A multi-dimensional information acquisition and processing method and device for an intelligent badge

Abstract

The present disclosure relates to a multi-dimensional information collection processing method and device of an intelligent badge, and relates to the technical field of data processing; through issuing the intelligent badge to an employee, the employee can enter multi-dimensional employee information based on a first badge identifier of the intelligent badge, process based on the multi-dimensional employee information, add a second badge identifier on the intelligent badge based on the processed information, and bind the processed information with the second badge identifier, and the processed information corresponding to the second badge identifier can be viewed through the second badge identifier. Through the intelligent badge, the management of employee information is not limited to the form of the badge, and the dimension of information management is expanded; through the binding of the intelligent badge and the employee information, the employee information can be easily viewed. Therefore, the technical scheme expands the dimension of employee information through the intelligent badge, improves the convenience of viewing employee information, and further improves the management effect of the employee badge information.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to data processing technology, in particular to a multi-dimensional information collection and processing method and device of an intelligent badge. BACKGROUND

[0002] With the development of enterprise management technology, the management technology of employee information has also developed. In the management of employee information, the management of personnel badges is involved. At present, the management of personnel badges usually adopts the management form of physical personnel badges. The physical personnel badges are limited in form and cannot process multi-dimensional information, resulting in poor management effect of personnel badge information. SUMMARY

[0003] The purpose of the present disclosure is to provide a multi-dimensional information collection and processing method and device of an intelligent badge, which can improve the management effect of personnel badge information.

[0004] In order to achieve the above purpose, in a first aspect, the present disclosure provides a multi-dimensional information collection and processing method of an intelligent badge, comprising: issuing an intelligent badge to an employee, the intelligent badge comprising employee information of an identity information dimension and a first badge identifier; receiving employee information corresponding to a plurality of dimensions input by the employee through the first badge identifier; processing the employee information corresponding to the plurality of dimensions to obtain processed employee information corresponding to the plurality of dimensions; adding a second badge identifier to the intelligent badge according to the processed employee information corresponding to the plurality of dimensions, and binding the processed employee information corresponding to the plurality of dimensions with the second badge identifier, the second badge identifier being used to view the processed employee information corresponding to the plurality of dimensions.

[0005] Optionally, the intelligent badge further comprises an AI intelligent recording badge, and the multi-dimensional information collection and processing method further comprises: receiving to-be-processed information sent by the AI intelligent recording badge, the to-be-processed information comprising: recording data, position information and employee identity information, the recording data being voice data recorded by the AI intelligent recording badge on a target employee wearing the AI intelligent recording badge in a work scene; evaluating a work condition of the target employee in the work scene according to the to-be-processed information to obtain work evaluation information; generating feedback information corresponding to the to-be-processed information according to the work evaluation information; and feeding back the feedback information to the target employee.

[0006] Optionally, the work evaluation information is used to represent a work problem of the target employee in the work scene, and the feedback information comprises a solution corresponding to the work problem.

[0007] Optionally, the processing of the employee information corresponding to the multiple dimensions to obtain processed employee information corresponding to the multiple dimensions includes: for any dimension of the multiple dimensions, if the employee information corresponding to the dimension is a null value, determining preset information as the processed employee information corresponding to the dimension, and the preset information is used to characterize that the employee information corresponding to the dimension is the employee information to be collected; if the employee information corresponding to the dimension is not a null value, processing the employee information corresponding to the dimension through a pre-trained AI processing model to obtain the processed employee information corresponding to the dimension.

[0008] Optionally, the multi-dimensional information collection and processing method also includes: obtaining a training data set, the training data set including multiple training samples, the multiple training samples including training samples corresponding to the multiple dimensions respectively, each training sample including: a sample dimension, sample employee information corresponding to the sample dimension, and an AI processing label corresponding to the sample dimension, wherein the AI ​​processing label is used to characterize the processing strategy of the sample employee information corresponding to the sample dimension or to characterize the processed information of the sample employee information corresponding to the sample dimension; training the AI ​​processing model to be trained according to the training data set to obtain the pre-trained AI processing model.

[0009] Optionally, the multiple dimensions include: occupational information dimension, work status information dimension, security and authority information dimension, health and environment information dimension, work badge environment parameter dimension, social and communication information dimension and personal development information dimension; wherein, in the multiple training samples, the AI ​​processing labels corresponding to the occupational information dimension, the security and authority information dimension, the social and communication information dimension and the personal development information dimension are used to characterize the processed information of the sample employee information corresponding to the sample dimensions, and the AI ​​processing labels corresponding to the work status information dimension, the health and environment information dimension and the work badge environment parameter dimension are used to characterize the processing strategy of the sample employee information corresponding to the sample dimensions.

[0010] Optionally, adding a second work badge identification on the smart work badge based on the processed employee information corresponding to the multiple dimensions includes: determining the completeness of the processed employee information corresponding to the multiple dimensions; determining the credibility of the processed employee information corresponding to the multiple dimensions; determining the importance of the processed employee information corresponding to the multiple dimensions; and generating a second work badge identification on the smart work badge based on the completeness, credibility and importance of the processed employee information corresponding to the multiple dimensions.

[0011] Optionally, generating a second work badge identification on the smart work badge according to the completeness, credibility and importance of the processed employee information corresponding to the multiple dimensions includes: adding an initial second work badge identification to the smart work badge, the initial second work badge identification including a preset identification and a preset area for a graphic identification to be filled, the preset identification being used to view the processed employee information corresponding to the multiple dimensions; generating a first graphic identification according to the completeness of the processed employee information corresponding to the multiple dimensions; generating a second graphic identification according to the credibility of the processed employee information corresponding to the multiple dimensions; generating a third graphic identification according to the importance of the processed employee information corresponding to the multiple dimensions; filling the first graphic identification, the second graphic identification and the third graphic identification into the preset area to obtain the final generated second work badge identification.

[0012] Optionally, the preset identifier is associated with a preset information storage address, and the binding of the processed employee information corresponding to the multiple dimensions respectively with the second work badge identifier includes: storing the processed employee information corresponding to the multiple dimensions respectively to the preset information storage address; configuring an access address restriction for the preset information storage address, and the access address restriction is used to limit the network address for viewing the processed employee information corresponding to the multiple dimensions respectively; the multi-dimensional information collection and processing method also includes: in response to the user triggering an information viewing operation through the preset identifier, obtaining the user's network address; if the user's network address meets the access address restriction, obtaining the processed employee information corresponding to the multiple dimensions respectively from the preset information storage address associated with the preset identifier; and feeding back the processed employee information corresponding to the multiple dimensions respectively.

[0013] Optionally, generating a second work badge identification on the smart work badge according to the completeness, credibility and importance of the processed employee information corresponding to the multiple dimensions respectively includes: determining whether the processed employee information corresponding to the multiple dimensions respectively includes abnormal employee information according to the completeness, credibility and importance of the processed employee information corresponding to the multiple dimensions respectively; if the processed employee information corresponding to the multiple dimensions respectively does not include abnormal employee information, generating a second work badge identification on the smart work badge according to the completeness, credibility and importance of the processed employee information corresponding to the multiple dimensions respectively; if the processed employee information corresponding to the multiple dimensions respectively includes abnormal employee information, generating a second work badge identification on the smart work badge according to a preset work badge identification, and the preset work badge identification is used to represent the abnormal employee information.

[0014] Optionally, the multi-dimensional information collection and processing method also includes: receiving customized work badge information input by the employee through the first work badge identifier, the customized work badge information is information related to the layout design of the smart work badge; detecting whether the customized work badge information includes abnormal information, the abnormal information is information that does not comply with the smart work badge specifications; if the customized work badge information includes abnormal information, feedback is used to indicate that the customization failed; if the customized work badge information does not include abnormal information, the smart work badge is updated according to the customized work badge information.

[0015] In a second aspect, the present disclosure provides a multi-dimensional information collection and processing device for a smart work badge, including: a issuing module for issuing a smart work badge to an employee, wherein the smart work badge includes employee information in the identity information dimension and a first work badge identifier; an information collection module for receiving employee information corresponding to multiple dimensions input by the employee through the first work badge identifier; an information processing module for processing the employee information corresponding to the multiple dimensions to obtain processed employee information corresponding to the multiple dimensions; the information processing module is also used to add a second work badge identifier to the smart work badge based on the processed employee information corresponding to the multiple dimensions, and bind the processed employee information corresponding to the multiple dimensions to the second work badge identifier, and the second work badge identifier is used to view the processed employee information corresponding to the multiple dimensions.

[0016] Through the above technical solution, employee information is collected and processed based on smart work badges that include virtual employee badges. By issuing smart work badges to employees, employees can enter multi-dimensional employee information based on the first badge identifier of the smart work badge, process the multi-dimensional employee information, add a second badge identifier to the smart work badge based on the processed information, and bind the processed information to the second badge identifier. The processed information corresponding to multiple dimensions can be viewed through the second badge identifier. On the one hand, the management of employee information through smart work badges makes employee information management not limited to the form of the badge, and expands the dimension of information management; on the other hand, by binding the smart work badge with employee information, it is convenient to view employee information. Therefore, this technical solution expands the dimension of employee information through smart work badges that include virtual employee badges, improves the convenience of viewing employee information, and thus improves the management effect of employee badge information.

[0017] Other features and advantages of the present disclosure will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings are used to provide a further understanding of the present disclosure and constitute a part of the specification. Together with the following detailed description, they are used to explain the present disclosure but do not constitute a limitation of the present disclosure. In the accompanying drawings:

[0019] Figure 1 The figure is a schematic diagram showing an enterprise management scenario according to an exemplary embodiment.

[0020] Figure 2 The figure is a schematic diagram showing an application of an AI smart recording ID card according to an exemplary embodiment.

[0021] Figure 3 The present invention is a flowchart of a method for collecting and processing multi-dimensional information of a smart work badge according to an exemplary embodiment.

[0022] Figure 4 The present invention is a block diagram of a multi-dimensional information collection and processing device for a smart work badge according to an exemplary embodiment.

[0023] Figure 5 It is a block diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0024] The following describes the specific embodiments of the present disclosure in detail with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only used to illustrate and explain the present disclosure and are not intended to limit the present disclosure.

[0025] With the development of enterprise management technology, employee information management technology has also developed accordingly. This includes the management of employee badges. Currently, physical badges are often used for employee badge management. Physical badges are limited in form and cannot handle multi-dimensional information, resulting in poor management effectiveness of employee badge information.

[0026] Based on this, the embodiment of the present disclosure provides a technical solution for collecting and processing employee information based on a smart work badge including a virtual employee work badge. By issuing the smart work badge to employees, employees can enter multi-dimensional employee information based on the first work badge identifier of the smart work badge, process the multi-dimensional employee information, add a second work badge identifier to the smart work badge based on the processed information, and bind the processed information to the second work badge identifier. The processed information corresponding to multiple dimensions can be viewed through the second work badge identifier.

[0027] On the one hand, employee information can be managed through smart ID cards including virtual ID cards, so that employee information management is not limited to the form of ID cards, expanding the dimension of information management; on the other hand, by binding smart ID cards with employee information, employee information can be easily viewed.

[0028] Therefore, this technical solution uses smart ID cards to expand the dimensions of employee information, improve the convenience of viewing employee information, and thus improve the management effect of employee ID card information.

[0029] The technical solution provided by the embodiments of the present disclosure can be applied in enterprise management scenarios. In such scenarios, it can be implemented by relying on a specific enterprise management program (software). Therefore, the technical solution can be integrated into the enterprise management program.

[0030] Figure 1 is a schematic diagram showing an enterprise management scenario according to an exemplary embodiment. Figure 1 As shown, the enterprise management scenario involves the enterprise management front end and the enterprise management back end.

[0031] For the enterprise management front end, it can serve as the interactive end of enterprise management, and it can serve as the carrier of the enterprise management application. Thus, the employees and managers of the enterprise can respectively realize the corresponding enterprise management interactive functions through the enterprise management application.

[0032] For the enterprise management backend, it can serve as the data processing end for enterprise management. It can serve as the processing end for enterprise management applications. Various data involved in enterprise management applications can be processed and stored by the data processing end.

[0033] Therefore, the technical solutions of the embodiments of the present disclosure can be implemented by both the enterprise management front-end and the enterprise management back-end. Specifically, the human-computer interaction part is implemented by the enterprise management front-end, and the back-end data processing part is implemented by the enterprise management back-end.

[0034] In the disclosed embodiments, employee information management is performed based on smart ID badges. These smart ID badges include virtual ID badges that can be linked to physical ID badges. Furthermore, the information collected by the physical ID badges can be used as an extension of the information associated with the smart ID badges, further enhancing the dimensionality of the information. The following describes the implementation of the physical ID badges.

[0035] In some embodiments, the physical employee badge can be an AI smart recording badge, and its communication can be achieved through 4G.

[0036] In some embodiments, the AI-powered recording badge features omnidirectional sound pickup, acoustic noise reduction, high-definition recording, and multiple positioning capabilities. The collection of sound data is real-time, including real-time collection and upload. The collection of positioning information is also real-time, including real-time positioning and upload.

[0037] In some application scenarios, the AI-powered recording badge is an intelligent voice capture device that can be used for on-site sales and service, collecting and uploading voice throughout the entire process, and tracking and locating personnel. Based on a natural language processing algorithm engine, it enables voice transcription, speech quality inspection and analysis, the discovery of excellent speech, and employee capability and process compliance assessment, making on-site reception services more intelligent.

[0038] In some application scenarios, AI smart recording ID cards have the following advantages: light and compact, real-time uploading, real-time routing, real-time positioning, ultra-long battery life, encryption of important information, combination of software and hardware, and high compatibility.

[0039] In some application scenarios, AI-powered recording badges provide 360-degree omnidirectional audio pickup, accurately capturing every nuance and comprehensively collecting audio data from users at work, making recognition and transcription more complete and providing more comprehensive data support.

[0040] In some application scenarios, AI-powered recording badges offer acoustic noise reduction and high-definition recording. Specifically, they utilize a dual digital silicon microphone array, an algorithm chip, and acoustic noise reduction. With a clear pickup range of 5 meters, they guarantee high-quality audio reproduction and improve the adaptability and accuracy of ASR recognition and transcription.

[0041] In some application scenarios, the AI ​​smart recording badge 4G data is uploaded in real time in segments without delay or packet loss. The 4G network data upload is stable and has a wide range of application scenarios. No network configuration is required. Just turn on the device and start recording. It can be easily used in various indoor and outdoor environments and is suitable for different business scenarios.

[0042] In some application scenarios, AI intelligent recording ID cards use multiple precise positioning to determine the employee's location in real time, using GPS+Beidou+WiFi+LBS base station multiple positioning methods, integrating 4G full-network wireless communication technology, supporting indoor and outdoor positioning, and perfectly realizing outdoor mobile trajectory tracking.

[0043] In some application scenarios, the AI ​​smart recording badge has an ultra-long standby time and ultra-low power consumption. It is equipped with a Type-C charging port and can be fully charged within 3 hours. It uses dynamic algorithm optimization and low-power technology design, and can ensure continuous recording time of more than 10 hours even in high-intensity environments.

[0044] Furthermore, AI smart recording work badges can be applied to: automotive industry (sales communication process management in car showrooms), real estate industry (communication and reception process management in real estate development sites), financial services (service communication management in bank branches), insurance industry (insurance agency business development communication process management), door-to-door service (door-to-door service communication process management), power inspection (power inspection communication process management), medical services (doctor consultation communication process management) and business communication (recording of business on-site negotiation processes).

[0045] In some application scenarios, the AI intelligent recording badge can also involve large model analysis / data mining, including: customer label extraction: customer focus points, resistance points, customer experience feedback, price sensitivity, preferences, and competitors; sales pitch verification: store reception batch, average reception time, total effective reception time; violation behavior quality inspection: key scene case mining and speech content insight; intelligent agent center: industry intelligent agent and text question and answer; application market: multi-field related applications and data mining.

[0046] In some application scenarios, the AI intelligent recording badge can also involve multi-dimensional functions such as dialogue management, role separation, recording statistics, role recognition, and device monitoring.

[0047] In some embodiments, regarding the AI intelligent recording badge, there can be corresponding application modes.

[0048] In some embodiments, the AI intelligent recording badge can be used as Figure 1 the enterprise management front end shown in FIG. 1.

[0049] Therefore, as an optional implementation, in the case where the AI intelligent recording badge is used as the enterprise management front end, the enterprise management back end can be configured to: receive the to-be-processed information sent by the AI intelligent recording badge, the to-be-processed information including: recording data, position information, and employee identity information, the recording data being voice data recorded by the AI intelligent recording badge in a work scenario on a target employee wearing the AI intelligent recording badge; evaluate the work of the target employee in the work scenario according to the to-be-processed information to obtain work evaluation information; generate feedback information corresponding to the to-be-processed information according to the work evaluation information; and feed back the feedback information to the target employee.

[0050] In some embodiments, a database can be pre-configured, which records various key information and evaluation information corresponding to the key information, and the key information can be associated with different position information or employee identity information. Therefore, the recording data can be converted into text information, and the text information can be compared with the information recorded in the database to find the evaluation information.

[0051] In some embodiments, the work evaluation information is used to represent a work problem of the target employee in the work scenario, and the feedback information includes a solution corresponding to the work problem.

[0052] Taking a bank as an example, the work problem can be a process problem encountered by a bank staff, and the solution can be a solution corresponding to the process problem.

[0053] In some embodiments, the work evaluation information is used to represent the work quality of the target employee in the work scenario, and the feedback information includes an improvement scheme for the work quality.

[0054] Combined with this application method, Figure 2 This is a schematic diagram of an application of an AI smart recording badge according to an exemplary embodiment. Figure 2 As shown, the AI ​​recording badge acts as a front-end device, collecting relevant data and feeding it back to the back-end. The back-end analyzes the data through a database, obtains the corresponding feedback information, and then feeds it back to the AI ​​recording badge. The AI ​​recording badge can then directly feed back to the employee. Alternatively, the feedback information can be fed back to the employee's user terminal, which then feeds it back to the employee.

[0055] Figure 3 This is a flow chart showing a method for collecting and processing multi-dimensional information of a smart work badge according to an exemplary embodiment. Figure 3 As shown, the method includes the following steps:

[0056] Step S31: Issue a smart ID card to the employee. The smart ID card includes employee information in the identity information dimension and a first ID card identifier.

[0057] Step S32: Receive employee information corresponding to multiple dimensions input by the employee through the first work badge.

[0058] In step S33 , the employee information corresponding to the multiple dimensions is processed to obtain processed employee information corresponding to the multiple dimensions.

[0059] Step S34: Add a second ID card identifier to the smart ID card based on the processed employee information corresponding to the multiple dimensions, and bind the processed employee information corresponding to the multiple dimensions to the second ID card identifier. The second ID card identifier is used to view the processed employee information corresponding to the multiple dimensions.

[0060] In step S31, the smart ID card may be issued based on the employee information in the identity information dimension included in the smart ID card.

[0061] For example, for employees of an enterprise, a corresponding employee account can be registered through the enterprise management application. The employee account is associated with employee information in the employee identity information dimension. Through this information, a smart work badge can be issued to the corresponding employee.

[0062] For example, employee information corresponding to the identity information dimension may include: Name: clarifies the identity of the person to facilitate identification and communication within the organization. Work ID: The employee's unique number in the company or organization, which can be used for personnel management, attendance records, salary distribution and other matters. Photo: It is convenient for others to quickly identify the person, especially in places with high security requirements, such as factory workshops, laboratories, etc., to prevent others from impersonating work badges. Gender: In some specific occasions and work, gender information may affect work arrangements and resource allocation, such as arranging dormitories, allocating physical labor tasks, etc. Date of birth: It can be used to calculate the age of employees, and then conduct age structure analysis to provide a reference for human resource planning, such as predicting employee retirement time, arranging training plans, etc.

[0063] In some embodiments, when an employee joins the company, employee information in the identity information dimension is usually entered, and based on the employee information, a corresponding smart ID card can be issued for the employee.

[0064] In some embodiments, the smart ID card can be issued in a variety of ways. For example, an enterprise management application has a social function and can be configured with an enterprise management account. The enterprise management account can send the smart ID card to employees in the form of a message.

[0065] In some embodiments, the smart ID card can be in the form of a picture, a card, etc., which is not limited here.

[0066] In some embodiments, the first badge identifier may be a control identifier, a scannable QR code identifier, etc., and employee information may be entered by triggering the first badge identifier, for example, by clicking a control identifier, scanning a QR code, etc.

[0067] In some embodiments, the enterprise management account first sends a reminder to the employee to collect the smart ID card. The employee, based on the reminder, triggers the smart ID card collection operation. Based on the ID card collection operation, the enterprise management account then issues the smart ID card to the employee in the form of a message card. In this case, the smart ID card may include the employee's basic identity information and a first ID card identifier in the form of a QR code.

[0068] Correspondingly, employees can trigger the first work badge logo. After triggering the first work badge logo, they can jump to the employee information entry interface. In the employee information entry interface, there are entry options for employee information in multiple dimensions. Employees can enter employee information according to their own needs and actual situation.

[0069] In some embodiments, the employee information entered by an employee can be saved in real time. In addition, if an employee enters new employee information, the old employee information will be overwritten immediately. However, the old employee information can be saved in the back-end database and can be viewed at any time.

[0070] In some embodiments, the employee information entry interface may include entry controls corresponding to employee information of multiple dimensions, and corresponding employee information may be input by triggering the entry controls.

[0071] Therefore, in step S32, employee information corresponding to multiple dimensions input by the employee through the first work badge identification can be received.

[0072] After receiving the employee information corresponding to multiple dimensions entered by the employee through the first ID card identifier, in step S33, the employee information must be processed first, and then the smart ID card is updated based on the processed employee information. Therefore, in step S24, a second ID card identifier is added to the smart ID card based on the processed employee information corresponding to the multiple dimensions.

[0073] After adding the second work badge identification, the smart work badge is deemed to have been updated. Thus, the processed employee information corresponding to multiple dimensions can be bound to the second work badge identification, so that the processed employee information corresponding to multiple dimensions can be viewed through the second work badge identification.

[0074] It is understandable that employees can also update the employee information corresponding to multiple dimensions at any time by scanning the first work badge identification. Correspondingly, the second work badge identification can also be updated accordingly, and the processed employee information corresponding to the multiple dimensions bound to the second work badge identification will also be continuously updated.

[0075] In some embodiments, a smart ID card with a second ID card identifier is added, which can be used by employees themselves to view employee information, and can also be used by enterprise managers to view employee information.

[0076] In some embodiments, step S33 may include: for any dimension among multiple dimensions, if the employee information corresponding to the dimension is a null value, determining the preset information as the processed employee information corresponding to the dimension, and the preset information is used to characterize that the employee information corresponding to the dimension is the employee information to be collected; if the employee information corresponding to the dimension is not a null value, processing the employee information corresponding to the dimension through a pre-trained AI processing model to obtain the processed employee information corresponding to the dimension.

[0077] It is understandable that when entering employee information, employees may not enter employee information for all dimensions, so there may be cases where employee information contains null values. In this case, the employee information corresponding to the dimension can be directly determined as the employee information to be collected and the processed employee information corresponding to the dimension.

[0078] For example, the preset information may be text information such as: "No detailed information yet", "The employee has not entered information yet", etc.

[0079] When the employee information is not null, in order to improve data processing efficiency, a pre-trained AI (Artificial Intelligence) processing model can be used to process the employee information corresponding to the dimension to obtain the processed employee information corresponding to the dimension.

[0080] Among them, the AI ​​processing model can be a mature model used in this field, and the AI ​​processing model can be customized and trained so that the AI ​​processing model can be applied to the processing of employee information.

[0081] Therefore, the AI ​​processing model already has some basic data processing capabilities, but it needs to be adapted to the scenario, so the AI ​​processing model needs to be trained accordingly using training samples.

[0082] Therefore, as an optional implementation method, the training of the AI ​​processing model includes: obtaining a training data set, the training data set includes multiple training samples, the multiple training samples include training samples corresponding to multiple dimensions, each training sample includes: a sample dimension, sample employee information corresponding to the sample dimension, and an AI processing label corresponding to the sample dimension, wherein the AI ​​processing label is used to characterize the processing strategy of the sample employee information corresponding to the sample dimension or to characterize the processed information of the sample employee information corresponding to the sample dimension; the AI ​​processing model to be trained is trained according to the training data set to obtain a pre-trained AI processing model.

[0083] In this implementation, multiple training samples need to involve multiple dimensions. In the training samples corresponding to each dimension, the AI ​​processing model needs to be informed of the specific dimension, as well as the sample employee information under the specific dimension and the AI ​​processing label corresponding to the specific dimension.

[0084] The AI ​​processing label can be used to represent the processing strategy for the sample employee information corresponding to the sample dimension, or it can be used to represent the processed information of the sample employee information corresponding to the sample dimension. Different dimensions correspond to different AI processing labels.

[0085] Therefore, based on the data processing capabilities already possessed by the AI ​​processing tags and the AI ​​processing model, it is possible to learn how to process sample employee information in various dimensions.

[0086] In an embodiment of the present disclosure, the multiple dimensions may include: career information dimension, work status information dimension, safety and authority information dimension, health and environment information dimension, work badge environment parameters, social and communication information dimension, and personal development information dimension.

[0087] The AI-processed labels for the career information, security and authority information, social and communication information, and personal development information dimensions are used to represent the processed information of the sample employee information corresponding to the sample dimension. Therefore, for these dimensions, the processed information needs to be directly used as labels.

[0088] Furthermore, the AI ​​processing tags corresponding to the work status information dimension, health and environment information dimension, and badge environment parameters are used to represent the processing strategy for the sample employee information corresponding to the sample dimension. Therefore, for these dimensions, the AI ​​processing model needs to be informed how to process the data to obtain the processed information.

[0089] Regarding the dimension of career information, the following information may be involved: Department: Clarifying the department to which the employee belongs helps to understand the scope of his or her job responsibilities and work processes, and facilitates cross-departmental communication and collaboration. Position: reflects the employee's responsibilities and authority levels in the organization, such as manager, supervisor, ordinary employee, etc. Different positions differ in terms of work content, decision-making power, etc. Date of joining: records the time when the employee joined the organization, which can be used to calculate seniority, which is often linked to the employee's salary, welfare policies, promotion opportunities, etc. Immediate superior: It is convenient for employees to quickly find their direct leaders to report and seek help when they encounter problems at work, and it also makes it easier for superiors to manage and guide the work of their subordinates. Professional skills: Listing the professional skills and qualification certificates mastered by employees, such as electrician certificates, welder certificates, software engineer certificates, etc., will help to reasonably arrange personnel according to skill requirements when allocating projects and forming teams.

[0090] Regarding the work status information dimension, the following information may be involved: Attendance records: Through the cooperation of work badges and attendance equipment, employees' working hours, lateness, early departure, leave, etc. are recorded to provide a basis for salary calculation and performance appraisal. Working hours: Statistics are kept on employees' actual working hours per day, week, and month, including overtime hours, etc., in order to reasonably arrange work tasks and prevent employees from being overworked. It can also be used as a reference for overtime compensation. Task progress: Associate the employee's current work tasks and their completion progress with the work badge. Managers can use the work badge information to understand the employee's work status at any time and conduct work scheduling and coordination in a timely manner. Work performance: Evaluate the employee's work performance based on multiple factors such as the employee's work results, work quality, work efficiency, etc., and record the results in the work badge information for employee motivation, promotion assessment, etc.

[0091] Regarding the safety and authority information dimension, the following information can be involved: access authority: set the range of areas that employees can enter with their cards, such as ordinary office areas, confidential data rooms, dangerous chemical warehouses, etc., to ensure that personnel with different authorities can only enter corresponding areas, ensuring the safety and order of the organization. Equipment usage authority: clearly define the types and scope of equipment that employees can operate, such as office computers, production equipment, precision instruments, etc., to prevent unauthorized personnel from using equipment and avoid equipment damage and safety accidents. Data access authority: in an information-based office environment, control employees' access to internal data systems through card information, such as financial data, customer information, research and development materials, etc., to protect the organization's core data from being leaked.

[0092] Regarding the health and environment information dimension, the following information can be involved: health status: record employees' health information, such as whether they have special diseases, allergy history, etc., and consider employees' health status when arranging work, avoiding employees from engaging in unsuitable work, such as employees with heart disease engaging in high-intensity physical labor. Card environment parameters: collect temperature, humidity, light intensity, air quality, etc. parameters of the environment where the card is located through sensors on the card, understand whether the employees' working environment is comfortable and healthy, and provide basis for improving the working environment, such as arranging employees to rest and cool down in high-temperature environments.

[0093] Regarding the social and communication information dimension, the following information can be involved: contact information: including employees' mobile phone numbers, email addresses, etc., to facilitate colleagues, leaders and customers to contact employees in a timely manner when needed. Social groups: associate employees' social groups or interest groups information with the card, such as technical exchange groups, sports enthusiasts groups, etc., to facilitate internal exchange activities and team building, and improve communication and cooperation among employees. Communication preferences: record employees' communication method preferences, such as preferring face-to-face communication, telephone communication or email communication, etc., to choose the appropriate way when communicating with employees, improving communication efficiency.

[0094] Regarding the personal development information dimension, the following information can be involved: training records: record employees' training courses, training time, training effect evaluation, etc. information, understand employees' training needs and development direction, and provide reference for subsequent training plan development. Career planning: employees fill in their career planning goals and expectations in the card information, managers can provide appropriate guidance and support according to employees' career planning, such as arranging appropriate job rotation, providing promotion opportunities, etc., to promote the combination of employees' personal development and the realization of organizational goals. Skill improvement needs: employees can feedback their skill bottlenecks and improvement needs in work, and the organization can configure training and learning resources according to these needs to help employees continuously improve their abilities.

[0095] In the above example, for information in the dimensions of career information, security and authority information, social and communication information, and personal development information, the difference between the processed information and the unprocessed information is usually that the unprocessed information has been filtered or directly deduplicated and normalized to obtain the processed information. Therefore, for this information, the processed information can be directly used as the AI ​​processing label.

[0096] For the work status information dimension, health and environment information dimension, and badge environment parameter dimension, further information needs to be obtained based on this information. Therefore, AI processing tags need to be configured for this information.

[0097] As an example, the AI ​​processing tag corresponding to the work status information dimension may be: evaluate the work status information to obtain an evaluation level of the work status. Thus, this requirement can be input into the AI ​​processing model, and the AI ​​processing model can evaluate the work status information based on the processing tag to obtain processed information, which may include a rating and raw data. The specific evaluation method can be pre-configured in the AI ​​processing model. For example, standard work status information corresponding to different evaluation levels can be pre-configured in the AI ​​processing model, and the evaluation level can be obtained by comparing the information.

[0098] As an example, the AI ​​processing tag corresponding to the health and environmental information dimension can be: evaluate the health and environmental information to obtain the abnormality level of the health and environmental information. Therefore, this requirement can be input into the AI ​​processing model, and the AI ​​processing model can evaluate the health and environmental information based on the processing tag to obtain processed information. The processed information can include a rating and raw data. The specific evaluation method can be pre-configured in the AI ​​processing model. For example, the health and environmental information corresponding to different abnormality levels can be pre-configured in the AI ​​processing model, and the abnormality level can be obtained by comparing the information.

[0099] As an example, the AI ​​processing tag corresponding to the work badge environmental parameter dimension can be: evaluate the work badge environmental parameters to obtain the abnormality level of the work badge environmental parameters. Therefore, this requirement can be input into the AI ​​processing model, and the AI ​​processing model can evaluate the work badge environmental parameters based on the processing tag to obtain processed information. The processed information can include a rating and raw data. The specific evaluation method can be pre-configured in the AI ​​processing model. For example, the work badge environmental parameters corresponding to different abnormality levels can be pre-configured in the AI ​​processing model, and the abnormality level can be obtained through information comparison.

[0100] In some embodiments, abnormal environment parameters of the ID card may indicate abnormal environment of the employee, that is, the environment parameters of the ID card correspond to the environment parameters of the employee.

[0101] The above AI processing tags are only used as an example. In different application scenarios, combined with different information, different processing tag configuration methods can be used, which is not limited here.

[0102] Furthermore, after obtaining the processed employee information corresponding to multiple dimensions, in step S34, a second work badge identifier is added to the smart work badge according to the processed employee information corresponding to multiple dimensions, and the processed employee information corresponding to multiple dimensions is bound to the second work badge identifier.

[0103] In some embodiments, in order to enrich the meaning represented by the second work badge identification, a variety of second work badge identifications can be generated by analyzing the processed employee information corresponding to multiple dimensions.

[0104] Therefore, for different employees, due to different employee information, the second badge logo on their corresponding smart badge is also different, thereby improving the diversity of employee badges.

[0105] Therefore, as an optional implementation, step S34 includes: determining the completeness of the processed employee information corresponding to multiple dimensions; determining the credibility of the processed employee information corresponding to multiple dimensions; determining the importance of the processed employee information corresponding to multiple dimensions; and generating a second work badge logo on the smart work badge based on the completeness, credibility and importance of the processed employee information corresponding to multiple dimensions.

[0106] In some embodiments, completeness can indicate whether the processed employee information corresponding to each dimension is complete. For example, if the processed employee information includes three data items, all of which have corresponding data and are not null values, the completeness is 100%. If only one data item has corresponding data and is not null, and the other data items are either null values ​​or have no data, the completeness can be 33%.

[0107] In some embodiments, credibility can indicate the authenticity of processed employee information corresponding to each dimension. For example, the processed employee information can be compared with a preset employee information range. If it exceeds the preset range, it indicates a low degree of authenticity and, therefore, a low degree of credibility. If it does not exceed the preset range, it indicates a high degree of authenticity and, therefore, a high degree of credibility. Alternatively, the processed employee information of the current employee can be compared with the information of multiple other employees. If the frequency of occurrence is low, the credibility is low; if the frequency of occurrence is high, the credibility is high.

[0108] In some embodiments, importance can represent the importance of a dimension. Therefore, importance can be pre-configured for different dimensions, and the importance of information can be determined based on the importance of the dimensions. For example, the importance of work status information is higher than that of social and communication information.

[0109] Furthermore, a second work badge identification is generated on the smart work badge based on the completeness, credibility and importance of the processed employee information corresponding to multiple dimensions, including: adding an initial second work badge identification to the smart work badge, the initial second work badge identification including a preset identification and a preset area for the graphic identification to be filled, the preset identification being used to view the processed employee information corresponding to multiple dimensions; generating a first graphic identification based on the completeness of the processed employee information corresponding to multiple dimensions; generating a second graphic identification based on the credibility of the processed employee information corresponding to multiple dimensions; generating a third graphic identification based on the importance of the processed employee information corresponding to multiple dimensions; filling the first graphic identification, the second graphic identification and the third graphic identification into the preset area to obtain the final generated second work badge identification.

[0110] In this implementation, an initial second badge identifier can be added to the smart badge. This initial second badge identifier includes a preset identifier and a preset area to be filled with a graphical identifier. Different graphical identifiers can then be generated based on their completeness, credibility, and importance. These different graphical identifiers are then filled into the preset area to create the final second badge identifier.

[0111] In some embodiments, different graphic identifiers are generated using completeness, credibility, and importance. This can be achieved using established graphic generation technologies in the art, such as QR code generation technology and barcode generation technology. This allows different levels of completeness, credibility, and importance to correspond to different graphic identifiers, and allows different graphic identifiers to represent different levels of completeness, credibility, and importance, thereby increasing the richness of smart ID cards.

[0112] In some embodiments, the completeness, credibility, and importance corresponding to each graphic identifier may be recorded on the back end, and the completeness, credibility, and importance may be viewed by triggering the corresponding graphic identifier.

[0113] In some embodiments, the generated graphical identifier is directly used to characterize completeness, credibility, and importance.

[0114] For example, assuming the graphic symbol is a rectangle, different filled areas in the rectangle correspond to different levels of completeness, credibility, or importance. Alternatively, the completeness, credibility, and importance can be directly converted into information represented by the graphic symbol.

[0115] In some embodiments, in its initial state, a smart ID card includes employee information related to identity and a first ID card identifier. Next, a second ID card identifier, including a preset identifier and a preset area, can be added to the smart ID card. Then, when an employee triggers the first ID card identifier and enters their employee information, the information processed using the employee information is used to add a new graphical identifier to the preset area, thereby updating the state of the smart ID card.

[0116] In some embodiments, the three graphic logos filled in the preset area are information for distinguishing the smart ID card, and the preset logos can be the same for each smart ID card.

[0117] Therefore, the preset identifier is associated with the preset information storage address. By triggering the preset identifier, you can jump to the preset information storage address and obtain corresponding information.

[0118] Thus, the processed employee information corresponding to multiple dimensions is bound to the second work badge identification, including: storing the processed employee information corresponding to multiple dimensions to a preset information storage address; configuring an access address restriction for the preset information storage address, the access address restriction is used to limit the network address for viewing the processed employee information corresponding to multiple dimensions; the multi-dimensional information collection and processing method also includes: in response to the user triggering an information viewing operation through a preset identification, obtaining the user's network address; if the user's network address meets the access address restriction, obtaining the processed employee information corresponding to multiple dimensions from the preset information storage address associated with the preset identification; and feeding back the processed employee information corresponding to multiple dimensions.

[0119] In this embodiment, the processed employee information corresponding to multiple dimensions can be stored in a preset information storage address, and access address restrictions can be configured for the preset information storage address, wherein the access address restrictions can limit access to employee information to only corporate LAN addresses.

[0120] In some embodiments, a user who wishes to view information can trigger an information viewing operation using a preset identifier, such as by scanning a preset identifier or triggering a preset identifier control. Accordingly, based on the triggering operation, a corresponding network address can be obtained. If the network address satisfies access address restrictions, processed employee information corresponding to multiple dimensions is retrieved from a preset information storage address associated with the preset identifier, and the processed employee information corresponding to the multiple dimensions is displayed to implement information feedback.

[0121] In some embodiments, a second work badge identification is generated on the smart work badge based on the completeness, credibility and importance of the processed employee information corresponding to multiple dimensions, including: determining whether the processed employee information corresponding to the multiple dimensions includes abnormal employee information based on the completeness, credibility and importance of the processed employee information corresponding to the multiple dimensions; if the processed employee information corresponding to the multiple dimensions does not include abnormal employee information, generating a second work badge identification on the smart work badge based on the completeness, credibility and importance of the processed employee information corresponding to the multiple dimensions; if the processed employee information corresponding to the multiple dimensions includes abnormal employee information, generating a second work badge identification on the smart work badge based on a preset work badge identification, and the preset work badge identification is used to represent the abnormal employee information.

[0122] In this embodiment, the presence of abnormal employee information can also be determined based on the completeness, credibility, and importance of the processed employee information. If abnormal employee information does not exist, a graphic identifier can be generated according to the aforementioned embodiment. If abnormal employee information exists, a second badge identifier can be generated to represent the abnormal employee information.

[0123] The preset work badge logo may be a graphic logo representing an abnormality, such as an exclamation mark logo, an error logo, and the like.

[0124] In some embodiments, normal ranges of completeness, credibility, and importance may be pre-configured. If the information is within the normal range, it indicates that there is no abnormal employee information; otherwise, it indicates that there is abnormal employee information.

[0125] In some embodiments, the method may further include: receiving customized information of the work badge input by the employee through the first work badge identifier, the customized information of the work badge being information related to the layout design of the smart work badge; detecting whether the customized information of the work badge includes abnormal information, the abnormal information being information that does not comply with the specifications of the smart work badge; if the customized information of the work badge includes abnormal information, feeding back prompt information indicating that customization failed; if the customized information of the work badge does not include abnormal information, updating the smart work badge according to the customized information of the work badge.

[0126] In this embodiment, the smart ID card supports employee-defined layouts, so employees can also design the layout of their own virtual ID cards by triggering the first ID card identifier.

[0127] In some embodiments, it is possible to pre-define abnormal information that the smart badge does not support, for example, it cannot include sensitive characters or shapes that are sensitive to the enterprise.

[0128] In some embodiments, if there is abnormal information, the layout of the work badge will not be customized and updated. If not, the layout design will be updated according to the customized information.

[0129] Relevant information about layout design may include: the color of the work badge, the layout of the work badge, the newly added patterns on the work badge, etc.

[0130] Through this implementation method, the compatibility of smart ID cards with employees can be improved, and the use effect of smart ID cards can be improved.

[0131] Furthermore, through the technical solution of the disclosed embodiment, each employee of an enterprise can use a smart ID card to record various employee information, which is highly operational and convenient. For enterprise managers, they can also use the smart ID card at any time to view the corresponding employee information and understand the employee's situation, which facilitates enterprise management.

[0132] Figure 4 This is a block diagram of a multi-dimensional information collection and processing device for a smart work badge according to an exemplary embodiment, the device comprising:

[0133] The issuing module 401 is used to issue a smart ID card to an employee. The smart ID card includes employee information in the identity information dimension and a first ID card identifier. The smart ID card includes a virtual employee ID card.

[0134] The information collection module 402 is configured to receive employee information corresponding to multiple dimensions input by the employee through the first work badge;

[0135] An information processing module 403 is configured to process the employee information corresponding to the multiple dimensions to obtain processed employee information corresponding to the multiple dimensions;

[0136] The information processing module 403 is also used to add a second work badge identifier to the smart work badge based on the processed employee information corresponding to the multiple dimensions, and bind the processed employee information corresponding to the multiple dimensions to the second work badge identifier. The second work badge identifier is used to view the processed employee information corresponding to the multiple dimensions.

[0137] Regarding the apparatus in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0138] Figure 5 FIG. 5 is a block diagram of an electronic device 500 according to an exemplary embodiment. Figure 5 As shown, the electronic device 500 may include: a processor 501 , a memory 502 , and may further include one or more of a multimedia component 503 , an input / output (I / O) interface 504 , and a communication component 505 .

[0139] The processor 501 is used to control the overall operation of the electronic device 500 to complete all or part of the steps in the multi-dimensional information collection and processing method for smart badges. The memory 502 is used to store various types of data to support the operation of the electronic device 500. This data may include, for example, instructions for any application or method operating on the electronic device 500, as well as application-related data such as contact information, sent and received messages, images, audio, video, etc. The memory 502 can be implemented by any type of volatile or non-volatile storage device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The multimedia component 503 may include a screen and an audio component. The screen may be, for example, a touch screen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signals may be further stored in the memory 502 or transmitted via the communication component 505. The audio component also includes at least one speaker for outputting audio signals. The I / O interface 504 provides an interface between the processor 501 and other interface modules. The above-mentioned other interface modules may be a keyboard, a mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 505 is used for wired or wireless communication between the electronic device 500 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G or 4G, or a combination of one or more thereof, so the corresponding communication component 505 may include: a Wi-Fi module, a Bluetooth module, an NFC module.

[0140] In an exemplary embodiment, the electronic device 500 can be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to execute the above-mentioned multi-dimensional information collection and processing method for smart work badges.

[0141] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided. When executed by a processor, the program instructions implement the steps of the multi-dimensional information collection and processing method for smart ID badges. For example, the computer-readable storage medium may be the aforementioned memory 502 including the program instructions. The program instructions may be executed by the processor 501 of the electronic device 500 to implement the multi-dimensional information collection and processing method for smart ID badges.

[0142] In another exemplary embodiment, a computer program product is also provided, which includes a computer program that can be executed by a processor, and when the computer program is executed by the processor, the steps of the multi-dimensional information collection and processing method of the above-mentioned smart work badge are implemented.

[0143] The preferred embodiments of the present disclosure are described in detail above in conjunction with the accompanying drawings. However, the present disclosure is not limited to the specific details of the above embodiments. Within the technical concept of the present disclosure, various simple modifications can be made to the technical solutions of the present disclosure, and these simple modifications all fall within the scope of protection of the present disclosure.

[0144] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any appropriate manner without contradiction. In order to avoid unnecessary repetition, the present disclosure will not further describe various possible combinations.

[0145] In addition, the various embodiments of the present disclosure may be arbitrarily combined, and as long as they do not violate the concept of the present disclosure, they should also be regarded as the contents disclosed by the present disclosure.

Claims

1. A multi-dimensional information collection and processing method for smart ID cards, characterized in that: include: Issuing a smart ID card to the employee, wherein the smart ID card includes employee information in the identity information dimension and a first ID card identifier, and the smart ID card includes a virtual employee ID card; Receiving employee information corresponding to multiple dimensions input by the employee through the first work badge identifier; Processing the employee information corresponding to the multiple dimensions to obtain processed employee information corresponding to the multiple dimensions; According to the processed employee information corresponding to the multiple dimensions, a second work badge identifier is added to the smart work badge, and the processed employee information corresponding to the multiple dimensions is bound to the second work badge identifier, and the second work badge identifier is used to view the processed employee information corresponding to the multiple dimensions; The processing of the employee information corresponding to the multiple dimensions to obtain processed employee information corresponding to the multiple dimensions includes: For any dimension of the multiple dimensions, if the employee information corresponding to the dimension is not a null value, the employee information corresponding to the dimension is processed by a pre-trained AI processing model to obtain processed employee information corresponding to the dimension; The multi-dimensional information collection and processing method further includes: Obtain a training data set, the training data set including multiple training samples, the multiple training samples including training samples corresponding to the multiple dimensions respectively, each training sample including: a sample dimension, sample employee information corresponding to the sample dimension, and an AI processing label corresponding to the sample dimension, wherein the AI ​​processing label is used to characterize the processing strategy of the sample employee information corresponding to the sample dimension or to characterize the processed information of the sample employee information corresponding to the sample dimension; the sample dimension includes: a health and environmental information dimension and a work badge environmental parameter dimension, the AI ​​processing label corresponding to the health and environmental information dimension is used to instruct an evaluation of the health and environmental information to obtain an abnormality level of the health and environmental information, and the AI ​​processing label corresponding to the work badge environmental parameter dimension is used to instruct an evaluation of the work badge environmental parameters to obtain an abnormality level of the work badge environmental parameters; The AI ​​processing model to be trained is trained according to the training data set to obtain the pre-trained AI processing model.

2. The multi-dimensional information collection and processing method according to claim 1, characterized in that: The smart badge also includes an AI smart recording badge, and the multi-dimensional information collection and processing method also includes: Receive information to be processed sent by the AI ​​smart recording badge, the information to be processed including: recording data, location information, and employee identity information, the recording data being voice data recorded by the AI ​​smart recording badge for a target employee wearing the AI ​​smart recording badge in a work scenario; Evaluate the target employee's work performance in the work scenario based on the information to be processed to obtain work evaluation information; generating feedback information corresponding to the information to be processed based on the work evaluation information; Feedback the feedback information to the target employee.

3. The multi-dimensional information collection and processing method according to claim 2, characterized in that: The work evaluation information is used to characterize the work problems of the target employee in the work scenario, and the feedback information includes solutions corresponding to the work problems.

4. The multi-dimensional information collection and processing method according to claim 1, characterized in that: The processing of the employee information corresponding to the multiple dimensions to obtain processed employee information corresponding to the multiple dimensions includes: For any dimension of the multiple dimensions, if the employee information corresponding to the dimension is a null value, the preset information is determined as the processed employee information corresponding to the dimension, and the preset information is used to indicate that the employee information corresponding to the dimension is the employee information to be collected.

5. The multi-dimensional information collection and processing method according to claim 1, characterized in that: Adding a second ID card identifier to the smart ID card according to the processed employee information corresponding to the multiple dimensions includes: Determining the completeness of the processed employee information corresponding to each of the multiple dimensions; Determining the credibility of the processed employee information corresponding to each of the multiple dimensions; Determining the importance of the processed employee information corresponding to each of the multiple dimensions; A second work badge identifier is generated on the smart work badge according to the completeness, credibility, and importance of the processed employee information corresponding to the multiple dimensions.

6. The multi-dimensional information collection and processing method according to claim 5, characterized in that: Generating a second ID card identifier on the smart ID card according to the completeness, credibility, and importance of the processed employee information corresponding to the multiple dimensions, includes: Adding an initial second work badge identifier to the smart work badge, wherein the initial second work badge identifier includes a preset identifier and a preset area to be filled with a graphic identifier, and the preset identifier is used to view the processed employee information corresponding to the multiple dimensions respectively; generating a first graphic identifier according to the completeness of the processed employee information corresponding to each of the multiple dimensions; generating a second graphic identifier according to the credibility of the processed employee information corresponding to the multiple dimensions; generating a third graphic identifier according to the importance of the processed employee information corresponding to the multiple dimensions; The first graphic identifier, the second graphic identifier and the third graphic identifier are filled into the preset area to obtain a final generated second work badge identifier.

7. The multi-dimensional information collection and processing method according to claim 6, characterized in that: The preset identifier is associated with a preset information storage address, and the processing employee information corresponding to the multiple dimensions is bound to the second work badge identifier, including: Storing the processed employee information corresponding to the multiple dimensions respectively into the preset information storage address; Configuring an access address restriction for the preset information storage address, wherein the access address restriction is used to limit the network address for viewing the processed employee information corresponding to each of the multiple dimensions; The multi-dimensional information collection and processing method further includes: In response to the user triggering an information viewing operation through the preset identifier, obtaining the user's network address; If the network address of the user satisfies the access address restriction, obtaining the processed employee information corresponding to the multiple dimensions respectively from the preset information storage address associated with the preset identifier; Feedback is provided of processed employee information corresponding to each of the multiple dimensions.

8. The multi-dimensional information collection and processing method according to claim 6, characterized in that: Generating a second ID card identifier on the smart ID card according to the completeness, credibility, and importance of the processed employee information corresponding to the multiple dimensions, includes: determining, based on the completeness, credibility, and importance of the processed employee information corresponding to the multiple dimensions, whether the processed employee information corresponding to the multiple dimensions includes abnormal employee information; If the processed employee information corresponding to the multiple dimensions does not include abnormal employee information, generating a second ID badge identifier on the smart ID badge according to the completeness, credibility, and importance of the processed employee information corresponding to the multiple dimensions; In a case where the processed employee information corresponding to the multiple dimensions includes abnormal employee information, a second work badge identifier is generated on the smart work badge according to a preset work badge identifier, where the preset work badge identifier is used to represent the abnormal employee information.

9. A multi-dimensional information collection and processing device for smart work badges, characterized in that: include: A distribution module is used to distribute a smart ID card to an employee, wherein the smart ID card includes employee information in the identity information dimension and a first ID card identifier, and the smart ID card includes a virtual employee ID card; An information collection module, configured to receive employee information corresponding to multiple dimensions input by the employee through the first work badge; An information processing module, configured to process the employee information corresponding to the multiple dimensions to obtain processed employee information corresponding to the multiple dimensions; The information processing module is further configured to add a second work badge identifier to the smart work badge based on the processed employee information corresponding to the multiple dimensions, and bind the processed employee information corresponding to the multiple dimensions to the second work badge identifier, wherein the second work badge identifier is used to view the processed employee information corresponding to the multiple dimensions; The information processing module is further configured to: for any dimension among the multiple dimensions, if the employee information corresponding to the dimension is not a null value, process the employee information corresponding to the dimension using a pre-trained AI processing model to obtain processed employee information corresponding to the dimension; The multi-dimensional information collection and processing device further includes a training module for: Obtain a training data set, the training data set including multiple training samples, the multiple training samples including training samples corresponding to the multiple dimensions respectively, each training sample including: a sample dimension, sample employee information corresponding to the sample dimension, and an AI processing label corresponding to the sample dimension, wherein the AI ​​processing label is used to characterize the processing strategy of the sample employee information corresponding to the sample dimension or to characterize the processed information of the sample employee information corresponding to the sample dimension; the sample dimension includes: a health and environmental information dimension and a work badge environmental parameter dimension, and an assessment level of the working status is obtained, the AI ​​processing label corresponding to the health and environmental information dimension is used to instruct an assessment of the health and environmental information to obtain an abnormality level of the health and environmental information, and the AI ​​processing label corresponding to the work badge environmental parameter dimension is used to instruct an assessment of the work badge environmental parameters to obtain an abnormality level of the work badge environmental parameters; The AI ​​processing model to be trained is trained according to the training data set to obtain the pre-trained AI processing model.

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