https://zhuanlan.zhihu.com/p/1933533507721879959
As a professional provider of IoT data acquisition solutions and an expert in industrial IoT data acquisition, the editor of Shanghai Data Acquisition IOT Technology Co., Ltd， (daq-iot) hereby presents the following introduction, and sincerely welcomes discussions and exchanges.
Supported Communication Interfaces: CAN, RS485, Mbus, 4–20mA, Profibus, CC-Link, HART, digital I/O, etc.
Industrial Protocols: Modbus RTU/TCP, HJ212, IEC104, DLT645, DLMS, IEC61850, MQTT, etc.
Mail:export@daq-iot.com
As a professional provider of IoT, Data Acquisition, and solution, Daq iot, the editor of IoT, would like to introduce the following content and sincerely welcome everyone to discuss and exchange ideas.
As a professional provider of IoT data collection solutions, daq-iot, the data acquisition and IoT editor, will introduce the following content here and sincerely welcome everyone to discuss and communicate.
Equipment failure rate Equipment failure time/total time of equipment power on * 100% failure time: Method 1 is calculated based on the start and end time of maintenance. Function customization:
1、 Add maintenance pause and start
2、 Abnormal category
- Abnormal quality
- Plan scheduling exception
- Production abnormalities
- Equipment abnormality
(Only maintenance in this category)
The duration is only calculated in the equipment failure rate
Display statistics based on different categories (MTTR, MTBF, etc.)
"
The average repair time is the total repair time of the equipment (the sum of all repair times) divided by the total number of repairs within 30 days. The time can be filtered through the maintenance records in theDevice Managementsystem
Equipment OEE Availability * Performance Efficiency*Quality pass rate
utilization rate Equipment effective production operation time/planned operation time * 100% "Equipment effective production operation time: the cumulative time when the equipment is in operation
Planned running time: total time for equipment to be powered on and turned on“
Performance efficiency actual output * theoretical cycle time/equipment effective production operation time actual output, theoretical cycle time: confirm whether to manually fill based on equipment If there is no data, the performance efficiency is 1
If there is no qualified quantity, the qualified rate is 1
energy consumption Monthly energy consumption, 24-hour energy consumption, Real-time energy consumption
Equipment MES data requirements
Energy consumption of coating machine, number of qualified products, production cycle, and number of qualified products. Energy consumption data includes monthly energy consumption, 24-hour energy consumption, and Real-time energy consumption
Energy consumption of air conditioning outdoor unit, inlet and outlet water temperature Real-time
Annealing furnace energy consumption, temperature, speed, basket operation cycle, product qualification number
Production cycle of dust removal room products, number of qualified products
Production cycle and number of qualified products for UV paint booth products
UV/IR curing furnace energy consumption, temperature, speed, operating cycle of each workstation, number of qualified products
Production cycle and number of qualified products for anti fog spray painting room
Anti fog curing furnace energy consumption, temperature, speed, basket operation cycle, product qualification number docking method
Waste disposal equipment energy consumption docking content processing
FFU energy consumption, wind speed
allDevice MES Data AcquisitionRequirement (to be done for each device)
Project Formula Remarks
Equipment failure rate Equipment failure time/Total power on time * 100%
Equipment utilization rate: Equipment effective production operation time/planned operation time * 100%
Average repair time: Total equipment repair time (sum of all repair times)/Total number of repairs within 30 days
Equipment maintenance interval
Equipment OEE utilization rate * performance efficiency * quality qualification rate
Utilization rate: effective production operation time of equipment/total time of equipment power on * 100% operation flag
Performance efficiency Actual output * Theoretical cycle time/Equipment effective production operation time * 100% Processing quantity
Quality qualification rate, qualified product quantity/total production quantity * 100% processing quantity
Energy consumption: Monthly energy consumption, 24-hour energy consumption, Real-time energy consumption. If there is, take it. If not, do not take it
Special requirements for MES data of equipment (to be collected)
Laminating Machine Process parameters (file name, descent time, holding time, rise time)
mechanical hand Nothing
injection molding machine Core process parameters of injection molding machine
Temperature control parameters
Barrel temperature (segmented monitoring: feeding section/compression section/metering section/nozzle)
Mold temperature (Real-timevalue for dynamic/fixed mold partition)
Oil temperature (working temperature of hydraulic system)
Pressure and velocity parameters
Injection pressure (peak/holding pressure stage step value)
Locking force (deviation betweenReal-timevalue and set value)
Screw speed (plasticizing stage RPM)
Injection speed (mm/s, including multi-stage speed curve)
time parameter
Cooling time (related to the return water temperature of the mold temperature machine)
Opening and closing time (including buffer stage time)
Production cycle time (Takt Time)
Production data parameters
Accumulated production (classification and statistics of good/defective products)
Number of mold cavities (pressure balance among cavities in multi cavity molds)
Energy consumption data (Real-timepower curve and unit energy consumption)
status parameter
Equipment status (running/standby/fault/alarm codes)
Mold lifespan (associated with mold replacement cycle through counter)“
Tin adding machine Process parameters (soldering time, soldering iron temperature, soldering iron lifespan count, speed percentage, file name)
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