Digital collaborative office system

Abstract

The invention relates to the technical field of information, and discloses a digital collaborative office system, which comprises a data collection module, a clustering module, an intelligent data processing module, a service identification module, an automatic mechanism module, a service type division module, a task receiving module and a collaborative office module, the data collection module comprises an institution information acquisition unit and an operation data acquisition unit, the clustering module carries out deep analysis on collected data by utilizing a clustering algorithm to form sub-service groups, the service identification module determines the service dimension of each sub-service group according to a clustering result, the service type division module determines the department service type, and the service identification module identifies the service dimension of each sub-service group. According to the characteristics of service nodes, department service types of office institutions are intelligently divided, the task receiving module comprises a service acquisition unit, a service analysis unit and a service branch determination unit, and the collaborative office module constructs a collaborative office information mapping table by analyzing to-be-processed services.

Description

Technical Field

[0001] The present invention relates to the field of information technology, and in particular to a digital collaborative office system. Background Art

[0002] In today's digital age, enterprise-level collaborative office systems have become the key support for efficient operations within organizations. Currently, there are a variety of enterprise-level collaborative office systems on the market, which have certain functions in data processing, organizational management, task reception and processing, collaborative office, etc. However, these systems often have the shortcomings and deficiencies mentioned above, such as insufficient data processing capabilities, unclear division of organizational structure and business types, low task processing efficiency, and a single collaborative office model. Summary of the invention

[0003] In view of the shortcomings of the existing technology, the present invention provides a digital collaborative office system with the advantages of flexibility, security, high efficiency and low cost, which solves the problems of insufficient data processing capability, unclear division of organizational structure and business type, low task processing efficiency and single collaborative office mode in the existing system.

[0004] To achieve the above-mentioned object, the present invention provides the following technical solutions: a digital collaborative office system, comprising a data collection module, a clustering module, an intelligent data processing module, a business identification module, an automated mechanism module and a business type classification module, a task receiving module and a collaborative office module;

[0005] The data collection module includes an organization information acquisition unit and an operation data acquisition unit;

[0006] The clustering module uses a clustering algorithm to conduct an in-depth analysis of the collected data, classifying similar business activities or projects into one category to form a sub-business group;

[0007] The business identification module clarifies the business dimensions of each sub-business group according to the clustering results, including technical difficulty, market potential and customer value;

[0008] The automation mechanism module establishes a business node and a mechanism structure diagram, the automation mechanism module generates a data analysis unit according to the business node and the mechanism structure diagram, and performs calculations in the data analysis unit;

[0009] The business type classification module determines the department business type and intelligently classifies the department business type of the office organization according to the characteristics of the business node;

[0010] The task receiving module includes a service acquisition unit, a service analysis unit and a service branch determination unit, and performs data numbering by classifying the units in the module;

[0011] The collaborative office module constructs a collaborative office information mapping table by analyzing the pending business.

[0012] Preferably, the organization information acquisition unit acquires comprehensive business data of the office organization through an efficient data collection mechanism and numbers the data. The organization information acquisition unit uses a clustering algorithm to deeply process the business data of the office organization and identify the characteristics of different business types, so as to more accurately understand the business content and provide a solid foundation for subsequent business analysis and collaborative office. The operation data acquisition unit collects operation data from each business department and numbers the data.

[0013] Preferably, the comprehensive business data number of the office is q 1 ,q 2 ,q 3 ,…q n The operational data include project progress, team performance, customer satisfaction and market feedback data, and the project progress, team performance, customer satisfaction and market feedback data are numbered as f 1 、f 2 、f 3 、f 4 .

[0014] Preferably, the data analysis unit includes: deeply analyzing the clustered sub-business data, clarifying the business dimensions, establishing business nodes, and automatically generating a clear organizational structure diagram.

[0015] Preferably, the data analysis unit calculates the coupling coordination degree Gvl between business and operation based on the comprehensive business data and operation data, and the calculation formula is:

[0016]

[0017] In the formula, q 1 ,q 2 ,q 3 ,…q n Represents the overall business data of the office, q i represents the i-th business data of the office, r 1 、r 2 、r 3 ,…r n represents the comprehensive business standardized data of the office, n represents the amount of comprehensive business data counted, q i represents the standardized data of the i-th business of the office, f 1 、f 2 、f 3 、f 4 Represents project progress, team performance, customer satisfaction and market feedback data, respectively. iRepresents one of the following data: project progress, team performance, customer satisfaction, and market feedback. 1 、z 2 、z 3 、z 4 They represent operational data, including project progress, team performance, customer satisfaction, and market feedback standardized data. i Represents standardized data corresponding to one of the following data: project progress, team performance, customer satisfaction, and market feedback.

[0018] Preferably, the task receiving module regularly monitors the services submitted by the client through the service acquisition unit, effectively manages the service flow, caches the services exceeding the preset threshold to avoid system overload, and records the effective management service flow and the invalid management service flow, and then numbers the data, the effective management service flow and the invalid management service flow are numbered as X and X respectively. 1 , X 2 .

[0019] Preferably, the business analysis unit determines the business processing order, constructs the service branch detection task, improves the flexibility and efficiency of task processing, and records the number of tasks that pass the service branch detection and the number of tasks that fail the service branch detection, and then numbers the data. The number of tasks that pass the service branch detection and the number of tasks that fail the service branch detection are numbered Y, respectively. 1 , Y 2 .

[0020] Preferably, the service branch determination unit ensures that the service is bound to a suitable service branch, and records the number of services successfully bound to a suitable service branch and the number of services unsuccessfully bound to a suitable service branch, and then performs data numbering, wherein the number of services successfully bound to a suitable service branch and the number of services unsuccessfully bound to a suitable service branch are respectively represented as V 1 、V 2 .

[0021] Preferably, the collaborative office module calculates the office collaborative index Wcg according to the serial number data of the business acquisition unit, the business analysis unit and the service branch determination unit, and the calculation formula is:

[0022]

[0023] In the formula, Wcg represents the office synergy index, X 1 , X 2 They represent effective management traffic and invalid management traffic, respectively, 1 , Y 2 They represent the number of tasks that pass the service branch detection and the number of tasks that fail the service branch detection, respectively. 1 、V2 represents the number of successful services bound to appropriate service branches and the number of unsuccessful services bound to appropriate service branches, respectively. 1 represents the weight of effectively managing business traffic, b 2 represents the weight of the number of tasks that pass the service branch detection, b 3 The weight indicating the number of services successfully bound to appropriate service branches.

[0024] Preferably, the collaborative office module constructs a collaborative office information mapping table by analyzing the business to be processed, and determines the degree of association between data blocks to select the most appropriate collaborative mode.

[0025] Compared with the prior art, the present invention provides a digital collaborative office system, which has the following beneficial effects:

[0026] 1. The system of the present invention realizes decentralization through distributed service branches, which can not only avoid the risk of single point failure, but also enhance the stability and security of the system. This architectural design makes the system more flexible and scalable, and can cope with various emergencies and ensure business continuity.

[0027] 2. The present invention helps to realize real-time monitoring of the performance of the collaborative office system by calculating the office collaboration index Wcg. Under the premise that the system establishes a dynamic evaluation standard line, when the office collaboration index Wcg is on the standard line established by the system, the system can quickly identify and give priority to high-value or urgent tasks. This mechanism can not only reduce system failures and delays, but also improve the overall processing speed of the system. By calculating the office collaboration index Wcg, effective resource allocation for the collaborative office system can also be achieved, thereby effectively solving the problem of low efficiency in collaborative office task processing. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is a schematic diagram of the structure of the present invention. DETAILED DESCRIPTION

[0029] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] See also Figure 1 , a digital collaborative office system, including a data collection module, a clustering module, an intelligent data processing module, a business identification module, an automated organization module and a business type classification module, a task receiving module and a collaborative office module;

[0031] The data collection module includes an institutional information acquisition unit and an operational data acquisition unit;

[0032] The clustering module uses clustering algorithms to conduct in-depth analysis of the collected data, grouping similar business activities or projects into one category to form sub-business groups;

[0033] Based on the clustering results, the business identification module clarifies the business dimensions of each sub-business group, including technical difficulty, market potential and customer value. The business dimensions provide a basis for the subsequent establishment of business nodes and generation of organizational structure diagrams.

[0034] The automated organization module establishes business nodes and organization structure diagrams. The specific process is as follows: a business node is created for each sub-business group in the system. Each node represents a specific business field or project. The nodes are interconnected through association relationships (such as dependency, collaboration, and support) to form a clear organization structure diagram (this diagram not only shows the hierarchical relationship between businesses, but also reveals the internal connections and interaction patterns between them). The automated organization module generates data analysis units based on the business nodes and organization structure diagram, and performs calculations in the data analysis units.

[0035] The business type classification module determines the department business type and intelligently divides the department business type of the office organization according to the characteristics of the business node (reducing manual intervention and improving management efficiency);

[0036] The task receiving module includes a service acquisition unit, a service analysis unit and a service branch determination unit. The data is numbered through the unit classification in the module and the optimal allocation of resources is achieved.

[0037] The collaborative office module analyzes the pending business, builds a collaborative office information mapping table, and determines the degree of correlation between data blocks to select the most appropriate collaborative mode (this mechanism realizes the intelligence of collaborative office and can automatically adjust collaborative strategies according to business needs to improve office efficiency).

[0038] The institutional information acquisition unit obtains the comprehensive business data of the office organization through an efficient data collection mechanism and numbers the data. The institutional information acquisition unit uses a clustering algorithm to deeply process the business data of the office organization and identify the characteristics of different business types, so as to more accurately understand the business content and provide a solid foundation for subsequent business analysis and collaborative office. The operational data acquisition unit collects operational data from various business departments and numbers the data.

[0039] The comprehensive business data of the office is numbered q 1 ,q 2 ,q 3 ,…q n, operational data includes project progress, team performance, customer satisfaction and market feedback data, which are numbered as f 1 、f 2 、f 3 、f 4 .

[0040] The data analysis unit includes: in-depth analysis of clustered sub-business data, clarifying business dimensions, establishing business nodes, and automatically generating a clear organizational structure diagram (the data analysis unit further analyzes the processed sub-business data, determines business dimensions, establishes business nodes, and draws an organizational structure diagram to help users clearly understand the business layout and inter-departmental relationships within the organization. The department business type determination unit accurately determines the department business type of the office organization based on business nodes to improve management efficiency).

[0041] The data analysis unit calculates the coupling coordination degree Gvl between business and operation based on comprehensive business data and operation data. The calculation formula is:

[0042]

[0043] In the formula, q 1 ,q 2 ,q 3 ,…q n Represents the overall business data of the office, q i represents the i-th business data of the office, r 1 、r 2 、r 3 ,…r n represents the comprehensive business standardized data of the office, n represents the amount of comprehensive business data counted, q i represents the standardized data of the i-th business of the office, f 1 、f 2 、f 3 、f 4 Represents project progress, team performance, customer satisfaction and market feedback data, respectively. i Represents one of the following data: project progress, team performance, customer satisfaction, and market feedback. 1 、z 2 、z 3 、z 4 They represent operational data, including project progress, team performance, customer satisfaction, and market feedback standardized data. i Represents standardized data corresponding to one of the following data: project progress, team performance, customer satisfaction, and market feedback.

[0044] The advantages are: by calculating the coupling coordination degree Gvl of business and operation, the formula can quantify the degree of association between the two. A high coupling coordination degree indicates a strong positive correlation between business activities and operational results, while a low coupling coordination degree indicates a mismatch or conflict between the two, which helps to optimize business processes and improve operational efficiency. By establishing business nodes and drawing organizational structure diagrams to generate data analysis units to analyze data, the formula can not only provide numerical calculation results, but also display the business layout and inter-departmental relationships within the organization in an intuitive way, which helps users better understand the analysis results. Accurately determining the departmental business type of the office organization based on business nodes helps to improve management efficiency. By clarifying the business focus and scope of responsibilities of each department, resources can be allocated and strategies can be formulated more effectively.

[0045] The task receiving module monitors the services submitted by the client regularly through the service acquisition unit, effectively manages the service flow, caches the services exceeding the preset threshold to avoid system overload, and records the effective management service flow and the invalid management service flow, and then numbers the data. The effective management service flow and the invalid management service flow are numbered as X respectively. 1 , X 2 .

[0046] The business analysis unit determines the business processing sequence, constructs the service branch detection task, improves the flexibility and efficiency of task processing, and records the number of tasks that pass the service branch detection and the number of tasks that fail the service branch detection, and then numbers the data. The number of tasks that pass the service branch detection and the number of tasks that fail the service branch detection are numbered Y and Y respectively. 1 , Y 2 .

[0047] The service branch determination unit ensures that the service is bound to the appropriate service branch, and records the number of services successfully bound to the appropriate service branch and the number of services unsuccessfully bound to the appropriate service branch, and then performs data numbering. The number of services successfully bound to the appropriate service branch and the number of services unsuccessfully bound to the appropriate service branch are respectively represented as V 1 、V 2 .

[0048] The collaborative office module calculates the office collaborative index Wcg according to the serial number data of the business acquisition unit, the business analysis unit and the service branch determination unit. The calculation formula is:

[0049]

[0050] In the formula, Wcg represents the office synergy index, X 1 , X 2 They represent effective management traffic and invalid management traffic, respectively,1 , Y 2 They represent the number of tasks that pass the service branch detection and the number of tasks that fail the service branch detection, respectively. 1 、V 2 represents the number of successful services bound to appropriate service branches and the number of unsuccessful services bound to appropriate service branches, respectively. 1 represents the weight of effectively managing business traffic, b 2 represents the weight of the number of tasks that pass the service branch detection, b 3 The weight indicating the number of services successfully bound to appropriate service branches.

[0051] The advantages are: by calculating the office collaboration index Wcg, it is helpful to realize real-time monitoring of the performance of the collaborative office system. On the premise that the system establishes a dynamic evaluation standard line, when the office collaboration index Wcg is on the standard line established by the system, the system can quickly identify and give priority to high-value or urgent tasks. This mechanism can not only reduce system failures and delays, but also improve the overall processing speed of the system. By calculating the office collaboration index Wcg, it can also realize effective resource allocation of the collaborative office system, thereby effectively solving the problem of low efficiency in collaborative office task processing.

[0052] The collaborative office module analyzes the pending business, builds a collaborative office information mapping table, and determines the degree of correlation between data blocks to select the most appropriate collaborative mode (this mechanism realizes the intelligence of collaborative office and can automatically adjust collaborative strategies according to business needs to improve office efficiency).

[0053] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A digital collaborative office system, characterized in that: It includes data collection module, clustering module, intelligent data processing module, business identification module, automation organization module and business type classification module, task receiving module and collaborative office module; The data collection module includes an organization information acquisition unit and an operation data acquisition unit; The clustering module uses a clustering algorithm to conduct an in-depth analysis of the collected data, classifying similar business activities or projects into one category to form a sub-business group; The business identification module clarifies the business dimensions of each sub-business group according to the clustering results, including technical difficulty, market potential and customer value; The automation mechanism module establishes a business node and a mechanism structure diagram, the automation mechanism module generates a data analysis unit according to the business node and the mechanism structure diagram, and performs calculations in the data analysis unit; The business type classification module determines the department business type and intelligently classifies the department business type of the office organization according to the characteristics of the business node; The task receiving module includes a service acquisition unit, a service analysis unit and a service branch determination unit, and performs data numbering by classifying the units in the module; The collaborative office module constructs a collaborative office information mapping table by analyzing the pending business.

2. A digital collaborative office system according to claim 1, characterized in that: The organization information acquisition unit acquires the comprehensive business data of the office organization through an efficient data collection mechanism and numbers the data. The organization information acquisition unit uses a clustering algorithm to deeply process the business data of the office organization and identify the characteristics of different business types, so as to more accurately understand the business content and provide a solid foundation for subsequent business analysis and collaborative office. The operation data acquisition unit collects operation data from various business departments and numbers the data.

3. A digital collaborative office system according to claim 2, characterized in that: The comprehensive business data of the office is numbered as q1, q2, q3, ...q n The operation data include project progress, team performance, customer satisfaction and market feedback data, and the project progress, team performance, customer satisfaction and market feedback data are numbered f1, f2, f3 and f4 respectively.

4. A digital collaborative office system according to claim 1, characterized in that: The data analysis unit includes: deeply analyzing the clustered sub-business data, clarifying the business dimensions, establishing business nodes, and automatically generating a clear organizational structure diagram.

5. A digital collaborative office system according to claim 4, characterized in that: The data analysis unit calculates the coupling coordination degree Gvl between business and operation based on the comprehensive business data and operation data, and the calculation formula is: In the formula, q1, q2, q3,…q n Represents the overall business data of the office, q i represents the i-th business data of an office, r1, r2, r3, ...r n represents the comprehensive business standardized data of the office, n represents the amount of comprehensive business data counted, q i represents the standardized data of the i-th business of the office, f1, f2, f3, and f4 represent project progress, team performance, customer satisfaction, and market feedback data, respectively, and f i represents one of the data of project progress, team performance, customer satisfaction and market feedback. z1, z2, z3 and z4 represent the operational data including project progress, team performance, customer satisfaction and market feedback standardization data. i Represents standardized data corresponding to one of the following data: project progress, team performance, customer satisfaction, and market feedback.

6. A digital collaborative office system according to claim 1, characterized in that: The task receiving module regularly monitors the services submitted by the client through the service acquisition unit, effectively manages the service traffic, caches the services exceeding the preset threshold to avoid system overload, and records the effective management service traffic and the invalid management service traffic, and then numbers the data. The effective management service traffic and the invalid management service traffic are numbered X1 and X2 respectively.

7. A digital collaborative office system according to claim 1, characterized in that: The business analysis unit determines the business processing order, constructs service branch detection tasks, improves the flexibility and efficiency of task processing, and records the number of tasks that pass the service branch detection and the number of tasks that fail the service branch detection, and then numbers the data. The number of tasks that pass the service branch detection and the number of tasks that fail the service branch detection are numbered Y1 and Y2 respectively.

8. The digital collaborative office system according to claim 1, characterized in that: The service branch determination unit ensures that the service is bound to the appropriate service branch, and records the number of services successfully bound to the appropriate service branch and the number of services unsuccessfully bound to the appropriate service branch, and then performs data numbering. The number of services successfully bound to the appropriate service branch and the number of services unsuccessfully bound to the appropriate service branch are represented as V1 and V2 respectively.

9. A digital collaborative office system according to claim 8, characterized in that: The collaborative office module calculates the office collaborative index Wcg according to the serial number data of the business acquisition unit, the business analysis unit and the service branch determination unit, and the calculation formula is: In the formula, Wcg represents the office collaboration index, X1 and X2 represent effective management of business traffic and ineffective management of business traffic, respectively, Y1 and Y2 represent the number of tasks that pass the service branch detection and the number of tasks that fail the service branch detection, respectively, V1 and V2 represent the number of successful and unsuccessful bindings of services to appropriate service branches, respectively, b1 represents the weight of effective management of business traffic, b2 represents the weight of the number of tasks that pass the service branch detection, and b3 represents the weight of the number of successful bindings of services to appropriate service branches.

10. A digital collaborative office system according to claim 9, characterized in that: The collaborative office module constructs a collaborative office information mapping table by analyzing the business to be processed, and determines the degree of association between data blocks to select the most appropriate collaborative mode.

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