Unplanned Downtime Reduction
Proprietary AI time-series anomaly detection shifts from reactive repair to predictive early warning
Proprietary AI time-series anomaly detection shifts from reactive repair to predictive early warning
MQTT, Modbus-RTU/TCP standard protocols — reuse existing equipment
No production line modification needed — standard protocol devices connected quickly
Printed right here: 1-4 units $420/unit-year, 5-19 units $280, 20+ units $140. Hardware excluded — use what you already have.
Note: The figures above are common industry estimates rather than official statistics. Actual losses and energy savings vary widely by industry, production line, and equipment condition — please rely on on-site assessment.
Equipment doesn't suddenly fail — changes in temperature, vibration, current, and energy consumption are distress signals it sends.
Detect overheating, cooling failures, and wiring degradation before equipment burns out.
Catch early signs of bearing wear, imbalance, and looseness — warn before failures escalate.
Identify overload, phase loss, and stall conditions. Monitor motor status and load changes in real-time.
Spot hidden waste — leaks, idle equipment, and abnormal off-hour consumption patterns.
It's not that your O&M team isn't working hard — the tools just haven't kept up. From reactive firefighting to proactive early warning, the missing piece is an AI monitoring system that learns and closes the loop.
Alerts only fire when limits are exceeded — slow degradation goes unnoticed. A single fault floods dozens of false alerts, burying real risks.
Learns each device's operational baseline to detect slow drift and hidden anomalies. 80% fewer false alarms, alerts routed to the right people.
Alerts dumped into chat groups — who handles what? Night alerts buried, discovered the next day.
Graded, person-specific routing by urgency. Unacknowledged alerts auto-escalate. Full traceability: Alert → Work Order → Resolution → Archive.
New monitoring systems often require rewiring, equipment replacement, and production stoppage — long project cycles impacting output.
Compatible with 95% of DTUs/sensors. MQTT/Modbus standard protocols. No production line changes — 30 minutes to complete data integration.
Traditional maintenance relies on manual inspections — anomalies are often only discovered after losses occur. ZHIYUAN makes equipment status visible in real-time, actively warning before failures escalate.
→ Downtime Loss + Emergency Repair + Production Impact
→ Less Unplanned Downtime + Lower Repair Costs + Continuous Production
Five steps to close the loop: Connect, Store, Detect, Visualize, Resolve. Peace of mind for every operation.
传统监测只有固定阈值报警,容易产生大量误报、告警风暴。平台内置AI时序分析模型,学习设备历史运行规律…
Click for details支持MQTT、Modbus-RTU/TCP等主流工业物联网协议,兼容市面成熟DTU、传感器,无需自研…
Click for details基于时序数据库,海量设备传感器数据存储,长时间历史曲线查询,回溯设备故障全过程,用于故障复盘。…
Click for details实时总览所有设备在线状态、实时参数、告警统计,自定义看板,支持PC网页查看。…
Click for details告警事件一键生成维保工单;维保人员微信小程序接收告警、接单、现场签到、拍照存档,工单全流程闭环管理。…
Click for detailsData sourced from authoritative industry reports and academic research. ZHIYUAN believes data is the greatest productivity, and safety is the greatest efficiency.
Direct loss range from unplanned downtime in SMEs — varies widely by industry and production line
Common industry estimateTraditional threshold alarms carry a high false-positive rate, burying real risks
Common industry figure (varies by study)Energy leakage accounts for 8-15% of total factory energy consumption — hard to detect manually
Typical range found in energy auditsWe no longer run purely free pilots — unpaid engagements get no resources and prove nothing about willingness to pay. The rule now: diagnosis is free, the pilot takes a deposit, and it is credited to your annual fee.
Limited slots this round — requires an equipment list and site survey
No one in an SME factory stares at dashboards all day. So we take the whole job: connect the machines, watch for anomalies, dispatch work orders, send monthly reports. You just get the phone call before it breaks.
First 3 units — get an AI health report
Refundable deposit, credited to your annual fee
Priced per unit per year, monthly report included
Data stays in-plant, project-based pricing
Full pricing & volume tiers →Calculate my annual downtime cost →
We are not building a one-size-fits-all IIoT platform. We studied the failure modes of four core rotating equipment types — so SME factories can actually afford predictive maintenance. Non-intrusive monitoring: no equipment replacement, no line modification, 30-minute data integration.
空压机振动、温度、电流在线监测,提前预警轴承劣化与高温停机,减少非计划停机
空压机振动温度在线监测,AI轴承劣化预警,防止高温停机,减少非计划停机损失。…
水泵振动、温度、电流在线监测,提前预警轴承故障与气蚀异常,保障供水安全
水泵振动温度电流在线监测,AI轴承故障与气蚀预警,保障供水安全,减少非计划停机。…
风机振动、温度在线监测,提前预警轴承劣化、不平衡与松动故障
风机振动温度在线监测,AI轴承劣化与不平衡预警,替代高空巡检,减少非计划停机。…
电机振动、温度、电流在线监测,提前预警轴承与电气故障,保障动力核心
电机振动温度电流在线监测,AI机械+电气故障预警,多电机统一管理,减少非计划停机。…
Not a one-off project — a long-term partnership. Data-driven from day one, so every operation runs with peace of mind.
Standard protocol devices use our point table template. Data reporting and integration completed within 30 minutes. Complex protocols evaluated separately — no over-promising.
Business hours tech support hotline + always-on alert monitoring channel. Real-time emergency response — no issue left overnight.
Encrypted transmission + tiered time-series storage. Data retention based on subscription plan. Key data can be exported periodically by customers.
No fluff about "improving management". Every case answers three questions: how many hours saved, how much money saved, how fast the payback.
Hebei XX Machinery Plant | 12 Air Compressors/Pumps Predictive Maintenance
Beijing XX Elevator Maintenance | 68 Elevators Intelligent Monitoring
Manufacturing Plant | Air Compressor/Pump Status Monitoring
Aquaculture Farm | Environmental Temperature & Humidity IoT Monitoring
Warehouse & Storage | Temperature & Humidity Alert System
Industrial Park | Water, Electricity & Gas Energy IoT Monitoring
Basis: comparisons are between pre- and post-pilot periods of equal length, not third-party audited, and do not constitute a performance guarantee. Actual results vary with operating conditions, equipment age and maintenance practice — acceptance data governs.
Includes industrial equipment early warning, energy management, and smart aquaculture scenarios, with industry data and ROI estimation models.
Slowly 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.
Over 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.
Water, 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.
All free — just fill in your name, phone, equipment type, and device count to access.
Online calculator + downloadable Excel template — input device count, unit value, and average downtime to auto-calculate annual potential losses.
Calculate & Download Excel →PDF handbook with illustrated common vibration anomaly types, diagnostic criteria, and solutions. View online or print as PDF.
View & Download PDF →First 3 devices free — 30-min data onboarding with AI health assessment report.
Check 3 Devices Free →Online calculator: estimate annual maintenance cost savings and downtime loss reduction after deploying monitoring.
Calculate ROI →Yes. The platform supports standard industrial protocols like MQTT/Modbus and is compatible with mainstream DTUs and sensors. No equipment retrofit needed.
Depends on your monitoring needs — temperature, vibration, current, humidity, etc. Hardware is procured by the customer or reused from existing equipment; we handle the integration.
Yes. We support private deployment, with all data remaining on your premises for security and compliance.
Alerts are routed by severity to WeCom/SMS. A work order is auto-generated. Unacknowledged alerts auto-escalate. Full process is logged.
Standard protocol devices integrate in 30 minutes. Projects including hardware installation typically go live within 1-2 weeks.
Enter your unit count, cost per downtime event and annual events — you get your potential annual loss, our annual fee, and the gap. After the free diagnosis we stop contacting you unless you reach out first.
Risk reversal: first 3 units free; pilot deposit credited in full after acceptance, refunded if not.