Process service system based on enterprise management

Abstract

The invention discloses a process service system based on enterprise management, and relates to the technical field of enterprise management, and the system comprises a server side and an enterprise side. The server comprises a standardization engine, an automation engine and an intelligent engine; the enterprise side comprises a security verification unit, a flow element set generation unit and a flow design graphical user interface; the flow element set generation unit is used for generating a flow element set according to the business management requirement of the enterprise object and the identification result of the authentication module; the flow design graphical user interface is used for designing a business management flow model of an enterprise by an enterprise object in a mode of dragging and dropping elements in a flow element set; the standardization engine is used for converting the business management process model of the enterprise object design into a standardized business process definition; the automation engine is used for automatically executing the business process according to the standardized business process definition; and the intelligent engine is used for optimizing the execution of the business process.

Description

Technical Field

[0001] The present application relates to the technical field of enterprise management, and in particular, to a process service system based on enterprise management. Background Art

[0002] With the rapid development of information technology, enterprises have an increasing demand for process management. Traditional manual management tools can no longer meet enterprises' needs for process intelligence.

[0003] The current process management software on the market often has a single function and is difficult to meet the diverse business management needs of enterprises. In addition, these systems are usually inflexible and difficult to adapt to the ever-changing business process management needs of enterprises.

[0004] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0005] The embodiment of the present application provides a process service system based on enterprise management to solve the above technical problems.

[0006] The present application provides a process service system based on enterprise management, including a service end and an enterprise end; the service end includes a standardization engine, an automation engine and an intelligent engine; the enterprise end includes a security verification unit, a process element set generation unit and a process design graphical user interface; wherein,

[0007] The security verification unit includes a face image acquisition module and an authentication module;

[0008] The process element set generation unit is used to generate a process element set according to the business management requirements of the enterprise object and the authentication result of the authentication module; wherein the elements in the process element set include event elements and logic elements;

[0009] The process design graphical user interface is used by the enterprise object to design the business management process model of the enterprise by dragging and dropping elements in the process element set; wherein the business management process model includes a workflow management process model, an approval process model and a project management process model;

[0010] The standardization engine is used to convert the business management process model designed by the enterprise object into a standardized business process definition;

[0011] The automation engine is used to automatically execute the business process according to the standardized business process definition;

[0012] The intelligent engine is used to optimize the execution of business processes.

[0013] Furthermore, the face image acquisition module is used to acquire the face image of the enterprise object;

[0014] The authentication module is used to process the collected facial images; extract facial feature parameters used to characterize the identity information of the enterprise object from the processed facial images, and identify the authority scope of the enterprise object based on the facial feature parameters.

[0015] Furthermore, the process element set generation unit generates a process element set according to the business management requirements of the enterprise object and the identification result of the authentication module, and is specifically configured as follows:

[0016] Querying a subject set according to the business management requirements of the enterprise object;

[0017] According to the scope of authority of the enterprise object identified by the authentication module, a probabilistic latent semantic analysis algorithm is used to train a subject-related word matrix, an event element-related subject matrix, and a logic element-related subject matrix in the subject set; wherein the subject-related word matrix is ​​used to characterize the probability distribution of words under each subject; the event element-related subject matrix is ​​used to characterize the relationship between event elements and subjects; and the logic element-related subject matrix is ​​used to characterize the relationship between logic elements and subjects;

[0018] Based on the topic association word matrix, the event element association topic matrix and the logic element association topic matrix, the EM algorithm is used to generate the process element set.

[0019] Further, the EM algorithm includes an E step and an M step; the process element set generation unit generates the process element set using the EM algorithm based on the topic association word matrix, the event element association topic matrix and the logic element association topic matrix, and is specifically configured as follows:

[0020] defining a first credibility of the subject association word matrix, a second credibility of the event element association subject matrix, and a third credibility of the logic element association subject matrix;

[0021] Based on the first credibility of the topic association word matrix, the second credibility of the event element association topic matrix, and the third credibility of the logic element association topic matrix, a priori probability of the EM model is defined;

[0022] ;

[0023] in, represents the prior probability of the EM model; A pseudo count representing the correct position in the subject-related word matrix; A pseudo count representing an error position in the subject-related word matrix; A pseudo count representing the correct position of the event element in the associated topic matrix; A pseudo count representing the error position in the event element association topic matrix; a pseudo count representing the correct position of the logical element in the associated subject matrix; a pseudo count representing the number of error positions in the subject matrix associated with the logical element;

[0024] The first credibility is used to indicate the contribution of the first hidden state to the observed data in the topic-related word matrix; , The second credibility is used to represent the association between the observed data in the topic association word matrix and the first hidden state; the second credibility is used to represent the contribution of the second hidden state to the observed data in the event element association topic matrix; , used to characterize the association between the observed data in the event element association topic matrix and the second hidden state; the third credibility is used to represent the contribution of the third hidden state to the observed data in the logic element association topic matrix; , used to characterize the association between the observation data in the logical element association topic matrix and the third hidden state;

[0025] In the E step, the probability of a word under a given topic is calculated using the current topic-related word matrix, and the topic-related word matrix is ​​updated in the M step;

[0026] In the E step, the probability of the event element belonging to each topic is calculated using the current event element-related topic matrix, and the event element-related topic matrix is ​​updated in the M step;

[0027] In the E step, the probability of a logical element belonging to each topic is calculated using the current event element associated topic matrix, and the logical element associated topic matrix is ​​updated in the M step;

[0028] By iteratively executing the E step and the M step, the topic association word matrix, the event element association topic matrix and the logic element association topic matrix are gradually optimized until the EM model converges;

[0029] The process element set is generated according to the optimized topic association word matrix, the event element association topic matrix and the logic element association topic matrix.

[0030] Further, in the step E, the expected complete data log-likelihood function is used to calculate the expected value of the first hidden state, the expected value of the second hidden state, and the expected value of the third hidden state;

[0031] ;

[0032] in, is the expected complete data log-likelihood function; are model parameters of the EM model; is the estimated value of the model parameters of the EM model at the kth iteration; Indicates that at the kth iteration, given the observed data and estimated values Under the condition of The conditional probability distribution of ; i is 1 or 2 or 3; is the first hidden state; is the observed data in the subject-related word matrix; is the second hidden state; Associating the event elements with the observation data in the subject matrix; is the third hidden state; Associating observation data in a thematic matrix with the logical elements; is the posterior probability of the first hidden state; is the posterior probability of the second hidden state; is the posterior probability of the third hidden state.

[0033] Furthermore, in the M step, the model parameters of the EM model are By maximizing the expected complete data log-likelihood function To update;

[0034] ;

[0035] in, After the kth iteration, the maximum expected complete data log-likelihood function is Get the maximum value.

[0036] Furthermore, the process service system based on enterprise management also includes:

[0037] A cloud deployment unit, used for the enterprise to deploy and use the enterprise management-based process service system in a cloud environment;

[0038] A local deployment unit, used for the enterprise to deploy and use the enterprise management-based process service system on a local server;

[0039] A hybrid deployment unit is used for the enterprise to combine cloud deployment and local deployment.

[0040] Furthermore, the process service system based on enterprise management also includes:

[0041] A financial management unit, which includes an enterprise accounting module, an enterprise fund management module, an enterprise cost control module, and an enterprise financial statement preparation module;

[0042] A supply chain management unit, wherein the supply chain management unit includes a supplier management module, a procurement management module and an inventory management module.

[0043] Furthermore, the process service system based on enterprise management also includes:

[0044] A data and document management unit, used to manage and store data and documents generated in the process of designing the business management process model of the enterprise;

[0045] A version control and change management unit is used to track and manage updated versions of the business management process model of the enterprise.

[0046] Furthermore, the process service system based on enterprise management is integrated with other information systems of the enterprise; wherein, the other information systems include order management system, warehouse management system, supply chain management system, enterprise resource planning system, supplier relationship management system, quality management system, risk management system and product life cycle management system.

[0047] Based on the embodiment provided by the present application, the security verification unit includes a face image acquisition module and an authentication module; the process element set generation unit is used to generate a process element set according to the business management requirements of the enterprise object and the identification result of the authentication module; wherein the elements in the process element set include event elements and logic elements; the process design graphical user interface is used for the enterprise object to design the business management process model of the enterprise by dragging and dropping the elements in the process element set; wherein the business management process model includes a workflow management process model, an approval process model and a project management process model; the standardization engine is used to convert the business management process model designed by the enterprise object into a standardized business process definition; the automation engine is used to automatically execute the business process according to the standardized business process definition; the intelligent engine is used to optimize the execution of the business process. That is, through the constructed process management platform, non-technical personnel are allowed to design business management process models, thereby realizing the standardization, automation and intelligence of the business process of the enterprise. This method reduces the technical threshold and makes the design and management of business processes more flexible, friendly and efficient. Thereby, it is realized to support non-technical personnel to design and modify business processes through a graphical interface, and improve work efficiency and response speed.

[0048] Specifically, it has the following beneficial effects: the face image acquisition module improves the security of the system through biometric recognition, ensuring that only authorized users can access the system; the authentication module authenticates and authorizes users to prevent unauthorized access, and ensures the security of business processes and the confidentiality of data; a set of process elements is generated according to the business management needs of the enterprise, ensuring that the generated process elements match the actual business needs of the enterprise; the identification results of the authentication module are used to ensure that only authorized users can create or modify process elements, thereby enhancing the security of the process; event elements allow enterprises to capture and respond to specific business events, making the process more flexible and automated; logical elements provide process decision and control logic, making process design more sophisticated and controllable; business management process models are designed by dragging and dropping to improve design efficiency and user experience; visual operation The work reduces the difficulty of designing complex processes, making it easy for non-technical users to design processes; the workflow management process model is used to standardize workflows and improve work efficiency and transparency; the approval process model is used to clarify approval authority and steps to ensure the compliance and efficiency of the approval process; the project management process model is used to optimize project management processes and improve the success rate and satisfaction of project execution; the standardization engine converts the designed business management process model into a standardized business process definition to ensure the consistency and interchangeability of the process; standardization facilitates process integration and interoperability between different systems and organizations; the automation engine automatically executes business processes based on standardized business process definitions, reduces manual intervention, and improves execution efficiency and accuracy; the intelligent engine can learn the execution mode of business processes, predict potential bottlenecks, and automatically adjust processes to improve performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The drawings described herein are used to provide a further understanding of the embodiments of the present invention and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0050] Figure 1 is a structural diagram of an optional process service system based on enterprise management according to an embodiment of the present application;

[0051] Figure 2 This is a flowchart of an optional generation process element set according to an embodiment of the present application.

[0052] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION

[0053] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0054] Alternatively, if Figure 1 As shown, the present application provides a process service system based on enterprise management, which includes a service end and an enterprise end; the service end includes a standardization engine 101, an automation engine 102, and an intelligent engine 103; the enterprise end includes a security verification unit 104, a process element set generation unit 105, and a process design graphical user interface 106; wherein,

[0055] The security verification unit 104 includes a face image acquisition module and an authentication module;

[0056] The process element set generation unit 105 is used to generate a process element set according to the business management requirements of the enterprise object and the authentication result of the authentication module; wherein the elements in the process element set include event elements and logic elements;

[0057] The process design graphical user interface 106 is used by the enterprise object to design the business management process model of the enterprise by dragging and dropping elements in the process element set; wherein the business management process model includes a workflow management process model, an approval process model and a project management process model;

[0058] The standardization engine 101 is used to convert the business management process model designed by the enterprise object into a standardized business process definition;

[0059] The automation engine 102 is used to automatically execute business processes according to standardized business process definitions;

[0060] The intelligent engine 103 is used to optimize the execution of business processes.

[0061] Based on the embodiment provided by the present application, the security verification unit includes a face image acquisition module and an authentication module; the process element set generation unit is used to generate a process element set according to the business management requirements of the enterprise object and the identification result of the authentication module; wherein the elements in the process element set include event elements and logic elements; the process design graphical user interface is used for the enterprise object to design the business management process model of the enterprise by dragging and dropping the elements in the process element set; wherein the business management process model includes a workflow management process model, an approval process model and a project management process model; the standardization engine is used to convert the business management process model designed by the enterprise object into a standardized business process definition; the automation engine is used to automatically execute the business process according to the standardized business process definition; the intelligent engine is used to optimize the execution of the business process. That is, through the constructed process management platform, non-technical personnel are allowed to design business management process models, thereby realizing the standardization, automation and intelligence of the business process of the enterprise. This method reduces the technical threshold and makes the design and management of business processes more friendly and efficient. Thereby, it is realized to support non-technical personnel to design and modify business processes through a graphical interface, and improve work efficiency and response speed.

[0062] Specifically, it has the following beneficial effects: the face image acquisition module improves the security of the system through biometric recognition, ensuring that only authorized users can access the system; the authentication module authenticates and authorizes users to prevent unauthorized access, and ensures the security of business processes and the confidentiality of data; a set of process elements is generated according to the business management needs of the enterprise, ensuring that the generated process elements match the actual business needs of the enterprise; the identification results of the authentication module are used to ensure that only authorized users can create or modify process elements, thereby enhancing the security of the process; event elements allow enterprises to capture and respond to specific business events, making the process more flexible and automated; logical elements provide process decision and control logic, making process design more sophisticated and controllable; business management process models are designed by dragging and dropping to improve design efficiency and user experience; visual operation The work reduces the difficulty of designing complex processes, making it easy for non-technical users to design processes; the workflow management process model is used to standardize workflows and improve work efficiency and transparency; the approval process model is used to clarify approval authority and steps to ensure the compliance and efficiency of the approval process; the project management process model is used to optimize project management processes and improve the success rate and satisfaction of project execution; the standardization engine converts the designed business management process model into a standardized business process definition to ensure the consistency and interchangeability of the process; standardization facilitates process integration and interoperability between different systems and organizations; the automation engine automatically executes business processes based on standardized business process definitions, reduces manual intervention, and improves execution efficiency and accuracy; the intelligent engine can learn the execution mode of business processes, predict potential bottlenecks, and automatically adjust processes to improve performance.

[0063] Further, the face image acquisition module is used to acquire face images of enterprise objects;

[0064] The authentication module is used to process the collected face images; extract the face feature parameters used to characterize the identity information of the enterprise object from the processed face images, and identify the authority scope of the enterprise object based on the face feature parameters.

[0065] Furthermore, if Figure 2 As shown, the process element set generation unit generates a process element set according to the business management requirements of the enterprise object and the identification result of the authentication module, and is specifically configured as follows:

[0066] S201, querying a subject set according to the business management requirements of an enterprise object;

[0067] S202, according to the authority scope of the enterprise object identified by the authentication module, the probabilistic latent semantic analysis algorithm is used to train the subject association word matrix, the event element association subject matrix and the logic element association subject matrix in the subject set; wherein the subject association word matrix is ​​used to represent the probability distribution of words under each subject; the event element association subject matrix is ​​used to represent the relationship between the event element and the subject; the logic element association subject matrix is ​​used to represent the relationship between the logic element and the subject;

[0068] S203, based on the topic association word matrix, the event element association topic matrix and the logic element association topic matrix, an EM algorithm is used to generate a process element set.

[0069] Furthermore, the EM algorithm includes an E step and an M step; the process element set generation unit generates a process element set using the EM algorithm based on the topic association word matrix, the event element association topic matrix, and the logic element association topic matrix, and is specifically configured as follows:

[0070] Define the first credibility of the subject association word matrix, the second credibility of the event element association subject matrix, and the third credibility of the logic element association subject matrix;

[0071] Based on the first credibility of the topic-related word matrix, the second credibility of the event element-related topic matrix, and the third credibility of the logic element-related topic matrix, the prior probability of the EM model is defined;

[0072] ;

[0073] in, represents the prior probability of the EM model; Pseudo-counts representing the correct positions in the topic-related word matrix; Pseudo-counts representing incorrect positions in the topic-related word matrix; Pseudo-counts representing the correct position of event elements in the subject matrix; Pseudo-counts representing incorrect positions in the matrix of event element association topics; Pseudo-counts representing the correct position in the subject matrix of the logical element association; Pseudo-counts representing incorrect positions in the subject matrix of logical element associations;

[0074] Among them, the first credibility is used to indicate the contribution of the first hidden state to the observed data in the topic-related word matrix; , It is used to characterize the association between the observation data in the topic association word matrix and the first hidden state; the second credibility is used to indicate the contribution of the second hidden state to the observation data in the event element association topic matrix; , It is used to characterize the association between the observed data in the event element association theme matrix and the second hidden state; the third credibility is used to indicate the contribution of the third hidden state to the observed data in the logic element association theme matrix; , It is used to characterize the association between the observed data in the logical element association topic matrix and the third hidden state;

[0075] In the E step, the current topic-related word matrix is ​​used to calculate the probability of a word under a given topic, and the topic-related word matrix is ​​updated in the M step;

[0076] In step E, the current event element-topic matrix is ​​used to calculate the probability that the event element belongs to each topic, and the event element-topic matrix is ​​updated in step M;

[0077] In step E, the current event element-related topic matrix is ​​used to calculate the probability that the logical element belongs to each topic, and the logical element-related topic matrix is ​​updated in step M;

[0078] By iteratively executing the E step and the M step, the topic association word matrix, the event element association topic matrix, and the logic element association topic matrix can be gradually optimized until the EM model converges;

[0079] A set of process elements is generated based on the optimized topic association word matrix, event element association topic matrix and logic element association topic matrix.

[0080] Further, in step E, the expected complete data log-likelihood function is used to calculate the expected value of the first hidden state, the expected value of the second hidden state, and the expected value of the third hidden state;

[0081] ;

[0082] in, is the expected complete data log-likelihood function; are the model parameters of the EM model; is the estimated value of the model parameters of the EM model at the kth iteration; Indicates that at the kth iteration, given the observed data and estimated values Under the condition of The conditional probability distribution of ; i is 1 or 2 or 3; is the first hidden state; is the observation data in the topic-related word matrix; is the second hidden state; Associate observational data in the topic matrix with event elements; It is the third hidden state; Associate observations in the thematic matrix with logical elements; is the posterior probability of the first hidden state; is the posterior probability of the second hidden state; is the posterior probability of the third hidden state.

[0083] Furthermore, in the M step, the model parameters of the EM model By maximizing the expected complete data log-likelihood function To update;

[0084] ;

[0085] in, To maximize the expected complete data log-likelihood function after the kth iteration Get the maximum value.

[0086] Furthermore, the process service system based on enterprise management also includes:

[0087] Cloud deployment unit, used by enterprises to deploy and use enterprise management-based process service systems in cloud environments;

[0088] Local deployment unit, used by enterprises to deploy and use enterprise-management-based process service systems on local servers;

[0089] Hybrid deployment units are used by enterprises to combine cloud deployment and on-premises deployment.

[0090] Furthermore, the process service system based on enterprise management also includes:

[0091] Financial management unit, which includes enterprise accounting module, enterprise fund management module, enterprise cost control module and enterprise financial statement preparation module;

[0092] Supply chain management unit, the supply chain management unit includes supplier management module, procurement management module and inventory management module.

[0093] Furthermore, the process service system based on enterprise management also includes:

[0094] A data and document management unit, used to manage and store data and documents generated in the process of designing the business management process model of the enterprise;

[0095] Version control and change management unit, used to track and manage updated versions of the enterprise's business management process models.

[0096] Furthermore, the process service system based on enterprise management is integrated with other information systems of the enterprise; among which, other information systems include order management system, warehouse management system, supply chain management system, enterprise resource planning system, supplier relationship management system, quality management system, risk management system and product life cycle management system.

[0097] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A process service system based on enterprise management, It is characterized in that It includes a server side and an enterprise side; the server side includes a standardization engine, an automation engine and an intelligent engine; the enterprise side includes a security verification unit, a process element set generation unit and a process design graphical user interface; wherein the security verification unit includes a face image acquisition module and an authentication module; The process element set generation unit is used to generate a process element set according to the business management requirements of the enterprise object and the authentication result of the authentication module; wherein the elements in the process element set include event elements and logic elements; The process design graphical user interface is used by the enterprise object to design the business management process model of the enterprise by dragging and dropping elements in the process element set; wherein the business management process model includes a workflow management process model, an approval process model and a project management process model; The standardization engine is used to convert the business management process model designed by the enterprise object into a standardized business process definition; The automation engine is used to automatically execute the business process according to the standardized business process definition; The intelligent engine is used to optimize the execution of business processes.

2. According to the process service system based on enterprise management according to claim 1, It is characterized in that The face image acquisition module is used to acquire the face image of the enterprise object; The authentication module is used to process the collected facial images; extract facial feature parameters used to characterize the identity information of the enterprise object from the processed facial images, and identify the authority scope of the enterprise object based on the facial feature parameters.

3. According to the process service system based on enterprise management as claimed in claim 2, It is characterized in that The process element set generation unit generates a process element set according to the business management requirements of the enterprise object and the identification result of the authentication module, and is specifically configured as follows: Querying a subject set according to the business management requirements of the enterprise object; According to the scope of authority of the enterprise object identified by the authentication module, a probabilistic latent semantic analysis algorithm is used to train a subject-related word matrix, an event element-related subject matrix, and a logic element-related subject matrix in the subject set; wherein the subject-related word matrix is ​​used to characterize the probability distribution of words under each subject; the event element-related subject matrix is ​​used to characterize the relationship between event elements and subjects; and the logic element-related subject matrix is ​​used to characterize the relationship between logic elements and subjects; Based on the topic association word matrix, the event element association topic matrix and the logic element association topic matrix, the EM algorithm is used to generate the process element set.

4. According to the process service system based on enterprise management as claimed in claim 3, It is characterized in that The EM algorithm includes an E step and an M step; the process element set generation unit generates the process element set using the EM algorithm based on the topic association word matrix, the event element association topic matrix and the logic element association topic matrix, and is specifically configured as follows: defining a first credibility of the subject association word matrix, a second credibility of the event element association subject matrix, and a third credibility of the logic element association subject matrix; Based on the first credibility of the topic association word matrix, the second credibility of the event element association topic matrix, and the third credibility of the logic element association topic matrix, a priori probability of the EM model is defined; ； in, represents the prior probability of the EM model; A pseudo count representing the correct position in the subject-related word matrix; A pseudo count representing an error position in the subject-related word matrix; A pseudo count representing the correct position of the event element in the associated topic matrix; A pseudo count representing the error position in the event element association topic matrix; a pseudo count representing the correct position of the logical element in the associated subject matrix; a pseudo count representing the number of error positions in the subject matrix associated with the logical element; The first credibility is used to indicate the contribution of the first hidden state to the observed data in the topic-related word matrix; , The second credibility is used to represent the association between the observed data in the topic association word matrix and the first hidden state; the second credibility is used to represent the contribution of the second hidden state to the observed data in the event element association topic matrix; , used to characterize the association between the observed data in the event element association topic matrix and the second hidden state; the third credibility is used to represent the contribution of the third hidden state to the observed data in the logic element association topic matrix; , used to characterize the association between the observation data in the logical element association topic matrix and the third hidden state; In the E step, the probability of a word under a given topic is calculated using the current topic-related word matrix, and the topic-related word matrix is ​​updated in the M step; In the E step, the probability of the event element belonging to each topic is calculated using the current event element-related topic matrix, and the event element-related topic matrix is ​​updated in the M step; In the E step, the probability of a logical element belonging to each topic is calculated using the current event element associated topic matrix, and the logical element associated topic matrix is ​​updated in the M step; By iteratively executing the E step and the M step, the topic association word matrix, the event element association topic matrix and the logic element association topic matrix are gradually optimized until the EM model converges; The process element set is generated according to the optimized topic association word matrix, the event element association topic matrix and the logic element association topic matrix.

5. According to the process service system based on enterprise management as claimed in claim 4, It is characterized in that In the step E, the expected complete data log-likelihood function is used to calculate the expected value of the first hidden state, the expected value of the second hidden state, and the expected value of the third hidden state; ； in, is the expected complete data log-likelihood function; are model parameters of the EM model; is the estimated value of the model parameters of the EM model at the kth iteration; Indicates that at the kth iteration, given the observed data and estimated values Under the condition of The conditional probability distribution of ; i is 1 or 2 or 3; is the first hidden state; is the observed data in the subject-related word matrix; is the second hidden state; Associating the event elements with the observation data in the subject matrix; is the third hidden state; Associating observation data in a thematic matrix with the logical elements; is the posterior probability of the first hidden state; is the posterior probability of the second hidden state; is the posterior probability of the third hidden state.

6. The process service system based on enterprise management according to claim 5, It is characterized in that In the M step, the model parameters of the EM model are By maximizing the expected complete data log-likelihood function To update; ； in, After the kth iteration, the maximum expected complete data log-likelihood function is Get the maximum value.

7. The process service system based on enterprise management according to claim 1, It is characterized in that The process service system based on enterprise management also includes: A cloud deployment unit, used for the enterprise to deploy and use the enterprise management-based process service system in a cloud environment; A local deployment unit, used for the enterprise to deploy and use the enterprise management-based process service system on a local server; A hybrid deployment unit is used for the enterprise to combine cloud deployment and local deployment.

8. The process service system based on enterprise management according to claim 1, It is characterized in that The process service system based on enterprise management also includes: A financial management unit, which includes an enterprise accounting module, an enterprise fund management module, an enterprise cost control module, and an enterprise financial statement preparation module; A supply chain management unit, wherein the supply chain management unit includes a supplier management module, a procurement management module and an inventory management module.

9. The process service system based on enterprise management according to claim 1, It is characterized in that The process service system based on enterprise management also includes: A data and document management unit, used to manage and store data and documents generated in the process of designing the business management process model of the enterprise; A version control and change management unit is used to track and manage updated versions of the business management process model of the enterprise.

10. The process service system based on enterprise management according to claim 1, It is characterized in that The process service system based on enterprise management is integrated with other information systems of the enterprise; wherein, the other information systems include order management system, warehouse management system, supply chain management system, enterprise resource planning system, supplier relationship management system, quality management system, risk management system and product life cycle management system.

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