CN117273398A - Distributed software robot cluster architecture for intelligent automation of business process - Google Patents
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Abstract
The invention discloses a distributed software robot cluster architecture oriented to intelligent automation of a business process, and belongs to the technical field of artificial intelligence. The method solves the technical problems that single-point faults affect all processes, intelligent automation is lacked in process management, and resource allocation flexibility is poor. The invention adopts a mode of defining serial, parallel, global software robots and special software robots to reconfigure a service processing system, and each robot contained in the serial, parallel and special software robots is an independent individual and can work independently, but is required to receive dispatch of the global software robots; the global software robot is an overall director and is responsible for monitoring and coordinating the work of each software robot. By establishing a serial, parallel and special software robot storage warehouse, a robot commander can quickly and accurately find each software robot and reasonably arrange tasks. The invention is applied to intelligent automatic processing oriented to the business process, and achieves the purpose of improving the working efficiency and the quality.
Description
Technical Field
The invention belongs to the field of artificial intelligence, and particularly relates to a distributed software robot cluster architecture for intelligent automation of business processes.
Background
The existing centralized software robot cluster architecture has some disadvantages, mainly expressed in the following aspects: 1. single point failure affects the overall process. All tasks of the centralized software robot depend on the central server, the task flow is fixed, and when the central server or a certain node of the flow fails, the system stops running and the tasks fail. 2. Flow-driven service management lacks automation. The business system under the architecture is often developed and operated based on fixed rules and cannot be adjusted according to the change of the real-time task instruction, so that the data processing flow cannot adapt to new conditions, and the business flow lacks intelligent automation. 3. The resource allocation flexibility is poor. The occupied resources of the functional modules in the application software cannot be allocated according to the needs, and after the user instruction is finished, the dynamic recovery of the occupied resources cannot be realized, so that the waste phenomenon exists in the allocation of the system resources. In order to overcome the defects of the centralized software robot cluster architecture, a distributed cluster architecture can be adopted, and tasks can be split to different nodes for processing under the distributed architecture, so that reliability, high efficiency and flexibility are ensured.
Disclosure of Invention
(1) Object of the invention
The invention aims to provide a distributed software robot cluster architecture for intelligent automation of business processes, which solves the technical problems that single-point faults affect all processes, intelligent automation is lacking in process management, and resource allocation flexibility is poor.
(2) Technical proposal
In order to achieve the above purpose and solve the above technical problems, the technical scheme of the invention is as follows:
the distributed software robot cluster architecture for intelligent automation of the business process comprises the following steps:
the first step: the deployment detection and recognition software robot is used for detecting and recognizing user instructions and issuing recognition results to a robot commander;
the detection and recognition software robot utilizes a machine learning algorithm to recognize and classify user instructions, and the user instructions are finally divided into a single instruction, a plurality of instructions and special instructions;
the single instruction refers to a plurality of single user commands, the task flow of the commands is relatively fixed, and the tasks can be completed through the serial robots of different working groups working step by step;
the plurality of instructions are various user commands, the user demands are crossed, the robot commander issues the instructions to the parallel robot warehouse, tasks are distributed to the parallel software robots, and the parallel software robots cooperate after reaching the working nodes to finish task instructions together;
the special command is a command which is triggered when a certain condition is met, the robot commander directly issues the special command to the special robot, and the special robot completes a special task according to the special command; the special instruction comprises the special requirement of a user, and also comprises an emergency call command of the global software robot when the system is overloaded with user services and the serial and parallel robots are failed;
and a second step of: deploying a software robot commander;
the robot commander has the capability of dispatching instructions and dispatching software robots, the robot commander issues commands to serial, parallel and special robot warehouses according to the instruction types, selects proper software robots to reach working nodes, and simultaneously, the global software robots coordinate the robot commander to dispatch a proper number of robots to reach the appointed working nodes according to the information fed back by the robot working nodes;
and a third step of: constructing serial, parallel and special software robot warehouses;
different working subgroups are stored in the serial robot warehouse, each working subgroup executes a single instruction task, and the subgroups are matched with each other;
the parallel robot executes multi-instruction tasks, and the special robot executes special tasks and system emergency tasks; based on potential business target and user demand analysis, writing a software functional module into the software robot, and storing the software robot in different types of robot warehouses, wherein the robots in the robot warehouses do not occupy actual system memory resources and only occupy external storage space;
fourth step: deploying a robot working node;
the robot work nodes comprise serial, parallel and special robot execution nodes, and the robot work nodes receive static robots from a robot warehouse and convert the static robots into dynamic work robots;
fifth step: deploying a global software robot;
the global software robot is a system general director and is used for ensuring the smooth proceeding of the business process;
the global software robot timely feeds back the robot commander by monitoring the running condition of the robot at the working node of the robot, and the robot commander dynamically dispatches and recovers the number of the working robots;
when the number of robots at the robot execution nodes is excessive, and the resource usage exceeds a configured upper threshold, the global software robot dynamically increases the resource quota of the corresponding execution node, otherwise, the resource quota is reduced;
when the user instruction is greatly increased, the global soft robot senses and coordinates a robot commander to increase the number of dispatched working robots, otherwise, the robot warehouse recovers the robots at the working nodes;
when a robot with a specific function completes a task, the global software robot timely informs a robot commander to recycle the software robot and releases occupied system resources.
Furthermore, the detection and recognition software robot uses naive Bayesian classification, a support vector machine, a decision tree or a neural network machine learning algorithm to recognize and classify the user instructions.
Further, the robot working node also has an autonomous detection function, and when the robot finishes a task, the robot working node converts a related robot into a static robot, so that a robot warehouse can conveniently recover the robot in time.
Further, each software robot contained in the serial robot warehouse, the parallel robot warehouse and the special software robot warehouse is an independent individual and can work independently and cooperate with each other, but is subjected to the monitoring of the global software robot and the dispatching of the compliance robot commander.
Further, the constructed serial robot warehouse, the parallel robot warehouse and the special software robot warehouse are mutually independent, all the warehouses are not interfered with each other, and when processing a work task, robots in different warehouses receive corresponding types of work commands.
Further, a plurality of types of special software robots are stored in a special software robot warehouse, wherein the special software robots comprise advanced special software robots, common special software robots and outsourcing special robots; the advanced special software robot is a working software robot activated for special business requirements of clients; when the service demand is increased sharply, the robot commander can correspondingly assign the common special robot to reach the working node to execute the task according to the running condition of the service system; when the serial robots and the parallel robots fail at the working nodes, the external cooperation special robot can quickly reach the failed node to complete corresponding work according to the emergency command of the robot commander.
Furthermore, the number of the robot warehouses of different types is not fixed, and the number of the robot warehouses of different types can be increased and configured according to business requirements, so that the robot warehouses do not occupy actual memory resources and only occupy external memory space.
Further, the global software robot needs to receive the user instruction and monitor the working states of various robots, and after the user sends the service instruction, the global software robot receives the instruction and rapidly enters the working state to monitor and coordinate the stable operation of the service flow.
Further, the robot working node also has a function of setting a trigger, when a user instruction needs to be executed in a delayed manner, a robot commander assigns tasks to corresponding software robots according to the user instruction, the robots arrive at the working node after receiving the instruction and keep still, and when the user instruction time arrives, the robot working node activates the robots to enable the robots to be dynamic robots and complete work.
Further, the distributed software robot cluster architecture has a "modularized" design concept, and the cluster architecture can integrate different types of functional components, such as databases, file storage, message queues and the like, and flexibly configure the functional components according to different functional interfaces of the cluster architecture.
(3) Effective benefit
1. The invention is oriented to intelligent automation of service flow: the distributed software robot cluster can automatically control the processes of instruction identification, anomaly detection, resource management and the like, and adjust the operation strategy according to the implementation condition.
2. The invention can improve the reliability and stability of the service system: the robots with different combination modes are defined, and the robots in each combination mode can work independently and cooperate with each other, so that the reliability and stability of the system are greatly improved.
3. The invention has the advantages of easy expansibility: the distributed software robot system adopts a modular design concept, and is easy to integrate various functional components with different types, such as a database, file storage, message queue and the like.
4. The invention supports large-scale customization: the distributed software robot system has rich functional interfaces and can be flexibly configured according to actual requirements.
5. The invention has high flexibility: because each software robot has autonomy, when the adjustment and the change of tasks are carried out, the new functions can be realized by only changing the programs of the corresponding robots.
6. The system resource allocation of the invention is more reasonable: after the task is completed, the robot commander can dynamically recycle the corresponding software robot, so that the occupied resources are released, and the system space is reasonably utilized.
7. The invention is convenient to deploy and maintain: the distributed software robot system adopts robot storage warehouses with different combination modes, can search fault sources at fixed points, and has good portability and compatibility.
Drawings
FIG. 1 is a diagram of a distributed software robot overall architecture;
FIG. 2 is a distributed software robot workflow diagram;
FIG. 3 global software robot load balancing graph.
Detailed Description
The invention is explained and illustrated in detail below with reference to the drawings and the examples.
The distributed software robot cluster architecture is an intelligent system facing to the business process and is mainly used for realizing the automatic processing of various discrete tasks in the business process. The invention relates to a Robot Process Automation (RPA) technology, in particular to an understanding and identification, task division and software robot cooperative processing method of service instructions, which is applied to intelligent automatic processing for service processes to achieve the aim of improving the working efficiency and the quality.
The design idea of the invention is expressed as follows: the invention adopts a mode of defining serial, parallel, global software robots and special software robots to reconfigure a service processing system, wherein each robot contained in the serial, parallel and special software robots is an independent individual and can work independently, but is required to receive dispatch of the global software robots; the global software robot is an overall director in the business processing process and is responsible for monitoring and coordinating the work of each software robot so as to ensure that the business processing work is smoothly carried out. By establishing a storage warehouse of serial, parallel and special software robots, a robot commander can quickly and accurately find each software robot and reasonably arrange tasks. The serial software robots are divided into different working groups, each group preliminarily defines different attributes, when a user gives an instruction, the attribute of the instruction is defined through the understanding analysis of the detection and identification software robots, a robot commander precisely issues the instruction to the working groups of the robots according to the instruction attribute, and the working groups finish tasks step by step according to task flows and feed back to the user. The parallel software robots connect each robot together in a parallel mode, the robots are independent and cooperate with each other, when facing a plurality of different task instructions, a robot commander distributes tasks to different robots through disassembling the tasks, and the parallel robots cooperate to complete the task instructions; in the parallel robot working process, when a certain robot fails, the global software robot can timely identify the failed node and recall other software robots to reach the working node, so that the system work is smoothly carried out. When the system receives a special instruction or the serial and parallel robots cannot work normally, the special robot is activated by the global software robot and receives dispatch of a robot commander. Detecting and identifying the capability of the software robot for instruction identification and task understanding, and transmitting an instruction identification result to a software robot commander; the robot commander has the capability of assigning tasks and dynamically dispatching serial, parallel and special software robots, and commands the software robots to reach working nodes so as to complete tasks. Compared with the existing centralized software robot cluster architecture, the distributed software robot cluster architecture can flexibly adapt to different business requirements and changes, and as each robot has independent execution capacity, tasks and resources can be dynamically allocated according to the complexity and emergency degree of the tasks, and the overall performance and efficiency of a business system are improved.
Through the above design, the present invention solves the following problems.
First, the problem of single point failure affecting the overall flow can be improved by changing the layout of the software robot. The integrated architecture of the service system is carried out by adopting the modes of defining serial, parallel, global software robots and special software robots, so that when single-point faults occur, the global software robots call other software robots in time to enter fault nodes, and the command flow is continued.
Second, flow-driven service management may be improved by introducing event-driven mechanisms. I.e. dynamically adjusting the business processes according to the occurrence of real-time events. Therefore, the data processing flow is more flexible, new conditions can be quickly adapted, and intelligent automation is realized.
Finally, the problem of poor flexibility of resource allocation can be solved by reasonable resource allocation and load balancing. Under the distributed architecture, tasks can be distributed to different nodes for processing, so that computer resources are fully utilized, and the overall performance of the system is improved. Meanwhile, tasks can be distributed in a balanced mode through a load balancing algorithm, and performance degradation caused by overload of some nodes is avoided.
Therefore, the defects of a centralized software robot cluster architecture can be overcome by adopting the distributed architecture, and the reliability, the high efficiency and the flexibility of the system are improved. This will enable the software robot cluster to better cope with complex business needs and real-time changing environments. The overall architecture of the distributed software robot is shown in fig. 1; the workflow of the distributed software robot of the invention is shown in figure 2;
the invention is implemented according to the following steps:
the first step: and deploying the detection and identification software robot. The robot is used for detecting and identifying user instructions and issuing identification results to a robot commander. The detection and recognition software robot can use a machine learning algorithm (such as naive Bayesian classification, a support vector machine, a decision tree and a neural network) to recognize and classify user instructions, and the user instructions can be finally divided into a single instruction, a plurality of instructions and special instructions. The single instruction refers to a plurality of single user commands, the task flow of the commands is relatively fixed, and the tasks can be completed through the serial robots of different working groups working step by step. The plurality of instructions are various user commands, and the user demands are crossed, so that the serial robots cannot complete tasks, the robot commander issues the instructions to the parallel robot warehouse, the tasks are distributed to the parallel software robots, and the parallel software robots cooperate after reaching the working nodes to complete task instructions together. The special command is a command which is triggered when a certain condition is met, the robot commander directly issues the special command to the special robot, and the special robot completes a special task according to the special command. The special instructions comprise special demands of users and emergency call commands of the global software robot when the system is overloaded with user services and the serial and parallel robots are failed.
And a second step of: deploying a software robot commander. The robot commander has the capability of dispatching instructions and dispatching software robots, the robot commander precisely issues commands to serial, parallel and special robot warehouses according to the instruction types, selects proper software robots to reach working nodes, and meanwhile, the global software robots coordinate the robot commander to dispatch a proper number of robots to reach the appointed working nodes according to the information fed back by the robot working nodes.
And a third step of: and constructing serial, parallel and special software robot warehouses. The software robot warehouse with different combination modes is built, so that the modularized management of the software robot can be realized, the quick response can be realized according to the user instruction, and the system can be accurately positioned when the system fails. Different working groups are stored in the serial robot warehouse, each working group can execute a single instruction task, the groups are matched with each other, and the working efficiency of the system is improved. The parallel robot executes multi-instruction tasks, and the special robot executes special tasks and system emergency tasks. Based on potential business objective and user demand analysis, writing a software functional module into the software robot, and storing the software robot in different types of robot warehouses, wherein the robots in the robot warehouses do not occupy actual system memory resources and only occupy external storage space.
Fourth step: and deploying the robot working node. The robot work nodes include serial, parallel and special robot execution nodes, and the robot work nodes receive static robots from the robot warehouse and convert to dynamic work robots. In addition, the robot working node has an autonomous detection function, and when the robot completes a task, the robot working node converts a related robot into a static robot, so that a robot warehouse can conveniently recover the robot in time.
Fifth step: a global software robot is deployed. The global software robot is crucial to the whole cluster architecture, and the global software robot is a system total commander, and the functions of the global software robot are mainly to ensure the smooth proceeding of business processes, including monitoring whether working robots on working nodes of the robot are in normal operation, reasonably planning and configuring system space resources, and coordinating the robot commander to reasonably dispatch static robots to the working nodes. The method for reasonably configuring the system resource space by the global software robot is shown in fig. 3, the global software robot timely feeds back the robot commander by monitoring the running condition of the robot at the working node of the robot, and the robot commander dynamically dispatches and recovers the number of the working robots, thereby fully utilizing the service system resources. When the number of robots at the robot execution nodes is excessive, and the resource usage exceeds the configured upper threshold, the global software robot dynamically increases the resource quota of the corresponding execution node, and otherwise, reduces the resource quota. When the user instructions are greatly increased, the global soft robot senses and coordinates the robot commander to increase the number of dispatched working robots, otherwise, the robot warehouse recovers the robots at the working nodes. When a robot with a specific function completes a task, the global software robot timely informs a robot commander to recycle the software robot and releases occupied system resources.
In addition, each software robot contained in the serial robot warehouse, the parallel robot warehouse and the special software robot warehouse is an independent individual, can work independently and cooperate with each other, and is subjected to the monitoring of the global software robot and the dispatching of the compliance robot commander.
Meanwhile, the constructed serial robot warehouse, the parallel robot warehouse and the special software robot warehouse are mutually independent, all the warehouses are not interfered with each other, and when processing a work task, robots in different warehouses receive corresponding types of work commands.
Storing a plurality of types of special software robots in a special software robot warehouse, wherein the special software robots comprise advanced special software robots, common special software robots and outsourced special robots; the advanced special software robot is a working software robot activated for special business requirements of clients; when the service demand is increased sharply, the robot commander can correspondingly assign the common special robot to reach the working node to execute the task according to the running condition of the service system; when the serial robots and the parallel robots fail at the working nodes, the external cooperation special robot can quickly reach the failed node to complete corresponding work according to the emergency command of the robot commander.
The number of the robot warehouses of different types is not fixed, the number of the robot warehouses of different types can be increased and configured according to business requirements, and the robot warehouses do not occupy actual memory resources and only occupy external memory space.
The global software robot in the invention needs to receive the user instruction and monitor the working states of various robots, and after the user sends the service instruction, the global software robot receives the instruction and rapidly enters the working state to monitor and coordinate the stable operation of the service flow.
The robot work node also has the function of setting a trigger, when a user instruction needs to be executed in a delayed mode, a robot commander assigns tasks to corresponding software robots according to the user instruction, the robots arrive at the work node after receiving the instruction and keep static, and when the user instruction time arrives, the robot work node activates the robots to enable the robots to be dynamic robots and complete work.
The distributed software robot cluster architecture has a modular design concept, can integrate different types of functional components, such as a database, file storage, message queues and the like, and flexibly configures the functional components according to different functional interfaces of the cluster architecture.
The foregoing is a further detailed description of the invention in connection with specific embodiments, and it is not intended that the invention be limited to such description. It will be apparent to those skilled in the art that several simple deductions or substitutions may be made without departing from the spirit of the invention, and these should be considered to be within the scope of the invention.
Claims (10)
1. The distributed software robot cluster architecture for intelligent automation of business processes is characterized by comprising the following steps:
the first step: the deployment detection and recognition software robot is used for detecting and recognizing user instructions and issuing recognition results to a robot commander;
the detection and recognition software robot utilizes a machine learning algorithm to recognize and classify user instructions, and the user instructions are finally divided into a single instruction, a plurality of instructions and special instructions;
the single instruction refers to a plurality of single user commands, the task flow of the commands is fixed, and the tasks can be completed through the serial robots of different working groups working step by step;
the plurality of instructions are various user commands, the user demands are crossed, the robot commander issues the instructions to the parallel robot warehouse, tasks are distributed to the parallel software robots, and the parallel software robots cooperate after reaching the working nodes to finish task instructions together;
the special instruction is an instruction which is triggered when a certain condition is met; the robot commander directly issues special instructions to the special robot, and the special robot completes special tasks according to the special instructions; the special instruction comprises the special requirement of a user, and also comprises an emergency call command of the global software robot when the system is overloaded with user services and the serial and parallel robots are failed;
and a second step of: deploying a software robot commander;
the robot commander has the capability of dispatching instructions and dispatching software robots, the robot commander issues commands to serial, parallel and special robot warehouses according to the instruction types, selects proper software robots to reach working nodes, and simultaneously, the global software robots coordinate the robot commander to dispatch a proper number of robots to reach the appointed working nodes according to the information fed back by the robot working nodes;
and a third step of: constructing serial, parallel and special software robot warehouses;
different working subgroups are stored in the serial robot warehouse, each working subgroup executes a single instruction task, and the subgroups are matched with each other;
the parallel robot executes multi-instruction tasks;
special tasks and system emergency tasks are executed by the special robot;
based on potential business target and user demand analysis, writing a software functional module into the software robot, and storing the software robot in different types of robot warehouses, wherein the robots in the robot warehouses do not occupy actual system memory resources and only occupy external storage space;
fourth step: deploying a robot working node;
the robot work nodes comprise serial, parallel and special robot execution nodes, and the robot work nodes receive static robots from a robot warehouse and convert the static robots into dynamic work robots;
fifth step: deploying a global software robot;
the global software robot is a system general director and is used for ensuring the smooth proceeding of the business process;
the global software robot timely feeds back the robot commander by monitoring the running condition of the robot at the working node of the robot, and the robot commander dynamically dispatches and recovers the number of the working robots;
when the number of robots at the robot execution nodes is excessive, and the resource usage exceeds a configured upper threshold, the global software robot dynamically increases the resource quota of the corresponding execution node, otherwise, the resource quota is reduced;
when the user instruction is greatly increased, the global soft robot senses and coordinates a robot commander to increase the number of dispatched working robots, otherwise, the robot warehouse recovers the robots at the working nodes;
when a robot with a specific function completes a task, the global software robot timely informs a robot commander to recycle the software robot and releases occupied system resources.
2. The business process intelligent automation oriented distributed software robot cluster architecture of claim 1, wherein the detection and recognition software robot uses naive bayes classification, support vector machine, decision tree or neural network machine learning algorithm to recognize and classify user instructions.
3. The business process intelligent automation oriented distributed software robot cluster architecture of claim 1, wherein the robot work node further has an autonomous detection function, and when the robot completes a task, the robot work node converts the relevant robot into a static robot, so that a robot warehouse can recover the robot in time.
4. The business process intelligent automation oriented distributed software robot cluster architecture of claim 1, wherein each software robot contained in the serial robot warehouse, the parallel robot warehouse, and the special software robot warehouse is an independent individual, capable of working independently and cooperating with each other, but subject to monitoring by a global software robot and dispatching by a robot commander.
5. The intelligent automation distributed software robot cluster architecture for business processes according to claim 1, wherein the constructed serial robot warehouse, parallel robot warehouse and special software robot warehouse are independent of each other, the warehouses are not interfered with each other, and when processing work tasks, robots in different warehouses receive corresponding types of work orders.
6. The business process intelligent automation oriented distributed software robot cluster architecture of claim 1, wherein the special software robot warehouse stores a plurality of types of special software robots, including advanced special software robots, common special software robots and outsourced special robots; the advanced special software robot is a working software robot activated for special business requirements of clients; when the service demand is increased sharply, the robot commander can correspondingly assign the common special robot to reach the working node to execute the task according to the running condition of the service system; when the serial robots and the parallel robots fail at the working nodes, the external cooperation special robot can quickly reach the failed node to complete corresponding work according to the emergency command of the robot commander.
7. The intelligent automation distributed software robot cluster architecture for business processes according to claim 1, wherein the number of serial robot warehouses, parallel robot warehouses and special software robot warehouses is not fixed, the number of robot warehouses of different types is increased according to business requirements, and the robot warehouses do not occupy actual memory resources and only occupy external memory space.
8. The intelligent automation distributed software robot cluster architecture for business processes according to claim 1, wherein the global software robot is required to receive the user command and monitor the working states of various robots, and after the user sends the business command, the global software robot receives the command, rapidly enters the working state, and monitors and coordinates the stable operation of the business processes.
9. The intelligent automation distributed software robot cluster architecture for business processes according to claim 1, wherein the robot work node further has a function of setting a trigger, when a user instruction needs to be executed in a delayed manner, a robot director assigns tasks to the corresponding software robots according to the user instruction, the robots arrive at the work node after receiving the instruction and continue to remain static, and when the user specified time is reached, the robot work node activates the robots to be dynamic robots and complete the work.
10. The business process intelligent automation oriented distributed software robot cluster architecture of claim 1, wherein the distributed software robot cluster architecture has a modular design concept, and the cluster architecture can integrate different types of functional components and flexibly configure the functional components according to different functional interfaces of the cluster architecture.
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| CN111949044A (en) * | 2020-08-12 | 2020-11-17 | 湖南大狗科技有限公司 | Rapid linkage command system and method |
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