Project Background
A new energy equipment company needed remote monitoring for distributed energy storage cabinets. On-site devices included BMS, meters, temperature control, and fire protection subsystems. Manual inspection could not detect cell temperature anomalies, communication interruption, or status fluctuation in time.
Applicable Scenarios
This case is suitable for New Energy projects that need to unify offline processes, device data, user operations, and management reports. If an enterprise already has partial systems, the project can start from high-frequency workflows or critical devices and then expand gradually.
Client Requirements
- Access data from BMS, meters, temperature control, and environmental sensors.
- Display voltage, current, temperature, SOC, SOH, and charge-discharge status.
- Classify alerts for over-temperature, over-voltage, under-voltage, and communication exceptions.
- Support historical curves, operation logs, exception analysis, and maintenance records.
Technical Solution
The project emphasized stable data access and safety alerts. BMS core data and cabinet environmental data were modeled together to support safety monitoring, maintenance, and historical review.
- Completed protocol adaptation, point mapping, data filtering, and exception tagging on the edge side.
- Built hierarchy among cabinets, clusters, battery packs, and collection points.
- Configured multi-level alert rules with confirmation, handling, and recovery records.
- Provided trend charts, exception distribution, equipment health status, and maintenance reports.
System Functions
- Device topology, real-time monitoring, historical curves, alert center, and operation logs.
- BMS parameters such as cell voltage, temperature, SOC, SOH, and balancing state.
- Alert levels, notification rules, handling records, and maintenance review.
- Reserved data interfaces for energy management platforms or enterprise data centers.
Data and Security Design
- Define permissions for administrators, business users, maintenance staff, and external collaborators.
- Keep operation logs for important business actions to support tracing, audit, and review.
- Use authentication, parameter validation, and clear error responses for external APIs.
- Support backup, export, and conditional query for important data to simplify long-term maintenance.
Implementation Process
The implementation confirmed device point tables, communication methods, and sampling frequency before on-site joint debugging. Key checks included thresholds, alert recovery, historical curves, and permission control.
Acceptance Focus
- Core workflows can run through creation, processing, query, and archive.
- Key data fields match the client's business definitions and report results can be reviewed.
- Mobile, backend, and API data remain consistent with clear exception messages.
- Deployment, account permissions, operation instructions, and maintenance methods are delivered clearly.
Delivery Results
- Energy storage cabinet data moved from local inspection to remote centralized monitoring.
- BMS exceptions, communication issues, and environmental risks can be recorded and handled.
- Maintenance teams can use historical curves to judge recurring or continuous problems.
- The platform provides data foundations for energy management and predictive maintenance.
Project Boundary
This is an anonymized industry case focused on project type, technical route, and delivery method. Real implementation should be evaluated against the client's existing systems, devices, workflows, permissions, and maintenance conditions.
Reusable Experience
Energy storage monitoring requires careful sampling frequency, alert thresholds, and safety responsibility boundaries. Critical parameters and high-risk alerts should be stabilized before energy scheduling or health evaluation is expanded.
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FAQ
Can BMS data be connected directly?
It depends on the BMS protocol, gateway capability, and data openness. Protocol adaptation and point mapping are usually required.
Can the platform replace on-site safety mechanisms?
No. The platform supports monitoring and analysis, while on-site protection must remain responsible for safety actions.
Can multi-site storage devices be managed?
Yes. Site, device, cluster, and battery pack hierarchy should be designed in the data model.
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