CN112053090A - Flexible employment data processing method, device and system based on block chain - Google Patents
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Abstract
The invention discloses a block chain-based flexible labor data processing method, a device and a system, which are applied to a block chain network, wherein the block chain network comprises a plurality of shared human resource system nodes, and the shared human resource system nodes are used for receiving finished workload data uploaded by worker nodes, and the method comprises the following steps: according to the first preset interval time, finished workload data of each worker in the shared human resource system nodes are obtained, and the finished workload data are stored in a block chain according to a target format; according to the identification information of the worker nodes and according to a second preset interval time, finished workload data of corresponding workers in the shared human resource system nodes are obtained, and the finished workload data are stored into the block chain according to a target format; and according to a first preset intelligent contract for detecting the abnormality, performing abnormality detection on the completed workload data acquired in different preset interval time in the block chain.
Description
Technical Field
The invention relates to the technical field of block chains, in particular to a block chain-based flexible employment data processing method, device and system.
Background
The flexible employment is a growth product in the field of talent dispatching service, and is a form of flexibly allocating workers by determining the number of dispatched workers and dispatching period and screening the dispatched talents based on the employment requirement of an employment unit. Generally, a centralized flexible employment management system is adopted, an employment unit publishes employment requirement information on the system, the system centralizes and maintains the human resource information of available workers in batches in advance, automatic matching is carried out according to the requirement published by the employment unit, and the workers to be recorded are determined. The centralized flexible employment management system records the workload data of the workers in the whole requirement task completion process so as to be used for summarizing and settling the labor achievements of the workers subsequently.
In the related technology, a centralized flexible employment management system is relied on to store workload data of workers in a flexible employment mode, so that the risk that the data are easily tampered exists, and the employment contradiction or dispute may be caused by inconsistency of data of the two workers in the statistics of labor results of employment units and the workers. Therefore, a new flexible employment data processing method is urgently needed to be provided to improve the safety and the reliability of the employment data stored in the flexible employment mode.
Disclosure of Invention
Therefore, the technical problem to be solved by the invention is to overcome the defects that data is easy to be distorted, the safety of stored labor data is poor and the reliability is low due to the existing flexible labor data storage mode based on the centralization technology, so that the block chain-based flexible labor data processing method, the block chain-based flexible labor data processing device and the block chain-based flexible labor data processing system are provided.
According to a first aspect, an embodiment of the present invention discloses a flexible labor data processing method based on a blockchain, which is applied to a blockchain network, where the blockchain network includes a plurality of shared human resource system nodes, and the shared human resource system nodes are configured to receive completed workload data uploaded by worker nodes, and the method includes: according to a first preset interval time, finished workload data of each worker in the shared human resource system nodes are obtained, and the finished workload data are stored in a block chain according to a target format; acquiring finished workload data of corresponding workers in the shared human resource system nodes according to the identification information of the worker nodes and second preset interval time, and storing the finished workload data into a block chain according to a target format, wherein the first preset interval time is different from the second preset interval time; and according to a first preset intelligent contract for detecting the abnormality, performing abnormality detection on the completed workload data acquired in different preset interval time in the block chain.
Optionally, after performing anomaly detection on the completed workload data acquired within different preset interval times in the block chain according to the first preset anomaly detection intelligent contract, the method further includes: and when the abnormal information is not detected, carrying out fee settlement according to a preset fee settlement intelligent contract and the completed workload data acquired according to different preset interval time, and storing a settlement result into the block chain.
Optionally, the blockchain network further comprises a plurality of worker nodes; the method further comprises the following steps: receiving an information query request uploaded by a worker node passing authority verification, wherein the information query request comprises the worker node identification information; inquiring an intelligent contract according to the information inquiry request and preset information, and inquiring related information in a block chain account book; and feeding back the information query result to the corresponding worker node.
Optionally, the blockchain network further comprises a workload review node; the method further comprises the following steps: the completion condition evaluation processing is carried out on the completed workload data uploaded to the block chain, and evaluation workload is obtained; uniformly storing the evaluation workload and the corresponding completed workload into a block chain; and according to a second preset intelligent contract for detecting the abnormity of the evaluation workload corresponding to the completed workload data acquired in different preset interval time in the block chain.
According to a second aspect, an embodiment of the present invention further discloses a device for processing flexible labor data based on a blockchain, which is applied to a blockchain network, where the blockchain network includes a plurality of shared human resource system nodes, and the shared human resource system nodes are configured to receive completed workload data uploaded by worker nodes, where the device includes: the first acquisition module is used for acquiring the finished workload data of each worker in the shared human resource system node according to a first preset interval time and storing the finished workload data in a block chain according to a target format; a second obtaining module, configured to obtain completed workload data of a corresponding worker in the shared human resource system node according to the identifier information of the worker node and according to a second preset interval time, and store the completed workload data in a block chain according to a target format, where the first preset interval time is different from the second preset interval time; and the first detection module is used for carrying out abnormity detection on the finished workload data acquired in different preset interval time in the block chain according to a first preset abnormity detection intelligent contract.
According to a third aspect, an embodiment of the present invention further discloses a block chain-based flexible employment data processing system, including: the method comprises the following steps: a plurality of shared human resource system nodes for receiving completed workload data uploaded by worker nodes; a blockchain network platform, integrated in each node of the blockchain, respectively, for performing the steps of the blockchain-based flexible employment data processing method according to the first aspect or any optional implementation manner of the first aspect.
According to a fourth aspect, an embodiment of the present invention further discloses an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the steps of the method for blockchain-based flexible employment data processing according to the first aspect or any one of the optional embodiments of the first aspect.
According to a fifth aspect, the present invention further discloses a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the method for processing flexible labor data based on a blockchain according to the first aspect or any optional embodiment of the first aspect.
The technical scheme of the invention has the following advantages:
the method and the device for processing the flexible employment data based on the block chain receive the completed workload data uploaded by the worker nodes through the shared human resource system nodes, the block chain network respectively acquires the completed workload data of each worker in the shared human resource system nodes according to different preset interval time, stores the completed workload data in the block chain according to a target format, and detects the abnormality of the completed workload data acquired in the block chain within different preset interval time according to a first preset abnormality detection intelligent contract. The workload completed by the workers is stored by combining the block chain technology, the stored workload data is prevented from being tampered, meanwhile, the completed workload data with different intervals are stored for each worker, the completed workload data is detected by an intelligent contract for anomaly detection, the problem that the workload data stored in the block chain is inaccurate due to errors in a data chaining process is solved, the safety of the stored workload data is guaranteed, and meanwhile, the reliability of the stored workload data is improved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a specific example of a method for processing flexible employment data based on a block chain according to an embodiment of the present invention;
fig. 2 is a schematic block diagram of a specific example of a block chain-based flexible employment data processing apparatus according to an embodiment of the present invention;
FIG. 3 is a block diagram illustrating an exemplary embodiment of a block chain-based flexible employment data processing system;
FIG. 4 is a block diagram illustrating an exemplary embodiment of a block chain-based flexible employment data processing system;
fig. 5 is a diagram of a specific example of an electronic device in an embodiment of the invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; the two elements may be directly connected or indirectly connected through an intermediate medium, or may be communicated with each other inside the two elements, or may be wirelessly connected or wired connected. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
The embodiment of the invention discloses a block chain-based flexible employment data processing method which is applied to a block chain network, wherein the block chain network comprises a plurality of shared human resource system nodes, an employment unit is communicated with the shared human resource system nodes to issue employment demand information, such as work task description, completion requirements, time limit, completion quality standards and the like, and workers who use flexibly upload workloads after completing corresponding tasks of each person. The workload uploaded by the laborers can be directly the workload counted by the laborers and is directly uploaded to the shared human resource system node; or the description data of the completed workload can be obtained, the completed workload data is uploaded to the shared human resource system node after the description data is counted by the workload counting module, the shared human resource system node receives the completed workload data of the worker node, and the completed workload data is stored in the block chain. As shown in fig. 1, the method comprises the following steps:
For example, after the shared human resource system node receives the completed workload data uploaded by the worker node, the blockchain network may read the corresponding completed workload data from the shared human resource system node through the blockchain SDK according to a first preset interval time, where the first preset interval time may be in the order of seconds or minutes, or may be in other time levels. In order to ensure that the workload data can be uplinked in a short time and a high frequency and reduce the probability of tampering the workload data outside the chain, a smaller first preset interval time may be set, where the first preset interval time is 30s in this embodiment of the application.
For the stored workload data acquired according to the first preset interval time, a block chain API is called through a block chain SDK, such as a Rest API (Hyperbridge Fabric 0.6) or an RPC (Hyperbridge Fabric1.0+), the call of the intelligent contract for data uplink is completed, and then the completed workload data uplink is realized. The specific uplink process comprises the steps of carrying out transaction simulation on an initiated uplink transaction proposal through an endorsement node, packaging and sending transactions which pass the simulation to a sequencing node, sequencing and block discharging through the sequencing node, then finishing block discharging verification through a bookkeeping node, then performing block dropping, finishing work quantity data uplink operation, returning an uplink result to an uplink transaction initiator, and informing the uplink result. In order to ensure reliable uplink of workload data, in the embodiment of the present application, statistics are further performed on uplink results, if uplink fails, the uplink is tried again, and if multiple attempts still fail, an alarm can be issued to be processed by the block chain operation and maintenance platform.
The target format for storing the completed workload data into the blockchain includes, but is not limited to, a data uplink timestamp, a start time corresponding to the completed workload data counted in the current interval time, and the completed workload data in the current interval time. The skilled person of the application may also add other data segments in the current target format as needed, such as the worker node identifier corresponding to the completed workload data.
102, according to the identification information of the worker nodes, according to a second preset interval time, obtaining finished workload data of corresponding workers in the shared human resource system nodes, and storing the finished workload data into a block chain according to a target format, wherein the first preset interval time is different from the second preset interval time.
For example, the setting manner of the second preset interval is the same as the setting manner of the first preset interval, and the embodiment of the present application does not limit the specific size of the second preset interval, as long as it is ensured that the first preset interval is different from the second preset interval, which is not described herein again. Further, when the first preset interval time is shorter, in order to perform quick and batch reconciliation on the data of the shorter first preset interval time, a larger second preset interval time can be set, and the data error of the high-frequency uplink can be timely found by performing reconciliation through once reading the completed workload of the longer interval time, so that the accuracy of the data is guaranteed, wherein the second preset interval time is 1h in the embodiment of the application. The specific uplink mode is the same as the uplink mode for the completed workload obtained according to the first preset interval time, and is not described herein again. In order to avoid confusion between different workers and influence on the accuracy of a subsequent abnormal detection result when the workload data acquired in two different intervals are obtained, the workload data of the second preset interval can be acquired through the identification information of the worker node, so that the acquired workload data of the second preset interval and the acquired workload data of the first preset interval belong to the same worker.
103, according to a first preset intelligent contract for detecting the abnormality, performing abnormality detection on the completed workload data acquired in different preset interval time in the block chain
For example, the first preset anomaly detection intelligent contract may compare all the completed workload data acquired at the second preset interval (e.g. 1h) with the completed workload data acquired at the first preset interval (e.g. 30 s). Specifically, the sum of the completed workload of the uplink at intervals of 30s in one hour is obtained, and the sum M of the completed workload data of the high frequency uplink in 1h is obtained. And comparing the sum M with the finished workload N of the batch uplink within 1h, wherein if the value of M/N-1 < threshold (for example, the threshold can be 0.01%), the error is acceptable and the data on the chain is not abnormal. The detection mode of the first preset intelligent contract for anomaly detection is not limited in the embodiment of the application, and can be determined by a person skilled in the art according to actual needs. When the abnormity is detected, the alarm can be given to the block chain operation and maintenance platform.
The invention provides a block chain-based flexible labor data processing method, which comprises the steps of receiving finished workload data uploaded by worker nodes through a shared human resource system node, obtaining the finished workload data of each worker in the shared human resource system node according to different preset interval time by a block chain network, storing the finished workload data in a block chain according to a target format, and carrying out abnormity detection on the finished workload data obtained in different preset interval time in the block chain according to a first preset abnormity detection intelligent contract. The workload completed by the workers is stored by combining the block chain technology, the stored workload data is prevented from being tampered, meanwhile, the completed workload data with different intervals are stored for each worker, the completed workload data is detected by an intelligent contract for anomaly detection, the problem that the workload data stored in the block chain is inaccurate due to errors in a data chaining process is solved, the safety of the stored workload data is guaranteed, and meanwhile, the reliability of the stored workload data is improved. .
As an alternative embodiment of the present invention, after step 103, the method further comprises: and when the abnormal information is not detected, carrying out fee settlement according to a preset fee settlement intelligent contract and the completed workload data acquired according to different preset interval time, and storing a settlement result into the block chain.
For example, when no abnormal information is detected after the account checking, the fee settlement can be performed according to a preset fee settlement intelligent contract by combining the completed workload data acquired at different preset interval times. Specifically, the preset fee settlement intelligent contract can be provided with various and flexible distribution modes according to needs. Examples of several allocation patterns are as follows:
(1) setting different weight coefficients A according to different periods of working time, wherein the weight coefficient is set to be 1.2 at night, the weight coefficient is set to be 1 at daytime, and the weight coefficient is set to be 3 in legal festivals and holidays; specifically, the weights of the workload data completed by the workers at different working times can be determined according to the working time fields in the target format corresponding to the stored workload data of the workers, and further the cost settlement is performed by combining the specific cost information.
(2) Setting a weight coefficient B according to the difficulty of the work task, wherein the weight coefficient B is different from 1 to 10 if the weight coefficient of the common work difficulty is 0.8; specifically, the weight of the workload data completed by the worker can be determined according to the work task difficulty field in the target format corresponding to the stored workload data of the worker, and further the cost settlement is performed in combination with the specific cost information.
(3) And setting a weight coefficient C according to the scoring condition of the quality assessment standard finished by the preset workload, wherein the weight coefficient of 10 points is 1, the weight coefficient of 1 point is 0.5 and the like. Specifically, the weight of the workload data completed by the workers can be determined according to the quality assessment standard scoring field in the target format corresponding to the stored workload data of the workers, and further the cost settlement is performed in combination with specific cost information, wherein the scoring mode can be that an expert scoring node is set, the workload data uploaded to the block chain is scored through an expert, and the scoring result is stored in the scoring field in the target format.
Settlement methods with different distribution proportions, including but not limited to time period, workload difficulty, completion quality standard grading table and the like, can be realized through intelligent contracts, and can be determined by persons skilled in the art according to actual needs. After the intelligent contract settlement allocation proportion is set, the cost settlement result corresponding to the completed workload of each worker is stored in the block chain account book, and waiting for the workers with flexible employment to perform cost inquiry is performed.
As an optional embodiment of the present invention, the blockchain network further comprises a plurality of worker nodes; the method further comprises the following steps: receiving an information query request uploaded by a worker node passing authority verification, wherein the information query request comprises the worker node identification information; inquiring an intelligent contract according to the information inquiry request and preset information, and inquiring related information in a block chain account book; and feeding back the information query result to the corresponding worker node.
For example, workers participating in flexible employment may log into the blockchain business system through worker nodes, and submit transaction requests for completed workload queries or fee settlement result queries to the blockchain network. In order to avoid that the nodes in the non-blockchain network check data in the blockchain network at will and influence the data security in the blockchain, before the worker nodes upload the information query request, authority verification is performed on the worker nodes, the verification mode can be that identity verification is performed through a public/private key pair or the worker identity verification is performed through a mode of querying an identity token, and the authority verification mode is not limited in the embodiment of the application.
After the worker node passes the authority verification, an information query request is forwarded to the block chain SDK, the information query request can comprise the data type to be queried and the storage time of the data to be queried, the block chain SDK initiates a query request of corresponding data based on the worker node identification information, the block chain network executes a preset information query intelligent contract to query relevant information in the account book and returns the relevant information to the corresponding worker node, and meanwhile, the timestamp, the querier identification information and the query mode of the query are recorded in the block chain account book, so that the subsequent data use condition tracing is facilitated.
As an optional embodiment of the present invention, the blockchain network further comprises a workload review node; the method further comprises the following steps: the completion condition evaluation processing is carried out on the completed workload data uploaded to the block chain, and evaluation workload is obtained; uniformly storing the evaluation workload and the corresponding completed workload into a block chain; and according to a second preset intelligent contract for detecting the abnormity of the evaluation workload corresponding to the completed workload data acquired in different preset interval time in the block chain.
Illustratively, through setting the workload review node, the completed workload data on the storage to-be-blocked chain is reviewed, and the phenomenon that the worker node uploads the false workload data is avoided. Specifically, the workload evaluation node can evaluate according to the work task description, the completion requirement, the time limit and the completion quality standard in the labor demand information uploaded by the labor unit, and the evaluation standard is not limited in the embodiment of the application. And evaluating the acquired finished workload uploaded by any worker node through a plurality of workload evaluation nodes, and judging the finished workload to be qualified when the finished workload is considered to be qualified by the workload evaluation nodes more than a certain proportion. The same completed workload is evaluated through a plurality of workload evaluation nodes, so that cheating behaviors of any workload evaluation node are avoided, and the accuracy of evaluation results is guaranteed.
The obtained review workload and the corresponding completed workload are stored in a block chain in a unified manner, and the review workload corresponding to the completed workload data obtained in different preset interval times in the block chain can be subjected to anomaly detection according to a second preset anomaly detection intelligent contract, and the specific anomaly detection mode can be the same as the detection mode for detecting the intelligent contract according to the first preset anomaly, and is not described herein again. By carrying out anomaly detection on the evaluation workload obtained after evaluation, the data subjected to anomaly detection has a unified standard, and the accuracy and the reliability of an anomaly detection result are improved.
The embodiment of the invention also discloses a block chain-based flexible labor data processing device, which is applied to a block chain network, wherein the block chain network comprises a plurality of shared human resource system nodes, the shared human resource system nodes are used for receiving the finished workload data uploaded by the worker nodes, and as shown in fig. 2, the device comprises:
a first obtaining module 201, configured to obtain completed workload data of each worker in the shared human resource system node according to a first preset interval time, and store the completed workload data in a block chain according to a target format;
a second obtaining module 202, configured to obtain completed workload data of a corresponding worker in the shared human resource system node according to the identification information of the worker node and according to a second preset interval time, and store the completed workload data in a block chain according to a target format, where the first preset interval time is different from the second preset interval time;
the first detection module 203 is configured to perform anomaly detection on completed workload data acquired within different preset interval times in the block chain according to a first preset anomaly detection intelligent contract.
According to the block chain-based flexible labor data processing device, finished workload data uploaded by worker nodes are received through shared human resource system nodes, a block chain network obtains the finished workload data of each worker in the shared human resource system nodes according to different preset interval time respectively, the finished workload data are stored in the block chain according to a target format, and according to a first preset abnormity detection intelligent contract, abnormity detection is carried out on the finished workload data obtained in the block chain within different preset interval time. The workload completed by the workers is stored by combining the block chain technology, the stored workload data is prevented from being tampered, meanwhile, the completed workload data with different intervals are stored for each worker, the completed workload data is detected by an intelligent contract for anomaly detection, the problem that the workload data stored in the block chain is inaccurate due to errors in a data chaining process is solved, the safety of the stored workload data is guaranteed, and meanwhile, the reliability of the stored workload data is improved. .
As an optional embodiment of the present invention, the apparatus further comprises: and the expense settlement module is used for performing expense settlement according to a preset expense settlement intelligent contract and the finished workload data acquired according to different preset interval time when the abnormal information is not detected, and storing a settlement result into the block chain.
As an optional embodiment of the present invention, the blockchain network further comprises a plurality of worker nodes; the device also includes: the receiving module is used for receiving an information inquiry request uploaded by a worker node passing the authority verification, wherein the information inquiry request comprises the worker node identification information; the query module is used for querying an intelligent contract according to the information query request and preset information and querying related information in the block chain account book; and the feedback module is used for feeding back the information query result to the corresponding worker node.
As an optional embodiment of the present invention, the blockchain network further comprises a workload review node; the device also includes: the evaluation module is used for carrying out completion evaluation processing on the completed workload data uploaded to the block chain to obtain evaluation workload; the storage module is used for uniformly storing the review workload and the corresponding completed workload into a block chain; and the second detection module is used for carrying out abnormity detection on the review workload corresponding to the finished workload data acquired in the block chain within different preset interval time according to a second preset abnormity detection intelligent contract.
The embodiment of the invention also discloses a block chain-based flexible employment data processing system, as shown in fig. 3, the system comprises:
a plurality of shared human resource system nodes for receiving completed workload data uploaded by worker nodes; specifically, only one shared human resource system node is shown in fig. 3, and a person skilled in the art may set a plurality of shared human resource system nodes according to the requirement of the employment unit, so as to upload the employment requirement by the employment unit 1 and the employment unit 2 … … by the employment unit N. The shared human resource system node may be configured with a workload statistics module for performing statistics on workloads uploaded by worker nodes, and interacting with the blockchain network via the blockchain SDK.
And the blockchain network platform is respectively integrated in each node of the blockchain and is used for executing the steps of the flexible employment data processing method based on the blockchain in the embodiment. For specific implementation steps and effects, reference is made to the above method embodiments, which are not described herein again.
As an optional embodiment of the present invention, the shared human resource system node is further configured to receive the labor demand information uploaded by the labor unit. Specifically, as shown in FIG. 3, the shared human resources system node receives completed workload data uploaded by worker 1, worker 2 … …, worker M.
As an optional embodiment of the present invention, the system further comprises: the operation and maintenance management platform is used for managing the block chain network system and comprises any one or more of block chain node expansion/capacity reduction, chain code upgrading and block chain intelligent contract setting; and the report platform is used for generating a worker workload report.
FIG. 4 shows a system framework:
the system for sharing human resources specifically comprises: traditional shared human resources libraries; a real-time statistic module: the system is used for counting the workload in a short time period; a batch statistics module: for counting the workload in a long time period; block chains SDK;
the block chain system specifically comprises: a member identity management module; the system is used for member registration, user registration and certificate issuance; a consensus service module: for executing a consensus algorithm; account book module: the system comprises a local database, a block chain information acquisition unit and a block chain information acquisition unit, wherein the local database is used for storing the block chain information to a local database of an accounting node and providing service for inquiring an account book; block chain security module: for providing encryption and decryption functions, including symmetric and asymmetric encryption and decryption algorithms, wherein symmetric encryption algorithms include but are not limited to DES, 3DES, AES, etc., and asymmetric encryption and decryption algorithms include but are not limited to RSA, Elgamal, D-H, elliptic curves, etc.; P2P node communication module: for communicating with other blockchain nodes; the intelligent contract module: the method is used for providing deployment, execution, termination and the like of the intelligent contracts.
The service system specifically includes: a block chain SDK/management API module; a report platform: the system is used for checking reports such as personal workload and the like; operation and maintenance management platform: the method is used for managing the block chain system, and performing block chain link point expansion capacity, chain code upgrading, constant parameter setting used by a block chain intelligent contract and the like.
An embodiment of the present invention further provides an electronic device, as shown in fig. 5, the electronic device may include a processor 501 and a memory 502, where the processor 501 and the memory 502 may be connected by a bus or in another manner, and fig. 5 takes the connection by the bus as an example.
The memory 502, which is a non-transitory computer-readable storage medium, may be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as program instructions/modules corresponding to the method for processing flexible recruitment data based on blockchains in the embodiments of the present invention. The processor 501 executes various functional applications and data processing of the processor by running non-transitory software programs, instructions and modules stored in the memory 502, that is, the block chain-based flexible employment data processing method in the above method embodiment is implemented.
The memory 502 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created by the processor 501, and the like. Further, the memory 502 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 502 optionally includes memory located remotely from processor 501, which may be connected to processor 501 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The one or more modules are stored in the memory 502 and when executed by the processor 401, perform the blockchain-based flexible employment data processing method in the embodiment shown in fig. 1.
The details of the electronic device may be understood with reference to the corresponding related description and effects in the embodiment shown in fig. 1, and are not described herein again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD), a Solid State Drive (SSD), or the like; the storage medium may also comprise a combination of memories of the kind described above.
Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.
Claims (10)
1. A flexible labor data processing method based on a block chain is applied to a block chain network, the block chain network comprises a plurality of shared human resource system nodes, and the shared human resource system nodes are used for receiving finished workload data uploaded by worker nodes, and the method is characterized by comprising the following steps:
according to a first preset interval time, finished workload data of each worker in the shared human resource system nodes are obtained, and the finished workload data are stored in a block chain according to a target format;
acquiring finished workload data of corresponding workers in the shared human resource system nodes according to the identification information of the worker nodes and second preset interval time, and storing the finished workload data into a block chain according to a target format, wherein the first preset interval time is different from the second preset interval time;
and according to a first preset intelligent contract for detecting the abnormality, performing abnormality detection on the completed workload data acquired in different preset interval time in the block chain.
2. The method according to claim 1, wherein after performing anomaly detection on the completed workload data acquired within different preset intervals in the blockchain according to the first preset anomaly detection intelligent contract, the method further comprises:
and when the abnormal information is not detected, carrying out fee settlement according to a preset fee settlement intelligent contract and the completed workload data acquired according to different preset interval time, and storing a settlement result into the block chain.
3. The method of claim 1 or 2, wherein the blockchain network further comprises a plurality of worker nodes; the method further comprises the following steps:
receiving an information query request uploaded by a worker node passing authority verification, wherein the information query request comprises the worker node identification information;
inquiring an intelligent contract according to the information inquiry request and preset information, and inquiring related information in a block chain account book;
and feeding back the information query result to the corresponding worker node.
4. The method of claim 1 or 2, wherein the blockchain network further comprises a workload review node; the method further comprises the following steps:
the completion condition evaluation processing is carried out on the completed workload data uploaded to the block chain, and evaluation workload is obtained;
uniformly storing the evaluation workload and the corresponding completed workload into a block chain;
and according to a second preset intelligent contract for detecting the abnormity of the evaluation workload corresponding to the completed workload data acquired in different preset interval time in the block chain.
5. A flexible labor data processing device based on a block chain is applied to a block chain network, the block chain network comprises a plurality of shared human resource system nodes, the shared human resource system nodes are used for receiving finished workload data uploaded by worker nodes, and the device is characterized by comprising:
the first acquisition module is used for acquiring the finished workload data of each worker in the shared human resource system node according to a first preset interval time and storing the finished workload data in a block chain according to a target format;
a second obtaining module, configured to obtain completed workload data of a corresponding worker in the shared human resource system node according to the identifier information of the worker node and according to a second preset interval time, and store the completed workload data in a block chain according to a target format, where the first preset interval time is different from the second preset interval time;
and the first detection module is used for carrying out abnormity detection on the finished workload data acquired in different preset interval time in the block chain according to a first preset abnormity detection intelligent contract.
6. A blockchain-based flexible recruitment data processing system, comprising:
a plurality of shared human resource system nodes for receiving completed workload data uploaded by worker nodes;
a blockchain network platform, respectively integrated in each node of the blockchain, for performing the steps of the blockchain-based flexible employment data processing method of any one of claims 1 to 4.
7. The system of claim 6, wherein the shared human resources system node is further configured to receive the labor demand information uploaded by the labor unit.
8. The system of claim 6, further comprising:
the operation and maintenance management platform is used for managing the block chain network system and comprises any one or more of block chain node expansion/capacity reduction, chain code upgrading and block chain intelligent contract setting;
and the report platform is used for generating a worker workload report.
9. An electronic device, comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the steps of the blockchain based flexible employment data processing method according to any one of claims 1 to 4.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method for flexible employment data processing based on blockchains according to any one of claims 1 to 4.
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