【深圳长欣自动化设备有限公司】经过十二年的快速发展,现已成为国内zui 具实力的工控备件商之一
产品应用于:电力、石油、矿井提升、港口、供热、燃气、供水、污水处理、冶金、造纸、纺织、化工、水利等现代化工业领域!
1,《发电厂DCS监控系统》
2,《智能平钢化炉系统制造》
3,《PLC可编程输送控制系统》
4,《DCS集散控制系统》
5,《智能型消防供水控制系统》
6,《化工厂药液恒流量计算机控制系统》
7,《电气控制系统》造纸,印染生产线,变电站综合自动化控制系统
关键词:PLC可编程控制系统,分散控制系统(DCS)安全仪表系统(SIS),ESD系统,振动监测系统,汽轮机控制 压缩机组控制系统(CCS)等各类工控系统部件。
DCS Distributed Control System:
FOXBORO: I / A Series System: FBM (Field Input / Output Module) Sequence Control, Ladder Logic Control, Incident Recall Processing, D / A Conversion, I / O Signal Processing, Data Communication and Processing.
TRICONEX: Redundant Fault-Tolerant Control System, the most modern fault-tolerant controller based on Triple Modular Redundancy (TMR) architecture.
Westinghouse (Westinghouse): OVATION system, WDPF system spare parts.
Siemens: MOORE system spare parts.
Honeywell: TDC Series, QCS Series, S9000 Series Spare Parts.
ABB: ADVANT OCS, MOD30, MO300, Bailey INFI90, Masterview 850, AC460, S100, S800 system spare parts.
MOTOROLA (MOTOROLA): MVME147 / 162/166/167/172/177/187 Spare Parts.
XYCOM: VME series bus board, programmable human-machine interface.
PLC programmable controller:
Allen-Bradley (Rockwell): 1756/1771/1785 series, Reliance Ryan.
Schneider: Modicon Quantum 140 processor, I / O modules, power modules, and more.
Siemens: S5 / S7 Series 200, 300, 400; 6AV / 6GK Series spare parts.
Servo control system:FANUC (Fanuc): servo amplifier A06B, drive A06B, input and output modules A02B / A03B, PCB A16B / A20B.
Siemens: 6SN / 6FC / 6FX series, offering sales of CNC systems (810, 802D SL, 810D, 840D) and spare parts.
Yaskawa (Yasukawa): servo controller, servo motor, servo drive.
ABB Robots, FANUC Robots, YASKAWA Robots, KUKA Robots, Mitsubishi Robots, OTC Robots, Panasonic Robots, MOTOMA
PFSK101 YM322001-EDccording to Gartner, the tech trend of 2021 is hyperautomation—a business approach of automating as many processes as possible. Gartner predicts that by 2024 hyperautomation will help organizations reduce operational costs by 30%. Successful execution of hyperautomation promises increased efficiency and reduced costs, but what are the barriers to pulling it off? Here Johan Jonzon, CMO and co-founder of pioneer in edge analytics and integration, Crosser, explores.There are a number of reasons why a business may strive for hyperautomation. For instance, it may be to increase productivity to keep up with rising demand without the rapid expansion of factory floor space and employees. Hyperautomation can also come to the rescue in a business whose IT team is unable to keep up with accumulating projects due to lack of resources or knowledge.It also helps meet regulatory compliance, as automated processes have a higher level of consistency and minimize the possibility of human error. In addition, hyperautomation provides a way to update outdated work processes that are resulting in latency.
PFSK101 YM322001-EDdoption of hyperautomation is expected to surge across a variety of industries, including manufacturing. In IT terms, hyperautomation involves automating data workflows—the sequence of steps that process a set of data to produce a particular outcome.In a traditional manufacturing model, there can be a high number of steps needed to complete a task, which often require human intervention. For example, for a robot to produce a part, an IT expert may have to create the relevant code, and then a facility engineer program the machine to carryPFSK101 YM322001-ED out the appropriate actions.In contrast, PFSK101 YM322001-EDan organization that embraces hyperautomation can integrate the robot with any type of system to enable machine to machine communication. The automated intelligent workflows between systems can be viewed and managed through an overseeing platform. This enables the machine data to be the trigger for data flow automations within the whole industry network, from shop floor to top floor.The goal of a hyperautomation strategy is to eliminate any unnecessary steps in the process of completing a task and automate those remaining. This streamlines business processes, reducing the need for human intervention. Automating data workflows reduces the workload for IT teams, and increases overall business efficiency. Once automated, the workflows can easily be managed in a single digital platform.
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