CN114615311B - Enterprise information processing method, device, equipment and storage medium - Google Patents

Enterprise information processing method, device, equipment and storage medium Download PDF

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Publication number
CN114615311B
CN114615311B CN202210201509.7A CN202210201509A CN114615311B CN 114615311 B CN114615311 B CN 114615311B CN 202210201509 A CN202210201509 A CN 202210201509A CN 114615311 B CN114615311 B CN 114615311B
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enterprise
information
enterprises
communication
terminal equipment
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CN114615311A (en
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刘晓峰
孙小雪
常豪
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Ping An International Financial Leasing Co Ltd
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Ping An International Financial Leasing Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/14—Session management
    • H04L67/141—Setup of application sessions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/067—Enterprise or organisation modelling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/04—Manufacturing
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

Abstract

The invention relates to the field of artificial intelligence, and discloses an enterprise information processing method, device, equipment and storage medium. The method comprises the following steps: acquiring production description information and geographic positions of enterprises with set quantity; calculating the association degree between enterprises according to the production description information and the geographic position, and determining the same-industry enterprises of the enterprises according to the association degree calculation result; and sending the communication information of the same-industry enterprises of the enterprises to the terminal equipment of the enterprises, so that the terminal equipment of the enterprises establishes communication connection with the terminal equipment of the same-industry enterprises according to the communication information, and performs information interaction based on the established communication connection. The method and the device can further process the related information of each enterprise, accurately determine the same-industry enterprises of the enterprises according to the production description information and the geographic position of the enterprises, and push the communication information of the same-industry enterprises to the terminal equipment of the enterprises.

Description

Enterprise information processing method, device, equipment and storage medium
Technical Field
The embodiment of the invention relates to the technical field of artificial intelligence, in particular to an enterprise information processing method, device, equipment and storage medium.
Background
When encountering technical problems or emergencies which are difficult to solve, enterprises need to be contacted with enterprises in the same industry in time, and the problems are solved or countermeasures are taken with the assistance of the enterprises in the same industry, so that the normal operation of the enterprise business is ensured.
In the related art, information interaction is generally performed by each enterprise in the same industry in an offline manner.
The related art has the following drawbacks: the existing enterprise interaction mode causes that the timely information exchange is difficult to be carried out among all enterprises in the same industry, and the important technical problem or emergency is difficult to immediately complete the interactive information transmission due to the hysteresis of the information interaction, so that the normal operation of the enterprise business is influenced.
Disclosure of Invention
The embodiment of the invention provides an enterprise information processing method, device, equipment and storage medium, which can further process related information of each enterprise, can accurately determine the same-industry enterprise of the enterprise according to production description information and geographic position of the enterprise, can push communication information of the same-industry enterprise to terminal equipment of the enterprise, so that the terminal equipment of the enterprise establishes communication connection with the terminal equipment of the same-industry enterprise, and performs information interaction based on the established communication connection.
In a first aspect, an embodiment of the present invention provides an enterprise information processing method, including:
acquiring production description information and geographic positions of enterprises with set quantity;
calculating the association degree between enterprises according to the production description information and the geographic position, and determining the same-industry enterprises of the enterprises according to the association degree calculation result;
and sending the communication information of the same-industry enterprises of the enterprises to the terminal equipment of the enterprises, so that the terminal equipment of the enterprises establishes communication connection with the terminal equipment of the same-industry enterprises according to the communication information, and performs information interaction based on the established communication connection.
In a second aspect, an embodiment of the present invention further provides an enterprise information processing apparatus, including:
the enterprise information acquisition module is used for acquiring production description information and geographic positions of enterprises with set quantity;
the business enterprise determining module is used for calculating the association degree between the enterprises according to the production description information and the geographic position, and determining the business enterprises of the enterprises according to the association degree calculation result;
the communication information sending module is used for sending the communication information of the same-industry enterprises of the enterprises to the terminal equipment of the enterprises so that the terminal equipment of the enterprises can establish communication connection with the terminal equipment of the same-industry enterprises according to the communication information and conduct information interaction based on the established communication connection.
In a third aspect, an embodiment of the present invention further provides a computer apparatus, including:
one or more processors;
storage means for storing one or more computer programs;
the one or more computer programs, when executed by the one or more processors, cause the one or more processors to perform the enterprise information processing methods described by embodiments of the present invention.
In a fourth aspect, the embodiment of the present invention further provides a computer readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the enterprise information processing method according to the embodiment of the present invention.
According to the technical scheme, the production description information and the geographic positions of enterprises with set quantity are obtained; then calculating the association degree between enterprises according to the production description information and the geographic position, and determining the same-industry enterprises of the enterprises according to the association degree calculation result; and finally, the communication information of the same-industry enterprises of each enterprise is sent to the terminal equipment of each enterprise, so that the terminal equipment of each enterprise establishes communication connection with the terminal equipment of the same-industry enterprises according to the communication information, and performs information interaction based on the established communication connection, so that the related information of each enterprise can be further processed, the same-industry enterprises of the enterprise can be accurately determined according to the production description information and the geographic position of the enterprises, the communication information of the same-industry enterprises can be pushed to the terminal equipment of the enterprise, so that the terminal equipment of the enterprise establishes communication connection with the terminal equipment of the same-industry enterprises, and performs information interaction based on the established communication connection, thereby establishing social circles among the same-industry enterprises, realizing timely information communication among the same-industry enterprises, enabling the enterprises to perform information interaction with the same-industry enterprises based on the social circles among the same-industry enterprises when encountering technical problems or emergencies which are difficult to solve, and solving problems or taking countermeasures under the assistance of the same-industry enterprises, thereby ensuring normal operation of the enterprise business.
Drawings
Fig. 1 is a flowchart of an enterprise information processing method according to an embodiment of the present invention.
Fig. 2 is a flowchart of an enterprise information processing method according to a second embodiment of the present invention.
Fig. 3 is a schematic structural diagram of an enterprise information processing device according to a third embodiment of the present invention.
Fig. 4 is a schematic structural diagram of a computer device according to a fourth embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof.
It should be further noted that, for convenience of description, only some, but not all of the matters related to the present invention are shown in the accompanying drawings. Before discussing exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart depicts operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently, or at the same time. Furthermore, the order of the operations may be rearranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figures. The processes may correspond to methods, functions, procedures, subroutines, and the like.
Example 1
Fig. 1 is a flowchart of an enterprise information processing method according to an embodiment of the present invention. The method can be applied to the situation that the social circle between the enterprises in the same industry is established according to the related information of the enterprises, and the information communication between the enterprises in the same industry is realized. Such as a server.
As shown in fig. 1, the method in the embodiment of the present invention specifically includes:
step 101, acquiring production description information and geographic positions of enterprises with set quantity.
Optionally, the set number may be set according to the service requirement. For example, the set number may be 500. The computer device obtains production description information and geographic locations of 500 businesses.
Optionally, the production description information is a statement for describing information related to the production of the enterprise, such as the production scale, order, product, and/or supply chain of the enterprise. The production scale of an enterprise is the amount of fixed investment that the enterprise has or occupies as a production unit, including the amount of land, labor, machinery, equipment, and the like. An order of an enterprise is a credential of the enterprise to conduct a product transaction with other enterprises or individuals. The product of the enterprise is a product produced by the enterprise. The supply chain of an enterprise is a network chain structure formed by the enterprises upstream and downstream of the enterprise's product supply to the end user's activities during the production and distribution of the enterprise's product.
Optionally, the production description information includes production scale description information, order description information, product description information, and/or supply chain description information. The production scale description information is a sentence for describing the production scale of an enterprise. The order description information is a sentence for describing an order of an enterprise. The product description information is a sentence for describing a product of an enterprise. The supply chain description information is a sentence for describing a supply chain of an enterprise.
Alternatively, the geographic location of the enterprise may be a registered address of the enterprise (refer to a registered address registered by the market supervision authority when the enterprise is ready to conduct an operation), or a latitude and longitude coordinate of an office address.
Optionally, the obtaining the production description information and the geographic location of the enterprises with the set number includes: and acquiring the production description information and the geographic position of the enterprises with the set quantity uploaded by the user. After acquiring the information acquisition rights of a set number of enterprises, a user acquires production description information and geographic positions of each enterprise in an offline mode and/or an online mode, and then uploads the production description information and the geographic positions of each enterprise to a computer device.
Optionally, the obtaining the production description information and the geographic location of the enterprises with the set number includes: after acquiring information acquisition rights of a set number of enterprises, the computer equipment sets a corresponding website crawler for each enterprise website of each enterprise; analyzing page elements of enterprise websites of enterprises through the web crawlers, extracting website data, and collecting production description information and geographic positions of the enterprises in the website data so as to obtain the production description information and geographic positions of the enterprises with set quantity.
Optionally, after obtaining the production description information and the geographic location of the set number of enterprises, the computer device determines the production description information and the geographic location of each enterprise as a basic portrait of each enterprise, and stores the basic portrait in an enterprise portrait database. The enterprise portrayal database is a preset database for storing basic portrayal of each enterprise. The basic portrait of the enterprise contains the production description information and the geographic position of the enterprise. According to the basic representation of the enterprise, the production scale, the order, the information related to the production condition of the enterprise such as the product and/or the supply chain and the geographic position of the enterprise can be rapidly determined.
And 102, calculating the association degree between enterprises according to the production description information and the geographic position, and determining the same-industry enterprises of the enterprises according to the association degree calculation result.
Optionally, the association degree between two enterprises is a numerical value calculated according to the production description information and the geographic position of the two enterprises and used for evaluating whether the two enterprises are enterprises in the same industry.
In general, geographic locations of two enterprises belonging to the same industry enterprise are relatively close, production scales of the two enterprises are similar, orders of the two enterprises are similar, the two enterprises can produce the same type of products, and upstream and downstream of a supply chain of the two enterprises are coincident. Therefore, the distance between the geographic positions of two enterprises belonging to the same industry enterprise is smaller, the similarity between the production scale description information of the two enterprises is higher, the similarity between the order description information of the two enterprises is higher, the similarity between the product description information of the two enterprises is higher, and the similarity between the supply chain description information of the two enterprises is higher.
Optionally, the calculating the association degree between the enterprises according to the production description information and the geographic location includes: calculating the distance between the geographic positions of the enterprises; calculating the similarity between the production scale description information of each enterprise; calculating the similarity between order description information of each enterprise; calculating the similarity between the product description information of each enterprise; calculating the similarity between the supply chain description information of each enterprise; calculating the association degree between enterprises according to the distance, the first preset weight corresponding to the distance, the similarity between the production scale description information, the second preset weight corresponding to the similarity between the production scale description information, the similarity between the order description information, the third preset weight corresponding to the similarity between the order description information, the similarity between the product description information, the fourth preset weight corresponding to the similarity between the product description information, the similarity between the supply chain description information and the fifth preset weight corresponding to the similarity between the supply chain description information.
Optionally, the geographic location of each enterprise is a latitude and longitude coordinate of the registration address of each enterprise. Calculating a distance between geographic locations of each of the enterprises comprises: for each business, the distance between the business' geographic location and the geographic locations of other businesses is calculated separately.
Alternatively, the production scale description information of each enterprise is a sentence for describing the production scale of each enterprise. Calculating the similarity between the production scale description information of each enterprise comprises the following steps: inputting the production scale description information of each enterprise into a preset sentence vector model to obtain sentence vectors corresponding to the production scale description information of each enterprise; and respectively calculating the similarity between sentence vectors corresponding to the production scale description information of the enterprises and sentence vectors corresponding to the production scale description information of other enterprises by using a preset similarity algorithm for each enterprise. The similarity between the sentence vectors corresponding to the production scale description information of the enterprise and the sentence vectors corresponding to the production scale description information of other enterprises is the similarity between the production scale description information of the enterprise and the production scale description information of other enterprises.
Optionally, the preset sentence vector model is a model for converting sentences into sentence vectors. The input of the preset sentence vector model is a sentence, and the output of the preset sentence vector model is a sentence vector corresponding to the sentence. The preset sentence vector model may be a doc2vec model, a word2vec model, or a recurrent neural network model, which are pre-constructed to convert sentences into sentence vectors.
Optionally, the preset similarity algorithm may be a euclidean distance algorithm or a cosine distance algorithm, which is not limited in the embodiments of the present invention.
Optionally, the order description information of each business is a sentence for describing an order of each business. Calculating the similarity between order description information of each enterprise comprises the following steps: inputting order description information of each enterprise into a preset sentence vector model to obtain sentence vectors corresponding to the order description information of each enterprise; and for each enterprise, respectively calculating the similarity between sentence vectors corresponding to the order description information of the enterprise and sentence vectors corresponding to the order description information of other enterprises by using a preset similarity algorithm. The similarity between the sentence vectors corresponding to the order description information of the enterprise and the sentence vectors corresponding to the order description information of other enterprises is the similarity between the order description information of the enterprise and the order description information of other enterprises.
Optionally, the product description information of each enterprise is a sentence for describing a product of each enterprise. Calculating the similarity between the product description information of each enterprise comprises the following steps: inputting the product description information of each enterprise into a preset sentence vector model to obtain sentence vectors corresponding to the product description information of each enterprise; and respectively calculating the similarity between sentence vectors corresponding to the product description information of each enterprise and sentence vectors corresponding to the product description information of other enterprises by using a preset similarity algorithm for each enterprise. The similarity between the sentence vectors corresponding to the product description information of the enterprise and the sentence vectors corresponding to the product description information of other enterprises is the similarity between the product description information of the enterprise and the product description information of other enterprises.
Optionally, the supply chain description information of each enterprise is a sentence for describing a supply chain of each enterprise. Calculating the similarity between the supply chain description information of each enterprise comprises the following steps: inputting the supply chain description information of each enterprise into a preset sentence vector model to obtain sentence vectors corresponding to the supply chain description information of each enterprise; and for each enterprise, respectively calculating the similarity between sentence vectors corresponding to the supply chain description information of the enterprise and sentence vectors corresponding to the supply chain description information of other enterprises by using a preset similarity algorithm. The similarity between the sentence vectors corresponding to the supply chain description information of the enterprise and the sentence vectors corresponding to the supply chain description information of other enterprises is the similarity between the supply chain description information of the enterprise and the supply chain description information of other enterprises.
Alternatively, the user may set a corresponding weight for the distance between the geographical locations, the similarity between the production scale descriptions, the similarity between the order descriptions, the similarity between the product descriptions, and the similarity between the supply chain descriptions, respectively. The higher the weight of the data, the higher the importance of the data to the degree of association between enterprises.
Optionally, calculating the association degree between enterprises according to the distance, the first preset weight corresponding to the distance, the similarity between the production scale descriptions, the second preset weight corresponding to the similarity between the production scale descriptions, the similarity between the order descriptions, the third preset weight corresponding to the similarity between the order descriptions, the similarity between the product descriptions, the fourth preset weight corresponding to the similarity between the product descriptions, the similarity between the supply chain descriptions, and the fifth preset weight corresponding to the similarity between the supply chain descriptions, including: and calculating the association degree between the enterprise A and the enterprise B according to the following calculation formula:
G AB ＝(-H AB )*F 1 +S AB1 *F 2 +S AB2 *F 3 +S AB3 *F 4 +S AB4 *F 5 ，
wherein G is AB For the association degree between the enterprise A and the enterprise B, H AB F is the distance between the geographic location of Enterprise A and the geographic location of Enterprise B 1 Is equal to H AB Corresponding first preset weight, namely weight preset by a user for distance between geographic positions, S AB1 F, for the similarity between the production scale description information of the enterprise A and the production scale description information of the enterprise B 2 Is S and AB1 corresponding second preset weight, namely weight preset by a user for similarity between production scale description information, S AB2 For the similarity between the order description information of the enterprise A and the order description information of the enterprise B, F 3 Is S and AB2 corresponding third preset weight, namely weight preset by a user for similarity between order description information, S AB3 For the similarity between the product description information of the enterprise A and the product description information of the enterprise B, F 4 Is S and AB3 corresponding fourth preset weight, namely weight preset by a user for similarity between product description information, S AB4 Supply chain description information for enterprise ASimilarity between supply chain descriptions of Enterprise B, F 5 Is S and AB4 the corresponding fifth preset weight, that is, the weight set in advance by the user for the similarity between the supply chain description information.
The smaller the distance between the geographic location of enterprise a and the geographic location of enterprise B, the greater the degree of association between enterprise a and enterprise B. The higher the similarity between the production scale description information of enterprise a and the production scale description information of enterprise B, the greater the association between enterprise a and enterprise B. The higher the similarity between the order description information of enterprise a and the order description information of enterprise B, the greater the association between enterprise a and enterprise B. The higher the similarity between the product description information of enterprise a and the product description information of enterprise B, the greater the association between enterprise a and enterprise B. The higher the similarity between the supply chain description information of enterprise a and the supply chain description information of enterprise B, the greater the association between enterprise a and enterprise B.
If the association degree between the enterprise A and the enterprise B is large, the geographical positions of the enterprise A and the enterprise B are close, the production scale is similar, the order is similar, the products of the same type are produced, and the upstream and the downstream of the supply chains are coincident, so that the enterprise A and the enterprise B are the enterprises in the same industry.
Optionally, the determining the business-in-the-industry enterprises of each enterprise according to the association degree calculation result includes: and determining a target enterprise with the association degree with each enterprise being larger than a preset association degree threshold value as the same-industry enterprise of the enterprise. The preset association threshold value can be set according to service requirements. The target enterprise is one or more enterprises with the association degree with the enterprise being larger than a preset association degree threshold. The association degree between the target enterprise and the enterprise is larger than a preset association degree threshold value, which indicates that the association degree between the target enterprise and the enterprise is larger, the geographic position of the target enterprise is close to the enterprise, the production scale of the target enterprise is similar to that of the enterprise, the order of the target enterprise is similar to that of the enterprise, the target enterprise and the enterprise produce the same type of products, and the supply chain of the target enterprise coincides with the upstream and downstream of the supply chain of the enterprise, so that the target enterprise and the enterprise are the same-industry enterprise.
Optionally, the determining the same-industry enterprises of each enterprise according to the association degree calculation result further includes: for each enterprise, if no target enterprise with the association degree with the enterprise being greater than a preset association degree threshold exists, sorting other enterprises except the enterprise according to the association degree with the enterprise from large to small; and acquiring other enterprises positioned at the first position of the ordering result as the same-industry enterprises of the enterprises. Therefore, when no target enterprise with the association degree larger than the preset association degree threshold exists, determining the enterprise with the largest association degree with the enterprise as the same-industry enterprise of the enterprise.
Optionally, after determining, for each enterprise, a target enterprise with a degree of association with the enterprise being greater than a preset degree of association threshold as a peer enterprise of the enterprise, the method further includes: and establishing an association relationship between the identification information of the enterprise and the identification information of the same-industry enterprise of the enterprise for each enterprise, determining the association relationship between the identification information of the enterprise and the identification information of the same-industry enterprise of the enterprise as an enterprise relationship portrait of the enterprise, and storing the enterprise relationship portrait in an enterprise portrait database. The enterprise relationship portrait of the enterprise comprises the identification information of the enterprise and the identification information of the enterprise in the same industry of the enterprise. The business relationship representation of the enterprise can be used for rapidly determining the business enterprises of the same industry.
Optionally, the identification information of the enterprise is information for uniquely identifying the enterprise. Each business corresponds to one piece of identification information. Different enterprises are distinguished according to different identification information.
And 103, sending the communication information of the same-industry enterprises of the enterprises to the terminal equipment of the enterprises, so that the terminal equipment of the enterprises establishes communication connection with the terminal equipment of the same-industry enterprises according to the communication information, and carrying out information interaction based on the established communication connection.
Optionally, the computer device establishes a communication connection with the terminal devices of each enterprise in advance, and may send information to the terminal devices of each enterprise, or receive information sent by the terminal devices of each enterprise.
Optionally, after obtaining the production description information and the geographic location of the set number of enterprises, the method further includes: acquiring communication information of each enterprise, and storing the communication information into a communication information database; and the communication information of each enterprise is used for establishing communication connection with the terminal equipment of each enterprise.
Optionally, the acquiring the communication information of each enterprise includes: and acquiring communication information of each enterprise uploaded by the user. After acquiring the information acquisition rights of the enterprises, the user acquires the communication information of the enterprises in an offline mode and/or an online mode, and then uploads the communication information of the enterprises to the computer equipment.
Alternatively, the communication information of each of the enterprises may be an internet protocol address (Internet Protocol Address, IP) of the terminal device of each of the enterprises. The terminal devices of the enterprises are terminal devices used by the enterprises for external and/or internal information communication. The terminal equipment of the enterprise can establish communication connection with other terminal equipment according to the IP addresses of the other terminal equipment.
Optionally, the sending the communication information of the same industry enterprises of each enterprise to the terminal devices of each enterprise, so that the terminal devices of each enterprise establish communication connection with the terminal devices of the same industry enterprises according to the communication information, and perform information interaction based on the established communication connection, includes: for each enterprise, the following operations are performed: acquiring communication information of the enterprises in the same industry from the communication information of each enterprise stored in the communication information database; and sending the communication information to the terminal equipment of the enterprise, so that the terminal equipment of the enterprise establishes communication connection with the terminal equipment of the enterprise in the same industry according to the communication information, and performs information interaction based on the established communication connection.
Optionally, the communication information database stores the identification information and the communication information of each enterprise correspondingly. The identification information of each enterprise corresponds to communication information of one enterprise. Acquiring the communication information of the business from the communication information of each business stored in the communication information database, wherein the communication information comprises the following steps: the computer equipment inquires target identification information which is the same as the identification information of the enterprise in the same industry of the enterprise in the identification information of each enterprise stored in the communication information database; and the computer equipment determines the communication information corresponding to the inquired target identification information as the communication information of the business enterprise in the same industry of the enterprise, and acquires the communication information of the business enterprise in the same industry of the enterprise.
Optionally, if the computer device does not query the target identification information which is the same as the identification information of the business in the same industry of the business, the communication information missing information corresponding to the business in the same industry of the business is provided for the user, so that the user uploads the communication information of the business in the same industry of the business. The communication information corresponding to the business enterprise of the enterprise is missing information, and is used for prompting a user that the computer equipment cannot acquire the communication information corresponding to the business enterprise of the enterprise, requesting the user to upload the communication information of the business enterprise of the enterprise in time, and facilitating the computer equipment to send the communication information of the business enterprise of the enterprise to the terminal equipment of the enterprise in time.
Optionally, the computer device sends the communication information of the same-industry enterprises of each enterprise to the terminal devices of each enterprise, instructs the terminal devices of each enterprise to establish communication connection with the terminal devices of the same-industry enterprises according to the communication information through the communication information of the same-industry enterprises of each enterprise, and performs information interaction based on the established communication connection.
Optionally, the communication information of the same-industry enterprises of each enterprise is an IP address of a terminal device of the same-industry enterprise of each enterprise. And the terminal equipment of each enterprise receives the IP address of the terminal equipment of the enterprise in the same industry, and establishes communication connection with the terminal equipment of the enterprise in the same industry according to the IP address of the terminal equipment of the enterprise in the same industry. The terminal equipment of each enterprise and the terminal equipment of the same-industry enterprise can perform information interaction based on the established communication connection, can send information to the terminal equipment of the same-industry enterprise or receive information sent by the terminal equipment of the same-industry enterprise, so that social circles among the same-industry enterprises in each enterprise are established, and timely information communication among the same-industry enterprises is realized, so that each enterprise can timely perform information interaction with the same-industry enterprises based on the social circles among the same-industry enterprises when encountering technical problems or emergencies which are difficult to solve, problems are solved or countermeasures are taken under the assistance of the same-industry enterprises, and normal operation of enterprise services of each enterprise is ensured.
The embodiment of the invention provides an enterprise information processing method, which comprises the steps of obtaining production description information and geographic positions of enterprises with set quantity; then calculating the association degree between enterprises according to the production description information and the geographic position, and determining the same-industry enterprises of the enterprises according to the association degree calculation result; and finally, the communication information of the same-industry enterprises of each enterprise is sent to the terminal equipment of each enterprise, so that the terminal equipment of each enterprise establishes communication connection with the terminal equipment of the same-industry enterprises according to the communication information, and performs information interaction based on the established communication connection, so that the related information of each enterprise can be further processed, the same-industry enterprises of the enterprise can be accurately determined according to the production description information and the geographic position of the enterprises, the communication information of the same-industry enterprises can be pushed to the terminal equipment of the enterprise, so that the terminal equipment of the enterprise establishes communication connection with the terminal equipment of the same-industry enterprises, and performs information interaction based on the established communication connection, thereby establishing social circles among the same-industry enterprises, realizing timely information communication among the same-industry enterprises, enabling the enterprises to perform information interaction with the same-industry enterprises based on the social circles among the same-industry enterprises when encountering technical problems or emergencies which are difficult to solve, and solving problems or taking countermeasures under the assistance of the same-industry enterprises, thereby ensuring normal operation of the enterprise business.
The embodiment of the invention can acquire and process the information related to the enterprise based on the artificial intelligence technology. Among these, artificial intelligence (Artificial Intelligence, AI) is the theory, method, technique and application system that uses a digital computer or a digital computer-controlled machine to simulate, extend and extend human intelligence, sense the environment, acquire knowledge and use knowledge to obtain optimal results.
Artificial intelligence infrastructure technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like.
Example two
Fig. 2 is a flowchart of an enterprise information processing method according to a second embodiment of the present invention. Embodiments of the invention may be combined with various alternatives to one or more of the embodiments described above. As shown in fig. 2, the method in the embodiment of the present invention specifically includes:
step 201, acquiring production description information and geographic positions of enterprises with set quantity.
Step 202, obtaining communication information of each enterprise, and storing the communication information into a communication information database.
And the communication information of each enterprise is used for establishing communication connection with the terminal equipment of each enterprise.
Optionally, the computer device establishes a communication connection with the terminal devices of each enterprise in advance, and may send information to the terminal devices of each enterprise, or receive information sent by the terminal devices of each enterprise.
Optionally, after obtaining the production description information and the geographic location of the set number of enterprises, the method further includes: acquiring communication information of each enterprise, and storing the communication information into a communication information database; and the communication information of each enterprise is used for establishing communication connection with the terminal equipment of each enterprise.
Optionally, the acquiring the communication information of each enterprise includes: and acquiring communication information of each enterprise uploaded by the user. After acquiring the information acquisition rights of the enterprises, the user acquires the communication information of the enterprises in an offline mode and/or an online mode, and then uploads the communication information of the enterprises to the computer equipment.
Optionally, the communication information of each enterprise may be an IP address of a terminal device of each enterprise. The terminal devices of the enterprises are terminal devices used by the enterprises for external and/or internal information communication. The terminal equipment of the enterprise can establish communication connection with other terminal equipment according to the IP addresses of the other terminal equipment.
And 203, calculating the association degree between enterprises according to the production description information and the geographic position, and determining the same-industry enterprises of the enterprises according to the association degree calculation result.
And 204, sending the communication information of the same-industry enterprises of the enterprises to the terminal equipment of the enterprises, so that the terminal equipment of the enterprises establishes communication connection with the terminal equipment of the same-industry enterprises according to the communication information, and carrying out information interaction based on the established communication connection.
Optionally, the sending the communication information of the same industry enterprises of each enterprise to the terminal devices of each enterprise, so that the terminal devices of each enterprise establish communication connection with the terminal devices of the same industry enterprises according to the communication information, and perform information interaction based on the established communication connection, includes: for each enterprise, the following operations are performed: acquiring communication information of the enterprises in the same industry from the communication information of each enterprise stored in the communication information database; and sending the communication information to the terminal equipment of the enterprise, so that the terminal equipment of the enterprise establishes communication connection with the terminal equipment of the enterprise in the same industry according to the communication information, and performs information interaction based on the established communication connection.
Optionally, the communication information database stores the identification information and the communication information of each enterprise correspondingly. The identification information of each enterprise corresponds to communication information of one enterprise. Acquiring the communication information of the business from the communication information of each business stored in the communication information database, wherein the communication information comprises the following steps: the computer equipment inquires target identification information which is the same as the identification information of the enterprise in the same industry of the enterprise in the identification information of each enterprise stored in the communication information database; and the computer equipment determines the communication information corresponding to the inquired target identification information as the communication information of the business enterprise in the same industry of the enterprise, and acquires the communication information of the business enterprise in the same industry of the enterprise.
Optionally, if the computer device does not query the target identification information which is the same as the identification information of the business in the same industry of the business, the communication information missing information corresponding to the business in the same industry of the business is provided for the user, so that the user uploads the communication information of the business in the same industry of the business. The communication information corresponding to the business enterprise of the enterprise is missing information, and is used for prompting a user that the computer equipment cannot acquire the communication information corresponding to the business enterprise of the enterprise, requesting the user to upload the communication information of the business enterprise of the enterprise in time, and facilitating the computer equipment to send the communication information of the business enterprise of the enterprise to the terminal equipment of the enterprise in time.
Optionally, the computer device sends the communication information of the same-industry enterprises of each enterprise to the terminal devices of each enterprise, instructs the terminal devices of each enterprise to establish communication connection with the terminal devices of the same-industry enterprises according to the communication information through the communication information of the same-industry enterprises of each enterprise, and performs information interaction based on the established communication connection.
Optionally, the communication information of the same-industry enterprises of each enterprise is an IP address of a terminal device of the same-industry enterprise of each enterprise. And the terminal equipment of each enterprise receives the IP address of the terminal equipment of the enterprise in the same industry, and establishes communication connection with the terminal equipment of the enterprise in the same industry according to the IP address of the terminal equipment of the enterprise in the same industry. The terminal equipment of each enterprise and the terminal equipment of the same-industry enterprise can perform information interaction based on the established communication connection, can send information to the terminal equipment of the same-industry enterprise or receive information sent by the terminal equipment of the same-industry enterprise, so that social circles among the same-industry enterprises in each enterprise are established, and timely information communication among the same-industry enterprises is realized, so that each enterprise can timely perform information interaction with the same-industry enterprises based on the social circles among the same-industry enterprises when encountering technical problems or emergencies which are difficult to solve, problems are solved or countermeasures are taken under the assistance of the same-industry enterprises, and normal operation of enterprise services of each enterprise is ensured.
The embodiment of the invention provides an enterprise information processing method, which can further process related information such as production description information, geographic position and communication information of each enterprise, can accurately determine the same-industry enterprise of the enterprise according to the production description information and the geographic position of the enterprise, can push the communication information of the same-industry enterprise to terminal equipment of the enterprise, so that the terminal equipment of the enterprise establishes communication connection with the terminal equipment of the same-industry enterprise, and performs information interaction based on the established communication connection, thereby establishing social circles among the same-industry enterprises, realizing timely information communication among the same-industry enterprises, enabling the enterprise to timely perform information interaction with the same-industry enterprise based on the social circles among the same-industry enterprises when encountering technical problems or unexpected events, and solving problems or taking countermeasures with the assistance of the same-industry enterprise, thereby ensuring normal operation of the enterprise business.
Example III
Fig. 3 is a schematic structural diagram of an enterprise information processing device according to a third embodiment of the present invention. As shown in fig. 3, the apparatus includes: the system comprises an enterprise information acquisition module 301, a peer enterprise determination module 302 and a communication information transmission module 303.
The enterprise information acquisition module 301 is configured to acquire production description information and geographic locations of a set number of enterprises; the business enterprise determining module 302 is configured to calculate a degree of association between the enterprises according to the production description information and the geographic location, and determine business enterprises of the enterprises according to a result of calculating the degree of association; the communication information sending module 303 is configured to send communication information of the same-industry enterprises of each enterprise to terminal devices of each enterprise, so that the terminal devices of each enterprise establish communication connection with the terminal devices of the same-industry enterprises according to the communication information, and perform information interaction based on the established communication connection.
The embodiment of the invention provides an enterprise information processing device which is used for acquiring production description information and geographic positions of enterprises with set quantity; then calculating the association degree between enterprises according to the production description information and the geographic position, and determining the same-industry enterprises of the enterprises according to the association degree calculation result; and finally, the communication information of the same-industry enterprises of each enterprise is sent to the terminal equipment of each enterprise, so that the terminal equipment of each enterprise establishes communication connection with the terminal equipment of the same-industry enterprises according to the communication information, and performs information interaction based on the established communication connection, so that the related information of each enterprise can be further processed, the same-industry enterprises of the enterprise can be accurately determined according to the production description information and the geographic position of the enterprises, the communication information of the same-industry enterprises can be pushed to the terminal equipment of the enterprise, so that the terminal equipment of the enterprise establishes communication connection with the terminal equipment of the same-industry enterprises, and performs information interaction based on the established communication connection, thereby establishing social circles among the same-industry enterprises, realizing timely information communication among the same-industry enterprises, enabling the enterprises to perform information interaction with the same-industry enterprises based on the social circles among the same-industry enterprises when encountering technical problems or emergencies which are difficult to solve, and solving problems or taking countermeasures under the assistance of the same-industry enterprises, thereby ensuring normal operation of the enterprise business.
In an optional implementation of the embodiment of the present invention, optionally, the production description information includes production scale description information, order description information, product description information, and/or supply chain description information.
In an optional implementation manner of the embodiment of the present invention, optionally, the peer industry enterprise determining module 302 is specifically configured to, when performing an operation of calculating a degree of association between enterprises according to the production description information and the geographic location: calculating the distance between the geographic positions of the enterprises; calculating the similarity between the production scale description information of each enterprise; calculating the similarity between order description information of each enterprise; calculating the similarity between the product description information of each enterprise; calculating the similarity between the supply chain description information of each enterprise; calculating the association degree between enterprises according to the distance, the first preset weight corresponding to the distance, the similarity between the production scale description information, the second preset weight corresponding to the similarity between the production scale description information, the similarity between the order description information, the third preset weight corresponding to the similarity between the order description information, the similarity between the product description information, the fourth preset weight corresponding to the similarity between the product description information, the similarity between the supply chain description information and the fifth preset weight corresponding to the similarity between the supply chain description information.
In an optional implementation manner of the embodiment of the present invention, optionally, when executing the operation of the peer enterprises of each enterprise according to the association degree calculation result, the peer enterprise determining module 302 is specifically configured to: and determining a target enterprise with the association degree with each enterprise being larger than a preset association degree threshold value as the same-industry enterprise of the enterprise.
In an optional implementation manner of the embodiment of the present invention, optionally, the enterprise information processing apparatus further includes: the communication information storage module is used for acquiring the communication information of each enterprise and storing the communication information into the communication information database; and the communication information of each enterprise is used for establishing communication connection with the terminal equipment of each enterprise.
In an optional implementation manner of the embodiment of the present invention, optionally, the communication information sending module 303 is specifically configured to: for each enterprise, the following operations are performed: acquiring communication information of the enterprises in the same industry from the communication information of each enterprise stored in the communication information database; and sending the communication information to the terminal equipment of the enterprise, so that the terminal equipment of the enterprise establishes communication connection with the terminal equipment of the enterprise in the same industry according to the communication information, and performs information interaction based on the established communication connection.
In an optional implementation manner of the embodiment of the present invention, optionally, the enterprise information acquisition module 301 is specifically configured to: and acquiring the production description information and the geographic position of the enterprises with the set quantity uploaded by the user.
The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.
The enterprise information processing device can execute the enterprise information processing method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of executing the enterprise information processing method.
Example IV
Fig. 4 is a schematic structural diagram of a computer device according to a fourth embodiment of the present invention. Fig. 4 illustrates a block diagram of an exemplary computer device 12 suitable for use in implementing embodiments of the present invention.
The computer device 12 shown in fig. 4 is merely an example and should not be construed as limiting the functionality and scope of use of embodiments of the present invention.
As shown in FIG. 4, the computer device 12 is in the form of a general purpose computing device. Components of computer device 12 may include, but are not limited to: one or more processors 16, a memory 28, and a bus 18 connecting the different business system components, including the memory 28 and the processors 16.
Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, and a local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include Industry Standard Architecture (ISA) bus, micro channel architecture (MAC) bus, enhanced ISA bus, video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Computer device 12 typically includes a variety of computer system readable media. Such media can be any available media that is accessible by computer device 12 and includes both volatile and nonvolatile media, removable and non-removable media.
Memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 30 and/or cache memory 32. The computer device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from or write to non-removable, nonvolatile magnetic media (not shown in FIG. 4, commonly referred to as a "hard disk drive"). Although not shown in fig. 4, a magnetic disk drive for reading from and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from or writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In such cases, each drive may be coupled to bus 18 through one or more data medium interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of embodiments of the invention.
A program/utility 40 having a set (at least one) of program modules 42 may be stored in, for example, memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment. Program modules 42 generally perform the functions and/or methods of the embodiments described herein.
The computer device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), one or more devices that enable a user to interact with the computer device 12, and/or any devices (e.g., network card, modem, etc.) that enable the computer device 12 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 22. Moreover, computer device 12 may also communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet, through network adapter 20. As shown, network adapter 20 communicates with other modules of computer device 12 via bus 18. It should be appreciated that although not shown in fig. 4, other hardware and/or software modules may be used in connection with computer device 12, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
The processor 16 executes programs stored in the memory 28 to perform various functional applications and data processing, thereby implementing the enterprise information processing method provided by the embodiment of the present invention: acquiring production description information and geographic positions of enterprises with set quantity; calculating the association degree between enterprises according to the production description information and the geographic position, and determining the same-industry enterprises of the enterprises according to the association degree calculation result; and sending the communication information of the same-industry enterprises of the enterprises to the terminal equipment of the enterprises, so that the terminal equipment of the enterprises establishes communication connection with the terminal equipment of the same-industry enterprises according to the communication information, and performs information interaction based on the established communication connection.
Example five
A fifth embodiment of the present invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the enterprise information processing method provided by the embodiments of the present invention: acquiring production description information and geographic positions of enterprises with set quantity; calculating the association degree between enterprises according to the production description information and the geographic position, and determining the same-industry enterprises of the enterprises according to the association degree calculation result; and sending the communication information of the same-industry enterprises of the enterprises to the terminal equipment of the enterprises, so that the terminal equipment of the enterprises establishes communication connection with the terminal equipment of the same-industry enterprises according to the communication information, and performs information interaction based on the established communication connection.
Any combination of one or more computer readable media may be employed. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations of the present invention may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.

Claims (9)

1. An enterprise information processing method, comprising:
acquiring production description information and geographic positions of enterprises with set quantity;
acquiring communication information of each enterprise, and storing the communication information into a communication information database;
calculating the association degree between enterprises according to the production description information and the geographic position, and determining the same-industry enterprises of the enterprises according to the association degree calculation result;
the communication information of the same-industry enterprises of each enterprise is sent to the terminal equipment of each enterprise, so that the terminal equipment of each enterprise establishes communication connection with the terminal equipment of the same-industry enterprise according to the communication information, and information interaction is carried out based on the established communication connection;
the terminal equipment of each enterprise is terminal equipment used by each enterprise for carrying out external and/or internal information communication; transmitting the communication information of the same-industry enterprises of each enterprise to the terminal equipment of each enterprise so that the terminal equipment of each enterprise establishes communication connection with the terminal equipment of the same-industry enterprise according to the communication information and performs information interaction based on the established communication connection, and the method comprises the following steps: for each enterprise, the following operations are performed: acquiring communication information of the enterprises in the same industry from the communication information of each enterprise stored in the communication information database; and sending the communication information to the terminal equipment of the enterprise, so that the terminal equipment of the enterprise establishes communication connection with the terminal equipment of the enterprise in the same industry according to the communication information, and performs information interaction based on the established communication connection.
2. The method of claim 1, wherein the production description information comprises production scale description information, order description information, product description information, and/or supply chain description information.
3. The method of claim 2, wherein said calculating a degree of association between each of said businesses based on said production description information and said geographic location comprises:
calculating the distance between the geographic positions of the enterprises;
calculating the similarity between the production scale description information of each enterprise;
calculating the similarity between order description information of each enterprise;
calculating the similarity between the product description information of each enterprise;
calculating the similarity between the supply chain description information of each enterprise;
calculating the association degree between enterprises according to the distance, the first preset weight corresponding to the distance, the similarity between the production scale description information, the second preset weight corresponding to the similarity between the production scale description information, the similarity between the order description information, the third preset weight corresponding to the similarity between the order description information, the similarity between the product description information, the fourth preset weight corresponding to the similarity between the product description information, the similarity between the supply chain description information and the fifth preset weight corresponding to the similarity between the supply chain description information.
4. The method of claim 1, wherein determining the business-of-business enterprise for each of the enterprises based on the correlation calculation results comprises:
and determining a target enterprise with the association degree with each enterprise being larger than a preset association degree threshold value as the same-industry enterprise of the enterprise.
5. The method of claim 1, wherein the communication information of each of the enterprises is used to establish a communication connection with a terminal device of each of the enterprises.
6. The method of claim 1, wherein the obtaining production description information and geographic locations of a set number of businesses comprises:
and acquiring the production description information and the geographic position of the enterprises with the set quantity uploaded by the user.
7. An enterprise information processing apparatus, comprising:
the enterprise information acquisition module is used for acquiring production description information and geographic positions of enterprises with set quantity;
the communication information storage module is used for acquiring the communication information of each enterprise and storing the communication information into the communication information database;
the business enterprise determining module is used for calculating the association degree between the enterprises according to the production description information and the geographic position, and determining the business enterprises of the enterprises according to the association degree calculation result;
The communication information sending module is used for sending the communication information of the same-industry enterprises of the enterprises to the terminal equipment of the enterprises so that the terminal equipment of the enterprises can establish communication connection with the terminal equipment of the same-industry enterprises according to the communication information and conduct information interaction based on the established communication connection;
the terminal equipment of each enterprise is terminal equipment used by each enterprise for carrying out external and/or internal information communication; the communication information sending module is specifically used for: for each enterprise, the following operations are performed: acquiring communication information of the enterprises in the same industry from the communication information of each enterprise stored in the communication information database; and sending the communication information to the terminal equipment of the enterprise, so that the terminal equipment of the enterprise establishes communication connection with the terminal equipment of the enterprise in the same industry according to the communication information, and performs information interaction based on the established communication connection.
8. A computer device, the computer device comprising:
one or more processors;
storage means for storing one or more computer programs;
The enterprise information processing method of any of claims 1-6, when the one or more computer programs are executed by the one or more processors, such that the one or more processors execute the computer programs.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the enterprise information processing method according to any one of claims 1-6.
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