IOT News

Industry Background

With sustained economic growth and rising consumer spending power, dining and food service consumption has increased steadily—driving rapid development in the catering industry while also causing a sharp rise in kitchen waste. According to data from the Ministry of Housing and Urban-Rural Development, by the end of 2020, the food waste processing capacity of 46 key cities nationwide stood at approximately 62,800 tons per day—absorbing only about 20% of total kitchen waste generated, leaving substantial market space for food waste treatment in China.

Food waste processing facilities are required to install online monitoring systems and over-limit alarm devices in accordance with regulations. Related monitoring and alarm equipment must operate normally, and environmental monitoring data along with key process parameters must be uploaded to informatized regulatory platforms as required. Equipment manufacturers therefore need to implement remote monitoring and intelligent maintenance for food waste processing equipment to ensure the safe and stable operation of environmental protection facilities.

Industry Pain Points

Scattered Processing Facilities – Food waste processing equipment is typically distributed across communities, restaurants, and hotels nationwide, making centralized management and maintenance difficult—and faults often go undetected.

High Operating Costs – Traditional manual inspection and on-site maintenance models require substantial human and material resources. Engineers frequently travel for service, resulting in heavy workloads and persistently high maintenance costs.

Delayed Data and Information – The lack of effective informatization tools prevents enterprises and regulatory authorities from grasping equipment operating status and treatment results in real time, leaving insufficient basis for decision-making.

Solution Overview

To address these pain points, WideIOT offers a remote monitoring and maintenance management system solution for food waste processing equipment. By connecting WideIOT industrial smart gateways to food waste processing equipment PLCs, real-time data is collected and transmitted via 5G/4G to a device maintenance management platform. Enterprises can then achieve status monitoring, fault alerting, maintenance management, remote maintenance, and data analytics for distributed equipment—promptly identifying abnormal fault risks and taking management and control measures to ensure safe and stable equipment operation with treatment results meeting standards.

In addition, data can be integrated with environmental protection bureau platforms, enabling data sharing and collaborative management among equipment manufacturers, customers, and regulatory authorities—better implementing relevant policies and building a positive corporate image.

System Functions

Real-Time Monitoring – Enables comprehensive monitoring of key parameters from food waste processing equipment—such as temperature, pH, gas concentration, voltage, and current—generating visualized data reports for quick query and identification.

Automatic Alerts – When abnormal equipment data is detected, the system automatically sends alert notifications to relevant personnel via WeChat, SMS, or email—enabling rapid identification of hidden faults and timely action to prevent downtime.

SCADA Monitoring – Based on cloud SCADA, the system visually recreates the food waste treatment process—providing intuitive insight into the status and real-time parameters of sorting, crushing, loading/unloading, anaerobic treatment, and wastewater treatment—ensuring safe and orderly food waste processing.

Remote Maintenance – With the WideIOT Remote Maintenance Tunnel, engineers can perform remote PLC programming, debugging, and program upload/download anytime, anywhere—improving maintenance efficiency and reducing travel expenses.

Maintenance Management – Establishes comprehensive equipment archives and repair records, enabling creation, editing, management, review, and assignment of maintenance work orders—optimizing the allocation of maintenance personnel and materials and building efficient, reliable maintenance services.

Data Analytics – Collected data is transformed into various reports and trend charts, supporting rational assessment and data analysis—providing reliable data support for maintenance service optimization and product R&D innovation.