CN116225725A - Flow configuration method and system based on RPA robot - Google Patents
Flow configuration method and system based on RPA robot Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
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- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/3017—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system is implementing multitasking
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3466—Performance evaluation by tracing or monitoring
- G06F11/3476—Data logging
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/54—Interprogram communication
- G06F9/542—Event management; Broadcasting; Multicasting; Notifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2209/00—Indexing scheme relating to G06F9/00
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- G06F2209/5017—Task decomposition
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2209/00—Indexing scheme relating to G06F9/00
- G06F2209/50—Indexing scheme relating to G06F9/50
- G06F2209/508—Monitor
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- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention belongs to the technical field of RPA, and provides a flow configuration method and a system based on an RPA robot, wherein the RPA robot is directly connected with a main controller through a network; the main controller packages the robot into a plurality of executing parts, and the executing parts execute different events respectively; creating a process by a user, and dividing the process into a plurality of sub-items by a main controller; the processor refines and disassembles the sub-items into a plurality of events to form a flow item tree; determining the type of the event and the number of the events based on the flow item tree, and determining the type of an executing part to be called; executing all events of the flow item tree with the fastest efficiency through the execution part, reporting the executed result after completing all events, and analyzing and recording the executed result; the execution process of the process item tree is optimized based on analysis and recording of the execution result, the execution efficiency of the process is effectively improved, and a general process user can finish rapid scheduling and deployment of the RPA robot through the main controller.
Description
Technical Field
The invention relates to the technical field of RPA, in particular to a flow configuration method and system based on an RPA robot.
Background
RPA (Robotic Process Automation), robot flow automation, automatically performs the system operation flow by mimicking the manual operation of a user on a computer. The RPA solves the daily tedious and repetitive tasks of enterprises, simultaneously releases the labor force of staff of the enterprises, and enables the staff to engage in more creative labor. The RPA technology provides a visual flow editor, a developer can develop the visual flow editor in a dragging mode, and a flow script capable of being automatically executed in an enterprise business system is designed; in the script execution process, actions such as button clicking, keyboard input, file creation, webpage jumping, logic judgment and the like of a human are simulated by means of simulating keyboard and mouse operations, calling an operating system interface, analyzing a webpage structure and the like. The RPA technology realizes the cooperative work of multiple systems, and the conversion from strong coupling to uncoupled coupling of the systems, and solves the problems of data transmission operation and the like of the split type service system.
A server receives a service call request of an RPA flow execution end in a traditional RPA robot scheduling process, the server responds to a communication message of a call response, a call structure in the communication message is returned to the RPA flow execution end, although efficiency and performance of server communication of an RPA flow control end are improved, programs designed in the whole scheduling process are too many, in a multitasking execution process, a plurality of RPA robots are mutually coupled, a phenomenon of entanglement is more and more serious, scheduling speed and execution efficiency of the RPA are seriously affected, and when the flow is complicated, the number of the executed robots is seriously increased, so that the code quantity is increased, the state processing mode code of the traditional robot is complex, the stability of a control system is affected after the code quantity is increased, and the circulation efficiency of the robot is affected.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention provides a flow configuration method and a flow configuration system based on an RPA robot, which are used for solving the problems in the background art.
(II) technical scheme
In order to achieve the above purpose, the invention is realized by the following technical scheme: a flow configuration method based on an RPA robot comprises the following steps:
s1: the RPA robot is directly connected with the main controller through a network;
s2: the main controller packages the robot into a plurality of executing parts, and the executing parts execute different events respectively;
s3: creating a process by a user, and dividing the process into a plurality of sub-items by a main controller;
s4: the processor refines and disassembles the sub-items into a plurality of events to form a flow item tree;
s5: determining the type of the event and the number of the events based on the flow item tree, and determining the type of an executing part to be called;
s6: executing all events of the flow item tree with the fastest efficiency through the execution part, reporting the executed result after completing all events, and analyzing and recording the executed result;
s7: and optimizing the execution flow of the flow item tree based on the analysis and the record of the execution result.
Further preferably, the process in S2 includes a plurality of nodes, and a plurality of the nodes include a plurality of events, each event may be regarded as an aggregate of a plurality of minimum execution units, and a single execution unit may complete all the processes of the events.
As a further preferable aspect, the step S3 further includes the following steps before the user creates the procedure:
m1: a user establishes a personal account, a personal common flow task is established through a designer, and a processor divides the flow into a plurality of sub-items;
m2: the main controller refines and disassembles the sub-items into a plurality of events to form a flow item tree;
m3: determining the type of the event and the number of the events based on the flow item tree, and determining the type and the number of the execution parts to be called;
m4: and finishing the previewing of all events of the execution flow project tree through the execution part, recording the RPA robot mark in the executor used by each flow task and specific matters executed by the robot after finishing all the events, generating calling information of the flow task and storing the calling information.
As a further preferred aspect, when the flow to be executed by the user belongs to the existing flow, the created flow is directly invoked, and the main controller directly uses the stored invocation information to execute the flow.
As a further preferred aspect, the executing all event steps of the flow item tree in S6 includes:
s61: opening a corresponding execution part according to the determined execution part type;
s62: after the execution of a certain type of event is completed, analyzing the allowance of all the events of the execution part, and continuing auxiliary execution when the execution part for completing the event adds the event of the allowance maximum execution part;
after the execution part with the largest margin is added with a new execution part in the step S62, the margin of the execution part is halved;
s63: after all times are completed, the results of completion of all events, the times of completion of each type of time, and the total time of completion of all events are recorded.
As a further preferred aspect, an RPA robot-based flow configuration system is configured to implement the above-mentioned RPA robot-based flow configuration method, where the RPA robot-based flow configuration system includes:
the main controller is used for assisting a user in establishing an account, controlling and managing the flow by the user, packaging the robot into a plurality of execution parts, assisting the user in establishing the flow, and dividing the flow into a plurality of sub-items according to flow nodes;
the designer is used for editing detailed instructions of the process and sending the process to the main controller;
the processor is used for further disassembling the sub-items separated from the flow by the main controller into a plurality of events according to the nodes and forming a flow item tree;
an execution module; the method comprises the steps of determining the type of the event and the number of each event according to a flow item tree, determining the type of an executing part to be called, and executing all the events of the flow item tree with the fastest efficiency;
the analysis optimizing module is used for reporting the execution result, analyzing and recording the execution result, and optimizing the execution flow of the flow project tree according to the analysis and recording of the execution result;
and the memory is used for storing the user account information.
As a further preference, the user also includes the following process in creating a personal account by the master controller:
a user establishes a personal account, a personal common flow task is established through a designer, and a processor divides the flow into a plurality of sub-items;
the main controller refines and disassembles the sub-items into a plurality of events to form a flow item tree;
determining the type of the event and the number of the events based on the flow item tree, and determining the type and the number of the execution parts to be called;
and finishing the previewing of all events of the execution flow project tree through the execution part, recording the RPA robot mark in the executor used by each flow task and specific matters executed by the robot after finishing all the events, generating calling information of the flow task and storing the calling information.
As a further preferred aspect, when the flow to be executed by the user belongs to the existing flow, the created flow is directly invoked, and the main controller directly uses the stored invocation information to execute the flow.
As a further preference, the execution module specifically comprises:
opening a corresponding execution part according to the determined execution part type;
after the execution of a certain type of event is completed, analyzing the allowance of all the events of the execution part, and continuing auxiliary execution when the execution part for completing the event adds the event of the allowance maximum execution part;
after the execution part with the largest margin is added with a new execution part in the step S62, the margin of the execution part is halved;
after all times are completed, the results of completion of all events, the times of completion of each type of time, and the total time of completion of all events are recorded.
As a further preference, the main controller includes:
the flow management module is used for managing the user account and the commonly used flow task information created in the user account;
a flow analysis module for analyzing the type of the flow splitting event, the execution time of each group of time and the execution result,
the event arrangement module is used for arranging all events of the flow to be executed in sequence, and calculating the type of the event and the position of the event execution required to be executed next by the execution part of the completed event when the event is executed.
(III) beneficial effects
The invention provides a flow configuration method and a system based on an RPA robot, which have the following beneficial effects:
according to the invention, the robots are packaged into a plurality of execution parts through the main controller, the execution parts respectively execute different events, so that each robot is independent of each other, a user creates a process, the main controller divides the process into a plurality of sub-projects, the processor refines the sub-projects into a plurality of events to form a process project tree, the execution parts and the event types are mutually corresponding to each other and are then executed, the execution efficiency of the process is effectively improved, after the execution of an event of a certain type is completed, the allowance of all the execution parts is analyzed, the execution part of the completed event is added into the event of the execution part with the largest allowance, the auxiliary execution is continued, the utilization rate of the robots and the execution efficiency of the event are further improved, the execution efficiency of the process is further improved, meanwhile, the user can set the commonly used process by creating accounts, and the user can directly use the created process when in subsequent use, and the user can rapidly schedule and deploy the RPA robots through the main controller.
Drawings
FIG. 1 is a flow chart of a flow configuration method based on an RPA robot;
FIG. 2 is a schematic diagram illustrating a user-created process of the present invention.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the drawings are exemplary only for explaining the present invention and are not to be construed as limiting the present invention.
Referring to fig. 1 and 2, an embodiment of the present invention provides a flow configuration system based on an RPA robot, the system includes:
the main controller is used for assisting a user in establishing an account, controlling and managing the flow by the user, packaging the robot into a plurality of execution parts, assisting the user in establishing the flow, and dividing the flow into a plurality of sub-items according to flow nodes;
the designer is used for editing detailed instructions of the process and sending the process to the main controller;
the processor is used for further disassembling the sub-items separated from the flow by the main controller into a plurality of events according to the nodes and forming a flow item tree;
referring to fig. 2, after the process is divided into a plurality of sub-projects, the processor disassembles the sub-projects into a plurality of events again, wherein each group of events is composed of a plurality of minimum execution units, the minimum execution units composing the events are connected, for example, a certain position is sent after one end of data is fetched, a web page picture is selected, and interception and the like belong to a time, and a series of operations are performed during the execution of the events. And the execution events are all independently running and are not interfered with each other.
An execution module; the method comprises the steps of determining the type of the event and the number of each event according to a flow item tree, determining the type of an executing part to be called, and executing all the events of the flow item tree with the fastest efficiency;
specifically, when executing a certain flow item tree, all events in the flow item tree have the same part and different parts, the same events all belong to the same type of events, at this time, all the same type of events are executed by one executing part, because the number of the events of all types is impossible to be the same, and each group of time is different due to the fact that the minimum executing units formed by the events are different, the time for processing the events is also different, and further the time required for processing a plurality of types of events in the flow item tree is also different, after all the distributed events of a certain type are completely processed, the main controller analyzes and calculates the type of event with the most residual completion time in all the incomplete types of events, and the executing part with the most residual completion time can continue to execute the type of event with the most residual completion time, and the executing point is the middle position of the event allowance in the type with the most residual completion time.
For example, a certain flow item tree is finally disassembled into 10 types of events, the type 8 events are completed first, the type 2 events have the most allowance, the type 2 has 8 events which are not completed yet, if the type 2 executing part is executing the events except the remaining 8 events, the type 8 executing part starts to execute from the 5 th event of executing the remaining 8 events of the type 2, if the type 2 executing part is executing the first event of the remaining 8 events, and the type 8 executing part starts to execute from the 6 th event of executing the remaining 8 events of the type 2.
The analysis optimizing module is used for reporting the execution result, analyzing and recording the execution result, and optimizing the execution flow of the flow project tree according to the analysis and recording of the execution result;
and the memory is used for storing the user account information.
Further, the user creating a personal account through the main controller further comprises the following procedures:
a user establishes a personal account, a personal common flow task is established through a designer, and a processor divides the flow into a plurality of sub-items;
the main controller refines and disassembles the sub-items into a plurality of events to form a flow item tree;
determining the type of the event and the number of the events based on the flow item tree, and determining the type and the number of the execution parts to be called;
and finishing the previewing of all events of the execution flow project tree through the execution part, recording the RPA robot mark in the executor used by each flow task and specific matters executed by the robot after finishing all the events, generating calling information of the flow task and storing the calling information.
Further, when the process to be executed by the user belongs to the existing process, the created process is directly called, and the main controller directly uses the stored calling information to execute the process.
Specifically, when executing the existing flow, the main controller only needs to schedule the corresponding robot in the execution unit that executed the flow before, and directly executes the flow.
Further, the execution module specifically includes:
opening a corresponding execution part according to the determined execution part type;
after the execution of a certain type of event is completed, analyzing the allowance of all the events of the execution part, and continuing auxiliary execution when the execution part for completing the event adds the event of the allowance maximum execution part;
after the execution part with the largest margin is added with a new execution part in the step S62, the margin of the execution part is halved;
after all times are completed, the results of completion of all events, the times of completion of each type of time, and the total time of completion of all events are recorded.
Further, the main controller includes:
the flow management module is used for managing the user account and the commonly used flow task information created in the user account;
a flow analysis module for analyzing the type of the flow splitting event, the execution time of each group of time and the execution result,
the event arrangement module is used for arranging all events of the flow to be executed in sequence, and calculating the type of the event and the position of the event execution required to be executed next by the execution part of the completed event when the event is executed.
The invention also provides a flow configuration method based on the RPA robot, which comprises the following steps:
s1: the RPA robot is directly connected with the main controller through a network;
s2: the main controller packages the robot into a plurality of executing parts, and the executing parts execute different events respectively;
s3: creating a process by a user, and dividing the process into a plurality of sub-items by a main controller;
s4: the processor refines and disassembles the sub-items into a plurality of events to form a flow item tree;
s5: determining the type of the event and the number of the events based on the flow item tree, and determining the type of an executing part to be called;
s6: executing all events of the flow item tree with the fastest efficiency through the execution part, reporting the executed result after completing all events, and analyzing and recording the executed result;
s7: and optimizing the execution flow of the flow item tree based on the analysis and the record of the execution result.
Further, in the step S2, the process has a plurality of nodes, and a plurality of the nodes are formed by a plurality of events, each event can be regarded as an aggregate of a plurality of minimum execution units, and a single execution unit can complete all the processes of the events.
Illustratively, when a user sets a flow, the flow must be staged, and the staging point is the node of the flow.
Further, before the user creates the flow in S3, the method further includes the following steps:
m1: a user establishes a personal account, a personal common flow task is established through a designer, and a processor divides the flow into a plurality of sub-items;
m2: the main controller refines and disassembles the sub-items into a plurality of events to form a flow item tree;
m3: determining the type of the event and the number of the events based on the flow item tree, and determining the type and the number of the execution parts to be called;
m4: and finishing the previewing of all events of the execution flow project tree through the execution part, recording the RPA robot mark in the executor used by each flow task and specific matters executed by the robot after finishing all the events, generating calling information of the flow task and storing the calling information.
It should be noted that, the process created by the user, the process and the result executed by the user, and the general process stored in the account of the user are updated once each time the general process is executed.
Further, when the process to be executed by the user belongs to the existing process, the created process is directly called, and the main controller directly uses the stored calling information to execute the process.
Further, the step of executing all the events of the flow item tree in S6 includes:
s61: opening a corresponding execution part according to the determined execution part type;
s62: after the execution of a certain type of event is completed, analyzing the allowance of all the events of the execution part, and continuing auxiliary execution when the execution part for completing the event adds the event of the allowance maximum execution part;
after the execution part with the largest margin is added with a new execution part in the step S62, the margin of the execution part is halved;
s63: after all times are completed, the results of completion of all events, the times of completion of each type of time, and the total time of completion of all events are recorded.
For example, a certain flow item tree is finally disassembled into 10 types of events, the type 8 events are completed first, the type 2 events have the most allowance, the type 2 has 8 events which are not completed yet, if the type 2 executing part is executing the events except the remaining 8 events, the type 8 executing part starts to execute from the 5 th event of executing the remaining 8 events of the type 2, if the type 2 executing part is executing the first event of the remaining 8 events, and the type 8 executing part starts to execute from the 6 th event of executing the remaining 8 events of the type 2.
When the type 9 event is completed and the time type 2 event is not completed yet, the main controller analyzes and calculates the type with the largest margin among all types, and the execution part executing the type 9 will execute the type of event, and the execution point is similar to the above.
In other embodiments, the main controller executes a plurality of processes simultaneously, the processes generate a plurality of process item trees, at this time, the processes are ordered according to the creation sequence of all the process item trees, the main controller counts the event types and the number in all the process item trees, and invokes the execution part with the type adapted to execute the process, the execution process includes:
and executing the event type with the largest completion time in the first flow item tree, and if the first flow item tree is completed, continuing to the second flow item tree.
In summary, the flow configuration method based on the RPA robot of the invention encapsulates the robot into a plurality of execution parts through the main controller, the execution parts respectively execute different events, so that each robot is mutually independent, a user creates a flow, the main controller divides the flow into a plurality of sub-projects, the sub-projects are thinned and disassembled into a plurality of events by the processor to form a flow project tree, the execution parts and event types are mutually corresponding to be re-executed, the execution efficiency of the flow is effectively improved, after the execution of an event of a certain type is completed, the allowance of all the execution parts is analyzed, the execution part of the completed event is added into the event of the maximum allowance for auxiliary execution, the utilization rate of the robot and the execution efficiency of the event are further improved, the execution efficiency of the flow is further improved, meanwhile, by the way of creating accounts, the user can set the commonly used flow by himself, the user can directly use the created flow, and the user can rapidly schedule and deploy the RPA robot through the main controller.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A flow configuration method based on an RPA robot is characterized in that: the method comprises the following steps:
s1: the RPA robot is directly connected with the main controller through a network;
s2: the main controller packages the robot into a plurality of executing parts, and the executing parts execute different events respectively;
s3: creating a process by a user, and dividing the process into a plurality of sub-items by a main controller;
s4: the processor refines and disassembles the sub-items into a plurality of events to form a flow item tree;
s5: determining the type of the event and the number of the events based on the flow item tree, and determining the type of an executing part to be called;
s6: executing all events of the flow item tree with the fastest efficiency through the execution part, reporting the executed result after completing all events, and analyzing and recording the executed result;
s7: and optimizing the execution flow of the flow item tree based on the analysis and the record of the execution result.
2. The RPA robot-based flow configuration method of claim 1, wherein: in the S2 process, a plurality of nodes are arranged, a plurality of nodes are formed by a plurality of events, each event can be regarded as an aggregate of a plurality of minimum execution units, and a single execution part can complete all processes of the events.
3. The RPA robot-based flow configuration method of claim 1, wherein: the step S3 of creating the flow by the user further comprises the following steps:
m1: a user establishes a personal account, a personal common flow task is established through a designer, and a processor divides the flow into a plurality of sub-items;
m2: the main controller refines and disassembles the sub-items into a plurality of events to form a flow item tree;
m3: determining the type of the event and the number of the events based on the flow item tree, and determining the type and the number of the execution parts to be called;
m4: and finishing the previewing of all events of the execution flow project tree through the execution part, recording the RPA robot mark in the executor used by each flow task and specific matters executed by the robot after finishing all the events, generating calling information of the flow task and storing the calling information.
4. A RPA robot-based process configuration method according to claim 3, characterized in that: when the flow to be executed by the user belongs to the existing flow, the created flow is directly called, and the main controller directly uses the stored calling information to execute the flow.
5. The RPA robot-based flow configuration method of claim 1, wherein: all event steps of executing the flow item tree in the step S6 include:
s61: opening a corresponding execution part according to the determined execution part type;
s62: after the execution of a certain type of event is completed, analyzing the allowance of all the events of the execution part, and continuing auxiliary execution when the execution part for completing the event adds the event of the allowance maximum execution part;
after the execution part with the largest margin is added with a new execution part in the step S62, the margin of the execution part is halved;
s63: after all times are completed, the results of completion of all events, the times of completion of each type of time, and the total time of completion of all events are recorded.
6. A flow configuration system based on an RPA robot, configured to implement the flow configuration method based on an RPA robot according to any one of claims 1 to 5, wherein: the flow configuration system based on the RPA robot comprises:
the main controller is used for assisting a user in establishing an account, controlling and managing the flow by the user, packaging the robot into a plurality of execution parts, assisting the user in establishing the flow, and dividing the flow into a plurality of sub-items according to flow nodes;
the designer is used for editing detailed instructions of the process and sending the process to the main controller;
the processor is used for further disassembling the sub-items separated from the flow by the main controller into a plurality of events according to the nodes and forming a flow item tree;
an execution module; the method comprises the steps of determining the type of the event and the number of each event according to a flow item tree, determining the type of an executing part to be called, and executing all the events of the flow item tree with the fastest efficiency;
the analysis optimizing module is used for reporting the execution result, analyzing and recording the execution result, and optimizing the execution flow of the flow project tree according to the analysis and recording of the execution result;
and the memory is used for storing the user account information.
7. The RPA robot-based process configuration system of claim 6, wherein: the user also includes the following processes in creating a personal account by the master controller:
a user establishes a personal account, a personal common flow task is established through a designer, and a processor divides the flow into a plurality of sub-items;
the main controller refines and disassembles the sub-items into a plurality of events to form a flow item tree;
determining the type of the event and the number of the events based on the flow item tree, and determining the type and the number of the execution parts to be called;
and finishing the previewing of all events of the execution flow project tree through the execution part, recording the RPA robot mark in the executor used by each flow task and specific matters executed by the robot after finishing all the events, generating calling information of the flow task and storing the calling information.
8. The RPA robot-based process configuration system of claim 7, wherein: when the flow to be executed by the user belongs to the existing flow, the created flow is directly called, and the main controller directly uses the stored calling information to execute the flow.
9. The RPA robot-based process configuration system of claim 6, wherein: the execution module is specifically as follows:
opening a corresponding execution part according to the determined execution part type;
after the execution of a certain type of event is completed, analyzing the allowance of all the events of the execution part, and continuing auxiliary execution when the execution part for completing the event adds the event of the allowance maximum execution part;
after the execution part with the largest margin is added with a new execution part in the step S62, the margin of the execution part is halved;
after all times are completed, the results of completion of all events, the times of completion of each type of time, and the total time of completion of all events are recorded.
10. The RPA robot-based process configuration system of claim 6, wherein: the main controller includes:
the flow management module is used for managing the user account and the commonly used flow task information created in the user account;
a flow analysis module for analyzing the type of the flow splitting event, the execution time of each group of time and the execution result,
the event arrangement module is used for arranging all events of the flow to be executed in sequence, and calculating the type of the event and the position of the event execution required to be executed next by the execution part of the completed event when the event is executed.
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