Unplanned Downtime Reduction
Proprietary AI time-series anomaly detection shifts from reactive repair to predictive early warning
DTU / Sensor Compatibility
MQTT, Modbus-RTU/TCP standard protocols — reuse existing equipment
Rapid Onboarding
No production line modification needed — standard protocol devices connected quickly
Industry Scenarios
Manufacturing | Energy | Aquaculture | Elevator | Warehouse
Data sources: Average hourly loss from unplanned downtime in SMEs: $2000 (China Association of Plant Engineering, 2025); Traditional threshold alarm false-positive rate >40% (IEEE Trans. on Industrial Informatics, 2024); Factory energy leakage accounts for 8-15% of total consumption (National Energy Conservation Center).
What Is Your Equipment Telling You?
Equipment doesn't suddenly fail — changes in temperature, vibration, current, and energy consumption are distress signals it sends.
Temperature Anomaly
Detect overheating, cooling failures, and wiring degradation before equipment burns out.
Vibration Anomaly
Catch early signs of bearing wear, imbalance, and looseness — warn before failures escalate.
Current Anomaly
Identify overload, phase loss, and stall conditions. Monitor motor status and load changes in real-time.
Energy Anomaly
Spot hidden waste — leaks, idle equipment, and abnormal off-hour consumption patterns.
Why do equipment failures always seem to happen out of nowhere?
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.
Traditional Approach
Fixed Threshold Alerts
Alerts only fire when limits are exceeded — slow degradation goes unnoticed. A single fault floods dozens of false alerts, burying real risks.
Platform Solution
AI Time-Series Anomaly Detection
Learns each device's operational baseline to detect slow drift and hidden anomalies. 80% fewer false alarms, alerts routed to the right people.
Traditional Approach
Phone Calls / Group Chats
Alerts dumped into chat groups — who handles what? Night alerts buried, discovered the next day.
Platform Solution
WeCom/SMS Graded Push + Auto Workflow
Graded, person-specific routing by urgency. Unacknowledged alerts auto-escalate. Full traceability: Alert → Work Order → Resolution → Archive.
Traditional Approach
Costly Retrofits & Downtime
New monitoring systems often require rewiring, equipment replacement, and production stoppage — long project cycles impacting output.
Platform Solution
Reuse Existing Sensors, Plug & Go Live
Compatible with 95% of DTUs/sensors. MQTT/Modbus standard protocols. No production line changes — 30 minutes to complete data integration.
From "Fix After Failure" to "Early Warning Before Failure"
Traditional maintenance relies on manual inspections — anomalies are often only discovered after losses occur. ZHIYUAN AIoT makes equipment status visible in real-time, actively warning before failures escalate.
Traditional Maintenance
- 1Equipment Running
- 2Anomaly Occurs
- 3Equipment Stops
- 4Manual Discovery
- 5Emergency Repair
- 6Production Loss
→ Downtime Loss + Emergency Repair + Production Impact
ZHIYUAN AIoT Smart Early Warning
- 1Equipment Running
- 2Real-Time Monitoring
- 3Anomaly Detected
- 4Early Warning
- 5Proactive Maintenance
- 6Downtime Reduced
→ Less Unplanned Downtime + Lower Repair Costs + Continuous Production
Full-Stack AIoT capabilities — the invisible guardian of your equipment
Five steps to close the loop: Connect, Store, Detect, Visualize, Resolve. Peace of mind for every operation.
AI智能告警引擎
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多协议设备接入
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时序数据存储与回放
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可视化数据看板
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移动端工单闭环
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 detailsYour factory is facing these three hidden losses
Data sourced from authoritative industry reports and academic research. ZHIYUAN AIoT believes data is the greatest productivity, and safety is the greatest efficiency.
$2000/hour
Average hourly loss from unplanned downtime in small and medium factories
China Association of Plant Engineering, 202540%
Over 40% false-positive rate with traditional threshold alarms burying real risks
IEEE Trans. on Industrial Informatics, 20248-15%
Energy leakage accounts for 8-15% of total factory energy consumption — hard to detect manually
National Energy Conservation Center, Industrial Energy Efficiency ReportZHIYUAN AIoT Factory Monitoring — Early Adopter Recruitment
Let's turn "no reference cases" into "let's build the first case together." Limited free pilot deployment slots — test the value of ZHIYUAN AIoT's early warning AI in your real production environment.
- Free or 50% off monitoring point fees during pilot
- Permanent logo and brand name display on our website
- Priority customization of alert rules and dashboards
- Free "Factory Energy Consumption & Equipment Health Analysis Report"
Apply for Pilot
Limited to the first 3 companies
A Unified AIoT Monitoring Platform Across Industries & Equipment
Five core scenarios — from equipment early warning to energy management, from farming environments to specialized equipment — all covered by one platform.
30-Minute Quick Onboarding, 24/7 Online Guardian
Not a one-off project — a long-term partnership. Data-driven from day one, so every operation runs with peace of mind.
30-Minute Quick Onboarding
Standard protocol devices use our point table template. Data reporting and integration completed within 30 minutes. Complex protocols evaluated separately — no over-promising.
7×24 Dedicated Support
Business hours tech support hotline + always-on alert monitoring channel. Real-time emergency response — no issue left overnight.
Data Security Assurance
Encrypted transmission + tiered time-series storage. Data retention based on subscription plan. Key data can be exported periodically by customers.
They Are Already Using ZHIYUAN AIoT
Machinery Manufacturing
Hebei Xinda Machinery Co., Ltd. | Air Compressor/Pump Predictive Maintenance
Hebei XX Machinery Plant | 12 Air Compressors/Pumps Predictive Maintenance
Accepted
Elevator Maintenance
Beijing Tongda Elevator Maintenance Co., Ltd. | Elevator Intelligent Monitoring & Digital Maintenance
Beijing XX Elevator Maintenance | 68 Elevators Intelligent Monitoring
Pilot Completed
Manufacturing Plant
Air Compressor & Pump Electromechanical Equipment Status Monitoring (General Solution)
Manufacturing Plant | Air Compressor/Pump Status Monitoring
Pilot Completed
Aquaculture Farm
Farm Environmental Temperature & Humidity IoT Monitoring
Aquaculture Farm | Environmental Temperature & Humidity IoT Monitoring
Pilot Completed
Warehouse & Storage
Warehouse & Cold Storage Temperature & Humidity Alert Monitoring
Warehouse & Storage | Temperature & Humidity Alert System
Pilot Completed
Industrial Park
Water, Electricity & Gas Energy IoT Auto Meter Reading & Anomaly Detection
Industrial Park | Water, Electricity & Gas Energy IoT Monitoring
Pilot Completed
Download Free Industry Solution Whitepapers
Includes industrial equipment early warning, energy management, and smart aquaculture scenarios, with industry data and ROI estimation models.
Motor Current Anomaly? Don't Rush to Replace Equipment — It May Be Early Bearing Wear
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.
Why Traditional Threshold Alerts Are Dragging Down Your O&M Team
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.
Energy Leakage Accounts for 8–15% of Factory Energy Consumption — Here's How to Pinpoint It
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.
Answers to Your Equipment Monitoring Questions
Can legacy equipment be connected?
Yes. The platform supports standard industrial protocols like MQTT/Modbus and is compatible with mainstream DTUs and sensors. No equipment retrofit needed.
What sensors need to be installed?
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.
Can it be deployed on-premises?
Yes. We support private deployment, with all data remaining on your premises for security and compliance.
What happens after an alert?
Alerts are routed by severity to WeCom/SMS. A work order is auto-generated. Unacknowledged alerts auto-escalate. Full process is logged.
How long does a project take?
Standard protocol devices integrate in 30 minutes. Projects including hardware installation typically go live within 1-2 weeks.
Make Every Device Speak
Get your equipment intelligent monitoring plan now. Shift from reactive repair to proactive early warning.