Since 2011, the creation of a catchphrase in the Hannover Messe Industry 4.0’ve come a long way. Journey to the intelligent manufacturing continued, but in recent years the real difference is that the Internet of Things (IoT) off and the advent of artificial intelligence (AI) solution. Here, it is worth mentioning that in 2012, GE (General Electric) coined the term “Internet industry”, meaning a variety of intelligent industrial devices connected to create surveillance, collection, exchange, analysis and provide valuable the opinions of the system. Ultimately, the concept of industrial and industrial 4.0 Internet begin to merge, and ultimately achieve the industrial IoT or IIoT. Whether or so-called Industry 4.0 Industry things, the fundamental goal is the steam engine, belts and information technology (IT) to achieve fourth industrial revolution With the help of sophisticated electronic technology. It will manufacture and process automation to a whole new level, tomorrow’s plant will establish a connection system includes sensors, actuators and control systems, all of these systems over the Internet Protocol (IP) network together through different types of links.
Figure 1: new industrial height of 4.0 marks the digital transformation.
AI applications such as fault detection and classification of an Integrated also promoted the development of industrial 4.0. Combination of networking and artificial intelligence technology has changed the engineers manage data in a production environment, dissemination of information and the way to make real-time decisions. Based on machine learning algorithms and robots can be treated using the process of further cost savings and working hours, in order to further optimize the modern manufacturing. General Electric plant in Schenectady, NY can be seen reflected in the actual industry 4.0. Sodium Ni battery manufacturing plant has a plurality of sensors mounted 10,000, 180,000 square feet located in the manufacturing space. All these sensors are connected via high-speed Ethernet. This leads us into one of the basic components of industrial section 4.0 Design: The sensor is connected. Sensor Internet via wired or wireless link connecting the sensor to form the backbone of Industry 4.0 or IIoT system. Sensor data sent to the cloud machine can optimize the manufacturing, predict failures and schedule maintenance plans automatically replenish inventory. 4.0 New features industrial field localization and integration of the sensor is in communication, to create a precise indoor localization system. this makesReal-time monitoring tools and factory management and use of workers to improve efficiency, safety and quality control of the assembly line. The precision and the position sensing system using a smart wireless sensor solutions. Intelligent cab, for example CONTROL ENGINEERING China Copyright , sensor supplier Bosch and CAB Concept Cluster (CCC) to develop a smart cab. It is integrated in an agricultural vehicle and unmanned camera CONTROL ENGINEERING China Copyright , and they become connected to the control center site.
Figure 2: In addition to the intelligent manufacturing, “Industrial 4.0” initiative is being extended to other areas, such as agriculture interconnected. Picture: CAB Concept Cluster)
The solution is to provide farmers with detailed pictures taken by a camera drone and then processed in the cloud crop conditions. UAV camera can also perform object recognition, information campaigns to warn of obstacles related to deer farmers. Furthermore, farmers can perform certain functions, such as adjusting the nozzle is provided according to the weather or soil conditions. Bosch also claimed by recording the motion of the cylinder, and the jig cycle times in the manufacturing process the temperature and pressure level, to improve the productivity of manufacturing plants in Germany Bligh Nihat the ABS / ESP braking system. The data collected from the RFID tag to pass to a mass database which digitally drawn inside the flow of goods in FIG. 4.0-chip semiconductor device industry is another key element 4.0 and IIoT industrial design. Wherein the processor includes means for calculating an edge of the memory for data storage, data converter, and wired or wireless connection and the chip for sensing a cloud of internet links. One example is a Texas Instruments (TI) of the processor Sitara AM6x series, which supports factory automation, Gigabit Industrial communication subsystem motor driver and a grid infrastructure. These processors built around a converged Ethernet and real-time data traffic on a single network. They support multiple protocols, including time-sensitive network (TSN), EtherCAT, Ethernet / IP and PROFINET
FIG. 3: Sitara AM6548 Multi-ProtocolA block diagram of a processor, the processor is connected to the industrial standards (such as TSN) providing gigabit throughput.
The support TSN processor subsystem integrated on Arm Cortex-R5F dual-core MCU (the MCU), the subsystem can operate in lockstep mode selectable, and support for the on-chip memory and the external bis data error correction code (ECC) protection. Rate (DDR) memory. These features enable a processor to improve safety, and reduce system level complexity of the application of a programmable logic controller (PLC) and a multi-axis motor drives. Industry 4.0 platform requirements for increasingly high-performance PLC CONTROL ENGINEERING China Copyright , supported by a secure connection, and human-machine interface (HMI). PLC must reduce the dimensions and value chain processes, while increasing the number of I / O channels (analog and digital) of. The PLC will need to support the new I / O protocols, such as IO-Link. In addition, the emergence of powerful system (SoC) on-chip solutions for the creation of digital twin possible, digital twin virtual world and the physical world counterpart, and created all the steps of the industrial manufacturing map and link together data pool. These network physical system creates a virtual copy of the physical world Control Engineering Copyright , so that the lower the cost of monitoring the physical processes more efficient. In the factory of the future vision for industry 4.0 Control Engineering Copyright , solutions and services in the revival of the production site by the end sensor. It promotes more informed decisions, improve operational efficiency, improve productivity, increase engineering efficiency and greatly improved business performance. With the availability of the acceleration sensor of things, big data and AI applications, industrial real 4.0 finally started to move forward. According to Gartner Inc.’s report, in 2018, networking equipment in the field of more than 6 billion, by 2022, that number is expected to grow to 200 million or more. Factory of the future will be through a more powerful processing nodes, more automated production processes more intelligent and capable of near real time data processing and analyzing large amounts of data analysis tools factory, stably developing steadily. Become a reality once things provide a sensor solutions.