House conditions
Temperature, humidity and soil moisture by house, with a notice when a line is crossed.
Greenhouse conditions, irrigation and control history on one farm page.
Conditions, irrigation and control history sit together. A breach is visible, and whether a pump or valve ran is on record. Yield is compared afterwards, not promised by a model.
Temperature and humidity are known only on a visit
Whether irrigation ran depends on memory
A failed pump waits for the next walk-through
Yield cannot be compared with the conditions at the time
Keep the equipment you have, connect the data first, then split the views by role. The connection layer takes the most work, and it is where most of our effort goes.
PLCs, meters, access control, cameras and sensors already on site. Read what is readable, add a module where it is not, and leave the existing control system alone.
Modbus · OPC UA · MQTT · HTTP · GB28181 · SDK
Common protocols connect directly. The gateway handles protocol mapping, local buffering and backfill, so the data does not break.
Device registry, time-series data, alert rules, work orders, roles and audit in one back end that serves several scenarios.
Data is collected once and reused by every scenario added later, which is why the connection layer has to be done properly the first time.
Temperature, humidity and soil moisture by house, with a notice when a line is crossed.
Pump and valve on-off times are stored.
Offline or abnormal status is pushed, not found on the next walk.
Condition history stays so it can be read against the harvest.
Not a feature list: what actually happens in a day. These four steps are the common shape of such projects.
Greenhouse humidity leaves the range for that growth stage, and the system suggests a venting duration.
One tap sends it to the fans; the result comes back and only needs confirmation.
The season’s temperature and humidity curves are compared against yield.
Every stage has a checkable output. No six-month build followed by a single review.
Walk the site, list devices, available ports and current systems, and mark what reads directly versus what needs a module.
Rank the ideas by impact, feasibility and dependencies, then choose one that proves value without dragging in every department.
Gateways connect devices, data lands on the platform, and alert rules, roles and recipients are configured for a small internal group.
One team or one building uses it for real; rules and screens change with feedback until false and missed alarms settle.
Check every acceptance item, finish documentation and training, then decide which buildings, lines or sites come next.
The three items below come from projects of this kind and go into the acceptance sheet, instead of relying on a general impression.
A breach is visible without a visit
Irrigation on-off is recorded
Offline equipment does not wait for the next walk
Temperature and humidity are known only on a visit Whether irrigation ran depends on memory A failed pump waits for the next walk-through Yield cannot be compared with the conditions at the time
House conditions: Temperature, humidity and soil moisture by house, with a notice when a line is crossed. Irrigation record: Pump and valve on-off times are stored. Equipment alerts: Offline or abnormal status is pushed, not found on the next walk. Compare later: Condition history stays so it can be read against the harvest.
A breach is visible without a visit Irrigation on-off is recorded Offline equipment does not wait for the next walk
No. The platform reads through interfaces or gateways and the existing systems stay in use. Only modules nobody maintains are worth replacing.
Priced by scenarios and device connection points: a site survey produces the list, then a quote and schedule. Most projects have a first scenario live in four to eight weeks.
Leave one contact. We send how similar projects were handled plus a scenario list. If it is not worth doing, we say so.
Phones are answered 9:00-18:00 on weekdays, or scan the WeChat code.