Smart Park Enterprise User Portrait Analysis Method and Intelligent Management Platform

Abstract

The present invention provides a method for analyzing enterprise user portraits in a smart park and an intelligent management platform. Based on the enterprise user portraits, a corresponding digital twin model is constructed. The administrator can dynamically view the distribution information and attribute information of the enterprise users stationed in the park, and dynamically display each stationed enterprise in three dimensions through the park user portrait model, so that the model can be matched with the actual portrait information of the enterprise. The enterprise model is marked with the user portrait information of the enterprise, which allows the administrator to intuitively understand the attributes, location and scale of the enterprise stationed in the park from the three-dimensional model, which is convenient for the refined management of enterprise users and provides in-depth management services. The present invention does not require the park to dispatch management personnel to register the on-site information of the stationed enterprises, so as to understand the service nature, scale, location, etc. of each stationed enterprise, which can save management costs, allow administrators to accurately understand the information of the stationed enterprises, and create a good management foundation for attracting investment.

Description

Technical Field

[0001] The present invention relates to the technical field of smart user management, and in particular to a smart park enterprise user portrait analysis method, an intelligent management platform and electronic equipment. Background Art

[0002] User portrait refers to a user model built based on the user's basic information, behavioral habits, consumption preferences and other data. It helps companies better understand the target customer group and thus develop more effective marketing strategies.

[0003] And as attached Figure 1 The enterprise user portrait shown is the management method used by the park to analyze and manage enterprise users. Park managers can implement targeted management strategies based on enterprise user portraits. First, collect basic information about the enterprise, including industry type, scale, development stage, etc. Second, analyze the needs of the enterprise, such as office space, supporting facilities, policy support, etc. Then, based on the analysis results, provide customized services, such as providing a suitable office environment for the enterprise, building an industry exchange platform, and providing financial, tax and legal consulting. In addition, the park can establish a feedback mechanism to adjust the service content in a timely manner to ensure that management measures are synchronized with enterprise needs. Through these measures, the park can improve enterprise satisfaction and promote the growth and development of enterprises in the park.

[0004] However, the main purpose of the existing park's portrait analysis of corporate users is to obtain business intelligence from corporate user portraits, analyze the development prospects of park policies for investment promotion, and manage corporate users. For example, the invention patent with publication number CN113849737A discloses a portrait data processing method. The present invention uses the AI ​​platform to collect user portrait data, uses the AI ​​background to collect corporate portrait data, and collects visitor portrait data based on the visitor system. By using the AI ​​platform to profile users, it mines deep value and provides accurate services. Through the AI ​​background, the establishment of the park enterprise database is realized, and analysis is performed from various angles of corporate data to more accurately build industries and provide services to enterprises. By using big data algorithms, visitor information is comprehensively analyzed and studied from multiple angles to provide decision-making basis for park investment promotion. Although the invention uses AI for user portrait analysis and services, it cannot directly manage corporate users in depth based on user portraits, cannot observe changes in corporate users from a three-dimensional visualization perspective, and cannot intuitively and real-time obtain status information of changes in corporate user portraits.

[0005] Therefore, although the existing park management models are similar, they mainly rely on information on corporate user portraits to operate and manage the park, lacking the park's refined management and in-depth management services for corporate users. Especially in smart parks, managers need to provide better management services to corporate users on the basis of controlling management costs. Summary of the invention

[0006] In order to solve the technical problems existing in the prior art, the present invention provides the following technical solutions:

[0007] On the one hand, a method for analyzing user portraits of smart park enterprises is provided. The method is implemented based on an intelligent management platform and includes:

[0008] S1. Collect data reported by enterprise users;

[0009] S2. Performing data AI recognition on the enterprise user's declared data to extract user portrait information from the enterprise user's declared data;

[0010] S3. Generate a corresponding enterprise user portrait based on the user portrait information and save it to a portrait database;

[0011] S4. Based on the enterprise user portrait, construct a virtual user model corresponding to the enterprise user in the pre-constructed campus user portrait model, and mark the user portrait information on the virtual user model;

[0012] S5. Share the park user portrait model to the management end.

[0013] As a preferred embodiment of the present invention, preferably, the method further comprises:

[0014] Through the intelligent management platform, monitor whether the enterprise user's declared data has changed:

[0015] If yes, update the user portrait information, and update the corresponding enterprise user portrait, the virtual user model and its annotation information; at the same time, synchronously share the updated campus user portrait model to the management end;

[0016] Otherwise, continue monitoring.

[0017] As a preferred embodiment of the present invention, preferably, S1, collecting enterprise user declaration data, includes:

[0018] Enterprise users log in to the smart park's intelligent management platform through the enterprise terminal and apply for settlement;

[0019] The intelligent management platform issues a portrait data reporting instruction to the enterprise user, wherein the portrait data reporting instruction is configured with a corresponding enterprise user portrait format;

[0020] The enterprise user receives and responds to the portrait data reporting instruction through the enterprise terminal, and reports the enterprise user reporting data to the intelligent management platform according to the enterprise user portrait format;

[0021] The intelligent management platform records the enterprise user's declared data under the enterprise user's identity ID, and saves the enterprise user's declared data into a portrait database.

[0022] As a preferred implementation scheme of the present invention, preferably, S2, performing data AI recognition on the enterprise user declaration data, and extracting user portrait information from the enterprise user declaration data, includes:

[0023] Preprocess the data reported by the enterprise users, including data cleaning, image and text recognition, format conversion and entity labeling;

[0024] Use NLP technology to perform text AI analysis on the pre-processed enterprise user declaration data to extract entity text information related to the enterprise user;

[0025] Extracting user profile information required for declaration from the entity text information through pattern matching and machine learning algorithms;

[0026] The user portrait information is input into a portrait generation system.

[0027] As a preferred embodiment of the present invention, preferably, in step S4, the method for constructing the park user portrait model includes:

[0028] Through the intelligent management platform, the enterprise user declaration data of the enterprise user who has declared to settle in is read, and the basic information of the enterprise user who has declared to settle in is obtained, including: location, scale and enterprise logo;

[0029] Based on digital twin technology, build a digital twin model that matches the location and scale of the enterprise users that have applied for entry;

[0030] An enterprise logo is configured for each digital twin model of the park, a user portrait model of the park is generated, and the user portrait model of the park is saved in a model database.

[0031] As a preferred embodiment of the present invention, preferably, in step S4, the method for constructing the park user portrait model further includes:

[0032] Extract the model data of the user portrait model of each park in the park and construct a model data set P1;

[0033] Extracting the portraits of each enterprise user stored in the portrait database to construct a portrait data set P2;

[0034] According to the corresponding relationship between the enterprise user and the corresponding digital twin model, a data mapping relationship between the model data set P1 and the portrait data set P2 is established;

[0035] The data mapping relationship is saved in the portrait database.

[0036] As a preferred implementation scheme of the present invention, preferably, S4, based on the enterprise user portrait, constructing a virtual user model corresponding to the enterprise user in the pre-constructed campus user portrait model, and marking the user portrait information on the virtual user model, including:

[0037] Extracting the organizational structure in the enterprise user portrait;

[0038] In the pre-built campus user portrait model, the digital twin model of the enterprise user is adjusted in model structure so that its model structure matches the organizational structure of the enterprise user;

[0039] After the adjustment is completed, the virtual user model of the enterprise user is generated;

[0040] The user portrait information of the enterprise user is marked in the virtual user model of the enterprise user.

[0041] As a preferred embodiment of the present invention, preferably, the method further comprises:

[0042] After the enterprise user settles in the park, the model structure of the virtual user model of the enterprise user is optimized according to the three-dimensional image data of the enterprise user collected by the industrial camera;

[0043] The optimized virtual user model is saved.

[0044] On the other hand, an intelligent management platform is provided, which is used to implement the smart park enterprise user portrait analysis method, and the platform includes:

[0045] The enterprise management module is used to issue a portrait data reporting instruction to the enterprise user, record the enterprise user reporting data fed back by the enterprise user under the enterprise user's identity ID, and save the enterprise user reporting data to the portrait database;

[0046] A data AI recognition module is used to perform data AI recognition on the enterprise user declaration data and extract user portrait information from the enterprise user declaration data;

[0047] A portrait generation system, in which the user generates a corresponding enterprise user portrait based on the user portrait information and saves it to the portrait database;

[0048] Portrait database, used to store portrait data;

[0049] A digital twin system is used to pre-build a campus user portrait model based on digital twin technology; and, based on the enterprise user portrait, to build a virtual user model corresponding to the enterprise user in the pre-built campus user portrait model, and to mark the user portrait information on the virtual user model; and, to manage the campus user portrait model and share it to the management end;

[0050] The model database is used to store the model data files of the park user portrait model.

[0051] On the other hand, an electronic device is provided, comprising: a processor; and a memory, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, any one of the above-mentioned smart park enterprise user portrait analysis methods is implemented.

[0052] On the other hand, a computer-readable storage medium is provided, in which at least one instruction is stored. The at least one instruction is loaded and executed by a processor to implement any one of the above-mentioned smart park enterprise user portrait analysis methods.

[0053] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0054] The present invention extracts user portrait information from the enterprise user declaration data by performing data AI recognition on the enterprise user declaration data; generates corresponding enterprise user portraits based on the user portrait information and saves them to a portrait database; constructs a virtual user model of the corresponding enterprise user in a pre-constructed park user portrait model based on the enterprise user portrait, and marks the user portrait information on the virtual user model; and shares the park user portrait model to the management end. The corresponding digital twin model can be constructed based on the enterprise user portrait, so that the administrator of the smart park can dynamically view the distribution information and attribute information of the enterprise users stationed in the park, and dynamically display each stationed enterprise in three dimensions through the park user portrait model, and construct each enterprise model in the park based on the portrait information of the enterprise user portrait, so that the model can be matched with the actual portrait information of the enterprise, and the corresponding enterprise user portrait information is marked on the enterprise model, so that the administrator can intuitively understand the attributes, location and scale of the enterprises stationed in the park from the three-dimensional model, which is convenient for the refined management of enterprise users and provides in-depth management services.

[0055] Through the present invention, management costs can be saved. There is no need for the park to dispatch management personnel to conduct on-site information registration of settled enterprises. It is only necessary to view the three-dimensional model at the background or management end to understand the service nature, scale, location, etc. of each settled enterprise, so that the administrator can accurately understand the information of the settled enterprises, which is convenient for providing better management services to the settled enterprise users, improving the management technology and service technology level of the smart park, and creating a good management foundation for attracting investment. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0057] Figure 1 It is a schematic diagram of the existing enterprise user portrait;

[0058] Figure 2 This is a flow chart of a method for analyzing user portraits of smart park enterprises provided by an embodiment of the present invention;

[0059] Figure 3 This is a block diagram of an intelligent management platform provided by an embodiment of the present invention;

[0060] Figure 4 It is a schematic diagram of viewing annotation information on a background model of an enterprise user provided by an embodiment of the present invention;

[0061] Figure 5 It is a structural schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0062] The technical solution of the present invention is described below in conjunction with the accompanying drawings.

[0063] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "example" in the present invention should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of the word "example" is intended to present the concept in a specific way. In addition, in the embodiments of the present invention, the meaning expressed by "and / or" can be both, or it can be either of the two.

[0064] In the embodiments of the present invention, "image" and "picture" can sometimes be used interchangeably. It should be noted that when the difference between them is not emphasized, the meanings they intend to express are the same. "of", "corresponding, relevant" and "corresponding" can sometimes be used interchangeably. It should be noted that when the difference between them is not emphasized, the meanings they intend to express are the same.

[0065] In the embodiments of the present invention, sometimes a subscript such as W1 may be mistakenly written as a non-subscript such as W1. When the difference is not emphasized, the meanings to be expressed are consistent.

[0066] In order to make the technical problems, technical solutions and advantages to be solved by the present invention more clear, a detailed description will be given below with reference to the accompanying drawings and specific embodiments.

[0067] The embodiment of the present invention provides a method for analyzing user portraits of smart park enterprises, which can be implemented by an electronic device, which can be a terminal or a server. Figure 2 The flowchart of the method for analyzing the user portrait of a smart park enterprise is shown. The processing flow of the method may include the following steps:

[0068] S1. Collect data reported by enterprise users;

[0069] S2. Performing data AI recognition on the enterprise user's declared data to extract user portrait information from the enterprise user's declared data;

[0070] S3. Generate a corresponding enterprise user portrait based on the user portrait information and save it to a portrait database; S4. Based on the enterprise user portrait, construct a virtual user model of the corresponding enterprise user in a pre-constructed campus user portrait model, and mark the user portrait information on the virtual user model;

[0071] S5. Share the park user portrait model to the management end.

[0072] In the present invention, the smart park has its own intelligent management platform. The administrator can log in to the intelligent management platform through the management terminal to manage the various enterprise users in the park online. Through the park user portrait model constructed on the platform, the distribution, scale and other enterprise attributes of each enterprise user in the park can be understood.

[0073] Therefore, the present invention combines enterprise user portraits with digital modeling, builds a three-dimensional portrait model generated based on user portrait information on the intelligent management platform, and uses the three-dimensional model to display the location, scale and other information of each enterprise user settled in the park, so that the administrator can manage each settled enterprise through the background or management end, and use the annotation information displayed on the portrait model to manage the enterprises settled in the park in an orderly manner and gain in-depth online understanding. It is convenient to manage enterprises, implement and regulate park policies. Carry out portrait analysis on settled enterprises, further explore corresponding high-quality customers, and deeply understand the attributes of settled enterprises, so as to facilitate the regulation of park policies and provide refined service management.

[0074] Therefore, the present invention constructs a corresponding digital twin model based on the enterprise user portrait, so that the administrator of the smart park can dynamically view the distribution information and attribute information of the enterprise users settled in the park, and dynamically display each settled enterprise in three dimensions through the park user portrait model. According to the portrait information of the enterprise user portrait, the model of each enterprise in the park is constructed, which can match the model with the actual portrait information of the enterprise. At the same time, the corresponding enterprise user portrait information is marked on the enterprise model, which can enable the administrator to intuitively understand the attributes, location and scale of the enterprises settled in the park from the three-dimensional model, which is convenient for the refined management of enterprise users and the provision of in-depth management services.

[0075] like Figure 3 The figure shows the functional structure diagram of the platform of the present invention.

[0076] The enterprise management module is mainly responsible for the declaration management of settled enterprises and the collection of declaration data of declared enterprises, and the storage of enterprise user declaration data in the portrait database.

[0077] The data AI recognition module mainly uses AI technology, such as text AI recognition, and NLP technology to perform text AI analysis on the enterprise user declaration data to extract entity text information related to the enterprise user. Through intelligent text recognition, relevant information about the enterprise user portrait is extracted from it, making it easier for the portrait generation system to generate enterprise user portraits based on the extracted user portrait information.

[0078] The digital twin system mainly provides digital twin technology, builds digital twin models of corresponding enterprise users, facilitates the creation of a three-dimensional park model, and builds an enterprise user model on the park model. According to the location, scale and identity of the enterprise users shown in the enterprise user portrait, a user model corresponding to the enterprise user portrait is constructed on the park model to form a three-dimensional park user portrait model. Through the three-dimensional park model, the distribution location, scale and enterprise identity of each enterprise user are displayed in three dimensions, so the administrator can view the distribution, scale and attributes of each enterprise user of the settled enterprise through the three-dimensional model, as well as the relevant model structure of its enterprise user portrait. At the same time, through the annotation information on the model, the administrator can understand the user portrait information of the corresponding enterprise user, which is convenient for in-depth understanding of the settled enterprise and analysis of the park policy through the park model without the need for door-to-door visits.

[0079] As a preferred embodiment of the present invention, preferably, the method further comprises:

[0080] Through the intelligent management platform, monitor whether the enterprise user's declared data has changed:

[0081] If yes, update the user portrait information, and update the corresponding enterprise user portrait, the virtual user model and its annotation information; at the same time, synchronously share the updated campus user portrait model to the management end;

[0082] Otherwise, continue monitoring.

[0083] After the settled enterprise logs in to the intelligent management platform through PC or enterprise APP to complete the relevant settlement procedures, if the enterprise's declaration data changes in the future, or the enterprise's user portrait information changes, for example, its organizational structure or attributes, business scope and other information have changed, the administrator needs to be informed in a timely manner.

[0084] The enterprise management module in the intelligent management platform monitors the data declared by the settled enterprises (the monitoring program for the declared data is an event monitoring applet, which is used to monitor the change declaration applications of the settled enterprises). When it is found that the declared data of an enterprise has changed, its user portrait information is updated according to the changed and updated declared data. According to the updated user portrait information, the virtual user model of the enterprise in the three-dimensional model of the park is updated through the digital twin system. According to the location, scale, architecture and other information shown by the user portrait, the virtual user model of the enterprise user on the three-dimensional park model is adjusted synchronously, and the annotation information configured on the model is updated at the same time, so that the park can update and manage the portrait information of each enterprise user in real time.

[0085] As a preferred embodiment of the present invention, preferably, S1, collecting enterprise user declaration data, includes:

[0086] Enterprise users log in to the smart park's intelligent management platform through the enterprise terminal and apply for settlement;

[0087] The intelligent management platform issues a portrait data reporting instruction to the enterprise user, wherein the portrait data reporting instruction is configured with a corresponding enterprise user portrait format;

[0088] The enterprise user receives and responds to the portrait data reporting instruction through the enterprise terminal, and reports the enterprise user reporting data to the intelligent management platform according to the enterprise user portrait format;

[0089] The intelligent management platform records the enterprise user's declared data under the enterprise user's identity ID, and saves the enterprise user's declared data into a portrait database.

[0090] The enterprise user portrait format is issued by the administrator in a unified format. A portrait template corresponding to the enterprise user portrait format can be generated and issued simultaneously to collect enterprise user information.

[0091] Enterprise users receive portrait templates through the enterprise end, fill in data, and upload them.

[0092] As a preferred implementation scheme of the present invention, preferably, S2, performing data AI recognition on the enterprise user declaration data, and extracting user portrait information from the enterprise user declaration data, includes:

[0093] Preprocess the data reported by the enterprise users, including data cleaning, image and text recognition, format conversion and entity labeling;

[0094] Use NLP technology to perform text AI analysis on the pre-processed enterprise user declaration data to extract entity text information related to the enterprise user;

[0095] Extracting user profile information required for declaration from the entity text information through pattern matching and machine learning algorithms;

[0096] The user portrait information is input into a portrait generation system.

[0097] Natural language processing (NLP) technology is a branch of artificial intelligence that enables computers to understand, interpret, and generate human language. This technology is widely used in many fields such as speech recognition, machine translation, sentiment analysis, text summarization, question-answering systems, etc. Through NLP technology, computers can process large amounts of natural language data, thereby assisting humans in making decisions, improving work efficiency, and providing intelligent services in various scenarios.

[0098] The present invention uses NLP technology to perform text AI analysis on the enterprise user's declared data and extracts the entity text information related to the enterprise user:

[0099] 1. Data collection: First, collect the declaration data text submitted by corporate users to ensure the completeness and accuracy of the data.

[0100] 2. Text preprocessing: Clean the collected text data, including removing irrelevant characters, punctuation marks, unifying the text format, etc., in preparation for subsequent analysis.

[0101] 3. Entity recognition: Use the named entity recognition (NER) method in NLP technology to identify entity information related to corporate users from the text, such as company name, address, product name, industry category, etc.

[0102] 4. Relationship extraction: Analyze the relationship between entities in the text, such as the attribution relationship between enterprises and products, the classification relationship between enterprises and industries, etc.

[0103] 5. Information extraction: Extract the identified entities and relationships in a structured manner to form queryable and analyzable data.

[0104] 6. Data Verification: Verify the extracted information to ensure its accuracy and reliability.

[0105] 7. Application of results: The extracted entity information is used for business scenarios such as enterprise user profile analysis, report generation, and decision support.

[0106] Through pattern matching and machine learning algorithms, the user portrait information required for declaration is extracted from the entity text information: decision trees or classification algorithms can be used to extract entity text information. For example, after using natural language processing technology to extract key information from the text, entity recognition (NER) is used to identify specific company names, addresses, organizational structures, and other entity text information related to user portrait information in the text. According to the predefined user portrait elements, design corresponding pattern matching rules, such as regular expressions, keyword lists, etc., to identify and extract relevant information. If a machine learning algorithm is used: machine learning models, such as classifiers, clustering algorithms, etc., can be trained to automatically identify and classify user portrait information in the text. Integrate the extracted information into structured user portrait data to facilitate subsequent portrait generation work.

[0107] Through the above steps, user portrait information that meets the reporting requirements can be effectively extracted and constructed from a large amount of text information.

[0108] As a preferred embodiment of the present invention, preferably, in step S4, the method for constructing the park user portrait model includes:

[0109] Through the intelligent management platform, the enterprise user declaration data of the enterprise user who has declared to settle in is read, and the basic information of the enterprise user who has declared to settle in is obtained, including: location, scale and enterprise logo;

[0110] Based on digital twin technology, build a digital twin model that matches the location and scale of the enterprise users that have applied for entry;

[0111] An enterprise logo is configured for each digital twin model of the park, a user portrait model of the park is generated, and the user portrait model of the park is saved in a model database.

[0112] Digital twin technology is a technology that simulates, analyzes and predicts the behavior of physical entities in the real world by creating virtual copies of physical entities, namely digital twins. It uses technologies such as the Internet of Things (IoT), big data, artificial intelligence (AI) and machine learning to achieve real-time monitoring, diagnosis, prediction and optimization of entities. Digital twin technology is widely used in manufacturing, medical care, urban planning, aerospace and other fields, and can help companies improve efficiency, reduce costs, optimize product design and improve service quality.

[0113] The present invention utilizes the digital twin system to construct a three-dimensional virtual model of the enterprises in the smart park (three-dimensional model of the park), so that administrators can intuitively understand the distribution, scale and identification of each enterprise from the three-dimensional model of the park.

[0114] The steps to build a digital twin model include:

[0115] 1. First, the goal and scope of the model need to be defined: clarify the purpose of the digital twin model and determine the scope of entities or systems that need to be simulated. This invention requires the construction of a three-dimensional park model that matches the physical park, which intuitively displays the distribution information, scale and identification of the settled enterprises.

[0116] 2. Data collection: Collect relevant data of entities or systems, including static data (basic information of corporate users who have declared settlement) and dynamic data (such as organizational structure, warehouse distribution, distribution of park subsidiaries, etc.).

[0117] 3. Data processing: Clean, integrate and process the collected data to ensure data quality.

[0118] 4. Create a physical model: Establish an accurate mathematical model or physical model based on the physical properties of the entity or system.

[0119] 5. Digital model development: Use computer-aided design (CAD) and computer-aided engineering (CAE) tools to create geometric models and simulation models of digital twins.

[0120] like Figure 4 As shown in the figure, combined with digital twin technology, a park user portrait model can be constructed, from which the basic situation of each settled enterprise can be initially and intuitively understood. The model can also display the annotation information of settled enterprises, allowing administrators to analyze the introduction of enterprises in the park based on the enterprise distribution and annotation information, and judge the implementation of park policies and development prospects.

[0121] As a preferred embodiment of the present invention, preferably, in step S4, the method for constructing the park user portrait model further includes:

[0122] Extract the model data of the user portrait model of each park in the park and construct a model data set P1;

[0123] Extracting the portraits of each enterprise user stored in the portrait database to construct a portrait data set P2;

[0124] According to the corresponding relationship between the enterprise user and the corresponding digital twin model, a data mapping relationship between the model data set P1 and the portrait data set P2 is established;

[0125] The data mapping relationship is saved in the portrait database.

[0126] Because the user portrait model, because its model architecture is constructed according to the user portraits of enterprises in the park, there is a corresponding data mapping relationship between the model data of the model and the enterprise user portraits of the corresponding enterprises.

[0127] Therefore, when the enterprise user portrait changes, the model data in the park's 3D model needs to be updated in a timely manner, so that the changed enterprise user portrait can be dynamically mapped with the model data on the model and the model structure can be updated. Based on the data mapping relationship between the previous enterprise user portrait model and its enterprise user portrait, the updated model data can be mapped and updated (corresponding update of the data set) to facilitate the park's dynamic management of the model.

[0128] After determining the data mapping relationship, process the new data set to ensure that its format is compatible with the original data set. Then, use programming languages ​​or data processing tools to write update logic based on the mapping relationship to map the information in the new data set to the corresponding fields of the original data set. This will achieve data update.

[0129] The specific update process can refer to the above-mentioned portrait generation and the process of building the corresponding campus user portrait model based on the portrait, which will not be repeated here.

[0130] As a preferred implementation scheme of the present invention, preferably, S4, based on the enterprise user portrait, constructing a virtual user model corresponding to the enterprise user in the pre-constructed campus user portrait model, and marking the user portrait information on the virtual user model, including:

[0131] Extracting the organizational structure in the enterprise user portrait;

[0132] In the pre-built campus user portrait model, the digital twin model of the enterprise user is adjusted in model structure so that its model structure matches the organizational structure of the enterprise user;

[0133] After the adjustment is completed, the virtual user model of the enterprise user is generated;

[0134] The user portrait information of the enterprise user is marked in the virtual user model of the enterprise user.

[0135] Because the user model corresponding to the distribution location and scale has been constructed on the park's three-dimensional model in the early stage based on the enterprise distribution location, scale and other information in the enterprise portrait information of the settled enterprises. Therefore, after the organizational structure in the enterprise user portrait is extracted later, the three-dimensional model can be further refined and adjusted.

[0136] By adjusting the structural parameters of the model structure to match the structural parameters of the organizational structure of the enterprise user, the enterprise virtual model on the three-dimensional model is adjusted synchronously to obtain the virtual user model of the enterprise user. At the same time, the user portrait information of the enterprise is marked on the corresponding virtual user model, so that the administrator can view the enterprise portrait information from the displayed enterprise user model later.

[0137] This time, we first build the park model, and then adjust the model structure parameters of the corresponding virtual user model in combination with the structural parameters reflected by the enterprise's organizational structure (for example, the enterprise has subsidiaries or multiple branches), so that the virtual user model in the 3D model matches the organizational structure of the enterprise user. This is mainly aimed at the situation where the enterprise has subsidiaries or branches that are simultaneously settled in the park, and the model can be adjusted according to its organizational structure.

[0138] As a preferred embodiment of the present invention, preferably, the method further comprises:

[0139] After the enterprise user settles in the park, the model structure of the virtual user model of the enterprise user is optimized according to the three-dimensional image data of the enterprise user collected by the industrial camera;

[0140] The optimized virtual user model is saved.

[0141] When doing 3D modeling, you can use the 3D image data collected by the industrial camera to perform 3D modeling of the corresponding entity. In this solution, you can use the various industrial cameras deployed in the park to collect 3D data of the appearance of the settled enterprises, and use these 3D data to adjust the model structure of the constructed model when modeling, such as optimizing the appearance structure of the model, or the size parameters of the model, or the model proportions, etc. Use 3D data to optimize the structure of the model, so that the displayed 3D model is more in line with the appearance and proportions of the settled enterprises, and the virtual model and the physical model are more matched.

[0142] As attached Figure 3 As shown, on the other hand, an intelligent management platform is provided, and the intelligent management platform is used to implement the above-mentioned smart park enterprise user portrait analysis method, and the platform includes:

[0143] The enterprise management module is used to issue a portrait data reporting instruction to the enterprise user, record the enterprise user reporting data fed back by the enterprise user under the enterprise user's identity ID, and save the enterprise user reporting data to the portrait database;

[0144] A data AI recognition module, used to perform data AI recognition on the enterprise user declaration data and extract user portrait information from the enterprise user declaration data;

[0145] A portrait generation system, in which the user generates a corresponding enterprise user portrait based on the user portrait information and saves it to the portrait database;

[0146] Portrait database, used to store portrait data;

[0147] A digital twin system is used to pre-build a campus user portrait model based on digital twin technology; and, based on the enterprise user portrait, to build a virtual user model corresponding to the enterprise user in the pre-built campus user portrait model, and to mark the user portrait information on the virtual user model; and, to manage the campus user portrait model and share it to the management end;

[0148] The model database is used to store the model data files of the park user portrait model.

[0149] Please understand the functional structure and application of the intelligent management platform in conjunction with the above-mentioned smart park enterprise user portrait analysis method.

[0150] Figure 5 is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention, such as Figure 5 As shown, the electronic device may include the above Figure 3Optionally, the electronic device 410 may include a first processor 2001 .

[0151] Optionally, the electronic device 410 may further include a memory 2002 and a transceiver 2003 .

[0152] The first processor 2001, the memory 2002 and the transceiver 2003 may be connected via a communication bus.

[0153] Combine the following Figure 5 The components of the electronic device 410 are described in detail:

[0154] The first processor 2001 is the control center of the electronic device 410, and may be a processor or a general term for multiple processing elements. For example, the first processor 2001 is one or more central processing units (CPUs), or may be application specific integrated circuits (ASICs), or may be one or more integrated circuits configured to implement the embodiments of the present invention, such as one or more microprocessors (digital signal processors, DSPs), or one or more field programmable gate arrays (field programmable gate arrays, FPGAs).

[0155] Optionally, the first processor 2001 can execute various functions of the electronic device 410 by running or executing a software program stored in the memory 2002 and calling data stored in the memory 2002 .

[0156] In a specific implementation, as an embodiment, the first processor 2001 may include one or more CPUs, such as Figure 5 CPU0 and CPU1 are shown in FIG.

[0157] In a specific implementation, as an embodiment, the electronic device 410 may also include multiple processors, such as Figure 5 The first processor 2001 and the second processor 2004 are shown in FIG. Each of these processors may be a single-core processor (single-CPU) or a multi-core processor (multi-CPU). The processor here may refer to one or more devices, circuits, and / or processing cores for processing data (e.g., computer program instructions).

[0158] The memory 2002 is used to store the software program for executing the solution of the present invention, and is controlled to be executed by the first processor 2001. The specific implementation method can refer to the above method embodiment, which will not be repeated here.

[0159] Optionally, the memory 2002 may be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical disc, laser disc, optical disc, digital versatile disc, Blu-ray disc, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto. The memory 2002 may be integrated with the first processor 2001, or may exist independently and access the first processor 2001 through the interface circuit ( Figure 5 (not shown) is coupled to the first processor 2001, which is not specifically limited in this embodiment of the present invention.

[0160] The transceiver 2003 is used to communicate with a network device or a terminal device.

[0161] Optionally, the transceiver 2003 may include a receiver and a transmitter ( Figure 5 The receiver is used to implement a receiving function, and the transmitter is used to implement a sending function.

[0162] Optionally, the transceiver 2003 may be integrated with the first processor 2001, or may exist independently and communicate with the first processor 2001 through the interface circuit ( Figure 5 (not shown) is coupled to the first processor 2001, which is not specifically limited in this embodiment of the present invention.

[0163] It should be noted that Figure 5 The structure of the electronic device 410 shown in the figure does not constitute a limitation on the router, and the actual knowledge structure recognition device may include more or fewer components than those shown in the figure, or combine certain components, or arrange the components differently.

[0164] In addition, the technical effects of the electronic device 410 can refer to the technical effects of the smart park enterprise user portrait analysis method described in the above method embodiment, and will not be repeated here.

[0165] It should be understood that the first processor 2001 in the embodiment of the present invention may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0166] It should also be understood that the memory in the embodiments of the present invention may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic random access memory (DRAM), synchronous DRAM (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link DRAM (SLDRAM), and direct rambus RAM (DR RAM).

[0167] The above embodiments can be implemented in whole or in part by software, hardware (such as circuits), firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable platform. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired (such as infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0168] It should be understood that the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship, but it may also indicate an "and / or" relationship. Please refer to the context for specific understanding.

[0169] In the present invention, "at least one" means one or more, and "plurality" means two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b, or c can mean: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or multiple.

[0170] It should be understood that in various embodiments of the present invention, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0171] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0172] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described devices, platforms and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0173] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, platforms and methods can be implemented in other ways. For example, the platform embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of the platform or unit, which can be electrical, mechanical or other forms.

[0174] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0175] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0176] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, and other media that can store program codes.

[0177] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for analyzing user portraits of smart park enterprises, characterized in that: Implemented based on the intelligent management platform, the method includes: S1. Collect data reported by enterprise users; S2. Performing data AI recognition on the enterprise user declaration data to extract user portrait information from the enterprise user declaration data; S3. Generate a corresponding enterprise user portrait based on the user portrait information and save it to a portrait database; S4. Based on the enterprise user portrait, construct a virtual user model corresponding to the enterprise user in the pre-constructed campus user portrait model, and mark the user portrait information on the virtual user model, including: Extracting the organizational structure in the enterprise user portrait; In the pre-built campus user portrait model, the digital twin model of the enterprise user is adjusted to match the organizational structure of the enterprise user; After the adjustment is completed, the virtual user model of the enterprise user is generated; Marking the user portrait information of the enterprise user on the virtual user model of the enterprise user; The method for constructing the park user portrait model includes: Through the intelligent management platform, the enterprise user declaration data of the enterprise user who has declared to settle in is read, and the basic information of the enterprise user who has declared to settle in is obtained, including: location, scale and enterprise logo; Based on digital twin technology, build a digital twin model that matches the location and scale of the enterprise users that have applied for entry; Configuring an enterprise identity for each digital twin model of the park, generating a user portrait model of the park, and saving the user portrait model of the park into a model database; Extract the model data of the user portrait model of each park in the park and construct a model data set P1; Extracting the portraits of each enterprise user stored in the portrait database to construct a portrait data set P2; According to the corresponding relationship between the enterprise user and the corresponding digital twin model, a data mapping relationship between the model data set P1 and the portrait data set P2 is established; Saving the data mapping relationship to the portrait database; S5. Share the park user portrait model to the management end; The method further comprises: Through the intelligent management platform, monitor whether the enterprise user's declared data has changed: If so, update the user portrait information, and update the corresponding enterprise user portrait, the virtual user model and its annotation information; at the same time, synchronously share the updated park user portrait model to the management end; Otherwise, continue monitoring.

2. The method for analyzing user portraits of smart park enterprises according to claim 1 is characterized in that: S1. Collect data reported by enterprise users, including: Enterprise users log in to the smart park's intelligent management platform through the enterprise terminal and apply for settlement; The intelligent management platform issues a portrait data reporting instruction to the enterprise user, wherein the portrait data reporting instruction is configured with a corresponding enterprise user portrait format; The enterprise user receives and responds to the portrait data reporting instruction through the enterprise terminal, and reports the enterprise user reporting data to the intelligent management platform according to the enterprise user portrait format; The intelligent management platform records the enterprise user's declared data under the enterprise user's identity ID, and saves the enterprise user's declared data into a portrait database.

3. The method for analyzing user portraits of smart park enterprises according to claim 1 is characterized in that: S2. Performing data AI recognition on the enterprise user declaration data to extract user portrait information from the enterprise user declaration data, including: Preprocess the data reported by the enterprise users, including data cleaning, image and text recognition, format conversion and entity labeling; Use NLP technology to perform text AI analysis on the pre-processed enterprise user declaration data to extract entity text information related to the enterprise user; Extracting user profile information required for declaration from the entity text information through pattern matching and machine learning algorithms; The user portrait information is input into a portrait generation system.

4. The method for analyzing user portraits of smart park enterprises according to claim 1 is characterized in that: The method further comprises: After the enterprise user settles in the park, the model structure of the virtual user model of the enterprise user is optimized according to the three-dimensional image data of the enterprise user collected by the industrial camera; The optimized virtual user model is saved.

5. An intelligent management platform, which is used to implement the smart park enterprise user portrait analysis method as described in any one of claims 1 to 4, characterized in that: The platform includes: The enterprise management module is used to issue a portrait data reporting instruction to the enterprise user, record the enterprise user reporting data fed back by the enterprise user under the enterprise user's identity ID, and save the enterprise user reporting data to the portrait database; A data AI recognition module, used to perform data AI recognition on the enterprise user declaration data and extract user portrait information from the enterprise user declaration data; A portrait generation system, in which the user generates a corresponding enterprise user portrait based on the user portrait information and saves it to the portrait database; Portrait database, used to store portrait data; A digital twin system is used to pre-build a campus user portrait model based on digital twin technology; and, based on the enterprise user portrait, to build a virtual user model corresponding to the enterprise user in the pre-built campus user portrait model, and to mark the user portrait information on the virtual user model; and, to manage the campus user portrait model and share it to the management end; The model database is used to store the model data files of the park user portrait model.

6. An electronic device, characterized in that: The electronic device comprises: processor; A memory having computer-readable instructions stored thereon, wherein when the computer-readable instructions are executed by the processor, the method according to any one of claims 1 to 4 is implemented.

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