The customer is a nation-wide industrial park construction, operation and management group, managing a portfolio of 69 smart logistics industrial parks across regions.
The massive amount of infrastructure monitoring and maintenance work load have put increasing pressure on the company’s technologies and resources. Along with the aging and depreciation issues of utility, power and firefighting equipment, the magnitude of equipment and devices coming from different manufacturers with different protocols and standards, adding complexity on the day -to-day operations and management.
Before engaging with Smardaten, the customer has been largely relying on human patrolling and maintenance with heavy human resources involved. Under increasing pressure both from technology side and resources side, the customer resorted to Smardaten for help. Within only stumbling 30 days, Smardaten team of 3 engineers has successfully deployed a comprehensive centralised platform with intelligent data monitoring and real time data analytical system covering more than 60 smart logistics industrial parks with over 30,000 equipment and devices, collecting 99% of total data volume.
Key Achieved Parameters:
⚫ Industrial parks covered: 60+ (nationwide cross region parks covering
industrial/logistics/chemical engineering parks)
⚫ Daily data volume: 1 million data+
⚫ Integrated equipment: 20,000+
⚫ Equipment being upgraded to intelligent level: 10,000+
⚫ Types of equipment: 5 categories, 50+ subcategories (firefighting, energy related, security camera, telecom equipment etc), involving more than 20 manufacturers’ brands
⚫ Device protocols: 30 types (Modbus TCP, EA firefighting, MQTT, M-Bus, Ezviz FLV,
Alicloud FLV, elephant video, Restful-API etc)
IOT management scenarios:
1. Objects model management
Smardaten platform allows remote testing, remote monitoring and remote maintenance for equipment and devices based on self-defined objects modelling, thus providing efficient and convenient device management capabilities
2. Device life cycle management
Smardaten platform enabled device full life cycle management from registering, group setting, topology, labelling, model management to KPI monitoring, damage monitoring and device disabling
3. Device energy consumption management
Monitoring status for transformers, multi-functional electricity meters, feed cabinets etc. Providing data dashboards to display multi-level energy consumption analysis, deviation warning based on historical data, current energy flow distribution analytics and insights
4. Driver and vehicle movement monitoring
Vehicle parking management system, pedestrian turnstile, gate access control devices and systems’ fast integration. Enabling visitors pre-set appointment to enter parks, real time monitoring of visitor numbers, vehicle numbers etc
5. Device maintenance management
Enabled self-definition of device maintenance events process, device maintenance ticketing statistics, reporting and alerting, real time display of alerts
6. Park IOC operational centre
Constructed IOT operational centres serving group level and park level management, providing multi-dimensional analytical reporting and multi-themed interactive monitoring dashboards, to meet the requirement of various level management and decision making
A data-driven enterprise-class NoCode application construction platform, can provide well-rounded capabilities incorporating IOT devices integration, complex operational workflow construction with NoCode, multi-business system integration, with data analytics woven through every step across modules. The overall system was accomplished within merely 30 days with only 3 engineers. Smart Industrial Park management system is an evolving process, the digital foundation of smart parks should also be a scalable open platform. It’s foreseeable that data-driven enterprise-class NoCode will form a robust foundation of digitalisation for any smart industrial parks, covering IOT monitoring and management, production and logistics security, enterprise services and emergency monitoring systems.