Space age likes it more necessary that planets react automatically. Since we can use the radar station to distribute signals planet-wide, the task of setting up one central control unit per planet should be solvable.
The calculated signals are then forwarded to local production using relay stations
The following tasks are undertaken
- Classification of the demand for items (demand-driven production)
- Calculation of control signals that can be used for the individual production units.
- Calculating the percentage fulfillment of the capacity and visually displaying the degree of fulfillment as well as backlogs in production.
- Automatic addition of further Robos depending on the placed Roboports (Highest quality with >=50 available)
- Calculates how many train wagons are necessary to fulfill 100%
- Encodes a signal which trains should pick up new resources (the relay station decode the signal again)
- Based on the fill levels of the oil products, a recommendation is issued to switch on production units (such as conversions or fuel conversions)
- All producible items on the red and green line above the radar station
- The “Z” signal for the encrypted train request
- The “Info” signal to indicate the integrity of the signal lines
- Capacities must be reported that must be fulfilled. This is done via the green signal line. Ideally, this is built into the blueprints of the production units. I recommend reporting 75% of the actual capacity of storage chests and tanks here
- Tank fill levels must be reported at the “uncommon” quality level via the green line. Capacities normal via quality level normal
- Works for Logistiv driven Production
- CPC.png (3.46 MiB) Viewed 640 times
The signals are then passed on or decoded to the production units on site.
- Relay_Station_3.png (508.86 KiB) Viewed 498 times
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
- 1.01 / 16.11.2024 / Error source eliminated when dividing by 0 in the control signals.
- 1.02 / 17.11.2024 / Relay station with direct fluid input and manual setting
- 1.03 / 17.11.2024 / Error source eliminated when dividing gives <1%.
- 1.04 / 17.11.2024 / Oil improvments