CN110858344A

CN110858344A - Data processing method, device, equipment and system, and data query method, device and equipment

Info

Publication number: CN110858344A
Application number: CN201810967067.0A
Authority: CN
Inventors: 谭启敏; 魏阔; 曾丹; 彭光伟; 费新勇
Original assignee: Alibaba Group Holding Ltd
Current assignee: Alibaba Group Holding Ltd
Priority date: 2018-08-23
Filing date: 2018-08-23
Publication date: 2020-03-03
Anticipated expiration: 2038-08-23
Also published as: CN110858344B

Abstract

The embodiment of the application provides a data processing method, a data processing device, a data processing equipment, a data processing system, a data query method, a data processing device and data query equipment, wherein the data processing method comprises the steps of obtaining at least one working parameter data of a user; wherein the at least one operating parameter data is obtained based on an analysis of the user's work record data; comprehensively processing the at least one working parameter data to obtain working evaluation data of the user; and storing the work evaluation data to a plurality of block chain nodes according to a block chain data structure. According to the embodiment of the application, the safety and the reliability of the user evaluation data are improved.

Description

Data processing method, device, equipment and system, and data query method, device and equipment

Technical Field

The embodiment of the application relates to the technical field of computer application, in particular to a data processing method, device, equipment and system, and a data query method, device and equipment.

Background

In order to restrict user behaviors and ensure the working quality of users, in the operation process of a plurality of mechanisms, the users are evaluated on the basis of basic service data generated in the working process of the users, for example, the users are evaluated on the basis of working of customer service staff, technical support staff, operators or developers, and the like, and the working evaluation data can be used as reference standards for operations of user promotion, salary and the like.

At present, work evaluation data of a user is created and stored by a mechanism where the user is located, and if other mechanisms want to obtain the work evaluation data of the user, the work evaluation data can only be shared and obtained by the mechanism where the user is located.

Disclosure of Invention

The embodiment of the application provides a data processing method, a data processing device, data processing equipment, a data processing system, a data query method, a data query device and data query equipment, and aims to solve the technical problems that in the prior art, the safety and the reliability of work evaluation data stored in a mechanism where a user is located are low.

In a first aspect, an embodiment of the present application provides a data processing method, including:

acquiring at least one working parameter data of a user; wherein the at least one operating parameter data is obtained based on an analysis of the user's work record data;

comprehensively processing the at least one working parameter data to obtain working evaluation data of the user;

and storing the work evaluation data to a plurality of block chain nodes according to a block chain data structure.

In a second aspect, a data processing method is provided, including:

receiving work evaluation data sent by any block chain node; the working evaluation data is obtained by acquiring at least one working parameter data of a user corresponding to any block link point and comprehensively processing the at least one working parameter data;

and storing the work evaluation data according to a block chain data structure.

In a third aspect, a data query method is provided, including:

receiving a data query request aiming at any user;

inquiring the work evaluation data corresponding to any user from a local block chain node; the work evaluation data is obtained by comprehensively processing at least one work parameter data of any user by a local block chain node, and is stored into the local block chain node and at least one remote block chain node according to a block chain data structure; the at least one working parameter data is obtained based on the analysis of the working record data of the user;

and outputting the work evaluation data.

In a fourth aspect, a data processing method is provided, including:

acquiring at least one service data of customer service personnel; wherein the at least one service data is obtained based on service record data analysis of the customer service personnel;

comprehensively processing the at least one service data to obtain comprehensive evaluation data of the customer service personnel;

and storing the comprehensive evaluation data to a plurality of block chain nodes according to a block chain data structure.

In a fifth aspect, a data processing apparatus is provided, including:

the first acquisition module is used for acquiring at least one working parameter data of a user; wherein the at least one operating parameter data is obtained based on an analysis of the user's work record data;

the first processing module is used for comprehensively processing the at least one working parameter data to obtain the working evaluation data of the user;

and the first storage module is used for storing the work evaluation data to a plurality of block chain nodes according to a block chain data structure.

In a sixth aspect, there is provided a data processing apparatus comprising:

the first receiving module is used for receiving the work evaluation data sent by any one of the blockchain nodes; the working evaluation data is obtained by acquiring at least one working parameter data of a user corresponding to any block link point and comprehensively processing the at least one working parameter data;

and the second storage module is used for storing the work evaluation data according to a block chain data structure.

In a seventh aspect, a data query apparatus is provided, including:

the second receiving module is used for receiving a data query request aiming at any user;

the first query module is used for querying the work evaluation data corresponding to any user from the local block link node; the work evaluation data is obtained by comprehensively processing at least one work parameter data of any user by a local block chain node, and is stored into the local block chain node and at least one remote block chain node according to a block chain data structure; the at least one working parameter data is obtained based on the analysis of the working record data of the user;

and the first output module is used for outputting the work evaluation data.

In an eighth aspect, there is provided a data processing apparatus comprising:

the second acquisition module is used for acquiring at least one service data of the customer service personnel; wherein the at least one service data is obtained based on service record data analysis of the customer service personnel;

the second processing module is used for comprehensively processing the at least one service data to obtain comprehensive evaluation data of the customer service staff;

and the third storage module is used for storing the comprehensive evaluation data to a plurality of block chain nodes according to a block chain data structure.

In a ninth aspect, there is provided a data processing apparatus comprising: a processor, a memory coupled to the processor;

the memory stores one or more computer program instructions; the computer program instructions to be invoked and executed by the processor;

the processor is configured to:

acquiring at least one working parameter data of a user; wherein the at least one operating parameter data is obtained based on an analysis of the user's work record data; comprehensively processing the at least one working parameter data to obtain working evaluation data of the user; and storing the work evaluation data to a plurality of block chain nodes according to a block chain data structure.

In a tenth aspect, there is provided a data processing apparatus comprising: a processor, a memory coupled to the processor;

the processor is configured to:

and storing the work evaluation data according to a block chain data structure.

In an eleventh aspect, there is provided a data query apparatus, including: a processor, a memory coupled to the processor;

the processor is configured to:

receiving a data query request aiming at any user; inquiring the work evaluation data corresponding to any user from a local block chain node; the work evaluation data is obtained by comprehensively processing at least one work parameter data of any user by a local block chain node, and is stored into the local block chain node and at least one remote block chain node according to a block chain data structure; the at least one working parameter data is obtained based on the analysis of the working record data of the user; and outputting the work evaluation data.

In a twelfth aspect, there is provided a data processing apparatus comprising: a processor, a memory coupled to the processor;

the processor is configured to:

acquiring at least one service data of customer service personnel; wherein the at least one service data is obtained based on service record data analysis of the customer service personnel; comprehensively processing the at least one service data to obtain comprehensive evaluation data of the customer service personnel; and storing the comprehensive evaluation data to a plurality of block chain nodes according to a block chain data structure.

In a thirteenth aspect, there is provided a data processing system, the system comprising a plurality of blockchain nodes;

when any one of the plurality of blockchain nodes is used as a local blockchain node, at least one working parameter data of a corresponding user is acquired; wherein the at least one working parameter data is obtained based on the analysis of the working record data of the user; comprehensively processing the at least one working parameter data to obtain working evaluation data of the user; and storing the work evaluation data to the local blockchain node and at least one remote blockchain node according to a blockchain data structure.

In the embodiment of the application, at least one working parameter data of a user is obtained, the at least one working parameter data is actually obtained by analyzing the working record data based on the user, and the at least one working parameter data is comprehensively processed to obtain the working evaluation data of the user. The work evaluation data can intuitively reflect the work evaluation of the user, and the application range of the data is improved. Secondly, after the work evaluation data of the user is obtained, the work evaluation data is stored into a plurality of block chain nodes as block data, and due to the fact that the number of the nodes of the block chain is large, if the work evaluation data of one user needs to be changed simultaneously, the work evaluation data of all the nodes needs to be changed, actual operation is difficult, therefore, the block data in the plurality of block chain nodes are not easy to be simultaneously tampered, and the safety and the reliability of the work evaluation data stored in the block chain structure are high. In addition, because the plurality of block chain nodes all store the work evaluation data of the user, the evaluation data of the user can be inquired based on the plurality of block chain nodes, the use range of the user evaluation data is expanded, and the utilization rate of the user evaluation data is improved.

These and other aspects of the present application will be more readily apparent from the following description of the embodiments.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be 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 application, and other drawings can be obtained by those skilled in the art without creative efforts.

FIG. 1 illustrates a flow diagram of one embodiment of a data processing method provided herein;

FIG. 2 illustrates a flow diagram of yet another embodiment of a data processing method provided herein;

FIG. 3 illustrates a flow diagram of yet another embodiment of a data processing method provided herein;

FIG. 4 illustrates a flow diagram of yet another embodiment of a data processing method provided herein;

FIG. 5 is a flow chart illustrating one embodiment of a data query method provided herein;

FIG. 6 illustrates a flow chart of one embodiment of a data processing method provided herein;

FIG. 7 is a schematic diagram illustrating data interaction in an actual customer service scenario according to an embodiment of the application;

FIG. 8 is a block diagram illustrating an embodiment of a data processing apparatus provided herein;

FIG. 9 is a block diagram illustrating an embodiment of a data processing apparatus provided herein;

FIG. 10 is a schematic diagram illustrating an architecture of yet another embodiment of a data processing apparatus provided herein;

FIG. 11 is a schematic diagram illustrating an architecture of yet another embodiment of a data processing apparatus provided herein;

FIG. 12 is a schematic diagram illustrating an embodiment of a data query device provided in the present application;

FIG. 13 is a schematic diagram illustrating an embodiment of a data query device provided by the present application;

FIG. 14 is a schematic diagram illustrating an architecture of yet another embodiment of a data processing apparatus provided herein;

FIG. 15 is a schematic diagram illustrating an architecture of yet another embodiment of a data processing apparatus provided herein;

FIG. 16 is a block diagram illustrating one embodiment of a data processing system provided herein;

FIG. 17 is a block diagram illustrating one embodiment of a data processing system provided herein.

Detailed Description

In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.

In some of the flows described in the specification and claims of this application and in the above-described figures, a number of operations are included that occur in a particular order, but it should be clearly understood that these operations may be performed out of order or in parallel as they occur herein, the number of operations, e.g., 101, 102, etc., merely being used to distinguish between various operations, and the number itself does not represent any order of performance. Additionally, the flows may include more or fewer operations, and the operations may be performed sequentially or in parallel. It should be noted that, the descriptions of "first", "second", etc. in this document are used for distinguishing different messages, devices, modules, etc., and do not represent a sequential order, nor limit the types of "first" and "second" to be different.

The technical scheme of the embodiment of the application can be applied to the scene of evaluating the work of the user by each mechanism, and can also be applied to the scene of evaluating the service of the customer service staff engaged in electronic commerce in a practical application. The authenticity and the reliability of the work evaluation data of the user are increased by storing the work evaluation data of the user in a plurality of block chain nodes.

In the prior art, the operation of an operation organization is evaluated based on basic service data generated in the operation process of a user in the operation process. Basic service data generated in the user service process are generally collected and correspondingly processed to obtain evaluation data of the user. For example, the operator may collect the evaluation of the user service object to the user, and determine the evaluation score of the user according to the evaluation of the service object to the user, as the evaluation data of the user. In an actual e-commerce scenario, customer service personnel communicate with customers through a network to provide network services for the customers. The electronic commerce institution can establish corresponding service files for the customer service personnel in the electronic commerce institution so as to acquire the working condition of the customer service at any time.

However, currently, after obtaining the job evaluation of the user, the operator stores the job evaluation data of the user, for example, the job evaluation data of all users who are assigned to the operator may be generally stored in a server for storing data inside the operator, so as to be conveniently referred at any time. And if other organizations want to obtain the work evaluation data of the user, the work evaluation data can only be shared and obtained by the organization where the user is located. However, the conventional work evaluation data storage method is very easy to be tampered, and the authenticity and reliability of the data are low. Moreover, because of lack of data communication foundation among each operation organization, when the user is not in the operation of the service organization, the work evaluation data may be eliminated, and the utilization rate of the work evaluation data is very low, which is not beneficial to the development of the practitioner.

In order to solve the above problem, the inventors thought that a Blockchain (BT) is a chain data structure that combines block data in a sequentially connected manner in time order. The block chain technique is mainly applied to digital currency such as bitcoin. The blockchain has various beneficial effects such as a consensus mechanism, an encryption algorithm, point-to-point transmission and the like, so that the inventor thinks whether the work evaluation data of the user can be stored in a blockchain structure to provide a sharing mechanism for the service data, so that the service data can be consulted by a plurality of users, and the service data use efficiency is improved. Meanwhile, as the number of the block chain nodes is large, the data are not easy to be simultaneously tampered, and therefore, the data safety and reliability are high.

Accordingly, the inventor proposes a technical scheme of the application, in the application, at least one working parameter data of a user is obtained, the at least one working parameter data is actually obtained based on the analysis of the working record data of the user, and the actual working record of the user can comprehensively process the at least one working parameter data to obtain the working evaluation data of the user. The work evaluation data can intuitively reflect the work evaluation of the user, and the application range of the data is improved. The work evaluation data is stored into the plurality of blockchain nodes according to the blockchain data structure, and operation is difficult for changing the work evaluation data of the plurality of blockchain nodes, so that the blockchain data is not easy to be simultaneously tampered, the work evaluation data of a user is protected to a certain extent, and the safety and the reliability of the work evaluation data are higher. In addition, because the plurality of block chain nodes store the working evaluation data of the user, the evaluation data of the user can be inquired, the application range of the user evaluation data is expanded, and the utilization rate of the user evaluation data is improved.

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. 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 application.

Fig. 1 is a flowchart of an embodiment of a data processing method provided in an embodiment of the present application, where the method may include the following steps:

101: at least one operating parameter data of a user is obtained.

Wherein the at least one operational parameter data is obtained based on an analysis of the user's work record data.

In some embodiments, it may be the local blockchain node that obtains at least one operating parameter data for the user. The local blockchain node is a blockchain node used by a user, and the user can provide network services for a service object on the blockchain node. A blockchain node may be a computing device with computing, processing, storage, communication, etc. functionality in different organizations.

The working record data can refer to various working data generated by recording users in the process of serving the service objects of the users. The work record data may be generated by a local blockchain node. The local block link node can acquire the working data of the user to obtain the working record data.

The analyzing the user-based work record data to obtain at least one work parameter data may specifically include:

determining at least one operating parameter; determining first record data associated with each working parameter in the working record data; and processing the first recorded data associated with each working parameter according to the corresponding working parameter to obtain working parameter data corresponding to each working parameter so as to obtain at least one working parameter data.

102: and comprehensively processing the at least one working parameter data to obtain the working evaluation data of the user.

The job evaluation data is used to evaluate the quality of the job for the user. The number of the at least one working parameter data is large, the actual working quality of the user cannot be reflected intuitively, and when the user uses the device independently, the user needs to analyze the data of the at least one working parameter data of the user to obtain the actual working evaluation of the user. The at least one working parameter data is converted into working evaluation data corresponding to the user, the working quality of the user can be actually evaluated by utilizing the working evaluation data, the working quality of the user is displayed in a more direct data form, and the working evaluation data can be directly used as a basis for promoting job and paying salaries.

Optionally, the comprehensively processing the at least one working parameter data to obtain the working evaluation data of the user may include: and comprehensively processing the at least one working parameter data according to a preset evaluation algorithm to obtain the working evaluation data of the user. The predetermined processing rule may specifically be that data integration processing is performed on at least one working parameter data according to a parameter meaning or a parameter type of the at least one working parameter, so as to obtain work evaluation data of the user.

103: and saving the work evaluation data as block data to a plurality of block chain nodes.

Wherein the plurality of blockchain nodes may include a local blockchain node and at least one remote blockchain node. The local blockchain node may be any blockchain node in the blockchain structure, and when the work evaluation is performed on any blockchain node corresponding to the user, the any blockchain node may be the local blockchain node. Point-to-point communication can be realized between any two block chain nodes, and then various data transmission can be realized by each block chain node.

As a possible implementation manner, each blockchain node may correspond to at least one user, and at least one user on each blockchain may be distinguished by using different user identifiers. In a particular application, at least one user may provide customer service to a service object through a blockchain node. Each node can record the work record data generated when the user works, and the work record data is stored in the data server after being distinguished by the user identification.

The plurality of block chain nodes can store the work evaluation data of different users to form a user evaluation system, and the work evaluation data of the plurality of users are stored in the user evaluation system.

The method comprises the steps of obtaining at least one working parameter data of a user, wherein the at least one working parameter data is actually obtained through analysis based on working record data of the user, and the actual working record of the user can comprehensively process the at least one working parameter data to obtain working evaluation data of the user. The work evaluation data can intuitively reflect the work evaluation of the user, and the application range of the data is improved. The work evaluation data is stored into a plurality of block chain nodes according to a block structure, and operation is difficult for changing the work evaluation data of the plurality of block chain nodes, so that the block data is not easy to be simultaneously tampered, the work evaluation data of a user is protected to a certain extent, and the safety of the work evaluation data is improved. In addition, because the plurality of block chain nodes store the working evaluation data of the user, the evaluation data of the user can be inquired, the application range of the user evaluation data is expanded, and the utilization rate of the user evaluation data is improved.

As shown in fig. 2, a flowchart of another embodiment of a data processing method provided in the embodiment of the present application may include the following steps:

201: at least one operating parameter data of a user is obtained.

The steps described in the embodiment of the present application are partially the same as those in the embodiment shown in fig. 1, and are not described herein again.

202: and comprehensively processing the at least one working parameter data to obtain the working evaluation data of the user.

203: and sending the work evaluation data to at least one remote blockchain node so that any remote blockchain node can verify the work evaluation data based on verification data.

Wherein the verification data is obtained by comprehensively processing the at least one working parameter data for any one of the remote blockchain nodes.

The local blockchain node may send the job evaluation data to a plurality of remote blockchain nodes. A local blockchain node may refer to a node currently used by a user to provide network services for its service objects.

Optionally, the local blockchain node may comprehensively process the at least one operating parameter data according to a predetermined evaluation algorithm to obtain operating evaluation data. At least one remote blockchain node may receive the work evaluation data sent by the local blockchain node and validate the received work evaluation data.

As a possible implementation manner, the at least one remote blockchain data may obtain at least one working parameter data of the user, and comprehensively process the at least one working parameter data according to a predetermined evaluation algorithm to obtain the verification data.

Optionally, the verifying the work evaluation data by the at least one blockchain node based on the verification data may include: and judging whether the verification data is the same as the work evaluation data, if so, successfully verifying, and if not, failing to verify.

204: and if the at least one remote block chain link point successfully verifies the work evaluation data, respectively storing the work evaluation data to a local block chain node and the at least one remote block chain node according to a block chain data structure.

Optionally, the local blockchain node and the at least one remote blockchain node respectively generate blocky data from the work evaluation data according to the data structure of the blockchain, and locally store the generated blocky data.

Optionally, the block generation node may be configured to generate block data from the operation evaluation data according to a data structure of the block, and send the generated block data to the local blockchain node and the at least one remote blockchain node, so that the local blockchain node and the at least one remote blockchain node store the block data.

And verifying at least one working parameter data obtained by the local blockchain node aiming at least one remote blockchain node in the blockchain, and respectively storing user evaluation data into the local blockchain node and the at least one remote blockchain node according to the blockchain data result after the verification is successful. The reliability and the safety of the user work data can be improved through the verification work of the remote node, so that the effectiveness of the work evaluation of the user is higher, the recognition degree of the work evaluation is improved, and the use range of the user work evaluation data can be expanded.

In order to obtain the standard-uniform evaluation data, as an embodiment, the comprehensively processing the at least one working parameter data to obtain the working evaluation data of the user may include:

determining at least one basic evaluation data for evaluating the working condition of the user and at least one balance data for balancing the evaluation difference in the at least one working parameter data;

weighting the at least one working parameter data based on the respective weighting coefficient of the at least one basic evaluation data to obtain a weighting result;

determining that the at least one balance data corresponds to at least one balance coefficient based on a balance rule;

and calculating the product of the weighting result and all balance coefficients to obtain the work evaluation data of the user.

Optionally, the weighting processing on the at least one piece of basic evaluation data may include multiplying a score corresponding to the at least one piece of basic evaluation data by a corresponding weight coefficient, and adding products of a work evaluation score corresponding to each piece of basic evaluation data and the corresponding weight coefficient to obtain work evaluation data of the user.

The work evaluation coefficients are weighted by a weighting calculation mode, the weighting processing is carried out on the respective weighting coefficients of at least one piece of work parameter data, namely the work evaluation data of the user is quantized, and at least one piece of work parameter data of all the users can be processed by the same weighting processing mode, so that the use range of the user evaluation data is enlarged.

In one possible design, the data validity of the underlying ratings data may be attenuated over time in order to better match the user's work ratings data to the current work capacity.

As an embodiment, the at least one base evaluation data for evaluating the working condition of the user in the at least one working parameter data comprises a first parameter data having a time attribute.

The determining, according to the predetermined coefficient corresponding to each of the at least one piece of basic evaluation data and the influence factor corresponding to each of the at least one piece of basic evaluation data, a weight coefficient of each of the at least one piece of basic evaluation data includes:

and determining a time attenuation coefficient corresponding to the first parameter data aiming at the first parameter data.

And calculating the product of the time attenuation coefficient and a preset coefficient of the first parameter data to obtain a weight coefficient corresponding to the first parameter data.

The determining, for the first parameter data, a time attenuation coefficient corresponding to the first parameter data may include: and determining a time difference value between the generation time and the current processing time aiming at the generation time of the working record data corresponding to the first parameter data, and determining a time attenuation coefficient corresponding to the first parameter data based on the time difference value.

In the time dimension, if the generation time of the work record data is closer to the current processing time, the work record data is closer to the recent service condition of the user, so that the time attenuation coefficient is larger at the moment, and even within a certain time period, the time attenuation coefficient can be 1; conversely, if the difference between the working record time and the current processing time is larger, the working record data is less related to the recent service condition of the user, and therefore, the time attenuation coefficient is smaller at the moment. As a possible implementation manner, a corresponding relationship between the time difference and the attenuation coefficient may be set, and the weight coefficient corresponding to the first parameter data may be obtained based on the corresponding relationship between the time difference and the attenuation coefficient.

By determining the attenuation relation of time to work evaluation, at least one piece of work parameter data can be attenuated to a certain extent on the work evaluation data of the user along with the lapse of time, so that fair processing on a time dimension is realized, the work evaluation data of the user is closer to the actual work scene of the current user, and the effectiveness and the reliability of the work evaluation data of the user are improved.

As a possible implementation manner, in order to reduce dominant evaluation data generated by user cheating, a "coin day destruction algorithm" is used for basic evaluation data repeatedly appearing in a short time, and the coin day destruction algorithm in virtual currency is introduced into the embodiment of the present application. By attenuating the data which repeatedly appears for a plurality of times in the unit time period, the positive influence of the data on the user evaluation is reduced.

Therefore, as an embodiment, the determining the respective weighting factor of the at least one basic evaluation data according to the predetermined factor corresponding to the at least one basic evaluation data and the influence factor corresponding to the at least one basic evaluation data may include:

determining a number of repetitions of the at least one basic evaluation data within a predetermined unit time;

determining a marginal attenuation coefficient of the at least one basic evaluation datum according to the repetition times;

and respectively calculating products of the marginal attenuation coefficient and a preset coefficient corresponding to the at least one piece of basic evaluation data to obtain weight coefficients corresponding to the at least one piece of basic evaluation data.

For the situation that a large amount of repeated data appears in unit time, that is, the data of at least one working parameter data is completely or partially the same as at least one working parameter data obtained in previous times, and especially the contents of evaluation scores and the like of service objects to users are the same, it is indicated that the user may have a data falsification phenomenon.

By introducing the marginal attenuation coefficient, the influence of repeated data generated by a user in a short time on the work evaluation data can be reduced, so that cheating of the user is avoided, and the effectiveness of the work evaluation data is improved.

In practical application, different users have different work contents, and if a relatively fair and uniform evaluation standard is to be provided for all users, different work difficulties can be set for different work types to achieve the balance of the work difficulties of the users.

Thus, as yet another embodiment, at least one balance data for balancing evaluation differences among the at least one operational parameter data includes a second parameter data representing a type of work of the user;

the determining, based on the balancing rule, that the at least one balancing data corresponds to at least one balancing coefficient comprises:

determining a difficulty equalization coefficient of a work type represented by the second parameter data aiming at the second parameter data;

and determining the difficulty equalization coefficient as an equalization coefficient.

The determining, for the second parameter data, a difficulty equalization coefficient for which the second parameter data represents a type of work may include: and inquiring the corresponding relation between various work types and the difficulty balance coefficient to obtain the difficulty balance coefficient of the work type represented by the second parameter data.

The difficulty equalization coefficients of different work types are different, for example, service types of online customer service personnel and network technology support personnel are different, and the network technology support difficulty is higher than that of network customer service, so that difficulty evaluation is performed on the work types of different users, and work evaluation data of the users are influenced by the difficulty equalization coefficients of the work types. Through the difficulty balancing algorithm, difficulty differences of different service types can be balanced, so that the persuasion of the user is higher, and the safety is higher.

In the actual working process of the user, the service object can score the working content of the user, in order to balance the evaluation of the service object to the user, the evaluation of the user can be balanced, and further, the working evaluation data which is more similar to the current working state of the user can be obtained, so that the reliability of the working evaluation data is improved.

In certain embodiments, at least one of the at least one operational parameter data for balancing evaluation differences comprises third parameter data having an evaluation attribute;

determining an evaluation equalization coefficient corresponding to the third parameter data aiming at the third parameter data;

and determining the evaluation balance coefficient as a balance coefficient.

In one possible design, the service object of the user can score the service of the user, and the service object can score the user for each service work, so that the evaluation of the service object on the service of the user is reflected. In practical application, each user corresponds to a historical evaluation score so as to determine the historical working condition of the user.

Optionally, the determining, by using the third parameter data, an evaluation equalization coefficient corresponding to the third parameter data may include: determining the current score of the user for the service object by using the third parameter data; and historical average scores, calculating the ratio of the difference between the current scores and the historical average scores to the average scores, and calculating the difference between a constant 1 and the ratio to obtain the evaluation balance coefficient.

As another embodiment, in order to implement undifferentiated data management on the work record data of all users, the acquiring at least one work parameter data of the user includes:

obtaining at least one working parameter data of the user from a data server; wherein the at least one working parameter data is obtained by the data server through analysis based on the working record data of the user.

Optionally, the at least one operational parameter data may be obtained by a data server based on an analysis of the user's work record data.

The data server can communicate with each block link point, acquire the work record data of the user corresponding to each block link point, analyze the work record data to acquire at least one piece of work parameter data, and send the at least one piece of work parameter data integrated and processed to the block link point corresponding to the user.

The block link point corresponding to the user, that is, the local block link node, may be analyzed by the local block link node based on the work record data of the user to obtain at least one corresponding work record data. In the analysis process, the original working record data is easy to be tampered by a user to obtain higher evaluation, so that the safety and reliability of obtaining at least one working parameter data are higher by analyzing the working record data by using the data server, and the data is not easy to be tampered by the user. Meanwhile, the data server executes undifferentiated data analysis processing on the work record data of the users in all the block chain nodes, so that the work evaluation data stored in the block chain in a block structure is used as a uniform processing index, and the application range of the data is wider.

The data server can collect service data generated during user service, obtain work record data and convert the work record data into at least one work parameter. The work record data is basic data generated in the process of recording user service, such as start working time, end working time, response content, customer question time, user feedback time and the like, and the basic data cannot represent the actual service condition of a user, for example, the start working time and the end working time are both a time point, and the time difference between the end working time and the start working time is the effective working duration of the user, so the work record data needs to be processed and integrated to obtain at least one working parameter data so as to facilitate evaluation on the work of the user.

Optionally, the data server may be composed of two types of servers, the first type of server is a work message platform server, the work message platform server may collect service data of the user and store the service data as work record data, the second type of server is a processing platform server, and the processing platform server may read the work record data of the user from the work message platform server and perform data integration processing on the service data to obtain at least one work parameter data of the user. The user can log in the blockchain node through a user identifier, an account name, a password and the like. The user identification and the account name can identify the user identity so as to distinguish different users.

Optionally, the work record data collected by the data server may further include a user identifier of the user, so as to determine an acquisition source of the work record. After the data server processes the work record data into at least one piece of work parameter data, the at least one piece of work parameter data can be sent to the block link point corresponding to the collected work record based on the user identification.

Optionally, each block chain node may correspond to a node identifier, and the node identifier is used to identify different nodes on the block chain, so as to implement node differentiation. In practical application, the node identifier may be generated according to an identifier generation rule, or may be a physical address, an IP address, or the like of the node. Optionally, when the node identifier is generated according to the identifier generation rule, the node identifier may be generated by combining an organization code of an organization where the user is located and a user code of the user.

When the data server obtains the service data, the node identifier of the node can be obtained, and the node identifier is recorded. After the data server processes the working record data into at least one working parameter data, the at least one working parameter data can be sent to the node corresponding to the node identifier based on the node identifier.

And analyzing the working record data progress of the user through the data server to obtain at least one working parameter data of the user. Because the work record data is the original data generated in the working process of the user, the data server converts the work record data to obtain at least one piece of work parameter data, so that the data can be prevented from being tampered, the reliability and the safety of the work evaluation data are ensured, meanwhile, the data server processes the work record of the user, namely, a non-differential data processing mode is carried out aiming at all users, so that the obtained at least one piece of work parameter data uses the same evaluation system, and the reference value of the work evaluation data of the user is further improved.

As shown in fig. 3, which is a flowchart of another embodiment of a data processing method provided in the embodiment of the present application, the method may include:

301: receiving work evaluation data sent by any block chain node; the working evaluation data is obtained by acquiring at least one working parameter data of a user corresponding to any block link point and comprehensively processing the at least one working parameter data;

302: and storing the work evaluation data according to a block chain data structure.

Optionally, any remote blockchain node may receive the work evaluation data sent by any blockchain node, and store the work evaluation data according to a blockchain data structure.

The remote blockchain node can receive the work evaluation data sent by any blockchain node and store the work evaluation data of the user according to a blockchain data structure. The plurality of block chain nodes store the work evaluation data of the user, distributed storage of the block chain data is achieved, and then the plurality of block chain nodes store the data of the block chain structure corresponding to the user evaluation data, and if the data in the plurality of block chains are to be modified at the same time, the data are difficult to modify, so that the plurality of block chains store the work evaluation data of the user, and the safety of the work evaluation data of the user can be improved.

As shown in fig. 4, a flowchart of another embodiment of a data processing method provided in this embodiment of the present application is different from the embodiment shown in fig. 3 in that storing the work evaluation data according to the blockchain data structure in step 302 may include:

401: verifying the work evaluation data based on verification data, and feeding back a verification result to any one block chain node; wherein the verification data is obtained by comprehensively processing the at least one working parameter data.

402: and responding to the storage instruction of any one block chain node, and storing the work evaluation data according to a block chain data structure.

Optionally, before the work evaluation data is stored according to the blockchain data structure, the received work evaluation data may be verified, and after the verification is successful, the work evaluation data may be stored according to the blockchain data structure.

Optionally, before verifying the work evaluation data based on the verification data, the method may further include: acquiring at least one working parameter data of a user, wherein the at least one working parameter data is obtained based on the analysis of the working record data of the user; and comprehensively processing the at least one working parameter data to obtain verification data.

The obtaining at least one operating parameter data of the user may include obtaining at least one operating parameter data of the user from a data server. In particular, at least one operating parameter data matching the user identification of the user may be obtained from the data server based on the user identification of the user.

Optionally, any one of the remote block link points may process the at least one operating parameter data in combination to obtain verification data.

The step of any remote blockchain node comprehensively processing the at least one working parameter data to obtain verification data may comprise: determining at least one basic evaluation data for evaluating the working condition of the user and at least one balance data for balancing the evaluation difference in the at least one working parameter data; weighting the at least one working parameter data based on the respective weighting coefficient of the at least one basic evaluation data to obtain a weighting result; determining that the at least one balance data corresponds to at least one balance coefficient based on a balance rule; and calculating the product of the weighting result and all balance coefficients to obtain the work evaluation data of the user.

In some embodiments, the weighting, by any remote blockchain node, the at least one operating parameter data based on the respective weighting coefficient of the at least one basic evaluation data, and obtaining the weighting result may include:

determining a weight coefficient of each basic evaluation data according to a predetermined coefficient corresponding to each basic evaluation data and an influence factor corresponding to each basic evaluation data;

and weighting the at least one working parameter data based on the respective weighting coefficient of the at least one basic evaluation data to obtain a weighting result.

Wherein at least one basic evaluation data for evaluating the working condition of the user in the at least one working parameter data comprises a first parameter data with a time attribute; the determining, according to the predetermined coefficient corresponding to each of the at least one piece of basic evaluation data and the influence factor corresponding to each of the at least one piece of basic evaluation data, a weight coefficient of each of the at least one piece of basic evaluation data includes: determining a time attenuation coefficient corresponding to the first parameter data aiming at the first parameter data; and calculating the product of the time attenuation coefficient and a preset coefficient of the first parameter data to obtain a weight coefficient corresponding to the first parameter data.

Wherein the determining, according to the predetermined coefficient corresponding to each of the at least one basic evaluation data and the influence factor corresponding to each of the at least one basic evaluation data, a weight coefficient of each of the at least one basic evaluation data includes: determining a number of repetitions of the at least one basic evaluation data within a predetermined unit time; determining a marginal attenuation coefficient of the at least one basic evaluation datum according to the repetition times; and respectively calculating products of the marginal attenuation coefficient and a preset coefficient corresponding to the at least one piece of basic evaluation data to obtain weight coefficients corresponding to the at least one piece of basic evaluation data.

Wherein at least one balance data for balancing the evaluation difference of the at least one working parameter data comprises a second parameter data representing the working type of the user; the determining, based on the balancing rule, that the at least one balancing data corresponds to at least one balancing coefficient comprises: determining a difficulty equalization coefficient of a work type represented by the second parameter data aiming at the second parameter data; and determining the difficulty equalization coefficient as an equalization coefficient.

Wherein at least one balance data for balancing the evaluation differences of the at least one operational parameter data comprises a third parameter data having an evaluation attribute; the determining, based on the balancing rule, that the at least one balancing data corresponds to at least one balancing coefficient comprises: determining an evaluation equalization coefficient corresponding to the third parameter data aiming at the third parameter data; and determining the evaluation balance coefficient as a balance coefficient.

The remote blockchain node can receive the work evaluation data sent by any blockchain data and verify the work evaluation data to ensure the authenticity and reliability of the work evaluation data.

As shown in fig. 5, a schematic structural diagram of an embodiment of a data query method provided for the embodiment of the present application is provided, where the method may include the following steps:

501: a data query request is received for any user.

502: and inquiring the work evaluation data corresponding to any user from the local block chain node.

The work evaluation data is obtained by comprehensively processing at least one work parameter data of any user by a local block chain node, and is stored into the local block chain node and at least one remote block chain node according to a block chain data structure; the at least one operating parameter data is obtained based on an analysis of the user's work record data.

503: and outputting the work evaluation data.

Optionally, any blockchain node may receive a data query request for any user.

In the embodiment of the application, the work evaluation data of the user, which is stored in the form of the tile data in the plurality of tile chain nodes, can be queried. The application scene of the work evaluation data can be improved through the query of the work evaluation data, and the utilization rate of the work evaluation data is improved.

In certain embodiments, the method may further comprise:

and if the work evaluation data corresponding to any user is not inquired and obtained from the local blockchain node, inquiring the work evaluation data corresponding to any user from at least one remote blockchain node associated with the local blockchain node.

The work evaluation data of the at least one remote block chain node is successfully verified based on verification data and is stored into the at least one remote block chain node according to a block chain data structure; the verification data is obtained by comprehensively processing at least one working parameter data of any user.

When the work evaluation data of the user cannot be inquired in the local blockchain node, the work evaluation data of the user can be inquired from the remote blockchain node, so that the work evaluation data of the user can be obtained by complete inquiry, and the utilization range of the work evaluation data is expanded.

As shown in fig. 6, a schematic structural diagram of an embodiment of a data processing method provided in the embodiment of the present application is shown, where the method may include:

601: at least one service data of the customer service personnel is obtained.

Wherein the at least one service data is obtained based on service record data analysis of the customer service personnel.

Optionally, the local blockchain node may obtain at least one service data of the customer service person.

In practical applications, the work record data may include an initial question asking time for each service object, a response time of each response of the service person to the service object, an evaluation score of the service object to the service person, specific service content of the service person, and a service type of the service person.

602: and comprehensively processing the at least one service data to obtain comprehensive evaluation data of the customer service staff.

Optionally, the local blockchain node may process the at least one service data in accordance with a predetermined evaluation algorithm to obtain a total evaluation data of the customer service personnel.

The comprehensively processing the at least one service data to obtain comprehensive evaluation data of the customer service personnel comprises:

determining at least one basic evaluation data for evaluating the working condition of the customer service staff and at least one balance data for balancing the evaluation difference in the at least one service data; weighting the at least one service data based on the respective weighting coefficient of the at least one basic evaluation data to obtain a weighting result; determining that the at least one balance data corresponds to at least one balance coefficient based on a balance rule; and calculating the product of the weighting result and all balance coefficients to obtain comprehensive evaluation data of the customer service staff.

603: and storing the comprehensive evaluation data to a plurality of block chain nodes according to a block chain data structure.

In certain embodiments, the plurality of block link points comprises: a local blockchain node and at least one remote blockchain node;

the storing the comprehensive evaluation data as block data to a plurality of block chain nodes includes:

sending the comprehensive evaluation data to the at least one remote blockchain node, so that any remote blockchain node can verify the comprehensive evaluation data based on verification data; wherein the verification data is obtained by comprehensively processing the at least one service data for any one of the remote blockchain nodes.

And if the verification of the comprehensive evaluation data by the at least one remote block chain link point is successful, respectively storing the comprehensive evaluation data to a local block chain node and the at least one remote block chain node according to a block chain data structure.

The block chain technology is utilized to establish the service file for the customer service personnel, so that the safety and the reliability of the comprehensive evaluation data of the customer service personnel are higher, and the utilization value and the reference value are higher. The comprehensive evaluation data can visually reflect the work evaluation of customer service personnel, and the application range of the data is widened. The comprehensive evaluation data is stored into a plurality of block chain nodes according to the block structure, and the operation is difficult for the change of the comprehensive evaluation data of the plurality of block chain nodes, so that the block data is not easy to be simultaneously falsified, the comprehensive evaluation data of customer service staff is protected to a certain extent, and the safety of the comprehensive evaluation data is improved. In addition, because the plurality of block chain nodes store the comprehensive evaluation data of the customer service staff, the evaluation data of the customer service staff can be inquired, the application range of the evaluation data of the customer service staff is expanded, and the utilization rate of the evaluation data is improved.

In practical applications, the at least one basic evaluation data may also be influenced by an influence factor under which the weight coefficient is determined.

Optionally, the weighting the at least one piece of basic evaluation data based on the weighting coefficient of the at least one piece of basic evaluation data, and obtaining a weighting result includes: determining a weight coefficient of each basic evaluation data according to a predetermined coefficient corresponding to each basic evaluation data and an influence factor corresponding to each basic evaluation data; and weighting the at least one service data based on the respective weighting coefficient of the at least one basic evaluation data to obtain a weighting result.

As a possible implementation mode, in order to reduce the dominant evaluation data generated by user cheating, a 'coin-day destruction algorithm' is used for basic evaluation data which repeatedly appear in a short time, and the positive influence of the data on the user evaluation is reduced by attenuating the data which repeatedly appear in a unit time period.

By introducing the marginal attenuation coefficient, the influence of repeated data generated by a user in a short time on the comprehensive evaluation data can be reduced, so that cheating of the user is avoided, and the effectiveness of the comprehensive evaluation data is improved.

Thus, as a further embodiment, at least one balance data for balancing evaluation differences in the at least one service data comprises a second parameter data representing a type of work of the user;

And performing difficulty evaluation aiming at the work types of different users, and further influencing comprehensive evaluation data of the users through the difficulty balance coefficient of the work types. Through the difficulty balancing algorithm, difficulty differences of different service types can be balanced, so that the persuasion of the user is higher, and the safety is higher.

In the actual working process of the user, the service object can score the working content of the user, in order to balance the evaluation of the service object to the user, the evaluation of the user can be balanced, and further comprehensive evaluation data which is more similar to the current working state of the user can be obtained, so that the reliability of the comprehensive evaluation data is improved.

In some embodiments, at least one balancing data of the at least one service data for balancing the differences in ratings comprises a third parameter data having a rating attribute;

and determining the evaluation balance coefficient as a balance coefficient.

In practical applications, analyzing the work record to obtain at least one service data may refer to analyzing and processing various service data in the work record of the customer service staff to obtain at least one service data. The at least one service data may specifically include: average response time, service object satisfaction, average processing time, service attitude, service standardization degree, service resolution, evaluation score, work type, the number of times of repeating the same content in unit time, receiving time and the like.

The average response time duration may refer to an average time from when the customer service staff receives a question of the service object to when the customer service staff sends the feedback information to the service object. The service object satisfaction degree can refer to the comprehensive satisfaction degree of the service object to the service of customer service staff, and can be embodied by evaluation scores. The average processing time refers to the average time for a customer service person to service a service object. The service attitude may specifically refer to an attitude of the customer service staff in providing the network service, and may specifically be obtained by the customer service staff scoring or analyzing the answer content of the customer service staff. The service standardization level may refer to a similarity between the detailed service content of the customer service staff and the actual standardized service, and may be obtained by analyzing a similarity between the specific service content of the customer service staff and the standard answer. The service resolution may refer to a ratio of a number of times that the customer service person solves the problem for the customer service person to a total number of times of service.

In one possible design, the at least one base evaluation data may include: service satisfaction, pick-up time, service attitude, service standardization degree, repetition times, etc. The at least one balance data may include: evaluation scores, job types, etc.

It is assumed that the predetermined coefficient of service satisfaction a1 in the at least one basic evaluation data is B1 and the influence factor is C1, the predetermined coefficient of the subsequent time a2 is B2 and the influence factor is C2, the predetermined coefficient of the average response time A3 is B3 and the influence factor is C3, the predetermined coefficient of the service attitude a4 is B4 and the influence factor is C5, and the predetermined coefficient of the service normalization degree a5 is B5 and the influence factor is C5.

Wherein A1-A5 are evaluation scores corresponding to at least one basic evaluation data.

The difficulty equalization coefficient is D1 and the evaluation equalization coefficient is D2.

The comprehensive evaluation score of the customer service staff can be calculated by using the following formula:

Score＝(A1*B1*C1+A2*B2*C2+A3*B3*C3+A4*B4*C5+A5*B5*C5)*D1*D2。

the following describes the scheme of the present application by taking a scenario in which a network customer service person adds a service profile as an example, where a user refers to the customer service person, at least one working parameter data refers to at least one service data of the customer service person, and the service record data of the customer service person is generated in a process in which the customer service person actually provides a network service for a service object.

As shown in fig. 7, customer service personnel may provide network customer service to service objects in local blockchain node M1. In the customer service staff service process, the data server M2 may collect specific service record data 701 of a user in the local blockchain node M1; then, the data server analyzes the service record data of the customer service personnel to obtain at least one service data 702; and sends the at least one service data to the local blockchain node 703.

The local block chaining node M1 comprehensively processes the at least one service data to obtain comprehensive evaluation data 704 of the customer service personnel; sending the composite evaluation data to at least one remote blockchain node 705.

At least one remote blockchain node M3 receives the comprehensive evaluation data 706 of the customer service sent by the local blockchain node M1; then, at least one service data 707 of the customer service personnel is obtained; comprehensively processing the at least one service data 708 to obtain verification data; verifying 709 the comprehensive evaluation data based on verification data; the verification result is fed back to the local blockchain node 710.

The local blockchain node M1 receives the verification result 711 fed back by at least one remote blockchain node M3; if the verification of the comprehensive evaluation data by the at least one remote block link node is successful, the comprehensive evaluation data is respectively stored to the local block link node and the at least one remote block link node according to a block link data structure 712.

The storing the comprehensive evaluation data to the at least one remote block link boundary node according to a block link structure specifically includes: and the local block chain node sends a storage instruction to at least one remote block chain node so that the at least one remote block chain link point can store the comprehensive evaluation data according to a block chain data structure.

At least one remote block link node M3 stores the composite rating data in a block link structure in response to the instruction to store the composite rating data.

For convenience of description, only one remote node is shown in the embodiment shown in fig. 7, and in practical applications, a plurality of remote nodes may be included, and the storage of the comprehensive evaluation data of the customer service may be implemented.

Because the comprehensive evaluation file of the customer service staff can be inquired by the nodes in any block chain, the comprehensive evaluation file can be used as the basis for job hunting, value increasing, training and the like of the customer service staff, and the utilization rate of the comprehensive evaluation file is improved.

Through the embodiment of the application, the comprehensive evaluation file can be established for customer service personnel, and the stability and the accuracy of data can be ensured through block chain link point storage.

As shown in fig. 8, a schematic structural diagram of an embodiment of a data processing apparatus provided in the present application may include:

the first obtaining module 801: for obtaining at least one operating parameter data of the user.

The first processing module 802: the system is used for comprehensively processing the at least one working parameter data to obtain the working evaluation data of the user.

The first saving module 803: and the system is used for storing the work evaluation data to a plurality of blockchain nodes according to a blockchain data structure.

The work evaluation data can intuitively reflect the work evaluation of the user, and the application range of the data is improved. The work evaluation data is stored into a plurality of block chain nodes according to a block structure, and operation is difficult for changing the work evaluation data of the plurality of block chain nodes, so that the block data is not easy to be simultaneously tampered, the work evaluation data of a user is protected to a certain extent, and the safety of the work evaluation data is improved. In addition, because the plurality of block chain nodes store the working evaluation data of the user, the evaluation data of the user can be inquired, the application range of the user evaluation data is expanded, and the utilization rate of the user evaluation data is improved.

As an example, the plurality of block link points may include: a local blockchain node and at least one remote blockchain node;

the first saving module may include:

a first sending unit, configured to send the work evaluation data to the at least one remote blockchain node, so that any remote blockchain node verifies the work evaluation data based on verification data.

Optionally, the local blockchain node may comprehensively process the at least one operating parameter data according to a predetermined evaluation algorithm to obtain operating evaluation data. At least one remote blockchain node may receive the work evaluation data sent by the local blockchain node and validate the received work evaluation data. As a possible implementation manner, the at least one remote blockchain data may respectively obtain at least one working evaluation data of the user, and comprehensively process the at least one working parameter data according to a predetermined evaluation algorithm to obtain the verification data.

Validating, by the at least one blockchain node, the job evaluation data based on the validation data may include: and judging whether the verification data is the same as the work evaluation data, if so, successfully verifying, and if not, failing to verify. A first storing unit, configured to, if the at least one remote block link node verifies that the work evaluation data is successful, store the work evaluation data to a local block link node and the at least one remote block link node according to a block link data structure, respectively.

Optionally, the storing the working evaluation data to the local blockchain node and the at least one remote blockchain link node according to the blockchain data structure may include generating the working evaluation data into blockchain data according to the blockchain data structure by the local blockchain node and the at least one remote blockchain node, and storing the generated blockchain data locally.

Optionally, the block generation node may be configured to generate block data from the work evaluation data according to a data structure of the block, and send the generated block data to the local blockchain node and the at least one remote blockchain node for storage.

The first processing module may include:

the first determining unit is used for determining at least one basic evaluation data used for evaluating the working condition of the user and at least one balance data used for balancing the evaluation difference in the at least one working parameter data.

And the first calculation unit is used for weighting the at least one working parameter data based on the respective weighting coefficient of the at least one basic evaluation data to obtain a weighting result.

And the second determination unit is used for determining that the at least one balance data corresponds to at least one balance coefficient based on a balance rule.

And the second calculation unit is used for calculating the product of the weighting result and all balance coefficients to obtain the work evaluation data of the user.

In some embodiments, weighting at least one piece of basic evaluation data may include multiplying the work parameter score corresponding to the at least one piece of basic evaluation data by a corresponding weight coefficient, and adding the products of the work evaluation score corresponding to each piece of basic evaluation data and the corresponding weight coefficient to obtain the work evaluation data of the user.

As one embodiment, the first calculation unit includes:

and the coefficient calculating subunit is used for determining the respective weight coefficient of the at least one piece of basic evaluation data according to the preset coefficient corresponding to the at least one piece of basic evaluation data and the influence factor corresponding to the at least one piece of basic evaluation data.

And the weighting calculation subunit is used for performing weighting processing on the at least one piece of working parameter data based on the respective weighting coefficient of the at least one piece of basic evaluation data to obtain a weighting result.

The coefficient calculation subunit is specifically configured to:

and determining a time attenuation coefficient corresponding to the first parameter data aiming at the first parameter data. And calculating the product of the time attenuation coefficient and a preset coefficient of the first parameter data to obtain a weight coefficient corresponding to the first parameter data.

In some embodiments, the coefficient calculation subunit may be further specifically configured to:

determining a number of repetitions of the at least one basic evaluation data within a predetermined unit time; determining a marginal attenuation coefficient of the at least one basic evaluation datum according to the repetition times; and respectively calculating products of the marginal attenuation coefficient and a preset coefficient corresponding to the at least one piece of basic evaluation data to obtain weight coefficients corresponding to the at least one piece of basic evaluation data.

As yet another embodiment, at least one balance data for balancing evaluation differences among the at least one operational parameter data includes a second parameter data representing a type of work of the user;

the second determination unit may include:

a first determining subunit, configured to determine, for the second parameter data, a difficulty level coefficient of a work type indicated by the second parameter data;

and the second determining subunit is used for determining the difficulty equalization coefficient as an equalization coefficient.

As yet another embodiment, at least one balance data for balancing the evaluation difference among the at least one operational parameter data includes a third parameter data having an evaluation attribute;

the second determination unit may include:

a third determining subunit, configured to determine, for the third parameter data, an evaluation equalization coefficient corresponding to the third parameter data;

and the fourth determining subunit is used for determining the evaluation equalization coefficient as an equalization coefficient.

As an embodiment, the first obtaining module may include:

the first acquisition unit is used for acquiring at least one working parameter data of the user from a data server; wherein the at least one working parameter data is obtained by the data server through analysis based on the working record data of the user.

By balancing the user evaluation, the work evaluation data which is more similar to the current work state of the user is obtained, so that the reliability of the work evaluation data is improved.

In one possible design, the data processing apparatus of the embodiment shown in fig. 8 may be implemented as a data processing device, as shown in fig. 9, which may include: a processor 901, a memory 902 connected to the processor;

the memory 902 stores one or more computer program instructions; the computer program instructions to be invoked and executed by the processor;

the processor 901 is configured to:

As shown in fig. 10, a schematic structural diagram of another embodiment of a data processing apparatus provided in the embodiment of the present application, the apparatus may include:

a first receiving module 1001, configured to receive work evaluation data sent by any blockchain node.

And the work evaluation data is obtained by acquiring at least one piece of work parameter data of a user corresponding to any block link point and comprehensively processing the at least one piece of work parameter data.

A second storing module 1002, configured to store the work evaluation data according to a block chain data structure.

Optionally, the first receiving module of any blockchain node may receive a data query request for any user.

In some embodiments, the second saving module in fig. 10 may include:

the first verification unit is used for verifying the work evaluation data based on verification data and feeding back a verification result to any one block chain node; wherein the verification data is obtained by comprehensively processing the at least one working parameter data.

And the first response unit is used for responding to the storage instruction of any one of the blockchain nodes and storing the work evaluation data according to a blockchain data structure.

In one possible design, the data processing apparatus of the embodiment shown in fig. 10 may be implemented as a data processing device, as shown in fig. 11, which may include: a processor 1101, a memory 1102 connected to the processor;

the memory 1102 stores one or more computer program instructions; the computer program instructions to be invoked and executed by the processor;

the processor 1101 is configured to:

receiving work evaluation data sent by any block chain node; the working evaluation data is obtained by acquiring at least one working parameter data of a user corresponding to any block link point and comprehensively processing the at least one working parameter data; and storing the work evaluation data according to a block chain data structure.

As an embodiment, the saving, by the processor 1101, the work evaluation data according to the block chain data structure may specifically be:

verifying the work evaluation data based on verification data, and feeding back a verification result to any one block chain node; wherein, the verification data is obtained by comprehensively processing the at least one working parameter data; and responding to the storage instruction of any one block chain node, and storing the work evaluation data according to a block chain data structure.

As shown in fig. 12, a schematic structural diagram of an embodiment of a data query apparatus provided for the embodiment of the present application, the apparatus may include:

the second receiving module 1201: for receiving a data query request for any user;

the first query module 1202: the system comprises a local block chain node, a user interface and a user interface, wherein the local block chain node is used for inquiring work evaluation data corresponding to any user; the work evaluation data is obtained by comprehensively processing at least one work parameter data of any user by a local block chain node, and is stored into the local block chain node and at least one remote block chain node according to a block chain data structure; the at least one working parameter data is obtained based on the analysis of the working record data of the user;

the first output module 1203: for outputting the job evaluation data.

The user's job rating data, which is maintained in the form of tile data in a plurality of blockchain nodes, may be queried. The application scene of the work evaluation data can be improved through the query of the work evaluation data, and the utilization rate of the work evaluation data is improved.

As an embodiment, the apparatus shown in fig. 12 may further include:

a second query module, configured to query, if the work evaluation data corresponding to the any user is not queried from the local blockchain node, the work evaluation data corresponding to the any user from at least one remote blockchain node associated with the local blockchain node;

In a possible design, the data query apparatus in the embodiment shown in fig. 12 may be implemented as a data query device, as shown in fig. 13, which is a schematic structural diagram of another embodiment of a data query device provided in the embodiment of the present application, and the device may include: a processor 1301, a memory 1302 connected to the processor 1302;

the memory 1302 stores one or more computer program instructions; the computer program instructions are to be invoked and executed by the processor 1301;

the processor 1301 is configured to:

For one embodiment, the processor 1310 may be further configured to:

if the work evaluation data corresponding to any user is not inquired and obtained from the local blockchain node, the work evaluation data corresponding to any user is inquired from at least one remote blockchain node related to the local blockchain node;

As shown in fig. 14, a schematic structural diagram of another embodiment of a data processing apparatus provided in the embodiment of the present application, the apparatus may include:

the second acquisition module 1401: the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring at least one service data of customer service personnel; wherein the at least one service data is obtained based on service record data analysis of the customer service personnel;

the second processing module 1402: the comprehensive evaluation data is used for comprehensively processing the at least one service data to obtain comprehensive evaluation data of the customer service personnel;

the third saving module 1403: and the comprehensive evaluation data is stored to a plurality of block chain nodes according to a block chain data structure.

The block chain technology is utilized to establish the service file for the customer service personnel, so that the safety and the reliability of the comprehensive evaluation data of the customer service personnel are higher, and the utilization value and the reference value are higher. The block data is not easy to be simultaneously tampered, and the comprehensive evaluation data of customer service personnel is protected to a certain extent, so that the safety of the comprehensive evaluation data is improved. In addition, because the plurality of block chain nodes store the comprehensive evaluation data of the customer service staff, the evaluation data of the customer service staff can be inquired, the application range of the evaluation data of the customer service staff is expanded, and the utilization rate of the evaluation data is improved.

In a possible design, the data processing apparatus in the embodiment shown in fig. 14 may be implemented as a data processing device, as shown in fig. 15, which provides a schematic structural diagram of an embodiment of a data processing device for the embodiment of the present application, and the device may include: a processor 1501, a memory 1502 connected to the processor 1501;

the memory 1502 stores one or more computer program instructions; the computer program instructions are to be invoked and executed by the processor 1501;

the processor 1502 is configured to:

As shown in fig. 16, a schematic structural diagram of an embodiment of a data processing system provided in the present application is characterized in that the system includes a plurality of block link points 1601;

when any one of the block link nodes in the plurality of block link points 1601 is used as a local block link node 1602, at least one piece of working parameter data corresponding to a user is acquired; wherein the at least one working parameter data is obtained based on the analysis of the working record data of the user; comprehensively processing the at least one working parameter data to obtain working evaluation data of the user; the work evaluation data is saved to the local blockchain node 1602 and at least one remote blockchain link point 1603 according to a blockchain data structure.

The specific steps of the local blockchain node 1601 storing the work evaluation data as blockchain data to the local blockchain node and at least one remote blockchain node are as follows:

sending the work evaluation data to the at least one remote blockchain node; obtaining verification results fed back by the at least one remote block link point 1603; and if the at least one remote block chain link point successfully verifies the work evaluation data, storing the work evaluation data to the local block chain node and the at least one remote block chain node.

The at least one remote blockchain node 1603 is configured to verify the work evaluation data based on verification data and feed back verification results to the local blockchain node. Wherein the verification data is obtained by comprehensively processing the at least one working parameter data for the remote block link points.

As shown in fig. 17, a schematic structural diagram of another embodiment of a data processing system provided in the embodiment of the present application is different from the embodiment shown in fig. 16 in that the data processing system may further include: data server 1603;

the data server 1603 is configured to obtain at least one working parameter data of a user based on a working record data analysis of the user;

the local blockchain node 1601 acquires at least one working parameter data of the user, specifically, acquires the at least one working parameter data from the data server;

the remote blockchain node 1602 is further configured to obtain at least one operating parameter data of the user from the data server; and comprehensively processing the at least one working parameter data to obtain verification data.

In the embodiment of the application, at least one piece of working parameter data obtained by a local blockchain node is verified aiming at least one remote blockchain node in a blockchain, and user evaluation data are respectively stored in the local blockchain node and the at least one remote blockchain node according to blockchain data results after verification is successful. The reliability and the safety of the user work data can be improved through the verification work of the remote node, so that the effectiveness of the work evaluation of the user is higher, the recognition degree of the work evaluation is improved, and the use range of the user work evaluation data can be expanded.

It should be noted that the plurality of blockchain nodes and the connection relationships shown in fig. 16 and 17 are exemplary, the number of the plurality of blockchain nodes and the connection relationships are not limited in this embodiment, and any plurality of blockchain nodes, when connected in a certain number and in a certain connection relationship, belong to the protection content in this embodiment.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RMM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments or some parts of the embodiments.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.

Claims

1. A data processing method, comprising:

2. The method of claim 1, wherein the plurality of block link points comprises: a local blockchain node and at least one remote blockchain node;

the saving the work evaluation data as block data to a plurality of block chain nodes includes:

sending the work evaluation data to the at least one remote blockchain node for any remote blockchain node to verify the work evaluation data based on verification data; wherein the verification data is obtained by comprehensively processing the at least one working parameter data for any one of the remote blockchain nodes;

and if the at least one remote block chain link point successfully verifies the work evaluation data, respectively storing the work evaluation data to a local block chain node and the at least one remote block chain node according to a block chain data structure.

3. The method of claim 1, wherein said synthetically processing said at least one operational parameter data to obtain said user's work evaluation data comprises:

4. The method according to claim 3, wherein the weighting the at least one operation parameter data based on the respective weighting coefficients of the at least one basic evaluation data, and obtaining the weighted result comprises:

determining a weight coefficient of each basic evaluation data according to a predetermined coefficient corresponding to each basic evaluation data and an influence factor corresponding to each basic evaluation;

5. The method of claim 4, wherein at least one base evaluation data for evaluating a user's performance in the at least one operational parameter data comprises a first parameter data having a time attribute;

determining a time attenuation coefficient corresponding to the first parameter data aiming at the first parameter data;

6. The method according to claim 4, wherein the determining the respective weighting factor of the at least one basic evaluation data according to the predetermined factor corresponding to the at least one basic evaluation data and the influence factor corresponding to the at least one basic evaluation data comprises:

7. The method of claim 3, wherein at least one of the at least one operational parameter data for balance evaluation differences comprises second parameter data indicative of a type of operation of the user;

8. The method of claim 3, wherein at least one of the at least one operational parameter data for balancing evaluation differences comprises a third parameter data having an evaluation attribute;

and determining the evaluation balance coefficient as a balance coefficient.

9. The method of claim 1, wherein said obtaining at least one operating parameter data of a user comprises:

10. A data processing method, comprising:

and storing the work evaluation data according to a block chain data structure.

11. The method of claim 10, wherein storing the job rating data in a blockchain data structure comprises:

verifying the work evaluation data based on verification data, and feeding back a verification result to any one block chain node; wherein, the verification data is obtained by comprehensively processing the at least one working parameter data;

and responding to the storage instruction of any one block chain node, and storing the work evaluation data according to a block chain data structure.

12. A method for querying data, comprising:

receiving a data query request aiming at any user;

and outputting the work evaluation data.

13. The method of claim 12, further comprising:

14. A data processing method, comprising:

15. A data processing apparatus, comprising:

16. A data processing apparatus, comprising:

17. A data query apparatus, comprising:

and the first output module is used for outputting the work evaluation data.

18. A data processing apparatus, comprising:

19. A data processing apparatus, characterized by comprising: a processor, a memory coupled to the processor;

the processor is configured to:

20. A data processing apparatus, characterized by comprising: a processor, a memory coupled to the processor;

the processor is configured to:

and storing the work evaluation data according to a block chain data structure.

21. A data query device, comprising: a processor, a memory coupled to the processor;

the processor is configured to:

22. A data processing apparatus, characterized by comprising: a processor, a memory coupled to the processor;

the processor is configured to:

23. A data processing system, characterized in that the system comprises a plurality of blockchain nodes;

24. The system of claim 23, wherein the local blockchain node saving the operational assessment data as blockchain data to the local blockchain node and at least one remote blockchain node is in particular:

sending the work evaluation data to the at least one remote blockchain node; obtaining a verification result fed back by the at least one remote block link point; if the at least one remote block chain link point successfully verifies the work evaluation data, storing the work evaluation data to the local block chain node and the at least one remote block chain node;

the at least one remote block chain link point is used for verifying the work evaluation data based on verification data and feeding back a verification result to the local block chain link node; wherein the verification data is obtained by comprehensively processing the at least one working parameter data for the remote block link points.

25. The system of claim 23, further comprising: a data server;

the data server is used for analyzing and obtaining at least one working parameter data of a user based on the working record data of the user;

the local blockchain node acquires at least one working parameter data of the user, specifically, the at least one working parameter data is acquired from the data server;

the remote blockchain node is further used for acquiring at least one working parameter data of the user from the data server; and comprehensively processing the at least one working parameter data to obtain verification data.