The key to industrial Internet application is wireless communication and artificial intelligence introduction
Industrial iot to integrate all the devices and sensors in the same network, the network will transmit data to a computer to store analysis, through the computer software analysis, help the factory to make wise decisions, then reaches pre-set productivity goals.
Wireless communication and AI technology are the main force of future factory automation.
Industrial IoT (IIoT) is the Internet of things (IoT) is applied in manufacturing industry, with the help of wireless technology, the network cloud online and the analysis of artificial intelligence (AI), to monitor the factory equipment, also known as industrial 4.0, that is, to enhance the level of manufacturing automation.
The more information exchanges, the higher the productivity, but only a large amount of information can be analyzed and interpreted to help make good decisions.
According to the Electric Design, industrial iot to integrate all the devices and sensors in the same network, the network will transmit data to a computer to store analysis, through the computer software analysis, help the factory to make wise decisions, and achieve preset productivity goals.
The staff or equipment, tools, robot, is likely to provide useful information, inefficiency, assist factory to find out the potential problems, and optimize quality management, to predict trends, avoid shutdown, optimization of existing assets.
All of this has to do with software and hardware updates, first of all communication technology.
Wired communications have always been the norm for factory automation, but wireless communications are clearly more resilient.
IEEE 802.15.4 special support point-to-point (P2P) online and wireless sensor network, which establishes the basic physical layer (PHY), including frequency range, modulation, data rate, frame format, and media access control (MAC).
IEEE 802.15.4 mainly have three kinds of frequency, the most common is the 2.4 GHz ISM band (16), basic data rate is 250 KB/s, then the United States, 902 - to 902 - MHz ISM frequency band (10), data rate 40 KB/s or 250 KB/s, then the European 868 - MHz band channel (1), 20 KB/s data rate.
All three of these are DSSS, with binary phase-shift keying (BPSK) and migration four - phase shift keying (QPSK).
6LoWPAN adopts the PHY layer and MAC layer of IEEE 802.15.4, which is low power point to point wireless transmission.
As for honeycomb radios, support for machine-to-machine (M2M) data transmission, for remote monitoring and control, is currently being replaced by 4G LTE for 2G and 3G modules with a range of 1~ 10km.
Dust Networks, wireless Networks SmartMesh to 802.15.4 6 lowpan and the basis of the two kinds of specifications, form which has the function of repair mesh sensor network, improve the transmission range and reliability of the module battery life of up to 10000 hours, plus the time synchronization frequency hopping (TSCH) link layer, can synchronize all the nodes in milliseconds.
Development ISA100a international association of automation (ISA), is dedicated to the control of industrial processes and factory automation, adopt the 802.15.4 standard PHY layer and MAC layer, in addition to add data security, reliability, feedback control, and other functions.
Radio frequency identification system (RFID) is used to identify, locate, track and so on. The reader will transmit high power RF signal to the passive volume label and then read the data stored in memory.
RFID tags are small, flat and cheap, and can be attached to anything to be tracked.
Wi-fi is second only to the bluetooth, is the most widely used wireless technology, in the smart phone, NB, tablet, home wireless router, there are also many industrial applications, suitable for the transmission of high-speed long range.
ZigBee belongs to low short distance transmission of wireless network protocol, from the ZigBee Alliance, the biggest characteristic is for sensor monitoring large mesh network, also can handle up to 65000 nodes, is widely applied in factory automation and other M2M and USES of the Internet of things.
Although data collection programs also know how to classify data, AI is more efficient and requires no intervention.
AI can rapidly analyze the data, real-time adjustment process, in turn, increase productivity, YuFangShi maintenance (PM) is one, can predict which parts may be failure, scheduled to start replacing in advance, in order to avoid fault interrupt production, cause huge losses.
AI's ultimate goal is to incorporate certain human intelligence to assess the situation and take action.
