KR102043297B1 - A Mining System and its Operational Method - Google Patents

Abstract

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a mining system and a method of operation thereof, and more particularly, based on information of a mining device equipped with an application specific integrated circuit (ASIC), mining ROI (Refunds) through optimization and stabilization of mining hash power. on a mining system to improve on investment) and its operation method.

Description

Mining System and its Operational Method

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a mining system and a method of operation thereof, and more particularly, based on information of a mining device equipped with an application specific integrated circuit (ASIC), mining ROI (Refunds) through optimization and stabilization of mining hash power. on a mining system to improve on investment) and its operation method.

Traditional electronic banking transactions are operated by individuals dealing with trusted institutions such as banks and governments. This is a centralized financial system where a central server plays a role in proving and managing financial transactions.

Recently proposed financial systems use electronic (digital) currencies based on block chains, and are implemented in a decentralized structure in which all network participants share and store transactions. Satoshi Nakamoto's paper, published in 2008, entitled "Bitcoin: A Peer-to-Peer Electronic Cash System," has a central financial institution involved. P2P-type electronic money has been proposed, and solves the problem of double spending using cryptographic functions, and the decentralized nodes that participate in the computing power for mining process. It is proposed to pay coins as an incentive to provide a.

In general, node devices participating in a decentralized blockchain system use the same cryptographic algorithm and protocol. A blockchain system in which node devices participating in a network competitively perform cryptographic operations such as proof of works and reward the node that first presents the result, on-demand for a particular cryptographic algorithm. The ultra-high performance node device equipped with an application specific integrated circuit (ASIC) can occupy an advantageous position, such as monopolizing the mining process, compared to other node devices in the network. It is true.

However, the expensive ultra-high performance mining system equipped with ASIC has a problem that the operation and power operation exceed the threshold in order to achieve the maximum physical performance, which causes the mining hash power of the mining system to become unstable. Will have In addition, the mining hash power and obstacles include a problem that reduces the mining competitiveness of the electronic money of the mining system generated by the mining.

Republic of Korea Patent Publication No. 10-2015-0129098 Republic of Korea Patent Publication No. 10-1758870

The present invention has been invented to solve the problems as described above, by analyzing and predicting anomalies in the mining system to reduce the detection and diagnosis time of the mining system, and optimize the operation of the mining system to optimize the time division mining instability The aim is to provide a mining system and its operation method that contribute to maximizing ROI and increasing the profit value of coins through mining of miners using the mining system.

The mining system and its operation method according to the present invention for achieving the above object comprises the steps of: detecting mining information of the mining system; A mining information analyzing step of analyzing the detected information; A mining information calculating step for calculating numerical analysis information on the analyzed mining information; A mining state analysis step of analyzing whether the result information obtained through the calculation result exceeds a predetermined threshold value; A mining failure analysis step of determining whether a mining condition of the mining system is generated through the analyzed state; And a mining operation control step of applying a command for each control condition according to the threshold value for the determined failure.

In addition, the mining information detection step is characterized by detecting any one of the mining hash power of the mining system, the rotational speed of the fan (Fan), the temperature of the CPU (Chip) and / or the temperature of the mining system.

In addition, the mining information analysis step is characterized by analyzing the accuracy of the value detected in the mining information detection step.

In addition, the mining information calculating step includes applying a time gradient descent method as a means for analyzing the deviation of the detected value over time.

In addition, the mining state analysis step includes setting a weighting index (specific mining time n) obtained through the time gradient descent method.

In addition, the weight index is characterized in that the hash power is 5 times, the speed of the pen is 2 times, the temperature of the mining system is 2 times.

In addition, the mining failure analysis unit selects two values according to the time gradient descent method, the two values (a, b) is characterized in that the failure probability (C) determined by the result of the following equation (1) It is done.

here,

a, b: rate of change for change in hash value over a predetermined time range

c: probability of failure [%]

Further, when the value of the failure occurrence probability (C) is greater than 0% and 10%, it is assumed that there is no failure occurrence probability; When the value of the failure probability (C) is greater than 10% and 20%, it is regarded as a risk of occurrence of a failure error; When the value of the failure probability (C) is greater than 20% to 30%, it is regarded as a failure error occurrence warning; When the value of the failure probability (C) is greater than 30%, it is determined that the failure.

In addition, the mining operation control unit controls the normal driving when the value of the failure occurrence probability (C) is more than 0% to 10%; If the value of the probability of failure (C) is greater than 10% and 20%, it is regarded as a risk and provides information to the minor through any one of warning, e-mail and / or SMS through alarm for monitoring; Automatically rebooting the mining system when the failure probability (C) is greater than 20% and 30%; Means for automatically terminating the mining system if the value of the failure probability (C) is greater than 30% after a predetermined automatic reboot if the value of the failure probability (C) is greater than 30%.

As described above, according to the mining system and its operation method according to the present invention, the abnormal state of the mining system can be analyzed and predicted to provide an ease in terms of management of the mining system.

In addition, according to the present invention, by reducing the time-slicing mining instability of the mining system has an effect that can maximize the ROI of the miner.

In addition, according to the present invention, the efficient operation of the mining system has an effect that can contribute to increase the profit value of the coin through the system rules.

1 is a block diagram of a mining system of the present invention.
2 is a flow chart for a method of operating a mining system according to the present invention.
Figure 3 is a method for determining the weight index through the time gradient descent method for each element of the mining state analysis unit.

1 is a system diagram illustrating a mining system 10 for mining conventional electronic money. The mining system 10 shown shows an example in which the personal computer 11 receives a mining operation directly from the electronic money system 12 to perform mining.

Electronic money is managed through a digital wallet 14, which is generally implemented in software and stored in a storage device of a computer. The electronic money wallet 14 is divided into addresses composed of a public key generated according to a predetermined encryption algorithm, which is used to specify an electronic money transmission target such as an account number used for a bank transfer transaction. That is, the electronic money can move from one person's electronic wallet to another person's electronic wallet. Hereinafter, 'electronic money' means electronic money based on encryption. In addition, 'hash' refers to an algorithm that can calculate an encrypted problem. The higher the hash rate, the more difficult the cryptocurrency can be mined.

There are various kinds of virtual (electronic) money such as Bitcoin, Litecoin, Namecoin, and Peercoin, depending on the encryption algorithm used, and it is not issued by a specific person or company. It has a common point that it can be obtained by solving a mathematical code of. That is, the specific digital currency system 12 that manages the issuance of virtual (electronic) money with a specific mathematical encryption algorithm is not a system operated by a specific person or company, and is used by all individuals who own the electronic money. It is a peer-to-peer network in which computers are connected through a communication network.

In other words, the electronic money is managed through the electronic money system 12, which is a P2P type network, and may provide a mining operation to the mining module 13 performed on the personal computer 11. The mining operation is a mathematical operation that generates a hash value that meets the conditions suggested by the electronic money system 12. When the mining module 13 performs the mining operation and transmits the found hash to the electronic money system 12 as a result of the mining operation, the electronic money system 12 transfers the new electronic money to the mining module that has performed the mining work. It may be issued to the electronic wallet 24 associated with (13).

The mining module 13 is an application that performs a mining operation disclosed by the electronic money system 12. Electronic money system 12 discloses a mathematical cryptographic algorithm associated with electronic money. Anyone can develop a variety of mining applications to solve these open algorithms, or choose from among the already open mining programs.

Due to the nature of mining operations, profitable mining requires pooled mining using a computer with a number of high-performance CPUs or graphics processing units (GPUs). Supporting mining pool servers are also available in various types that can be used directly or integrated with other programs.

2 is a flowchart illustrating a method of operating a mining system for mining electronic money according to the present invention.

Among these, the mining information detector 30 detects information related to mining hash power, fan speed (RPM), chip temperature, power, and the like, which are the main factors affecting the stability of mining in the mining system. The location of the information to be detected may be a location such as a console return value through a command line, a standardized memory address stored in an ASIC machine, and / or a measurement value of data recorded in self-monitoring information.

In addition, the detection method of the information of the main element is to be detected by using a method such as calling by the command, extraction by the production of the command script, and / or extraction of existing data values by parsing by the parser.

In addition, the mining information analysis unit 40 serves as a raw data analysis unit of the mining information to check the data on whether the hash power value, the temperature, and the speed value of the fan are reliable and accurate data. For example, if the average hash rate of the miner is 19GH / s but 30GH / s or 0GH / s is not able to calculate accurate information due to the fault itself, it is not possible to recognize the fault state without analyzing the mining state. Configure notifications to be processed. The alarm method may be configured to provide information to a minor through information notification such as an e-mail or SMS or a status of a failure monitoring system.

In addition, the mining information calculation unit 50 is a step for calculating the numerical analysis information to the mining state information. First, the hash power calculation value is important to analyze the deviation of the numerical value over time. In addition, the temperature information was identified as the main problem of errors in the recognition of the temperature sensor rather than the temperature change over time. For example, when the indoor temperature is below 10 ° C or less, it is caused by a poor temperature sensor recognition, and even when the recognized miner's temperature becomes 70 ° C or higher, it is recognized due to a change in the physical properties of the temperature sensor itself due to the temperature takeover value exceeded. When defects occur and this process continues, it was confirmed that a phenomenon indicating 0 ° C. occurred because temperature recognition information does not exist. The speed of the fan does not meet the desired output requirements due to a foreign material or power supply failure. The calculation is performed by applying the same method as the time gradient descent analysis to extract the hash power calculation value. .

In addition, the mining state analysis unit 60 is a step of analyzing whether the result information obtained through the mining information calculation exceeds a predetermined threshold.

3 illustrates a method for determining a weight index through a time gradient descent method for each element of a mining state analysis unit. FIG. 3 (a) shows the change of the hash value with respect to time, and FIG. 3 (b) shows an enlarged view of the circular part 100 which is a specific time section of FIG. 3 (a).

As shown in FIG. 3 (b), the hash value of a is changed for 5 to 10 minutes, but the hash value of b is changed for 25 to 30 minutes. In this way, the weighting index is determined through a time gradient descent method that measures the rate of change of the hash value with respect to time. For a given mining time (n), the average hash power is determined by multiplying by 5 times, average temperature information by 3 times, and fan speed information by 2 times.

In addition, the mining failure analysis unit 70 can be seen that the change in the hash value is reduced in two time intervals of 5 to 10 minutes and 25 to 30 minutes, respectively, as shown in FIG. In this case, it can be seen that during the 5 minutes between 5 and 10 minutes, point a decreases relatively much compared to point b, and point b decreases less compared to point a. The angle of inclination during a particular time interval is equal to the rate of recovery. The average hash rate decreases during the presence of this inclination angle, which makes it possible to recognize the failure of the mining system. The equation for verifying the occurrence of a failure can be obtained as in Equation (1).

When the result of Equation (1) is 10% or more, the failure frequency of the mining system is considered to be high, and when such results are confirmed two or more times, a failover such as a reboot of the mining system is applied.

In the section a and b of FIG. 3 (b), when the absolute value of the time interval is applied as a percentage of the average hash value due to the difference in the time gap of the time gradient descent angle, there is no obstacle when the error error in the time interval is small. It means the state, and the failure error is relatively high, so the probability of failure is high.

If the threshold of the error error is more than 10%, the failure error occurrence is at least 20% dangerous state, if the failure error warning state, if more than 30% is determined as a failure to determine the criteria.

Finally, the failure operation control unit 80 represents a step of applying a condition-specific command for performing the control according to the threshold criteria for the failover by the mining failure analysis unit 70 is 0% ~ 10% If the operation of the mining system is determined to be stable and 10% to 20% is judged to be a caution step, the alarm is provided to the miner through a monitoring alarm. In this case, the notification method may be any one of e-mail, SMS, and / or a method of providing status awareness information on a failure monitoring system.

In addition, in the case of 20% ~ 30%, the mining system is automatically rebooted as a warning step, and in the case of more than 30%, the mining system is considered to be completely disabled, and the mining system is automatically shut down when the same symptom is repeated once. Step. The above steps are repeated and the operation algorithm of the present invention ends.

The best embodiments have been disclosed in the drawings and specification. Herein, specific terms have been used, but they are used only for the purpose of illustrating the present invention and are not intended to limit the scope of the present invention as defined in the claims or the claims. Therefore, those skilled in the art will understand that various modifications and equivalent other embodiments are possible from this. Therefore, the true technical protection scope of the present invention will be defined by the technical spirit of the appended claims.

10: Mining System 11: Personal Computer
12: Electronic Money System 13: Mining Module
14: electronic money wallet 30: mining information detector
40: mining information analyzer 50: mining information calculator
60: mining state analysis unit 70: mining failure analysis unit
80: mining operation control unit 100: circular part of a specific time interval

Claims (10)

Mining system management method,
Detecting mining information of the mining system;
A mining information analyzing step of analyzing the detected information;
A mining information calculating step for calculating numerical analysis information on the analyzed mining information;
A mining state analysis step of analyzing whether the result information obtained through the calculation result exceeds a predetermined threshold value;
A mining failure analysis step of determining whether a mining condition of the mining system is generated through the analyzed state; And
And a mining operation control step of applying a command for each control condition according to the threshold criteria for the determined failure. The method of claim 1,
The mining information detecting step includes detecting a mining hash power of the mining system, a rotation speed of a fan, a temperature of a CPU, and / or a temperature of the mining system. . The method of claim 2,
The mining information analyzing step analyzes the accuracy of the value detected in the mining information detecting step. The method of claim 3, wherein
The mining information calculating step includes applying a time gradient descent method as a means for analyzing the deviation of the detected value over time. The method of claim 4, wherein
The mining state analyzing step includes setting a weighting index (specific mining time n) obtained through the time gradient descent method. The method of claim 5,
The weighting index is the mining system management method, characterized in that the hash power is 5 times, the pen speed is 2 times, the temperature of the mining system is 2 times. The method of claim 5,
In the mining failure analysis step, two values according to the time gradient descent method are selected, and the two values (a, b) determine a failure occurrence probability (C) based on the result of Equation (2) below. How to manage mining systems.

here,
a, b: rate of change for change in hash value over a predetermined time range
c: probability of failure [%]. The method of claim 7, wherein
When the value of the failure probability (C) is greater than 0% and 10%, it is considered that there is no failure probability;
When the value of the failure probability (C) is greater than 10% and 20%, it is regarded as a risk of occurrence of a failure error;
When the value of the failure probability (C) is greater than 20% to 30%, it is regarded as a failure error occurrence warning;
If the value of the failure probability (C) is greater than 30%, the mining system management method characterized in that it is determined as a failure. The method of claim 8,
The mining operation control step is the normal drive control when the value of the failure probability (C) is more than 0% ~ 10%;
When the value of the probability of failure (C) is greater than 10% to 20%, it is regarded as a risk and provides information to Miner through any one of warning, e-mail, and / or SMS through alarm for monitoring;
Automatically rebooting the mining system when the failure probability (C) is greater than 20% and 30%;
Means for automatically terminating the mining system when the value of the failure probability (C) is greater than 30% after a predetermined automatic reboot when the value of the failure probability (C) is greater than 30%. . 10. A mining system for implementing the method of any one of claims 1 to 9.

Images