!REDIRECT “https://docs.px4.io/master/zh/dev_log/logging.html“
日志记录
日志能够记录任何 orb 主题及其包含的所有字段。 Everything necessary is generated from the .msg
file, so that only the topic name needs to be specified. An optional interval parameter specifies the maximum logging rate of a certain topic. 所有主题的实例将会被记录。
输出的日志格式是 Ulog。
用法
By default, logging is automatically started when arming, and stopped when disarming. 每次解锁后的飞行对话将会在 SD 卡上生成一个新的日志文件。 To display the current state, use logger status
on the console. If you want to start logging immediately, use logger on
. This overrides the arming state, as if the system was armed. log off
取消日志记录。
使用
logger help
列举所有支持的日志命令和参数。
配置
日志主题列表可以以 SD 卡文件的形式定制。 Create a file etc/logging/logger_topics.txt
on the card with a list of topics (For SITL, it’s build/px4_sitl_default/tmp/rootfs/fs/microsd/etc/logging/logger_topics.txt
):
<topic_name> <interval> <instance>
The <interval>
is optional, and if specified, defines the minimum interval in ms between two logged messages of this topic. If not specified, the topic is logged at full rate.
The <instance>
is optional, and if specified, defines the instance to log. If not specified, all instances of the topic are logged. To specify <instance>
, <interval>
must be specified. It can be set to 0 to log at full rate
The topics in this file replace all of the default logged topics.
Example :
sensor_accel 0 0
sensor_accel 100 1
sensor_gyro 200
sensor_mag 200 1
This configuration will log sensor_accel 0 at full rate, sensor_accel 1 at 10Hz, all sensor_gyro instances at 5Hz and sensor_mag 1 at 5Hz.
脚本
There are several scripts to analyze and convert logging files in the pyulog repository.
丢帧
Logging dropouts are undesired and there are a few factors that influence the amount of dropouts:
- 我们测试的大多数 sd 卡每分钟都会有多个停顿。 This shows itself as a several 100 ms delay during a write command. It causes a dropout if the write buffer fills up during this time. This effect depends on the SD card (see below).
- 格式化 SD 卡有助于避免丢帧。
- 增大日志缓存也有效。
- Decrease the logging rate of selected topics or remove unneeded topics from being logged (
info.py <file>
is useful for this).
SD 卡
The following provides performance results for different SD cards. Tests were done on a Pixracer; the results are applicable to Pixhawk as well.
提示:Nuttx 支持的最大 SD 卡大小为 32GB(SD卡 2.0 存储规范)
SD 卡 | 平均 Seq 写入速度 [KB/s] | 最大写入时间 / 块(平均) [ms] |
---|---|---|
SanDisk Extreme U3 32GB | 461 | 15 |
Sandisk Ultra Class 10 8GB | 348 | 40 |
Sandisk Class 4 8GB | 212 | 60 |
SanDisk Class 10 32 GB (High Endurance Video Monitoring Card) | 331 | 220 |
Lexar U1 (Class 10), 16GB High-Performance | 209 | 150 |
Sandisk Ultra PLUS Class 10 16GB | 196 | 500 |
Sandisk Pixtor Class 10 16GB | 334 | 250 |
Sandisk Extreme PLUS Class 10 32GB | 332 | 150 |
More important than the mean write speed is the maximum write time per block (of 4 KB). This defines the minimum buffer size: the larger this maximum, the larger the log buffer needs to be to avoid dropouts. Logging bandwidth with the default topics is around 50 KB/s, which all of the SD cards satisfy.
By far the best card we know so far is the SanDisk Extreme U3 32GB. This card is recommended, because it does not exhibit write time spikes (and thus virtually no dropouts). Different card sizes might work equally well, but the performance is usually different.
You can test your own SD card with sd_bench -r 50
, and report the results to https://github.com/PX4/PX4-Autopilot/issues/4634.
日志流
The traditional and still fully supported way to do logging is using an SD card on the FMU. However there is an alternative, log streaming, which sends the same logging data via MAVLink. This method can be used for example in cases where the FMU does not have an SD card slot (e.g. Intel® Aero Ready to Fly Drone) or simply to avoid having to deal with SD cards. Both methods can be used independently and at the same time.
The requirement is that the link provides at least ~50KB/s, so for example a WiFi link. And only one client can request log streaming at the same time. The connection does not need to be reliable, the protocol is designed to handle drops.
There are different clients that support ulog streaming:
mavlink_ulog_streaming.py
script in PX4-Autopilot/Tools.- QGroundControl
- MAVGCL
诊断
- If log streaming does not start, make sure the
logger
is running (see above), and inspect the console output while starting. - If it still does not work, make sure that MAVLink 2 is used. Enforce it by setting
MAV_PROTO_VER
to 2. Log streaming uses a maximum of 70% of the configured MAVLink rate (
-r
parameter). If more is needed, messages are dropped. The currently used percentage can be inspected withmavlink status
(1.8% is used in this example):instance #0:
GCS heartbeat: 160955 us ago
mavlink chan: #0
type: GENERIC LINK OR RADIO
flow control: OFF
rates:
tx: 95.781 kB/s
txerr: 0.000 kB/s
rx: 0.021 kB/s
rate mult: 1.000
ULog rate: 1.8% of max 70.0%
accepting commands: YES
MAVLink version: 2
transport protocol: UDP (14556) Also make sure
txerr
stays at 0. If this goes up, either the NuttX sending buffer is too small, the physical link is saturated or the hardware is too slow to handle the data.