IOT News

Cold Chain Logistics Park Energy Monitoring and Operation & Maintenance Management Platform Solution

Published: 2026-06-24 11:04:22

A cold chain logistics park comprises multiple large-scale cold storage facilities, covering freezing, refrigeration, and constant/ambient temperature storage scenarios. It involves refrigeration units, evaporators, air coolers, lighting, defrosting systems, and other equipment, with stringent temperature control requirements and substantial total energy consumption. The park currently faces challenges such as mixed equipment brands, opaque energy consumption data, maintenance reliant on manual experience, and inefficient energy use in refrigeration systems. These issues lead to low energy utilization efficiency, prolonged fault diagnosis cycles, and persistently high operational costs. The main pain points are as follows:

 

On the operations and maintenance side, the refrigeration equipment in each cold storage facility operates independently, lacking a unified data acquisition and monitoring platform. The traditional manual inspection approach lags behind, with equipment fault detection delayed by an average of several hours and untimely response to abnormal storage temperatures, which seriously compromises the safety of stored goods and the overall stability of the park.

 

On the energy side, critical operational parameters generated by each cold storage facility—such as temperature, humidity, pressure, energy consumption, and defrosting status—cannot be effectively aggregated and utilized. The absence of cross-system data correlation analysis leads to uncoordinated scheduling among refrigeration units, fans, and defrosting systems, resulting in the phenomenon of "equipment running but with excessive energy consumption."

 

In response, WideIOT provides a cold chain logistics park energy monitoring and operations & maintenance management platform solution centered on an industrial IoT platform. This solution enables access and unified centralized management of various cold storage equipment, delivering capabilities such as remote monitoring, intelligent alarms, dynamic optimization, energy-saving control, maintenance management, and data analytics. It provides comprehensive and reliable data support and intelligent decision-making basis for park management.

Functional Capabilities

The platform is compatible with a wide range of devices, including PLCs, instruments, sensors, and cameras. It can monitor in real time the operating status and process parameters of refrigeration units, temperature sensors, water/electricity meters, and other equipment, enabling remote monitoring via mobile and PC terminals.

 

The platform provides a configuration editing tool for building visual data dashboards, centrally displaying temperature and humidity distribution, equipment status, alarm parameters, and energy consumption data across all cold storage facilities, achieving "visibility, traceability, and controllability" of equipment and energy usage.

 

Automatic alerts are triggered for temperature/humidity exceedances and equipment faults, with multi-channel push notifications (WeChat, SMS, email, audible/visual alarms, etc.). At the same time, it supports remote PLC programming and debugging, enabling rapid fault diagnosis and resolution to shorten downtime.

 

Based on data analytics, the platform enables intelligent on-demand defrosting, dynamic storage temperature regulation, and optimized group control of equipment. Control commands can be issued through the platform to effectively reduce unnecessary energy consumption, minimize energy waste, and improve energy utilization efficiency.

 

A comprehensive operations and maintenance management mechanism is provided, realizing a full closed-loop process from alarm → work order → review → acceptance. It enables rapid statistics on work order volume, processing progress, operational logs, and other information, thereby enhancing maintenance management standards.

 

Automatically generates energy efficiency analysis reports and equipment health assessments, supporting analyses such as energy consumption trends, energy efficiency rankings, and carbon emission accounting, providing data support for energy-saving retrofits and predictive maintenance.

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