CN114338364A - Business process management system and method and electronic equipment - Google Patents
Business process management system and method and electronic equipment Download PDFInfo
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Abstract
The invention provides a business process management system, a business process management method and electronic equipment, and relates to the technical field of process automation, wherein the business process management system can keep the stable operation of a business process management task under the condition of network disconnection, so that the network dependence is reduced; and the service process management of various industries is realized through a component library of various services arranged in the robot process automation platform, and the problem of single use scene of the service process management system in the prior art is solved.
Description
Technical Field
The present invention relates to the field of process automation technologies, and in particular, to a system and a method for business process management, and an electronic device.
Background
A robot process automation (PRA) finally realizes a process of process automation by simulating a manual operation of a user at a computer. In the industries such as financial industry, manufacturing industry, retail industry and the like, the business process management system with the PRA function can realize automatic operations such as automatic data filling and automatic product information acquisition, thereby reducing the error rate caused by manual filling and optimizing the business process.
The PRA function of the existing service flow management system can only operate in a networking environment, once a problem occurs in network connection, related data is lost, and a task stops executing, so that a service flow cannot continue. Meanwhile, the existing business process management system can only support single business process management and is difficult to meet the process management of complex business.
In summary, the business process management system in the prior art further includes: strong network dependence and single use scene.
Disclosure of Invention
In view of this, the present invention provides a service process management system, a method and an electronic device, where the service process management system can keep the service process management task running smoothly under the condition of network outage, and reduce network dependency; and the service process management of various industries is realized through a component library of various services arranged in the robot process automation platform, and the problem of single use scene of the service process management system in the prior art is solved.
In a first aspect, an embodiment of the present invention provides a business process management system, where the system includes: the system comprises a management platform, a control unit, a service acquisition unit and a robot process automation platform; the management platform is connected with the robot process automation platform through the control unit; the robot process automation platform is connected with the management platform through the service acquisition unit;
the management platform is deployed on a cloud server; the robot process automation platform is deployed on a local server;
when the data transmission of the cloud server is normal, the management platform transmits a control flow instruction to the robot flow automation platform through the control unit; after receiving the control flow instruction, the robot flow automation platform analyzes and stores the service data acquired by the service acquisition unit according to the control flow instruction in a local server deployed by the robot flow automation platform; transmitting the service data which is analyzed and stored to the management platform;
when data transmission of the cloud server is abnormal, analyzing and storing the service data acquired by the service acquisition unit in a local server deployed by the robot flow automation platform according to a preset control flow instruction; and transmitting the service data which is analyzed and stored to the management platform until the data transmission of the cloud server is normal.
In some embodiments, a robotic process automation platform, comprising: a main service unit and a component library;
wherein, the component library at least comprises: a business component and a functional component; the functional component is connected with the main service unit through the service component; the main service unit comprises a robot flow automation system, and the robot flow automation system is deployed in a local server; the service component is used for analyzing the service data acquired by the service acquisition unit; the functional component is used for analyzing the control flow instructions in the control unit according to functions.
In some embodiments, the functional components include at least: the system comprises a webpage component, a multimedia identification component, a system component, a network component, an office component and a log component; the business components include at least: the system comprises an e-commerce logistics component, a personnel financial component, a medical health component and an educational training component;
the webpage component, the system component and the office component are all connected with the components in the business component; the multimedia identification component is connected with the main service unit through the electronic commerce logistics component; the network component is connected with the main service unit through the personnel financial component and the medical health component respectively; the log component is connected with the main service unit through the educational training component.
In some embodiments, the functional component further comprises: debugging the component; the debugging component is connected with the component in the service component; the debugging component is used for debugging the components contained in the business component.
In some embodiments, the robotic process automation platform further comprises: a multimedia interface and a network interaction interface;
the multimedia recognition component transmits multimedia information through a multimedia interface;
and the network component transmits the network interaction information through the network interaction interface.
In some embodiments, the multimedia recognition component comprises: the multimedia recognition detection module and the character recognition module;
the multimedia recognition detection module is internally provided with a multimedia recognition detection model; the multimedia recognition detection model comprises: a combination of one or more of a Yolo model, a Fast RCNN model, an RPN model, and a DETR model;
a character recognition model is arranged in the character recognition module; the character recognition model includes: the CTPN model, the CRNN model and the Attention model are combined by one or more of the models.
In some embodiments, the business process management system further comprises a callback control unit; the callback control unit is connected with the management platform and the robot flow automation platform through a built-in data transmission interface;
and the callback control unit is used for calling back the service data in the management platform to the robot flow automation platform for the self-optimization process of the robot flow automation platform.
In a second aspect, an embodiment of the present invention provides a business process management method, where the method is applied to the business process management system mentioned in the first aspect; wherein, the business process management system includes: the system comprises a management platform, a control unit, a service acquisition unit and a robot process automation platform;
the method comprises the following steps:
the control management platform sends a control flow instruction to the robot flow automation platform through the control unit;
after receiving the control flow instruction, the robot flow automation platform analyzes and stores the service data acquired by the service acquisition unit according to the control flow instruction in a local server deployed by the robot flow automation platform;
and when the data transmission of the cloud server where the management platform is located is normal, transmitting the service data which is analyzed and stored to the management platform.
In a third aspect, an embodiment of the present invention provides an electronic device, including: a processor and a storage device; the storage device has stored thereon a computer program which, when executed by the processor, performs the steps of the business process management method as provided by the first aspect.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the business process management method provided in the first aspect are implemented.
The embodiment of the invention has the following beneficial effects: the embodiment of the invention provides a business process management system, a business process management method and electronic equipment, wherein the system comprises the following steps: the system comprises a management platform, a control unit, a service acquisition unit and a robot process automation platform; the management platform is connected with the robot process automation platform through the control unit; the robot process automation platform is connected with the management platform through the service acquisition unit; the management platform is deployed on a cloud server; the robot process automation platform is deployed on a local server; when the data transmission of the cloud server is normal, the management platform transmits a control flow instruction to the robot flow automation platform through the control unit; after receiving the control flow instruction, the robot flow automation platform analyzes and stores the service data acquired by the service acquisition unit according to the control flow instruction in a local server deployed by the robot flow automation platform; transmitting the service data which is analyzed and stored to the management platform; when data transmission of the cloud server is abnormal, analyzing and storing the service data acquired by the service acquisition unit in a local server deployed by the robot flow automation platform according to a preset control flow instruction; and transmitting the service data which is analyzed and stored to the management platform until the data transmission of the cloud server is normal. In the process of using the business process management system to manage the business process, firstly, a control management platform sends a control process instruction to a robot process automation platform through a control unit; after the robot flow automation platform receives the control flow instruction, analyzing and storing the service data acquired by the service acquisition unit in a local server deployed by the robot flow automation platform according to the control flow instruction; and finally, when the data transmission of the cloud server where the management platform is located is normal, transmitting the service data which is analyzed and stored to the management platform. The business process management system can keep the stable operation of the business process management task under the condition of network disconnection, thereby reducing the network dependency; and the service process management of various industries is realized through a component library of various services arranged in the robot process automation platform, and the problem of single use scene of the service process management system in the prior art is solved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic structural diagram of a business process management system according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of another business process management system according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a robot process automation platform in a business process management system according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a multimedia recognition component in a business process management system according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a multimedia recognition component in a business process management system according to an embodiment of the present invention when processing multimedia data;
fig. 6 is a flowchart of a method for managing a business process according to an embodiment of the present invention;
fig. 7 is a signaling diagram of a service flow management method according to an embodiment of the present invention;
fig. 8 is a flowchart of a business process management method in a scene of identifying license contents according to an embodiment of the present invention;
fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Icon:
100-a management platform; 200-a robot process automation platform; 300-a control unit; 400-a service acquisition unit; 500-callback control unit;
210-a master service unit; 220-component library; 10-a business component; 20-a functional component; 21-web page components; 22-a multimedia recognition component; 23-system components; 24-a network component; 25-office components; 26-a log component; 27-debugging the component; 11-an e-commerce logistics component; 12-personnel finance component; 13-a medical health component; 14-an educational training component; 31-a multimedia interface; 32-network interaction interface; 22 a-multimedia recognition detection module; 22 b-a character recognition module;
101-a processor; 102-a memory; 103-a bus; 104-communication interface.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
A robot process automation (PRA) finally realizes a process of process automation by simulating a manual operation of a user at a computer. In the industries such as financial industry, manufacturing industry, retail industry and the like, the business process management system with the PRA function can realize automatic operations such as automatic data filling and automatic product information acquisition, thereby reducing the error rate caused by manual filling and optimizing the business process. For example, in the financial industry, the method can be used in automated scenes such as pre-loan auditing of banks, corporate account checking of banks, value added tax declaration of banks, internal account balance inquiry, intelligent underwriting and the like, information is usually extracted from an unstructured information source and converted into structured data, and then the RPA automatically completes the business processes of auditing, submitting, data checking and the like. In the manufacturing industry, the RPA has many applications such as automatic generation of a bill of material, automatic tracking of logistics data, automatic creation and management of purchase orders, and the like, for example, the processes of automatically reading mails and logging in an SAP system to complete matching and verification of material data are efficient and are not prone to errors. In a retail scenario, the RPA may also be used for some series of automated operations after continuous scanning by a barcode scanner, such as automatically logging in a product information management system, automatically filling in a product code, querying and judging product information, filling in a new product result, writing back an update result, and generating a report feedback.
Therefore, the value of the RPA is to reduce error rate and risk and optimize the business process, but the PRA function of the existing business process management system can only operate in a networking environment, once a problem occurs in network connection, related data is lost, a task is stopped to be executed, and the business process cannot be continued. Meanwhile, the existing business process management system can only support single business process management and is difficult to meet the process management of complex business.
In order to solve the above problems, embodiments of the present invention provide a service flow management system, a method and an electronic device, where the service flow management system can keep a service flow management task running stably under a network outage condition, so as to reduce network dependency; and the service process management of various industries is realized through a component library of various services arranged in the robot process automation platform, and the problem of single use scene of the service process management system in the prior art is solved.
To facilitate understanding of the embodiment, a detailed description is first given of a business process management system disclosed in the embodiment of the present invention. Specifically, the schematic structural diagram of the system is shown in fig. 1, and includes: a management platform 100, a control unit 300, a service acquisition unit 400, and a robot process automation platform 200; the management platform 100 is connected to the robot process automation platform 200 through the control unit 300; the robot process automation platform 200 is connected to the management platform 100 through the service acquisition unit 400.
The management platform 100 is deployed in a cloud server; the robot process automation platform 200 is deployed in a local server; when the data transmission of the cloud server is normal, the management platform 100 transmits a control flow instruction to the robot flow automation platform 200 through the control unit 300; after receiving the control flow instruction, the robot flow automation platform 200 parses and stores the service data acquired by the service acquisition unit 400 in a local server deployed by the robot flow automation platform 200 according to the control flow instruction, and transmits the service data whose parsing and storage are completed to the management platform 100.
When data transmission of the cloud server is abnormal, analyzing and storing the service data acquired by the service acquisition unit 400 in a local server deployed by the robot flow automation platform 200 according to a preset control flow instruction; and transmitting the service data which is analyzed and stored to the management platform 100 until the data transmission of the cloud server is normal.
As can be seen from the schematic structural diagram of fig. 1, the business process management system is a data closed-loop system. The robot process automation platform 200 returns the automatically fed back data to the management platform 100 according to the service requirement; the management platform 100 performs optimization analysis on the data according to the business requirements, the business scenes, the optimal planning and other means, thereby realizing an efficient business processing process.
In some embodiments, the business process management system further comprises a callback control unit 500; the callback control unit 500 is connected with the management platform 100 and the robot process automation platform 200 through a built-in data transmission interface; the callback control unit 500 is configured to callback the service data in the management platform 100 to the robot flow automation platform 200 for a self-optimization process of the robot flow automation platform 200.
Specifically, as shown in fig. 2, the management platform 100 in fig. 2 is deployed in a cloud server; the robot process automation platform 200 is deployed in a local server; the control unit 300 may control the control parameters of the business process by using a corresponding central control device or a central control large screen. After the control unit 300 transmits the control flow instruction to the robot flow automation platform 200, the robot flow automation platform 200 analyzes and stores the service data acquired by the service acquisition unit 400 according to the control flow instruction, and may specifically acquire corresponding service data through a relevant service probe, thereby finally transmitting the service data that has been analyzed and stored to the management platform 100.
In this process, the management platform 100 may also call back the service data in the management platform 100 to the robot flow automation platform 200 through the data transmission interface built in the call-back control unit 500, so as to be used in the self-optimization process of the robot flow automation platform 200. The robot process automation platform 200 automatically adjusts and continuously performs self-optimization, thereby further improving the service processing efficiency.
Specifically, in some embodiments, robotic process automation platform 200, as shown in fig. 3, comprises: a main service unit 210 and a component library 220;
wherein, the component library at least comprises: business components 10 and functional components 20; the functional component 20 is connected with the main service unit 210 through the business component 10; the main service unit 210 includes a robot process automation system, which is deployed in a local server; the service component 10 is configured to parse the service data collected by the service obtaining unit 400; the function component 20 is used for analyzing the control flow instructions in the control unit according to functions.
In some embodiments, the functional components 20 include at least: a web page component 21, a multimedia recognition component 22, a system component 23, a network component 24, an office component 25, a log component 26; the business components 10 include at least: the system comprises an e-commerce logistics component 11, a personnel finance component 12, a medical health component 13 and an educational training component 14.
Wherein, the webpage component 21, the system component 23 and the office component 25 are all connected with the components in the business component 10; the multimedia recognition component 22 is connected with the main service unit 210 through the e-commerce logistics component 11; the network component 24 is connected with the main service unit 210 through the personnel finance component 12 and the medical health component 13 respectively; the log component 26 is connected to the main service unit 210 through the educational training component 14.
In some embodiments, the functional component 20 further includes: a commissioning component 27; the debugging component 27 is connected with the components in the service component 10; the debugging component 27 is used for debugging components contained in the business component.
In some embodiments, robotic process automation platform 200 further comprises: a multimedia interface 31 and a network interaction interface 32; wherein, the multimedia recognition component 22 transmits multimedia information through the multimedia interface 31; the network component 24 communicates network interaction information via the network interaction interface 32.
The robot process automation platform 200 in fig. 3 can be understood as a modular model structure diagram, which includes the functional components 20 and the business components 10. The multimedia interface 31 and the network interactive interface 32 can be understood as public libraries, which include various SDKs and API interfaces, for example, the multimedia interface 31 may include multimedia public libraries such as streaming media SDK, decoding SDK, etc.; network interactive interface 32 may include OkHttp, Retrofit, and other network transmission API interfaces. The support is provided for the upper functional component 20 through a plurality of SDKs and a framework of underlying technologies, the functional component 20 can adapt to various service scenes to the maximum extent, and the support can be realized through universal components such as a webpage component 21, a multimedia recognition component 22, a system component 23, an office component 25 related to office operation and the like. The data stream of the functional components is finally transmitted to the business components 10, including an e-commerce logistics component 11, a personnel finance component 12, a medical health component 13, an educational training component 14 and the like.
In some embodiments, the multimedia recognition component 22, as shown in fig. 4, includes: a multimedia recognition detection module 22a and a character recognition module 22 b;
the multimedia recognition and detection module 22a is provided with a multimedia recognition and detection model; the multimedia recognition detection model comprises: a combination of one or more of a Yolo model, a Fast RCNN model, an RPN model, and a DETR model; the character recognition module 22b is provided with a character recognition model; the character recognition model includes: the CTPN model, the CRNN model and the Attention model are combined by one or more of the models.
During the processing process of the multimedia recognition component 22, the RPA robot automatically captures elements to be recognized, including static images, texts, dynamic videos and other information, according to the service requirements during the execution process, extracts data meeting the specific service requirements, and transmits the data to the platform for the next service operation. The above recognition process is realized by the relevant detection models in the multimedia recognition detection module 22a and the character recognition module 22b, so as to extract the information such as the characters, the main body types, and the like in the multimedia information.
Fig. 5 shows a schematic structure of the multimedia recognition component 22 in the process flow. When the robot process automation platform 200 in fig. 5 performs process processing by using the multimedia recognition component 22, the built-in RPA module is selected to send an image automatic acquisition instruction; after receiving the image automatic acquisition instruction, the multimedia recognition component 22 automatically captures elements to be recognized, including static images, texts, dynamic videos and other information, by using a built-in image recognition module according to service requirements, and inputs the information into a relevant knowledge graph module; wherein include in the knowledge map module: a multimedia recognition detection module 22a and a character recognition module 22 b. The collected multimedia data is subjected to image recognition through a multimedia recognition detection module 22 a; the collected multimedia data completes the character recognition through the character recognition module 22 b; finally, the output result of the image and the text is obtained through the multimedia recognition component 22, and finally uploaded to the management platform 100 for processing.
Therefore, as can be seen from the service process management system mentioned in the above embodiment, the service process management system can keep the stable operation of the service process management task under the condition of network disconnection, thereby reducing the network dependency; the service process management of various industries can be realized through a component library of various services arranged in the robot process automation platform; for example, by analyzing and processing static and dynamic images, the defect that an RPA system cannot process dynamic images such as videos can be overcome, and the problem that the service flow management system in the prior art is single in use scene is solved.
Corresponding to the above embodiment, this embodiment further provides a business process management method, as shown in fig. 6, where the method is applied to the business process management system mentioned in the above embodiment; wherein, the business process management system includes: the system comprises a management platform, a control unit, a service acquisition unit and a robot process automation platform; specifically, the method comprises the following steps:
and step S601, the control management platform sends a control flow instruction to the robot flow automation platform through the control unit.
Specifically, the management platform is deployed in a cloud server; the robot process automation platform is deployed on a local server; when the data transmission of the cloud server is normal, the management platform transmits the control flow instruction to the robot flow automation platform through the control unit.
Step S602, after the robot flow automation platform receives the control flow instruction, the service data acquired by the service acquisition unit is analyzed and stored in the local server deployed by the robot flow automation platform according to the control flow instruction.
And after receiving the control flow instruction, the robot flow automation platform analyzes and stores the service data acquired by the service acquisition unit according to the control flow instruction in a local server deployed by the robot flow automation platform. After the analysis and storage are completed, the data needs to be transmitted to a management platform, because a network problem may occur in the process, the connection state of the cloud server needs to be judged in real time, and when the data transmission of the cloud server is normal, the step S603 is executed; if the data transmission of the cloud server is abnormal, the data transmission can not be carried out, but the locally transmitted service data can still be analyzed and stored.
Step S603, when data transmission of the cloud server where the management platform is located is normal, transmitting the service data that has been analyzed and stored to the management platform.
Therefore, the business process management system can keep the stable operation of the business process management task under the condition of network disconnection, and reduces the network dependency; and the service process management of various industries is realized through a component library of various services arranged in the robot process automation platform, and the problem of single use scene of the service process management system in the prior art is solved.
Fig. 7 is a signaling diagram of the service flow management method in an offline state. The Server in fig. 7 is a cloud Server of the management platform; RobotBox is a local server of the robot process automation platform. Firstly, the cloud server sends an offline API synchronization request to the local server, the local server checks and converts parameters of the request after receiving the request, and then redis cache and queue cache are checked according to parameter objects. The cloud server operates based on business transmission to the local server under the condition that data transmission is normal, the local server correspondingly analyzes the parameters and stores the parameters in the local task queue, and a calculation state and a calculation result are returned to the cloud server by inquiring the result of the calculation queue. See in particular the lower part of fig. 7.
When the local server needs to be operated off line due to network problems, the local server performs service operation according to preset data, and the problem that local data cannot be transmitted due to special network limitation is avoided. And when the network returns to normal, returning a historical calculation result, the taskId with the unique number corresponding to the service and the calculation state corresponding to the taskId to the cloud server. See in particular the upper half of fig. 7.
The following takes a scenario of identifying the content of a license as an example to describe the business process management method, and as shown in fig. 8, the method includes:
in step S801, a user inputs a picture to be processed.
The picture to be processed is acquired through the multimedia recognition component.
Step S802, judging whether the picture is clear.
If yes, executing step S803 and step S804 respectively; if not, step S805 is performed. The definition detection can be realized by a related definition algorithm in the multimedia recognition component, and is not described in detail.
Step S805 exits and lets the user input a clear picture.
At this time, the subsequent recognition process is stopped, and the user waits for the input of the picture again, so as to re-execute step S801.
In step S803, a candidate frame is extracted according to the key information label by using the detection model.
The process can be realized by a relevant artificial intelligence model in the multimedia recognition detection module.
Step S804, extracting all text boxes and text contents in the picture by using the text recognition model.
This process may be implemented by an associated character recognition model in the character recognition module.
In step S806, fusion processing is performed on the candidate frame.
And fusing the candidate frame given in the step S803 and the text content given in the step S804 according to the key information label.
Step S807, a post-processing procedure.
And performing post-processing operation on the fused candidate box result and the character content recognition result to obtain key information.
And step S808, outputting a key information identification result.
The identification result includes name information, legal person information, and the like.
Through the process, the process of identifying and acquiring the content of the business license is completed and is finally used in the business process management process, so that the execution efficiency of the business process is improved.
The implementation principle and the generated technical effect of the business process management method provided by the embodiment of the invention are the same as those of the embodiment of the business process management system, and for the sake of brief description, corresponding contents in the embodiment can be referred to where the embodiment is not mentioned.
The embodiment also provides an electronic device, a schematic structural diagram of which is shown in fig. 9, and the electronic device includes a processor 101 and a memory 102; the memory 102 is used for storing one or more computer instructions, and the one or more computer instructions are executed by the processor to implement the business process management method.
The server shown in fig. 9 further includes a bus 103 and a communication interface 104, and the processor 101, the communication interface 104, and the memory 102 are connected through the bus 103.
The Memory 102 may include a high-speed Random Access Memory (RAM) and may also include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. Bus 103 may be an ISA bus, PCI bus, EISA bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 9, but this does not indicate only one bus or one type of bus.
The communication interface 104 is configured to connect with at least one user terminal and other network units through a network interface, and send the packaged IPv4 message or IPv4 message to the user terminal through the network interface.
The processor 101 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 101. The Processor 101 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component. The various methods, steps, and logic blocks disclosed in the embodiments of the present disclosure may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present disclosure may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 102, and the processor 101 reads the information in the memory 102 and completes the steps of the method of the foregoing embodiment in combination with the hardware thereof.
Embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, performs the steps of the method of the foregoing embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus, and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, a division of a unit is merely a division of one logic function, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art will understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A business process management system, the system comprising: the system comprises a management platform, a control unit, a service acquisition unit and a robot process automation platform; the management platform is connected with the robot process automation platform through a control unit; the robot process automation platform is connected with the management platform through the service acquisition unit;
the management platform is deployed on a cloud server; the robot process automation platform is deployed on a local server;
when the data transmission of the cloud server is normal, the management platform transmits a control flow instruction to the robot flow automation platform through the control unit; after receiving the control flow instruction, the robot flow automation platform analyzes and stores the service data acquired by the service acquisition unit in a local server deployed by the robot flow automation platform according to the control flow instruction; transmitting the service data which is analyzed and stored to the management platform;
when the data transmission of the cloud server is abnormal, analyzing and storing the service data acquired by the service acquisition unit in a local server deployed by the robot flow automation platform according to a preset control flow instruction; and transmitting the service data which is analyzed and stored to the management platform until the data transmission of the cloud server is normal.
2. The business process management system of claim 1 wherein the robotic process automation platform comprises: a main service unit and a component library;
wherein the component library comprises at least: a business component and a functional component; the functional component is connected with the main service unit through the business component; the main service unit comprises a robot flow automation system, and the robot flow automation system is deployed in a local server; the service component is used for analyzing the service data acquired by the service acquisition unit; and the functional component is used for analyzing the control flow instructions in the control unit according to functions.
3. The business process management system of claim 2 wherein said functional components comprise at least: the system comprises a webpage component, a multimedia identification component, a system component, a network component, an office component and a log component; the business components at least comprise: the system comprises an e-commerce logistics component, a personnel financial component, a medical health component and an educational training component;
the webpage component, the system component and the office component are all connected with the components in the business component; the multimedia identification component is connected with the main service unit through the e-commerce logistics component; the network component is connected with the main service unit through the personnel finance component and the medical health component respectively; the log component is connected with the main service unit through an educational training component.
4. The business process management system of claim 3 wherein said functional components further comprise: debugging the component; the debugging component is connected with the component in the service component; the debugging component is used for debugging the components contained in the business component.
5. The business process management system of claim 3, wherein the robotic process automation platform further comprises: a multimedia interface and a network interaction interface;
the multimedia identification component transmits multimedia information through the multimedia interface;
and the network component transmits the network interaction information through the network interaction interface.
6. The business process management system of claim 3 wherein said multimedia recognition component comprises: the multimedia recognition detection module and the character recognition module;
the multimedia recognition detection module is internally provided with a multimedia recognition detection model; the multimedia recognition detection model comprises: a combination of one or more of a Yolo model, a Fast RCNN model, an RPN model, and a DETR model;
a character recognition model is arranged in the character recognition module; the character recognition model includes: the CTPN model, the CRNN model and the Attention model are combined by one or more of the models.
7. The business process management system of claim 1, further comprising a callback control unit; the callback control unit is connected with the management platform and the robot flow automation platform through a built-in data transmission interface;
the callback control unit is used for calling back the service data in the management platform to the robot flow automation platform for the self optimization process of the robot flow automation platform.
8. A business process management method, wherein the method is applied to the business process management system of any one of claims 1 to 7; wherein, the business process management system comprises: the system comprises a management platform, a control unit, a service acquisition unit and a robot process automation platform;
the method comprises the following steps:
controlling the management platform to send a control flow instruction to the robot flow automation platform through the control unit;
after receiving the control flow instruction, the robot flow automation platform analyzes and stores the service data acquired by the service acquisition unit in a local server deployed by the robot flow automation platform according to the control flow instruction;
and when the data transmission of the cloud server where the management platform is located is normal, transmitting the service data which is analyzed and stored to the management platform.
9. An electronic device, comprising: a processor and a storage device; the storage means has stored thereon a computer program which, when executed by the processor, implements the steps of the business process management method of claim 8.
10. A computer-readable storage medium, on which a computer program is stored, the computer program, when being executed by a processor, implementing the steps of the business process management method according to any one of the claims 1 to 7.
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