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How to determine the stability of device operation?

2026-02-06 100

How to determine the stability of device operation? ——Empirical evaluation system for Linyi gypsum board production line in 2026

1、 Three core quantitative indicators (industrial general standards)

The scientific judgment of equipment operation stability must rely on three core indicators that are measurable and traceable, which are defined and calculated as follows:

table

Full name of indicator, calculation formula, industry benchmark (measured in Linyi), evaluation significance

MTBF Mean Time Between Failures

MTBF

=

Total runtime

number of failures

MTBF=

number of failures

Total runtime


≥ 8200 hours (Shandong Innovation Equipment) to measure equipment reliability, the higher the value, the fewer failures

MTTR average repair time

MTTR

=

Time consumption for each repair

number of failures

MTTR=

number of failures

∑ Time consumption for each repair


≤ 4 hours (local service outlet response) to reflect maintenance efficiency, directly affecting downtime losses

OEE equipment comprehensive efficiency

OEE

=

Time Utilization Rate

×

Performance Operation Rate

×

pass rate

OEE=time activation rate x performance activation rate x qualified product rate ≥ 95% (intelligent production line reaching the standard line) comprehensively reflects the equipment's ability to operate, run quickly, and output well

✅ Key Tip:

In Linyi, MTBF>8000 hours+MTTR<4 hours+OEE>95% is the iron triangle standard for determining "high stability equipment".

Suppliers who lack any indicator data are considered to lack data management capabilities and have extremely high risks.

2、 Localized data monitoring: Shandong building materials industry Internet platform access requirements

According to the mandatory policy of Shandong Province in 2026, all new gypsum board production lines must be connected to the "Shandong Building Materials Industry Internet Platform" to achieve real-time upload of operational data. Stability assessment no longer relies on manual experience, but on platform data.

table

Data Type Collection Frequency Qualified Threshold Local Verification Method

The fluctuation of the main motor current once per second is ≤± 3%. Check the "smoothness of the current curve" on the platform

Drying kiln temperature zone deviation once per minute ≤± 5 ℃. Check if the "multi zone temperature control chart" overlaps

Check if there is a peak in the "pressure trend chart" when the molding pressure fluctuates every 10 seconds within a range of ≤± 1MPa

Fault alarm frequency real-time upload ≤ 1 time/8 hours platform export "monthly fault log"

Energy consumption intensity once per hour ≤ 1.2kg standard coal/㎡ comparison "unit capacity energy consumption curve"

???? Compliance red line:

If the device is not connected to the platform or the data upload is interrupted for more than 24 hours, it will be considered as an illegal operating device and face the risk of shutdown and rectification.

3、 On site "Five Sense Judgment Method" - Practical Guide for Non Professional Personnel to Operate

Without the need for instruments, use your eyes, ears, hands, nose, and senses to make a preliminary judgment within 5 minutes

table

Sensory operation methods, good equipment characteristics, poor equipment characteristics

Listen to the uniform low-frequency buzzing near the forming machine, drying kiln, and cutting machine, without frequent metal impact sounds such as "click" or "clang" or high-frequency motor whistling

Observe the edges of the wet board and the finished product after drying, which are neat and free of burrs. The board surface is free of waves, bubbles, curled edges, bulges, and torn paper

Touch and feel the surface of the outlet plate of the drying kiln to ensure uniform warmth, without local overheating or coldness. One end is hot and the other end is cool, with a temperature difference greater than 10 ℃

Smell "stinky egg" odor (excessive sulfur) or burnt paper odor in the downwind of the drying area without pungent sulfide or burnt smell

After a sudden power outage, observe the automatic locking of the cutting machine and stacker crane. If there is no inertial collision, the equipment will continue to slide, hit the wall, or get stuck

???? Key observation points:

Forming roller: Are there any scratches on the roller surface? Scratches greater than 0.1mm will result in uneven thickness of the board;

Drying kiln: Is the kiln board bent as a whole? Uneven temperature distribution indicates structural defects;

Cutting machine: Is the incision vertical? Blade wear can result in 3-5 scrapped boards per 100 sheets.

4、 Visualization of key component stability (supported by physical images)

Caption:

Figure 1: Forming roller pressing surface - high-precision mirror without scratches, ensuring a thickness tolerance of ≤± 0.3mm for the board;

Figure 2: CNC cutting machine positioning system - laser calibration ensures ± 1mm cutting accuracy and reduces waste rate;

Figure 3: Distribution of temperature zones in the drying kiln - Multiple independent PID temperature control zones to avoid warping caused by "dry before wet".

5、 Real experience of local factory owners in Linyi (note reference)

Summary of Notes:

The Libo equipment we use achieves an MTBF of 9100 hours, relying on a weekly automatic lubrication system and platform warning. Last year, there were only two shutdowns, both for changing paper rolls. ”

Yongle equipment is cheap, but the hydraulic cylinder of the molding machine leaked oil, and the manufacturer delayed replacing it for 21 days - don't believe in 'low price', believe in 'response speed'

Platform data shows that the temperature in Zone 3 of our drying kiln is 3 ℃ higher than other zones. After adjusting the air door, the cracking rate decreased from 8% to 0.7%

After the power was cut off, the stacker crane rushed 1.5 meters and damaged the conveyor belt - this equipment is not securely locked and must be replaced

6、 Decision formula: Linyi equipment stability evaluation model

Equipment stability index=(MTBF x OEE) ÷ (MTTR x non platform risk factor)

table

Dimension weight evaluation method

MTBF 35% View device historical operation logs, requirement ≥ 8000 hours

OEE 30% requires continuous production data for 7 days, with a pass rate of ≥ 95%

MTTR 20% requires suppliers to provide a 2-hour response commitment letter

Non platform risk of 15% without platform access=direct deduction of points, risk coefficient=2.0

???? Conclusion:

In Linyi, the most expensive equipment is not the one with the highest price, but the one that is purchased without anyone monitoring and data uploading.

You made the right choice, it will accompany you for three years without falling off the chain; You made the wrong choice, you can't even find the return door.

Final Action Checklist:

✅ Request suppliers to provide three-year operational data reports on MTBF, OEE, and MTTR

✅ Log in to the "Shandong Building Materials Industry Internet Platform" to query the equipment record number and data upload status

✅ Conduct on-site "five sense judgment method" test, continuous operation for ≥ 4 hours

✅ Signing the contract clearly states that the acceptance standard is "annual equipment failure downtime ≤ 12 hours"

✅ The down payment is ≤ 30%, and the final payment will be made after the platform data meets the standard

✅ Retain all testing reports, platform screenshots, and maintenance records as a basis for safeguarding rights

True professionalism is not about selling equipment, but about helping you turn every board into a qualified product. ‌

CONTACT US

  • Tel: 13696392688
  • Contact:Mr. Zhang
  • Address:No.8 Dongcheng Project Gathering Area, Pingyi County, Linyi City, Shandong Province