CN110223171A - A kind of digging mine method and system - Google Patents
A kind of digging mine method and system Download PDFInfo
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- CN110223171A CN110223171A CN201910415248.7A CN201910415248A CN110223171A CN 110223171 A CN110223171 A CN 110223171A CN 201910415248 A CN201910415248 A CN 201910415248A CN 110223171 A CN110223171 A CN 110223171A
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- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000010801 machine learning Methods 0.000 claims abstract description 25
- 230000008569 process Effects 0.000 claims abstract description 13
- 238000005065 mining Methods 0.000 claims abstract description 7
- 239000000126 substance Substances 0.000 claims description 18
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- 238000004458 analytical method Methods 0.000 claims description 5
- 238000009412 basement excavation Methods 0.000 claims description 4
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- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 2
- 235000003140 Panax quinquefolius Nutrition 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 235000008434 ginseng Nutrition 0.000 description 2
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The invention discloses a kind of digging mine methods, suitable for the mining process for virtually encrypting currency, it digs mine method and is provided with digging mine equipment, control centre and cloud server, digging mine equipment includes the household electronic equipment that computing capability is left unused, and control centre connect with mine equipment is dug;It digs mine equipment and carries out digging mine by calculating, obtain virtual encryption currency, control centre carries out transaction compensation to the owner of household electronic equipment according to mine equipment workload is dug;The beneficial effect of above-mentioned technical proposal is: carrying out digging mine operation using the computing capability that household electronic equipment leaves unused, improve the success rate for digging mine, it is predicted by machine learning techniques and digs information required for mine next time, reduce calculation times, it further increases and digs mine efficiency, reduce energy consumption, save the cost.
Description
Technical field
The present invention relates to virtual encryption currency field more particularly to a kind of digging mine method and systems.
Background technique
Encryption currency is a kind of transaction for using Cryptography Principles to create ensuring transaction security and to control trade unit
Medium, the common recognition mechanism based on decentralization and it is opposite with the bank finance system of centralization supervisory system is currently relied upon.Add
The type of close currency has very much, wherein it is most representative with bit coin, also most it is known from.
By taking bit coin as an example.The running of bit coin depends on block chain technology, and the corresponding bill of each block passes through
The mode of book keeping operation determines the ownership and the generation of next block of bit coin in current block.The calculating being connected in internet
Equipment (we be known as " node ") is all eligible to participate in book keeping operation, but the final book keeping operation ownership of each block in which node be to pass through
The common recognition mechanism of proof of work determines.That is the workload of which node is proved to be maximum, and obtains
The consistency of all nodes is approved in current block, then which node just weighs the book keeping operation for obtaining current block, accordingly
The bit coin of this block can be obtained as reward.The work quantitative response of the one node computing capability of this node, i.e.,
The calculation times that can be done in unit time.The node of book keeping operation is participated in by largely calculating to obtain one group of random value and make
The Hash hashed value of current block head meets some standard, to obtain bit coin, this process is exactly the " digging described in us
Mine ".
The digging mine success rate of one node be it is directly related with the computing capability of this node, the computing capability of node is got over
By force, easier dig arrives mine.Therefore, mine success rate is dug in order to improve, we can mention by way of increasing computing resource
The computing capability of high node.Computing resource is exactly to have chip or equipment, such as CPU and GPU of computing capability etc..
As the improvement of people's living standards, many families have bought more high-end electronic equipment, such as high property now
Computer, the high end games machine etc. of energy, to improve the quality of living.These equipment are built-in with CPU the and GPU core of very strong computing capability
Piece.However, people are not to use these equipment in daily 24 hours, there will necessarily be these equipment of some periods and be in
Idle state.So, within these periods, the computing capability of the computing resources such as CPU and GPU inside equipment is just wasted.
It digs mine process to need the high-frequency operation of computing resource and dig the operating of mine equipment high load capacity, consumes a large amount of electricity
Can, cost is relatively high.
Summary of the invention
According to the above-mentioned problems in the prior art, a kind of digging mine technology and system are now provided, it is intended to make full use of the spare time
The computing capability for the household electronic equipment computing resource set carries out digging mine operation, the success rate for digging mine is improved, by cloud service
The machine learning techniques of device to the digging mine information in the past period are analyzed and are summarized, and digging mine institute next time is predicted
The information needed further increases so that computing resource greatly reduces calculation times when digging mine next time and digs mine efficiency, reduces energy
Consumption, save the cost.
Above-mentioned technical proposal specifically includes:
A kind of digging mine method, suitable for the mining process for virtually encrypting currency, the digging mine method is provided with digging mine and sets
Standby, control centre and cloud server, the mine equipment of digging includes the household electronic equipment that computing capability is left unused, in the control
The heart is connect with the digging mine equipment;
The digging mine equipment carries out digging mine by calculating, and obtains the virtual encryption currency, the control centre is according to institute
It states digging mine equipment workload and transaction compensation is carried out to the owner of the household electronic equipment;
The digging mine equipment connects a cloud server, and the cloud server includes memory and processor, described to deposit
Reservoir is used to store the digging mine information that the digging mine equipment uploads;The processor connects the memory, for the digging
Mine information is analyzed, to obtain the relationship between each parameter that the digging mine information includes;
The step of cloud server works with the digging mine equipment collaboration include:
Step S1, the digging mine information dug mine equipment and be recorded in digging mineral products life in one first preset period of time, and
The digging mine information is uploaded in the idle period for digging mine equipment to the memory;
Step S2, the processor obtain a machine according to the training of the digging mine information of the history saved in the memory
Device learning model, and using real-time reception to the digging mine information handled as input data, to obtain and export digging mine
The predicted value of required random parameter;
The predicted value is sent to the digging mine equipment by step S3, the processor;
Step S4, the digging mine equipment are counted during the predicted value is substituted into the excavation virtual encryption currency
It calculates, to continue to obtain the virtual encryption currency;
The control centre connects the cloud server, and the control centre is according to the workload of the cloud server
Transaction compensation is carried out to the owner of the cloud server.
Preferably, the central processing unit and/or graphics process in the household electronic equipment described in the digging mine equipment utilization
Device carries out the dredge operation of virtual encryption currency.
Preferably, the digging mine information includes immobilized substance, random parameter and cryptographic Hash, and the immobilized substance includes described
Version number, timestamp and the difficulty of block when mine equipment digs mine every time are dug, the random parameter is joined comprising hashMerkleRoot
Several and nNonce parameter.
Preferably, the step S2 specific steps include:
Step S21, the cloud server analyze the history of each block the cryptographic Hash and the immobilized substance and
Relationship between the random parameter, training obtain the machine learning model;
The version number of step S22, Xiang Suoshu machine learning model input current block is described with previous block
Dig the requirement of mine information and the cryptographic Hash, the predicted value of the machine learning model output current block.
A kind of digging mine system, suitable for the mining process for virtually encrypting currency, the digging mine system includes:
Multiple digging mine units, multiple household electronic equipment realizations digging mine units and being idle using computing resource, institute
It states digging mine unit and records digging mine information during every subjob;
Transmission unit is separately connected each digging mine unit, for believing the digging mine for digging mine unit record
Breath is sent to the storage unit of the connection transmission unit;
The digging mine information is stored in the storage unit;
Analytical unit, connects the storage unit, and the analytical unit analyzes the letter of the digging mine in the storage unit
Breath, and predict random parameter predicted value;
Adjustment unit is separately connected the analytical unit and the digging mine unit, sends instruction and requires the digging mine unit
It carries out digging mine operation according to the random parameter predicted value that analytical unit analysis prediction obtains.
Preferably, the digging mine information for digging mine unit record includes immobilized substance, random parameter and cryptographic Hash, institute
State version number, timestamp and the difficulty that immobilized substance includes block when the digging mine equipment digs mine every time, the random parameter packet
Parameter containing hashMerkleRoot and nNonce parameter.
Preferably, the analytical unit analyzes the cryptographic Hash of the history of each block and the immobilized substance and described
Relationship between random parameter, training obtain the machine learning model;To machine learning model input current block
The version number and the digging mine information of previous block and the requirement of the cryptographic Hash, the machine learning model output
The predicted value of current block.
Preferably, further includes:
Timing unit, is separately connected the transmission unit and the digging mine unit, setting 1 the in Yu Suoshu timing unit
One preset period of time;
The timing unit the digging mine unit complete it is primary dig mine operation after start timing, when timing is by described the
One preset period of time, and the digging mine unit is in idle condition, then and the transmission unit is directly sent to the storage unit
The digging mine information generated in first preset period of time.
The beneficial effect of above-mentioned technical proposal is: making full use of the computing capability of idle household electronic equipment computing resource
It carries out digging mine operation, improves the success rate for digging mine, come by the machine learning techniques of cloud server in the past period
Digging mine information analyzed and summarized, predict next time dig mine required for information so that next time dig mine when calculate money
Source greatly reduces calculation times, further increases and digs mine efficiency, reduces energy consumption, save the cost.
Detailed description of the invention
With reference to appended attached drawing, to be described more fully the embodiment of the present invention.However, appended attached drawing be merely to illustrate and
It illustrates, and is not meant to limit the scope of the invention.
Fig. 1 is cloud server and the overview flow chart for digging the work of mine equipment collaboration in preferred embodiment of the invention;
Fig. 2 is in preferred embodiment of the invention, on the basis of Fig. 1, process that step S2 is described further
Schematic diagram;
Fig. 3 is a kind of structural schematic diagram for digging mine system in preferred embodiment of the invention;
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art without making creative work it is obtained it is all its
His embodiment, shall fall within the protection scope of the present invention.
It should be noted that in the absence of conflict, the feature in embodiment and embodiment in the present invention can phase
Mutually combination.
The present invention will be further explained below with reference to the attached drawings and specific examples, but not as the limitation of the invention.
Based on the above-mentioned problems in the prior art, the present invention provides a kind of digging mine method, is suitable for virtual encryption goods
In the mining process of coin,
It digs mine method and is provided with digging mine equipment, control centre and cloud server, it is idle comprising computing capability to dig mine equipment
Household electronic equipment, control centre with dig mine equipment connect;
Digging mine equipment, which passes through to calculate, carries out digging mine, obtains and virtually encrypts currency, control centre is according to digging mine equipment workload
Transaction compensation is carried out to the owner of household electronic equipment;
It digs mine equipment and connects a cloud server, cloud server includes memory and processor, and memory is for storing
Dig the digging mine information that mine equipment uploads;Processor connects memory, for analyzing digging mine information, to obtain digging mine information
The relationship between each parameter for including;
As shown in Figure 1, cloud server is wrapped with the step of digging the work of mine equipment collaboration in preferred embodiment of the invention
It includes:
Step S1 digs mine equipment and is recorded in the digging mine information for digging mineral products life in one first preset period of time, and digging mine equipment
Idle period in upload and dig mine information to memory;
Step S2, processor obtain a machine learning model according to the training of the digging mine information of the history saved in memory,
And using real-time reception to digging mine information handle as input data, with obtain and export dig mine needed for random parameter
Predicted value;
Predicted value is sent to and digs mine equipment by step S3, processor;
Step S4 digs during predicted value is substituted into the virtual encryption currency of excavation by mine equipment and calculates, to continue to obtain
It obtains and virtually encrypts currency;
Control centre connects cloud server, and cloud server is gathered around according to the workload of cloud server by control centre
The person of having carries out transaction compensation.
Specifically, virtually encryption currency temperature gradually rise, the continuous development of block chain technology, more and more ginsengs
With the excavation of virtual encryption currency.Virtual encryption quantity of money in block is limited, calculates setting for the cryptographic Hash of block at first
It is standby to obtain corresponding virtual encryption currency.High performance digging mine equipment has stronger computing capability, significantly improves
Dig mine success rate.
Control centre negotiates to rent household electronic equipment, digs mine using CPU the or GPU chip built in equipment.Arrange in advance
It is only rented when equipment is in idle state, does not influence kinsfolk's normal device.
Specifically, the first preset period of time includes one day, one week or other suitable periods;
In the above-described embodiments, household electronic equipment uploads the digging mine information in one month to cloud server, cloud clothes
The historical data that business device analyzes equipment upload predicts random parameter by the method for machine learning, and is sent to this
Equipment, the random parameter predicted value that control centre requires digging mine equipment to send according to cloud server are calculated.
In preferred embodiment of the invention, in dig mine equipment utilization household electronic equipment in central processing unit and/or
Graphics processor carries out the dredge operation of virtual encryption currency.
Specifically, many families buy the electronic equipment for being equipped with the strong CPU and GPU chip of performance, such as high performance
Computer, high end games machine etc., have powerful computing capability.However, these electronic equipment mosts of the time are all in idle
State, powerful computing resource could not make full use of.
In preferred embodiment of the invention, compensation way includes, in one second preset period of time, to digging mine equipment: propping up
It pays for it in cash, pay encrypted virtual currency, cash payment and the virtual combination for encrypting currency.
Specifically, the second preset period of time includes one day, one week or other suitable periods.
In above-described embodiment, the compensation way for renting computing resource is appointed when negotiating, and can pass through branch
Cash payment gold money or the mode for encrypting currency compensate, such as: it rents and just pays within 1st a certain amount of cash currency, or rent
It with just paying a certain amount of encryption currency a week, or rents and obtains within one month cash currency and encryption currency simultaneously, when rental
Section and the means of payment can be combined with each other.
In preferred embodiment of the invention, digging mine information includes immobilized substance, random parameter and cryptographic Hash, immobilized substance
Version number, timestamp and difficulty comprising digging block when mine equipment digs mine every time, random parameter are joined comprising hashMerkleRoot
Several and nNonce parameter.
Specifically, digging mine is largely calculated by computing resources such as CPU and GPU, meets current block to obtain
The cryptographic Hash of defined, to obtain encryption currency.It all include the timestamp and difficulty of current block in each calculating process, with
And the cryptographic Hash of previous block, there are also some random values, and wherein random value includes hashMerkleRoot, nNonce etc. random
Parameter.
In preferred embodiment of the invention, as shown in Fig. 2, step S2 specific steps include:
Step S21, cloud server are analyzed between the cryptographic Hash and immobilized substance and random parameter of the history of each block
Relationship, training obtain machine learning model;
Step S22, to machine learning model input current block version number and previous block digging mine information and
The requirement of cryptographic Hash, machine learning model export the predicted value of current block.
A kind of digging mine system, suitable for the mining process for virtually encrypting currency, as shown in figure 3, digging mine system includes:
Multiple digging mine units 1, multiple mine units 1 that dig are realized using the household electronic equipment that computing resource is idle, and dig mine
Unit 1 records during every subjob digs mine information;
Transmission unit 2 is separately connected each digging mine unit 1, is sent to one for will dig the digging mine information that mine unit 1 records
Connect the storage unit 3 of transmission unit 2;
It is stored in storage unit 3 and digs mine information;
Analytical unit 4, connect storage unit 3, analytical unit 4 analyze storage unit 3 in digging mine information, and predict with
Machine parameter prediction value;
Adjustment unit 5 is separately connected analytical unit 4 and digs mine unit 1, sends instruction and requires to dig mine unit 1 according to analysis
The random parameter predicted value that the analysis prediction of unit 4 obtains carries out digging mine operation.
Specifically, mine unit 1 is dug after dig mine for a period of time, and the digging mine information generated in the period is passed through into hair
Unit 2 is sent to be sent to storage unit 3, storage unit 3, which records and arranges history, digs mine information, and analytical unit 4 calls storage unit 3
In history dig mine information and carry out machine learning, and the requirement of the cryptographic Hash according to newest block obtains the random ginseng of the block
Number predicted value, by adjusting unit 5, it is desirable that dig mine unit 1 and calculated referring to random parameter predicted value.
In preferred embodiment of the invention, dig mine unit 1 record digging mine information include immobilized substance, random parameter and
Cryptographic Hash, immobilized substance include version number, timestamp and the difficulty for digging block when mine equipment digs mine every time, and random parameter includes
HashMerkleRoot parameter and nNonce parameter.
Specifically, digging mine unit 1 is largely calculated by computing resources such as CPU and GPU, is met currently with obtaining
The cryptographic Hash of block defined, to obtain encryption currency.It all include the timestamp and difficulty of current block in each calculating process
The cryptographic Hash of degree and previous block, there are also some random values, and wherein random value includes hashMerkleRoot, nNonce
Equal random parameters.
In preferred embodiment of the invention, analytical unit 4 analyzes the cryptographic Hash and immobilized substance of the history of each block
Relationship between random parameter, training obtain machine learning model;To the version number of machine learning model input current block
With the digging mine information of previous block and the requirement of cryptographic Hash, machine learning model exports the predicted value of current block.
In preferred embodiment of the invention, further includes:
Timing unit 6 is separately connected transmission unit 2 and digs mine unit 1, when setting one first is default in timing unit 6
Section;
Timing unit 6 starts timing after digging mine unit 1 and completing once to dig mine operation, when timing is default by first
Section, and dig mine unit 1 and be in idle condition, then transmission unit 2 is directly sent in the first preset period of time to storage unit 3 and produces
Raw digging mine information.
Specifically, the first preset period of time includes one day, one week or other suitable periods;
In the above-described embodiments, it digs mine unit 1 and passes through the digging mine information in the upload of transmission unit 2 one month to storage unit
3,4 analysis of history data of analytical unit predict random parameter by the method for machine learning, and pass through control unit
It is sent to the equipment, control unit requires digging mine unit 1 to be calculated according to the random parameter predicted value of analytical unit 4.
The foregoing is merely preferred embodiments of the present invention, are not intended to limit embodiments of the present invention and protection model
It encloses, to those skilled in the art, should can appreciate that all with made by description of the invention and diagramatic content
Equivalent replacement and obviously change obtained scheme, should all be included within the scope of the present invention.
Claims (8)
1. a kind of digging mine method, suitable for the mining process for virtually encrypting currency, which is characterized in that the digging mine method setting
Have and dig mine equipment, control centre and cloud server, the mine equipment of digging includes the household electronic equipment that computing capability is left unused, institute
Control centre is stated to connect with the digging mine equipment;
The digging mine equipment carries out digging mine by calculating, and obtains the virtual encryption currency, the control centre is according to the digging
Mine equipment workload carries out transaction compensation to the owner of the household electronic equipment;
The digging mine equipment connects a cloud server, and the cloud server includes memory and processor, the memory
The digging mine information uploaded for storing the digging mine equipment;The processor connects the memory, for believing the digging mine
Breath is analyzed, to obtain the relationship between each parameter that the digging mine information includes;
The step of cloud server works with the digging mine equipment collaboration include:
Step S1, the mine equipment of digging are recorded in the digging mine information that mineral products life is dug in one first preset period of time, and described
It digs in the idle period of mine equipment and uploads the digging mine information to the memory;
Step S2, the processor obtain an engineering according to the training of the digging mine information of the history saved in the memory
Practise model, and using real-time reception to the digging mine information handled as input data, with obtain and export digging mine needed for
Random parameter predicted value;
The predicted value is sent to the digging mine equipment by step S3, the processor;
Step S4, the digging mine equipment calculate during the predicted value is substituted into the excavation virtual encryption currency,
To continue to obtain the virtual encryption currency;
The control centre connects the cloud server, and the control centre is according to the workload of the cloud server to institute
The owner for stating cloud server carries out transaction compensation.
2. a kind of digging mine method as described in claim 1, which is characterized in that the household electronic described in the digging mine equipment utilization
Central processing unit and/or graphics processor in equipment carry out the dredge operation of virtual encryption currency.
3. a kind of diggings mine method as described in claim 1, which is characterized in that the diggings mine information comprising immobilized substance, at random
Parameter and cryptographic Hash, the immobilized substance include version number, timestamp and the difficulty of block when the digging mine equipment digs mine every time,
The random parameter includes hashMerkleRoot parameter and nNonce parameter.
4. a kind of digging mine method as claimed in claim 4, which is characterized in that the step S2 specific steps include:
Step S21, the cloud server analyze the cryptographic Hash of the history of each block and the immobilized substance and described
Relationship between random parameter, training obtain the machine learning model;
Step S22, Xiang Suoshu machine learning model inputs the version number of current block and the digging mine of previous block
The requirement of information and the cryptographic Hash, the predicted value of the machine learning model output current block.
5. a kind of digging mine system, suitable for the mining process for virtually encrypting currency, which is characterized in that the digging mine system packet
Contain:
Multiple digging mine units, multiple household electronic equipment realizations digging mine units and being idle using computing resource, the digging
Mine unit records during every subjob digs mine information;
Transmission unit is separately connected each digging mine unit, for sending out the digging mine information for digging mine unit record
It send to the storage unit of a connection transmission unit;
The digging mine information is stored in the storage unit;
Analytical unit connects the storage unit, and the analytical unit analyzes the digging mine information in the storage unit, and
Predict random parameter predicted value;
Adjustment unit, is separately connected the analytical unit and the digging mine unit, send instruction require the digging mine unit according to
The random parameter predicted value that the analytical unit analysis prediction obtains carries out digging mine operation.
6. a kind of digging mine system as claimed in claim 5, which is characterized in that the digging mine information for digging mine unit record
Comprising immobilized substance, random parameter and cryptographic Hash, the immobilized substance includes the version of block when the digging mine equipment digs mine every time
This number, timestamp and difficulty, the random parameter include hashMerkleRoot parameter and nNonce parameter.
7. a kind of digging mine system as claimed in claim 5, which is characterized in that the analytical unit analyzes the history of each block
The cryptographic Hash and the immobilized substance and the random parameter between relationship, training obtain the machine learning model;
To the digging mine information of the version number and the previous block of machine learning model input current block and described
The requirement of cryptographic Hash, the predicted value of the machine learning model output current block.
8. a kind of digging mine system as claimed in claim 5, which is characterized in that further include:
Timing unit is separately connected the transmission unit and the digging mine unit, and setting one first is pre- in Yu Suoshu timing unit
If the period;
The timing unit starts timing after the digging mine unit completes primary digging mine operation, when timing is pre- by described first
If the period, and the digging mine unit is in idle condition, then and the transmission unit is directly sent in institute to the storage unit
State the digging mine information generated in the first preset period of time.
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CN111355608A (en) * | 2020-02-18 | 2020-06-30 | 杭州复杂美科技有限公司 | Block chain rollback exception identification method, system, equipment and storage medium |
CN111600850A (en) * | 2020-04-26 | 2020-08-28 | 武汉思普崚技术有限公司 | Method, equipment and storage medium for detecting mine digging virtual currency |
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