Industrial-grade AIoT operations
Industrial-grade AIoT operations products and data services
Built on industrial gateways, expansion modules and an AIoT platform, Tongwei works along two lines — standard product complement and packaged solutions — so equipment makers, integrators and site operators can make scattered equipment, environments and energy sites connectable, diagnosable and maintainable.
The problem
Tongwei does not simply sell sensors, gateways or dashboards. We connect scattered field assets, their data and the operations process around them.
Equipment is deployed across regions and customers, so running status and fault information cannot be seen in one place.
Controllers, meters and sensors span many brands and protocols, so onboarding work is repeated at high cost.
Relying on customer reports or manual rounds means faults surface slowly, with little evidence for remote judgement.
Alarms, dispatch, handling, feedback and reporting are fragmented, so ownership and service outcomes cannot be reviewed.
The result: more site visits, higher service cost, larger fault losses, and operating data that never accumulates into a data asset.
Two business lines
Two lines, one foundation. The standard part ships as product complement; the scene-specific part ships as a packaged solution.
Product Complement
Without replacing your core equipment or system, we complement it with proven gateways, modules and interfaces for connectivity, acquisition, alarms and remote access.
Scene Solutions
Start from the scene: select hardware, configure the platform, commission on site, and bring field assets into one ledger, alarm and operations loop.
Shared foundation
Because the foundation is shared, a validated configuration at one site or on one machine can be repeated rather than rebuilt.
Equipment, control cabinets, meters, sensors and energy systems.
SG / BEC gateways with SDS / IOC modules handle protocol onboarding and local control.
Protocol onboarding, point modelling, data validation and edge buffering.
AIoT operations platform, mobile apps, dashboards, alarms and work orders.
Trend analysis, anomaly detection, diagnostic suggestions, reporting and ongoing service.
How it runs
Monitoring alone leaves exceptions seen but unhandled. These six steps are what makes the difference between a dashboard and an operation.
Onboard devices and data into one system.
Uptime, state and trends made visible.
Tiered, de-duplicated, routed to a named owner.
Inspect data and fault codes remotely.
Remote coordination, dispatch and inspection.
Logged feedback, reporting and optimisation.
Products
Every product description states what it does in the loop, not just its specification.
Edge
Handle multi-protocol onboarding, protocol conversion, data aggregation, offline buffering, local interlocks and remote communication.
Sense
Turn field conditions into data and actions that can be captured, judged and acted upon.
Platform
Cover asset ledgers, data governance, alarms, work orders, inspection, permissions, reporting and mobile collaboration.
Ops
Get alarms to people, then dispatch, feedback, closure and review.
Where it runs
Scenarios are evidence that the foundation adapts, not separate business lines competing for position.
Takes equipment makers and shop floors from data collection to remote service, full lifecycle management and continuous operations.
Legacy machines, control cabinets, shop floors, asset tags and equipment makers' products.
Unified monitoring of temperature, humidity, leaks, smoke, access control, UPS and switchgear so risks are found and handled in time.
Telecom rooms, data centres, integrated cabinets, substations and plant rooms.
See the energy structure, spot anomalies, and close the loop between analysis and operations.
Parks, buildings, public facilities, enterprise sites and PV/storage/charging stations.
Environment, occupancy, consumables and facility status become visible, with traceable cleaning and exception handling.
Smart restrooms, sanitation, transport hubs, scenic areas and public venues.
Water quality, weather, soil, irrigation, aeration and feeding run with minimal staffing, and production data accumulates.
Greenhouses, growing bases, fish ponds and modern fishery parks.
Unified monitoring of scattered points, with every exception entering the operations record.
Hydrology and water quality, landscaping, manhole covers, grain warehouses and archive rooms.
Capability roadmap
L1 to L3 are what we promote today, along with selected verifiable L4 modules. We do not present predictive maintenance or autonomous operations as off-the-shelf features.
See the state of equipment, environment, energy and people.
Notify proactively on thresholds, loss of contact, state and trend.
Alarms reach people; dispatch, handling, feedback and statistics are traceable.
Suggest maintenance, efficiency and scheduling actions from historical data.
Execute and optimise automatically within explicit safety boundaries.
How we engage
Diagnosis, sample, single-site pilot, then copy. Samples are chargeable in principle.
Confirm equipment, protocols, sites, the pain, network and acceptance goals.
Limit the devices and functions, then prove onboarding, alarms and pages. Samples are chargeable in principle, with credit possible against volume orders.
Produce the configuration list, rules, work orders, reports and service boundary as a repeatable acceptance sample.
Lock templates, an implementation handbook, pricing and the ongoing-operations mechanism, then copy to more devices or sites.
Send one or two typical models, a point table or a metering-point list, and we will start with a feasibility assessment — not a proposal deck.
