks

This article presents the development of a distributed fault diagnosis and monitoring system whose remote nodes are responsible for data collection and distributed analysis to identify problems that could lead to critical faults in industrial processes or systems. The developed intelligent remote node was implemented with MCU LPCXpresso54114 connected to a ZigBee protocol wireless sensor network through XBee communication module. The gateway node is a Raspberrry PI with HTTP communication and JSON format to the PI System industrial monitoring system database. Motor Current Signature Analysis (MCSA) was implemented and validated to identify interturn faults of induction motors. The developed platform is a tool to perform comparison and validation of analysis techniques, indicators, and fault classification, because there are different combinations that can be applied to improve diagnosis reliability, fault observability, differentiation between fault conditions, classification accuracy, tolerance to transients, sensitivity, among others.

Emergent behaviour in a system of industrial plants detected via manifold learning

The efficiency behaviour of an industrial plant, part of a huge international structure of plants, is modelled as an emergent phenomenon in a complex adaptive system. The study is based on real in-service data obtained from an industrial production line monitoring system. Models of complex adaptive systems and some modern manifold learning methods are introduced in a unified formalism. The emergent behaviour is efficiently described in this setup.

Hardware Design and Building of Industrial Environment Monitoring System

Hardware Design and Building of Industrial Environment Monitoring System

A Control Circuit Design for Automatic Aperture

In view of the fact that automatic aperture technique is applied as a method of regulating light in the current industrial monitoring and control systems more and more, an automatic aperture control circuit is designed according to automatic aperture control principle. The circuit has the characteristics of the simple structure, low cost and high reliability and etc. It has been proved by experiments that the circuit can adjust the size of aperture automatically according to the change of the external illumination, which ensures proper luminous flux entering the lens, and avoids the loss of image gray levels in bright space, and solves the image flicker caused by the change of light intensity, ensures the CCD get used to brightness changes of scenery outside and obtain the best image.

IoT Gas Leakage Detector and Warning Generator

This paper presents an industrial monitoring system design using the Internet of Things (IoT). The gas sensor (MQ-5) captured information is posted into a data cloud. The sensor detects the leakage of gas under most atmospheric conditions. All the components are controlled by an Arduino (UNO-1) that acts as a central processor unit in the setup t. As soon as a gas leakage is detected by the sensor, the alarm is raised in the form of a buzzer. This alarm is supported by an LCD to display the location of leakage, alert the observer, and activate the exhaust fan in the particular section to extract leaked gas. The requirement of a gas detection system is not only to monitor continuously the surroundings but also to help prevent the gas leakage hence minimizing the chances of fire and damage.

Design and implementation of system-on-chip for peripheral component interconnect express encryption card based on multiple algorithms

PurposeThe data protection is always a vital problem in the network era. High-speed cryptographic chip is an important part to ensure data security in information interaction. This paper aims to provide a new peripheral component interconnect express (PCIe) encryption card solution with high performance, high integration and low cost.Design/methodology/approachThis work proposes a System on Chip architecture scheme of high-speed cryptographic chip for PCIe encryption card. It integrated CPU, direct memory access, the national and international cipher algorithm (data encryption standard/3 data encryption standard, Rivest–Shamir–Adleman, HASH, SM1, SM2, SM3, SM4, SM7), PCIe and other communication interfaces with advanced extensible interface-advanced high-performance bus three-level bus architecture.FindingsThis paper presents a high-speed cryptographic chip that integrates several high-speed parallel processing algorithm units. The test results of post-silicon sample shows that the high-speed cryptographic chip can achieve Gbps-level speed. That means only one single chip can fully meet the requirements of cryptographic operation performance for most cryptographic applications.Practical implicationsThe typical application in this work is PCIe encryption card. Besides server’s applications, it can also be applied in terminal products such as high-definition video encryption, security gateway, secure routing, cloud terminal devices and industrial real-time monitoring system, which require high performance on data encryption.Social implicationsIt can be well applied on many other fields such as power, banking, insurance, transportation and e-commerce.Originality/valueCompared with the current strategy of high-speed encryption card, which mostly uses hardware field-programmable gate arrays or several low-speed algorithm chips through parallel processing in one printed circuit board, this work has provided a new PCIe encryption card solution with high performance, high integration and low cost only in one chip.

Design and Implementation IOT based Industrial Sub Station Monitoring and Control System

Design and Implementation IOT based Industrial Sub Station Monitoring and Control System

Development of arduino controlled robotic arm

<p>Robots are playing a vital role in today’s industrial automation and monitoring system. As technology developed, these robots have increased their applications. Working robots that cooperate to the people makes the work less effort and uncomplicated. A robotic arm is a type of mechanical arm, usually programmable, with similar functions to a human arm. In this project, a programmable robotic arm is redesigned and implemented, and aimed to move using remote control and hand gesture from a certain distance by using wireless component. This robotic arm is based on android application control for remote operation. Inputs are sent to control the movement of the robot either to move in x-axis, y-axis or z-axis using 1Sheeld application on android smartphone. Five motors are interfaced to the microcontroller whereas one motor is used for gripper movement, while the other four motors are used at the joints of the robotic arm for movement. The android application device transmitter acts as a remote control by using hand gesture that has an advantage of adequate range, while receiver (1Sheeld) and Bluetooth device are fed to the microcontroller (Arduino) to drive DC motor via motor driver IC L298N for clockwise and anti-clockwise rotation. Remote operation is achieved by any smartphone with android upon Graphical User Interface (GUI) based touch screen operation.</p>

Cellular Based Automated Industrial Control and Monitoring System

Cellular Based Automated Industrial Control and Monitoring System

A fuzzy type-2 fault detection methodology to minimize false alarm rate in induction motor monitoring applications

Automatic routines for Fault Detection and Diagnosis (FDD) are very important in industrial monitoring systems. However, false alarms potentially occur. High false alarm rates may lead to outages and consequent losses in the production process. To address such problem, a new FDD strategy based on type-2 fuzzy systems is proposed herein to minimize the false alarm rate. By applying system identification techniques, parametric models are estimated in order to represent the operation of the system under several levels of fault severity. The test system is a detailed dynamic nonlinear model of induction motor drive. The faults considered were partial short-circuit in stator winding coils. A performance comparison was made by implementing the monitoring system with both a type-2 fuzzy system interval and a type-1 fuzzy system. The results obtained thereby showed the improved performance and robustness of type-2 fuzzy system-based monitoring system, which outdoes the performance obtained by a type-1 fuzzy system. Furthermore, the performance of the proposed type-2 fuzzy system-based monitoring system may be further improved by using a Genetic Algorithm for tuning the parameters of the fuzzy type-2 system.

Modeling an analytics system for industrial safety monitoring based on expert assessments

Introduction . A mathematical model of the industrial safety monitoring system in mechanical engineering is investigated. The work objective was to create a mathematical model based on expert assessments of workplace safety parameters with a calculated and experimental justification of its applicability to the “STRAZH” expert security monitoring system. Materials and Methods . The classification of expert systems for engineering enterprises is proposed. The stages of creating expert systems are considered. A methodology for assessing the consistency of experts as a basis for models of expert systems in the field of mechanical facilities safety is presented. Results . The basic safety parameters of the workplace are identified. A matrix of expert evaluation of parameters based on the opinion of leading experts in the field of engineering is created. The results of modeling the expert system “STRAZH” with the calculated and empirical support of the mathematical model validity are presented. The advantages of implementing expert systems to increase the level of personnel safety are proved. Discussion and Conclusions . The results obtained have a high degree of expert coordination and can be used in the development of expert safety monitoring systems for engineering enterprises.

The methodical issues of industrial energy monitoring systems implementation


 
 
 Statistics show that energy is one of the highest operating costs in a manufacturing enterprise. So, improving energy efficiency can lead to a significant increase in profits and reduce the impact of the enterprise on the environment. To increase the performance of energy efficiency activities, it is necessary to implement an energy management system. One of the components of this system is energy monitoring, which, in turn, is based on the periodic collection and analysis of data to assess the state of the monitoring objects in terms of energy efficiency. In this paper, the role and place of energy monitoring in the energy management system of an industrial enterprise are noted. The paper proposes the concept of creating energy monitoring system in industrial companies, which is based on the combination of a monitoring system based on specific energy consumption, and usage of group energy characteristics of production facilities. Implementing such energy monitoring systems will allow to conduct operational control of energy efficiency of production facilities by creating individual systems for monitoring energy efficiency, as well as successfully carry out such monitoring at the enterprise and its subdivisions over longer periods of time using specific energy consumption indicators. It also provides general guidelines for conducting energy monitoring. These guidelines were formed based on the results of studying various methods and scientific publications in the field of energy monitoring, as well as on the basis of practical experience in the development and implementation of energy management systems. Particular attention is paid to the issues of processing and analysis of information about the objects of energy monitoring of industrial enterprises. The practical application of the concept of creating energy monitoring systems envisages gradual improvement of the existing monitoring system based on the specific energy consumption, which will be further completely replaced with individual energy efficiency monitoring systems.
 
 

Logistics industry monitoring system based on wireless sensor network platform

With the continuous development of the logistics industry, the relevant technology is becoming more mature, the system is increasingly perfect, and the accuracy requirements for the logistics monitoring system are becoming higher and higher. Traditional logistics monitoring is usually manually recorded, which not only wastes manpower and is inefficient, but also cannot meet the current scale and intelligent development requirements of the logistics industry. The purpose of this article is to study modern logistics monitoring systems based on sensor networks and big data. Based on the in-depth study of three technologies of sensor network, big data and logistics technology, this article integrates the entire warehousing and distribution logistics process, and builds a monitoring system framework combining sensor network and big data based on the wireless sensor network software and hardware platform. Combining the two key methods studied in this paper, the information management process of traditional logistics operations such as outbound and inbound, warehousing positioning and monitoring, and distribution monitoring management are implemented, and the monitoring system is tested on this basis. The test results prove that this system has certain deployment reference significance and practical application value, and can help to improve the informationization and intelligence level of logistics management to a certain extent. In this paper, by simulating 250 concurrent users, the server CPU usage is 56.37%, the server memory usage is 57.13%, and the response time is 1944 ms.

The Conception of NPP Equipment Monitoring Based on Nonparametric Statistics and Trained Neural Network

The article deals with the concept of monitoring based on nonparametric statistics. It is supposed the possible application to monitor the technological systems of nuclear power plants. Modern complex plants and technogenic objects are equipped with industrial monitoring systems. The evolution of such systems in natural form is the generation of alternative concepts, constructs, and items selection for efficiency during operation

Material Types and Wall Thickness Effects on Bourdon Tube Tip Travel using Solid works

Bourdon-type pressure devices are used to detect pressure in industrial installations and pressure monitoring systems. Bourdon tubes are manufactured in various engineering shapes like circular-C, helix, and spiral, to serve the use of this tube in terms of positioning and accuracy. The tip of the Bordoun tube is a pressure-sensitive element. The applied input pressure causes the tube tip to be shifted or translated from the initial position. In this study, the pressure measurement in Bordoun tube was simulated at different sections and different axial ratios of multiple metals to obtain the best tube tilp deviation using the Solidworks program. Simulation results expressing the differentiation of tip travel values using four materials, three axial ratios, and four cross-section types. The results show that best material in terms of maximum tip travel was Zinc AZ-12, and for any material and regular wall thickness, the axial ratio (0.3) gives the best response. Also, the results show other materials' response and effect of change axial ratio.

The Research of Embedded Remote Monitoring System Based on B/S Framework

With the continuous development of industrial automation, the requirement of monitoring system in industrial field is higher and higher. Various advanced computer technology, sensing technology and communication technology are more and more appearing in industrial field. Touch screen or computer are usually used to realize the visual monitoring of industrial production line. This monitoring system based on C/S mode is widely used. With its advantages, the monitoring system based on B/S mode is gradually applied to smart home, telemedicine, agriculture, power system and other occasions. The monitoring system based on B/S mode has more advantages in structure and application than C/S mode. How to further expand the application of B/S mode monitoring system is the key to upgrade and replace the current industrial monitoring system. The industrial Web monitoring system based on ARM proposed in this paper can improve the current monitoring system having practical significance both economically and technically.

Design of Cigarette Factory Based on Bim and System Integration under Industrial Monitoring

BIM, as a kind of building visualization modeling technology, Original applied to the fields of engineering and construction. For cigarette factory design, BIM can realize efficient and convenient information assistance. BIM Technology combines all links and contents of engineering construction into a whole model by means of information technology, and can make changes according to the actual situation, which brings great convenience to the construction of cigarette factory and has very strong practicability. As an important information acquisition and feedback system of industrial system operation, industrial monitoring system can monitor industrial process through data, visualization and other technical means. It is of great significance to combine the two organically and explore the application of building model in the process of industrial monitoring for the design and operation of cigarette factory, as well as for the exploration of BIM’s full life cycle application.

Design of industrial internet of things system based on machine learning and artificial intelligence technology

For industrial production, the traditional manual on-site monitoring method is far from meeting production needs, so it is imperative to establish a remote monitoring system for equipment. Based on machine learning algorithms, this paper combines artificial intelligence technology and Internet of Things technology to build an efficient, fast, and accurate industrial equipment monitoring system. Moreover, in view of the characteristics of the diverse types of equipment, scattered layout, and many parameters in the manufacturing equipment as well as the complexity of the high temperature, high pressure, and chemical environment in which the equipment is located, this study designs and implements a remote monitoring and data analysis system for industrial equipment based on the Internet of Things. In addition, based on the application scenarios of the actual aeronautical weather floating platform test platform, this study combines the platform prototype system to design and implement a set of strong real-time communication test platform based on the Windows operating system. The test results show that the industrial Internet of Things system based on machine learning and artificial intelligence technology constructed in this paper has certain practicality.

A Real-Time LoRa Protocol for Industrial Monitoring and Control Systems

LoRa technology draws attention for its use in industrial monitoring and control systems in which each end device or task is required to send data periodically to a (cloud) server. Despite its provision of a stable link, it suffers from data loss by signal suppression and interference. A real-time LoRa protocol is proposed that uses a slot scheduling to remove collision and device or node grouping based on signal attenuation to deal with signal suppression. Based on the definition of a frame-slot structure, a logical slot indexing algorithm is devised to tag a logical index to each slot. The logical indices enable the easy allocation of slots to nodes such that if each node sends data in the allocated slots, it can satisfy time constraint. To handle external interference caused by other networks, the protocol uses a multiple listen-before-talk (mLBT) mechanism that allows channel detection multiple times within one slot. Our protocol is compared analytically and experimentally with other ones to show its superior throughput and reliability against signal suppression and interference.