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如何在Ubuntu Linux中安装CHIA矿机教程,如何P盘挖矿

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Chia矿机配置购买建议,什么样的电脑能挖CHIA

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从笔记本电脑ssh进入(在Mac上为开放式终端,在Windows中为powershell)

ssh user@hostname (or ip address)

  • 确保您的硬盘出现和格式目的地DRIVE

这是目标驱动器的最佳设置,可在极短的格式化时间内最大程度地提高存储容量效率

sudo fdisk -l
sudo mkfs.ext4 -m 0 -T largefile4 -L <drivename> /dev/sda
mkdir /mnt/hdd
mount /dev/sda /mnt/hdd
  • 如果使用SATA build或2x消费类NVMe,则将驱动器一起RAID 0
sudo mdadm -C /dev/md0 /dev/sd[a,b,c] -n 3 -l 0 -c 64
sudo mdadm -C /dev/md0 /dev/nvme[1-2]n1 -n 2 -l 0 -c 64
  • 格式临时驱动器
mkfs.xfs /dev/nvme0n1
or
mkfs.xfs /dev/md0
mkdir /mnt/ssd
mount -t xfs -o discard /dev/md0 /mnt/ssd
sudo apt-get update
sudo apt-get upgrade -y

# Checkout the source and install
git clone https://github.com/Chia-Network/chia-blockchain.git
cd chia-blockchain

sh install.sh

. ./activate
  • 编辑权限(这不是最佳安全做法,但这应该在您的家庭网络中,而不是在远程位置。在这种情况下,需要不同的安全性)
mkdir /home/user/chialogs
chmod 777 /mnt/hdd
chmod 777 /mnt/ssd
chmod 777 /home/user/chialogs 
sudo nano chia8.sh
  1. 粘贴以下内容,并编辑您的用户名,临时目录和目标目录名
 
#!/bin/bash
screen -d -m -S chia1 bash -c 'cd /home/user/chia-blockchain && . ./activate && sleep 0h && chia plots create -k 32 -b 4000 -e -r 4 -u 128 -n 16 -t /mnt/ssd/temp1 -2 /mnt/ssd -d /mnt/hdd |tee /home/user/chialogs/chia1_1_.log'
screen -d -m -S chia2 bash -c 'cd /home/user/chia-blockchain && . ./activate && sleep 1h && chia plots create -k 32 -b 4000 -e -r 4 -u 128 -n 16 -t /mnt/ssd/temp2 -2 /mnt/ssd -d /mnt/hdd |tee /home/user/chialogs/chia2_1_.log'
screen -d -m -S chia3 bash -c 'cd /home/user/chia-blockchain && . ./activate && sleep 2h && chia plots create -k 32 -b 4000 -e -r 4 -u 128 -n 16 -t /mnt/ssd/temp3 -2 /mnt/ssd -d /mnt/hdd |tee /home/user/chialogs/chia3_1_.log'
screen -d -m -S chia4 bash -c 'cd /home/user/chia-blockchain && . ./activate && sleep 3h && chia plots create -k 32 -b 4000 -e -r 4 -u 128 -n 16 -t /mnt/ssd/temp4 -2 /mnt/ssd -d /mnt/hdd |tee /home/user/chialogs/chia4_1_.log'
screen -d -m -S chia5 bash -c 'cd /home/user/chia-blockchain && . ./activate && sleep 4h && chia plots create -k 32 -b 4000 -e -r 4 -u 128 -n 16 -t /mnt/ssd/temp5 -2 /mnt/ssd -d /mnt/hdd |tee /home/user/chialogs/chia5_1_.log'
screen -d -m -S chia6 bash -c 'cd /home/user/chia-blockchain && . ./activate && sleep 5h && chia plots create -k 32 -b 4000 -e -r 4 -u 128 -n 16 -t /mnt/ssd/temp6 -2 /mnt/ssd -d /mnt/hdd |tee /home/user/chialogs/chia6_2_.log'
screen -d -m -S chia7 bash -c 'cd /home/user/chia-blockchain && . ./activate && sleep 6h && chia plots create -k 32 -b 4000 -e -r 4 -u 128 -n 16 -t /mnt/ssd/temp7 -2 /mnt/ssd -d /mnt/hdd |tee /home/user/chialogs/chia7_2_.log'
screen -d -m -S chia8 bash -c 'cd /home/user/chia-blockchain && . ./activate && sleep 7h && chia plots create -k 32 -b 4000 -e -r 4 -u 128 -n 16 -t /mnt/ssd/temp8 -2 /mnt/ssd -d /mnt/hdd |tee /home/user/chialogs/chia8_2_.log'

按Ctrl + O保存,然后按Ctrl + X退出

https://plot-plan.chia.foxypool.io/找到最佳配置以最大程度地利用容量。此版本围绕8 k = 32旋转,这对于绝大多数用户来说是很好的选择。如果要在目标驱动器上获得超过99%的容量利用率,则需要混合使用k = 33和k = 34(完全可选!)

在运行脚本之前进行检查!!!

确保您的权限正确

ls -lh /mnt

您应该在安装目录的旁边看到类似这样的输出,用于chia, drwxrwxrwx

激活后,运行chia键-h以查看可用命令。您可以从24字种子中导入密钥,也可以生成一个新密钥。或者,如果您在另一台计算机上具有密钥,则可以使用公共农夫和池密钥进行绘图而无需生成密钥,有关更多信息,请在Wiki中使用脚本中的-f和-p以及相应的密钥

https://github.com/Chia-Network/chia-blockchain/wiki/CLI-Commands-Reference

您的所有驱动器都已安装!!

df -h

我更喜欢duf,它是df的更好替代品,易于看到您的坐骑。如果您使用的是Ubuntu,则可以通过以下方式安装

sudo snap install duf-utility

或者

wget https://github.com/muesli/duf/releases/download/v0.6.2/duf_0.6.2_linux_386.deb

wget https://github.com/muesli/duf/releases/download/v0.6.2/duf_0.6.2_linux_386.deb
sudo dpkg -i duf_0.6.2_linux_386.deb

运行脚本!

sh chia8.sh

运行后,请确保没有权限错误,并且通过htop或类似方法监视进程,从而可以正确启动脚本。一切都在后台的屏幕中运行,因此,您可以很好地关闭笔记本电脑中的ssh,并且只要填充目标驱动器就可以让它运行。启动htop以确保您可以看到chia流程。

监控工具使用

sudo apt install nvme-cli dstat sysstat glances smartmontools lm-sensors

如果您在Ubuntu服务器上,则应该已经有htop,xfs和mdadm。如果您在Ubuntu桌面上,则也将需要这些。

sudo apt install htop xfsprogs mdadm

dstat,iostat,一目了然–使用此命令可以确保驱动器正在执行io。您可以监视IOPS,带宽和iowait之类的内容,以确保一切均以最佳状态运行

$ dstat
You did not select any stats, using -cdngy by default.
--total-cpu-usage-- -dsk/total- -net/total- ---paging-- ---system--
usr sys idl wai stl| read  writ| recv  send|  in   out | int   csw 
 46   3  45   6   0| 456M  493M|   0     0 | 774k  873k|  14k   22k
 61   4  27   8   0| 879M  135M| 382B  904B| 112k  424k|  19k   11k
 66   2  30   2   0| 214M  382M| 186B  366B|  24k  340k|  10k 3228 
 65   3  29   4   0| 483M  220M| 126B  366B|   0   804k|  13k 6226 
 57   5  31   7   0| 735M  534M| 234B  358B|  48k  524k|  20k   13k
 52   4  40   5   0| 608M  314M|  66B  366B|  44k   80k|  15k 7278 
 41   3  49   6   0| 720M  106M| 420B  408B| 104k 1068k|  15k 7554 
 44   2  49   5   0| 564M  123M| 126B  408B| 720k   44k|  12k 6401

htop –用于监视cpu和内存利用率

nvme或smartctl –用于监视SSD的温度(温度和警告温度时间)和续航时间(已用百分比)

$ sudo nvme smart-log /dev/nvme0n1
Smart Log for NVME device:nvme0n1 namespace-id:ffffffff
critical_warning                    : 0
temperature                         : 35 C
available_spare                     : 100%
available_spare_threshold           : 10%
percentage_used                     : 2%
data_units_read                     : 388030535
data_units_written                  : 439131137
host_read_commands                  : 4408452345
host_write_commands                 : 5349591480
controller_busy_time                : 3442
power_cycles                        : 46
power_on_hours                      : 2997
unsafe_shutdowns                    : 8
media_errors                        : 0
num_err_log_entries                 : 0
Warning Temperature Time            : 1
Critical Composite Temperature Time : 0
Thermal Management T1 Trans Count   : 0
Thermal Management T2 Trans Count   : 0
Thermal Management T1 Total Time    : 0
Thermal Management T2 Total Time    : 0

检查CPU温度

$ sensors
coretemp-isa-0000
Adapter: ISA adapter
Package id 0:  +51.0°C  (high = +80.0°C, crit = +100.0°C)
Core 0:        +44.0°C  (high = +80.0°C, crit = +100.0°C)
Core 1:        +47.0°C  (high = +80.0°C, crit = +100.0°C)
Core 2:        +47.0°C  (high = +80.0°C, crit = +100.0°C)
Core 3:        +48.0°C  (high = +80.0°C, crit = +100.0°C)
Core 4:        +51.0°C  (high = +80.0°C, crit = +100.0°C)
Core 5:        +46.0°C  (high = +80.0°C, crit = +100.0°C)
Core 6:        +48.0°C  (high = +80.0°C, crit = +100.0°C)
Core 7:        +48.0°C  (high = +80.0°C, crit = +100.0°C)

acpitz-acpi-0
Adapter: ACPI interface
temp1:        +27.8°C  (crit = +119.0°C)

和CPU频率

watch -n 1 "cat /proc/cpuinfo | grep MHz"

cpu MHz		: 4235.305
cpu MHz		: 4200.053
cpu MHz		: 4232.139
cpu MHz		: 4205.699
cpu MHz		: 4241.188
cpu MHz		: 4229.982
cpu MHz		: 4283.402
cpu MHz		: 4231.991
cpu MHz		: 4251.913
cpu MHz		: 4190.267
cpu MHz		: 4279.481
cpu MHz		: 4235.723
cpu MHz		: 4205.051
cpu MHz		: 4242.980
cpu MHz		: 4198.080
cpu MHz		: 4216.730

或者,您可以使用

sudo apt install cpufrequtils
cpufreq-info -f

它具有更多功能,但完全是可选的……内置工具可以正常工作

每天检查输出TiB / TB

Keybase上的@ericaltendorf已制作出plotman,这是一种用于自动进行绘图的工具。也可以在此构建中使用它来自动执行该过程(TBD在此处添加config.yaml说明)

有一个有用的工具称为“分析”,它可以分析日志文件的文件夹以获取总打印时间。

+-----+--------------+--------------+---------------+-------------+--------------+
| Key |   phase 1    |   phase 2    |    phase 3    |   phase 4   |  total time  |
+=====+==============+==============+===============+=============+==============+
| x   | μ=10.1K σ=1K | μ=5.9K σ=581 | μ=10.6K σ=475 | μ=1.2K σ=61 | μ=27.8K σ=2K |
+-----+--------------+--------------+---------------+-------------+--------------+

这是我用上面发布的确切脚本绘制新版本一天后的平均值。每台K = 32绘图以7.7小时并并行运行8台,该机器当前每天输出2.46TiB或2.7TB。每天2.5到3 TB,取决于临时存储和其他调整,总费用不到1000美元。

您还可以从我们收集的日志中手动检查输出

$ cat /home/jm/chialogs/chia* | grep "Total time"
Total time = 18689.540 seconds. CPU (123.430%) Mon Mar  8 06:08:05 2021
Total time = 27624.331 seconds. CPU (126.370%) Mon Mar  8 13:58:35 2021
Total time = 27743.498 seconds. CPU (126.000%) Mon Mar  8 21:51:03 2021
Total time = 27605.858 seconds. CPU (126.150%) Tue Mar  9 05:41:38 2021
Total time = 27689.233 seconds. CPU (126.380%) Tue Mar  9 13:34:00 2021
Total time = 21243.992 seconds. CPU (123.490%) Mon Mar  8 07:50:39 2021
Total time = 27220.745 seconds. CPU (126.750%) Mon Mar  8 15:34:14 2021
Total time = 27251.753 seconds. CPU (126.500%) Mon Mar  8 23:18:43 2021
Total time = 27373.984 seconds. CPU (126.940%) Tue Mar  9 07:05:37 2021
Total time = 27739.977 seconds. CPU (126.730%) Tue Mar  9 14:59:00 2021
Total time = 23799.221 seconds. CPU (124.650%) Mon Mar  8 09:33:15 2021
Total time = 27088.447 seconds. CPU (127.080%) Mon Mar  8 17:14:33 2021
Total time = 26933.108 seconds. CPU (127.320%) Tue Mar  9 00:53:46 2021
Total time = 27275.458 seconds. CPU (126.310%) Tue Mar  9 08:39:05 2021
Total time = 25178.969 seconds. CPU (126.760%) Mon Mar  8 10:56:15 2021
Total time = 27201.988 seconds. CPU (127.280%) Mon Mar  8 18:39:33 2021
Total time = 27285.382 seconds. CPU (127.110%) Tue Mar  9 02:24:36 2021
Total time = 27098.957 seconds. CPU (127.160%) Tue Mar  9 10:06:58 2021
Total time = 26477.352 seconds. CPU (126.060%) Mon Mar  8 12:17:53 2021
Total time = 27705.813 seconds. CPU (126.120%) Mon Mar  8 20:09:40 2021
Total time = 27422.683 seconds. CPU (126.490%) Tue Mar  9 03:56:30 2021
Total time = 27471.681 seconds. CPU (126.310%) Tue Mar  9 11:44:29 2021
Total time = 27536.192 seconds. CPU (126.140%) Mon Mar  8 13:35:32 2021
Total time = 27771.750 seconds. CPU (126.260%) Mon Mar  8 21:27:58 2021
Total time = 27976.810 seconds. CPU (125.700%) Tue Mar  9 05:24:13 2021
Total time = 27767.981 seconds. CPU (126.300%) Tue Mar  9 13:17:15 2021
Total time = 27885.292 seconds. CPU (126.780%) Mon Mar  8 14:41:21 2021
Total time = 27917.716 seconds. CPU (126.770%) Mon Mar  8 22:43:29 2021
Total time = 27771.121 seconds. CPU (126.760%) Tue Mar  9 06:44:06 2021
Total time = 28240.464 seconds. CPU (126.380%) Tue Mar  9 14:54:48 2021
Total time = 27710.351 seconds. CPU (126.990%) Mon Mar  8 14:38:26 2021
Total time = 27946.248 seconds. CPU (126.210%) Mon Mar  8 22:40:53 2021
Total time = 27876.926 seconds. CPU (126.880%) Tue Mar  9 06:43:04 2021
Total time = 28150.070 seconds. CPU (126.150%) Tue Mar  9 14:52:09 2021
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