CN115240316B - Chained voting method and device for knowledge management - Google Patents
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Abstract
The application relates to a chain voting method and a device for knowledge management, wherein the method comprises the following steps: verifying the knowledge item creation qualification of the enterprise knowledge management account and the knowledge item voting qualification of the enterprise knowledge management account, and issuing a virtual coin of an initial amount to each enterprise knowledge management account; creating an enterprise knowledge management account of the knowledge item, transferring a virtual coin to the knowledge item, and generating an originating node of the knowledge item; the enterprise knowledge management account of the investment knowledge item generates voting nodes of the knowledge item according to the voting sequence of the same knowledge item; according to a preset reddening rule, verifying the reddening profits of all nodes under the same knowledge item, and grazing the virtual coin balance of all enterprise knowledge management accounts in the platform according to the reddening profits of all nodes; and calculating the reddening returns of the enterprise knowledge management accounts in each node to determine voting results of each enterprise knowledge management account.
Description
Technical Field
The application relates to the technical field of computers, in particular to a chain voting method and device for knowledge management.
Background
With the development of internet technology, electronic voting gradually replaces the traditional voting mode, and is widely applied to daily life. When a voting project is started, a user can conduct online non-responsibility voting through the electronic voting system, and when the voting project is ended, the electronic voting system automatically counts the number of votes or the system management conducts the number of votes to obtain a voting result. The non-responsibility voting method is easy to breed putrefaction in the voting process due to user anonymity and unsupervised in the voting process, and is not generally hooked with personal interests, does not need to bear responsibility for messy voting, so that the voting result is not objective, and the voting enthusiasm of the user is not high.
In view of the above problems, no effective solution has been proposed at present.
Disclosure of Invention
In order to solve or partially solve the problems existing in the related art, the application provides a chain voting and device for knowledge management, which can improve the enthusiasm of user voting and ensure the creditability of the user voting.
In a first aspect, the present application provides a chain voting method for knowledge management, comprising:
Verifying the knowledge item creation qualification of the enterprise knowledge management account and the knowledge item voting qualification of the enterprise knowledge management account, issuing a virtual coin with an initial amount to each enterprise knowledge management account, wherein the amount of the enterprise knowledge management account transferring virtual coin represents a voting instruction of the enterprise knowledge management account;
Creating an enterprise knowledge management account of the knowledge item, transferring a virtual coin to the knowledge item, and generating an originating node of the knowledge item;
The enterprise knowledge management account of the investment knowledge item generates voting nodes of the knowledge item according to the voting sequence of the same knowledge item, and writes the virtual monetary value transferred in the voting process into the voting nodes;
according to a preset reddening rule, verifying the reddening profits of all nodes under the same knowledge item, and grazing the virtual coin balance of all enterprise knowledge management accounts in the platform according to the reddening profits of all nodes;
And calculating the reddening returns of the enterprise knowledge management accounts in each node to determine the voting results of the enterprise knowledge management accounts, and writing the voting results into the voting nodes and the originating nodes.
Optionally, the virtual coin carries a timestamp, and the initial timestamp of the virtual coin is the issuing time of the virtual coin.
Optionally, during transfer of the virtual currency and/or predation of the virtual currency, if the net asset of the enterprise knowledge management account is negative, the enterprise knowledge management account generates a virtual currency borrow and writes the virtual currency borrow into a node of the account.
Optionally, according to a preset scoring rule, verifying the scoring benefits of each node under the same knowledge item, including:
Identifying voting nodes and originating nodes before an nth voting node when the nth voting node is verified;
The method comprises the steps that the reddening profits generated by enterprise knowledge management accounts corresponding to voting nodes are sequentially increased, and under the condition of investment of the same amount, the reddening profits of enterprise knowledge management accounts of the N-1 voting nodes are larger than the reddening profits of the N-2 enterprise knowledge management accounts.
Optionally, managing the virtual coin balance of the account according to all enterprise knowledge in the red-colored income-swiping platform of each node comprises:
determining a virtual monetary value transferred to the enterprise knowledge management account according to the red-out income of the enterprise knowledge management account;
and sequentially transferring virtual coins in the balance of all enterprise knowledge management accounts according to the sequence of the time stamps from far to near until the transferred virtual monetary value of the enterprise knowledge management accounts is equal to the red-colored income monetary value of each enterprise knowledge management account.
Optionally, the voting result includes a contribution degree generated by creating a knowledge item by the enterprise knowledge management account and a contribution degree generated by voting a knowledge item by the enterprise knowledge management account, and calculating a reddish profit of the enterprise knowledge management account in each node to determine the voting result of each enterprise knowledge management account, including:
Calculating the contribution total income generated by the establishment of knowledge items of the enterprise knowledge management account and the contribution total income generated by the voting knowledge items of the enterprise knowledge management account respectively according to the reddening income of each node in the enterprise knowledge management account and the virtual coin balance of each knowledge management account;
Calculating contribution degree generated by creating knowledge items of the enterprise knowledge management account according to the contribution total income generated by creating the knowledge items of the enterprise knowledge management account;
And calculating the contribution degree generated by the voting knowledge items of the enterprise knowledge management account according to the contribution total income generated by the voting knowledge items of the enterprise knowledge management account.
Optionally, the voting result further includes ranking results of the knowledge items in the knowledge platform, calculating the reddening returns of the enterprise knowledge management accounts in the nodes to determine the voting result of the enterprise knowledge management accounts, including:
Counting the red earnings corresponding to each node under each knowledge item;
And ranking the knowledge items in the knowledge management platform according to the total reddening benefits corresponding to the knowledge items, wherein the higher the ranking of the knowledge items is, the greater the reddening benefits corresponding to the knowledge items are.
In a second aspect the present application provides a chain voting apparatus for knowledge management, comprising:
The checking unit is used for checking the knowledge item creation qualification and the knowledge item voting qualification of the enterprise knowledge management account, issuing a virtual coin with an initial amount to each enterprise knowledge management account, and transferring the amount of the virtual coin by the enterprise knowledge management account to represent a voting instruction of the enterprise knowledge management account;
the first class node unit is used for creating an enterprise knowledge management account of the knowledge item, transferring a virtual coin to the knowledge item and generating an originating node of the knowledge item;
The second class node unit is used for generating voting nodes of the knowledge items according to the voting sequence of the same knowledge items by the enterprise knowledge management account of the investment knowledge items and writing the virtual monetary value transferred in the voting process into the voting nodes;
the scoring unit is used for verifying the scoring income of each node under the same knowledge item according to a preset scoring rule and skimming the virtual coin balance of all enterprise knowledge management accounts in the platform according to the scoring income of each node;
And the voting result unit is used for calculating the reddening returns of the enterprise knowledge management accounts in the nodes so as to determine the voting result of each enterprise knowledge management account.
A third aspect of the present application provides an electronic apparatus, comprising:
A processor; and
A memory having executable code stored thereon which, when executed by a processor, causes the processor to perform the method as above.
A fourth aspect of the application provides a computer readable storage medium having executable code stored thereon, which when executed by a processor of an electronic device causes the processor to perform a method as above.
The technical scheme provided by the application can comprise the following beneficial effects:
Verifying the knowledge item creation qualification of the enterprise knowledge management account and the knowledge item voting qualification of the enterprise knowledge management account, issuing a virtual coin with an initial amount to each enterprise knowledge management account, wherein the amount of the enterprise knowledge management account transferring virtual coin represents a voting instruction of the enterprise knowledge management account; creating an enterprise knowledge management account of the knowledge item, transferring a virtual coin to the knowledge item, and generating an originating node of the knowledge item; the enterprise knowledge management account of the investment knowledge item generates voting nodes of the knowledge item according to the voting sequence of the same knowledge item, and writes the virtual monetary value transferred in the voting process into the voting nodes; according to a preset reddening rule, verifying the reddening profits of all nodes under the same knowledge item, and grazing the virtual coin balance of all enterprise knowledge management accounts in the platform according to the reddening profits of all nodes; and calculating the reddening returns of the enterprise knowledge management accounts in each node to determine voting results of each enterprise knowledge management account.
The data stored in each node has the characteristic of non-falsification, so that the voting data can be prevented from being lost, the safety of the user data is ensured, meanwhile, the generation of the nodes in sequence ensures the timeliness of the generation of the user nodes, and each voting is influenced by the historical voting users through the verification of the reddening rule of the historical voting nodes, so that the account of the previous voting can generate benefits due to the voting action of the subsequent users, the user benefits of the earlier voting are higher, the enthusiasm of the user voting is improved, and the contribution degree of each enterprise knowledge management account is conveniently calculated according to the voting time point.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application as claimed.
Drawings
The foregoing and other objects, features and advantages of the application will be apparent from the following more particular descriptions of exemplary embodiments of the application as illustrated in the accompanying drawings wherein like reference numbers generally represent like parts throughout the exemplary embodiments of the application.
FIG. 1 is a schematic illustration of an application environment for a chain voting method for knowledge management in accordance with an embodiment of the present application;
FIG. 2 is a flow diagram of a chain voting method for knowledge management, as shown in an embodiment of the present application;
FIG. 3 is a flow chart of verifying a preset red rule according to an embodiment of the present application;
FIG. 4 is another flow chart of a method for organization-oriented knowledge management in accordance with an embodiment of the application;
FIG. 5 is another flow chart of a method for organization-oriented knowledge management in accordance with an embodiment of the application;
FIG. 6 is a schematic diagram of a chain voting apparatus for knowledge management in accordance with an embodiment of the present application;
Fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While embodiments of the present application are illustrated in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the application to those skilled in the art.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any or all possible combinations of one or more of the associated listed items.
It should be understood that although the terms "first," "second," "third," etc. may be used herein to describe various information, these information should not be limited by these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the application. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present application, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
For the sake of easy understanding of the embodiments of the present application, several terms appearing in the embodiments of the present application are described below.
For ease of understanding, some of the terms referred to in the embodiments of the present invention are briefly described below:
The node may be data for recording votes of enterprise knowledge management accounts, or may be a network node for running a program. In the embodiment of the application, the nodes are divided into voting nodes and originating nodes, and the originating nodes record the nodes for creating the knowledge items after creating the knowledge items for the enterprise knowledge management account; and after the voting node votes the knowledge items for the enterprise knowledge management account, the voted knowledge items and nodes of the voting sequence are recorded.
Chain voting refers to the same chain accounting process of sequentially recording an originating node and a voting node according to the order of creating knowledge items and voting the knowledge items.
In the embodiment of the application, the virtual coins are used for voting instructions of the enterprise knowledge management account, and the virtual coins can be voted in integer units or in decimal or percentage form, for example, 0.3 virtual coins are invested. The relative amount of the virtual coin is used to indicate how much to vote. The virtual coin comprises an attribute, the virtual coin is transferred in the process of investing the process knowledge item, the attribute is changed into an untransferrable state, the transfer attribute of the virtual coin is unchanged in the process of predation, and the account identifier carried by the virtual coin is changed according to the process of predation.
The knowledge management platform is used for creating an enterprise knowledge management account for enterprise users, managing knowledge items through the enterprise knowledge management account, wherein the enterprise knowledge management account is used for creating the knowledge items according to user instructions and distributing initial virtual coin funds to the knowledge items, the enterprise knowledge management account is used for creating the knowledge items according to the user instructions and investing the initial funds to the knowledge items, and the enterprise knowledge management account is used for investing the virtual coin funds to the knowledge items according to the user instructions. The knowledge management platform needs to create enterprises when being started, and initializes the enterprise information, departments and other data. The knowledge management platform operates by requiring virtual coins, and therefore requires a certain amount of virtual coins to be inserted for initial allocation to the user for initial funds.
Knowledge items refer to items created by each enterprise knowledge management account according to analysis knowledge of the enterprise knowledge management account, and each piece of knowledge is stored in a knowledge management platform in the form of knowledge items. The knowledge creator creates knowledge in the cloud platform, puts a certain amount of virtual currency as registration funds, and then publishes the knowledge.
Knowledge IPO (Initial Public Offering, first public share recruitment) refers to the process of a user investing in different knowledge items according to virtual coins issued by the system, thereby obtaining benefits and branches. The excitation mechanism established according to the knowledge IPO principle is a key and basis for ensuring the operation of the knowledge IPO system. The enterprise needs to reform an enterprise knowledge assessment incentive mechanism according to the requirement of knowledge IPO, and takes virtual coins (virtual coins) as the center to carry out assessment incentive on enterprise knowledge from physical incentive, mental incentive and professional promotion.
Initial net asset: when the user registers, the system issues the virtual coin with the initial amount as the initial net asset of the user, does not directly participate in the predation, does not act as liability, and does not generate virtual coin borrowing.
Total liabilities: i.e., the total amount borrowed, when the balance of the user is negative, liabilities are generated from the system borrowing, and the sum of all borrowing records is the total liabilities.
The total assets of the enterprise knowledge management account refers to the total balance of all virtual coins in the account.
Fund pool: and establishing a fund pool, so that the user can directly use the knowledge investment or the knowledge contribution, the fund pool participates in the predation, and the contribution income and the investment income of the user directly flow into the fund pool.
With the development of internet technology, electronic voting gradually replaces the traditional voting mode, and is widely applied to daily life. When a voting project is started, a user can conduct online non-responsibility voting through the electronic voting system, and when the voting project is ended, the electronic voting system automatically counts the number of votes or the system management conducts the number of votes to obtain a voting result. The non-responsibility voting method can cause low employee enthusiasm due to user anonymity and unsupervised voting process, and the non-responsibility voting method is easy to breed putrefaction of the comment process.
In view of the above problems, no effective solution has been proposed at present.
Alternatively, in the present embodiment, the above-described organization-oriented knowledge management method may be applied to a hardware environment constituted by the server 102 and the terminal 104 as shown in fig. 1. As shown in fig. 1, server 102 is connected to terminal 104 via a network including, but not limited to: the terminal 104 is not limited to a PC, a mobile phone, a tablet computer, etc., but is a wide area network, a metropolitan area network, or a local area network. The organization-oriented knowledge management method in the embodiment of the invention can be executed by the server 102, the terminal 104 or both the server 102 and the terminal 104. The method for managing the organization-oriented knowledge by the terminal 104 according to the embodiment of the invention may be performed by a client installed on the terminal.
It should be understood that the number of terminal devices, networks and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
FIG. 2 is a schematic flow diagram of chain voting for knowledge management, as shown in an embodiment of the application.
Referring to fig. 2, the method specifically may include the following steps:
s201, checking the knowledge item creation qualification of the enterprise knowledge management account and the knowledge item voting qualification of the enterprise knowledge management account, issuing a virtual coin with an initial amount to each enterprise knowledge management account, and transferring the amount of the virtual coin by the enterprise knowledge management account to represent the voting instruction of the enterprise knowledge management account.
Prior to step S201, the enterprise creates enterprise knowledge management accounts for employees at the knowledge management platform, each of which may be used to create knowledge items only or may be used to invest in knowledge items only.
In one embodiment, the knowledge management platform creating the enterprise knowledge management account comprises: an enterprise establishes a knowledge assessment excitation system based on knowledge IPO; initializing enterprise data in a knowledge management platform; when the enterprise user registers the enterprise knowledge management account, the knowledge management platform automatically distributes virtual coins, and the enterprise knowledge management account issues knowledge items and inputs registered funds.
In this embodiment, when the enterprise knowledge management account is created, the enterprise knowledge management account corresponds to the personal virtual coin account, and the system issues the virtual coin of the initial amount to the personal virtual coin account as the initial net asset, and does not act as liability, and does not generate virtual coin borrowing. And the transfer and the predation of the enterprise knowledge management account to the virtual coin are recorded by a chained voting method, so that the non-tamper property and the traceability of the enterprise knowledge management account voting are ensured.
In the application, the time stamp is set in the transaction processes of issuing, lending and the like of the virtual coin. The time stamp can be updated in an overlaid manner according to the transaction condition, and the time stamp of the virtual coin displays the latest transfer time. The virtual currency also carries a user identifier for indicating the enterprise management account to which the virtual currency belongs.
In one embodiment, the enterprise knowledge management account generates liabilities, i.e., borrows, at the time of transactions, and borrows from the knowledge management platform when the net assets of the enterprise knowledge management account become negative, and all borrowing records sum to a total liabilities.
In this embodiment, when the enterprise knowledge management account is created, the enterprise knowledge management account corresponds to the personal virtual coin account, and the system issues the virtual coin of the initial amount to the personal virtual coin account as the initial net asset, and does not act as liability, and does not generate virtual coin borrowing. The knowledge management platform is also provided with a fund pool, each enterprise knowledge management account transfers virtual coins to the own fund pool and/or predates the virtual coins, the transfer virtual coins represent deduction of the virtual coins in the application, and virtual coin borrowing is required to be generated under the condition that the net asset of the enterprise knowledge management account is negative. The fund pool is established so as to be convenient for measuring the knowledge investment or the knowledge contribution degree of the user, the fund pool participates in predation, and the contribution income and the investment income of the user flow into the account balance of the enterprise knowledge management account through the fund pool.
S202, an enterprise knowledge management account for creating the knowledge item transfers virtual currency to the knowledge item and generates an originating node of the knowledge item.
The originating node carries a knowledge item identification and an enterprise knowledge management account identification that created the knowledge item. Step S202 simulates a bank account and a dealer transaction account of a market by creating a process of transferring virtual coins for a knowledge item, and determines the contribution degree of each enterprise knowledge management account by an IPO investment process between enterprise knowledge management accounts, but in this embodiment, in the knowledge IPO process, the virtual coins for creating the knowledge item transfer do not enter the knowledge item, but change the attribute of the virtual coins, the virtual coins for creating the knowledge item enter the system, and the enterprise knowledge management account for creating the knowledge item judges whether to generate virtual coin borrowing according to net assets. In the application, the number of the enterprise knowledge management accounts is limited, and only a single IPO process is involved in the confirmation process of each transaction benefit, namely, each transaction benefit only involves one enterprise knowledge management account and a plurality of enterprise knowledge management accounts.
In one embodiment, the net asset of the enterprise knowledge management account during the IPO is negative, the enterprise knowledge management account generates a virtual coin borrow and writes the borrow to the originating node.
S203, the enterprise knowledge management account of the investment knowledge item generates voting nodes of the knowledge item according to the voting sequence of the same knowledge item, and writes the virtual monetary value transferred in the voting process into the voting nodes.
In step S203, voting nodes are sequentially generated in the voting order, and are connected to the originating nodes of the same knowledge item. In one embodiment, the voting nodes carry time stamps for looking up the order of generation of the voting nodes based on the time stamps to read the chain voting accounting records of the knowledge items.
And S204, checking the reddening profits of all nodes under the same knowledge item according to a preset reddening rule, and grazing the virtual coin balance of all enterprise knowledge management accounts in the platform according to the reddening profits of all nodes.
The preset scoring rule in step S204 verifies the historical voting nodes during each voting node generation process, so as to realize the voting benefits of the voting nodes before the current voting node and the contribution benefits of the starting knowledge items.
Fig. 3 is a schematic flow chart of verifying preset red rules, taking fig. 3 as an example, where node 1 and node 6 are starting nodes, node 2, node 3, node 4, node 5, node 7, and node 8 are voting nodes, and the nodes form a chain vote according to the same knowledge item, that is, node 1 creates a knowledge item 1 corresponding to account 1, node 2, node 3, node 4, and node 5 sequentially invest in knowledge item 1 corresponding to account 2, account 3, account 4, and account 5 sequentially; node 6 corresponds to creation knowledge item 2, node 6, node 7 in turn corresponds to investment knowledge item 2.
Taking account 5 to invest knowledge item 1, generating voting node 5 as an example, when node 5 forms (i.e. account 5 completes voting), sequentially verifying preset reddening rules to node 1, node 2, node 3 and node 4, calculating reddening profits generated by each node according to the preset reddening rules by node 1, node 2, node 3 and node 4, and swiping virtual coins to corresponding accounts according to the reddening profits.
Taking account 8 to invest knowledge item 2, generating voting node 8 as an example, when node 8 (i.e. account 8 completes voting), verifying preset reddening rules to node 6 and node 7 in turn, node 6 and node 7 calculating reddening benefits generated by each node according to the preset reddening rules, and swiping virtual coins to corresponding accounts according to the reddening benefits.
In one embodiment, verifying the reddening benefits of each node under the same knowledge item according to a preset reddening rule includes: identifying voting nodes and originating nodes before an nth voting node when the nth voting node is verified; the method comprises the steps that the reddening profits generated by enterprise knowledge management accounts corresponding to voting nodes are sequentially increased, and under the condition of investment of the same amount, the reddening profits of enterprise knowledge management accounts of the N-1 voting nodes are larger than the reddening profits of the N-2 enterprise knowledge management accounts.
In one embodiment, the investment benefit of the enterprise knowledge management account is proportional to the investment amount and the contribution benefit of the enterprise knowledge management account is proportional to the investment amount.
Optionally, in this embodiment, the investment benefit of the enterprise knowledge management account is proportional to the investment amount and inversely proportional to the number of enterprise knowledge management accounts remaining by the knowledge management platform. The contribution gain of the enterprise knowledge management account is proportional to the investment amount and inversely proportional to the number of enterprise knowledge management accounts remaining in the knowledge management platform.
Specifically, taking N accounts as an example, a first account creates a knowledge item, and sets an initial amount for the knowledge item; the second account invests the knowledge items, and contribution profits obtained by the first account are calculated; the third account invests in the knowledge item, calculates the contribution income acquired by the first account, calculates the investment income acquired by the second account, invests in the knowledge item by the nth account, calculates the contribution income acquired by the first account, calculates the investment income acquired by the second account and the investment income acquired by the nth-1 account; and when each investment is carried out, generating corresponding benefits, wherein each benefit generates a predation virtual coin corresponding to the benefits, each virtual coin is correspondingly reddened, and the reddening adopts a method of recursively predating the virtual coin.
In one embodiment, managing virtual coin balances for accounts based on all enterprise knowledge within a reddish revenue robbed platform for each node includes: determining a virtual monetary value transferred to the enterprise knowledge management account according to the red-out income of the enterprise knowledge management account; and sequentially transferring virtual coins in the balance of all enterprise knowledge management accounts according to the sequence of the time stamps from far to near until the transferred virtual monetary value of the enterprise knowledge management account of each node is equal to the red monetary value of the enterprise knowledge management account of each node.
In this embodiment, each investment knowledge item corresponds to a transfer virtual coin, each transfer virtual coin corresponds to a calculation process of a bonus profit, each process of determining a bonus profit corresponds to a method of robbing a virtual coin, and each bonus profit passes through the process of robbing a virtual coin to determine a user's bonus profit by means of the robbing a virtual coin.
In this embodiment, the virtual coins are transferred in the order from far to near according to the time stamps, so as to make the virtual coins which do not generate transaction records be predated as much as possible, thereby ensuring that the enterprise knowledge management account with low investment frequency is first predated with the virtual coins in each investment process, reducing the actual income of the enterprise knowledge management account with low investment frequency, and encouraging the enterprise knowledge management account to invest knowledge items. Specifically, the remaining virtual coins of the account are ordered, and the virtual coins with the longest idle duration are limited to be predated. Because the account can generate borrowing in the investment process, the virtual coin time stamp of the borrowing is shortest, the virtual coin with the longest idle time is limited to be deprived, the account with the largest voting can be ensured to reduce liabilities, and the voting value can be calculated through the red income and the balance.
In one embodiment, when the balance in the fund pool is less than the monetary value of the revenue of the enterprise knowledge management account, all the virtual coins in all the fund pools are transferred, and the enterprise knowledge management account satisfying the preset borrowing condition generates a virtual coin borrowing, such that the remaining virtual monetary value of the balance in the enterprise knowledge management account is greater than the initial virtual monetary value, and the timestamp of the virtual coin generated by the borrowing is the time generated by the borrowing. In this embodiment, the default borrowing condition is that the net asset of the enterprise knowledge management account is negative.
In one embodiment, when the balance of the fund pool corresponding to the enterprise knowledge management account is greater than the amount to be predated, the amount to be predated is normally deducted without borrowing.
In one embodiment, when the balance of the fund pool corresponding to the enterprise knowledge management account is equal to the predated amount, the predated amount is deducted, and the balance of the fund pool is ensured to be at least a virtual monetary value of an initial balance, wherein when the net asset of the enterprise user is judged to be more than 0, the virtual coin of the initial amount is taken from the net asset to the fund pool, and no liability is generated at the moment, and no borrowing record is needed; when the net asset of the enterprise user is judged to be the negative number, the virtual currency of the initial amount is required to be borrowed from the system platform to the fund pool, and then liabilities are generated and borrowing information is recorded.
In one embodiment, when the balance of the fund pool corresponding to the enterprise knowledge management account is larger than the amount to be predated, the predation does not generate negative numbers, only the balance of the fund pool is deducted, and after the predation, virtual coins with at least the initial amount of the balance of the fund pool are ensured. Judging the net asset of the enterprise user at the moment, and taking quantitative virtual coins from the net asset to a fund pool when judging that the net asset of the enterprise user is more than 0, wherein liabilities are not generated at the moment, and borrowing records are not available; when the net assets of the enterprise users are judged to be negative numbers, quantitative virtual coins are required to be borrowed from the system platform to the fund pool, liabilities are generated at the moment, and borrowing information is recorded.
As shown in fig. 4, fig. 4 is a schematic flow chart of an initial investment phase of IPO performed by an enterprise knowledge management account, specifically including:
Step S401, comparing the fund pool balance of the enterprise knowledge management account with the size of the IPO starting amount used by the enterprise knowledge management account.
When it is determined that the balance of the fund pool of the enterprise knowledge management account is greater than the start amount, step S402 is performed to directly transfer the start amount from the fund pool.
When the balance of the fund pool of the enterprise knowledge management account is judged to be equal to or smaller than the starting amount, step S403 is performed, and the enterprise knowledge management account generates virtual coin borrowing and transfers the corresponding starting amount. Step S403, making the monetary value of the balance of the enterprise knowledge management account always larger than the virtual monetary value initially allocated.
In particular, when the pool balance is equal to the starting amount, it is ensured that the pool balance remains at least the virtual coin of the initial amount. Judging the net asset, and taking the virtual coin of the initial amount from the net asset to a fund pool when the net asset is judged to be more than 0; otherwise, when the equity is a negative number, the initial amount of virtual money is borrowed from the system to the fund pool, and then the liability is generated.
Specifically, when the balance of the fund pool is less than the starting (contribution) amount, virtual coins are borrowed from the equity deposit or system to the fund pool, and the minimum balance of the fund pool is ensured to be the virtual coins of the initial amount: when judging that the net asset is more than 0, taking quantitative virtual currency from the net asset to a fund pool, wherein the virtual currency value=the starting amount-the fund pool (original) +corresponds to the virtual currency value; conversely, when the equity is negative, a liability is generated from the system borrowing to the fund pool, and the borrowing amount=the starting amount-the fund pool (original) +the corresponding virtual monetary value.
As shown in fig. 5, fig. 5 is a schematic flow chart of enterprise knowledge management account investment, which specifically includes:
Step S501, comparing the size between the balance of the fund pool of the enterprise knowledge management account and the investment amount of the enterprise knowledge management account.
When it is determined that the balance of the fund pool of the enterprise knowledge management account is greater than the investment amount, step S502 is performed to directly transfer the investment amount from the fund pool.
When it is determined that the balance of the fund pool of the enterprise knowledge management account is equal to or smaller than the investment amount, step S503 is performed, and the enterprise knowledge management account generates a virtual coin borrow and transfers the corresponding investment amount. Step S503, the monetary value of the balance of the enterprise knowledge management account is always larger than the virtual monetary value which is originally allocated.
In particular, a virtual coin that guarantees at least an initial amount of the pool balance when the pool balance is equal to the investment amount; when the net asset is judged to be larger than 0, taking the virtual coin of the initial amount from the net asset to a fund pool; otherwise, when the equity is a negative number, the initial amount of virtual money is borrowed from the system to the fund pool, and then the liability is generated.
Optionally, when the balance of the fund pool is equal to the investment amount, borrowing virtual coins from the equity deposit or system to the fund pool, and further guaranteeing that the minimum balance of the fund pool is the virtual coins of the initial amount: and when the net asset is judged to be greater than 0, taking quantitative virtual coins from the net asset to a fund pool. Virtual coin value = start-fund pool (original) +corresponding virtual coin value; conversely, when the equity is negative, a liability is generated from the system borrowing to the fund pool. Borrow = start-up amount-fund pool (original) +corresponds to virtual monetary value.
Through the steps, the historical transaction data of the target enterprise knowledge management account in the knowledge management platform is obtained, the income of each enterprise knowledge management account is determined according to the historical transaction data, and the virtual currency corresponding to the income is distributed to the corresponding enterprise knowledge management account, so that the purpose that the target account generates the income in investment knowledge items according to the historical transaction data is achieved.
In step S205, the reddening returns of the enterprise knowledge management accounts in each node are calculated to determine the voting result of each enterprise knowledge management account.
In one embodiment, the voting results include a contribution by the enterprise knowledge management account creating knowledge items and a contribution by the enterprise knowledge management account voting knowledge items, and calculating the reddening returns of the enterprise knowledge management accounts in each node to determine the voting results of each enterprise knowledge management account includes: calculating contribution gains generated by creating knowledge items of the enterprise knowledge management account and contribution gains generated by voting the knowledge items of the enterprise knowledge management account respectively according to the reddening gains of all nodes in the enterprise knowledge management account and the virtual coin balance of all knowledge management accounts; calculating contribution degree generated by creating knowledge items of the enterprise knowledge management account according to contribution profits generated by creating the knowledge items of the enterprise knowledge management account; and calculating the contribution degree generated by the enterprise knowledge management account voting knowledge item according to the contribution benefits generated by the enterprise knowledge management account voting knowledge item.
The contribution degree of the enterprise knowledge management account to the knowledge item in step S204 includes the contribution degree generated by the creation of the knowledge item by the enterprise knowledge management account and the contribution degree generated by the voting of the knowledge item by the enterprise knowledge management account. Optionally, calculating the contribution degree of each enterprise knowledge management account to the knowledge item according to the virtual coin red income, the account balance and the virtual coin transferred in the process of predation, including: calculating contribution gains generated by creating knowledge items by the enterprise knowledge management account and contribution gains generated by voting the knowledge items by the enterprise knowledge management account respectively according to balance of the virtual coin generated by virtual coin red gain and the virtual coin transferred and generated in the process of predation; calculating contribution degree generated by creating knowledge items of the enterprise knowledge management account according to contribution profits generated by creating the knowledge items of the enterprise knowledge management account; and calculating the contribution degree generated by the enterprise knowledge management account voting knowledge item according to the contribution benefits generated by the enterprise knowledge management account voting knowledge item.
In one embodiment, the formula for calculating the virtual balance of the enterprise knowledge management account includes:
total asset = net asset + (total contribution + total investment benefit) - (total investment-total contribution-total predated) -total borrow.
Specifically, as shown in Table 1,
TABLE 1
In table 1, whether borrowing records: "yes" means that liabilities are generated, borrowing records are displayed, and "no" means that no liabilities are present; taking the number of virtual coins from the net asset, namely 'value number'; lending virtual coin quantity from the system, namely 'borrowing amount'; the number of the original fund pool virtual coins is called as a fund pool (original); the amount of virtual money remaining in the spent (contributed, invested, and predated) fund pool is simply referred to as "fund pool".
In table 1, the equity is the virtual coin balance of the enterprise knowledge management account, i.e., the enterprise knowledge management account that initially issued the virtual coin of the initial amount to the enterprise knowledge management account. The contribution total profit is the contribution profit of creating the knowledge item, and the investment total profit is the equity profit generated in the process of the enterprise knowledge management account investment knowledge item. The contribution total income and the investment total income are virtual coins which are obtained by reassigning the enterprise knowledge management account in the process of predation. The total amount of the predation is the virtual coin which is predated by the enterprise knowledge management account according to a preset predation rule, and the total amount of the borrowing is the sum of all borrowings generated in the virtual coin transaction process.
After calculating the contribution degree in step S204, further including: the platform forms various ranking charts according to the automatic statistical analysis of the virtual coins, including a knowledge chart (the amount of knowledge investment), a thousand-in Ma Bang (the creation of the profits generated by the knowledge), a bureau chart (the profits generated by the investment knowledge), and total profits (the creation of the knowledge profits+the investment knowledge profits). May be ranked from personal, department, etc. dimensions. Can generate the ranking of different periods of week, month, season, year, etc.
In this embodiment, the enterprise uses the virtual coin ranking list data to examine and excite individuals and departments according to the examination and excitation system. Knowledge creators can obtain a qianli prize, including departments and individuals, with motivation in the form of substance, spirit and promotion. Knowledge investors can obtain a Berry prize, including departments and individuals, with motivation in the form of substance, spirit and promotion.
In one embodiment, the voting results further include ranking results for each knowledge item within the knowledge platform, calculating the scoring benefits of the enterprise knowledge management accounts in each node to determine voting results for each enterprise knowledge management account, comprising: counting the red earnings corresponding to each node under each knowledge item; and ranking the knowledge items in the knowledge management platform according to the total reddening benefits corresponding to the knowledge items, wherein the higher the ranking of the knowledge items is, the greater the reddening benefits corresponding to the knowledge items are.
In this embodiment, the activity of the knowledge item is measured according to the profit result of the knowledge item, so as to determine the activity degree of the knowledge item.
The technical scheme provided by the application can comprise the following beneficial effects:
Verifying the knowledge item creation qualification of the enterprise knowledge management account and the knowledge item voting qualification of the enterprise knowledge management account, issuing a virtual coin with an initial amount to each enterprise knowledge management account, wherein the amount of the enterprise knowledge management account transferring virtual coin represents a voting instruction of the enterprise knowledge management account; creating an enterprise knowledge management account of the knowledge item, transferring a virtual coin to the knowledge item, and generating an originating node of the knowledge item; the enterprise knowledge management account of the investment knowledge item generates voting nodes of the knowledge item according to the voting sequence of the same knowledge item, and writes the virtual monetary value transferred in the voting process into the voting nodes; according to a preset reddening rule, verifying the reddening profits of all nodes under the same knowledge item, and grazing the virtual coin balance of all enterprise knowledge management accounts in the platform according to the reddening profits of all nodes; and calculating the reddening returns of the enterprise knowledge management accounts in each node to determine the voting results of the enterprise knowledge management accounts, and writing the voting results into the voting nodes and the originating nodes. The data stored in each node has the characteristic of non-falsification, so that the voting data can be prevented from being lost, the safety of the user data is ensured, meanwhile, the generation nodes in turn ensure the timeliness of the generation of the user nodes, and each time the historical voting nodes are subjected to the red verification to realize the influence of each time of the voting on the historical voting users, so that the previously voted accounts can generate benefits due to the voting actions of the subsequent users, the higher the user benefits of the earlier votes are, the enthusiasm of the user voting is improved, and the contribution degree of each enterprise knowledge management account is conveniently calculated according to the voting time point.
On the other hand, in the process of generating the nodes each time, the preset reddening rule is verified for a plurality of times for each node, and the historical profit of each reddening is calculated so as to realize that each voting has an influence on the historical voting, thereby giving value to the time stamp of the voting, namely, the earlier the time of the voting is, the larger the influence factor of the voting on the voting result is.
Fig. 6 is a schematic diagram of a chain voting apparatus for knowledge management according to an embodiment of the present application. The device comprises:
And the checking unit 601 is configured to check the knowledge item creation qualification and the knowledge item voting qualification of the enterprise knowledge management account, issue a virtual coin of an initial amount for each enterprise knowledge management account, and the amount of the enterprise knowledge management account transferring virtual coin represents a voting instruction of the enterprise knowledge management account.
Optionally, the virtual coin carries a timestamp, and the initial timestamp of the virtual coin is the issuing time of the virtual coin.
Optionally, during transfer of the virtual currency and/or predation of the virtual currency, if the net asset of the enterprise knowledge management account is negative, the enterprise knowledge management account generates a virtual currency borrow and writes the borrow to a node of the account.
A first class node unit 602, configured to create an enterprise knowledge management account for a knowledge item, transfer a virtual coin to the knowledge item, and generate an originating node for the knowledge item.
A second class node unit 603, configured to generate voting nodes of knowledge items according to the voting order of the same knowledge items by using the enterprise knowledge management account for investment knowledge items, and write the virtual monetary value transferred in the voting process into the voting nodes;
and the reddening unit 604 is used for checking the reddening profits of all nodes under the same knowledge item according to a preset reddening rule, and skimming the virtual coin balance of all enterprise knowledge management accounts in the platform according to the reddening profits of all nodes.
Identifying voting nodes and originating nodes before an nth voting node when the nth voting node is verified;
The method comprises the steps that the reddening profits generated by enterprise knowledge management accounts corresponding to voting nodes are sequentially increased, and under the condition of investment of the same amount, the reddening profits of enterprise knowledge management accounts of the N-1 voting nodes are larger than the reddening profits of the N-2 enterprise knowledge management accounts.
Optionally, managing the virtual coin balance of the account according to all enterprise knowledge in the red-colored income-swiping platform of each node comprises:
determining a virtual monetary value transferred to the enterprise knowledge management account according to the red-out income of the enterprise knowledge management account;
and sequentially transferring virtual coins in the balance of all enterprise knowledge management accounts according to the sequence of the time stamps from far to near until the transferred virtual monetary value of the enterprise knowledge management accounts is equal to the red-colored income monetary value of each enterprise knowledge management account.
And the voting result unit 605 is configured to calculate the reddening returns of the enterprise knowledge management accounts in each node, so as to determine the voting result of each enterprise knowledge management account.
Optionally, the voting result includes a contribution degree generated by creating a knowledge item by the enterprise knowledge management account and a contribution degree generated by voting a knowledge item by the enterprise knowledge management account, and calculating a reddish profit of the enterprise knowledge management account in each node to determine the voting result of each enterprise knowledge management account, including: calculating contribution gains generated by creating knowledge items of the enterprise knowledge management account and contribution gains generated by voting the knowledge items of the enterprise knowledge management account respectively according to the reddening gains of all nodes in the enterprise knowledge management account and the virtual coin balance of all knowledge management accounts; calculating contribution degree generated by creating knowledge items of the enterprise knowledge management account according to contribution profits generated by creating the knowledge items of the enterprise knowledge management account; and calculating the contribution degree generated by the enterprise knowledge management account voting knowledge item according to the contribution benefits generated by the enterprise knowledge management account voting knowledge item.
Optionally, the voting result further includes ranking results of the knowledge items in the knowledge platform, calculating the reddening returns of the enterprise knowledge management accounts in the nodes to determine the voting result of the enterprise knowledge management accounts, including:
Counting the red earnings corresponding to each node under each knowledge item;
And ranking the knowledge items in the knowledge management platform according to the total reddening benefits corresponding to the knowledge items, wherein the higher the ranking of the knowledge items is, the greater the reddening benefits corresponding to the knowledge items are.
Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Referring to fig. 5, an electronic device 500 includes a memory 502 and a processor 504.
The processor 504 may be a central processing unit (Central ProceSing Unit, CPU), but may also be other general purpose processors, digital signal processors (DIGITAL SIGNAL program sor, DSP), application SPECIFIC INTEGRATED Circuit (ASIC), field-Programmable gate array (Field-Programmable GATE ARRAY, FPGA) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Memory 502 may include various types of storage units, such as system memory, read Only Memory (ROM), and persistent storage. Where the ROM may store static data or instructions that are required by the processor 504 or other modules of the computer. The persistent storage may be a readable and writable storage. The persistent storage may be a non-volatile memory device that does not lose stored instructions and data even after the computer is powered down. In some embodiments, the persistent storage device employs a mass storage device (e.g., magnetic or optical disk, flash memory) as the persistent storage device. In other embodiments, the persistent storage may be a removable storage device (e.g., diskette, optical drive). The system memory may be a read-write memory device or a volatile read-write memory device, such as dynamic random access memory. The system memory may store instructions and data that are required by some or all of the processors at runtime. Furthermore, memory 502 may include any combination of computer readable storage media including various types of semiconductor memory chips (e.g., DRAM, SRAM, SDRAM, flash memory, programmable read-only memory), magnetic disks, and/or optical disks may also be employed. In some implementations, memory 502 may include a readable and/or writable removable storage device, such as a Compact Disc (CD), a digital versatile disc read only (e.g., DVD-ROM, dual layer DVD-ROM), a blu-ray read only disc, an ultra-dense disc, a flash memory card (e.g., SD card, min SD card, micro-SD card, etc.), a magnetic floppy disk, and the like. The computer readable storage medium does not contain a carrier wave or an instantaneous electronic signal transmitted by wireless or wired transmission.
The memory 502 has stored thereon executable code that, when processed by the processor 504, can cause the processor 504 to perform some or all of the methods described above.
Furthermore, the method according to the application may also be implemented as a computer program or computer program product comprising computer program code instructions for performing part or all of the steps of the above-described method of the application.
Or the application may also be embodied as a computer-readable storage medium (or non-transitory machine-readable storage medium or machine-readable storage medium) having stored thereon executable code (or a computer program or computer instruction code) which, when executed by a processor of an electronic device (or server, etc.), causes the processor to perform some or all of the steps of the above-described method according to the application.
The foregoing description of embodiments of the application has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the improvement of technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (10)
1. A chain voting method for knowledge management, comprising:
Verifying the knowledge item creation qualification of the enterprise knowledge management account and the knowledge item voting qualification of the enterprise knowledge management account, issuing a virtual coin of an initial amount to each enterprise knowledge management account, and transferring the amount of the virtual coin to the enterprise knowledge management account for expressing the voting instruction of the enterprise knowledge management account;
Creating an enterprise knowledge management account of the knowledge item, transferring a virtual coin to the knowledge item, and generating an originating node of the knowledge item;
The enterprise knowledge management account of the investment knowledge item generates voting nodes of the knowledge item according to the voting sequence of the same knowledge item, and writes the virtual monetary value transferred in the voting process into the voting nodes;
according to a preset reddening rule, verifying the reddening profits of all nodes under the same knowledge item, and grazing the virtual coin balance of all enterprise knowledge management accounts in the platform according to the reddening profits of all nodes;
And calculating the reddening returns of the enterprise knowledge management accounts in each node to determine voting results of each enterprise knowledge management account.
2. The method of claim 1, wherein the virtual coin carries a time stamp, and the initial time stamp of the virtual coin is a time of issue of the virtual coin.
3. The method according to claim 2, characterized in that the method further comprises: if the net asset of the enterprise knowledge management account is negative, the enterprise knowledge management account generates virtual coin borrowing and stores the virtual coin borrowing account in the node.
4. A method according to claim 3, wherein said verifying the reddening benefits of each node under the same knowledge item according to a preset reddening rule comprises:
Identifying voting nodes and originating nodes before an nth voting node when the nth voting node is verified;
The method comprises the steps that the reddening profits generated by enterprise knowledge management accounts corresponding to voting nodes are sequentially increased, and under the condition of investment of the same amount, the reddening profits of enterprise knowledge management accounts of the N-1 voting nodes are larger than the reddening profits of the N-2 enterprise knowledge management accounts.
5. The method of claim 4, wherein managing the virtual currency balance of the account based on all enterprise knowledge within the reddening revenue robbing platform for each node comprises:
Determining virtual monetary value transferred to enterprise knowledge management account corresponding to each node according to the red income corresponding to each node;
And sequentially transferring virtual coins in the balance of all enterprise knowledge management accounts according to the sequence of the time stamps from far to near until the transferred virtual monetary value of the enterprise knowledge management account of each node is equal to the red monetary value of the enterprise knowledge management account of each node.
6. The method of claim 1, wherein the voting results include a contribution by the enterprise knowledge management account creation knowledge item and a contribution by the enterprise knowledge management account voting knowledge item, and wherein the calculating the bonus of the enterprise knowledge management account in each node to determine the voting results for each enterprise knowledge management account comprises:
Calculating the contribution total income generated by the establishment of knowledge items of the enterprise knowledge management account and the contribution total income generated by the voting knowledge items of the enterprise knowledge management account respectively according to the reddening income of each node in the enterprise knowledge management account and the virtual coin balance of each knowledge management account;
calculating contribution degree generated by the knowledge item creation of the enterprise knowledge management account according to the contribution total income generated by the knowledge item creation of the enterprise knowledge management account;
And calculating the contribution degree generated by the voting knowledge items of the enterprise knowledge management account according to the contribution total income generated by the voting knowledge items of the enterprise knowledge management account.
7. The method of claim 6, wherein the voting results further comprise ranking results for each knowledge item within the knowledge platform, and wherein the calculating the reddening returns for the enterprise knowledge management accounts in each node to determine the voting results for each enterprise knowledge management account comprises:
Counting the red earnings corresponding to each node under each knowledge item;
And ranking the knowledge items in the knowledge management platform according to the total reddening benefits corresponding to the knowledge items, wherein the higher the ranking of the knowledge items is, the greater the reddening benefits corresponding to the knowledge items are.
8. A chain voting apparatus for knowledge management, comprising:
The checking unit is used for checking the knowledge item creation qualification and the knowledge item voting qualification of the enterprise knowledge management account, issuing a virtual coin with an initial amount to each enterprise knowledge management account, and transferring the amount of the virtual coin by the enterprise knowledge management account to represent a voting instruction of the enterprise knowledge management account;
the first class node unit is used for creating an enterprise knowledge management account of the knowledge item, transferring a virtual coin to the knowledge item and generating an originating node of the knowledge item;
The second class node unit is used for generating voting nodes of the knowledge items according to the voting sequence of the same knowledge items by the enterprise knowledge management account of the investment knowledge items and writing the virtual monetary value transferred in the voting process into the voting nodes;
the scoring unit is used for verifying the scoring income of each node under the same knowledge item according to a preset scoring rule and skimming the virtual coin balance of all enterprise knowledge management accounts in the platform according to the scoring income of each node;
And the voting result unit is used for calculating the reddening returns of the enterprise knowledge management accounts in the nodes so as to determine the voting result of each enterprise knowledge management account.
9. An electronic device, comprising:
A processor; and
A memory having executable code stored thereon, which when executed by a processor causes the processor to perform the method of any of claims 1-7.
10. A computer readable storage medium having stored thereon executable code which when executed by a processor of an electronic device causes the processor to perform the method of any of claims 1-7.
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