aid: belts name: Belts url: https://raw.githubusercontent.com/api-evangelist/belts/refs/heads/main/apis.yml created: '2024-01-15' modified: '2026-04-19' type: Index image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg specificationVersion: '0.19' description: >- Belts covers the landscape of APIs, data standards, and digital resources related to conveyor belts and industrial belt systems. This topic encompasses conveyor belt monitoring and predictive maintenance APIs, industrial IoT sensor data for belt condition tracking, and the standards bodies that govern belt conveyor design and safety. Key organizations include CEMA (Conveyor Equipment Manufacturers Association) and ANSI, which define design, installation, and safety standards for belt conveyors used in mining, manufacturing, food processing, and bulk material handling industries. tags: - Bulk Material Handling - Condition Monitoring - Conveyor Belts - IIoT - Industrial Automation - Manufacturing - Mining - Predictive Maintenance - Sensors apis: [] common: - type: Website url: https://cemanet.org title: CEMA - Conveyor Equipment Manufacturers Association - type: Website url: https://webstore.ansi.org/industry/conveyors/belt-standards title: ANSI Conveyor Belt Standards - type: Documentation url: https://cemanet.org/resources/publications/ title: CEMA Publications and Standards - type: Features data: - name: Conveyor Belt Standards description: >- CEMA and ANSI standards define over 1,500 terms for conveyors, conveyor systems, and allied equipment, covering design, installation, safety codes, dimensions, test methods, and performance characteristics for belt conveyors. - name: Belt Condition Monitoring description: >- Industrial IoT sensor systems monitor conveyor belt condition in real time, tracking parameters such as tension, speed, temperature, alignment, and wear to enable predictive maintenance and prevent unplanned downtime. - name: CEMA Design Standards description: >- ANSI/CEMA Standard No. 402 and related standards establish recommended design and application engineering practices for unit handling and bulk material belt conveyors in mining, food processing, and manufacturing. - name: Industrial Sensor Integration description: >- Conveyor belt monitoring systems integrate with industrial sensors via OPC UA, MQTT, and REST APIs to stream belt health data to SCADA, MES, and cloud analytics platforms. - name: Predictive Maintenance APIs description: >- Cloud-based predictive maintenance platforms offer APIs for ingesting conveyor belt sensor data, running ML-based failure prediction models, and generating maintenance work orders. - type: UseCases data: - name: Mining and Bulk Material Transport description: >- Conveyor belt systems transport coal, ore, aggregates, and other bulk materials in mining operations, with API integrations for production monitoring and material tracking. - name: Food Processing and Packaging description: >- Food-grade conveyor belt systems in processing and packaging facilities require sanitation compliance tracking and production throughput monitoring via SCADA and MES integrations. - name: Manufacturing Line Automation description: >- Assembly line conveyor belts integrate with manufacturing execution systems and robotics via industrial protocols to coordinate production flow and quality inspection. - name: Predictive Maintenance description: >- IoT-enabled belt monitoring systems detect early signs of wear, misalignment, and overheating, triggering maintenance alerts and work orders through connected CMMS platforms. - name: Logistics and Distribution description: >- Sortation conveyors in warehouses and distribution centers integrate with warehouse management systems via API to route packages and track throughput. - type: Integrations data: - name: OPC UA description: >- OPC UA is the primary industrial interoperability standard for conveyor belt control systems, enabling real-time data exchange between belt controllers, SCADA, and enterprise systems. - name: MQTT description: >- MQTT protocol is used for lightweight sensor data streaming from conveyor belt IoT edge devices to cloud-based monitoring and analytics platforms. - name: SCADA Systems description: >- Supervisory Control and Data Acquisition (SCADA) systems integrate with conveyor belt PLCs and sensors to provide operational visibility and control across industrial facilities. - name: CMMS Platforms description: >- Computerized Maintenance Management Systems receive predictive maintenance alerts and automatically generate work orders when belt sensor data indicates approaching failure conditions. maintainers: - FN: Kin Lane email: kin@apievangelist.com