Field Of Industrial Control Research Articles

Investigation on Intelligent Recognition System of Instrument Based on Multi-step Convolution Neural Network

Digital instruments are widely used in industrial control, traffic, equipment displays and other fields because of the intuitive characteristic of their test data. Aiming at the character recognition scene of digital display Vernier caliper, this paper creatively proposes an intelligent instrument recognition system based on multi-step convolution neural network (CNN). Firstly, the image smples are collected from the Vernier caliper test site, and their resolution and size are normalized. Then the CNN model was established to train the image smples and extract the features. The digital display region in the image smples were extracted according to the image features, and the numbers in the Vernier caliper were cut out. Finally, using the MINIST datas set of Vernier caliper is established, and the CNN model is used to recognize it. The test results show that the overall recognition rate of the proposed CNN model is more than 95%, and has good robustness and generalization ability.

Resonance frequency analysis of a dual-frequency capacitive micromechanical ultrasonic transducer for detecting high and low pressures simultaneously with high sensitivity and linearity

A novel design of a dual-frequency capacitive micromechanical ultrasonic transducer (CMUT) that is capable of detecting two pressure ranges is proposed in this paper. The linear relationship between the pressure and the resonance frequency of the CMUT is exploited to achieve pressure detection within low and high pressure ranges, whereas the tendencies of the frequency response in the two cases are opposite. A dual-frequency CMUT array with two resonance frequencies is utilized to detect vacuum pressure ranges of 0–10 kPa and 20 kPa–101 kPa using frequency shifts around 200 kHz and 180 kHz, respectively, achieving good linearity and sensitivity in the two pressure ranges. The finite element method is utilized to optimize the structural dimensions, and then a dual-frequency CMUT sensor is fabricated by wafer bonding technologies. The experimental results show good agreement with the finite element model and demonstrate that the sensor features a high sensitivity of 441.08 Hz kPa−1 in the pressure range of 20–101 kPa and 50.57 Hz kPa−1 in the pressure range of 0–10 kPa. According to the theoretical analysis and finite element method, the structural parameters of the dual-frequency CMUT array can be altered to measure another two different pressure ranges. Furthermore, the detection of multiple pressure ranges may be realized by designing multi-frequency CMUT array, which is of great significance in the field of aviation, industrial control or other occasions where the detection of multiple pressure ranges is necessary.

A Simple, Low-Cost Micro-Coating Method for Accuracy Improvement and Its Application in Pressure Sensors.

The demand for high-accuracy pressure sensors has increased with the advancement of technology in a wide variety of applications. However, it is generally difficult and expensive to improve the accuracy of the pressure sensor because it usually depends on the sensing principle and the internal physical structure of the pressure sensor, varying with its material and production process. Thus, a simple, low-cost, and generally applied post-processing method is proposed to improve the accuracy of pressure sensors. In this method, a micro-coating is cladded on the surface of the sensor, which effectively isolates the adverse effect of the external environment, similar to applying a “micro-protective clothing” on the pressure sensor. Experiments on seven pressure sensors are conducted, in which the micron-thin parylene polymer is utilized as the surface-deposited coating layer to demonstrate the improvement of accuracy. Results show that the accuracy was improved, with an average increase of approximately 62.54% than before cladding, while the sensitivity was almost unchanged. The principle of improving the accuracy of this method was also analyzed. The proposed simple, efficient, and low-cost method of cladding micro-coating for enhancing the accuracy of sensors can be widely applied in various fields of industrial automatic control.

A Resonant Pressure Microsensor With a Stress Isolation Layer

This paper presents a resonant pressure microsensor composed of a glass cap for hermetic package, an SOI layer with sensing elements and a glass base for stress isolation. Tested pressure under measurement bends the pressure sensitive diaphragm, producing frequency shifts of underlining resonators while the stress isolation layer can work as a cushion layer to minimize environmental temperature and mechanical disturbances. Numerical simulations were conducted, finding that the stress isolation layer can decrease the axial stresses of the resonators from +16 to +2 MPa (high-temperature challenging), from −12 to −5 MPa (low-temperature challenging), and from 2.5 to 0.5 MPa (mechanical challenging). The proposed microsensor was fabricated based on conventional microfabrication and characterized with comparison to the counterpart without the stress isolation layer, producing an accuracy of 0.01% FS vs. 1% FS, a temperature shift of 37 ppm versus 10088 ppm, a pressure shift of 45 ppm versus 777 ppm, a temperature hysteresis error of 21 ppm versus 187 ppm, a pressure hysteresis error of 22 ppm versus 265 ppm, a temperature repeatability error of 15 ppm versus 703 ppm, a pressure repeatability error of 21 ppm versus 36 ppm, and a long-term stability of >7 months versus 69 days. These results validated the functionality of the proposed resonant pressure microsensor with the stress isolation layer, which may be potentially used as an effective tool in the fields of aerospace aviation, industrial control, and meteorological monitoring.

Speed Ripple Minimization of Permanent Magnet Synchronous Motor Based on Model Predictive and Iterative Learning Controls

Permanent magnet synchronous motors (PMSMs) are widely used in the field of industrial servo control, especially in high-precision applications. Owing to the periodic torque ripple caused by the cogging torque, flux harmonics, and current offsets, the speed output of the system has a periodic ripple, which affects the control accuracy of the servo system. The conventional proportional–integral controllers cannot reject torque ripple and are highly dependent on motor parameters. This limits the control performance when a PMSM is used as a high-precision servo system. Thus, this paper proposes a combination of model predictive control (MPC) and iterative learning control (ILC) to not only speed up the response time of the system but also effectively reduce the speed ripples. MPC updates the predictive model in real time through feedback and evaluates the system output and control rate according to the cost function. It obtains an optimal control sequence for the next moment and has good parameter robustness and fast response. ILC records the speed of ripple signals over an entire cycle and then uses those signals to compensate for the control signal in the next cycle. It is capable of reducing the periodic speed ripples. The experimental verification of the schemes was conducted on a digital signal processor–field programmable gate-array-based platform. The experimental results obtained confirm the effectiveness of the proposed MPC–ILC scheme.

Research on modelling and scheduling strategy for mine transportation control system based on CPS

Cyber-physical systems (CPS) have made great strides in industrial control, intelligent transportation, remote medical and other fields. Coal mine transportation control system is a representative multi-subsystem of CPS. In this study, for the sake of optimising the scheduling mechanism for event response and precise control of tramcar behaviour in the system, we propose an event-orient scheduling algorithm (EOSA) to achieve a rapid response based on building a no-memory continuous time model. Therefore, the control system can match tasks in the queue according to the real-time load situation, and each physical entity can accurately execute the instruction under discrete event environment. Simulation results have shown that the proposed algorithm has a higher execution speed compared with the hybrid genetic algorithm and fuzzy clustering scheduling algorithm. Our approach realises the load balancing of global task scheduling and is more suitable for mine transportation scenario.

Research on modelling and scheduling strategy for mine transportation control system based on CPS

Cyber-physical systems (CPS) have made great strides in industrial control, intelligent transportation, remote medical and other fields. Coal mine transportation control system is a representative multi-subsystem of CPS. In this study, for the sake of optimising the scheduling mechanism for event response and precise control of tramcar behaviour in the system, we propose an event-orient scheduling algorithm (EOSA) to achieve a rapid response based on building a no-memory continuous time model. Therefore, the control system can match tasks in the queue according to the real-time load situation, and each physical entity can accurately execute the instruction under discrete event environment. Simulation results have shown that the proposed algorithm has a higher execution speed compared with the hybrid genetic algorithm and fuzzy clustering scheduling algorithm. Our approach realises the load balancing of global task scheduling and is more suitable for mine transportation scenario.

Design of WirelessHART Protocol Stack Based on Qp Architecture

WirelessHART protocol is mainly used in the field of industrial process control, and is known for its simplicity, reliability and security. The WirelessHART data service is made up of a series of events. The communication between different state machines is also delivered through events. At the same time, each layer of protocol is composed of several state machines. Therefore, the WirelessHART protocol stack can be designed based on the Qp event-driven architecture. In this paper, WirelessHART software protocol stack is divided into seven active objects, in which each object maintains the corresponding functions. It is implemented active objects through the state machine, which can improve the reuse of behavior and save ROM resources.

The Single-Chip Computer Application Technology Project Teaching Exploration

MCU course plays an important role in the modern industrial control fields, it is a operational and practical very strong discipline, how to better learning this course, is the electrical class students and teachers are thinking about. In this paper, according to the characteristics of single chip microcomputer course, from the curriculum system, course content, teaching mode and assessment way to conduct research and so on are discussed, the construction of the teaching reform was proposed based on single chip microcomputer project ideas.

Prototype Smart Sensor Pengukur Suhu Untuk Sistem Monitoring Pada Smart Building Management System

Prototype Smart Sensor for Measuring Temperature Monitoring System Smart Building Management System. The sensor is an electronic device that is extremely important in the field of instrumentation and industrial control. The sensor is an input device in the measurement and control of an automation system. Device sensor has now developed into a Smart Sensor. Smart Sensor means a sensor to be more easily applied and integrated with other electronic devices, supporting the latest technology, size is getting smaller, and has a higher sensitivity value. In this study created Smart Sensor Smart Sensor Temperature is in the form of a Prototype. Prototype Smart Temperature applied in measuring and monitoring the temperature of a building. Building and monitoring system is called the Smart Building Management System (SBMS). SBMS has the goal of keeping a building can be regulated, controlled and monitored easily, quickly, effectively, economically and efficiently. Prototype Smart Sensor will measure and monitor the temperature inside the building. Temperature is a measure of a building needed to the building occupant comfort, energy saving, fire prevention and building maintenance. This research has succeeded in making a prototype Smart Temperature Sensors for measuring and monitoring the temperature of a server room. Temperatures were measured by an average of 20-22 0C. The result of this will be used as reference and evaluation for the team management system to manage the building and maintenance of industrial automation equipment.

A Method of Remote Multi-Machine Program Update Based on Wi-Fi Wireless LAN and CAN Bus

We provide a remote online program update method for multi-machine control system in distributed industrial control field based on WiFi Wireless LAN and CAN bus in this paper. On this basis to achieve the accurate and efficient update for remote multi-machine.

Platform as a service gateway for the Fog of Things

Internet of Things (IoT), one of the key research topics in recent years, together with concepts from Fog Computing, brings rapid advancements in Smart City, Monitoring Systems, industrial control, transportation and other fields. These applications require a reconfigurable sensor architecture that can span multiple scenarios, devices and use cases that allow storage, networking and computational resources to be efficiently used on the edge of the network. There are a number of platforms and gateway architectures that have been proposed to manage these components and enable application deployment. These approaches lack horizontal integration between multiple providers as well as higher order functionalities like load balancing and clustering. This is partly due to the strongly coupled nature of the deployed applications, a lack of abstraction of device communication layers as well as a lock-in for communication protocols. This limitation is a major obstacle for the development of a protocol agnostic application environment that allows for single application to be migrated and to work with multiple peripheral devices with varying protocols from different local gateways. This research looks at existing platforms and their shortcomings as well as proposes a messaging based modular gateway platform that enables clustering of gateways and the abstraction of peripheral communication protocol details. These novelties allow applications to send and receive messages regardless of their deployment location and destination device protocol, creating a more uniform development environment. Furthermore, it results in a more streamlined application development and testing while providing more efficient use of the gateway’s resources. Our evaluation of a prototype for the system shows the need for the migration of resources and the QoS advantages of such a system. The examined use case scenarios show that clustering proves to be an advantage in certain use cases as well as presenting the deployment of a larger testing and control environment through the platform.

Analysis for Information Integration Platform on Warship

On the basis of network establishment, system architecture of warship’s information integral platform and XML distributed data exchange were researched. To focus on information system data and network resource on warship, the multilevel software architecture was adopted in simulation. On the data layer, circulated simulation data about manoeuvring, ship system, power and navigation were got. On the service layer, the software interface of all the simulated systems was supplied, which realized data collection and information storage. The last layer was for user by which human-computer interface was got through client software. To improve stability of ship’s local area network, double-ring topology was used as the main network, and very popular software named Wonderware in field of industry control was developed. With IAS platform, deployment of all the sub-stations was completed, and links between each collection and database were established. Multilevel computer network and information data integration frame on warship had many purpose, such as serving for oriented application system, data communication, information share and so on.

面向工业监控应用的广域异构无线网络端到端时延分析

With the development of wireless communication, the wireless communication technologies based on WirelessHART, WIA-PA, and ZigBee are used widely in the industrial control field. However, owing to the con-straint of capital, technology, equipment, etc., diverse network technologies have long coexisted. Delay analysis is an effective method for detecting real-time network properties in the network design phase. Currently, there is no particular method of analyzing end-to-end transmission delay in wide-area industrial heterogeneous networks. Consequently, based on wide-area heterogeneous backhaul networks with industrial control applications, end-toend delay in wide-area heterogeneous environments, including IEEE 802.11 long-distance WIFI, WirelessHART, ZigBee, and WIA-PA, is analyzed theoretically and verified experimentally. These comparative experiments show that, when the node number of an 802.11 long-distance WIFI backhaul network is greater than 25, and the data aggregation period of the gateway is less than 30 ms, the pessimism ratio is guaranteed to be within 2.3 in the network for ZigBee and within 1.5 for others. The rationale and validity of the method are proved.

A Rule-Based Opto-Electronic Detection and Target Recognition System

Opto-electronic detection and target recognition systems are widely used in the detection, monitoring, identification and other fields. In order to improve the flexibility and accuracy of this kind of system, we involved artificial intelligence technology into this area. As one of the most successful technology of artificial intelligence, expert systems (rule based systems) are widely used in industrial and intelligent control and other fields. This paper presents a general model of the rule based opto-electronic detection and object recognition systems. The model relies on the expert system tool—CLIPS which supports inference engine for reasoning. And a learning algorithm is used to generate the inference rules. In order to make the generated rules are easy to understand, decision tree algorithm was selected to apply in this general model. Finally, the model is applied to a vehicle identification test, a benchmark standard data-set from UCI machine learning repository was selected for this experiment. The experimental results show that the system has higher accuracy. Furthermore, this system is flexible for other target recognition as well, when the rules of relevant targets were added to this system.

The Transplantion and Realization of Qt4.7.0 Based on ARM9 and Linux

With continuous improvement and update of embedded Linux kernel, embedded technology has been widely used in handheld devices and industrial control field. Therefore, a user-friendly graphical user interface (GUI) is essential for these applications. This paper firstly presents the design method for transplanting Qt on embedded platform of ARM9. Secondly it elaborates the device driver development and Qt interface development in Linux system with a Qt test program. All transplantation method of Qt and test program have been tested and verified on the ARM9 platform.

Research and Design of Soft PLC based on ARM and SIPROM

PLC is a dedicated control computer and is extensively applied in the fields such as machine manufacturing and industry control, but openness of its hardware structure and the programming system are not uniform due to different manufacturers. To solve incompatibility issue, the soft PLC concept is proposed in the late 90 s of 20th century. A PID is a closed-loop control system and features simple structure, stronger stability and higher reliability, so it is extensively applied in the industry control field. This paper describes the software and hardware structure of the soft PLC system based on ARM7, analyzes and studies PID control algorithm, and studies the PID parameter setting. The above research simulation completes parameter setting of the PID system, accumulates setting experiences, and improves the PID control function performance of the soft PLC.

Design of the Production Line Control System of Beverage Filling Based on PLC

PLC control program is simple and easy to use, reliable and so on. In the field of industrial automatic control has been widely used. Therefore, some characteristics of using PLC to design the beverage filling production line control system, in order to meet the requirements of control system. Through the introduction of automatic control of beverage filling, made us to have a deeper understanding for the beverage filling industry, also have a further understanding of the word for automatic control.

A Remote Intelligent Control System Based on Zigbee Wireless Technology

Firstly, the Zigbee wireless technology, uCOSII real-time operating systems, gateways and other techniques were studied, and then Cortex-M3 core processor, equipped with running uCOSII operating system to set up an internal wireless network Zigbee module to achieve the end nodes of data acquisition and node control, and ultimately design and implement a remote temperature control and infrared remote control, users can realize temperature control and remote air conditioning temperature regulating heater remotely via a PC or a mobile terminal. The system is real-time, high stability, can be applied to the field of industrial control and remote areas such as intelligent home.

Security Mechanism Design on the Embedded Computer System

With the constant innovation and development of micro-electronics technology, and large scale integrated circuit in-depth research, more advanced embedded microcontroller processors are applied to all kinds of instruments and equipment, which has brought a new technological revolution to the modern industrial control field. And it results to the embedded system, as an important field of computer application, has gone deep in all aspects of society, and got more and more attention from people. Now the designing and implementation technique of dependable computer is one of the most important research fields. The research on security, one of the important characters of dependable computer, is becoming increasingly important.