• August 27, 2025

With the accelerated digital transformation of China's logistics industry, automated storage and retrieval systems (ASRS), a key technical support for modern warehousing management, are experiencing rapid development, driven by both policy guidance and technological innovation. According to the "14th Five-Year Plan for Modern Logistics Development" and related policy documents, intelligent high-bay warehouses, automated sorting systems, and digital warehouse management platforms have been specifically listed as key areas of national support. Policy measures, including financial subsidies, demonstration project development, energy efficiency standards, and green logistics requirements, provide institutional support for the research, development, deployment, and application of automated warehousing systems. I. System Architecture and Technical Principles Automated warehousing systems utilize highly integrated mechanical equipment, information control systems, and intelligent algorithms to automate the entire process of goods entry, storage, and shipment. Their core technical architecture primarily includes: Automated Conveying and Stacking Equipment High-density storage units (Rack & Stack) enable multi-layer storage of goods within a limited space. Efficient storage and retrieval operations are achieved through stackers, motor drives, and precise control systems. Automated conveyor belts and chute systems, combined with sorting modules, enable rapid movement and precise positioning of goods within the warehouse. Intelligent Sorting and Identification System Utilizing barcode scanning, RFID tags, and computer vision technology, goods are automatically identified and sorted for distribution. Linked with the WMS system, the sorting sequence can be dynamically adjusted based on order demand, maximizing sorting efficiency and reducing errors. Warehouse Management Software and Intelligent Scheduling Algorithms Through real-time inventory management and data analysis, the WMS system optimizes goods access routes, implements equipment scheduling, and dynamically monitors inventory. AI-based optimization algorithms can predict inventory needs, calculate optimal access routes, prioritize tasks, and enable multi-tasking parallel processing. II. Technological Innovation and Cutting-Edge Trends In recent years, automated warehousing systems have demonstrated a highly intelligent and digital trend: Artificial Intelligence and Machine Learning The system analyzes historical orders, sales forecasts, and inventory flow data to implement predictive inventory management and dynamic replenishment strategies. Machine learning algorithms can autonomously adjust work sequences and equipment loads during peak periods, improving overall warehouse responsiveness. Digital Twin Technology Establishes a virtual warehouse model to simulate and optimize storage layout, stacker crane operations, and order flow. Supports strategy evaluation and risk prediction, providing deci...

• August 11, 2025

August 2025—As industrial automation moves toward intelligent and sustainable development, Siemens has launched new automation modules, marking the further integration of artificial intelligence and green automation. These new modules feature a highly integrated design, leveraging advanced artificial intelligence (AI) technology and optimized data analysis capabilities to process complex industrial signals in real time, seamlessly bridging smart production with green manufacturing. 6ES7138-4FA02-0AB0 and 6ES7138-4FA03-0AB0 are digital input modules. The AI algorithms built into these modules not only rapidly acquire and analyze 24V DC digital input signals, but also accurately predict equipment failures and production bottlenecks, enabling proactive measures to avoid downtime and optimize production efficiency. AI technology enables these modules to automatically adjust operating parameters, reducing energy consumption and raw material waste, helping companies achieve their environmental and sustainability goals. These modules also feature intelligent diagnostic capabilities, real-time monitoring of equipment status and providing fault warnings. This reduces manual intervention and equipment downtime, lowering maintenance costs and carbon emissions, and enabling companies to achieve more efficient and environmentally friendly production processes. The Future of Automation Siemens' new modules deeply integrate AI and green automation, demonstrating the future direction of industrial automation. In the future, the automation industry will continue to promote the innovation of intelligent and environmentally friendly solutions, helping the manufacturing industry achieve efficient, flexible and sustainable production models. Email: sales6@askplc.com Whatsapp: +8617359287459 Skype: +8617359287459 ATLAS COPCO MACS 4240500000 36E-08-1600-SIA-G01-CB8 YASKAWA CIMR-VC4A0007BAA VC-4MX-M144F00 DE3806M000PK03MW KV-SSC02 B&R X20 D0 6322 X20DO6322 PTP33B-6K76/0 LC1D115P7 037722 SEIKA NG3i DANFOSS 195N0051 VLT2815PS2B20STR1DBF00A00 E22PC10-A A.PAAR SICK 6071280 TBS TBS-1NSGT0256FM 3AL78839ABAD FA010262583 WEIDMULLER: 350121 SA5000 FESTO 548211 ADN-63-30-KP-A-P-A SIEMENS 6EP1632-1AL01 175G5165 MCD201-007-T4-CV3 SKF 11-10097P ISS.B 1000753404 5-VMK20NC SIEMENS 136-6DC00-0CA0

• July 28, 2025

Last Friday, the Moore Automation team set foot on the beach and ushered in a team-building trip full of laughter and vitality. Collaborating in the sound of the waves, running on the beach, from ice-breaking games to team challenges, every moment shines with the light of unity and tacit understanding. We relieve pressure under the blue sky and sunshine, draw strength from each other's company, and accumulate energy for the next journey. Fight side by side when working, and laugh loudly when building a team. The warmth of the team achieves the height of service. Moore, will continue to create more value for customers and partners with a more powerful attitude! Wonderful moments, please look forward to the picture and text review! >>> Moore >>> If you have any cooperation or business needs, please feel free to contact us! >> Email: sales6@askplc.com >> Whatsapp: +8617359287459 >> Skype: +8617359287459 >>> More Recommendations 6AV3515-1MA20-1AA0 SMC CEP1F12-H0095-150 SR060E-21-2-3-132-V108 PLC+ 690.723.54.00 DGEL40500ZRKF Siemens 6ES5095-8MB03 SIEMENS 6AV3 688-3AY36-0AX0 7ML10011AA010AA2 1000 800-5740-1 HF-CNTL-232-02 RS4-USI0 RS4USI0 1746N0V4 ES1638 HESG451103P2 IF03B BN624A074H03 FTC260BA2J3 LC3D BN624A083H01 RE3P57 MITSUBISHI LC27C-1 FI40576E FIS-6800-1111G-01 LC20D BN624A050H02 BVSOI3001E LC20E BN624A212H02 SCHUNK PGN160/1S IS 370464 LC21C BN624A082H01

• July 18, 2025

Bently Nevada is accelerating industrial upgrading, fully connecting its leading mechanical condition monitoring systems (such as Orbit60 and 3500 series) to the Industrial Internet of Things (IIoT), and connecting to the cloud analysis platform to achieve edge analysis + cloud storage integrated monitoring. By deploying standard protocol interfaces such as MQTT and OPCUA, the system can upload high-precision sensor data in real time, remotely monitor equipment vibration, temperature and health status, achieve predictive maintenance and reduce unplanned downtime. Strengthening network security design As the scale of IIoT access expands, Bently Nevada's Orbit60 system focuses on network isolation and industrial-grade network security (such as IEC62443) design to ensure that edge acquisition and enterprise systems are securely separated to avoid potential network risks. Key highlights Data-driven operation and maintenance: build a real-time monitoring and predictive maintenance system with the help of IIoT and edge computing; Flexible deployment: support wireless sensing and remote access, adapt to a wide range of field applications; Safe and reliable: adopt built-in network isolation mechanism to ensure the security of equipment data and operations. As the automation industry moves towards digitalization and intelligence, Bently Nevada is leading the trend of "equipment digital twin + cloud-edge collaboration" with its mature condition monitoring technology and innovative data platform. If you want to learn more about Orbit60's functions, security architecture or IIoT project application cases, I can provide you with further details. CONTACT US & Hot Search Saleamanager: Yuki Email: sales6@askplc.com Whatsapp: +8617359287459 ST61-55-21-LO3 8433231093Opens 05700061 05700012 Q2AA07040DCPR0M SIEMENS 1HU5042-0AC01-Z FUJI ZKM1B111-2EY1 SUTRON BT 20BT 80989.002 SIEMENS 7MF4633-1FY02-1AB6-Z 636280-01 SIEMENS 6GF3540-0GE10 7MF41341DA701BB7Z HDY92G4-44S1 FAS1080060010208 SICK CLV615-D2410 ORION PCB031E UDP027E UDP026E ORN022 6SN11180NJ010AA2 DBM04 CY1309B3 CMS50M/BP/KY/AS1H/SB1 SIEMENS D420/15 6RA 2413-6DV62-0 NUM BMH0752N1DF1C SIEMENS 1FT5076-0AF01 MOOG CY2012 DBM04-PS/U POG9GD500 D37482211 + D37480350 DSV544416400 BK150 370352 370076 R88DHT10 CSASA1A20000C3 PA001252H1SSS 15.F5.GBE-YA00 4-008-39-1121 GPIC04  7621915 140004G BMH0952N1DA2C 1FT60441AF714AG1Z AMS2 AMS4300515 1FT51020AF012Z WEBER: 428534/KW SIEMENS 6AV7861-3TB00-1AA0 AUTOMATA SPOT 300+ VIA C3 533 1FT60861AF713FG1 LC630TFR0012 108954 S2-8012 837.05.00 E1100-CO-XC 4-008-39-1791 CACRTM333Z1SPY8 WS843GSA130BRR20 BRMS30 PCMIC3230TP

• June 30, 2025

With the deep integration of artificial intelligence and industrial automation, many countries and regions around the world are accelerating the promotion of automation regulatory legislation. International leading brands such as ABB, Bently Nevada, Honeywell, etc. are closely following policy trends to adapt to the changing market environment and compliance requirements. EU: AI Act triggers regulatory controversy The EU AI Act will be fully implemented in August 2025, focusing on regulating high-risk AI systems and general-purpose AI (GPAI). The head of ABB's European R&D Center pointed out that although the bill helps to establish a transparent and controllable AI system, its potential risk of delaying the innovation cycle cannot be ignored. At the same time, the CEO of Bosch in Germany bluntly stated that if the supervision is "too dense", the EU may "regulate itself to death", which will seriously impact the company's independent development capabilities. Many automation companies, including ABB, are accelerating the deployment of "regulatory compatible" system modules to meet the challenge. United States: Federal ban clause triggers industry shock The U.S. Congress is currently discussing a bill called the "Big Beautiful Bill", in which a controversial clause proposes to prohibit state governments from establishing new regulations for AI systems in the next 10 years. This clause is under dual pressure from industry giants and local governments. A senior compliance officer at Bently Nevada pointed out that if the bill is implemented, it may bring short-term regulatory unification benefits, but it may also weaken the proactive prevention capabilities of technology powerhouses such as California and New York. The California State Assembly has recently passed several AI safety-related bills, explicitly requiring automated equipment to indicate "AI identity" in scenarios such as psychological assistance and customer service. Australia: Promoting automated safety compliance with standards first The Australian government has implemented the "Voluntary AI Safety Standard" in 2024 through the National AI Strategy, and plans to propose binding policies by 2026. Honeywell Process Solutions Australia and New Zealand technical consultant said: "Australia's standardization orientation provides us with clear boundaries for developing high-risk industrial control systems, which will help promote the implementation of the automation safety certification system in the Asia-Pacific region." Global cooperation: A unified regulatory framework has taken shape More than 50 countries, including the United Kingdom, Israel, and the European Union, have signed the Framework Convention on Artificial Intelligence and Human Rights promoted by the European Commission. Honeywell UOP and ABB are participating in multiple multinational automation projects, emphasizing that their systems comply with the ethical principles of "trusted AI" and human-machine collaboration. I...

• June 19, 2025

[June 2025] ABB, a global leader in automation, is actively grasping the trend of humanoid robots and expanding the new boundaries of intelligent manufacturing. According to UBS forecasts, the market size of humanoid robots is expected to exceed US$1.7 trillion by 2050, becoming a new growth pole for industrial automation. With its YuMi collaborative robot series, ABB has established a first-mover advantage in the field of flexible assembly. Its recent development of humanoid robot perception and control systems promoted by the Italian Automation Center marks that it is moving from "mechanical substitution" to "intelligent collaboration". In the field of basic power distribution protection, ABB also continues to deepen its roots. Its microcomputer protection device SPAJ110 C-AA is widely used in medium and low voltage systems, supports overcurrent and grounding protection, and has the characteristics of high reliability and fast response speed. The continuous optimization of this product provides a solid protection base for factory automation systems, forming a top-down technical collaboration with high-end intelligent equipment. Through a full-stack layout from basic protection to human-machine collaboration, ABB is promoting industrial intelligence upgrades with a systematic mindset, helping global users enter a new era of more flexible, safe and efficient manufacturing. — CONTACT US — Saleamanager: Yuki Email: sales6@askplc.com Whatsapp: +8617359287459 — Hot Search — ST61-55-21-LO3 8433231093Opens 05700061 05700012 Q2AA07040DCPR0M SIEMENS 1HU5042-0AC01-Z FUJI ZKM1B111-2EY1 SUTRON BT 20BT 80989.002 SIEMENS 7MF4633-1FY02-1AB6-Z 636280-01 SIEMENS 6GF3540-0GE10 7MF41341DA701BB7Z HDY92G4-44S1 FAS1080060010208 SICK CLV615-D2410 ORION PCB031E UDP027E UDP026E ORN022 6SN11180NJ010AA2 DBM04 CY1309B3 CMS50M/BP/KY/AS1H/SB1 SIEMENS D420/15 6RA 2413-6DV62-0 NUM BMH0752N1DF1C SIEMENS 1FT5076-0AF01 MOOG CY2012 DBM04-PS/U POG9GD500 D37482211 + D37480350 DSV544416400 BK150 370352 370076 R88DHT10 CSASA1A20000C3 PA001252H1SSS 15.F5.GBE-YA00 4-008-39-1121 GPIC04  7621915 140004G BMH0952N1DA2C 1FT60441AF714AG1Z AMS2 AMS4300515 1FT51020AF012Z WEBER: 428534/KW SIEMENS 6AV7861-3TB00-1AA0 AUTOMATA SPOT 300+ VIA C3 533 1FT60861AF713FG1 LC630TFR0012 108954 S2-8012 837.05.00 E1100-CO-XC 4-008-39-1791 CACRTM333Z1SPY8 WS843GSA130BRR20 BRMS30 PCMIC3230TP

• June 03, 2025

With the end of the Dragon Boat Festival holiday, production lines are restarting at an accelerated pace, and the manufacturing industry has entered a new round of golden period for improving quality and efficiency. At this time, leveraging digital twin technology is a key step in promoting industrial intelligence upgrades. Global leading automation brands have deployed digital twins: Yokogawa Launched a twin platform with "Synaptic Business Automation" as the core, integrating process simulation and real-time data to achieve intelligent prediction and adaptive control of process industries. Siemens Through the Xcelerator digital twin ecosystem, virtual simulation and actual manufacturing are seamlessly integrated to empower discrete manufacturing and process industries, helping companies quickly adapt to changing markets. GE Vernova (formerly GE Digital) Its Predix platform uses twin models for industrial asset health prediction and performance management (APM), significantly reducing operation and maintenance costs and improving operating efficiency. It’s the right time to upgrade after the holidays: Shorten debugging time Improve production capacity recovery efficiency Remote operation and maintenance is smarter Risk warning is more timely Digital twins are not just technology, but also the key to the factory of the future. Let us take a step ahead and win by a thousand miles in the new stage of manufacturing competition with the way of "virtual integration". Product Recommendations PM C01 471A 0021-09914 839-800327-315 161-561-119 SS-4BK-V51-1C 0021-22485 78G2081 MCR-SL-S-200-I-LP 0020-54777 2002-2256 PS WX20N50.0Y69 RM1F005H21 EM117-025-02A 0020-31389 545-5504 0190-09085 /60EV 97847544 7400-0068-04N 0021-76029 E15005870 20003772B PX535MH-A / 5-PHASE PM C01 471A 0021-09914 839-800327-315 161-561-119 SS-4BK-V51-1C 161-561-110 V4057NJ 879-780-00 /PCB DS2185-023752-11 852-017520-001 122BA-00100EB-S 0190-29042 BGR-026905X02 250C-1-D

• May 21, 2025

[May 2025, Detroit] At the Automate 2025 exhibition, Siemens, a global leader in automation and digitalization, officially released its latest generation of industrial AI agents, marking a major upgrade of its Industrial Copilot system. The newly released AI agents have the ability to autonomously execute complete industrial processes without continuous human intervention, which can significantly improve the efficiency, flexibility and sustainability of manufacturing sites. With Siemens' powerful automation platform and edge computing capabilities, these agents can not only respond to changing production needs in real time, but also collaboratively process data from multiple production units, pushing the "adaptive factory" towards reality. Siemens said that this breakthrough will further reduce errors caused by manual operations, improve production consistency, and free up engineers and operators to focus on higher-value work. The new generation of agents will be rapidly promoted and applied in multiple industries such as automobiles, electronics, pharmaceuticals, and energy. This release not only reflects the results of Siemens' long-term investment in artificial intelligence in the industrial field, but also demonstrates its leading position in the construction of the future industrial ecosystem. "Industrial AI is moving from auxiliary to dominant, and Siemens is promoting the intelligent upgrade of automation at an unprecedented speed." said a spokesperson for Siemens Digital Industries Group. Contact Details >>>【Email: sales6@askplc.com & Whatsapp: + 86 17359287459】 Recommended products list 81002000 2118816 B&R 0AK300.1 GP-4x4 MDD121 09-404-121 VPF-B0633T-CJ12AF PN-320913 PE84 16bit ECPE84-2 BISL-6002-019-050-03-ST11 SU9004 C98043A1001L507 C98040-A1001-P2-02-02-85 C98043A1001L81 C98040-A1001-P2-02-03-85 MSP52D401M CS31  ICS016N1 C98043A1006L2 C98043-A1006-P2 TC57 TC57HO SR1015B85 SF4B-H12 E V2 CMP63MKYRH1MSM1 ems2.R4D1B 708O2.002 FDH2A05TB-EC20 B&R X67DM1321.L12 X67DM1321 CKZM16-68-X2800 HERRMANN 4012147