Watch the network, balance the hydraulics, and adjust supply so rooms stay comfortable with less fuel
The solution watches the heat source, the network, the substation, and the household, then balances hydraulics, reads room temperature, and supplies heat on demand. Efficiency goes up, fuel use comes down, and rooms stay comfortable. District heating in northern China is short of heat source capacity, the pipe network is out of balance, and complaints keep coming in. Running “high flow, small temperature difference” burns more coal and electricity than the buildings need.
It is built on IoT connectivity and heating models used by operators. Temperature, pressure, and flow sensors sit on the heat source, the primary network, the substation, the secondary network, and the user end, so the running state is visible end to end. Smart valves trim the network until nearby apartments are no longer too hot and distant ones no longer too cold — heat follows demand. NB-IoT room thermometers report what the household actually feels, and that feedback retunes the source and the substation. Fault alerts, inspection rounds, and dispatch for emergency repairs shorten the maintenance cycle. It fits urban district heating, area boiler plants, and combined heat and power, so operators use less fuel, hear fewer complaints, and run the network in finer steps.
Hydraulic imbalance is common on district-heating networks in northern China. Apartments near the substation overheat; apartments at the end of the line stay cold. Operators answer that by pushing high flow and a small temperature difference, so coal and power stay high. Without a room-temperature reading, the adjustment is still a guess.
Balance valves, room feedback, and heat on demand even out the network and cut complaints. Operators typically report about 10%–15% less energy, which is a real fuel bill across one heating season. One prefecture-level heating company saw complaints fall by about 50% after go-live, once source and substation setpoints followed the room data. Payback is usually two to three heating seasons.

From the boiler house to the radiator
Temperature, pressure, and flow on the heat source, primary network, substation, and secondary network, shown live with history curves, alarms, and trend review.
Smart valves even out hot and cold apartments. Supply and return temperatures follow outdoor weather and room feedback, including schedules by time of day and by zone.
NB-IoT thermometers read the room the household actually lives in. Heat follows that reading, and the same data retunes the source and the substation.
Fault warnings, inspection rounds, and emergency-repair dispatch. The customer-service desk sees the same ticket through to close.
Combined heat and power, and area boiler plants
Watch and trim each heat-exchange station
Campus steam and process heat
Field sensors into SCADA, the call center, and billing
Temperature, pressure, and flow sensors come in over 4G or a wired link. Room thermometers use NB-IoT for low power and indoor coverage. Smart valves speak Modbus and Profibus. The platform ties into SCADA, the customer-service desk, and billing, and can dispatch several heat sources and networks from one schedule.
What operators measure after a heating season on the new setpoints
Tell us how many substations and households you serve, and we will map sensors, valves, and the control model to that network