CN114338364B - Business process management system, method and electronic equipment - Google Patents
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Abstract
The invention provides a business process management system, a business process management method and electronic equipment, which relate to the technical field of process automation, wherein the business process management system can keep the stable operation of business process management tasks under the condition of network disconnection, and reduces the network dependence; and the service flow management of multiple industries is realized through the component library of multiple services arranged in the robot flow automation platform, and the problem of single service scene of the service flow 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 business process management system, a business process management method, and an electronic device.
Background
Robotic process automation (Robotic process automation, PRA) ultimately implements the process of process automation by mimicking the manual operation of a user at the computer end. In the industries of financial industry, manufacturing industry, retail industry and the like, by using a business process management system with a PRA function, automatic operations such as automatic data filling, automatic product information acquisition and the like can be realized, so that the error rate caused by manual filling is reduced, and the business process is optimized.
The PRA function of the existing business process management system can only operate in a networking environment, and once network connection has a problem, related data is lost, tasks are stopped from being executed, so that business processes 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 businesses.
In summary, the business process management system in the prior art also has: strong network dependence and single use scene.
Disclosure of Invention
Therefore, the invention aims to provide a business process management system, a business process management method and electronic equipment, wherein the business process management system can keep the stable operation of business process management tasks under the condition of network disconnection, and reduces the network dependence; and the service flow management of multiple industries is realized through the component library of multiple services arranged in the robot flow automation platform, and the problem of single service scene of the service flow management system in the prior art is solved.
In a first aspect, an embodiment of the present invention provides a business process management system, including: the system comprises a management platform, a control unit, a service acquisition unit and a robot flow automation platform; the management platform is connected with the robot flow automatic platform through the control unit; the robot flow automatic platform is connected with the management platform through the service acquisition unit;
the management platform is deployed on the cloud server; the robot flow 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 a 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.
In some embodiments, a robotic process automation platform includes: a main service unit and a component library;
wherein, the subassembly storehouse includes at least: 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 which 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 the functions.
In some embodiments, the functional component includes at least: a webpage component, a multimedia identification component, a system component, a network component, an office component and a log component; the business component at least comprises: the system comprises an electronic commerce logistics component, a personnel financial component, a medical health component and an education 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 financial component and the medical health component respectively; the log component is connected with the main service unit through the education and training component.
In some embodiments, the functional component further comprises: a debugging component; the debugging component is connected with the components in the business 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 identification component transmits the multimedia information through the multimedia interface;
the network component transmits the network interaction information through the network interaction interface.
In some embodiments, the multimedia identifying component includes: a multimedia recognition detection module and a character recognition module;
wherein, the multimedia recognition detection module is provided with a multimedia recognition detection model; the multimedia recognition detection model comprises: YOLO model, fast RCNN model, RPN model, DETR model, combinations of one or more of the foregoing;
the character recognition module is provided with a character recognition model; the character recognition model includes: CTPN model, CRNN model, attention model, combinations of one or more of the foregoing.
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;
the callback control unit is used for callback the business data in the management platform to the robot flow automation platform and is used for self-optimizing 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, business process management system includes: the system comprises a management platform, a control unit, a service acquisition unit and a robot flow 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 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.
In a third aspect, an embodiment of the present invention provides an electronic device, including: a processor and a storage device; the storage means has stored thereon a computer program which, when run by a processor, performs the steps of the business process management method as provided in 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, where the computer program is executed by a processor to implement the steps of the business process management method provided in the first aspect.
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 components: the system comprises a management platform, a control unit, a service acquisition unit and a robot flow automation platform; the management platform is connected with the robot flow automatic platform through the control unit; the robot flow automatic platform is connected with the management platform through the service acquisition unit; the management platform is deployed on the cloud server; the robot flow 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 a 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. In the process of managing the business process by using the business process management system, firstly, a control management platform sends a control process instruction to a robot process automation platform through a 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 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 business process management tasks under the condition of network disconnection, and reduces the network dependence; and the service flow management of multiple industries is realized through the component library of multiple services arranged in the robot flow automation platform, and the problem of single service scene of the service flow 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 above objects, features and advantages of the present invention more 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 that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
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 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 identification 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 business process management method according to an embodiment of the present invention;
fig. 7 is a signaling diagram of a business process management method according to an embodiment of the present invention;
FIG. 8 is a flowchart of a business process management method for identifying business license content 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 flow automation platform; 300-a control unit; 400-a service acquisition unit; 500-callback control unit;
210-a main service unit; 220-component library; 10-business components; 20-a functional component; a 21-web page component; a 22-multimedia identification component; 23-system components; 24-network component; 25-office components; a 26-log component; 27-a debug component; 11-an e-commerce logistics component; 12-personnel financial components; 13-a medical health component; 14-an educational training component; 31-a multimedia interface; 32-a network interaction interface; 22 a-a multimedia identification detection module; 22 b-a character recognition module;
a 101-processor; 102-memory; 103-bus; 104-communication interface.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, 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 embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Robotic process automation (Robotic process automation, PRA) ultimately implements the process of process automation by mimicking the manual operation of a user at the computer end. In the industries of financial industry, manufacturing industry, retail industry and the like, by using a business process management system with a PRA function, automatic operations such as automatic data filling, automatic product information acquisition and the like can be realized, so that the error rate caused by manual filling is reduced, and the business process is optimized. For example, in the financial industry, the method can be used in automation scenes such as pre-loan auditing of banks, checking accounts of the same bank, reporting value-added tax of banks, inquiring the balance of internal accounts, intelligent checking and the like, information is generally extracted from unstructured information sources and is converted into structured data, and then the auditing, reporting and data checking and the like business processes are automatically completed by the RPA. In the manufacturing industry, the RPA has many applications such as automatic generation of bill of materials, automatic tracking of logistics data, automatic creation and management of purchase orders, and the like, for example, the RPA automatically reads mails and logs in an SAP system to complete the process of matching and checking the bill of materials, thereby being efficient and not easy to make mistakes. The RPA can also be used for some column automation operations after continuous scanning by a bar code scanner, such as automatically logging in a product information management system, automatically filling in a product code, inquiring and judging product information, filling in a new product result, writing back an updated result and generating report feedback.
Therefore, the value of the RPA is to reduce the error rate and risk and optimize the business process, but the PRA function of the existing business process management system can only operate in the networking environment, once the network connection has a problem, the related data is lost, the 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 businesses.
Aiming at the problems, the embodiment of the invention provides a business process management system, a business process management method and electronic equipment, wherein the business process management system can keep the stable operation of business process management tasks under the condition of network disconnection, and reduces the network dependence; and the service flow management of multiple industries is realized through the component library of multiple services arranged in the robot flow automation platform, and the problem of single service scene of the service flow management system in the prior art is solved.
For the sake of understanding the present embodiment, a detailed description is first provided of a business process management system disclosed in the present embodiment. Specifically, the structural schematic 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 flow automation platform 200; the management platform 100 is connected to the robot flow automation platform 200 through the control unit 300; the robot flow automation platform 200 is connected to the management platform 100 through the service acquisition unit 400.
The management platform 100 is deployed on a cloud server; the robotic process automation platform 200 is deployed at 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 analyzes 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 after the analysis and storage to the management platform 100.
When the 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 flow automation platform 200 returns the automatically fed-back data to the management platform 100 through the service requirement; and the management platform 100 performs optimization analysis on the data according to the means such as service requirements, service scenes, optimal planning and the like, so that an efficient service processing process is realized.
In some embodiments, the business process management system further includes a callback control unit 500; the callback control unit 500 is connected with the management platform 100 and the robot flow automation platform 200 through a built-in data transmission interface; the callback control unit 500 is configured to callback service data in the management platform 100 to the robotic flow automation platform 200, and is used for self-optimization of the robotic flow automation platform 200.
As shown in fig. 2, the management platform 100 in fig. 2 is deployed on a cloud server; the robotic process automation platform 200 is deployed at a local server; the control unit 300 may control the control parameters of the business process by means of 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 specifically, the corresponding service data can be acquired through the relevant service probe, so that the service data after the analysis and storage are finally transmitted 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 robotic flow automation platform 200 through the data transmission interface built in the call back control unit 500, for use in the self-optimization process of the robotic flow automation platform 200. The robot flow automation platform 200 automatically adjusts and continuously performs self-optimization, thereby further improving the service processing efficiency.
Specifically, in some embodiments, the robotic process automation platform 200, as shown in fig. 3, includes: a main service unit 210 and a component library 220;
wherein, the subassembly storehouse includes at least: business component 10 and functional component 20; the functional component 20 is connected with the main service unit 210 through the service component 10; the main service unit 210 includes a robot flow automation system deployed in a local server; the service component 10 is configured to parse service data acquired by the service acquiring unit 400; the function component 20 is configured to parse control flow instructions in the control unit according to the function.
In some embodiments, the functional component 20 includes at least: a web page component 21, a multimedia identification component 22, a system component 23, a network component 24, an office component 25, a log component 26; the business component 10 includes at least: an e-commerce logistics component 11, a personnel finance component 12, a medical health component 13 and an educational training component 14.
The web page component 21, the system component 23 and the office component 25 are all connected with 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 journal component 26 is coupled to the main service unit 210 through the educational training component 14.
In some embodiments, the functional component 20 further comprises: a commissioning component 27; the debugging component 27 is connected with components in the business component 10; the debugging component 27 is used for debugging components contained in the business components.
In some embodiments, the robotic process automation platform 200 further comprises: a multimedia interface 31 and a network interaction interface 32; wherein the multimedia recognition component 22 transmits the multimedia information through the multimedia interface 31; the network component 24 communicates network interaction information via the network interaction interface 32.
The schematic diagram of the robotic flow automation platform 200 in fig. 3 may be understood as a modular model structure schematic diagram, which includes the functional components 20 and the business components 10. The multimedia interface 31 and the network interaction interface 32 can be understood as public libraries, and these public libraries include various SDKs and API interfaces, for example, the multimedia interface 31 may include multimedia public libraries such as streaming media SDKs and decoding SDKs; network interactive interface 32 may include a network transport API interface such as OkHttp, retrofit. The support is provided for the upper layer functional component 20 through a plurality of SDKs and frameworks of the bottom layer technology, and the functional component 20 adapts to various business scenes to the maximum extent, and can be realized through general components such as a webpage component 21, a multimedia identification component 22, a system component 23, an office component 25 relevant to office operation and the like. The data streams of the functional components are ultimately transmitted to business components 10, including e-commerce logistics components 11, personnel finance components 12, medical health components 13, educational training components 14, and the like.
In some embodiments, the multimedia identifying component 22, as shown in fig. 4, comprises: a multimedia recognition detection module 22a and a character recognition module 22b;
wherein, the multimedia recognition detection module 22a is provided with a multimedia recognition detection model; the multimedia recognition detection model comprises: YOLO model, fast RCNN model, RPN model, DETR model, combinations of one or more of the foregoing; the character recognition module 22b is provided with a character recognition model; the character recognition model includes: CTPN model, CRNN model, attention model, combinations of one or more of the foregoing.
When the multimedia recognition component 22 processes the flow, the RPA robot automatically captures the elements to be recognized, including static images, texts, dynamic videos, and other information, according to the service requirements during the execution process, extracts the data meeting the specific service requirements, and transmits the extracted data to the platform for the next service operation. The above recognition process is implemented by the relevant detection models in the multimedia recognition detection module 22a and the character recognition module 22b, so as to extract the text, the main body type and other information in the multimedia information.
A schematic structure of the above-mentioned multimedia recognition component 22 in the process flow is shown in fig. 5. When the robot flow automation platform 200 in fig. 5 performs flow processing by using the multimedia recognition component 22, an image automatic acquisition instruction is sent by using a built-in RPA module thereof; after the multimedia recognition component 22 receives the image automatic acquisition instruction, the built-in image recognition module is utilized to automatically capture the elements to be recognized, including static images, texts, dynamic videos and other information, according to the service requirement, and the information is input into the related knowledge graph module; the knowledge graph module comprises: the multimedia recognition detection module 22a and the character recognition module 22b. The collected multimedia data is subjected to image recognition by the multimedia recognition detection module 22 a; the collected multimedia data is used for completing character recognition through a character recognition module 22b; the output results of the images and the characters are finally obtained through the multimedia recognition component 22, and finally uploaded to the management platform 100 for processing.
Therefore, according to the business process management system in the embodiment, the business process management system can keep the business process management task stably running under the condition of network disconnection, so that the network dependence is reduced; the service flow management of multiple industries is realized through the component library of multiple services arranged in the robot flow automation platform; for example, by means of static and dynamic image analysis processing, the defect that an RPA system cannot process dynamic images such as videos can be overcome, and the problem that a service flow management system in the prior art is single in use scene is solved.
Corresponding to the above embodiment, this embodiment also 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, business process management system includes: the system comprises a management platform, a control unit, a service acquisition unit and a robot flow automation platform; specifically, the method comprises the following steps:
in 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 on a cloud server; the robot flow 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 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.
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. After the analysis and storage are completed, the analysis and storage are required to be transmitted to a management platform, and because network problems may exist in the process, real-time judgment is required to be performed on the connection state of the cloud server, and when the data transmission of the cloud server is normal, step S603 is executed; if the data transmission of the cloud server is abnormal, the local transmitted service data can be analyzed and stored although the data transmission cannot be performed.
Step S603, when the data transmission of the cloud server where the management platform is located is normal, the service data which is analyzed and stored is transmitted to the management platform.
Therefore, the business process management system can keep the stable operation of business process management tasks under the condition of network disconnection, and reduces the network dependence; and the service flow management of multiple industries is realized through the component library of multiple services arranged in the robot flow automation platform, and the problem of single service scene of the service flow management system in the prior art is solved.
Fig. 7 is a signaling diagram of the business process 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 robotic flow automation platform. Firstly, a cloud server sends an offline API synchronization request to a local server, the local server checks and converts parameters of the request after receiving the request, and then the redis cache and the queue cache are checked according to parameter objects. And under the normal condition of data transmission, the cloud server operates based on the service transmission to the local server, the local server correspondingly analyzes the parameters and stores the parameters in a local task queue, and the calculation state and the 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 run offline due to network problems, the local server performs service operation according to preset data, so that the problem that local data cannot be transmitted due to special network limitation is avoided. And after the network returns to normal, returning a historical calculation result, a unique number taskId corresponding to the service and a calculation state corresponding to the taskId to the cloud server. See in particular the upper part of fig. 7.
The business process management method is described below by taking a scenario of identifying business license content as an example, and specifically as shown in fig. 8, the business process management 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 so, step S803 and step S804 are performed, respectively; if not, step S805 is performed. The definition detection can be realized through a related definition algorithm in the multimedia recognition component, and the description is omitted.
Step S805, exit and let the user input a clear picture.
At this time, the subsequent recognition process is stopped, and the user is waited to input the picture again, and then step S801 is performed again.
Step S803, extracting candidate frames according to the key information labels by using the detection model.
The process may be implemented by an associated artificial intelligence model in the multimedia recognition detection module.
Step S804, extracting all text frames 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.
Step S806, fusion processing is carried out on the candidate frames.
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, post-processing.
And carrying out post-processing operation on the fused candidate frame result and the text content identification result to obtain key information.
Step S808, outputting the 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 business license content is completed, and the business license content is finally used in the business process management process, so that the execution efficiency of the business process is improved.
The business process management method provided by the embodiment of the present invention has the same implementation principle and technical effects as those of the foregoing business process management system embodiment, and for brevity description, reference may be made to corresponding contents in the foregoing embodiment where the embodiment portion is not mentioned.
The embodiment also provides an electronic device, and a schematic structural diagram of the electronic device is shown in fig. 9, where the device includes a processor 101 and a memory 102; the memory 102 is configured to store one or more computer instructions, where the one or more computer instructions are executed by the processor to implement the business process management method described above.
The server shown in fig. 9 further comprises a bus 103 and a communication interface 104, the processor 101, the communication interface 104 and the memory 102 being connected by the bus 103.
The memory 102 may include a high-speed random access memory (RAM, random Access Memory), and may further include a non-volatile memory (non-volatile memory), such as at least one magnetic disk memory. Bus 103 may be an ISA bus, a PCI bus, an EISA bus, or the like. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, only one bi-directional arrow is shown in fig. 9, but not 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 encapsulated IPv4 message or the IPv4 message to the user terminal through the network interface.
The processor 101 may be an integrated circuit chip with signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in the processor 101 or instructions in the form of software. The processor 101 may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU for short), a network processor (Network Processor, NP for short), etc.; but also digital signal processors (Digital Signal Processor, DSP for short), application specific integrated circuits (Application Specific Integrated Circuit, ASIC for short), field-programmable gate arrays (Field-Programmable Gate Array, FPGA for short) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The various methods, steps and logic blocks of the disclosure in the embodiments of the 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 a method disclosed in connection with the embodiments of the present disclosure may be embodied directly in hardware, in a decoded processor, or in a combination of hardware and software modules in a decoded processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in the memory 102, and the processor 101 reads information in the memory 102, and in combination with its hardware, performs the steps of the method of the previous embodiment.
The present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method of the preceding embodiments.
In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods may be implemented in other ways. The above-described apparatus embodiments are merely illustrative, for example, the division of units is merely a logical function division, and there may be other manners of division in actual implementation, and for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some communication interface, indirect coupling or communication connection of devices or units, electrical, mechanical, or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in 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 this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method of 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, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Finally, it should be noted that: the above examples are only specific embodiments of the present invention for illustrating the technical solution of the present invention, but not for limiting the scope of the present invention, and although the present invention has been described in detail with reference to the foregoing examples, it will be understood by those skilled in the art that the present invention is not limited thereto: any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or perform equivalent substitution of some of the technical features, while remaining within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.
Claims (8)
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 flow automation platform; the management platform is connected with the robot flow automation platform through a control unit; the robot flow automation platform is connected with the management platform through the service acquisition unit;
the management platform is deployed on a cloud server; the robot flow 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; transmitting the service data which is analyzed and stored to the management platform until the data transmission of the cloud server is normal;
the robot 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 service component; the main service unit comprises a robot flow automation system which 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;
the functional component comprises at least: a web page component, a multimedia recognition component, a system component, a network component, an office component, and a log component; the business component at least comprises: an e-commerce logistics component, a personnel finance component, a medical health component and an education training component;
the webpage component, the system component and the office component are all connected with 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 finance component and the medical health component respectively; the log component is connected with the main service unit through the education and training component.
2. The business process management system according to claim 1, wherein said functional component further comprises: a debugging component; the debugging component is connected with the components in the business component; the debugging component is used for debugging the components contained in the business component.
3. The business process management system according to claim 1, wherein the robotic process automation platform further comprises: a multimedia interface and a network interaction interface;
wherein, the multimedia recognition component transmits multimedia information through the multimedia interface;
and the network component transmits network interaction information through the network interaction interface.
4. The business process management system according to claim 1, wherein the multimedia identifying component comprises: a multimedia recognition detection module and a character recognition module;
wherein, the multimedia recognition detection module is provided with a multimedia recognition detection model; the multimedia recognition detection model comprises one or a combination of a plurality of models of a YOLO model, a Fast RCNN model, an RPN model and a DETR model;
the character recognition module is provided with a character recognition model; the character recognition model comprises one or a combination of a plurality of CTPN models, CRNN models and Attention models.
5. The business process management system according to claim 1, wherein 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;
the callback control unit is used for callback the business data in the management platform to the robot flow automation platform and is used for self-optimizing process of the robot flow automation platform.
6. A business process management method, characterized in that the method is applied to the business process management system of any one of the above claims 1 to 5; wherein, the business process management system includes: the system comprises a management platform, a control unit, a service acquisition unit and a robot flow 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.
7. 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 business process management method according to claim 6.
8. A computer readable storage medium having a computer program stored thereon, characterized in that the computer program when executed by a processor implements the business process management method of claim 6.
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| TWI818721B (en) * | 2022-09-12 | 2023-10-11 | 彰化商業銀行股份有限公司 | Robotic process automation fast loan review system with breakpoint responsiveness and method thereof |
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