Making sense of data Businesses across all sectors are considering how they can benefit from digitisation. By introducing digital platforms and processes to the business, managers can improve efficiency and reduce costs to remain competitive in their respective sector. Digitisation can impact a variety of areas in the business, such as storing documents, managing workflow and allowing employees to access data remotely. Businesses can also collect huge amounts of data from a growing number of sources to monitor business performance, productivity and consumer behaviour. For example, manufacturers can now fit sensors to machines around the facility to monitor the environment and the equipment’s condition to ensure everything runs at full capacity. Do you speak data? Leadership teams require insight into what their data means, so that they can use it to make strategic decisions. To do this, they can employ data scientists to help collect and analyse data, interpret the findings and create a report that management can read easily. However, this can be a time-consuming process and by the time management sees meaningful data it might be too late to prevent an issue from occurring. For example, manufacturing companies can attach sensors to a robot to monitor machine condition. The management team must be able to read the report to understand when a machine is not performing at full capacity. At this point they can contact an industrial parts supplier and source a part that will fix the machine, preventing the risk of site downtime. 6SN1123-1AA00-0HA1 6SN1123-1AA00-0AA2 6SE7090-0XX84-0AD1 6SL3217-0CE27-5UA1 6SL3217-0CE25-5UA1 6FC5111-0BA01-0AA0 6AV6645-7AB10-0AS0 6AV7422-2FD03-0AS0 6FC5500-0AA00-2AA0 6ES7621-1AD02-0AE3 6AG4104-1AA02-1BX0 1FK7063-5AF71-1FB5 6FM2805-4AS31 6FC5370-2AT02-0CA0 6FC5370-6AA30-0WA0 6SN1118-0DH21-0AA1 6DD1683-0CH0 6DD1600-0BA1 6DD1661-0AE0 6DD1661-0AD0 6DD1640-0AH0 3BHE014967R0002 3BHE014967R0001 3ADT309600R0002 3BHE003855R001 3ADT309600R0012 3BHE006422R0001 3BHE009319R0001 3BHB005922R0001 HIEE305106R0001 3BHB006338R0001 3BHE004059R0001 HIEE305098R0001 HIEE305120R0002 HIEE405246R0002 YPQ202A YT204001-KB DSDO110 57160001-K DSDI120A 57160001-ACA DSCS131 57310001-LM DSMB176 57960001-HX YPK107E 3ASD489301A410 YPP109A 48931006-AV 1783-BMS10CL 1783-BMS20CA 1783-BMS20CGL 1783-BMS20CGN 1783-BMS20CGP 1783-BMS20CL 1783-BMS10CA 1783-BMS10CGL 1783-BMS10CGN 1783-BMS10CGP 1783-US16T 1783-US5T 1783-US8T 1769-L24ERQB1B 1769-IQ16 1769-PB4 1769-OB16 1769-L30ER 1769-L24ERQBFC1B 1769-L33ER 1769-OF2 We still have a lot of PLC/DCS/TSI/ESD Module in stock, contact us quickly for prices. +86 18030235311 jessica01235483 info@apterpower.com hu18030235311

The Human Touch Can a robot have feelings? Some robots are programmed to show emotion, from online artificial intelligence (AI) chatbot assistants to Sophia the social humanoid robot who can give emotional responses in a conversation. These robots might be able to simulate emotions, but will they ever be able to experience senses such as touch? More industries are beginning to invest in automation to improve productivity across the supply chain. Robots are often introduced to an assembly line to complete jobs that require the accuracy, repeatability and speed that cannot be completed to the same standard by a human. These large, industrial robots can also complete the dull, dirty and dangerous jobs so that human workers can concentrate on other tasks. Manufacturers can invest in robots to perform these more difficult tasks at a faster rate. However, there are still tasks on the assembly line that require the dexterity and touch of a human, particularly in the warehouse. Collaborative robots have become very popular in the last ten years as they can be placed anywhere in the facility to assist humans in their work without putting them in harm’s way. While this area of robotics is more precise and softer than an industrial robot it is still not the best way to handle fragile goods. 3BHE014967R0002 3BHE014967R0001 3ADT309600R0002 3BHE003855R001 3ADT309600R0012 3BHE006422R0001 3BHE009319R0001 3BHB005922R0001 HIEE305106R0001 3BHB006338R0001 SPCD3D53 3BHE004059R0001 HIEE305098R0001 HIEE305120R0002 HIEE405246R0002 3BHE005555R0101 3BHE020959R0127 3BHE009017R0102 3BHB020538R0001 5SHX 1000H0003 YPQ202A YT204001-KB DSDO110 57160001-K DSDI120A 57160001-ACA DSCS131 57310001-LM DSMB176 57960001-HX YPK107E 3ASD489301A410 YPP109A 48931006-AV DSTA131 57120001-CV YXI116A YT204001-AN DSTD110A YB161102-AM YXI115B YI204001-AL DSMB178 IN5730-1001-Y CI522A 3BSE018283R1 YPN107A YT201001-DM YPQ102F YT204001-KF DSAI130 57120001-P YPQ201A YT204001-KA CS513 3BSE000435R1 CI532V02 3BSE003827R1 DSPC172 57310001-ML 1783-BMS10CL 1783-BMS20CA 1783-BMS20CGL 1783-BMS20CGN 1783-BMS20CGP 1783-BMS20CL 1783-BMS10CA 1783-BMS10CGL 1783-BMS10CGN 1783-BMS10CGP 2198D020ERS3 2198D020ERS4 2198D032ERS3 2198D057ERS3 2198D012ERS3 2198H025ERS 2198H070ERS2 2198H018ERS2 2198H018ERS 2198H003ERS UR9EV URRHV UR6EV UR6AV URSHB UR8LV UR7CV UR7CV UR6NH UR6UH UR6TH UR9GH UR9HH UR8HH UR8LH URRHH IS220PAICH2A IS220PDOAH1A IS220PDIAH1A IS220PTCCH1A We still have a lot of PLC/DCS/TSI/ESD Module in stock, contact us quickly for prices. +86 18030235311 jessica01235483 info@apterpower.com hu18030235311

Be smart with data collection Energy harvesting sensors operate by gathering certain types of energy, such as kinetic, solar and thermal power from a piece of machinery and using it to obtain electric power. As a result, these sensors require no batteries to acquire and send data. Applying these devices in a machine-to-machine (M2M) sensor network could eliminate the need for grid-based power and primary batteries, creating a maintenance-free, battery-free and cable-free way of gathering and transmitting data in a manufacturing facility. When activated, an energy harvesting sensor takes a measurement and transmits the data to a central system, before returning to its dormant state.The sensors are already being used in a number of applications, particularly those that require long term monitoring of events associated with strain, temperature, currents, voltages and magnetic fields. However, they were traditionally designed to improve the monitoring of high-geared ball and linearly-actuated valves used in propulsion testing to predict valve life span. Energy harvesting allows for the use of environment-friendly, clean technology that reduces energy consumption and carbon dioxide emissions. For plant managers, transitioning to sensors of this type could reduce energy bills and help meet energy efficiency standards, such as ISO 14001.Plant managers can also retrofit these sensors to existing equipment on the factory floor. Effectively, these sensors operate as a standalone piece of equipment and can be attached to numerous pieces of machinery, from a valve actuator, to a motor. This allows plant managers to receive data from the machine, typically related to performance, and use it to plan maintenance and identify breakdowns. As a result, the data allows plant managers to avoid unnecessary downtime. In instances where equipment breakdowns occur, plant managers need fast access to replacement parts, which is where EU Automation can help. Partnering with an automation parts supplier like us means that you won’t be left out of operation while a replacement part is sourced, shipped and fitted. ABB ABB Allen Bradley Rockwell YPQ202A YT204001-KB DSDO110 57160001-K DSDI120A 57160001-ACA DSCS131 57310001-LM DSMB176 57960001-HX YPK107E 3ASD489301A410 YPP109A 48931006-AV DSTA131 57120001-CV YXI116A YT204001-AN PPD113B01 3BHE023784R1010 DSTD110A YB161102-AM YXI115B YI204001-AL DSMB178 IN5730-1001-Y CI522A 3BSE018283R1 YPN107A YT201001-DM YPQ102F YT204001-KF DSAI130 57120001-P YPQ201A YT204001-KA CS513 3BSE000435R1 CI532V02 3BSE003827R1 DSPC172 57310001-ML DSCS140 57520001-EV SC510 3BSE003832R1 MB510 3BSE002540R1 CI532V02 3BSE003827R1 CS513 3BSE000435R1 TC520 3BSE001449R1 PM511V16 3BSE011181R1 PU515A 3BSE032401R1 CI534V02 3BSE010700R1 CI522A 3BSE018283R1 SC520 3BSE003816R1 2098-DSD-HV030-SE 3BHB004661R0101 KUC711AE 3BHB004661R0001 KUC711AE 3BHB000272R0001 UFC719AE01 3BAB002916R0001 UFC721AE HIEE300927R0001 UBC717AE01 HIEE300885R0001 PPC380AE01 HIEE300936R00...

Putting an A in IoT Gartner predicts that by 2022, more than 80 per cent of enterprise IoT projects will include an AI component, skyrocketing up from just ten per cent in 2019. The reasons behind this growth are clear ─ IoT devices generate vast amounts of operational data in industrial facilities, more than we may be able to deal with. Our facilities collect information on temperature, pressure, vibration, flow and more, all of which we could glean valuable insights from. AI, more specifically machine learning, can simulate intelligent behaviour and learn from experience to make use of sensor data, thus creating actionable insights from our connected devices. It’s a match made in heaven. We are also seeing AI implemented into edge devices to create the so-called intelligent edge. For example, Banner Engineering’s DXM Wireless Gateway Controller uses a machine learning algorithm to gain insights about the status of machines, by generating a baseline of operation and warning and alarm thresholds. IoT providers are updating their tools to make it easier for user to use AI at the edge. Microsoft, for example, announced Azure IoT edge, a platform that enables low-power devices to perform AI locally, while retaining cloud connection for management and modelling. Amazon’s Greengrass has also been updated to incorporate machine learning capabilities. One challenge is that significant computing power and capacity is needed to process the data quickly, so networks must be built to be suitable for AI. To do this, businesses can consider edge and cloud connectivity, scalability, availability, interoperability, bandwidth and more. Your nervous system would be nothing without the brain. IoT too requires brainpower to work efficiently and AI is up to the job. SC510 3BSE003832R1 MB510 3BSE002540R1 CI532V02 3BSE003827R1 CS513 3BSE000435R1 TC520 3BSE001449R1 PM511V16 3BSE011181R1 PU515A 3BSE032401R1 CI534V02 3BSE010700R1 CI522A 3BSE018283R1 SC520 3BSE003816R1 2098-DSD-HV030-SE 3BHB004661R0101 KUC711AE 3BHB004661R0001 KUC711AE 3BHB000272R0001 UFC719AE01 3BAB002916R0001 UFC721AE HIEE300927R0001 UBC717AE01 HIEE300885R0001 PPC380AE01 HIEE300936R0001 UFC718AE01 3BHB000652R0001 KUC720AE01 HIEE400106R0001 CSA464AE 1783-BMS10CL 1783-BMS20CA 1783-BMS20CGL 1783-BMS20CGN 1783-BMS20CGP 1783-BMS20CL 1783-BMS10CA 1783-BMS10CGL 1783-BMS10CGN 1783-BMS10CGP 1783-US16T 1783-US5T 1783-US8T 1769-L24ERQB1B 1769-IQ16 1769-PB4 1769-OB16 1769-L30ER 1769-L24ERQBFC1B 1769-L33ER T8403 T8310 T8403 T8151B T8431 T8448 T8311 1769-IR6 UR6NH UR6UH UR6TH UR9GH UR9HH UR8HH UR8LH URRHH 10006/2/1 10300/1/1 10001/R/1 10005/1/1 We still have a lot of PLC/DCS/TSI/ESD Module in stock, contact us quickly for prices. +86 18030235311 jessica01235483 info@apterpower.com hu18030235311

Information of Automation Manufacturers Where are automation manufacturers investing in artificial intelligence? Advanced predictive maintenance tools are leading the way for investment from many automation manufacturers.These tools use artificial intelligence to detect faults early and prompt timely repairs. This reduces the cost of automation ownership and increases its availability. Platforms for rolling out bespoke machine-learning models are also appearing.These models manage specific production processes. From laser cutting to iron casting. Creating faster, and more efficient operations, with less expert supervision. ABB and Viking Analytics ABB is a leading manufacturer of automation and electrical equipment. It has seen increasing demand from its customers for predictive maintenance tools. In response, it has bought a stake in Swedish condition monitoring software startup, Viking Analytics. Viking has developed an artificial intelligence assisted, vibration monitoring application called MultiViz Vibration. ABB has integrated the predictive analytics engine from Viking into the deployment of its own Ability Asset Manager. The combined solution can predict and prevent equipment faults. Viking Analytics won ABB’s Electrification Startup challenge in 2020. Since then, the two companies have collaborated on applications and the visualisation of data from condition monitoring sensors.In the past, Viking Analytics has worked on other applications of artificial intelligence in industrial automation. This includes enabling automated pouring operations in iron foundries. It developed machine-learning algorithms to make rapid adjustments that would otherwise need intervention from an experienced operator. Siemens Xcelerator Xcelerator is a software platform under which Siemens deploys many different artificial intelligence applications, including MindSphere and Predictive Services. MindSphere is Siemens’ main industrial automation and internet-of-things solution. It implements a wide array of smart solutions, from predictive maintenance to locating sewer obstructions. Siemens has used MindSphere machine-learning models on many of its own production sites to detect developing faults, plan maintenance, assess process stability and predict product quality. Allen Bradley 81001-451-82-R Thyristors Module Allen Bradley 2198P031 DC POWER SUPPLY Allen Bradley 2198P141 DC Bus Supply Allen Bradley 2198208 DC POWER SUPPLY Allen Bradley 2198D020ERS3 Dual Axis Inverter Allen Bradley 2198D020ERS4 Dual Axis Drive Allen Bradley 2198D032ERS3 Dual Axis Inverter Allen Bradley 2198D057ERS3 Dual Axis Inverte Allen Bradley 2198D012ERS3 Dual Axis Inverter Allen Bradley 2198H025ERS Servo Drive Allen Bradley 2198H070ERS2 SERVO DRIVE Allen Bradley 2198H018ERS2 Drive Allen Bradley 2198H018ERS Servo Drive Allen Bradley 2198H003ERS Kinetix 5500 Servo Drive Allen Bradley 1756-CN2RXT communication bridge Allen Bradley 2080-LC50-24QWB Controller Allen Bradley 2711P-RW2 operator te...

Iron roughnecks When we think about our future workforce, perhaps one of the hottest topics of the moment is the rise of collaborative robots. While we prepare for the co-existence of automated and human workers, we’re also placing robots in some of the world’s most remote and far-flung working environments. Located on the Norwegian North Sea, there’s something different about Equinor’s Oseberg H platform. With no toilets, living quarters or coffee break facilities, this oil rig was not built with human workers in mind. Remotely operated from the Oseberg field centre eight kilometres away, this is the world’s first fully automated oil and gas platform. No man’s land There are many factors that make offshore the perfect candidate for unmanned automation. Inherently dangerous operations, long stints at sea and remote locations make for unattractive working conditions. With an eroding human workforce, the industry is increasingly turning to robotics to carry out its operations. For instance, Swiss robotics company, ANYbotics, has developed a four-legged robot fitted with a sensor head to carry out monitoring duties offshore. Named the ANYmal, it’s pilot installation in 2018 proved that the robot is capable of autonomously performing a range of inspection tasks, including thermal measurements and checks on water levels. We may not be handing the reigns over to four-legged robots any time soon, but achieving autonomous offshore operations is certainly in our reach. ABB HONEYWELL Bently Nevada HIEE400106R0001 CSA464AE HIEE400103R0001 CSA463AE HIEE450964R0001 SA9923a-E HIEE451116R0001 FM9925A-E HIEE401091R0002 GD9924BE,V2 HIEE401481R0001 UAC326AE01 HIEE300766R0001 GDB021BE01 3BHE004468R0021 GDC780BE21 3BHE010751R0101 PPC902AE101 HIEE300927R0101 UBC717AE101 3BHE009017R0101 XVC724BE101 MC-TAMR04 (51305907-175) MC-TAMT04 (51305890-175) MC-YAMR03 (51309218-175) MC-TAMT03 (51309223-175) MC-TAOY22 (51204172-175) MC-TDOY22 (51204162-175) MC-TAIH13 (51309138-175) MC-TAIH12 (51304337-150) MC-TDIY22 (51204160-175) MC-TAIH02 (51304453-150) MC-TLPA02 (51309204-175) 330130-040-03-00(1200) 330101-00-20-10-02-05 330103-00-08-10-02-00 330106-05-30-05-02-CN 330104-00-05-10-02-00 330104-00-06-10-02-00 330104-00-10-10-02-05 330104-00-13-10-02-05 330180-50-00 330180-91-00 3500/42M We still have a lot of PLC/DCS/TSI/ESD Module in stock, contact us quickly for prices. +86 18030235311 jessica01235483 info@apterpower.com hu18030235311

What is supply chain management? Traditional supply chain management is an essential aspect of any business and refers to the management of the flow of goods and services. It is particularly important in the manufacturing industry and encompasses everything from sourcing and procurement to logistics and inventory management. Effective supply chain management can help manufacturers reduce costs, improve efficiency and bring products to market faster, giving them a competitive advantage in the industry. All of this combined makes for a manufacturer better equipped to meet customer demand. Deloitte recently found that, of 400 manufacturers surveyed, 79% percent of organisations with superior supply chain capabilities achieved revenue growth that is significantly above average while only 8% with lower performing supply chains achieved comparable growth. Apter Power Company works closely with a network of specialist couriers that often means we can get a delivery processed and dispatched on the same day as ordering. This same network means that deliveries are unaffected by unscheduled delays that disrupt other delivery methods. 3BHE005555R0101 3BHE020959R0127 3BHE009017R0102, XV C724BE 3BHB020538R0001 5SHX 1000H0003 3BHB007209R0105 XV C767 AFC105 3BHB007211R0116 XV C768 AFC116 3BHB003041R0101 3BHB022793R0001 3BHB036579R0001 HIEE300927R0101 MPRC-086444-005 PMP-A3101A1S GE IS220PAICH2A GE IS220PDOAH1A GE IS220PDIAH1A GE IS220PTCCH1A GE IS220PTURH1A GE IS220YDIAS1A GE IS220PDIOH1A GE IS220PRTDH1A GE IS220PRTDH1A GE IS220PSCAH1B GE IS220PAICH1A GE IS200SRTDH2A GE IS200STCIH4A GE IS200ESYSH2A GE IS215UCCAM03A GE IS215UCVEH2A 81001-450-52-R 81001-451-82-R 1756-IF16H 2198P031 2198P141 2198208 2198D020ERS3 2198D020ERS4 2198D032ERS3 2198D057ERS3 2198D012ERS3 2198H025ERS 2198H070ERS2 2198H018ERS2 2198H018ERS 2198H003ERS We still have a lot of PLC/DCS/TSI/ESD in stock, contact us quickly for prices. +86 18030235311 jessica01235483 info@apterpower.com hu18030235311

The Hidden Treasure The Guardian recently announced that the deep-sea gold rush for rare metals has officially begun, with mining companies planning to profit from rare earths discovered 4,000 metres below the surface of the Pacific Ocean. However, with millions of tons of e-waste produced every year and increasingly sophisticated techniques to recover rare metals from it, a more environmentally friendly alternative might be hiding in plain sight. Rare earths also find important applications in industrial automation. For example, servo motors rely on magnetic materials containing neodymium and dysprosium, while gallium is used in its liquid form in human-machine interfaces (HMIs). Many of our discarded devices, both consumer technology and industrial equipment, contain precious rare earths. Instead of rushing to mine rare metals from one of the few untouched ecosystems left on the planet, we should invest in viable methods of recovering the astonishing amount of these substances that are present in our discarded devices. At the moment, the process of retrieving rare earths from legacy technology, known as smelting, is very costly and energy-intensive, which is why more research is needed. 81001-450-52-R 81001-451-82-R 1756-IF16H 2198P031 2198P141 2198208 2198D020ERS3 2198D020ERS4 2198D032ERS3 2198D057ERS3 2198D012ERS3 2198H025ERS 2198H070ERS2 2198H018ERS2 2198H018ERS 2198H003ERS GE IS220PAICH2A GE IS220PDOAH1A GE IS220PDIAH1A GE IS220PTCCH1A GE IS220PTURH1A GE IS220YDIAS1A GE IS220PDIOH1A GE IS220PRTDH1A GE IS220PRTDH1A GE IS220PSCAH1B GE IS220PAICH1A GE IS200SRTDH2A GE IS200STCIH4A GE IS200ESYSH2A GE IS220YDIAS1A GE IS220PAICH1B FC-TPSU-2430 10006/2/1 10300/1/1 10001/R/1 10005/1/1 10024/H/F 10018/E/1 10020/1/2 10310/2/1 10311/2/1 10209/2/1 10105/2/1 10201/2/1 10100/2/1 10101/2/1 5136-CN-VME We still have a lot of PLC/DCS/TSI/ESD Module in stock, contact us quickly for prices. +86 18030235311 jessica01235483 info@apterpower.com hu18030235311