CN113780786A - Project requirement matching method and device and storage medium - Google Patents

Project requirement matching method and device and storage medium Download PDF

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CN113780786A
CN113780786A CN202111020564.8A CN202111020564A CN113780786A CN 113780786 A CN113780786 A CN 113780786A CN 202111020564 A CN202111020564 A CN 202111020564A CN 113780786 A CN113780786 A CN 113780786A
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吴风
谢金林
刘维松
赵迎芳
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Orange Cloud Internet Design Co ltd
Beijing Uni Orange Technology Co ltd
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Orange Cloud Internet Design Co ltd
Beijing Uni Orange Technology Co ltd
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Abstract

The application discloses a project requirement matching method and device and a storage medium. The method comprises the following steps: generating corresponding solving party project information according to capability information of a solving party, wherein the capability information is used for indicating project solving capability of the solving party on each business project category, and the solving party project information is used for indicating a solving party project category matched with the project solving capability of the solving party; acquiring demand information of a demand party; determining demand item information associated with the demand information, wherein the demand item information is used for indicating at least one demand item category associated with the demand information; and judging whether the demand side is matched with the solution side or not according to the demand item information and the solution side item information.

Description

Project requirement matching method and device and storage medium
Technical Field
The present application relates to the field of industrial internet technologies, and in particular, to a method and an apparatus for matching project requirements, and a storage medium.
Background
In the field of industrial internet technology, more and more data processing technologies are used to more efficiently match project demanders and project resolvers of business projects. Generally, the matching process is developed according to the development design process of the product of the demand side, that is, the industrial internet platform firstly collects the demand information of the demand side, then splits the demand information of the demand side into at least one related business item, and then searches the adaptive solution side according to the split business item. For example, the industrial internet receives demand information of a demand party about a mobile phone, then the industrial internet splits the mobile phone into a plurality of related service items, such as a display, an antenna, a radio frequency circuit and the like, and then matches a solution party corresponding to each service item according to the split service items.
However, since the industrial internet platform only matches the solution party according to the demand information of the demand party, the utilization efficiency of the data information of the solution party and the demand party is low. For example, data collected by the industrial internet platform, such as solver capability information regarding project capabilities of solvers, can only be triggered for processing if a requester proposes a relevant demand. This results in a very inefficient use of the data information of the solution side.
Aiming at the technical problem that the industrial internet platform in the prior art only matches a solution party according to the demand information of a demand party, so that the utilization efficiency of the data information of the solution party and the demand party is low, an effective solution is not provided at present.
Disclosure of Invention
The embodiment of the disclosure provides a project requirement matching method, a project requirement matching device and a storage medium, so as to solve at least the technical problem that in the prior art, an industrial internet platform only matches a solving party according to requirement information of a demand party, and therefore, the utilization efficiency of data information of the solving party and the demand party is low.
According to an aspect of the embodiments of the present disclosure, there is provided a method for matching project requirements, including: generating corresponding solving party project information according to capability information of a solving party, wherein the capability information is used for indicating project solving capability of the solving party on each business project category, and the solving party project information is used for indicating a solving party project category matched with the project solving capability of the solving party; acquiring demand information of a demand party; determining demand item information associated with the demand information, wherein the demand item information is used for indicating at least one demand item category associated with the demand information; and judging whether the demand side is matched with the solution side or not according to the demand item information and the solution side item information.
According to another aspect of the embodiments of the present disclosure, there is also provided a storage medium including a stored program, wherein the method described above is performed by a processor when the program is executed.
According to another aspect of the embodiments of the present disclosure, there is also provided a matching apparatus for project requirements, including: the system comprises a solving party project information generation module, a solving party project information generation module and a solving party project information generation module, wherein the solving party project information generation module is used for generating corresponding solving party project information according to capability information of a solving party, the capability information is used for indicating project solving capability of the solving party on various business project categories, and the solving party project information is used for indicating a solving party project category matched with the project solving capability of the solving party; the demand information acquisition module is used for acquiring demand information of a demand party; the demand item information determining module is used for determining demand item information associated with the demand information, wherein the demand item information is used for indicating at least one demand item category associated with the demand information; and the matching module is used for judging whether the demand side is matched with the solution side or not according to the demand item information and the solution side item information.
According to another aspect of the embodiments of the present disclosure, there is also provided a matching apparatus for project requirements, including: a processor; and a memory coupled to the processor for providing instructions to the processor for processing the following processing steps: generating corresponding solving party project information according to capability information of a solving party, wherein the capability information is used for indicating project solving capability of the solving party on each business project category, and the solving party project information is used for indicating a solving party project category matched with the project solving capability of the solving party; acquiring demand information of a demand party; determining demand item information associated with the demand information, wherein the demand item information is used for indicating at least one demand item category associated with the demand information; and judging whether the demand side is matched with the solution side or not according to the demand item information and the solution side item information.
Therefore, the technical solution of this embodiment not only considers matching the solution party according to the demand information of the demand party, but also determines, from the capability information of the solution party, solution party item information indicating a business item matching the item capability of the solution party according to the capability information of the solution party, and determines the demand party matching the solution party according to the solution party item information. Therefore, by the mode, the industrial internet server can fully utilize the data of the solution party and the demand party to perform matching operation of multiple dimensions, so that the utilization efficiency of the data information of the industrial internet platform is improved, and the technical problem that the industrial internet platform only matches the solution party according to the demand information of the demand party in the prior art, so that the utilization efficiency of the data information of the solution party and the demand party is low is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the disclosure and together with the description serve to explain the disclosure and not to limit the disclosure. In the drawings:
fig. 1 is a hardware block diagram of a computing device for implementing the method according to embodiment 1 of the present disclosure;
fig. 2 is a schematic diagram of an industrial internet system for implementing the project requirement matching method according to embodiment 1 of the present disclosure;
fig. 3 is a schematic flow chart of a project requirement matching method according to the first aspect of embodiment 1 of the present disclosure;
FIG. 4 is a schematic diagram of a knowledge-graph corresponding to a resolver item category of a resolver according to embodiment 1 of the present disclosure;
fig. 5 is a schematic diagram of a second set of nodes determined on the knowledge-graph according to embodiment 1 of the present disclosure;
fig. 6 is a schematic diagram of a case where second node sets determined on the knowledge-graph are distributed with higher dispersion in the knowledge-graph according to embodiment 1 of the present disclosure;
fig. 7 is a schematic diagram of a case where second node sets determined on the knowledge-graph are distributed with lower dispersion in the knowledge-graph according to embodiment 1 of the present disclosure;
fig. 8 is a flowchart of a sequence according to embodiment 1 of the present disclosure;
FIG. 9 is a schematic diagram of a project requirement matching device according to embodiment 2 of the present disclosure; and
fig. 10 is a schematic diagram of a project requirement matching device according to embodiment 3 of the present disclosure.
Detailed Description
In order to make those skilled in the art better understand the technical solutions of the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure. It is to be understood that the described embodiments are merely exemplary of some, and not all, of the present disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein are capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
According to the present embodiment, there is provided a method embodiment of a method of matching project requirements, it being noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer-executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than here.
The method embodiments provided by the present embodiment may be executed in a mobile terminal, a computer terminal, a server or a similar computing device. Fig. 1 illustrates a hardware block diagram of a computing device for implementing a method of matching project requirements. As shown in fig. 1, the computing device may include one or more processors (which may include, but are not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory for storing data, and a transmission device for communication functions. Besides, the method can also comprise the following steps: a display, an input/output interface (I/O interface), a Universal Serial Bus (USB) port (which may be included as one of the ports of the I/O interface), a network interface, a power source, and/or a camera. It will be understood by those skilled in the art that the structure shown in fig. 1 is only an illustration and is not intended to limit the structure of the electronic device. For example, the computing device may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1.
It should be noted that the one or more processors and/or other data processing circuitry described above may be referred to generally herein as "data processing circuitry". The data processing circuitry may be embodied in whole or in part in software, hardware, firmware, or any combination thereof. Further, the data processing circuitry may be a single, stand-alone processing module, or incorporated in whole or in part into any of the other elements in the computing device. As referred to in the disclosed embodiments, the data processing circuit acts as a processor control (e.g., selection of a variable resistance termination path connected to the interface).
The memory may be configured to store software programs and modules of application software, such as program instructions/data storage devices corresponding to the item requirement matching method in the embodiments of the present disclosure, and the processor executes various functional applications and data processing by running the software programs and modules stored in the memory, that is, implementing the item requirement matching method of the application program. The memory may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory may further include memory located remotely from the processor, which may be connected to the computing device over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission device is used for receiving or transmitting data via a network. Specific examples of such networks may include wireless networks provided by communication providers of the computing devices. In one example, the transmission device includes a network adapter (NIC) that can be connected to other network devices through a base station so as to communicate with the internet. In one example, the transmission device may be a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.
The display may be, for example, a touch screen type Liquid Crystal Display (LCD) that may enable a user to interact with a user interface of the computing device.
It should be noted here that in some alternative embodiments, the computing device shown in fig. 1 described above may include hardware elements (including circuitry), software elements (including computer code stored on a computer-readable medium), or a combination of both hardware and software elements. It should be noted that FIG. 1 is only one example of a particular specific example and is intended to illustrate the types of components that may be present in a computing device as described above.
Fig. 2 is a schematic diagram of an industrial internet system for executing the project requirement matching method according to the present embodiment. Referring to fig. 2, the system includes: a resolver device 110, a demander device 120, an industrial internet server 200, and a database 300. Wherein, the solution side device 110 and the demand side device 120 respectively communicate and interact with the industrial internet server 200 through the network, so that the industrial internet server 200 acquires information related to the solution side from the solution side device 110 through the network and acquires information related to the demand side from the demand side device 120 through the network. In addition, the industrial internet server 200 may access the database 300 through a network, and store the acquired information in the database 300 or perform related information query. It should be noted that the solving party device 110, the demanding party device 120 and the industrial internet server 200 in the system can all be adapted to the above-mentioned hardware structure.
Under the above-described operating environment, according to the first aspect of the present embodiment, there is provided a method of matching project requirements, which is implemented by the industrial internet server 200 shown in fig. 2. Fig. 3 shows a flow diagram of the method, which, with reference to fig. 3, comprises:
s302: generating corresponding solving party project information according to the capability information of the solving party, wherein the capability information is used for indicating the project solving capability of the solving party about each business project category, and the solving party project information is used for indicating the solving party project category matched with the project solving capability of the solving party;
s304: acquiring demand information of a demand party;
s306: determining demand item information associated with the demand information, wherein the demand item information is used for indicating at least one demand item category associated with the demand information; and
s308: and judging whether the demand side is matched with the solution side or not according to the demand item information and the solution side item information.
Specifically, referring to fig. 2, the industrial internet server 200 may acquire capability information related to item resolution capabilities of various business item categories of a resolution party from the resolution party device 110 or from the database 300 through a network. Wherein the capability information may reflect the resolution party's ability to resolve the predetermined business item category from different dimensions. For example, a solution party can determine information of project capability, development capability, technical capability, service capability, management capability, and the like of a predetermined business project category in a plurality of different dimensions.
The project capability information reflects the capability of the solving party for implementing the service projects of the predetermined service project category, and the information can be determined according to the evaluation results of the service projects completed by the solving party, and if the evaluation results of the service projects completed by the solving party are all high, the project capability of the solving party in the service project category is high. The research and development ability information reflects the research and development ability level of the solving party on the business project category, and the information can be evaluated according to more aspects of research and development personnel, research and development equipment and fund investing situation of the solving party in the business project category. The technical capability information reflects the technical level of the solving party on the business project category, and the information can be evaluated according to the dimensions of technical development results, papers published in related journals, papers published in related conferences and the like, which are obtained by the solving party and are related to the business project category. The service capability information reflects the capability level of the resolution party for providing the service with respect to the business item category, and the information can be confirmed according to information of multiple dimensions such as pre-sales service evaluation and post-sales service evaluation of the resolution party. The management capability information reflects the management capability of the resolution party with respect to the business item category.
Thus, the industrial internet server 200 can determine the resolver project information of the resolver 110 reflecting the business project category matching the project resolving capability of the resolver 110, from the capability information of the resolver 110 (S302). For example, project resolution capabilities may be different for the same resolver 110 with respect to different categories of business projects. For example, the solving party 110 is good at designing business projects of mobile phones and has strong project solving capability in radio frequency circuit or antenna design, but has insufficient project solving capability in desktop hosts or server design and the like. Therefore, the industrial internet server 200 determines the resolution party item information of the resolution party 110 by determining the business item category of the business item that the resolution party 110 can resolve, based on the capability information of the resolution party 110 for different business item categories.
Then, the industrial internet server 200 can acquire the requirement information of the requiring party 120 from the database 300 (S304). The requirement information may be requirement information of the demanding party about the predetermined service, for example, requirement of the demanding party about the 'mobile phone'.
Then, the industrial internet server 200 determines associated demand item information indicating at least one demand item category associated with the demand information according to the demand information (S306). For example: the requirement information of the requirement party is "mobile phone", and then the industrial internet server 200 determines the requirement item category of the requirement item associated with the requirement party according to the hierarchical structure of the item, where the requirement item category may be "mobile phone", for example, or may be a category further split from the "mobile phone" category, such as "display screen", "radio frequency circuit", "battery", and "lens", for example. In addition, the industrial internet server 200 may also acquire demand information of a plurality of demand parties and determine related demand item information, respectively.
The industrial internet server 200 then determines whether the demander 120 and the resolver 110 are matched according to the demand item information of the demander 120 and the resolver item information of the resolver 110 (S308). For example, the industrial internet server 200 may match the demand item information of the demand side 120 with the solution side item information of the solution side 110 by means of keyword matching, and determine whether the demand side 120 and the solution side 110 are matched according to the matching result. For example, if the resolver item information of the resolver 110 does not include a keyword of the category of the demand item in the demand item information of the demand party 120, it is determined that the resolver 110 does not match the demand party 120. If the resolver item information of the resolver 110 includes a keyword of at least one category of demand items in the demand item information of the demand party 120, it is determined that the resolver 110 matches the demand party 120.
As described in the background art, the existing industrial internet platform only matches the solution party according to the demand information of the demand party, so that the utilization efficiency of the data information of the solution party and the demand party is low. For example, data collected by the industrial internet platform, such as solver capability information regarding project capabilities of solvers, can only be triggered for processing if a requester proposes a relevant demand. This results in a very inefficient use of the data information of the solution side.
For the technical problem in the background art, the technical solution of this embodiment not only considers matching the solution party according to the requirement information of the demand party, but also determines, starting from the capability information of the solution party, solution party item information for indicating a business item matched with the item capability of the solution party according to the capability information of the solution party, and determines the demand party matched with the solution party according to the solution party item information. Therefore, by the mode, the industrial internet server can fully utilize the data of the solution party and the demand party to perform matching operation of multiple dimensions, so that the utilization efficiency of the data information of the industrial internet platform is improved, and the technical problem that the industrial internet platform only matches the solution party according to the demand information of the demand party in the prior art, so that the utilization efficiency of the data information of the solution party and the demand party is low is solved.
Optionally, the operation of generating the resolver item information of the resolver according to the capability information of the resolver includes: determining an integral value of project resolution capability of the resolution party on each business project category according to resolution party capability attribute information contained in the capability information, wherein the resolution party capability attribute information is used for indicating capability attributes of the resolution party on each business project category; sorting all the business item categories according to the integral values, and selecting the business item categories with the highest integral value and the preset number as the item categories of the solving party corresponding to the solving party; and generating the resolver project information according to the resolver project category.
In particular, table 1 below shows capability information of the resolver 110. Referring to table 1, the project resolution capabilities of the resolvers 110 embodied in different project categories are different. As described above, the solution party 110 is good at the business project of handset design and has strong project solution capability in the radio frequency circuit or in the antenna design, but has insufficient project solution capability in the aspects of lens design and chip design.
Table 1: resolving energy information
Figure BDA0003241780040000081
Therefore, as shown in table 1 above, the database 300 stores the capability information of the resolver, or the capability information received from the resolver device 110 contains parameter values (i.e., resolver capability attribute information) regarding 5 capability attributes of the resolver 110, such as project capability, development capability, technical capability, service capability, and management capability.
For example, the resolution party 110 has an item capability value of Q with respect to the item category 1 (e.g., cell phone)11The research and development ability value is Q12Technical ability value of Q13Service capability value of Q14Management ability value is Q15. The item capability value of the solver 110 with respect to the item category 2 (e.g., shot) is Q21The research and development ability value is Q22Technical ability value of Q23Service capability value of Q24Management ability value is Q25. By analogy, the resolution party 110 has an item capability value of Q with respect to the item category nn1The research and development ability value is Qn2Technical ability value of Qn3Service capability value of Qn4Management ability value is Qn5。
Thus, the industrial Internet server 200 can determine the capability parameter values Q for the respective item categories 1 to n according to the resolution party 11011～Qn5Determining the value of the integral Q of the project resolving power of the resolving party 110 with respect to the respective project categories 1 to n1～Qn. In particular, the industry is interconnectedThe networked server 200 may calculate the integral value from the respective capability parameter values, for example, in a weighted summation. The specific formula is as follows:
Qi＝w1*Qi1+w2*Qi2+w3*Qi3+w4*Qi4+w5*Qi5
where Qi is the integral value of the resolving power of the resolver 110 with respect to the item category i, Qi1Is a parameter value, Q, of the project capability of the resolution party 110 with respect to the project category ii2Is a parameter value, Q, of the developer's 110 development ability with respect to project class ii3Is a parameter value, Q, of the technical capability of the solution party 110 with respect to the item category ii4Is a parameter value, Q, of the service capability of the resolution party 110 with respect to the item category ii5Is a parameter value of the management capability of the resolution party 110 with respect to the item category i, and w1～w5The weight values are respectively corresponding to the parameter values. Each weight value can be preset according to actual needs.
On this basis, the industrial Internet server 200 can integrate the value Q of the solution ability of the solution side 110 with respect to each of the item categories 1 to n1～QnSorting is performed and the item category corresponding to a predetermined number (e.g., 1, 3, or 5) of point values with the highest point value is selected as the resolver item category corresponding to the resolver 110. The industrial internet server 200 can then generate the resolver project information corresponding to the resolver 110 according to the resolver project category.
In this manner, the project solutions capabilities of the solver 110 can thus be analyzed from multiple dimensions, enabling accurate assessment of project solutions capabilities of the solver 110 with respect to different categories of projects and categories of projects that match the solutions capabilities of the solver 110. Thereby enabling the matching of the demander 120 to the solver 110 with greater accuracy.
Optionally, the operation of acquiring the requirement information of the requiring party includes: searching in a demand information data source related to the category of the resolution party item, and acquiring the demand information related to the category of the resolution party item.
Specifically, the industrial internet server 200, when storing the demand information in the database 300, is also divided by the item category, thereby storing the demand information in data sources (e.g., data tables) associated with different item categories. Since the industrial internet server 200 has already determined the resolver item category associated with the resolver 110, the industrial internet server 200 can search in the data sources associated with the resolver item category to search out the relevant demand information when searching for the demand side information.
In this way, the industrial internet server 200 searches the demand information from the data source associated with the solution party item category, thereby reducing the workload of searching data and improving the accuracy of searching data.
Optionally, the operation of determining the demand item information associated with the demand information includes: determining an integral value of project solution capability required by a solution party of each business project type by a demand party according to capability attribute demand information contained in the demand information, wherein the capability attribute demand information is used for indicating the demand of the solution party on the capability attribute of each project type by the demand party; and sequencing all the business item categories according to the integral value, and selecting the business item categories with the highest integral value and the preset number as the demand item categories.
Specifically, the following table 2 shows capability attribute requirement information contained in the requirement information of the demander 120:
table 2: demand information of a demander
Figure BDA0003241780040000101
As shown in the above table, the demand information of the demand side stored in the database 300 includes parameter values (i.e., the demand side capability attribute information) of 5 capability attributes, such as project capability, development capability, technical capability, service capability, and management capability of the solution side required by the demand side 120 with respect to each project category.
For example, the project ability value of the demander 120 with respect to the project category 1 (e.g., cell phone) needing to be resolved is P11The research and development ability value is P12Technical ability value of P13Service capability value of P14Management ability value is P15. The item capability value of the demander 120 with respect to the item category 2 (e.g., shot) solution-requiring party is P21The research and development ability value is P22Technical ability value of P23Service capability value of P24Management ability value is P25. By analogy, the project capability value of the requiring party 120 with respect to the project category n requiring solution is Pn1The research and development ability value is Pn2Technical ability value of Pn3Service capability value of Pn4Management ability value is Pn5。
Accordingly, the industrial Internet server 200 can respond to the parameter value P of the demander 120 with respect to the capability attribute demand information of each item category 1 to n11～Pn5The integral value P of the required item resolution capability of the demander 120 with respect to each of the item categories 1 to n is determined1～Pn. Specifically, the industrial internet server 200 may calculate the integration value from the respective capability parameter values in a weighted sum manner, for example. The specific formula is as follows:
Pi＝w1*Pi1+w2*Pi2+w3*Pi3+w4*Pi4+w5*Pi5
where Pi is the integral value of the demanded solution capability of the demand side 120 with respect to the item class i, Pi1Is a parameter value, P, of the project capability of the demanded resolver of the demanded party 120 with respect to the project category ii2Is a parameter value, P, of the developer's ability of the demander 120 to develop on the solution required by the project category ii3Is a parameter value, P, of the technical capability of the solution required by the demander 120 with respect to the item category ii4Is a parameter value, P, of the demander 120's required service capabilities with respect to the resolvers of the item category ii5Parameter values of the solution required by the management capability of the demander 120 with respect to the item category i, and w1～w5Are respectively provided withAre weight values corresponding to the respective parameter values. Each weight value can be preset according to actual needs.
On this basis, the industrial Internet server 200 can integrate the value P of the solution ability required by the demander 120 with respect to each of the item categories 1 to n1～PnSorting is performed, and the item categories corresponding to a predetermined number (e.g., 1, 3, or 5) of point values with the highest point value are selected as the required item categories of the demander 120.
Thus, by this way, the project requirement of the demand side 120 can be analyzed from multiple dimensions, so that the project category actually required by the demand side 120 can be accurately evaluated, and the demand side 120 can be more accurately matched with the solution side 110.
Optionally, the method further comprises: and generating a knowledge graph related to the project solving capability of the solving party according to the solving party project information, wherein the knowledge graph comprises a first node set corresponding to the solving party project categories, and the nodes in the first node set respectively correspond to the solving party project categories.
Specifically, the industrial internet server 200, upon determining a resolver item category that matches the capabilities of the resolver 110, can generate a corresponding knowledge-graph from the resolver item category. Wherein figure 4 shows a schematic view of a portion of a knowledge-graph. Referring to FIG. 4, in the knowledge-graph, black nodes 411-412 are partial nodes in the first set of nodes corresponding to the resolver item categories of the resolver 110, which correspond to the resolver item categories, respectively. For example, the black node 411 is a node corresponding to the "mobile phone" category in the resolution project category, and the black node 412 is a node corresponding to the "tablet" category in the project category. And the white node is a related node corresponding to a related item category related to the resolution party item category determined according to a preset rule. The preset rule may be, for example, a rule based on item splitting. For example, the black node 411 corresponds to a "mobile phone" in the item categories, and since the mobile phone item can be further split into a plurality of item categories such as "display", "rf circuit", "rechargeable battery", "antenna", and "lens", the white node closest to the black node 411 corresponds to the item category of the split mobile phone item, and so on. Since the black node 412 is a node corresponding to the "tablet" category in the project category, there is a common association node with the "mobile phone" corresponding to the black node 411, as shown in fig. 4.
Thus, according to the method described in the present embodiment, after the category of the solution item of the solution party is determined, further expansion is performed according to the category of the solution item to generate a knowledge graph expanded based on the category of the solution item. Due to the technical relevance of each node of the knowledge graph, the knowledge graph can be used for more comprehensively and accurately matching operation.
Optionally, the operation of determining whether the demand side and the solution side are matched according to the demand item information and the solution side item information includes: determining a second node set corresponding to the required item information in the knowledge graph, wherein nodes in the second node set respectively correspond to the required item categories; and judging whether the demand side is matched with the solution side according to the position distribution of the first node set and the second node set in the knowledge graph.
Specifically, the industrial internet server 200 determines a second node set corresponding to the demand item information in the knowledge graph, wherein nodes in the second node set respectively correspond to the demand item categories. Specifically, referring to fig. 5, the nodes 511 and 512 marked with crosses are the second set of nodes in the knowledge-graph corresponding to the required item information. For example, the requirement item category may be matched with the item category corresponding to the node in the knowledge graph in a keyword matching manner, so as to determine a second node set corresponding to the requirement item information in the node of the knowledge graph.
Then, the industrial internet server 200 determines whether the demander 120 and the resolver 110 match based on the location distribution of the first set of nodes and the second set of nodes in the knowledge graph.
Specifically, the industrial internet server 200 can determine whether the demander 120 and the resolver 110 match according to the following rules:
and (I) if the nodes corresponding to the required item categories cannot be matched in the knowledge graph, directly judging that the required party is not matched with the solving party.
And (II) if at least one node in the second node set corresponding to the required item type matched in the knowledge graph is matched with the node in the first node set, the requirement party 120 is indicated that at least one required item type is matched with the solving party item type of the solving party 110. In this case, the matching of the demand side and the solution side is directly determined.
And (III) if the nodes in the knowledge-graph matched with the second node set corresponding to the requirement item category are distributed in the associated nodes of the knowledge-graph, as shown in FIG. 5. In this case, it is determined whether the demander 120 matches the resolver 110 as follows:
and step 1, aiming at each node in the second node set, determining the node closest to the node in the first node set. For example, referring to fig. 5, for node 511 in the second set of nodes, node 411 in the first set of nodes is the closest node thereto; for node 512 in the second set of nodes, nodes 411 and 412 in the first set of nodes are both the closest nodes to it.
And 2, calculating the node distance (namely the number of spaced edges) between each node in the second node set and the closest node in the first node set. For example, node 511 is separated from the closest node 411 in the first set of nodes by 2 edges 601 and 602, so the node distance between node 511 and the closest node in the first set of nodes is 2. Since node 512 is separated from the closest node 411 or 412 in the first set of nodes by 1 edge 603 or 604, the node distance between node 512 and the closest node in the first set of nodes is 1.
And 3, calculating an average node distance according to the node distances corresponding to the nodes in the second node set calculated in the step 2.
And 4, comparing the calculated average node distance with a preset threshold value, and judging that the demand side 120 is matched with the solution side 110 when the average node distance is smaller than the preset threshold value.
Specifically, according to the method of the present embodiment, the knowledge graph generated according to the category of the solution side project can reflect the relevance between the various categories of the project expanded according to the category of the solution side project. Therefore, when the average node distance between each node in the second node set corresponding to the demand item category in the knowledge graph and the closest node in the first node set is smaller than the preset threshold value, the situation that strong similarity and relevance exist between the distribution of the demand item category of the demand party and the distribution of the project category of the solution party is shown. It can therefore be determined whether the demander 120 and the resolver 110 match based on the average node distance described above.
In addition, in order to better realize the matching between the demander 120 and the resolver 110, in step 4, in the case that the average node distance is smaller than the preset threshold, it may be further determined whether the demander 120 and the resolver 110 are matched according to the following steps.
And 5, determining a centroid node closest to the centroid position of the second node set in the knowledge graph according to each node in the second node set. Specifically, referring to FIG. 6, the second set of nodes includes, for example, nodes 511-513, and the centroid node corresponding thereto is node 411. Referring also to FIG. 7, the second set of nodes includes nodes 511-513, for example, and the centroid node corresponding thereto is also node 411.
And 6, determining the discrete degree of the second node set according to the distance between each node in the second node set and the centroid node. For example, the degree of dispersion may be characterized by an average distance between each node in the second set of nodes and the centroid node. The smaller the average distance, the lower the dispersion of the second set of nodes. For example, referring to fig. 6 and 7, the dispersion of the second set of nodes shown in fig. 6 is larger than that of the second set of nodes shown in fig. 7.
And 7, comparing the dispersion of the second node set with a preset threshold, and when the dispersion of the second node set is greater than the preset threshold, judging that the demander 120 is not matched with the resolver 110. Otherwise, the demander 120 is determined to match the resolver 110.
Specifically, as described above, the knowledge graph generated according to the category of the solution item can reflect the relevance between the item categories expanded according to the category of the solution item. In this case, therefore, the dispersion of the second set of nodes in the knowledge-graph can reflect the association between the demand item categories of the demander 120 under the constraint of item resolution capability with respect to the resolver 110. The more closely related, it is more convenient for the resolution capabilities of the project of the resolution party 110 to resolve the projects. The different knowledge graphs corresponding to different solution parties have different structures, so that the corresponding second node sets in the knowledge graphs have different dispersion degrees even if the same demand party exists. Therefore, the method of the embodiment can determine which demands of the demander are more convenient for the resolver to resolve by using the knowledge graph related to the category of the resolver item of the resolver, and the determination can be used as a basis for determining whether the new demander is matched with the resolver. Therefore, the matched solving party can better provide service for the demand party, and the matching result of the demand party and the solving party is more accurate.
Optionally, the method further comprises: and under the condition that the demander is matched with the resolver, transmitting the resolver information of the resolver to the demander. Specifically, in the case where the industrial internet server 200 determines that the demander 120 matches the resolver 110, the resolver information of the resolver 110 is transmitted to the demander 120. So that the industrial internet server 200 can automatically recommend the solution party 110 to the matching demand party 120 according to the capability information of the solution party 110.
In addition, fig. 8 shows a specific flowchart sequence diagram of the method according to this embodiment, and referring to fig. 8, the method according to this embodiment includes:
s802: acquiring the resolver capability information of the resolver 110, the resolver capability information including capability attribute information of the resolver 110 about each project category, for example, project capability, development capability, technical capability, service capability, management capability, and the like;
s804: determining a resolver item category matched with the capability of the resolver 110 according to the capability attribute information of the resolver 110, and generating resolver item information according to the category;
s806: generating a corresponding knowledge graph according to the resolver project information of the resolver 110, wherein the knowledge graph comprises a first node set corresponding to the resolver project category and further comprises an associated node corresponding to an associated project associated with the resolver project category;
s808: acquiring requirement information of a demand party from a data source related to the project categories of the solution party, wherein the requirement information includes capability attribute information, such as project capability, research and development capability, technical capability, service capability, management capability and the like, which is required to be achieved by the solution party about each project category by the demand party 120;
s810: generating a demand item category corresponding to the demand information according to the capacity attribute information in the demand information;
s812: determining a second set of nodes corresponding to the category of the demand item in the knowledge graph;
s814: determining whether the demander 120 and the resolver 110 are matched according to the position distribution of the first node set and the second node set; and
s816: in the event that it is determined that the claimant 120 matches the claimant 110, the claimant information for the claimant is sent to the claimant 120.
Further, referring to fig. 1, according to a second aspect of the present embodiment, there is provided a storage medium. The storage medium comprises a stored program, wherein the method of any of the above is performed by a processor when the program is run.
According to the technical scheme, the solution party is matched according to the demand information of the demand party, the solution party item information used for indicating the business item matched with the item capacity of the solution party is determined according to the capacity information of the solution party from the capacity information of the solution party, and the demand party matched with the solution party is determined according to the solution party item information. Therefore, by the mode, the industrial internet server can fully utilize the data of the solution party and the demand party to perform matching operation of multiple dimensions, so that the utilization efficiency of the data information of the industrial internet platform is improved, and the technical problem that the industrial internet platform only matches the solution party according to the demand information of the demand party in the prior art, so that the utilization efficiency of the data information of the solution party and the demand party is low is solved.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
Example 2
Fig. 9 shows a matching apparatus 900 for item requirements according to the present embodiment, the apparatus 500 corresponding to the method according to the first aspect of embodiment 1. Referring to fig. 9, the apparatus 900 includes: a resolver project information generating module 910, configured to generate corresponding resolver project information according to capability information of a resolver, where the capability information is used to indicate project resolving capabilities of the resolver with respect to various business project categories, and the resolver project information is used to indicate resolver project categories matching the project resolving capabilities of the resolver; a demand information obtaining module 920, configured to obtain demand information of a demand party; a demand item information determination module 930 for determining demand item information associated with the demand information, wherein the demand item information indicates at least one demand item category associated with the demand information; and a matching module 940 for determining whether the demander and the resolver are matched according to the demand item information and the resolver item information.
Optionally, the resolver project information generating module 910 includes: a first integral determination sub-module, configured to determine, according to the resolving party capability attribute information included in the capability information, an integral value of item resolving capability of the resolving party with respect to each business item category, where the resolving party capability attribute information is used to indicate a capability attribute of the resolving party with respect to each business item category; the first selection submodule is used for sequencing all the business item categories according to the integral value and selecting the business item categories with the highest integral value and the preset number as the item categories of the solution party; and the resolution party project information generation submodule is used for generating resolution party project information according to the resolution party project category.
Optionally, the demand information obtaining module 920 includes: and the demand information acquisition submodule is used for searching in a demand information data source related to the category of the solving party project and acquiring the demand information related to the category of the solving party project.
Optionally, the demand item information determining module 930 includes: the second integral determining submodule is used for determining an integral value of the item solution capability required by the solution party of each business item category by the demand party according to capability attribute demand information contained in the demand information, wherein the capability attribute demand information is used for indicating the demand of the solution party by each item category on the capability attribute of the solution party by the demand party; and the second selection submodule is used for sequencing all the business item categories according to the integral value and selecting the business item categories with the highest integral value and the preset number as the required item categories.
Optionally, the apparatus 900 further comprises: and the knowledge graph generating module is used for generating a knowledge graph related to the project solving capability of the solving party according to the solving party project information, wherein the knowledge graph comprises a first node set corresponding to the solving party project categories, and the nodes in the first node set respectively correspond to the solving party project categories.
Optionally, the matching module 940 includes: the node determining submodule is used for determining a second node set corresponding to the required item information in the knowledge graph, wherein nodes in the second node set respectively correspond to the required item categories; and the matching submodule is used for judging whether the demand side is matched with the solution side according to the position distribution of the first node set and the second node set in the knowledge graph.
Optionally, the apparatus 900 further includes a sending module, configured to send the resolver information of the resolver to the demander in a case that it is determined that the demander matches the resolver.
Therefore, the technical solution of this embodiment not only considers matching the solution party according to the demand information of the demand party, but also determines, from the capability information of the solution party, solution party item information indicating a business item matching the item capability of the solution party according to the capability information of the solution party, and determines the demand party matching the solution party according to the solution party item information. Therefore, by the mode, the industrial internet server can fully utilize the data of the solution party and the demand party to perform matching operation of multiple dimensions, so that the utilization efficiency of the data information of the industrial internet platform is improved, and the technical problem that the industrial internet platform only matches the solution party according to the demand information of the demand party in the prior art, so that the utilization efficiency of the data information of the solution party and the demand party is low is solved.
Example 3
Fig. 10 shows an apparatus 1000 for matching item requirements according to the present embodiment, the apparatus 1000 corresponding to the method according to the first aspect of embodiment 1. Referring to fig. 10, the apparatus 1000 includes: a processor 1010; and a memory 1020 coupled to the processor 1010 for providing instructions to the processor to process the following process steps: generating corresponding solving party project information according to the capability information of the solving party, wherein the capability information is used for indicating the project solving capability of the solving party about each business project category, and the solving party project information is used for indicating the solving party project category matched with the project solving capability of the solving party; acquiring demand information of a demand party; determining demand item information associated with the demand information, wherein the demand item information is used for indicating at least one demand item category associated with the demand information; and judging whether the demand side is matched with the solution side or not according to the demand item information and the solution side item information.
Optionally, the operation of generating the resolver item information of the resolver according to the capability information of the resolver includes: determining an integral value of project resolution capability of the resolution party on each business project category according to resolution party capability attribute information contained in the capability information, wherein the resolution party capability attribute information is used for indicating capability attributes of the resolution party on each business project category; sorting all the business item categories according to the integral values, and selecting the business item categories with the highest integral value and the preset number as the item categories of the solution party; and generating the resolver project information according to the resolver project category.
Optionally, the operation of acquiring the requirement information of the requiring party includes: searching the demand information data source related to the category of the solving side project, and acquiring the demand information related to the category of the solving side project.
Optionally, the operation of determining the demand item information associated with the demand information includes: determining an integral value of project solution capability required by a solution party of each business project type by a demand party according to capability attribute demand information contained in the demand information, wherein the capability attribute demand information is used for indicating the demand of the solution party on the capability attribute of each project type by the demand party; and sequencing all the business item categories according to the integral value, and selecting the business item categories with the highest integral value and the preset number as the demand item categories.
Optionally, the memory 1020 is further configured to provide the processor with instructions to process the following processing steps: generating a knowledge graph related to project solving capability of a solving party according to the project information of the solving party, wherein the knowledge graph comprises a first node set corresponding to project categories of the solving party, and nodes in the first node set respectively correspond to project categories of the solving party;
optionally, the operation of determining whether the demand side and the solution side are matched according to the demand item information and the solution side item information includes: determining a second node set corresponding to the required item information in the knowledge graph, wherein nodes in the second node set respectively correspond to the required item categories; and judging whether the demand side is matched with the solution side according to the position distribution of the first node set and the second node set in the knowledge graph.
Optionally, the memory 1020 is further configured to provide the processor with instructions to process the following processing steps: and under the condition that the demander is matched with the resolver, transmitting the resolver information of the resolver to the demander.
Therefore, the technical solution of this embodiment not only considers matching the solution party according to the demand information of the demand party, but also determines, from the capability information of the solution party, solution party item information indicating a business item matching the item capability of the solution party according to the capability information of the solution party, and determines the demand party matching the solution party according to the solution party item information. Therefore, by the mode, the industrial internet server can fully utilize the data of the solution party and the demand party to perform matching operation of multiple dimensions, so that the utilization efficiency of the data information of the industrial internet platform is improved, and the technical problem that the industrial internet platform only matches the solution party according to the demand information of the demand party in the prior art, so that the utilization efficiency of the data information of the solution party and the demand party is low is solved.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-only memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.

Claims (10)

1. A method for matching project requirements, comprising:
generating corresponding solving party project information according to capability information of a solving party, wherein the capability information is used for indicating project solving capability of the solving party on each business project category, and the solving party project information is used for indicating a solving party project category matched with the project solving capability of the solving party;
acquiring demand information of a demand party;
determining demand item information associated with the demand information, wherein the demand item information is used for indicating at least one demand item category associated with the demand information; and
and judging whether the demand side is matched with the solution side or not according to the demand item information and the solution side item information.
2. The method of claim 1, wherein the operation of generating the resolver item information of the resolver according to the resolver capability information comprises:
determining an integral value of project solution capability of the solving party about each business project category according to solving party capability attribute information contained in the capability information, wherein the solving party capability attribute information is used for indicating capability attributes of the solving party about each business project category;
sorting the business item categories according to the integral values, and selecting the business item categories with the highest integral value and the preset number as the item categories of the solution party; and
and generating the solving party project information according to the solving party project category.
3. The method of claim 2, wherein the operation of obtaining the demand information of the demand party comprises: searching a demand information data source related to the category of the solving party project, and acquiring the demand information related to the category of the solving party project.
4. The method of claim 1, wherein determining demand item information associated with the demand information comprises:
determining an integral value of project solution capacity required by a solution party of each business project type by the demand party according to capacity attribute demand information contained in the demand information, wherein the capacity attribute demand information is used for indicating the demand of the solution party on capacity attributes of the solution party by each project type by the demand party; and
and sorting the business item categories according to the integral values, and selecting the business item categories with the highest integral value and the preset number as the requirement item categories.
5. The method of claim 1, further comprising: and generating a knowledge graph related to project solving capacity of the solving party according to the solving party project information, wherein the knowledge graph comprises a first node set corresponding to the solving party project categories, and nodes in the first node set respectively correspond to the solving party project categories.
6. The method of claim 5, wherein the operation of determining whether the demander and the resolver match based on the demand item information and the resolver item information comprises:
determining a second node set corresponding to the required item information in the knowledge graph, wherein nodes in the second node set respectively correspond to required item categories; and
and judging whether the demander is matched with the resolver or not according to the position distribution of the first node set and the second node set in the knowledge graph.
7. The method of claim 1, further comprising: and under the condition that the required party is matched with the solving party, sending the solving party information of the solving party to the required party.
8. A storage medium comprising a stored program, wherein the method of any one of claims 1 to 8 is performed by a processor when the program is run.
9. An apparatus for matching project requirements, comprising:
the system comprises a solving party project information generation module, a solving party project information generation module and a solving party project information generation module, wherein the solving party project information generation module is used for generating corresponding solving party project information according to capability information of a solving party, the capability information is used for indicating project solving capability of the solving party on various business project categories, and the solving party project information is used for indicating a solving party project category matched with the project solving capability of the solving party;
the demand information acquisition module is used for acquiring demand information of a demand party;
the demand item information determining module is used for determining demand item information associated with the demand information, wherein the demand item information is used for indicating at least one demand item category associated with the demand information; and
and the matching module is used for judging whether the demander is matched with the resolver or not according to the demand item information and the resolver item information.
10. An apparatus for matching project requirements, comprising:
a processor; and
a memory coupled to the processor for providing instructions to the processor for processing the following processing steps:
generating corresponding solving party project information according to capability information of a solving party, wherein the capability information is used for indicating project solving capability of the solving party on each business project category, and the solving party project information is used for indicating a solving party project category matched with the project solving capability of the solving party;
acquiring demand information of a demand party;
determining demand item information associated with the demand information, wherein the demand item information is used for indicating at least one demand item category associated with the demand information; and
and judging whether the demand side is matched with the solution side or not according to the demand item information and the solution side item information.
CN202111020564.8A 2021-09-01 2021-09-01 Project requirement matching method and device and storage medium Pending CN113780786A (en)

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JP2020030826A (en) * 2018-08-21 2020-02-27 ７ｓ ＨＯＬＤＩＮＧ株式会社 Information processing apparatus
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Application publication date: 20211210