WO2019200558A1

WO2019200558A1 - Blockchain node service method and apparatus, mining method and apparatus, and device, system, and medium

Info

Publication number: WO2019200558A1
Application number: PCT/CN2018/083492
Authority: WO
Inventors: 刘均; 刘新; 金武超
Original assignee: 深圳市元征软件开发有限公司
Priority date: 2018-04-18
Filing date: 2018-04-18
Publication date: 2019-10-24
Also published as: CN111433807A

Abstract

A blockchain node service method and apparatus, a mining method and apparatus, and a device, a system, and a medium. The blockchain node service method comprises: assigning different consensus algorithms to hardware devices of different working types, so that the hardware devices obtain corresponding bookkeeping rights after completing corresponding types of work that satisfy preset conditions; obtaining corresponding workloads submitted after the hardware devices obtain the corresponding bookkeeping rights; according to preset point reward consensuses corresponding to the types of the workloads, determining points corresponding to the workloads submitted by the hardware devices, transferring the points to user accounts corresponding to the hardware devices, and then performing corresponding registration and broadcasting in the entire network. In the solution, according to the differences between the working types of hardware devices, different consensus algorithms are assigned to different hardware devices, and in this way, the hardware devices of the different working types can be involved in a mining process on the basis of work characteristics of the hardware devices, thereby obtaining corresponding points and improving mining efficiency.

Description

Block chain node service, mining method, device, equipment, system and medium

Technical field

The present application relates to the field of blockchain technology, and in particular, to a blockchain node service, mining method, device, device, system and medium.

Background technique

With the rise of blockchain technology, the point distribution system based on blockchain technology has also developed rapidly. The main way of obtaining existing points (such as bitcoin and other virtual currency) is as follows: a single hardware downloads a dedicated integral computing tool from the point issuing platform server, and then performs a transaction occurring on the blockchain corresponding to the point issuing platform. Repeated operations, through a certain type of consensus algorithm to obtain transaction confirmation rights, that is, billing rights, thereby obtaining transaction fees and points rewards. The way the points are acquired is also called mining.

However, the existing mining is carried out by a single hardware based on a single consensus algorithm. This mining method is difficult to attract more computing resources to participate in the mining process, resulting in low mining efficiency and severely limiting the block. The rapid development of the chain network.

Summary of the invention

In view of this, the purpose of the present application is to provide a blockchain node service, mining method, device, device, system and medium, which can attract more computing resources to participate in the mining process and improve the mining efficiency. The specific plan is as follows:

In a first aspect, the present application discloses a blockchain node service method, which is applied to a blockchain node server, and includes: assigning different consensus algorithms to hardware devices of different working types, so that the hardware devices are completing corresponding types. Obtaining the corresponding billing right after the work satisfying the preset condition; obtaining the corresponding workload submitted by the hardware device after obtaining the corresponding billing right; determining and coordinating according to the preset credit reward consensus corresponding to the type of the workload The credit corresponding to the workload submitted by the hardware device is transferred to the user account corresponding to the corresponding hardware device, and then the corresponding registration is performed and broadcasted throughout the network.

Optionally, the allocating different consensus algorithms to the hardware devices of different working types, including: determining a working type of the hardware device; determining, from the first preset mapping library, a working type corresponding to the hardware device The consensus algorithm allocates the determined consensus algorithm to the corresponding hardware device; wherein the first preset mapping library is used to record different consensus algorithms corresponding to different work types.

Optionally, the determining the working type of the hardware device includes: acquiring a device type sent by the hardware device; determining, from a second preset mapping library, a work type corresponding to the device type; The second preset mapping library is used to record different work types corresponding to different device types.

Optionally, the determining the working type of the hardware device includes: determining a working type of the hardware device by directly acquiring a working type sent by the hardware device.

Optionally, the allocating different consensus algorithms for the hardware devices with different working types, including: sending a third preset mapping library to the hardware device, so that the hardware device is from the third device according to its own working type. The preset mapping library matches the corresponding consensus algorithm; wherein the third preset mapping library is used to record different consensus algorithms corresponding to different work types.

Optionally, the work that meets the preset condition includes: obtaining a data collection result that satisfies the first preset condition in the data collection process; and/or obtaining the second preset condition in the data analysis process. The work of the data analysis results.

Optionally, the method for serving the blockchain node further includes: obtaining a user registration request, and assigning a unique user account to the corresponding user; and acquiring, in the login state, the corresponding one of the user accounts Registering requests of the hardware devices, and assigning different device identifiers to different hardware devices; recording the user accounts and corresponding device identifiers of the plurality of hardware devices.

Optionally, the method for serving the blockchain node further includes: counting a sum of workloads submitted by all the hardware devices corresponding to the same user account in a preset time period; determining whether the sum is less than a pre-predetermined Set the sum threshold, if yes, trigger the corresponding prompt information to prompt the corresponding user to take measures to improve the point acquisition efficiency.

In a second aspect, the present application discloses a mining method, which is applied to a hardware device, including: acquiring a corresponding consensus algorithm allocated by a blockchain node server according to a work type of the hardware device; and completing the corresponding process based on the consensus algorithm Obtaining a corresponding billing right after the work satisfying the preset condition, and then submitting a corresponding workload to the block chain node server; wherein the block chain node server obtains the workload submitted by the hardware device And determining, according to a preset credit reward consensus corresponding to the type of the workload, an integral corresponding to the workload submitted by the hardware device; acquiring a score corresponding to the submitted workload transferred by the blockchain node server; The block chain node server performs corresponding registration and network-wide broadcast after transferring the points to the hardware device.

Optionally, before the obtaining the corresponding consensus algorithm that is allocated by the block chain node server according to the working type of the hardware device, the method further includes: selecting, from all types of work that the hardware device can process, selecting the filter that meets the manual input. The type of work of the condition, and the filtered work type is sent to the blockchain node server.

Optionally, before the obtaining the corresponding consensus algorithm that is allocated by the block chain node server according to the working type of the hardware device, the method further includes: selecting, from all types of work that the hardware device can process, satisfying the system preset screening The type of work of the condition, and the filtered work type is sent to the blockchain node server.

In a third aspect, the present application discloses a blockchain node service device, which is applied to a blockchain node server, and includes: a consensus algorithm allocation module, configured to allocate different consensus algorithms for hardware devices of different working types, so as to The hardware device obtains the corresponding billing right after completing the corresponding type of work satisfying the preset condition; the workload obtaining module is configured to obtain the corresponding workload submitted by the hardware device after obtaining the corresponding billing right; a module, configured to determine, according to a preset point reward consensus corresponding to the type of the workload, a score corresponding to the workload submitted by the hardware device, and transfer the point to a user account corresponding to the corresponding hardware device, Then carry out the corresponding registration and broadcast on the whole network.

Optionally, the consensus algorithm allocation module includes: a work type determining unit, configured to determine a working type of the hardware device; and a consensus algorithm assigning unit, configured to determine, from the first preset mapping library, the hardware A consensus algorithm corresponding to the working type of the device, and the determined consensus algorithm is allocated to the corresponding hardware device; wherein the first preset mapping library is used to record different consensus algorithms corresponding to different work types.

Optionally, the work type determining unit is configured to obtain a device type sent by the hardware device, and then determine, from the second preset mapping library, a work type corresponding to the device type; The second preset mapping library is used to record different work types corresponding to different device types.

Optionally, the working type determining unit is specifically configured to determine a working type of the hardware device by directly acquiring a working type sent by the hardware device.

Optionally, the consensus algorithm allocation module includes: a mapping library sending unit, configured to send a third preset mapping library to the hardware device, so that the hardware device is from the third pre-pre The mapping library is matched with a corresponding consensus algorithm; wherein the third preset mapping library is used to record different consensus algorithms corresponding to different work types.

Optionally, the blockchain node service device further includes: a first request response module, configured to acquire a user registration request, and assign a unique user account to the corresponding user; and a second request response module, configured to The user account is in the login state, and the registration request of the plurality of hardware devices corresponding to the user account is obtained, and different device identifiers are assigned to different hardware devices; the information recording module is configured to record the user account and the corresponding office. A device identifier of a plurality of hardware devices.

Optionally, the blockchain node service device further includes: a workload statistics module, configured to collect a sum of workloads submitted by all the hardware devices corresponding to the same user account in a preset time period; The prompting module is configured to determine whether the sum is less than a preset sum threshold, and if yes, trigger corresponding prompt information to prompt the corresponding user to take measures to improve the point acquisition efficiency.

In a fourth aspect, the present application discloses a mining device, which is applied to a hardware device, and includes: a consensus algorithm obtaining module, configured to acquire a corresponding consensus algorithm allocated by the block chain node server according to the working type of the hardware device; And a quantity submitting module, configured to acquire a corresponding billing right after completing the corresponding work satisfying the preset condition, and then submit a corresponding workload to the block chain node server; wherein the block After obtaining the workload submitted by the hardware device, the chain node server determines, according to a preset credit reward consensus corresponding to the type of the workload, an integral corresponding to the workload submitted by the hardware device; and an integral acquisition module, configured to: Acquiring the points corresponding to the submitted workload transferred by the blockchain node server; wherein the block chain node server performs corresponding registration and network-wide broadcasting after transferring the points to the hardware device.

Optionally, the mining device further includes: a first work type selection module, configured to: before the consensus algorithm acquisition module acquires a corresponding consensus algorithm allocated by the block chain node server according to the work type of the hardware device Selecting a work type that satisfies the manually input filter condition from all types of work that the hardware device can handle, and sends the filtered work type to the block chain node server.

Optionally, the mining device further includes: a second work type selection module, configured to: before the consensus algorithm acquisition module acquires a corresponding consensus algorithm allocated by the block chain node server according to the work type of the hardware device Selecting a work type that satisfies the system preset filter condition from all types of work that the hardware device can handle, and sends the filtered work type to the block chain node server.

In a fifth aspect, the present application discloses a blockchain node server including a processor and a memory; wherein the processor implements the blockchain node service method disclosed above when executing the computer program stored in the memory.

In a sixth aspect, the present application discloses a hardware device including a processor and a memory; wherein the aforementioned mining method is implemented when the processor executes a computer program stored in the memory.

Optionally, the hardware device includes: an OBD box whose work type is collecting vehicle state data; and/or a first in-vehicle device whose work type is analysis of vehicle state data; and/or, the work type is collecting vehicle transactions. a meter for the consumption record; and/or a second in-vehicle device that analyzes the vehicle transaction consumption record; and/or a handheld mobile terminal that operates in a vehicle diagnostic report.

In a seventh aspect, the present application discloses a mining system comprising a blockchain node server as disclosed above and a plurality of hardware devices as disclosed above having different types of work.

In an eighth aspect, the present application discloses a computer readable storage medium for storing a blockchain node service program; wherein the blockchain node service program is executed by a processor to implement the foregoing disclosed blockchain node service method.

In a ninth aspect, the present application discloses a computer readable storage medium for storing a mining program; wherein the mining program is executed by a processor to implement the mining method disclosed above.

It can be seen that the present application allocates different consensus algorithms for different hardware devices according to different types of hardware devices, so that hardware devices of different working types can participate in the mining process based on their own working characteristics, thereby obtaining corresponding The integration of the points avoids the problem of low mining efficiency due to mining in a single hardware. That is to say, the types of hardware devices involved in mining in the present application can be various, and are not limited to a specific hardware device, so that one user can simultaneously participate in mining using a plurality of hardware devices. For individual users, due to the variety of hardware devices that can participate in mining, the user can integrate more computing resources to participate in mining, improve mining efficiency, and thus obtain more points rewards; For the blockchain network, because it breaks the current situation that only allows a single hardware device to participate in mining, the user can use different types of hardware devices to participate in mining to obtain points rewards, thereby attracting more worldwide The computational resources involved in mining have greatly promoted the rapid development of this blockchain network.

DRAWINGS

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings to be used in the embodiments or the prior art description will be briefly described below. Obviously, the drawings in the following description are only It is an embodiment of the present application, and those skilled in the art can obtain other drawings according to the provided drawings without any creative work.

1 is a flowchart of a method for serving a blockchain node according to an embodiment of the present application;

2 is a flowchart of a specific blockchain node service method disclosed in an embodiment of the present application;

FIG. 3 is a flowchart of a specific method for serving a blockchain node according to an embodiment of the present application;

4 is a flowchart of a specific blockchain node service method disclosed in an embodiment of the present application;

FIG. 5 is a flow chart of a mining method disclosed in an embodiment of the present application; FIG.

FIG. 6 is a schematic structural diagram of a blockchain node service device according to an embodiment of the present application;

7 is a schematic structural view of a mining device disclosed in an embodiment of the present application;

FIG. 8 is a schematic structural diagram of a blockchain node server according to an embodiment of the present disclosure;

FIG. 9 is a schematic structural diagram of a hardware device according to an embodiment of the present application.

detailed description

The technical solutions in the embodiments of the present application will be clearly and completely described in the following with reference to the accompanying drawings in the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present application without departing from the inventive scope are the scope of the present application.

The embodiment of the present application discloses a blockchain node service method, which is applied to a blockchain node server, wherein the blockchain node server in this embodiment may specifically be a zone with strong computing and processing capability in the blockchain network. The blockchain node device is capable of responding to requests initiated by hardware devices that are added to the blockchain network and is capable of rewarding the hardware devices. Referring to Figure 1, the method includes:

Step S11: Allocating different consensus algorithms for hardware devices with different working types, so that the hardware device obtains corresponding billing rights after completing corresponding work of the corresponding type.

In this embodiment, the hardware devices involved in mining are specifically a plurality of hardware devices with different working types. It can be understood that the working type of the hardware device in this embodiment refers to the type of work confirmed by the blockchain node server. Since the type of work that can be handled by the same hardware device is usually not limited to only one type of work, it can usually handle multiple types of work. In order to avoid confusion, the embodiment may select any one or several types of work from all types of work that can be processed by a hardware device by using a manual selection method or a system automatic selection method as the final passable blockchain. The type of work confirmed by the node server. For example, the embodiment may automatically select, by the system, the type of work that consumes the most computing resources from among all types of work that can be processed by one hardware device as the type of work that can be finally confirmed by the blockchain node server, or may be manually selected. The method selects several types of work that satisfy the user's specific wishes from among all types of work that a hardware device can handle as the type of work that can ultimately be confirmed by the blockchain node server.

It should be noted that the embodiment may specifically limit various hardware devices that can participate in mining according to the industry attributes corresponding to the blockchain network. In this embodiment, if the blockchain network is a blockchain network that is open to any sub-sector, the multiple hardware devices that can participate in mining in this embodiment may be from different sub-sectors, that is, not Restrictions of the industry; assuming that the blockchain network in this embodiment is a blockchain network that is only for a single sub-sector, the various hardware devices that can participate in mining in this embodiment are from the segment. A variety of hardware devices.

For example, for a blockchain network that is only for the automotive industry, the various hardware devices that can participate in mining in this embodiment may specifically include an OBD box that collects vehicle state data, and the work type is to analyze vehicle state data. The first in-vehicle device, the work type is a meter for collecting vehicle transaction consumption records, the second type of in-vehicle device for which the work type is the vehicle transaction consumption record, and the handheld mobile terminal for which the work type is the vehicle diagnosis report.

In this embodiment, the blockchain node server allocates different consensus algorithms for hardware devices of different working types. After the hardware device obtains the corresponding consensus algorithm, the consensus algorithm will allow the hardware device to obtain the accounting rights after completing the work of the corresponding type and satisfying the preset condition. It can be understood that after any hardware device obtains the accounting right in a certain round of work, it will have the right to submit the corresponding workload to the blockchain node server, that is, to have the corresponding workload packaged into the block. right.

Step S12: Acquire a corresponding workload submitted by the hardware device after obtaining the corresponding billing right.

In this embodiment, after any hardware device completes the work of the corresponding type and meets the preset condition in a certain round of work, the corresponding billing right may be obtained, and the hardware device is obtained by virtue of the obtained billing right. The corresponding workload in the current working process can be submitted to the blockchain node server, so that the blockchain node server rewards the user account corresponding to the hardware device according to the point reward consensus corresponding to the type of the acquired workload. Points. It can be understood that the types of different workloads in this embodiment correspond to different types of work.

It can be understood that, for a hardware device whose work type is data analysis, after obtaining the corresponding billing right, the submitted workload may specifically be a data analysis result indicating the degree of work effort of the hardware device. . For a hardware device whose work type is data collection, after the corresponding billing right is obtained, the submitted workload may specifically be a data collection result indicating the degree of work effort of the hardware device.

Step S13: determining a point corresponding to the workload submitted by the hardware device according to a preset point reward consensus corresponding to the type of the workload, and transferring the point to a user account corresponding to the corresponding hardware device, and then Carry out corresponding registration and broadcast on the whole network.

It can be understood that the block chain node server stores different preset point reward consensus corresponding to different types of workloads. It can be understood that the above-mentioned preset point reward consensus is a rule for how to perform a point reward in advance for a certain type of workload. For different types of workloads, the reward points specified in the corresponding preset rewards consensus will vary. Usually, if a type of workload needs to consume more computing resources, the corresponding reward points will be more. Similarly, if a type of workload needs to consume less computing resources, then the corresponding There will be fewer bonus points.

In this embodiment, each hardware device corresponds to one user account, and the same user account may correspond to multiple hardware devices, wherein multiple hardware devices under the same user account may specifically package multiple working types of hardware devices. , can also be multiple hardware devices belonging to the same work type. It can be understood that in order for a certain hardware device to participate in mining, the user needs to register the information of the corresponding hardware device with the blockchain network after logging in to the blockchain network, so that the hardware device obtains legal mining rights.

In this embodiment, after the corresponding points are transferred to the corresponding user accounts, registration and full network broadcast are required to notify the other points of the blockchain network to all the nodes in the blockchain network.

It can be seen that, according to different working types of hardware devices, the embodiments of the present application allocate different consensus algorithms for different hardware devices, so that hardware devices of different working types can participate in the mining process based on their working characteristics, thereby The corresponding points are obtained, thereby avoiding the problem of low mining efficiency in the prior art due to the fact that mining can only be performed by a single hardware. That is, the types of hardware devices involved in mining in the embodiments of the present application may be various, and are not limited to a specific hardware device, so that one user can simultaneously participate in mining using a plurality of hardware devices. For individual users, due to the variety of hardware devices that can participate in mining, the user can integrate more computing resources to participate in mining, improve mining efficiency, and thus obtain more points rewards; For the blockchain network, because it breaks the current situation that only allows a single hardware device to participate in mining, the user can use different types of hardware devices to participate in mining to obtain points rewards, thereby attracting more worldwide The computational resources involved in mining have greatly promoted the rapid development of this blockchain network.

As shown in FIG. 2, the embodiment of the present application discloses a specific blockchain node service method, including:

Step S21: Determine a working type of the hardware device, and determine, from the first preset mapping library, a consensus algorithm corresponding to the working type of the hardware device.

The first preset mapping library is used to record different consensus algorithms corresponding to different work types.

In this embodiment, different consensus algorithms corresponding to different work types are recorded in the first preset mapping library. After determining the working type of any hardware device, the first preset mapping library may be searched out. Corresponding consensus algorithm.

In a specific implementation, the determining the working type of the hardware device may include: acquiring a device type sent by the hardware device, and determining, from the second preset mapping library, a device type corresponding to the device type job type. The second preset mapping library is configured to record different work types corresponding to different device types.

It can be understood that different types of hardware devices of different device types may have different types of work, for example, hardware devices based on CPU (ie, Central Processing Unit), and GPU-based (ie, Graphics Processing Unit). Hardware devices for calculation, hardware devices based on FPGA (Field-Programmable Gate Array), and hardware devices based on ASIC (Application Specific Integrated Circuits), each of which has a different type of work. . In this embodiment, the foregoing second preset mapping library may be created according to the working type that the hardware devices of different device types are good at, so that the hardware devices of different device types can be obtained in the process of completing the work that they are good at. Reward points.

In another specific implementation, the determining the working type of the hardware device may include: determining a working type of the hardware device by directly acquiring a working type sent by the hardware device.

That is, the blockchain node server in this embodiment can determine the working type of the hardware device by directly acquiring the manner in which the hardware device sends the work type. It can be understood that the hardware device needs to determine the corresponding work type before sending the work type. Specifically, the hardware device in this embodiment may specifically select a work type that satisfies the manual input screening condition from all types of work that can be processed by itself, and then send the selected work type to the blockchain node server; In the embodiment, the hardware device may specifically select a work type that satisfies the system preset filter condition from all types of work that can be processed by itself, and then send the selected work type to the blockchain node server.

Step S22: Allocating the determined consensus algorithm to the corresponding hardware device, so that the hardware device obtains corresponding billing rights after completing the corresponding type of work satisfying the preset condition.

In this embodiment, the working that meets the preset condition may include: obtaining a data collection result that satisfies the first preset condition in the data collection process; and/or obtaining the second in the data analysis process. Pre-condition data analysis results work.

The data collection result that satisfies the first preset condition may specifically be the data collection result of the preset type data, or the data collection and collection result of the data collection amount per unit time greater than the preset collection quantity threshold, or unit time The amount of data collected is the most data acquisition result among all hardware devices of the same working type.

The data analysis result satisfying the second preset condition may specifically mean that the data analysis accuracy per unit time is the highest data analysis result among all the hardware devices of the same working type, or the total amount of data of the data analysis result per unit time is at all. Among the hardware types of work types, the most data analysis results.

Step S23: Acquire a corresponding workload submitted by the hardware device after obtaining the corresponding billing right.

Step S24: determining a point corresponding to the workload submitted by the hardware device according to a preset point reward consensus corresponding to the type of the workload, and transferring the point to a user account corresponding to the corresponding hardware device, and then Carry out corresponding registration and broadcast on the whole network.

For the specific content of the above steps S23 and S24, reference may be made to the corresponding content disclosed in the foregoing embodiments, and details are not described herein again.

As shown in FIG. 3, the embodiment of the present application discloses a specific blockchain node service method, including:

Step S31: Send the third preset mapping library to the hardware device, so that the hardware device matches the corresponding consensus algorithm from the third preset mapping library according to its own working type.

The third preset mapping library is used to record different consensus algorithms corresponding to different work types.

That is, the blockchain node server in this embodiment records different consensus algorithms corresponding to different work types in the third preset mapping library in advance. And then sending the third preset mapping library to the hardware device, so that the hardware device can match the corresponding consensus algorithm from the third preset mapping library according to the working type of the device, based on the matched consensus algorithm, the hardware device It is possible to obtain the corresponding billing rights after completing the work of the corresponding type and satisfying the preset conditions.

Step S32: Acquire a corresponding workload submitted by the hardware device after obtaining the corresponding billing right.

Step S33: determining a point corresponding to the workload submitted by the hardware device according to a preset point reward consensus corresponding to the type of the workload, and transferring the point to a user account corresponding to the corresponding hardware device, and then Carry out corresponding registration and broadcast on the whole network.

For the specific content of the above steps S32 and S33, reference may be made to the corresponding content disclosed in the foregoing embodiments, and details are not described herein again.

Referring to FIG. 4, an embodiment of the present application discloses a specific blockchain node service method, including:

Step S41: Acquire a user registration request, and assign a unique user account to the corresponding user.

It can be understood that in this embodiment, the user can send a user registration request to the blockchain node server through any hardware device owned by the user. After obtaining the user registration request, the blockchain node server determines whether the user registration request is a valid user registration request, and if so, assigns the user a unique user account, and if not, sends the user registration request to the user. The hardware device returns a corresponding prompt message to prompt the user to have a problem with the current user registration request, so that the user can resubmit the corrected user registration request.

In step S42, when the user account is in the login state, the registration request of the plurality of hardware devices corresponding to the user account is obtained, and different device identifiers are assigned to different hardware devices.

In this embodiment, the user may separately log in to the corresponding user account in each hardware device, and then each hardware device initiates a corresponding registration request to the blockchain node server. In order to speed up the hierarchical speed of the hardware device, in this embodiment, after the user logs in the corresponding user account on any hardware device, the registration request of all the hardware devices under the user account name is sent to the block through the hardware device. Chain node server. It can be understood that the device communication address of the corresponding hardware device is included in each registration request.

Step S43: Record the user account and the corresponding device identifiers of the plurality of hardware devices to obtain a fourth preset mapping library.

In this embodiment, after the user registration and the hardware device registration are completed, the blockchain node server records the user account and the device identifiers of the plurality of hardware devices corresponding to the user account in the fourth preset mapping library.

Step S44: Allocating different consensus algorithms for hardware devices with different working types, so that the hardware device obtains corresponding billing rights after completing corresponding work of the corresponding type.

Step S45: Acquire a corresponding workload submitted by the hardware device after obtaining the corresponding billing right.

For the specific processes of the foregoing steps S44 and S45, reference may be made to the corresponding content disclosed in the foregoing embodiments, and details are not described herein again.

Step S46: determining, according to a preset point reward consensus corresponding to the type of the workload, a score corresponding to the workload submitted by the hardware device, and determining, by using the fourth preset mapping library, a device identifier of the hardware device. The corresponding user account is transferred to the user account, and then registered and broadcasted throughout the network.

Further, in order to attract more computing resources to the mining process, the blockchain node service method in this embodiment further includes:

Counting, by the sum of the workloads submitted by all the hardware devices corresponding to the same user account in a preset time period, determining whether the sum is less than a preset total threshold, and if so, triggering corresponding prompt information to prompt The corresponding user takes measures to improve the efficiency of the points. For example, the user may be prompted to add various hardware devices under the account name to the mining pool, so as to jointly mine with various hardware devices under other user account names and obtain corresponding points in proportion, or prompt the user to use cloud computing power to Mining is carried out to improve the efficiency of point acquisition.

The following takes the blockchain network of the automobile industry as an example to specifically describe the blockchain node service method in this application.

First, the blockchain node server receives the user's registration request and assigns the user a unique user account.

Then, after detecting that the user logs in to the user account, receiving a registration request of multiple hardware devices of the user, and assigning a unique device identifier to each hardware device. At the same time, the user account is bound to the device identifier of multiple hardware devices for storage. For example, when the owner registers as a user of the blockchain, the owner can register the in-vehicle device of his own vehicle, the OBD box, the owner's handheld mobile terminal such as a mobile phone, etc. in the blockchain.

Then, the blockchain node server is based on the integration (virtual currency) issuance rule, and allocates a corresponding consensus algorithm to the hardware device according to the matching table between the preset hardware device and the consensus algorithm. The matching table between the hardware device and the consensus algorithm may be flexibly set based on the working type of the hardware device. The working table of the hardware device reflects the different processing capabilities of the hardware device for the transaction. Specifically, the hardware device can flexibly set different processing functions of the transaction.

For example, the working type of the in-vehicle device is to analyze various vehicle state data and automobile transaction consumption records, and obtain corresponding data analysis results, and the in-vehicle device processing function for the transaction is to package the data analysis result, if the data analysis result is satisfied. According to the corresponding preset condition, the above-mentioned in-vehicle device will have the billing right to pack the data analysis result into the block, and then obtain the score.

For example, the working type of the OBD box is specifically collecting various vehicle state data, and the processing function of the OBD box for the transaction is to package the data collection result that meets the requirements of the automobile blockchain, that is, the OBD box can be used in this embodiment. The corresponding consensus algorithm is set as a consensus algorithm based on the data collection result. When the data collection result satisfies the corresponding preset condition, the OBD box will have the accounting right to package the data collection result into the block, for example, if one In the case that the total amount of data of the vehicle status data collected by the OBD box in accordance with the requirements of the car blockchain is the largest among all OBD boxes, the OBD box will have the right to package the data collected by itself into the block. And get points.

For example, the working type of the handheld mobile terminal of the vehicle owner is specifically to obtain a diagnosis report, and the processing function of the mobile terminal of the vehicle owner for the transaction is to package the diagnostic report that meets the requirements of the automobile blockchain, that is, the embodiment can The consensus algorithm corresponding to the mobile terminal of the vehicle owner is set as a consensus algorithm based on the diagnosis report obtained by the owner's handheld mobile terminal. When the diagnosis report acquisition result satisfies the corresponding preset condition, the vehicle owner handheld mobile terminal will have the obtained above. The diagnostic report is packaged into the billing rights of the block. For example, if the total amount of data of a diagnostic report that meets the requirements of the car blockchain acquired by a vehicle owner's handheld mobile terminal per unit time is the most common among all the host mobile terminals. Next, the owner-held mobile terminal will have the right to package the diagnostic report obtained by itself into the block, and then obtain the points.

Further, after obtaining the workload submitted by each hardware device, the blockchain node server allocates corresponding points (virtual currency) for each hardware device according to the pre-achieved point reward consensus, and transfers the real-time points (virtual currency). The user account bound to the hardware device is then registered and broadcasted throughout the network.

Further, referring to FIG. 5, the embodiment of the present application further discloses a mining method applied to hardware devices, including:

Step S51: Acquire a corresponding consensus algorithm allocated by the blockchain node server according to the working type of the hardware device;

Step S52: Acquire a corresponding billing right after completing the corresponding work satisfying the preset condition based on the consensus algorithm, and then submit a corresponding workload to the blockchain node server; wherein the block chain node server After obtaining the workload submitted by the hardware device, determining a score corresponding to the workload submitted by the hardware device according to a preset credit reward consensus corresponding to the type of the workload;

Step S53: Acquire the points corresponding to the submitted workload transferred by the blockchain node server; wherein the block chain node server performs corresponding registration and network broadcast after transferring the points to the hardware device. .

In a specific implementation, before the acquiring the consensus algorithm that is allocated by the blockchain node server according to the working type of the hardware device, the method further includes:

A work type that satisfies the manually input filter condition is selected from all types of work that the hardware device can handle, and the filtered work type is sent to the block chain node server.

In another specific implementation manner, before the obtaining the corresponding consensus algorithm that is allocated by the block chain node server according to the working type of the hardware device, the method further includes:

A work type that satisfies a system preset filter condition is selected from all types of work that the hardware device can handle, and the filtered work type is sent to the block chain node server.

For a more specific process of the above various steps, reference may be made to the corresponding content disclosed in the foregoing embodiments, and details are not described herein again.

Correspondingly, as shown in FIG. 6, the embodiment of the present application further discloses a blockchain node service device, which is applied to a blockchain node server, and includes:

The consensus algorithm assigning module 11 is configured to allocate different consensus algorithms for hardware devices with different working types, so that the hardware device obtains corresponding billing rights after completing corresponding work of the corresponding type;

The workload obtaining module 12 is configured to obtain a corresponding workload submitted by the hardware device after obtaining the corresponding billing right;

The point reward module 13 is configured to determine, according to a preset point reward consensus corresponding to the type of the workload, a score corresponding to the workload submitted by the hardware device, and transfer the point to the corresponding hardware device User account, then register accordingly and broadcast the entire network.

In a specific implementation, the consensus algorithm allocation module 11 may specifically include:

a work type determining unit, configured to determine a work type of the hardware device;

a consensus algorithm allocation unit, configured to determine, from the first preset mapping library, a consensus algorithm corresponding to the working type of the hardware device, and allocate the determined consensus algorithm to the corresponding hardware device;

In this embodiment, the work type determining unit may be specifically configured to obtain a device type sent by the hardware device, and then determine, from the second preset mapping library, a work type corresponding to the device type; The second preset mapping library is used to record different work types corresponding to different device types. In addition, the work type determining unit may be specifically configured to determine a working type of the hardware device by directly acquiring a work type sent by the hardware device.

In another specific implementation, the consensus algorithm allocation module 11 may specifically include:

a mapping library sending unit, configured to send a third preset mapping library to the hardware device, so that the hardware device matches a corresponding consensus algorithm from the third preset mapping library according to its working type; The third preset mapping library is used to record different consensus algorithms corresponding to different work types.

In this embodiment, the work that meets the preset condition may specifically include:

The work of obtaining the data collection result satisfying the first preset condition in the data acquisition process; and/or the work of obtaining the data analysis result satisfying the second preset condition in the data analysis process.

Further, the blockchain node service device in this embodiment may further include:

a first request response module, configured to obtain a user registration request, and assign a unique user account to the corresponding user;

a second request response module, configured to acquire, when the user account is in a login state, a registration request of multiple hardware devices corresponding to the user account, and assign different device identifiers to different hardware devices;

The information recording module is configured to record the user account and the corresponding device identifier of the plurality of hardware devices.

a workload statistics module, configured to collect a sum of workloads submitted by all the hardware devices corresponding to the same user account in a preset time period;

The prompting module is configured to determine whether the sum is less than a preset sum threshold, and if yes, trigger corresponding prompt information to prompt the corresponding user to take measures to improve the point acquisition efficiency.

For a more specific working process of each module described above, reference may be made to the corresponding content disclosed in the foregoing embodiments, and details are not described herein.

Correspondingly, as shown in FIG. 7 , the embodiment of the present application further discloses a mining device applied to hardware devices, including:

The consensus algorithm obtaining module 21 is configured to obtain a corresponding consensus algorithm allocated by the block chain node server according to the working type of the hardware device;

The workload submission module 22 is configured to obtain a corresponding billing right after completing the corresponding work satisfying the preset condition based on the consensus algorithm, and then submit a corresponding workload to the blockchain node server; After obtaining the workload submitted by the hardware device, the blockchain node server determines, according to a preset credit reward consensus corresponding to the type of the workload, a score corresponding to the workload submitted by the hardware device;

The point obtaining module 23 is configured to acquire an integral corresponding to the submitted workload transferred by the block chain node server, where the block chain node server performs corresponding registration after transferring the point to the hardware device And the whole network broadcast.

Further, the mining device in this embodiment may further include:

a first work type selection module, configured to: before the consensus algorithm acquisition module 21 acquires a corresponding consensus algorithm allocated by the block chain node server according to the work type of the hardware device, all types of the types that can be processed by the hardware device At work, a work type that satisfies the manually input filter condition is selected, and the filtered work type is sent to the block chain node server.

Further, the mining device in this embodiment may further include:

a second work type selection module, configured to: before the consensus algorithm acquisition module 21 acquires a corresponding consensus algorithm allocated by the block chain node server according to the work type of the hardware device, all types of the types that can be processed by the hardware device At work, a work type that satisfies the system preset filter condition is selected, and the filtered work type is sent to the block chain node server.

Further, referring to FIG. 8, the present application further discloses a blockchain node server, including a processor 31 and a memory 32. The processor 31 implements the foregoing when executing a computer program saved in the memory 32. Public blockchain node service method.

Specifically, when the processor 31 executes the computer program saved in the memory 32, the following steps may be implemented:

Assigning different consensus algorithms to the hardware devices of different working types, so that the hardware device obtains corresponding billing rights after completing corresponding work of the corresponding type; obtaining the hardware device after obtaining the corresponding billing rights Corresponding workload submitted; determining a score corresponding to the workload submitted by the hardware device according to a preset credit reward consensus corresponding to the type of the workload, and transferring the credit to the corresponding hardware device User account, then register accordingly and broadcast the entire network.

In this embodiment, when the processor 31 executes the computer subroutine saved in the memory 32, the following steps may be specifically implemented: determining a working type of the hardware device; determining a location from the first preset mapping library. a consensus algorithm corresponding to the working type of the hardware device, and the determined consensus algorithm is allocated to the corresponding hardware device; wherein the first preset mapping library is used to record different consensus algorithms corresponding to different work types .

In this embodiment, when the processor 31 executes the computer subroutine saved in the memory 32, the following steps may be specifically implemented: acquiring the device type sent by the hardware device; determining the The work type corresponding to the device type; wherein the second preset mapping library is used to record different work types corresponding to different device types.

In this embodiment, when the processor 31 executes the computer subroutine saved in the memory 32, the following steps may be specifically implemented: determining the working of the hardware device by directly acquiring the working type sent by the hardware device. Types of.

In this embodiment, when the processor 31 executes the computer subroutine saved in the memory 32, the following steps may be specifically implemented: sending a third preset mapping library to the hardware device, so that the hardware device according to the The work type matches the corresponding consensus algorithm from the third preset mapping library; wherein the third preset mapping library is used to record different consensus algorithms corresponding to different work types.

In this embodiment, when the processor 31 executes the computer subroutine saved in the memory 32, the following steps may be further implemented: acquiring a user registration request, and assigning a unique user account to the corresponding user; In the login state, a registration request of a plurality of hardware devices corresponding to the user account is obtained, and different device identifiers are assigned to different hardware devices; and the user accounts and corresponding device identifiers of the plurality of hardware devices are recorded.

In this embodiment, when the processor 31 executes the computer subroutine saved in the memory 32, the following steps may be further implemented: collecting all the hardware devices corresponding to the same user account and submitting in a preset time period. The sum of the workloads; determining whether the sum is less than a preset sum threshold, and if so, triggering corresponding prompt information to prompt the corresponding user to take measures to improve the point acquisition efficiency.

It can be understood that the blockchain node server further includes an input interface 33, an output interface 34, a power source 35, a communication chip 36, and the like.

For a more specific process of the above-mentioned blockchain node service method, reference may be made to the corresponding content disclosed in the foregoing embodiment, and details are not described herein again.

Further, referring to FIG. 9, the present application further discloses a hardware device, including a processor 41 and a memory 42; wherein the processor 41 implements the foregoing disclosed digging when executing the computer program saved in the memory 42. Mining method.

Specifically, when the processor 41 executes the computer program saved in the memory 42, the following steps can be implemented:

Acquiring a corresponding consensus algorithm allocated by the blockchain node server according to the work type of the hardware device; acquiring the corresponding billing right after completing the corresponding work satisfying the preset condition, and then going to the block The chain node server submits a corresponding workload; wherein, after obtaining the workload submitted by the hardware device, the block chain node server determines the hardware with the preset point reward consensus corresponding to the type of the workload The integral corresponding to the workload submitted by the device; obtaining the integral corresponding to the submitted workload transferred by the blockchain node server; wherein the blockchain node server performs corresponding after transferring the credit to the hardware device Registration and full network broadcast.

In this embodiment, when the processor 41 executes the computer subroutine saved in the memory 42, the following steps may be further implemented: acquiring a corresponding consensus algorithm according to the working type of the hardware device in the blockchain node server. Previously, a work type that satisfies the manually entered filter condition is selected from all types of work that the hardware device can handle, and the filtered work type is sent to the block chain node server.

In this embodiment, when the processor 41 executes the computer subroutine saved in the memory 42, the following steps may be further implemented: acquiring a corresponding consensus algorithm according to the working type of the hardware device in the blockchain node server. Previously, a work type that satisfies the system preset filter condition is selected from all types of work that the hardware device can handle, and the filtered work type is sent to the block chain node server.

It can be understood that the foregoing hardware device further includes an input interface 43, an output interface 44, a power source 45, a communication chip 46, and the like.

It should be noted that, in this embodiment, the hardware device that can participate in the mining in this embodiment may be specifically limited according to the industry attribute corresponding to the blockchain network. In this embodiment, if the blockchain network is a blockchain network that is open to any sub-sector, the hardware devices that can participate in mining in this embodiment may be from different sub-sectors, that is, not subdivided. The limitation of the industry; assuming that the blockchain network in this embodiment is a blockchain network that is only for a single sub-sector, the hardware device that can participate in the mining in this embodiment may specifically be from the segment industry. hardware equipment.

For example, for a blockchain network only for the automotive industry, the hardware device in this embodiment includes: an OBD box whose work type is to collect vehicle state data; and/or, the work type is to analyze vehicle state data. a first in-vehicle device; and/or a work type of a meter that collects a vehicle transaction consumption record; and/or a second in-vehicle device that analyzes a vehicle transaction consumption record; and/or, the work type is an acquisition vehicle Handheld mobile terminal for diagnostic reporting.

For a more specific process of the above mining method, reference may be made to the corresponding content disclosed in the foregoing embodiments, and details are not described herein.

Further, the present application also discloses a mining system comprising a blockchain node server as disclosed in the foregoing and a plurality of hardware devices as disclosed in the foregoing.

Further, the present application further discloses a computer readable storage medium for storing a blockchain node service program; wherein the blockchain node service program is executed by a processor to implement a blockchain node as disclosed in the foregoing Service method.

Further, the present application also discloses a computer readable storage medium for storing a mining program; wherein the mining program is executed by a processor to implement a mining method as disclosed above.

The various embodiments in the specification are described in a progressive manner, and each embodiment focuses on differences from other embodiments, and the same or similar parts of the respective embodiments may be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

A person skilled in the art will further appreciate that the elements and algorithm steps of the various examples described in connection with the embodiments disclosed herein can be implemented in electronic hardware, computer software or a combination of both, in order to clearly illustrate the hardware and software. Interchangeability, the composition and steps of the various examples have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the solution. A person skilled in the art can use different methods to implement the described functions for each particular application, but such implementation should not be considered to be beyond the scope of the present application.

The steps of a method or algorithm described in connection with the embodiments disclosed herein can be implemented directly in hardware, a software module executed by a processor, or a combination of both. The software module can be placed in random access memory (RAM), memory, read only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or technical field. Any other form of storage medium known.

Finally, it should also be noted that in this context, relational terms such as first and second are used merely to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply these entities. There is any such actual relationship or order between operations. Furthermore, the term "comprises" or "comprises" or "comprises" or any other variations thereof is intended to encompass a non-exclusive inclusion, such that a process, method, article, or device that comprises a plurality of elements includes not only those elements but also Other elements, or elements that are inherent to such a process, method, item, or device. An element that is defined by the phrase "comprising a ..." does not exclude the presence of additional equivalent elements in the process, method, item, or device that comprises the element.

The above describes a blockchain node service, mining method, device, device, system and medium provided by the present application. The specific examples are used to explain the principle and implementation manner of the present application. The description of the examples is only for helping to understand the method of the present application and its core ideas; at the same time, for those of ordinary skill in the art, according to the idea of the present application, there will be changes in specific embodiments and application scopes. The description is not to be construed as limiting the present application.

Claims

A blockchain node service method, which is characterized by being applied to a blockchain node server, comprising:

Assigning different consensus algorithms to hardware devices of different working types, so that the hardware device obtains corresponding billing rights after completing corresponding work of the corresponding type;

Obtaining a corresponding workload submitted by the hardware device after obtaining corresponding billing rights;

Determining a score corresponding to the workload submitted by the hardware device according to a preset credit reward consensus corresponding to the type of the workload, and transferring the credit to a user account corresponding to the corresponding hardware device, and then performing corresponding Register and broadcast on the whole network.
The blockchain node service method according to claim 1, wherein the hardware devices of different working types are assigned different consensus algorithms, including:

Determining a type of work of the hardware device;

Determining, from the first preset mapping library, a consensus algorithm corresponding to the working type of the hardware device, and assigning the determined consensus algorithm to the corresponding hardware device;

The first preset mapping library is used to record different consensus algorithms corresponding to different work types.
The blockchain node service method according to claim 2, wherein the determining the working type of the hardware device comprises:

Obtaining a device type sent by the hardware device;

Determining a work type corresponding to the device type from the second preset mapping library;

The second preset mapping library is configured to record different work types corresponding to different device types.
The blockchain node service method according to claim 2, wherein the determining the working type of the hardware device comprises:

The working type of the hardware device is determined by directly obtaining the type of work sent by the hardware device.
The blockchain node service method according to claim 1, wherein the hardware devices of different working types are assigned different consensus algorithms, including:

Sending a third preset mapping library to the hardware device, so that the hardware device matches the corresponding consensus algorithm from the third preset mapping library according to its working type;

The third preset mapping library is used to record different consensus algorithms corresponding to different work types.
The blockchain node service method according to claim 1, wherein the work satisfying the preset condition comprises:

Obtaining the data collection result that satisfies the first preset condition in the data collection process;

And/or, the work of obtaining the data analysis result satisfying the second preset condition in the data analysis process.
The block chain node service method according to any one of claims 1 to 6, further comprising:

Obtain a user registration request and assign a unique user account to the corresponding user;

Acquiring a registration request of multiple hardware devices corresponding to the user account, and assigning different device identifiers to different hardware devices, when the user account is in a login state;

Recording the user account and the corresponding device identifier of the plurality of hardware devices.
The blockchain node service method according to claim 7, further comprising:

Counting, by a sum of workloads submitted by all the hardware devices corresponding to the same user account in a preset time period;

Determining whether the sum is less than a preset sum threshold, and if so, triggering corresponding prompt information to prompt the corresponding user to take measures to improve the point acquisition efficiency.
A mining method, characterized in that it is applied to a hardware device, including:

Obtaining a corresponding consensus algorithm allocated by the blockchain node server according to the working type of the hardware device;

Obtaining a corresponding billing right after completing the corresponding work satisfying the preset condition, and then submitting a corresponding workload to the blockchain node server; wherein the blockchain node server is obtained After the workload submitted by the hardware device, determining a score corresponding to the workload submitted by the hardware device according to a preset credit reward consensus corresponding to the type of the workload;

Acquiring the points corresponding to the submitted workload transferred by the blockchain node server; wherein the block chain node server performs corresponding registration and network-wide broadcasting after transferring the points to the hardware device.
The mining method according to claim 9, wherein before the obtaining the consensus algorithm assigned by the block chain node server according to the working type of the hardware device, the method further includes:

A work type that satisfies the manually input filter condition is selected from all types of work that the hardware device can handle, and the filtered work type is sent to the block chain node server.
The mining method according to claim 9, wherein before the obtaining the consensus algorithm assigned by the block chain node server according to the working type of the hardware device, the method further includes:

A work type that satisfies a system preset filter condition is selected from all types of work that the hardware device can handle, and the filtered work type is sent to the block chain node server.
A blockchain node service device, which is characterized by being applied to a blockchain node server, comprising:

a consensus algorithm allocation module, configured to allocate different consensus algorithms for hardware devices with different working types, so that the hardware device obtains corresponding billing rights after completing corresponding work of the corresponding type;

a workload acquisition module, configured to acquire a corresponding workload submitted by the hardware device after obtaining the corresponding billing right;

a point reward module, configured to determine, according to a preset point reward consensus corresponding to the type of the workload, a score corresponding to the workload submitted by the hardware device, and transfer the point to a user corresponding to the corresponding hardware device The account number is then registered and broadcasted throughout the network.
A mining device, characterized in that it is applied to a hardware device, including:

a consensus algorithm obtaining module, configured to acquire a corresponding consensus algorithm allocated by the blockchain node server according to the working type of the hardware device;

a workload submission module, configured to acquire a corresponding billing right after completing the corresponding work satisfying the preset condition, and then submit a corresponding workload to the blockchain node server; wherein the area is After obtaining the workload submitted by the hardware device, the block chain node server determines a score corresponding to the workload submitted by the hardware device according to a preset credit reward consensus corresponding to the type of the workload;

a point obtaining module, configured to acquire an integral corresponding to the submitted workload transferred by the blockchain node server; wherein the block chain node server performs corresponding registration after transferring the point to the hardware device Full network broadcast.
A blockchain node server, comprising: a processor and a memory; wherein the processor implements the blockchain according to any one of claims 1 to 8 when executing a computer program stored in the memory Node service method.
A hardware device, comprising: a processor and a memory; wherein the mining method of any one of claims 9 to 11 is implemented when the processor executes a computer program stored in the memory.
The hardware device according to claim 15, wherein the hardware device comprises:

The job type is an OBD box that collects vehicle status data;

And/or, the work type is a first onboard device that analyzes vehicle status data;

And/or, the work type is a meter for collecting vehicle transaction consumption records;

And/or, the work type is a second in-vehicle device that analyzes the vehicle transaction consumption record;

And/or, the type of work is a handheld mobile terminal that obtains a vehicle diagnostic report.
A mining system characterized by comprising the blockchain node server according to claim 14 and a plurality of hardware devices according to claim 15 or 16 having different types of work.
A computer readable storage medium for storing a blockchain node service program, wherein the blockchain node service program is executed by a processor to implement the method of any one of claims 1 to Blockchain node service method.
A computer readable storage medium for storing a mining program; wherein the mining program is executed by a processor to implement the mining method of any one of claims 9 to 11.