CN117436594A - Intelligent information management method and system for enterprise clients - Google Patents
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Abstract
The application provides an intelligent information management method and system for enterprise clients, and relates to the technical field of data processing, wherein the method comprises the following steps: determining a business object of a target enterprise; acquiring a relationship label; obtaining a plurality of management blocks; generating particle swarm optimization space by using information in the plurality of management blocks through a PSO algorithm, determining a first business item from the business item set, optimizing the first business item from the particle swarm optimization space, and outputting an optimizing result; the sharing authority is established for the plurality of management blocks to call the sharing information, so that the technical problems that sharing of the client information is difficult to realize due to the fact that clients of different businesses are often managed independently in the prior art, and further poor business decision effect of enterprises is caused are solved, sharing of the client information is achieved, business decisions of target enterprises are guided in an auxiliary mode, the enterprises are helped to understand and manage business projects of the enterprises better, and business decision efficiency is improved are solved.
Description
Technical Field
The application relates to the technical field of data processing, in particular to an intelligent information management method and system for enterprise clients.
Background
Nowadays, the logistics industry develops rapidly, and logistics enterprises integrate various operations such as commerce and trade, logistics, electronic commerce, supply chain finance, information service and the like, so that corresponding enterprise clients have diversity. However, the existing client information management system is often used for independently managing clients of different services, so that sharing of client information is difficult to achieve, and further, the service decision effect of enterprises is poor.
In summary, in the prior art, because clients of different services are often managed separately, sharing of client information is difficult to achieve, and thus, a technical problem of poor service decision effect of an enterprise is caused.
Disclosure of Invention
The application provides an information intelligent management method and system for enterprise clients, which are used for solving the technical problems that clients with different services are often managed independently, so that sharing of client information is difficult to realize, and further, the service decision effect of an enterprise is poor in the prior art.
According to a first aspect of the present application, there is provided an information intelligent management method for an enterprise client, including: identifying a business item set of a target enterprise, and determining a business object of the target enterprise; acquiring a relationship tag, wherein the relationship tag is acquired by setting a relationship position of the target enterprise after identifying the relationship between the target enterprise and the business object; dividing the service item set based on the relation tag to obtain a plurality of management blocks, wherein each management block is used for managing information of the service corresponding to the same kind of relation tag, and is connected with a format conversion module, and the format conversion module is used for carrying out unified format management on the information stored in each management block; generating particle swarm optimization space by using information in the plurality of management blocks through a PSO algorithm, determining a first business item from the business item set, optimizing the first business item from the particle swarm optimization space, and outputting an optimization result, wherein the optimization result is an information sharing optimization result; and establishing sharing permission for the information sharing optimizing result so as to enable the plurality of management blocks to call shared information.
According to a second aspect of the present application, there is provided an information intelligent management system for an enterprise client, including: the business object identification module is used for identifying a business item set of a target enterprise and determining a business object of the target enterprise; the business relation identification module is used for acquiring a relation label, wherein the relation label is acquired by setting the relation position of the target enterprise after identifying the relation between the target enterprise and the business object; the business item set dividing module is used for dividing the business item set based on the relation tag to obtain a plurality of management blocks, wherein each management block is used for managing information of business corresponding to the same kind of relation tag, and is connected with the format conversion module, and the format conversion module is used for carrying out unified format management on the information stored in each management block; the information sharing optimizing module is used for generating particle swarm optimizing space by using information in the plurality of management blocks through a PSO algorithm, determining a first business item from the business item set, optimizing the particle swarm optimizing space through the first business item, and outputting an optimizing result, wherein the optimizing result is an information sharing optimizing result; and the sharing authority establishing module is used for establishing sharing authority through the information sharing optimizing result so as to enable the plurality of management blocks to call sharing information.
According to one or more technical schemes adopted by the application, the beneficial effects which can be achieved are as follows:
1. identifying a business item set of a target enterprise, determining a business object of the target enterprise, acquiring a relationship tag, wherein the relationship tag is obtained by identifying the relationship between the target enterprise and the business object, setting and acquiring the relationship position of the target enterprise, dividing the business item set based on the relationship tag to obtain a plurality of management blocks, wherein each management block is used for managing information of the business corresponding to the same type of relationship tag, each management block is connected with a format conversion module, the information stored in each management block is subjected to unified format management by using the format conversion module, a particle swarm optimization space is generated by using the PSO algorithm and information in the plurality of management blocks, a first business item is determined from the particle swarm optimization space by using the first business item, and an optimization result is output, wherein the optimization result is an information sharing optimization result, and sharing authority is established for the plurality of management blocks to call shared information. The business project of the target enterprise is divided according to the association label of the business project, the business projects in the plurality of management blocks are further shared and optimized, sharing permission is built, sharing of client information is achieved, business decision of the target enterprise is assisted and guided, the enterprise is helped to better understand and manage the business project, and the technical effect of business decision efficiency is improved.
2. Acquiring the service progress speed and the information updating speed of each block in the remaining management blocks, and recording the service progress speed corresponding to the ith remaining management block as vx i The information update speed corresponding to the i-th residual management block is recorded as vy i The method comprises the steps of carrying out a first treatment on the surface of the According to the speed vx of business process i Information update speed vy i Calculating to generate information change rate of each block; when the information change rate of any block meets the preset information change rate of PSO neighborhood search requirement, the PSO algorithm optimizing is triggered to achieve the aim of conveniently establishing the sharing authority of the center block and the block to share the client information,and the technical effect of improving the accuracy of the business decision is achieved when the auxiliary target enterprise performs business cooperation.
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In order to more clearly illustrate the technical solutions of the present application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. The accompanying drawings, which form a part hereof, illustrate embodiments of the present application and, together with the description, serve to explain the present application and not to limit the application unduly, and to enable a person skilled in the art to make and use other drawings without the benefit of the present inventive subject matter.
Fig. 1 is a flow chart of an intelligent information management method for enterprise clients according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of an information intelligent management system for enterprise clients according to an embodiment of the present application.
Reference numerals illustrate: the system comprises a business object identification module 11, a business relation identification module 12, a business item set division module 13, an information sharing optimizing module 14 and a sharing authority establishment module 15.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, exemplary embodiments of the present application will be described in detail below with reference to the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application and not all of the embodiments of the present application, and it should be understood that the present application is not limited by the example embodiments described herein.
The terminology used in the description is for the purpose of describing embodiments only and is not intended to be limiting of the application. As used in this specification, the singular terms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. The terms "comprises" and/or "comprising," when used in this specification, specify the presence of steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other steps, operations, elements, components, and/or groups thereof.
Unless defined otherwise, all terms (including technical and scientific terms) used in this specification should have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. Terms, such as those defined in commonly used dictionaries, should not be interpreted in an idealized or overly formal sense unless expressly so defined herein. Like numbers refer to like elements throughout.
It should be noted that, the user information (including, but not limited to, user equipment information, user personal information, etc.) and the data (including, but not limited to, data for presentation, analyzed data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.
Example 1
Fig. 1 is a diagram of an intelligent information management method for an enterprise client according to an embodiment of the present application, where the method includes:
identifying a business item set of a target enterprise, and determining a business object of the target enterprise;
the target enterprise refers to any enterprise of any type to be subjected to enterprise client information management, and the target enterprise can be determined according to actual conditions. The business item set refers to a business item currently performed by a target enterprise, and may include different business items such as research, development, production, sales, service, etc., where each business item in the business item set has an identifier of a collaboration object, a business type, a business content, a business period, a business progress, etc. And identifying the cooperative objects in the service item set, wherein the identified cooperative objects are used as the service objects of the target enterprise, and the service objects are the cooperative objects of any service item in the service item set, such as clients, suppliers, marketers and the like. The business object may be a collaborative object corresponding to a plurality of different business items.
Acquiring a relationship tag, wherein the relationship tag is acquired by setting a relationship position of the target enterprise after identifying the relationship between the target enterprise and the business object;
the target enterprise and the business object establish business relation through business items, wherein the target enterprise and the business object belong to different transaction parties in the business relation, namely, the relation positions in the business relation, such as buying and selling relation, so that one party of the target enterprise and the business object is a buyer, and the other party of the target enterprise and the business object is a seller; or a supply relationship, then one party is a supplier and one party is a buyer. Based on the above, firstly, the business relationship between the target enterprise and the business object can be identified according to the business project between the target enterprise and the business object based on the prior art, the relationship between the target enterprise and the business object is obtained, the relationship position of the target enterprise in the relationship between the target enterprise and the business object is further identified, such as a seller or a buyer in a buying and selling relationship, a provider or a buyer in a supply relationship, and the like, and a relationship label is generated according to the relationship position of the target enterprise in the relationship between the target enterprise and the business object. It should be noted that, by calling the historical business item of the target enterprise and marking the business relationship and the business relationship position of the target enterprise, further performing recognition training of the business relationship and the business relationship position of the target enterprise based on the existing machine learning model (such as a neural network model), the relationship between the target enterprise and the business object is recognized by the trained machine learning model, and the relationship position of the target enterprise is obtained, and the training recognition of the machine learning model is a common technical means for those skilled in the art, so that the training recognition of the machine learning model is not performed herein.
Dividing the service item set based on the relation tag to obtain a plurality of management blocks, wherein each management block is used for managing information of the service corresponding to the same kind of relation tag, and is connected with a format conversion module, and the format conversion module is used for carrying out unified format management on the information stored in each management block;
the business item set is divided based on the relationship label, that is, the relationship position of the target enterprise is taken as a classification standard, for example, the business items of the target enterprise belonging to the provider are divided together to be taken as one management block, the business items of the target enterprise belonging to the buyer are divided together to be taken as another management block, and the like, so as to obtain a plurality of management blocks of the target enterprise at different relationship positions, wherein each management block is used for managing the information of the business corresponding to the same type of relationship label. Each management block is connected with a format conversion module, and the format conversion module is used for carrying out unified format management on the information stored in each management block, and the format conversion module consists of an existing format converter and is used for converting service information in one format into service information in another format, such as a video converter, an audio converter, a picture format converter, a picture-to-video format converter, a document format converter and the like. For example, the document format is word, ppt, pdf, txt, and the document format needs to be converted into a document format by a format conversion module, so that the subsequent call management of service information is facilitated.
Generating particle swarm optimization space by using information in the plurality of management blocks through a PSO algorithm, determining a first business item from the business item set, optimizing the first business item from the particle swarm optimization space, and outputting an optimization result, wherein the optimization result is an information sharing optimization result;
the Chinese name of the PSO algorithm is particle swarm optimization algorithm, which is an optimization algorithm based on swarm intelligence, and solves the optimization problem by simulating the behavior characteristics of biological swarms such as shoal and shoal. In this embodiment, a particle swarm optimization space is generated by using information in the plurality of management blocks by using a PSO algorithm, specifically, a particle swarm optimization space is formed by extracting service information (i.e., initialized particles in the PSO algorithm) such as service objects, service related funds, etc. corresponding to service items in the plurality of management blocks. And then determining a first business item from the business item set, wherein the first business item is the item with the highest importance degree determined by evaluating the importance degree of all the items in the business item set. And carrying out matching degree analysis on the business information in the management block where the first business project is located and the rest of the management blocks, carrying out optimizing from the particle swarm optimizing space according to the matching degree, and outputting an optimizing result, wherein the optimizing result is an information sharing optimizing result, that is, the business information, business objects and other information in two or more management blocks need to be shared, so that business decision of a target enterprise can be guided in an auxiliary manner, and the enterprise can better understand and manage the business projects. The specific process of outputting the optimizing result is described in detail below.
In a preferred embodiment, further comprising:
performing feature recognition on each item in the service item set to determine item features, wherein the item features comprise item importance, item life cycle and item information quantity; evaluating each item according to the item importance, the item life cycle and the item information quantity, and outputting an item evaluation index set corresponding to the service item set, wherein the weight of the item importance is greater than that of the item life cycle and greater than that of the item information quantity; and determining a first business item according to the item evaluation index set, wherein the first business item is the item with the largest evaluation index.
First, the process of determining the first business item is: and carrying out feature recognition on each item in the service item set to determine item features, wherein the item features comprise item importance, item life cycle and item information quantity, the item importance can be determined based on the number of funds related to the item, item type and the like, the larger the number of funds related to the item, the larger the association degree of the item and the target enterprise feature is, the larger the corresponding item importance is, for example, if the target enterprise is a technological enterprise, the higher the item importance of each item in the service item set is, and meanwhile, the larger the number of funds related to the item is, and in particular, the higher the item importance is, the factor for evaluating the item importance can be set by a person skilled in the art, then the item importance identification can be carried out on the item sample by collecting the item sample, and then the existing machine learning model is trained, so that the item importance can be automatically recognized.
The project life cycle refers to the whole period from the project beginning to the project ending, the project information quantity comprises the information of the document quantity, the data quantity, the involved personnel and departments of the project, and the project life cycle and the project information quantity can be directly extracted from a project book corresponding to the project based on the prior art.
And evaluating each item according to the item importance, the item life cycle and the item information amount, and outputting an item evaluation index set corresponding to the service item set. The weights corresponding to the project importance, the project life cycle and the project information amount can be adjusted by a person skilled in the art according to practical situations, but the weights of the project importance, the project life cycle and the project information amount need to be ensured to be larger than those of the project life cycle, that is, the weights can be adjusted according to different importance degrees of target enterprises on the project importance, the project life cycle and the project information amount under the constraint that the weights of the project importance, the project life cycle and the project information amount are larger than those of the project information amount. And then according to the item evaluation index set, selecting the item with the largest item evaluation index in the item evaluation index set as the first business item. Therefore, through evaluating each item, the first business item is screened out, and support is provided for subsequent optimizing.
In a preferred embodiment, further comprising:
acquiring the first business item, taking a management block corresponding to the first business item as a center block, and extracting initialization sharing information for information sharing from the center block, wherein the initialization sharing information comprises a plurality of key information items; the residual management blocks are used as neighborhood blocks, optimization is carried out from the particle swarm optimization space based on the initialization shared information, the optimization method comprises the steps of carrying out matching degree calculation on information in each neighborhood block based on the initialization shared information, and obtaining optimization shared information corresponding to each neighborhood block, wherein the matching degree of the optimization shared information corresponding to each neighborhood block and the initialization shared information is greater than or equal to a preset matching degree; and outputting the optimizing result based on the optimizing sharing information corresponding to each neighborhood block.
After a first service item is obtained, optimizing from the particle swarm optimization space by the first service item, and outputting an optimization result, wherein the specific process is as follows: in the foregoing step, the service item set is divided based on the relationship tag, so as to obtain a plurality of management blocks, that is, each management block correspondingly includes a plurality of service items, and a management block corresponding to the first service item is obtained based on the management blocks. And taking the management block corresponding to the first business item as a center block, and extracting initialization sharing information for information sharing from the center block, wherein the initialization sharing information refers to client information (client enterprise type, client enterprise scale and the like) corresponding to the items contained in the center block, the initialization sharing information comprises a plurality of key information items, and the plurality of key information items comprise project information such as client information, project fund information and the like.
Taking the rest management block as a neighborhood block, optimizing from the particle swarm optimization space based on the initialization shared information, and specifically comprising the following steps: and carrying out matching degree calculation on the information in each neighborhood block based on the initialized shared information, namely carrying out similarity comparison calculation on the information in each neighborhood block (client information corresponding to the items contained in the neighborhood block, such as client enterprise types, client enterprise scales and the like) and the initialized shared information, and taking a similarity calculation result as the matching degree of the information in each neighborhood block. It should be noted that, each neighborhood block includes a plurality of service items, and service objects of the plurality of service items may be different, so that the matching degree of information in each neighborhood block includes the matching degree of each item in each neighborhood block with the central block, and further, optimizing shared information corresponding to each neighborhood block is obtained, where the matching degree of optimizing shared information corresponding to each neighborhood block with the initializing shared information is greater than or equal to a preset matching degree, the preset matching degree is set by a person skilled in the art, for example, 70%, or the matching degree of each item in each neighborhood block with the central block is compared with the preset matching degree, item information including customer information and item fund information that are greater than the preset matching degree are used as optimizing shared information corresponding to the neighborhood block, a sharing authority can be established for the item with the central block that is higher than the matching degree in the neighborhood block, personnel of the target enterprise can call the optimizing shared information and the optimizing shared information through the central block, and the neighborhood block, and the optimizing shared information corresponding to each neighborhood block is used as the optimizing result, so that it is convenient to realize the auxiliary resource selection of customers of different enterprises in the enterprise, and the service objects of the enterprise can cooperate to better manage the service objects.
And establishing sharing permission for the information sharing optimizing result so as to enable the plurality of management blocks to call shared information.
Based on the information sharing optimizing result, the sharing authority of the management block corresponding to the information sharing optimizing result and the center block is established, namely, staff involved in the business project of the management block and the center block has authority to call the client information corresponding to the business project in the management block and the center block, so that the sharing of client resources is realized, and the client resource is convenient to assist in selecting better clients for cooperation when relevant businesses are carried out next time, and the business cooperation effect of a target enterprise is improved.
In a preferred embodiment, further comprising:
acquiring the service progress speed and the information updating speed of each block in the residual management blocks, and recording the service progress speed corresponding to the ith residual management block as vx i The information update speed corresponding to the i-th residual management block is recorded as vy i The method comprises the steps of carrying out a first treatment on the surface of the According to the business process speed vx i Information update speed vy i Proceeding withCalculating to generate information change rate of each block; and taking the information change rate as a triggering condition for PSO algorithm optimization, and triggering PSO algorithm optimization when the information change rate of any block meets the preset information change rate of PSO neighborhood searching requirements.
Specifically, when optimizing by using PSO algorithm, the triggering condition of optimizing can be set, and the specific process is detailed as follows; acquiring service progress speed and information updating speed of each block in the remaining management blocks, wherein the service progress speed refers to project completion speed, and project completion amount in unit time can be calculated as service progress speed; the information update speed refers to the update speed of the client to the service information in the service project, for example, whether to timely transmit the related information to the target enterprise when the service project completes a stage, and specifically, the target enterprise can call the information update frequency of the client in unit time in the service process as the information update speed. It should be noted that, each block in the remaining management blocks includes a plurality of service items, so that the service progress speed and the information update speed of each service item can be calculated respectively, and the average value of the service progress speed and the information update speed of each item in each block in the remaining management blocks is used as the service progress speed and the information update speed corresponding to each block. The business process speed corresponding to the ith residual management block is recorded as vx i The information update speed corresponding to the i-th residual management block is recorded as vy i I is an integer greater than 0. According to the business process speed vx i Information update speed vy i Calculating to generate information change rates of all the blocks, wherein the information change rates are expressed as follows:
；
wherein p (t) is the information change rate corresponding to the ith remaining management block, vx i (t) is the business process speed, vy, corresponding to the ith remaining management block under the time process t i (t) is the time course tThe information updating speed corresponding to the i remaining management blocks, the time process t refers to any time period from the beginning to the current of the business item corresponding to the i remaining management blocks, the business process speed and the information updating speed are extracted in the time period, and vx is carried out i (t) and vy i (t) according to vx i And vy i The method comprises the steps of obtaining a specified time process t, and obtaining a corresponding service process speed and an information updating speed in the time process t by adopting the same method; px (px) id The i-th residual management block is provided with an individual optimal service progress speed, namely the i-th residual management block comprises a plurality of service items, each service item corresponds to the service progress speed, px id For the maximum traffic progress speed, py id The i-th remaining management block has an individual optimal information update rate, i.e. each business item corresponds to an information update rate py id For the maximum information update rate among them,is a weight based on the difference in traffic progress speed, +.>For updating the weight of the speed difference based on the information, +.>And->The business process speed and the information update speed are set by the person skilled in the art according to the importance degree of the target enterprise, and preferably, both can be set to 0.5. The information change rate of each block can be calculated and acquired through the expression.
When the information change rate of any block meets the preset information change rate of PSO neighborhood searching requirement, triggering PSO algorithm optimizing, wherein the preset information change rate is set by a person skilled in the art, that is, if the information change rate of any block does not meet the preset information change rate of PSO neighborhood searching requirement, the service progress speed and the information updating speed of a client corresponding to the service project are not good, and the client information sharing is not necessary, so that the aim of assisting a target enterprise in screening more excellent clients for service cooperation is achieved, the assistance significance of the client corresponding to the service project with poor performance is not great, so that PSO algorithm optimizing is not triggered, and computing resources are saved. When the information change rate of any block meets the preset information change rate of PSO neighborhood searching requirement, the service progress speed and the information updating speed of the client corresponding to the service item in the block are better, and the PSO algorithm is triggered to optimize at the moment, so that the sharing authority of the center block and the block is conveniently established, the client information is shared, and a target enterprise is assisted to make a more correct service decision when performing service cooperation.
In a preferred embodiment, further comprising:
when the state identification of the first business project is the project end, acquiring an optimizing update instruction; and analyzing the service item set by using the optimizing updating instruction to acquire an updated service item, and optimizing a management block corresponding to the updated service item as a central block.
When the state identification of the first business project is the project end, namely the first business project is completed, marking the enterprise completion state by personnel of the target enterprise, and acquiring an optimizing update instruction, wherein the optimizing update instruction refers to a control instruction for updating the business project. In colloquial terms, the embodiment of the application is used for analyzing the business items of the target enterprise and sharing the information of the business items, so that when the first business item is finished, all the items in the business item set need to be updated. Based on the above, the service item set is analyzed by the optimizing update instruction, for example, the completed first service item is deleted, the newly added item is added, then, the same method for acquiring the first service item in the previous step is utilized, item evaluation is performed in the service item set according to the item importance, the item life cycle and the item information amount, after updating, the service item with the highest updated evaluation index is acquired, and the management block corresponding to the updated service item is used as a central block for optimizing. Therefore, the updating of the business project is realized, and the real-time accuracy of the shared optimizing result is improved.
In a preferred embodiment, further comprising:
the plurality of management blocks are connected in a planetary topology, and a planetary topology network is output; the branch number of the central blocks is larger than the preset branch number, the block association degree corresponding to the star topology network is established, the star topology network is pruned according to the block association degree, the optimized star topology network is obtained, and the PSO algorithm is utilized to conduct sharing optimization on the optimized star topology network.
And (3) connecting the plurality of management blocks in a planetary topology, and outputting a planetary topology network, namely simply taking the central block as a central node, and connecting the rest of management blocks to the central node to obtain the planetary topology network. The remaining management blocks are the branch numbers of the central blocks, the branch numbers of the central blocks are larger than the preset branch numbers, the block association degree corresponding to the star topology network is established, the star topology network is pruned according to the block association degree, and the optimized star topology network is obtained. The block association degree refers to the association degree between the remaining management blocks and the central block, that is, the degree of dependence and influence between different services, specifically, there is a relationship between service projects of different blocks, for example, one project provides output for another project, and data traffic between any remaining management block and the central block is called based on a service project set, for example, fund output or input, output or input, and the ratio of the total amount of fund output or input, output or input to the total amount of data traffic between the remaining management block and the central block is used as the block association degree corresponding to each other.
And furthermore, the PSO algorithm is utilized to carry out sharing optimization on the optimized star topology network, so that the calculated amount during sharing optimization can be effectively reduced, and the sharing optimization speed is improved.
Based on the above analysis, the one or more technical solutions provided in the present application can achieve the following beneficial effects:
1. identifying a business item set of a target enterprise, determining a business object of the target enterprise, acquiring a relationship tag, wherein the relationship tag is obtained by identifying the relationship between the target enterprise and the business object, setting and acquiring the relationship position of the target enterprise, dividing the business item set based on the relationship tag to obtain a plurality of management blocks, wherein each management block is used for managing information of the business corresponding to the same type of relationship tag, each management block is connected with a format conversion module, the information stored in each management block is subjected to unified format management by using the format conversion module, a particle swarm optimization space is generated by using the PSO algorithm and information in the plurality of management blocks, a first business item is determined from the particle swarm optimization space by using the first business item, and an optimization result is output, wherein the optimization result is an information sharing optimization result, and sharing authority is established for the plurality of management blocks to call shared information. The business project of the target enterprise is divided according to the association label of the business project, the business projects in the plurality of management blocks are further shared and optimized, sharing permission is built, sharing of client information is achieved, business decision of the target enterprise is assisted and guided, the enterprise is helped to better understand and manage the business project, and the technical effect of business decision efficiency is improved.
2. Acquiring business entries of each block in the remaining management blocksThe process speed and the information updating speed are recorded as vx corresponding to the ith residual management block i The information update speed corresponding to the i-th residual management block is recorded as vy i The method comprises the steps of carrying out a first treatment on the surface of the According to the speed vx of business process i Information update speed vy i Calculating to generate information change rate of each block; and when the information change rate of any block meets the preset information change rate of PSO neighborhood searching requirements, triggering the optimizing of the PSO algorithm, so as to achieve the technical effects of conveniently establishing the sharing authority of the center block and the block, sharing client information and assisting a target enterprise in improving the accuracy of business decision when carrying out business cooperation.
Example two
Based on the same inventive concept as the method for intelligently managing information of an enterprise client in the foregoing embodiment, as shown in fig. 2, the present application further provides an intelligent management system for information of an enterprise client, where the system includes:
the business object identification module 11 is used for identifying a business item set of a target enterprise and determining a business object of the target enterprise;
The business relation identification module 12 is configured to obtain a relation tag, where the relation tag is obtained by identifying a relation between the target enterprise and the business object and setting a relation position where the target enterprise is located;
the business item set dividing module 13 is configured to divide the business item set based on the relationship tag to obtain a plurality of management blocks, where each management block is used to manage information of a business corresponding to the same type of relationship tag, and each management block is connected to the format conversion module, and the format conversion module is used to perform unified format management on information stored in each management block;
an information sharing optimizing module 14, where the information sharing optimizing module 14 is configured to generate a particle swarm optimizing space from information in the plurality of management blocks by using a PSO algorithm, determine a first service item from the service item set, and optimize the particle swarm optimizing space by using the first service item, and output an optimizing result, where the optimizing result is an information sharing optimizing result;
the sharing authority establishing module 15 is configured to establish a sharing authority by using the information sharing optimizing result, so that the plurality of management blocks can call shared information.
Further, the information sharing optimizing module 14 further includes:
performing feature recognition on each item in the service item set to determine item features, wherein the item features comprise item importance, item life cycle and item information quantity;
evaluating each item according to the item importance, the item life cycle and the item information quantity, and outputting an item evaluation index set corresponding to the service item set, wherein the weight of the item importance is greater than that of the item life cycle and greater than that of the item information quantity;
and determining a first business item according to the item evaluation index set, wherein the first business item is the item with the largest evaluation index.
Further, the information sharing optimizing module 14 further includes:
acquiring the first business item, taking a management block corresponding to the first business item as a center block, and extracting initialization sharing information for information sharing from the center block, wherein the initialization sharing information comprises a plurality of key information items;
the residual management blocks are used as neighborhood blocks, optimization is carried out from the particle swarm optimization space based on the initialization shared information, the optimization method comprises the steps of carrying out matching degree calculation on information in each neighborhood block based on the initialization shared information, and obtaining optimization shared information corresponding to each neighborhood block, wherein the matching degree of the optimization shared information corresponding to each neighborhood block and the initialization shared information is greater than or equal to a preset matching degree;
And outputting the optimizing result based on the optimizing sharing information corresponding to each neighborhood block.
Further, the system further comprises an optimizing update module, wherein the optimizing update module comprises:
when the state identification of the first business project is the project end, acquiring an optimizing update instruction;
and analyzing the service item set by using the optimizing updating instruction to acquire an updated service item, and optimizing a management block corresponding to the updated service item as a central block.
Further, the system further comprises a optimizing trigger module, and the optimizing trigger module comprises:
acquiring the service progress speed and the information updating speed of each block in the residual management blocks, and recording the service progress speed corresponding to the ith residual management block as vx i The information update speed corresponding to the i-th residual management block is recorded as vy i ；
According to the business process speed vx i Information update speed vy i Calculating to generate information change rate of each block;
and taking the information change rate as a triggering condition for PSO algorithm optimization, and triggering PSO algorithm optimization when the information change rate of any block meets the preset information change rate of PSO neighborhood searching requirements.
Further, the optimizing triggering module further comprises:
the expression of the information change rate is as follows:
；
wherein vx is i (t) is the business process speed, vy, corresponding to the ith remaining management block under the time process t i (t) is the information update speed corresponding to the i-th remaining management block under the time process t; px (px) id Individual optimal traffic progress speed, py, for the i-th remaining management block id Ith remaining management block individualThe speed of the update of the information is optimized,is a weight based on the difference in traffic progress speed, +.>Is a weight based on the information update speed difference.
Further, the system further comprises a star topology network optimization module, wherein the star topology network optimization module comprises:
the plurality of management blocks are connected in a planetary topology, and a planetary topology network is output;
the branch number of the central blocks is larger than the preset branch number, the block association degree corresponding to the star topology network is established, the star topology network is pruned according to the block association degree, the optimized star topology network is obtained, and the PSO algorithm is utilized to conduct sharing optimization on the optimized star topology network.
The specific example of the information intelligent management method of an enterprise client in the first embodiment is also applicable to the information intelligent management system of an enterprise client in the present embodiment, and those skilled in the art can clearly know the information intelligent management system of an enterprise client in the present embodiment through the foregoing detailed description of the information intelligent management method of an enterprise client, so that the detailed description thereof will not be repeated for the sake of brevity.
It should be understood that the various forms of flow shown above, reordered, added, or deleted steps may be used, as long as the desired results of the presently disclosed technology are achieved, and are not limited herein.
Note that the above is only a preferred embodiment of the present application and the technical principle applied. Those skilled in the art will appreciate that the present application is not limited to the particular embodiments described herein, but is capable of numerous obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the present application. Therefore, while the present application has been described in connection with the above embodiments, the present application is not limited to the above embodiments, but may include many other equivalent embodiments without departing from the spirit of the present application, the scope of which is defined by the scope of the appended claims.
Claims (8)
1. An intelligent information management method for enterprise clients, which is characterized by comprising the following steps:
identifying a business item set of a target enterprise, and determining a business object of the target enterprise;
acquiring a relationship tag, wherein the relationship tag is acquired by setting a relationship position of the target enterprise after identifying the relationship between the target enterprise and the business object;
Dividing the service item set based on the relation tag to obtain a plurality of management blocks, wherein each management block is used for managing information of the service corresponding to the same kind of relation tag, and is connected with a format conversion module, and the format conversion module is used for carrying out unified format management on the information stored in each management block;
generating particle swarm optimization space by using information in the plurality of management blocks through a PSO algorithm, determining a first business item from the business item set, optimizing the first business item from the particle swarm optimization space, and outputting an optimization result, wherein the optimization result is an information sharing optimization result;
and establishing sharing permission for the information sharing optimizing result so as to enable the plurality of management blocks to call shared information.
2. The method of claim 1, wherein the method further comprises:
performing feature recognition on each item in the service item set to determine item features, wherein the item features comprise item importance, item life cycle and item information quantity;
evaluating each item according to the item importance, the item life cycle and the item information quantity, and outputting an item evaluation index set corresponding to the service item set, wherein the weight of the item importance is greater than that of the item life cycle and greater than that of the item information quantity;
And determining a first business item according to the item evaluation index set, wherein the first business item is the item with the largest evaluation index.
3. The method of claim 2, wherein the method further comprises:
acquiring the first business item, taking a management block corresponding to the first business item as a center block, and extracting initialization sharing information for information sharing from the center block, wherein the initialization sharing information comprises a plurality of key information items;
the residual management blocks are used as neighborhood blocks, optimization is carried out from the particle swarm optimization space based on the initialization shared information, the optimization method comprises the steps of carrying out matching degree calculation on information in each neighborhood block based on the initialization shared information, and obtaining optimization shared information corresponding to each neighborhood block, wherein the matching degree of the optimization shared information corresponding to each neighborhood block and the initialization shared information is greater than or equal to a preset matching degree;
and outputting the optimizing result based on the optimizing sharing information corresponding to each neighborhood block.
4. A method as claimed in claim 3, wherein the method further comprises:
when the state identification of the first business project is the project end, acquiring an optimizing update instruction;
And analyzing the service item set by using the optimizing updating instruction to acquire an updated service item, and optimizing a management block corresponding to the updated service item as a central block.
5. A method as claimed in claim 3, wherein the method further comprises:
acquiring the service progress speed and the information updating speed of each block in the residual management blocks, and recording the service progress speed corresponding to the ith residual management block as vx i The information update speed corresponding to the i-th residual management block is recorded as vy i ；
According to the business process speed vx i Information update speed vy i Calculating to generate information change rate of each block;
and taking the information change rate as a triggering condition for PSO algorithm optimization, and triggering PSO algorithm optimization when the information change rate of any block meets the preset information change rate of PSO neighborhood searching requirements.
6. The method of claim 5, wherein the expression for the rate of change of information is:
；
wherein vx is i (t) is the business process speed, vy, corresponding to the ith remaining management block under the time process t i (t) is the information update speed corresponding to the i-th remaining management block under the time process t; px (px) id Individual optimal traffic progress speed, py, for the i-th remaining management block id The i-th remaining management block individual optimal information update speed,is a weight based on the difference in traffic progress speed, +.>Is a weight based on the information update speed difference.
7. A method as claimed in claim 3, wherein the method further comprises:
the plurality of management blocks are connected in a planetary topology, and a planetary topology network is output;
the branch number of the central blocks is larger than the preset branch number, the block association degree corresponding to the star topology network is established, the star topology network is pruned according to the block association degree, the optimized star topology network is obtained, and the PSO algorithm is utilized to conduct sharing optimization on the optimized star topology network.
8. An information wisdom management system for an enterprise client, characterized by the steps for performing any one of the information wisdom management methods for an enterprise client as claimed in claims 1 to 7, the system comprising:
the business object identification module is used for identifying a business item set of a target enterprise and determining a business object of the target enterprise;
The business relation identification module is used for acquiring a relation label, wherein the relation label is acquired by setting the relation position of the target enterprise after identifying the relation between the target enterprise and the business object;
the business item set dividing module is used for dividing the business item set based on the relation tag to obtain a plurality of management blocks, wherein each management block is used for managing information of business corresponding to the same kind of relation tag, and is connected with the format conversion module, and the format conversion module is used for carrying out unified format management on the information stored in each management block;
the information sharing optimizing module is used for generating particle swarm optimizing space by using information in the plurality of management blocks through a PSO algorithm, determining a first business item from the business item set, optimizing the particle swarm optimizing space through the first business item, and outputting an optimizing result, wherein the optimizing result is an information sharing optimizing result;
and the sharing authority establishing module is used for establishing sharing authority through the information sharing optimizing result so as to enable the plurality of management blocks to call sharing information.
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