How to calculate the daily revenue per meter of Ethereum
Publish: 2021-05-11 13:18:34
1. Firstly, the cost of bitcoin mining can be divided into three parts:
1. Machine cost: the cost of purchasing mining machine
2. Power cost: the power cost consumed by machine mining
3. Auxiliary costs: personnel maintenance, network, cable consumables, heat dissipation, etc.
for a simple example, take the mining machine of ant S9, which consumes less power on the market, for example, the calculation power is 13.5T, and the power consumption is 1400W
when the mining machine runs for 24 hours: 1.4kw * 24 = 33.6 degrees
Shenma m3, which consumes more power on the market, has a calculation power of 11.5t, The power consumption is 2150w
under 24-hour operation, the power consumption of a single machine is 2.15kw * 24 = 51.6oc
which is roughly equivalent to the power consumption of energy-saving air conditioning, but the bitcoin miner needs 24-hour uninterrupted operation, the power consumption of a single machine is very large after a year's calculation, and the step price cost of household electricity is too high, When the market is not good, the income may not be enough for the electricity expenditure, so at present, mining will choose to be hosted in the mine, which can get cheap electricity and rece the cost price of mining. The price below 30% is the ideal price, which can keep the price of bitcoin falling to a low level, and there is still some income< According to the current mining difficulty of bitcoin:
BTC revenue per ton: 1th / s * 24h = 0.00007087btc
calculated by the comprehensive 12t machine computing power, the daily output is:
0.00007087t * 12t = 0.00085044btc
then the time required for a single machine to dig a BTC:
1 / 0.00085044 = 1175 days
the time required for ten mining machines to dig a BTC:
1 / 0.0085044 = 117 days
100 days In other words, according to the current difficulty, it takes about three years for a single miner to proce a bitcoin, 3.9 months for ten miners to dig a bitcoin, and 11.7 days for a hundred miners to dig a bitcoin. The cost of a single miner is about 8500, Ten are around 85000, one hundred is 850000, less than one million, and one month's income is more than two bitcoins. According to the current price of bitcoin, the price is about 120000. So, although the income of bitcoin mining is not as good as before, it is still considerable compared with other investment projects
however, these benefits do not include decting the cost of electricity charges and later maintenance of machines, so the premise of mining is to find a mine with low electricity charges. If the quantity is large, we need to find a safe, reliable and stable mine. What's more, we need cheap electricity to lower the cost price.
1. Machine cost: the cost of purchasing mining machine
2. Power cost: the power cost consumed by machine mining
3. Auxiliary costs: personnel maintenance, network, cable consumables, heat dissipation, etc.
for a simple example, take the mining machine of ant S9, which consumes less power on the market, for example, the calculation power is 13.5T, and the power consumption is 1400W
when the mining machine runs for 24 hours: 1.4kw * 24 = 33.6 degrees
Shenma m3, which consumes more power on the market, has a calculation power of 11.5t, The power consumption is 2150w
under 24-hour operation, the power consumption of a single machine is 2.15kw * 24 = 51.6oc
which is roughly equivalent to the power consumption of energy-saving air conditioning, but the bitcoin miner needs 24-hour uninterrupted operation, the power consumption of a single machine is very large after a year's calculation, and the step price cost of household electricity is too high, When the market is not good, the income may not be enough for the electricity expenditure, so at present, mining will choose to be hosted in the mine, which can get cheap electricity and rece the cost price of mining. The price below 30% is the ideal price, which can keep the price of bitcoin falling to a low level, and there is still some income< According to the current mining difficulty of bitcoin:
BTC revenue per ton: 1th / s * 24h = 0.00007087btc
calculated by the comprehensive 12t machine computing power, the daily output is:
0.00007087t * 12t = 0.00085044btc
then the time required for a single machine to dig a BTC:
1 / 0.00085044 = 1175 days
the time required for ten mining machines to dig a BTC:
1 / 0.0085044 = 117 days
100 days In other words, according to the current difficulty, it takes about three years for a single miner to proce a bitcoin, 3.9 months for ten miners to dig a bitcoin, and 11.7 days for a hundred miners to dig a bitcoin. The cost of a single miner is about 8500, Ten are around 85000, one hundred is 850000, less than one million, and one month's income is more than two bitcoins. According to the current price of bitcoin, the price is about 120000. So, although the income of bitcoin mining is not as good as before, it is still considerable compared with other investment projects
however, these benefits do not include decting the cost of electricity charges and later maintenance of machines, so the premise of mining is to find a mine with low electricity charges. If the quantity is large, we need to find a safe, reliable and stable mine. What's more, we need cheap electricity to lower the cost price.
2. No, the benefits are different every day
3. Caution is recommended
bitcoin is a virtual currency
the risk is too high
it's easy to ruin your family.
bitcoin is a virtual currency
the risk is too high
it's easy to ruin your family.
4. Matlab, SPSS, Stata, SAS, Eviews, Excel, python, R these tools
matlab
matlab is the abbreviation of matrix laboratory, which is a commercial mathematical software proced by the MathWorks company in the United States. Matlab is not only a software that can be used to do statistical analysis, it can also efficiently deal with many other mathematical problems. It is often used in various mathematical modeling and engineering design. Compared with its powerful statistical analysis function, it can be said that it is overqualified. It has abundant library functions (toolbox); Embedded drawing function can realize multi-dimensional display of data; At the same time, it has good interaction design, active community and rich documents... All of these make it extremely easy to use, and we can also use the interpretive execution language to program it
SPSS
SPSS is the abbreviation of statistical proct and service solutions, which is the general name of a software proct and related services launched by IBM for a series of tasks such as analysis and calculation, data mining, prediction analysis and decision support [5]. SPSS can be used in economic analysis, market research, natural science and other fields. Its biggest feature is "easy to use". Although it does not fully support the frontier theory, it includes most of the commonly used statistical methods. The simple operation mode, friendly operation interface and powerful functions make it attract a large number of users in the field of domestic statistical analysis
Stata
Stata is a statistical program developed by statacorp in 1985 [6]. Like SPSS, it also supports common analytical methods and can be used in many fields, but in practice, it is widely used in medical and biological research. Stata uses a combination of menu and programming, which is not as easy to use as SPSS, but slightly better in function. It is widely used in enterprises and academic institutions
SAS
SAS was born in North Carolina State University. It was originally a project for analyzing agricultural research. With the growth of demand, its application scope extends to pharmaceutical enterprises, banking instry, academic and government agencies. The main analysis functions of SAS system include statistical analysis, econometric analysis, time series analysis, decision analysis, financial analysis and total quality management tools. SAS is extremely powerful, algorithm package is very perfect, but it is pure programming interface, easy to use and difficult to get started, suitable for senior data analysts or professionals. In the field of statistical analysis, SAS was once the abbreviation of "statistical analysis system", known as the international standard software and the most authoritative excellent statistical software package
Eviews
Eviews is the abbreviation of economics views, developed by quantitative microsoftware (QMS), and is a statistical analysis software designed based on windows [8]. Eviews can be used in conventional statistical analysis, but it is especially effective in econometric analysis. It is easy to use, and compared with other analysis software, the entry level is low. For econometrics related analysis, we can first consider the software
excel
excel is a spreadsheet system written by Microsoft for Windows operating system, which can draw various charts, do variance analysis, regression analysis and other basic analysis. Although its professionalism is not high, it can be competent for simple statistical analysis in daily work. At the same time, its extremely convenient operation mode and the identity of one of the members of Microsoft office software package make it the most popular personal computer data processing software
Python
Python is an object-oriented interpretive programming language invented by Dutch Guido van Rossum in 1989, and its first version was released in 1991. Python is the language used in the implementation of various codes in this book. The reason why Python is listed as a tool of data analysis is that the open source code base of data analysis and data visualization is widely used. At the same time, although excel, SPSS and other tools have operable interfaces, they can not effectively combine Hadoop, hive and other components to effectively process massive data, which Python can do
R
R is a special language for statistical analysis and visualization; T is the proct of developing s language, which can be regarded as another way to realize s language. Like python, r also provides extremely rich library functions for statistics and presentation. Because R is too powerful and has a large number of users, in order to adapt to the habits of users and rece the cost of learning, many library functions of Python in data processing imitate the implementation of R, in order to maintain the basically consistent use mode.
matlab
matlab is the abbreviation of matrix laboratory, which is a commercial mathematical software proced by the MathWorks company in the United States. Matlab is not only a software that can be used to do statistical analysis, it can also efficiently deal with many other mathematical problems. It is often used in various mathematical modeling and engineering design. Compared with its powerful statistical analysis function, it can be said that it is overqualified. It has abundant library functions (toolbox); Embedded drawing function can realize multi-dimensional display of data; At the same time, it has good interaction design, active community and rich documents... All of these make it extremely easy to use, and we can also use the interpretive execution language to program it
SPSS
SPSS is the abbreviation of statistical proct and service solutions, which is the general name of a software proct and related services launched by IBM for a series of tasks such as analysis and calculation, data mining, prediction analysis and decision support [5]. SPSS can be used in economic analysis, market research, natural science and other fields. Its biggest feature is "easy to use". Although it does not fully support the frontier theory, it includes most of the commonly used statistical methods. The simple operation mode, friendly operation interface and powerful functions make it attract a large number of users in the field of domestic statistical analysis
Stata
Stata is a statistical program developed by statacorp in 1985 [6]. Like SPSS, it also supports common analytical methods and can be used in many fields, but in practice, it is widely used in medical and biological research. Stata uses a combination of menu and programming, which is not as easy to use as SPSS, but slightly better in function. It is widely used in enterprises and academic institutions
SAS
SAS was born in North Carolina State University. It was originally a project for analyzing agricultural research. With the growth of demand, its application scope extends to pharmaceutical enterprises, banking instry, academic and government agencies. The main analysis functions of SAS system include statistical analysis, econometric analysis, time series analysis, decision analysis, financial analysis and total quality management tools. SAS is extremely powerful, algorithm package is very perfect, but it is pure programming interface, easy to use and difficult to get started, suitable for senior data analysts or professionals. In the field of statistical analysis, SAS was once the abbreviation of "statistical analysis system", known as the international standard software and the most authoritative excellent statistical software package
Eviews
Eviews is the abbreviation of economics views, developed by quantitative microsoftware (QMS), and is a statistical analysis software designed based on windows [8]. Eviews can be used in conventional statistical analysis, but it is especially effective in econometric analysis. It is easy to use, and compared with other analysis software, the entry level is low. For econometrics related analysis, we can first consider the software
excel
excel is a spreadsheet system written by Microsoft for Windows operating system, which can draw various charts, do variance analysis, regression analysis and other basic analysis. Although its professionalism is not high, it can be competent for simple statistical analysis in daily work. At the same time, its extremely convenient operation mode and the identity of one of the members of Microsoft office software package make it the most popular personal computer data processing software
Python
Python is an object-oriented interpretive programming language invented by Dutch Guido van Rossum in 1989, and its first version was released in 1991. Python is the language used in the implementation of various codes in this book. The reason why Python is listed as a tool of data analysis is that the open source code base of data analysis and data visualization is widely used. At the same time, although excel, SPSS and other tools have operable interfaces, they can not effectively combine Hadoop, hive and other components to effectively process massive data, which Python can do
R
R is a special language for statistical analysis and visualization; T is the proct of developing s language, which can be regarded as another way to realize s language. Like python, r also provides extremely rich library functions for statistics and presentation. Because R is too powerful and has a large number of users, in order to adapt to the habits of users and rece the cost of learning, many library functions of Python in data processing imitate the implementation of R, in order to maintain the basically consistent use mode.
5. Xiaomachang Chaoyang social security center
option 1: [transfer once]
first take 673 (Beijing West Railway Station shigezhuang Village) to get on at xiaomachang station and get off at Tuanjiehu station; Finally, transfer to 675 (Zuojiazhuang TongZhou Lizhuang) and get on at Tuanjiehu station and get off at Shifoying Dongli station; The whole journey is about 18.6 km
option 2: [transfer once]
first take 9 (Beijing west station Jintai Road) to get on at xiaomachang station and get off at Jintai Road station; Finally, transfer to 640 (Beijing station east Shunyi Banbidian) and get on at Jintai intersection east station and get off at Shifoying Dongli station; The whole journey is about 18.6 km
option 3: [transfer once]
first take 301 (xiaoyueyuan community Qianmen) to get on at xiaomachang station and get off at Qianmen station; Finally, transfer to 729 (chengheyuan community Dongba building materials City) and get on at Qianmen station and get off at Xikou station of yaojiayuan; The whole journey is about 18.8 km
option 4: [transfer once]
first take 823 (Beijing West Railway Station dongmenwai) to get on at xiaomachang station and get off at worker's Stadium station; Finally, transfer to 431 (Dongsishitiao East - Shandian) and get on at worker's Gymnasium station, and get off at Dougezhuang intersection east station; The whole journey is about 19.3 km
option 5: [transfer twice]
first take 301 (xiaoyueyuan community Qianmen) to get on at xiaomachang station and get off at Hepingmen east station; Transfer to 673 (Beijing west station shigezhuang Village) and get on at Hepingmen east station and get off at Dougezhuang west station; Finally, transfer to 440 (East Bridge Shifoying Xili East Station) and get on at the west station of Dougezhuang intersection and get off at the South Station of Dougezhuang intersection; The whole journey is about 18.2 km
option 6: [transfer twice]
first take 661 (West of taiziyu cemetery Changchun Street intersection) to get on at xiaomachang station and get off at Tianning Siqiao west station; Transfer to 673 (Beijing west station shigezhuang Village), get on at Tianning Siqiao west station, and get off at Dougezhuang intersection west station; Finally, transfer to 440 (East Bridge Shifoying Xili East Station) and get on at the west station of Dougezhuang intersection and get off at the South Station of Dougezhuang intersection; The whole journey is about 18.2 km<
Chaoyang social security center --- Chaoyang employment agency
scheme 1: [transfer once]
take 675 (Lizhuang Zuojiazhuang in Tongzhou) to get on at the South Station of Dougezhuang intersection and get off at the South Station of yanshaqiao; Finally, transfer to 421 (dabeiyaobei Donghu) and get on at yanshaqiao south station and get off at sanyuanan station; The whole journey is about 6.9 km
option 2: [transfer once]
first take 350 (caogezhuang East Bridge) to get on at the west station of Dougezhuang intersection and get off at Chaoyang Park station; Finally, transfer to 682 (liangmachang Beiyuan station), get on at Chaoyang Park Station and get off at Laitai flower station; The whole journey is about 6.3 km
option 3: [transfer once]
first take 431 (Shandian dongsishiqiao East) and get on at the west station of Dougezhuang intersection and get off at Chaoyang Park station; Finally, transfer to 682 (liangmachang Beiyuan station), get on at Chaoyang Park Station and get off at Laitai flower station; The whole journey is about 6.4 km
option 4: [transfer once]
first take 672 (tulip garden south gate Yansha bridge south) and get on at the west station of Dougezhuang intersection and get off at Liangmaqiao station; Finally, transfer to 421 (dabeiyaobei Donghu) and get on at yanshaqiao south station and get off at sanyuanan station; The whole journey is about 6.8 km
option 5: [transfer once]
first take 406 (single shop huizhongli) and get on at the west station of Dougezhuang intersection, then get off at Chaoyang Park station; Finally, transfer to 682 (liangmachang Beiyuan station), get on at Chaoyang Park Station and get off at Laitai flower station; The whole journey is about 6.4 km
option 6: [transfer once]
first take 673 (shigezhuang Village Beijing West Station) and get on at the west station of Dougezhuang intersection, then get off at Chaoyang Park station; Finally, transfer to 682 (liangmachang Beiyuan station), get on at Chaoyang Park Station and get off at Laitai flower station; It's about 6.5km.
option 1: [transfer once]
first take 673 (Beijing West Railway Station shigezhuang Village) to get on at xiaomachang station and get off at Tuanjiehu station; Finally, transfer to 675 (Zuojiazhuang TongZhou Lizhuang) and get on at Tuanjiehu station and get off at Shifoying Dongli station; The whole journey is about 18.6 km
option 2: [transfer once]
first take 9 (Beijing west station Jintai Road) to get on at xiaomachang station and get off at Jintai Road station; Finally, transfer to 640 (Beijing station east Shunyi Banbidian) and get on at Jintai intersection east station and get off at Shifoying Dongli station; The whole journey is about 18.6 km
option 3: [transfer once]
first take 301 (xiaoyueyuan community Qianmen) to get on at xiaomachang station and get off at Qianmen station; Finally, transfer to 729 (chengheyuan community Dongba building materials City) and get on at Qianmen station and get off at Xikou station of yaojiayuan; The whole journey is about 18.8 km
option 4: [transfer once]
first take 823 (Beijing West Railway Station dongmenwai) to get on at xiaomachang station and get off at worker's Stadium station; Finally, transfer to 431 (Dongsishitiao East - Shandian) and get on at worker's Gymnasium station, and get off at Dougezhuang intersection east station; The whole journey is about 19.3 km
option 5: [transfer twice]
first take 301 (xiaoyueyuan community Qianmen) to get on at xiaomachang station and get off at Hepingmen east station; Transfer to 673 (Beijing west station shigezhuang Village) and get on at Hepingmen east station and get off at Dougezhuang west station; Finally, transfer to 440 (East Bridge Shifoying Xili East Station) and get on at the west station of Dougezhuang intersection and get off at the South Station of Dougezhuang intersection; The whole journey is about 18.2 km
option 6: [transfer twice]
first take 661 (West of taiziyu cemetery Changchun Street intersection) to get on at xiaomachang station and get off at Tianning Siqiao west station; Transfer to 673 (Beijing west station shigezhuang Village), get on at Tianning Siqiao west station, and get off at Dougezhuang intersection west station; Finally, transfer to 440 (East Bridge Shifoying Xili East Station) and get on at the west station of Dougezhuang intersection and get off at the South Station of Dougezhuang intersection; The whole journey is about 18.2 km<
Chaoyang social security center --- Chaoyang employment agency
scheme 1: [transfer once]
take 675 (Lizhuang Zuojiazhuang in Tongzhou) to get on at the South Station of Dougezhuang intersection and get off at the South Station of yanshaqiao; Finally, transfer to 421 (dabeiyaobei Donghu) and get on at yanshaqiao south station and get off at sanyuanan station; The whole journey is about 6.9 km
option 2: [transfer once]
first take 350 (caogezhuang East Bridge) to get on at the west station of Dougezhuang intersection and get off at Chaoyang Park station; Finally, transfer to 682 (liangmachang Beiyuan station), get on at Chaoyang Park Station and get off at Laitai flower station; The whole journey is about 6.3 km
option 3: [transfer once]
first take 431 (Shandian dongsishiqiao East) and get on at the west station of Dougezhuang intersection and get off at Chaoyang Park station; Finally, transfer to 682 (liangmachang Beiyuan station), get on at Chaoyang Park Station and get off at Laitai flower station; The whole journey is about 6.4 km
option 4: [transfer once]
first take 672 (tulip garden south gate Yansha bridge south) and get on at the west station of Dougezhuang intersection and get off at Liangmaqiao station; Finally, transfer to 421 (dabeiyaobei Donghu) and get on at yanshaqiao south station and get off at sanyuanan station; The whole journey is about 6.8 km
option 5: [transfer once]
first take 406 (single shop huizhongli) and get on at the west station of Dougezhuang intersection, then get off at Chaoyang Park station; Finally, transfer to 682 (liangmachang Beiyuan station), get on at Chaoyang Park Station and get off at Laitai flower station; The whole journey is about 6.4 km
option 6: [transfer once]
first take 673 (shigezhuang Village Beijing West Station) and get on at the west station of Dougezhuang intersection, then get off at Chaoyang Park station; Finally, transfer to 682 (liangmachang Beiyuan station), get on at Chaoyang Park Station and get off at Laitai flower station; It's about 6.5km.
6. Yangpu and Putuo are both urban areas. At present, they are good locations
Yangpu's Wujiaochang is known as little Xu Jiahui
there are more metro and light rail in Putuo District. Surrounded by Xuhui, Changning and Jing'an, there are lines 2, 3 and 4, as well as line 11 under construction.
Yangpu's Wujiaochang is known as little Xu Jiahui
there are more metro and light rail in Putuo District. Surrounded by Xuhui, Changning and Jing'an, there are lines 2, 3 and 4, as well as line 11 under construction.
7. It's urban, not central, but in the future, Wujiaochang may become a municipal sub center.
8. Let's just start our country with nonsense
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