Resources
Equipment O&M, AI alerting, energy management, elevator maintenance — practical guides and technical explainers from the field. Each article includes free checklists and resources to help you manage factory equipment with a data-driven mindset.
View ArticlesSlowly increasing motor current is often more dangerous than sudden overload. This article breaks down how current trend analysis helps factories catch bearing degradation signals before failure, avoiding unplanned downtime.
Read MoreOver 40% of threshold alerts are invalid. Alert storms, alert fatigue, and real risks buried in noise — this article uses data and scenario comparisons to explain why factories need AI alert noise reduction.
Read MoreWater, electricity, and gas leaks won't show up on monthly bills — they appear in off-hours sub-meter data. This article explains how sub-metering + time-segment comparison can precisely locate energy anomalies.
Read MorePaper maintenance records are one of the biggest management costs for elevator maintenance companies. This article explains how IoT monitoring + work order systems enable automatic archiving of maintenance records.
Read MoreDoes your phone blow up every time equipment acts up? This article breaks down the three root causes of alert storms and shares three noise reduction strategies — delayed confirmation, time-window merging, and graded push — to free your O&M team from alert fatigue.
Read MoreMost legacy factory equipment has no digital interface — must you replace it? This article introduces how external sensors + DTU can give decade-old equipment AI predictive alerting capabilities.
Read MoreMQTT and Modbus are the two most common protocols in industrial IoT. Which fits your scenario? This article compares response speed, network overhead, and use cases to help you choose.
Read MoreOne unplanned shutdown = repair costs + production loss + late delivery penalties. This article uses real data to break down the complete cost and analyze the ROI of equipment monitoring systems.
Read MoreNo idea where to start with factory monitoring? This guide walks you through sensor selection, protocol comparison, DTU configuration, and platform deployment — from 0 to 1.
Read MoreOnly know the total on your monthly electricity bill? This article breaks down the complete upgrade path from digital meter reading, sub-metering, anomaly diagnosis to AI optimization.
Read MoreManaging 300+ elevators with WeChat groups and paper work orders? This article documents a real elevator maintenance company's complete digital transformation from manual to smart O&M.
Read MoreHow to secure your equipment after going cloud? This article covers the full security practice of industrial IoT — from network isolation, transport encryption, device authentication to platform security.
Read MoreScrew compressors usually trip on discharge temperature somewhere between 100 and 120 °C, and the trip is rarely sudden. Temperature rise drift, ramp rate, oil filter and separator differential pressure, load factor and specific power all move a week ahead of it. Here are the signals to check yourself and the order to troubleshoot in.
Read MoreA high vibration velocity RMS tells you the machine is shaking, not why. This article separates imbalance, misalignment, cavitation and looseness from genuine bearing damage using spectrum and envelope analysis, so you stop replacing bearings that were never the problem.
Read MoreDowntime cost cannot be guessed. A five-part framework you can fill in yourself — lost contribution margin, labour and overtime, scrap and rework, parts and subcontractors, delivery risk — with a worked example, three scenarios and the payback maths for condition monitoring.
Read MoreMany factories assume predictive maintenance means replacing every sensor. In fact, 95% of existing sensors can be reused — you only need to add a DTU data terminal. This article breaks down what hardware can stay, what must be replaced, and how to do the math.
Read MoreSet thresholds too high and you miss failures. Set them too low and your phone floods with false alarms. Factory O&M teams are bombarded with dozens of invalid alerts daily, while real dangers get buried. This article dissects the structural flaws of threshold alerting and how AI dynamic baselines solve alert fatigue at the root.
Read MoreFrom initial wear to complete failure, pump bearings typically offer a 2-4 week window. This article breaks down bearing damage vibration spectrum features (BPFO/BPFI/BSF/FTF) and current trend patterns, helping factories schedule planned maintenance before bearing failure and avoid unplanned downtime.
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