Thermals vs. Lora Sniffer Utilizzo e statistiche

Phone running slowly, charging slowly or low brightness? See if your device is overheating using Thermals. Thermals displays your device’s thermal state, as well as how many processors are active on your device and its uptime, as reported by iOS. Thermals helps troubleshoot: • Poor performance — iOS reduces processor speed and potentially disables processors temporarily when the device is hot. • Slow charging — battery charging causes a lot of heat and iOS can limit charging speed to reduce the additional heat that might make a device too hot. • Low maximum brightness — if your device screen stays dark despite being on full brightness, it could be limited by iOS due to heat. • Manufacturing defects — if not all processors are active when the device is cool and not in low power mode. Your device's thermal state is monitored regularly in the background and recorded in the app (if Background App Refresh is enabled). Open the app or tap the widget to record a data point manually. Export the raw data to file for corroboration with Screen Time, Xcode's Instruments, or other development tools. Also an independent Apple Watch app shows the thermal status, active processors and uptime, and thermal history of your watch.

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Lora Sniffer

The LoRaSniffer App is the user-interface for the LoRaSniffer Device. The combination of both, the device and the app, is a tool for technicians and hobbyist allowing to use LoRa radio communications for testing and network maintenance. The LoRaSniffer Device is a LoRa radio module that can use all possible features the LoRa standard offers. This app is its convenient user-interface. It connects via BLE to the device to allow access to all its setup-parameters, receive communications from other LoRa nodes and send data via LoRa. Using 2 coupled LoRaSniffer devices, it can provide valuable information about network quality in a real-world scenario. The app provides a logging window with features for: formatting of received communications, additional time-stamp and the GPS location where each message was received. Each received message is tagged with "Quality of Signal" information as CRC, SNR, RSSI and carrier-frequency offset. The app allows as well to save the logged data as a visual document in HTML or as JSON protocol file. Messages can be sent as ASCII-text or as binary data. Tools allow to scan for channel activity, calculate transmission times for specific payloads or, if used with 2 devices, allow to gain real-time information to optimize LoRa networks in the field. More, the app can be used as well to update the firmware of the LoRaSniffer device.