CN116810804A - Full-automatic business flow method integrating software robot and humanoid robot - Google Patents

Abstract

The invention relates to a full-automatic business process method for integrating a software robot and a humanoid robot, which belongs to the technical field of software and comprises the following steps: acquiring an input task demand instruction based on a software robot, and converting the task demand instruction into an execution instruction of the humanoid robot operation; the software robot includes: a presentation layer, a service layer, a data layer, and an application layer; the representation layer provides an external interaction window and displays the running state of the humanoid robot; the service layer is connected with the presentation layer and is used for responding to the service request sent by the presentation layer and distributing the service to the downstream; the data layer is connected with the service layer and is used for accessing and storing data; the application layer is connected with the data layer and is used for outputting an execution instruction to the humanoid robot; the humanoid robot completes the operation based on the execution instruction and feeds back the running state to the software robot. The problem of low degree of automation of the traditional robot is solved by adopting the fusion of the software robot and the humanoid robot, and the degree of automation of the operation flow is effectively improved.

Description

A fully automated business process method integrating software robots and humanoid robots

Technical field

The invention relates to the field of software technology, and in particular to a fully automatic business process method that integrates software robots and humanoid robots.

Background technique

During the operation and use of multiple software, people found that these software have the disadvantages of simple process rules and high repetition rate, and consume a lot of time and labor. In order to simplify the human production process and realize the automated execution of the process, Robotic Process Automation RPA (Robotic Process Automation) Process Automation) technology came into being. For example, Reference [1] designed an RPA software process automation robot, which completes the analysis and compilation of system data through a unified interface, and enables the robot to automatically execute steps according to the established process. Reference [2] designed a robotic process automation cloud service system and implementation method, which uses dynamic allocation of robots to execute a large number of user processes, solving the problem of robot resource limitations and simplifying the use costs of front-line business users. Reference [3] starts from the connotation of design morphology, combines bionic design theory, and integrates multi-disciplinary knowledge to assist the development of new military bionic robots.

At present, the traditional process automation task management method has high learning costs for business personnel, consumes a lot of manpower and material resources, and takes a long time. Using RPA to replace manpower to complete software automation work can better solve this problem. At the same time, the risk of injury to workers by robots in traditional manufacturing is a key factor affecting safe production. In a dynamic and uncertain human-computer interaction environment, through artificial intelligence means, RPA is used to automatically guide humanoid robots to execute business processes and promote advanced The integrated development of artificial intelligence technology and human-computer interaction technology has broad application prospects in realizing human-computer integration and safe collaboration, see reference [4].

Since software robots are oriented towards information systems, they undertake human-related processes and establish automated businesses in the digital world. Humanoid robots have the advantage of versatility and adopt the characteristics of bionic technology to replace humans in completing work tasks in the physical world. Furthermore, if the business processes of software robots and humanoid robots can be integrated, the advantages of the two different robots can be combined, while also being able to adapt to the fully automatic operation needs of future enterprises in business processes.

references:

[1] Zhang Jiemin. RPA software process automation robot [D]. South China University of Technology, 2021.

[2] Chinese patent application publication number CN114816730A, name: A robotic process automation cloud service system and implementation method, application publication date: 2022-07-29.

[3] Ma Jin, Hu Jie, Zhu Guoniu, et al. Research status and progress of military bionic robots based on design morphology [J]. Packaging Engineering Art Edition, 2022, 43(4): 1-11.

[4] Zheng Pai, Li Chengxi, Yin Yue, etc. Augmented reality-assisted mutual recognition human-computer safety interaction system [J]. Journal of Mechanical Engineering: Issue 06, 2023.

Contents of the invention

The purpose of the present invention is to provide a fully automatic business process method that integrates software robots and humanoid robots.

In order to achieve the above-mentioned object of the invention, the present invention provides a fully automatic business process method that integrates software robots and humanoid robots, including:

S1. Obtain the input task requirement instructions based on the software robot, and convert the task requirement instructions into execution instructions for controlling the operation of the humanoid robot; wherein the software robot includes: presentation layer, business layer, data layer and application layer ;

The presentation layer provides an external interaction window for the software robot and visually displays the operating status of the humanoid robot;

The business layer is connected to the presentation layer and is used to respond to service requests issued by the presentation layer and distribute services to downstream;

The data layer is connected to the business layer and is used to access and store data;

The application layer is connected to the data layer and is used to output the execution instructions to the humanoid robot;

S2. The humanoid robot completes the job based on the execution instructions and feeds back its running status to the software robot.

According to one aspect of the present invention, in step S1, the presentation layer includes: a front-end UI framework and a visual display module;

The front-end UI framework is communicatively connected to the visual display module and the business layer respectively, wherein the front-end UI framework includes: a communication mechanism for establishing data transmission, an external window and a running script;

The visual display module includes: a visual input window for inputting task requirement instructions, a visual operation display window for displaying the operating status of the humanoid robot, and a visualization for displaying the business processes of the software robot and the humanoid robot. Business planning window.

According to one aspect of the present invention, the business layer includes: a logical transformation module, a business distribution module and a basic service module;

The logical conversion module includes: a read and write instruction component, a picture capture component and an external device screen projection component;

The business distribution module includes: a logical flow preset component used to determine the order and flow of instruction execution;

The basic service module includes: a plurality of general functional components for performing general functions of the software robot.

According to one aspect of the present invention, the data layer includes: a data access component, a data storage component and a picture management component;

The data access component is used to add, delete, modify and query database data;

The data storage component is used for persistent storage operations of data;

The picture management component is used to uniformly save the obtained pictures into a folder with a specified path.

According to one aspect of the present invention, the application layer includes: a business control component, a response processing component and a bionic form selection component;

The business control component is used to perform parameter analysis on the distributed execution instructions and convert them into a data format readable by the humanoid robot;

The response processing component is configured to receive the parameters parsed by the business control component in batches according to the process, and convert them into the first action instructions of the humanoid robot;

The bionic form selection component is used to obtain the bionic form parameters of the humanoid robot and store them in a database, and is used to receive the first action instruction and compare it with the bionic form parameters in the database to match the humanoid robot. The best bionic form and output the second action command corresponding to the bionic form.

According to one aspect of the invention, the software robot further includes: a feedback layer;

The feedback layer is connected to the application layer and the presentation layer respectively, and is used to collect the running status of the humanoid robot and feed it back to the presentation layer for visual display.

According to one aspect of the present invention, the feedback layer includes: an error mechanism module and a workflow generation module;

The error mechanism module includes: a task recording component for recording the task completion probability and completion status of the humanoid robot, an anomaly detection component for performing anomaly analysis on the task records in the task recording component, and A big data analysis component that analyzes anomalies detected by the anomaly detection component;

The workflow generation module is used to streamline the task execution process of the humanoid robot to generate a streamlined data format.

According to one aspect of the invention, it also includes:

S3. Evaluate the interaction rapport between the software robot and the humanoid robot and the user, and evaluate the application efficiency of the entire business process of the software robot. Based on the interaction rapport and the application efficiency, evaluate the presentation layer, all Optimize at least one of the business layer, the data layer, the application layer and the feedback layer.

According to one aspect of the present invention, in step S6, in the step of evaluating the interaction rapport between the software robot and the humanoid robot and the user, the robot quotient formula is used to obtain the interaction rapport, wherein the robot quotient formula represents for:

;

in, Belongs to the determinable criterion parameter set/> ;

In step S6, in the step of evaluating the application efficiency of the entire business process of the software robot, the application efficiency formula is used for evaluation, wherein the application efficiency formula is expressed as:

;

in, is a weight set, expressed as/> ,/> is the fuzzy relationship matrix.

According to one solution of the present invention, the present invention uses the software robot's flexible web page capture and system screenshot functions, and through the front-end UI call, to quickly and conveniently realize operation visualization, improve the display level of process automation processing, and at the same time reduce the complexity of the design automation process degree.

According to one solution of the present invention, the screen capture technology of the present invention uses handles to record changes in data addresses. Windows also provides relevant APIs to obtain these window handle functions, realizing the reading of screenshot data by corresponding functional modules of the application layer. , delete, parse and other operations without accessing the underlying database or interface. It is suitable for legacy systems that cannot be opened or accessed, and is more versatile.

According to one solution of the present invention, the present invention combines the software system with the physical system. Through RPA, it not only realizes the automation of software operations, but also controls the operation of the humanoid robot platform. Through the screen projection technology of the mobile terminal, the mobile terminal can be remotely monitored at any time, Control and view the completion of business by humanoid robots, which improves the automation of multi-software linkage and operation processes.

According to one solution of the present invention, the fully automatic business process method designed by the present invention with intelligent technology as the core realizes the function of automatically operating bionic robots in the information system to complete business. The humanoid robot replaces human power to complete tasks under complex and dangerous conditions. The preset tasks integrate human-computer interaction, bionics, and computer technology to enhance the innovation of the automation business.

According to one solution of the present invention, the feedback mechanism of the present invention realizes visual display on the front end, which facilitates operators to promptly respond to emergencies and process according to the recorded workflow, adjust business processes, improves the accuracy of fully automatic business execution, and A redundant backup solution is provided to adjust the parameters to be parsed in a timely manner.

According to one aspect of the present invention, by infiltrating software robots into the entire business process, and through the communication connection between humanoid robots and software robots, different systems can collaborate to complete corresponding processes, activities or tasks, and Error reports can be automatically recorded and results can be delivered after manual management is fed back, effectively improving the automation level and business process efficiency of the present invention.

Description of the drawings

Figure 1 is a block diagram of steps of a fully automatic business process method according to an embodiment of the present invention;

Figure 2 is a flow chart of a fully automatic business process method according to an embodiment of the present invention.

Detailed ways

In order to explain the technical solutions in the embodiments of the present invention more clearly, a further detailed introduction will be given below with reference to the accompanying drawings.

As shown in Figure 1 and Figure 2, according to an embodiment of the present invention, a fully automatic business process method that integrates software robots and humanoid robots includes:

S1. Obtain the input task requirement instructions based on the software robot, and convert the task requirement instructions into execution instructions for controlling the operation of the humanoid robot; where the software robot includes: presentation layer, business layer, data layer and application layer;

The presentation layer provides an external interaction window for the software robot and visually displays the running status of the humanoid robot;

The business layer is connected to the presentation layer and is used to respond to business requests issued by the presentation layer and distribute services to downstream;

The data layer is connected to the business layer and is used to access and store data;

The application layer is connected to the data layer and used to output execution instructions to the humanoid robot;

S2. The humanoid robot completes the job based on the execution instructions and feeds back its running status to the software robot.

As shown in Figure 1 and Figure 2, according to an embodiment of the present invention, in step S1, the presentation layer includes: a front-end UI framework and a visual display module; in this implementation, the presentation layer is mainly used for information system input instructions. The front-end UI framework, as the underlying module of the communication mechanism between modules, is equivalent to the external window of the software robot.

In this implementation, the front-end UI framework is connected to the visual display module and the business layer respectively. The front-end UI framework includes: a communication mechanism for establishing data transmission, an external window and a running script; the visual display module includes: for tasks A visual input window for inputting demand instructions, a visual operation display window for displaying the running status of the humanoid robot, and a visual business planning window for displaying the business processes of software robots and humanoid robots. The set visual display module facilitates the overall planning and intuitive interpretation of business instructions.

As shown in Figure 1 and Figure 2, according to an embodiment of the present invention, the business layer is a bridge for interaction between the front-end presentation layer and business applications, and is responsible for functions such as business request and distribution. In this embodiment, the business layer includes: a logical transformation module, a business distribution module and a basic service module; among which, the logical transformation module is used to transform the manually input task requirement instructions in the presentation layer into instructions that can be understood by the computer, using software The robot connects the business planning front-end system to the database and stores the converted instructions, which is the basis for subsequent business calls, processing, and responses. In this embodiment, the logic conversion module includes: a reading and writing instruction component, a picture capture component and an external device screen projection component; wherein the reading and writing instruction component is a component used to convert manually input task requirement instructions into computer instructions, so as to Further implement the image capture component to perform corresponding operations based on instructions. In this embodiment, the external device screen projection component can be configured to be used for screen projection of an Android device. Specifically, the external device screen projection component realizes communication connection with the Android device through communication components such as WiFi and Bluetooth, wherein the external device screen projection component The screen component supports the configuration of multiple attributes of the screen projection window, including the configuration of the size, rotation angle, window top, computer control, full-screen display, etc. Through the screen projection function, you can capture the picture information of the mobile app and realize automated process control on the mobile terminal. Of course, the external device screen projection component can also be adapted to connect to other types of mobile devices to facilitate the access of different devices. In addition, in this embodiment, the external device screen projection component can also be configured to be connected to multiple/multiple mobile devices at the same time, so as to be suitable for access and use by multiple mobile devices.

In this embodiment, the picture capture component is used to realize web page capture and system screenshot functions. Specifically, the one-click capture effect can be achieved by setting shortcut keys. In this implementation, the shortcut key settings are stored in the front-end UI project, and the Windows screenshot tool is called through a function to implement the screenshot operation. In this embodiment, during the task planning stage, if the assigned task is in image format, the picture capture component can automatically capture the text information and convert it into computer instructions to facilitate the control of the humanoid robot, which provides great convenience for business planning and distribution. .

In this embodiment, the service distribution module includes: a logical flow preset component used to determine the execution order and flow of instructions; wherein the logical flow preset component determines the execution order and flow of instructions based on the logic flow chart.

In this embodiment, the basic service module includes: a plurality of general functional components for performing general functions of the software robot. Among them, multiple common functional components are integrated into the basic service module in a pre-packaged manner. For example, the common functional components include file upload and download functions. Through the above settings, the basic service module is integrated into the basic service module in a pre-encapsulated manner, which not only improves the efficiency of coding, but also improves the portability and reusability of the code.

As shown in Figure 1 and Figure 2, according to an embodiment of the present invention, the data layer mainly accesses and stores data. The core function is to enter the OS table file data uploaded by the user into the database, define and compile SQL statements, and data Add, delete, modify, check, and download forms. In this implementation, the data layer includes: a data access component, a data storage component and a picture management component; among which, the data access component is used to add, delete, modify and query database data; the data storage component is used to perform operations on data. Persistent storage operation; in this implementation, the data storage component can perform fixed storage of commonly used instructions, and can also perform temporary storage of new instructions input in the presentation layer. In this implementation, the data storage component uses MySQL to implement persistent storage operations on data. The data sources include MySQL and OS table files, where the OS table files include three file formats: xls, xlsx, and csv. The picture management component is used to uniformly save the acquired pictures to a folder with a specified path, making it easy to read and operate when processing business calls.

As shown in Figure 1 and Figure 2, according to an embodiment of the present invention, the application layer is used to output the business analysis generated by the aforementioned process to the humanoid robot, and perform functions such as action process disassembly, reading and execution, as An interactive bridge between software robots and humanoid robots. In this implementation, the application layer includes: a business control component, a response processing component, and a bionic form selection component; among which, the business control component is used to perform parameter analysis on the distributed business logic and convert it into data that can be read by the humanoid robot. Format; the response processing component is used to receive the parameters parsed by the business control component in batches according to the process, and convert them into the first action instructions of the humanoid robot; the bionic form selection component is used to obtain the bionic form parameters of the humanoid robot and store them in the database. and for receiving the first action instruction and comparing it with the bionic form parameters in the database, matching the best bionic form for the humanoid robot and outputting the second action instruction corresponding to the bionic form. In this embodiment, the bionic morphology selection component is used to obtain the bionic morphology parameters of the humanoid robot and store them in the database. It adopts the design morphology in the biological excitation mode by integrating the bionics method, and extracts the behavior in the biological field excitation source. , functions and principles and other "state" elements, use mathematical modeling and other methods to analyze and explore the actions or motion mechanisms contained in them to obtain a series of formulas, parameters, statistical probability and other data (for example, when the wrist grabs an object bending angle, etc.), the bionic morphological parameters are generated and stored in the database.

As shown in conjunction with Figures 1 and 2, according to an embodiment of the present invention, the software robot also includes: a feedback layer; wherein the feedback layer is connected to the application layer and the presentation layer respectively, and is used to collect the operating status of the humanoid robot and provide feedback to the presentation layer for visual display. In this implementation, the feedback layer includes: an error mechanism module and a workflow generation module. In this implementation, the error mechanism module includes: a task recording component for recording the task completion probability and completion status of the humanoid robot, an anomaly detection component for performing anomaly analysis on the task records in the task recording component, and A big data analysis component that analyzes anomalies detected by the anomaly detection component; among them, the anomaly detection component is used to analyze sudden and uncontrollable factors that cause errors in fully automated business processes, and feeds back to the visual display module of the front-end presentation layer for visual analysis . The big data analysis component is used to provide emergency prompts and processing of exceptions that lead to error mechanisms, improving the accuracy of fully automated task execution.

In this embodiment, the workflow generation module is used to streamline the task execution process of the humanoid robot to generate a streamlined data format. Among them, workflow technology is a set of technical solutions based on business process management theory. It is used to control and manage the automatic transfer of documents between multiple computers. It uses "flow" and "list" methods to support robot script development. .

To further illustrate this solution, an example is provided.

In this implementation mode, the realization of automatic sorting and grabbing of express delivery in a logistics warehouse is taken as an example for explanation. The traditional sorting machine control method is mainly the pulse signal tracking method, which will not be described in detail here. When using the fully automatic business process method that integrates software robots and humanoid robots of the present invention, it includes:

(1) Use the external device screen projection component in the business layer to project the presentation layer of the software robot on the mobile app for display, and visually display the corresponding express delivery information through the presentation layer;

(2) The built business layer can take screenshots of the express information displayed in the presentation layer based on the user's operations on the mobile app, and automatically capture the express information through the image capture function (such as light character recognition technology in natural language processing) ;

(3) The business layer automatically classifies the large amount of captured data information in the form of "tables" and writes it to the database of the data layer in the form of xls for storage; and reads relevant data of express delivery information in the business layer. Determine the type of express delivery, weight, size, destination and other information, generate corresponding execution instructions based on the generation logic conversion module, and sort out the execution order of the execution instructions based on the business distribution module;

(4) The software robot receives the execution instructions issued by the business layer through the application layer, and according to the received execution instructions, automatically selects the action form according to the needs to complete the sorting and grabbing process of the humanoid robot;

(5) The feedback layer of the software robot records the header information, window class name, save path, etc. in the form of a "stream" every time the humanoid robot completes an express delivery grab and sorting, to facilitate later manual management and check the sorting situation. and check for deficiencies.

As shown in conjunction with Figures 1 and 2, according to an embodiment of the present invention, a fully automatic business process method that integrates software robots and humanoid robots also includes:

S3. Evaluate the interaction rapport between software robots and humanoid robots and users, and evaluate the application efficiency of the entire business process of software robots. Based on the interaction rapport and application efficiency, evaluate the presentation layer, business layer, data layer, application layer and feedback layer. Optimize at least one of them. In this implementation, the evaluation mechanism (module) of interaction rapport can be integrated and implemented in the feedback layer. It is used to evaluate the accuracy of instructions and tasks of the humanoid robot through the defined robot quotient after the application layer outputs the bionic form instructions. Evaluate the degree of completion.

As shown in FIG. 1 and FIG. 2 , according to an embodiment of the present invention, the performance ability of humans and robots when collaborating can be defined as the ability to effectively communicate, coordinate, and cooperate between the two. Among them, "human" refers to manual task planning and instruction input, and "robot" refers to the final execution instructions output to the humanoid robot, which includes the following aspects:

(1) Communication ability (CA): Humans and robots need to be able to effectively communicate information, including language, images, sounds and other forms;

(2) Task assignment ability (TAA): Humans and robots need to be able to reasonably allocate tasks based on their respective abilities and task requirements;

(3) Adaptive ability (AA): Humans and robots need to be able to adapt to different environments and task requirements, and flexibly adjust their behaviors;

(4) Mutual understanding ability (MUA): Humans and robots need to be able to understand each other’s intentions and behaviors in order to collaborate better;

(5) Efficiency and effectiveness (EE): Humans and robots need to be able to complete tasks efficiently and achieve the expected results.

The above five types of capabilities are the main aspects of human-machine collaboration. Taking them as basic elements, combined with the concept of fuzzy mathematics, we can quantify the factors that are difficult to determine the boundaries and difficult to quantitatively analyze in multi-constraint and multi-objective systems. The system conducts comprehensive evaluation.

Further, in step S6, in the step of evaluating the interaction rapport between the software robot and the humanoid robot and the user, the robot quotient formula is used to reflect the ability of humans and robots to interact and evaluate the rapport between humans and robots. (i.e. interaction rapport). Among them, the robot dealer formula is expressed as:

;

in, Belongs to the determinable criterion parameter set/> ;{Excellent, good, average, poor} belongs to the evaluation parameter set (judgment set)/> , then U reaches/> The fuzzy relationship matrix M can be expressed as: ,/> Expression factors/> Relative to evaluation parameters/> degree of affiliation.

In step S6, in the step of evaluating the application efficiency of the entire business process of the software robot, the application efficiency formula is used for evaluation, in which the application efficiency formula is selected based on the characteristics of the software robot. Weighted average operator, the weight set is , the fuzzy relationship matrix is R. To evaluate the application performance of the full business process automation system, W can be calculated: the application performance formula is expressed as:

;

;

Among them, A is the weight set, expressed as , R is the fuzzy relationship matrix.

Through the above settings, the weighted average operator multiplies the weight vector and the fuzzy relationship matrix, reflecting the mutual influence of various factors in the evaluation results, which can clearly reflect the role of the weight coefficient. Making full use of R's information embodies synthesis in the true sense.

Through the above settings and the use of quantifiable robot dealers, the quantitative evaluation of the completion of the entire business process in the aforementioned five aspects is achieved, which not only helps process optimization, but also helps quantitatively evaluate the business process.

The above contents are only examples of specific solutions of the present invention. For equipment and structures that are not described in detail, it should be understood that general equipment and general methods existing in the art are used for implementation.

The above is only one solution of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and changes. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention shall be included in the protection scope of the present invention.

Claims (9)

1. A fully automatic business process method that integrates software robots and humanoid robots, which is characterized by including: S1. Obtain the input task requirement instructions based on the software robot, and convert the task requirement instructions into execution instructions for controlling the operation of the humanoid robot; wherein the software robot includes: presentation layer, business layer, data layer and application layer ; The presentation layer provides an external interaction window for the software robot and visually displays the operating status of the humanoid robot; The business layer is connected to the presentation layer and is used to respond to service requests issued by the presentation layer and distribute services to downstream; The data layer is connected to the business layer and is used to access and store data; The application layer is connected to the data layer and is used to output the execution instructions to the humanoid robot; S2. The humanoid robot completes the job based on the execution instructions and feeds back its running status to the software robot. 2. The fully automatic business process method according to claim 1, characterized in that, in step S1, the presentation layer includes: a front-end UI framework and a visual display module; The front-end UI framework is communicatively connected to the visual display module and the business layer respectively, wherein the front-end UI framework includes: a communication mechanism for establishing data transmission, an external window and a running script; The visual display module includes: a visual input window for inputting task requirement instructions, a visual operation display window for displaying the operating status of the humanoid robot, and a visualization for displaying the business processes of the software robot and the humanoid robot. Business planning window. 3. The fully automatic business process method according to claim 2, characterized in that the business layer includes: a logical transformation module, a business distribution module and a basic service module; The logical conversion module includes: a read and write instruction component, a picture capture component and an external device screen projection component; The business distribution module includes: a logical flow preset component used to determine the order and flow of instruction execution; The basic service module includes: a plurality of general functional components for performing general functions of the software robot. 4. The fully automatic business process method according to claim 3, characterized in that the data layer includes: a data access component, a data storage component and a picture management component; The data access component is used to add, delete, modify and query database data; The data storage component is used for persistent storage operations of data; The picture management component is used to uniformly save the obtained pictures into a folder with a specified path. 5. The fully automatic business process method according to claim 4, characterized in that the application layer includes: a business control component, a response processing component and a bionic form selection component; The business control component is used to perform parameter analysis on the distributed execution instructions and convert them into a data format readable by the humanoid robot; The response processing component is configured to receive the parameters parsed by the business control component in batches according to the process, and convert them into the first action instructions of the humanoid robot; The bionic form selection component is used to obtain the bionic form parameters of the humanoid robot and store them in a database, and is used to receive the first action instruction and compare it with the bionic form parameters in the database to match the humanoid robot. The best bionic form and output the second action command corresponding to the bionic form. 6. The fully automatic business process method according to claim 5, characterized in that the software robot further includes: a feedback layer; The feedback layer is connected to the application layer and the presentation layer respectively, and is used to collect the running status of the humanoid robot and feed it back to the presentation layer for visual display. 7. The fully automatic business process method according to claim 6, characterized in that the feedback layer includes: an error mechanism module and a workflow generation module; The error mechanism module includes: a task recording component for recording the task completion probability and completion status of the humanoid robot, an anomaly detection component for performing anomaly analysis on the task records in the task recording component, and A big data analysis component that analyzes anomalies detected by the anomaly detection component; The workflow generation module is used to streamline the task execution process of the humanoid robot to generate a streamlined data format. 8. The fully automatic business process method according to claim 7, further comprising: S3. Evaluate the interaction rapport between the software robot and the humanoid robot and the user, and evaluate the application efficiency of the entire business process of the software robot. Based on the interaction rapport and the application efficiency, evaluate the presentation layer, all Optimize at least one of the business layer, the data layer, the application layer and the feedback layer. 9. The fully automatic business process method according to claim 8, characterized in that, in step S6, in the step of evaluating the interaction harmony between the software robot and the humanoid robot and the user, a robot quotient formula is used to obtain the Interaction rapport, where the robot quotient formula is expressed as: ; in, Belongs to the determinable criterion parameter set/> ; In step S6, in the step of evaluating the application efficiency of the entire business process of the software robot, the application efficiency formula is used for evaluation, wherein the application efficiency formula is expressed as: ; in, is a weight set, expressed as/> ,/> is the fuzzy relationship matrix.