Work order RPA processing method and system

Abstract

The invention discloses a work order RPA processing method and system. The method comprises the following steps: obtaining a work order to be processed from a work order system; classifying the to-be-distributed data into automatic processing work orders and manual processing work orders according to business requirements; the automatic processing work order is processed through RPA, and feedback is carried out through a reply mode of a preset template; and writing back the automatic processing work order and the manual processing work order, and feeding back to the work order system. According to the method, the total quantity of work orders needing to be processed can be greatly reduced, the work orders are classified after being collected from a work order system, workers only need to pay attention to the work orders under special conditions, automatic processing is carried out through RPA, manual supervision is not needed, and the labor cost is greatly saved; and manual intervention is selectively performed through configuration of manual auditing, so that the processing accuracy is improved.

Description

Technical Field

[0001] The present application relates to a work order RPA processing method and system. Background Art

[0002] Work order, according to its literal meaning, can be understood as a work document. Work order defines a simple maintenance or manufacturing plan consisting of one or more operations, and is the basis for the superior department to issue tasks and the subordinate department to receive tasks. Work order can be independent or part of a large project, and sub-work orders can be defined for work order.

[0003] With the rapid development of information technology, the generation, distribution, and processing of work orders have mostly been changed from offline paper to online paperless, which has greatly improved work efficiency. Most work orders in the highway industry are managed online, relying on the full process of online office work in the work order system, avoiding the waiting process of the circulation of work orders in various links. With the maturity and development of the business, the number of work orders has increased and become more detailed, which will generate many fixed format processing or no processing but only reply work orders. It will take a lot of manpower to identify them, and the processing methods are mostly similar mechanized and repetitive operations, which is time-consuming and labor-intensive.

[0004] Robotic process automation (RPA) is a business process automation technology based on software robots and artificial intelligence (AI). The RPA system is an application that provides an alternative way to automate end-user manual operations by mimicking the manual operations of end-users on computers. Summary of the invention

[0005] In order to solve the above problems, the present application proposes a work order RPA processing method, including the following steps:

[0006] Get pending work orders from the work order system;

[0007] According to business needs, the data to be distributed is classified into automatic processing work orders and manual processing work orders;

[0008] Use RPA to automatically process work orders, and provide feedback through pre-set template responses;

[0009] For automatically processed work orders and manually processed work orders, feedback is given to the work order system. This application can significantly reduce the total number of work orders that need to be processed. After being collected from the work order system, they will be classified. Staff only need to pay attention to work orders with special circumstances, which are automatically processed by RPA without manual supervision, greatly saving labor costs; and by configuring manual review, selective manual intervention can be performed to improve processing accuracy.

[0010] Preferably, the work order includes a work order overview, vehicle information, audit data, trip information, road section information, and cost information.

[0011] Preferably, the work order overview includes the work order number, work order title, work order status, and picture attachments; the vehicle information includes the license plate number, color, model, size, and number of axles of the passing vehicle; the audit data includes the data number and the provinces passed through; the trip information includes the pass mark, entry station, entry time, exit station, exit time, pass medium, pass gantry information, pass section information, and audit section information.

[0012] Preferably, the process of manual confirmation is also included after RPA processing. Scenarios that require manual confirmation mainly include situations where the work order extracted by RPA lacks key information; a work order involves multiple transport management units and the units need to reconfirm the results of the automatically processed work order. There are many complex evasion situations in the work order suspected of evading fees. In the process of fitting the vehicle trajectory profile, the gantry information may be lost, and errors may occur in the fitting process. In order to reduce errors, the transport management unit may require the auditor to reconfirm the work order. The main steps are that before feedback to the work order system, a list of manual pending review work orders will be generated, which will be reviewed by the auditor designated by the unit. Only those that pass the review will be synchronized to the work order system; those that fail the review need to be supplemented manually for audit evidence, and then enter the manual pending review list after verification according to the synchronization algorithm, and continue manual review. If you choose not to require manual review, after RPA processing, it will be directly synchronized and fed back to the work order system according to the set RPA synchronization algorithm.

[0013] Preferably, the data to be distributed is classified in the following manner:

[0014] Self-verification of work orders;

[0015] For work orders that pass self-verification, they are set to be processed automatically, otherwise they are set to be processed manually.

[0016] Preferably, the self-verification is performed as follows:

[0017] Document missing check;

[0018] Check the data of the work order to see if there is any missing data. If there is any missing data, set it as a manual processing work order.

[0019] Preliminary data verification:

[0020] Compare the vehicle information obtained at the entry station and the exit station. If the vehicle information is different, set the work order as a manual processing work order;

[0021] Reasonableness check:

[0022] The entry station, exit station and gantry information are obtained through the work order to obtain the passage path; in case of gantry information loss during the passage process, automatic fitting is performed, and the possible passage path is found based on the topological relationship of the gantry. The upstream gantry information is traced back and combined with the road section, passage time and other information to fit the vehicle portrait and restore the vehicle passage trajectory;

[0023] Through the entry time, entry vehicle model, entry license plate, entry axle number, entry vehicle type, entry passage medium, and exit time, exit vehicle model, exit license plate, exit axle number, exit vehicle type, and exit passage medium of the work order, the passage time and verified vehicle information are obtained;

[0024] The travel speed is obtained through the travel path and travel time;

[0025] Determine whether the speed is within the reasonable speed range. If it is not within the reasonable speed range, set the work order to be manually processed. This application obtains the time corresponding to the vehicle through the entry time and exit time, and then obtains its possible path through the fitting of the passage path. It can accurately check the behavior of changing the license plate or traffic ETC card.

[0026] Preferably, the RPA processes the work order in the following manner:

[0027] According to the audit evidence provided by the work order, fit the passage path to confirm the amount receivable; determine the discount rate based on the passage time and the pre-set discount time period;

[0028] Basis: Amount receivable * discount rate = actual amount received, calculate the actual amount received;

[0029] The amount of the invoice corresponding to the work order is calculated according to the formula: actual amount collected - invoice amount = amount owed; if the amount owed is > 0, the audit is considered to have missed charges, otherwise it is considered to have not missed charges. This application determines the discount rate by the passage time, obtains the actual amount collected, and finally determines whether there is missed charges based on the calculation of the charges, so that the cost audit results can be obtained more purposefully.

[0030] The audit response adopts the preset value template mode. When responding, the license plate information, traffic information, road sections passed, whether there is any toll leakage, and the amount of toll leakage are replaced according to the preset template to generate the audit conclusion and respond.

[0031] Preferably, the preset value template RPA periodically scans the database of the work order system, obtains the work orders that have been processed and not written back, and writes them back to the department-level platform;

[0032] RPA enters the audit conclusion filling interface by simulating manual operation. Based on the processing results of the work order system, it determines the vehicle information on the page, selects the corresponding evasion type, fills in the discount rate, receivable amount, actual amount collected, and arrears amount information, uploads the audit evidence, clicks Save, and completes the work order audit.

[0033] Preferably, after the write-back is successful, RPA marks the corresponding work order as a successful write-back in the work order system; if the write-back is not successful, it is marked as a failure. After the failure, manual confirmation of the work order information is required to check the cause of the failure.

[0034] On the other hand, the present application also proposes a work order RPA processing system, including the following modules:

[0035] The data acquisition module is used to obtain the work orders to be processed from the work order system;

[0036] The classification module is used to classify the data to be distributed into automatic processing work orders and manual processing work orders according to business needs;

[0037] The automatic processing module is used to process the automatic processing work orders using RPA and provide feedback through the reply method of the pre-set template;

[0038] The feedback module is used to write back automatically processed work orders and manually processed work orders and feed them back to the work order system.

[0039] This application can bring the following beneficial effects:

[0040] 1. This application can significantly reduce the total number of work orders that need to be processed. After being collected from the work order system, they will be classified. Staff only need to pay attention to work orders in special cases, which will be automatically processed by RPA without manual supervision, greatly saving labor costs. In addition, by configuring manual review, manual intervention can be carried out selectively to improve processing accuracy.

[0041] 2. This application obtains the corresponding time of the vehicle through the entry time and exit time, and then obtains its possible path through the fitting of the travel path. It can accurately check the behavior of changing the license plate or traffic ETC card.

[0042] 3. This application determines the discount rate through the travel time to obtain the actual amount collected, and finally determines whether there are any missed charges based on the calculation of the charges, so as to obtain the cost audit results in a more purposeful manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0044] Figure 1 It is a schematic diagram of the first embodiment.

[0045] Figure 2 Schematic diagram of the second embodiment. DETAILED DESCRIPTION

[0046] In order to clearly illustrate the technical features of the present solution, the present application is described in detail below through specific implementation methods and in conjunction with the accompanying drawings.

[0047] In the first embodiment, if Figure 1 As shown, a work order RPA processing method includes the following steps:

[0048] S101. Obtain the work order to be processed from the work order system;

[0049] The work order includes work order overview, vehicle information, audit data, trip information, road section information, and cost information.

[0050] The work order overview includes the work order number, work order title, work order status, and picture attachments; the vehicle information includes the license plate number, color, model, size, and number of axles of the passing vehicle; the audit data includes the data number and the provinces passed through; the trip information includes the pass sign, entry station, entry time, exit station, exit time, pass medium, pass gantry information, pass section information, and audit section information.

[0051] S102. According to business needs, the data to be distributed is classified into automatic processing work orders and manual processing work orders;

[0052] The data to be distributed is classified as follows:

[0053] Self-verification of work orders;

[0054] For work orders that pass self-verification, they are set to be processed automatically, otherwise they are set to be processed manually.

[0055] The self-verification is performed as follows:

[0056] Document missing check;

[0057] Check the data of the work order to see if there is any missing data. If there is any missing data, set it as a manual processing work order.

[0058] Preliminary data verification:

[0059] Compare the vehicle information obtained at the entry station and the exit station. If the vehicle information is different, set the work order as a manual processing work order;

[0060] Reasonableness check:

[0061] The entry station, exit station and gantry information are obtained through the work order to obtain the passage path; in case of gantry information loss during the passage process, automatic fitting is performed, and the possible passage path is found based on the topological relationship of the gantry. The upstream gantry information is traced back and combined with the road section, passage time and other information to fit the vehicle portrait and restore the vehicle passage trajectory;

[0062] Through the entry time, entry vehicle model, entry license plate, entry axle number, entry vehicle type, entry passage medium, and exit time, exit vehicle model, exit license plate, exit axle number, exit vehicle type, and exit passage medium of the work order, the passage time and verified vehicle information are obtained;

[0063] The travel speed is obtained through the travel path and travel time;

[0064] Determine whether the passing speed is within the reasonable speed range. If not, set the work order as a manual processing work order.

[0065] S103. The work orders are automatically processed using RPA and feedback is provided through a reply method using a pre-set template. After RPA processing, a manual confirmation process is also included.

[0066] The RPA processes the work order as follows:

[0067] Based on the audit evidence provided by the work order, the amount receivable is confirmed based on the vehicle's travel trajectory; the discount rate is determined based on the travel time and the pre-set discount time period;

[0068] Basis: Amount receivable * discount rate = actual amount received, calculate the actual amount received;

[0069] The amount of outstanding fees is calculated using the invoice amount corresponding to the work order according to the formula: actual amount collected - invoice amount = outstanding fee amount. If the outstanding fee amount > 0, the audit will determine that there are missed fees, otherwise there are no missed fees.

[0070] The audit response adopts the preset value template mode. When responding, the license plate information, traffic information, road sections passed, whether there is any toll leakage, and the amount of toll leakage are replaced according to the preset template to generate the audit conclusion and respond.

[0071] S104. Write back the automatically processed work orders and the manually processed work orders and feed them back to the work order system.

[0072] The preset value template RPA periodically scans the database of the work order system, obtains the work orders that have been processed and not written back, and writes them back to the department-level platform;

[0073] RPA enters the audit conclusion filling interface by simulating manual operation. Based on the processing results of the work order system, it determines the vehicle information on the page, selects the corresponding evasion type, fills in the discount rate, receivable amount, actual amount collected, and arrears amount information, uploads the audit evidence, clicks Save, and completes the work order audit.

[0074] After the write-back is successful, RPA marks the corresponding work order as a successful write-back in the work order system; if the write-back is not successful, it is marked as a failure. After the failure, manual confirmation of the work order information is required to check the cause of the failure.

[0075] In the second embodiment, if Figure 2 As shown, a work order RPA processing system includes the following modules:

[0076] The data acquisition module 201 is used to acquire the work orders to be processed from the work order system;

[0077] A classification module 202, for classifying the data to be distributed into automatic processing work orders and manual processing work orders according to business requirements;

[0078] The automatic processing module 203 is used to process the automatic processing work order using RPA and provide feedback in a reply mode of a preset template;

[0079] The feedback module 204 is used to write back the automatically processed work orders and the manually processed work orders and feed them back to the work order system.

[0080] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A work order RPA processing method, characterized by: The steps include: Get pending work orders from the work order system; According to business needs, the data to be distributed is classified into automatic processing work orders and manual processing work orders; Use RPA to automatically process work orders and provide feedback using pre-set template responses; Write back the automatically processed and manually processed work orders and provide feedback to the work order system.

2. A work order RPA processing method according to claim 1, characterized in that: The work order includes work order overview, vehicle information, audit data, trip information, road section information, and cost information.

3. A work order RPA processing method according to claim 2, characterized in that: The work order overview includes the work order number, work order title, work order status, and picture attachments; the vehicle information includes the license plate number, color, model, size, and number of axles of the passing vehicle; the audit data includes the data number and the provinces passed through; the trip information includes the pass sign, entry station, entry time, exit station, exit time, pass medium, pass gantry information, pass section information, and audit section information.

4. A work order RPA processing method according to claim 1, characterized in that: After RPA processing, there is also a process of manual confirmation.

5. A work order RPA processing method according to claim 3, characterized in that: The data to be distributed is classified as follows: Self-verification of work orders; For work orders that pass self-verification, they are set to be processed automatically, otherwise they are set to be processed manually.

6. A work order RPA processing method according to claim 5, characterized in that: The self-verification is performed as follows: Document missing check; Check the data of the work order to see if there is any missing data. If there is any missing data, set it as a manual processing work order. Preliminary data verification: Compare the vehicle information obtained at the entry station and the exit station. If the vehicle information is different, set the work order as a manual processing work order; Reasonableness check: The entry station, exit station and gantry information are obtained through the work order to obtain the passage path; in case of gantry information loss during the passage process, automatic fitting is performed, and the possible passage path is found based on the topological relationship of the gantry. The upstream gantry information is traced back and combined with the road section and passage time information to fit the vehicle portrait and restore the vehicle passage trajectory; Through the entry time, entry vehicle model, entry license plate, entry axle number, entry vehicle type, entry passage medium, and exit time, exit vehicle model, exit license plate, exit axle number, exit vehicle type, and exit passage medium of the work order, the passage time and verified vehicle information are obtained; The travel speed is obtained through the travel path and travel time; Determine whether the passing speed is within the reasonable speed range. If not, set the work order as a manual processing work order.

7. A work order RPA processing method according to claim 6, characterized in that: The RPA processes the work order as follows: Based on the audit evidence provided by the work order, the amount receivable is confirmed based on the vehicle's travel trajectory; the discount rate is determined based on the travel time and the pre-set discount time period; Basis: Amount receivable * discount rate = actual amount received, calculate the actual amount received; The amount of outstanding fees is calculated based on the invoice amount corresponding to the work order according to the formula: actual amount received - invoice amount = outstanding fee amount. If the outstanding fee amount > 0, the audit will be considered as missed fees, otherwise, no missed fees will be considered; The audit response adopts the preset value template mode. When responding, the license plate information, traffic information, road sections passed, whether there is any toll leakage, and the amount of toll leakage are replaced according to the preset template to generate the audit conclusion and respond.

8. A work order RPA processing method according to claim 7, characterized in that: The preset value template RPA periodically scans the database of the work order system, obtains the work orders that have been processed and not written back, and writes them back to the department-level platform; RPA enters the audit conclusion filling interface by simulating manual operation. Based on the processing results of the work order system, it determines the vehicle information on the page, selects the corresponding evasion type, fills in the discount rate, receivable amount, actual amount collected, and arrears amount information, uploads the audit evidence, clicks Save, and completes the work order audit.

9. A work order RPA processing method according to claim 8, characterized in that: After the write-back is successful, RPA marks the corresponding work order as a successful write-back in the work order system; if the write-back is not successful, it is marked as a failure. After the failure, manual confirmation of the work order information is required to check the cause of the failure.

10. A system for implementing the work order RPA processing method according to any one of claims 1 to 9, characterized in that: Includes the following modules: The data acquisition module is used to obtain the work orders to be processed from the work order system; The classification module is used to classify the data to be distributed into automatic processing work orders and manual processing work orders according to business needs; The automatic processing module is used to process the automatic processing work orders using RPA and provide feedback through the reply method of the pre-set template; The feedback module is used to write back automatically processed work orders and manually processed work orders and feed them back to the work order system.

Images