DHMSCare has a dedicated solution for each of 16 industries.
They range from chemicals, power generation and mining to food & beverage and automotive.
Each page spells out the machines, measuring points and starting sensor count.

Food & beverageHomogenizer, Centrifuge, Filling machine
Automotive & componentsInjection molding machine, Drive motor, Industrial motor
PharmaceuticalCentrifuge, Circulation / feed pump, Chiller
Concrete & cementRotary kiln, Cement mill, Vertical pump
Leather & rubberScrew air compressor, Three-phase induction motor, Gearbox
MiningHoist, Air compressor, Belt conveyor
Power generationBlower / fan, Pump, Air compressor
Non-ferrous metalsFlotation cell, Ball mill, Vibrating screen
Livestock farmingVentilation fan, Feed conveyor drive, Pump
PhotovoltaicExhaust / process fan, Cooling-water / vacuum pump, Air compressor
ChemicalsCirculation pump, Compressor, Fan
SteelRolling-mill main drive (rough, finish and vertical-roll mills), Flying shear and coiler, Fan, including dust-removal fans
Medical ConsumablesFurnace blower, Air compressor, Circulation pump
Optical Fiber & CableFiber draw tower, Sheathing extruder, Pay-off / take-up drive
Optical Communications EquipmentAir compressor (SMT / assembly), Refrigerated air dryer, Clean-room AHU fanWorks on both rotating and reciprocating machines. For example:
DHMSCare serves process industries such as chemicals, power, metallurgy, mining, pharmaceuticals, building materials and papermaking, plus continuous-production manufacturing including food & beverage, grain & oil, dairy, automotive, semiconductor and 3C electronics.
DHMSCare starts from 10 sensors on a single production line, so a small plant gets predictive maintenance (spotting faults before they stop the machine) without a plant-wide retrofit, and DHMSCare’s on-site implementation team does the installation.
DHMSCare is priced per plant by equipment and installation-point count, and you do not need to buy a local server.
Data stays on nodes inside the Chinese mainland and does not leave the country; central and state-owned enterprise projects can run on-premises in the customer’s own server room.
In real plants, 90%+ of our anomaly alerts are accurate, and AI fault diagnosis stays at 85%+. That is enough to move teams from fixing breakdowns to preventing them.
Compare five points: does it diagnose down to the component or only flag an anomaly; are the specifications public; does deployment need a production stop; how few machines can you start with; and does the data stay in your hands or only in the cloud. DHMSCare on those five: component-level diagnosis with a recommended action; key specifications public for every model; stick-on sensors, no production stop; start with one production line; on-premises deployment available.
Tell us the line and its critical assets; we size the sensors and the plan with you.