Method and system for power multi-system ocr extraction full-service information for certificate making

Abstract

This invention proposes a method and system for extracting full business information from multiple power systems using OCR for certificate issuance, comprising: receiving uploaded electronic image data; using OCR image recognition technology to identify the image order number in the uploaded electronic image data, storing the identified electronic image data in an electronic image pool; and classifying and archiving the identified electronic image data in the electronic image pool.

Description

Technical Field

[0001] This invention belongs to the field of computer information processing technology, and in particular relates to a method and system for extracting full business information from multiple power systems using OCR for certificate issuance. Background Technology

[0002] The statements in this section are merely background information related to the present invention and do not necessarily constitute prior art.

[0003] Currently, the electronic image management of the entire payment process in the power industry mainly includes: standardized management of business vouchers, process streamlining, voucher verification, invoice verification, and OCR image recognition.

[0004] The following problems mainly exist in the process of the above management work:

[0005] 1. During the payment process in the power industry, electronic original vouchers are uploaded without the introduction of OCR image recognition technology. This makes it impossible to effectively verify original vouchers across systems, resulting in discrepancies between the amount in the fund payment application form and the amount applied for, incomplete signatures, errors in amount, date, payee name, receipt stamp, incomplete or missing images, etc. These problems lead to frequent and repeated uploading of electronic original vouchers, resulting in issues such as the lack of a unified storage location and insufficient account balance.

[0006] 2. Regarding the full lifecycle management of payment orders: The power grid requires that payment orders for infrastructure and production technology upgrade projects must have corresponding project and contract information fields. Currently, there is no unified way to view or control the required fields. To view complete project information and complete the approval process, multiple systems are needed, which cannot guarantee the completeness and accuracy of the project and contract information in payment orders.

[0007] 3. Regarding the full-process sharing of electronic images: The electronic images attached to the payment application of the grassroots unit and the transfer vouchers generated by the payment application are linked to the electronic images in the current ERP payment management system, and there are the following situations.

[0008] 4. The images from different stages of the system are not integrated and merged. It is not possible to view transfer vouchers and business documents from the original document images through purchase orders on the ERP side and integrate and classify them according to the actual business occurrence. Viewing transfer vouchers and business documents requires back-end operation by consultants.

[0009] 5. Currently, the full-process sharing of electronic images and the complete connection of links have not been achieved, which cannot support the full online review of business, the efficient online circulation of original documents, and the real-time online sharing of electronic images. Summary of the Invention

[0010] To overcome the shortcomings of the prior art, this invention provides a method for extracting full business information from multiple power systems using OCR for certificate issuance, which can complete the closed-loop management of electronic business and financial documents.

[0011] To achieve the above objectives, one or more embodiments of the present invention provide the following technical solutions:

[0012] Firstly, a method for extracting full business information from multiple power systems using OCR for certificate issuance is disclosed, specifically for creating vouchers for direct payment business pre-issued certificates and payment order lifecycle management business. This includes:

[0013] Receive uploaded electronic image data;

[0014] OCR image recognition technology is used to identify the image order number in the uploaded electronic image data. The identified electronic image data is then tagged according to the source system, business type, and module and stored in the electronic image pool.

[0015] The identified electronic image data is classified and archived in the electronic image pool.

[0016] As a further technical solution, when the method is used for pre-issued certificates for direct payment business, it utilizes OCR image recognition technology to identify the image order number in the uploaded electronic image data, including:

[0017] First, the payment summary and payment purpose in the electronic image data are spliced ​​together, and the additional data actually transmitted is recorded in the database table, with the spliced ​​and merged data as a unique identifier.

[0018] The corresponding fields of the data interaction logic in the electronic image data are redeployed.

[0019] The corresponding fields in the electronic image are scanned using OCR image recognition technology. The corresponding fields are then linked by merging to obtain the corresponding voucher. The content of the electronic image is then compared to screen out orders or vouchers with incomplete, incorrect, or empty field information.

[0020] As a further technical solution, the method, when used for creating vouchers in the full lifecycle management of payment orders, includes:

[0021] For uploaded electronic image data, it is linked by purchase order number and voucher number to find the corresponding order in the system;

[0022] OCR image recognition technology is used to identify order number information in electronic images and combine it to form information corresponding to the purchase order number;

[0023] Find the corresponding orders in each system from the electronic image pool and compare and verify them to ensure the completeness and accuracy of payment order items and contract information.

[0024] As a further technical solution, the uploaded electronic image data includes electronic original vouchers. When uploading electronic original vouchers, the following is required:

[0025] Configure field validation;

[0026] Uploaded electronic images are categorized according to voucher type and business type;

[0027] The OCR system compares the image data with the corresponding order in the system. If the comparison is correct, the image data can be uploaded.

[0028] As a further technical solution, a saving prompt is provided for uploaded electronic image data, including:

[0029] After the electronic image data is uploaded, the electronic image pool returns a truth value through the interface;

[0030] After saving, a message "Save successful" will appear. Once you confirm, the image upload interface will close automatically.

[0031] If the message "Save failed" appears after saving, re-upload the image data to avoid duplicate images caused by clicking the save button repeatedly.

[0032] As a further technical solution, electronic image data can be uploaded at each stage of purchase order creation, goods / service confirmation, invoice verification, payment order submission, and corresponding payment order submission, enabling full-process sharing of electronic images;

[0033] In practice:

[0034] At each stage, an image upload entry point is added, a switch is installed, and the recorded information is stored;

[0035] The created AIM images are encoded, numbered, and integrated and transmitted back to each system through the interfaces of each system, and the correspondence between purchase orders, image numbers, and business numbers is stored.

[0036] The purchase order serves as the primary key throughout the entire process to confirm the image association between the purchase order image and the images in the receiving and service business of the material self-purchased purchase order;

[0037] Establish rules for the correspondence between image information and business information at each stage, and solidify these rules.

[0038] Based on the fixed rules for corresponding image information and business information, the image and business information data are transmitted to the AIM image pool for image data storage.

[0039] Order numbers are identified by applying OCR image recognition technology, and key business documents are managed electronically and through imaging based on the identified image information.

[0040] Establish a link between financial accounting and business accounting to achieve seamless electronic imaging throughout the entire process from procurement to payment.

[0041] The aforementioned electronic image pool and AIM image pool are the same technical term.

[0042] As a further technical solution, rules are created in the electronic image pool to classify and store image data according to number, category, system, and project information;

[0043] Interface information is created in each system to store image data in a common electronic image pool, and a log function is created to record information from each field.

[0044] As a further technical solution, the identified electronic image data is classified and archived. When viewing, multiple images can be viewed on the same interface, and zooming in does not affect the clarity.

[0045] When creating a payment order, after selecting the corresponding "business type", the required document types for that order are strictly controlled according to the document type, and high-definition scanning equipment is added to increase image resolution.

[0046] Secondly, a system for extracting full business information from multiple power systems using OCR for certificate issuance was disclosed, along with a system for creating vouchers for direct payment business pre-issued certificates and for managing the entire lifecycle of payment orders. Specifically, this includes:

[0047] The electronic image data receiving module is configured to receive uploaded electronic image data.

[0048] The OCR image recognition module is configured to: use OCR image recognition technology to identify the image order number in the uploaded electronic image data, and then tag the identified electronic image data according to the source system, business type, and module and store it in the electronic image pool.

[0049] The classification and archiving module is configured to classify and archive the identified electronic image data in the electronic image pool.

[0050] The above one or more technical solutions have the following beneficial effects:

[0051] To further promote lean financial management, strengthen the support of electronic payment documents, improve the standardization of original vouchers and the ability to control fund security, we have standardized the management and streamlined the processes of material self-purchase and service procurement vouchers, deployed and constructed related software and hardware systems for electronic imaging, and upgraded the business support system and image management function modules. Ultimately, we have fully realized end-to-end strong control of electronic imaging functions, full-process sharing and comprehensive connectivity of electronic imaging links, and supported the management goals of comprehensive online business review, efficient online circulation of original documents, and real-time online sharing of electronic images for the entire payment business process.

[0052] This invention enables effective control of the electronic image acquisition system for paper documents in all stages of the procurement-to-payment business process; it allows for the association of images at each stage, from purchase order creation to payment application submission, through the purchase order number; it achieves seamless electronic image integration between the ERP and financial control systems for the entire procurement-to-payment process, with original document electronic images collected once and shared throughout the entire process; by applying OCR image recognition technology, it enables the electronic and image-based management of key business documents, enhancing business information traceability, fully integrating front-end processes into internal control management, establishing a link between financial accounting and business accounting, and strengthening the process control responsibilities of front-end business; it also enables the electronic archiving of accounting vouchers, completing a closed loop of electronic management for business and financial documents.

[0053] Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0054] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.

[0055] Figure 1 This is a schematic diagram of the pre-issued certificate process for multi-system payment services according to an embodiment of the present invention;

[0056] Figure 2 This is a schematic diagram of the multi-system payment order lifecycle management process according to an embodiment of the present invention;

[0057] Figure 3 This is a schematic diagram of the server structure according to an embodiment of the present invention. Detailed Implementation

[0058] It should be noted that the following detailed descriptions are exemplary and intended to provide further illustration of the invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0059] It should be noted that the terminology used herein is for the purpose of describing particular implementations only and is not intended to limit the exemplary implementations of the present invention.

[0060] Where there is no conflict, the embodiments and features in the embodiments of the present invention can be combined with each other.

[0061] Example 1

[0062] See appendix Figure 1-3 As shown, this embodiment discloses a method for extracting full-service information from multiple power systems using OCR for certificate issuance, including:

[0063] Step 1: Receive image data and identify the number on the original voucher (there are many types of original vouchers, detailed examples will be given below). Compare this number with the voucher number, amount, and purpose on the electronic voucher. If they match, the image is entered into the image pool normally; if they do not match, a prompt is given to make corrections. Combine all the numbers in a certain order to form a unique identifier for marking the image data. At this point, all the numbers will form a relationship, making it easy to find the image data by a specific number later.

[0064] Step 2: Upload the original vouchers to the computer for image recognition. Set a return parameter: 1 for success, 0 for failure and need to re-upload. This is used to prompt that the upload to the computer has been successful and to ask you to click the save button. After all the original vouchers are uploaded to the computer, they are uploaded to the image pool. After the image pool is successfully uploaded, it will also return a parameter: 1 for success, 0 for failure and need to re-upload. At this time, you can log in to the image pool to check. If there are no problems, click the save button; otherwise, re-upload.

[0065] Step 3: Add an image hierarchy function so that images can be displayed in a hierarchical manner. When a certain image is clicked, that image will be displayed on the front and can be zoomed in and out. When searching, the corresponding electronic image data can be found by information such as voucher number, profit center number, payment number, and order number. This ensures that the unique corresponding data can be found accurately.

[0066] Step 4: Using filtering and spatial enhancement techniques, image details are filtered out to make the image clearer. Geometric transformation, sharpening, contrast and brightness processing are performed on the digital image to optimize image texture details and make the picture clearer.

[0067] Step 5: If an error occurs in the payment order, a parameter will be returned when the payment order is rolled back to delete the image data corresponding to this order.

[0068] In this implementation example, when creating vouchers for both direct payment business pre-issued certificates and payment order lifecycle management, OCR image recognition technology is used to identify, compare, and verify the uploaded image order number.

[0069] To achieve the above functions, two additional functions have been added to the two business functions: uploading electronic original vouchers and adding a save prompt when uploading images, which enables electronic image data to be uploaded in a timely manner.

[0070] The system simultaneously establishes four functions across the two business functions: full-process sharing of electronic images, querying electronic images in the payment settlement pool, supporting viewing multiple images on the same interface without affecting clarity, and exporting order images. This ensures that multiple systems can query and export original electronic image vouchers from the pool.

[0071] The feature that allows viewing multiple images on the same screen without affecting image clarity has been enhanced with an image quality control function.

[0072] When creating vouchers for two business operations, there is a process for canceling payment orders. The function of deleting the corresponding electronic image when canceling payment orders has been added.

[0073] To better illustrate the overall technical solution of this application, the pre-prepared certificate in this embodiment specifically refers to a pre-prepared accounting voucher, which is an accounting voucher prepared in advance by departments other than finance. The pre-prepared voucher must be complete and ultimately reviewed by the finance department to be confirmed as an official accounting voucher. The output of the pre-prepared certificate is an accounting voucher with an electronic number. Each voucher has a unique number, and the accounting records on the voucher include information such as account, amount, purpose, voucher type, project number, purchase order number, etc.

[0074] Regarding pre-issued certificates for direct payment transactions:

[0075] Step (1): Merge the data in the transmission control function system, concatenate the payment summary ('pay' + purchase order number + supplier name + payment nature) and payment purpose (profit center name + purchase order number) (concatenate directly without spaces or + in the middle), and record the actual transmitted additional data in the database table, using the merged data as a unique identifier.

[0076] The aforementioned additional data refers to the data in the aforementioned image pool. After these data are uploaded, they need a unique identifier (a unique name in the system). Then, a table will record the corresponding information, such as the data number, profit center (regional number), purchase order number, accounting voucher number, supplier number, payment type number, etc. The unique identifier of the electronic image data is generated by concatenating these numbers in sequence. These are collectively referred to as additional data.

[0077] Additional data are unique identifiers, allowing the system to break down these numbers into their corresponding companies and business operations, generating original voucher data. These original vouchers are the impact data.

[0078] Regarding the data in the control function system, the electronic vouchers uploaded here are from another system. Due to the large number of power grid businesses, some accounting vouchers are generated through other systems. These vouchers are accounting vouchers, and the accounting vouchers in payment orders will be accompanied by electronic images. At this time, the electronic images are one or more original vouchers, such as supermarket receipts, purchase contracts, paper invoices from material suppliers, etc. These paper or electronic invoices and contract scans are all electronic image data. These electronic image data all need to be uploaded to a database, which is called the image pool.

[0079] Step (2): Redeploy the corresponding fields of the data interaction logic, such as:

[0080] 1) Payment summary, payment purpose, purchase order number, supplier name, payment nature, and profit center name in self-purchased goods and services payment orders in the SAP system;

[0081] 2) In the financial control system, the payment application for centralized procurement materials will be redeployed in the fields of payment summary, payment purpose, purchase order number, supplier name, payment nature, and profit center name. The redeployed data will be placed in a database table to speed up the system field merging and facilitate future modifications to the underlying system.

[0082] The other system that generates vouchers in step (2) is called SAP. The system that generates vouchers in step (1) is the control system. Both generate electronic accounting vouchers and have image data, which are stored in the image pool. When SAP needs to use the control vouchers, it needs to retrieve the control accounting vouchers through the interface. This avoids generating duplicate accounting vouchers. When checking accounts, the original vouchers are required. At this time, it is necessary to retrieve the electronic accounting vouchers of the control system and the original voucher image data in the image system.

[0083] A payment order generates an electronic accounting voucher. An electronic accounting voucher contains information such as a summary (a description of the purpose of the voucher), payment purpose (an electronic number of the purpose, which is a classification defined in the system), purchase order number, supplier number, payment nature number, profit center number, etc. The information contained varies depending on the business. When querying or storing image data, this information will be linked to ensure that they correspond one by one.

[0084] It should be noted here that the names and codes of accounting fields differ between systems. To enable the exchange of accounting information between the two systems, a mapping table needs to be created to map the names and codes in the two systems one-to-one. This allows the program to accurately find the information needed in the other system. At this point, our system needs to be adjusted so that the program can adapt to the mapping table. If the other system has certain unique identifiers that we do not have, we need to add fields. A field can be understood as a header in Excel; a header represents a column of data and is called a field.

[0085] The payment application for centrally procured goods in the financial control system will generate electronic accounting vouchers, which will contain electronic image data.

[0086] Step (3): Introduce OCR image recognition technology to scan the corresponding fields in the electronic image, and associate them by merging the corresponding fields. After finding the corresponding voucher in the system, compare the content and screen out orders or vouchers with incomplete, incorrect, or empty fields in the two types of business. Then, make corresponding prompts and let the user manually check and make corrections after the check is completed.

[0087] The corresponding field in an electronic image is a column of data, which can be a number, a name, or a date. There is more than one electronic image, so each original document will have a unique identifier, just like the code on an invoice. Scan the code and identify it, and put these in a column. This column is called a field. Adding fields will require adjustments to the system. This process is called deployment.

[0088] Regarding the full lifecycle management of payment orders: The full lifecycle of a payment order refers to the entire process of the payment order, from start to finish. The entire lifecycle of a payment order includes: creating a purchase requisition (no accounting voucher is generated), creating a purchase order (no accounting voucher is generated), receiving goods (accounting voucher is generated), invoice verification (accounting voucher is generated), and payment (accounting voucher is generated). At this point, electronic accounting vouchers are generated. Every time an accounting voucher is generated, it is accompanied by an electronic image. During the query, the number recognized by OCR can be matched with the electronic voucher, allowing the original document to be found through the voucher.

[0089] According to power grid requirements, payment orders for infrastructure and production technology upgrade projects must include dozens of fields such as "project name, project number, voltage level, project status, etc." A unified viewing method is established for these mandatory fields, controlling access during project initiation and service confirmation. Project review and verification no longer require multiple parties, ensuring the completeness and accuracy of project and contract information in payment orders. This system deployment involves business operations such as payment orders for material and service procurement, other payables, total amount flow reporting, payroll payment orders, and business travel payment orders.

[0090] To achieve the aforementioned functions, the payment order lifecycle management business process involves business operations such as procurement, payment orders, payroll, and business travel reimbursement in SAP, management, marketing, and business travel systems (e.g., order return, payment return, refund return, and batch creation functions in self-purchased goods and services payment orders and bulk purchase goods payment applications). This is achieved by establishing functional and service interfaces to connect multiple systems and linking them using purchase order numbers and voucher numbers to facilitate order retrieval in the corresponding systems. The log function is enhanced by expanding the included business operation information to record business operations and facilitate cross-system troubleshooting. Therefore, the corresponding functions for the entire payment order lifecycle are modified by introducing OCR image recognition technology to identify order numbers and other information in electronic images and combine them with the purchase order number. Finally, the corresponding orders in each system are retrieved from the pool for comparison and verification, thereby ensuring the completeness and accuracy of payment order items and contract information, improving business processing efficiency, reducing financial risks, and enhancing financial management.

[0091] Regarding support for uploading electronic original documents: Electronic images are the same as original documents. Original documents are a general term, such as shopping receipts from supermarkets, invoices for purchases, contracts for equipment purchases, etc. These are all original documents. After being uploaded to the system, they become electronic image data.

[0092] In systems such as ERP, BPM workflow, AIM image pool, and financial control, when creating vouchers for business operations such as self-purchased materials and service payment orders, and centralized purchase material payment applications (e.g., self-purchased materials procurement, service purchase order creation, goods / service confirmation, invoice verification, payment application, etc.), field validation is set (electronic images are a mandatory input function; if electronic images are not uploaded, vouchers or purchase orders cannot be created). The uploaded electronic images will be categorized according to voucher type and business type for easy retrieval later. At this time, OCR will recognize the image data and compare it with the corresponding order in the system (e.g., comparing dozens of fields such as purchase order number, supplier name, project name, etc.). If the comparison is correct, the image data can be uploaded; if there are discrepancies, the user is prompted to make corrections.

[0093] Regarding the addition of a saved notification when uploading images:

[0094] When collecting electronic images of goods receipt slips, warehousing slips, and service confirmation slips for purchase orders in various systems, after the images are uploaded, the AIM image pool will return a constant value (0. Save successful, 1. Save failed) through the interface. When the user clicks save, a message "Save successful" will be displayed, and the image upload interface will be automatically closed after confirmation. If the user clicks save and a message "Save failed" is displayed, the image data will be re-uploaded to avoid image duplication caused by clicking the save button repeatedly.

[0095] Regarding the full-process sharing of electronic images: This refers to the vouchers in payment orders. When verifying invoices, the business department generates pre-made vouchers, which are then reviewed by the accounting department. If there are no problems after the review, an official voucher is generated; otherwise, it is modified. This sharing refers to the sharing of electronic vouchers and image data between several systems. This sharing is for the convenience of each system to query the original vouchers.

[0096] In the stages of purchase order creation, goods / service confirmation, invoice verification, payment order submission, and other related processes, an image upload entry point is added, a switch is added, and record information is stored in the background. Created AIM images are encoded, and their numbers are integrated and transmitted back to each system through interfaces. The correspondence between purchase orders, image numbers, and business numbers is stored.

[0097] The system adds image control rules based on the factory as the control condition, enabling mandatory data transmission control for images in self-purchased materials and service purchase orders from various units. It allows for personalized control of the classification and matching of original document images during the order creation process, based on different business operations, units, and systems. Using the purchase order as the primary key (purchase order number) throughout the entire process, it confirms the image association between purchase order images and images in business operations such as receiving goods in self-purchased materials and providing services in service purchase orders. The system optimizes the function of synchronizing image data with the AIM image pool system from ERP, BPM workflow, and financial control systems, clarifying the rules for corresponding image information with business information at each stage, and solidifying these rules into the system.

[0098] Based on the fixed rules for matching image information with business information (rules for pre-issued certificate numbering for direct payment business), the image and business data are transmitted to the AIM image pool system for image data storage.

[0099] By applying OCR image recognition technology to identify order numbers, key business documents are managed electronically and through image information, enhancing business information traceability, fully integrating front-end processes into internal control management, establishing a link between financial accounting and business accounting, strengthening process control responsibilities for front-end business, and ultimately completing a closed loop of electronic management of business and financial documents. This achieves the goal of electronic image integration throughout the entire process from procurement to payment, enabling the management of original document electronic images to be collected once and shared throughout the entire process. These images serve as the basis for the financial control system to review image information and business data for fund payment in the payment process.

[0100] Regarding the query of electronic images in the payment settlement pool: Payment settlement is the final step in a payment order and also generates accounting vouchers. The payment settlement pool is a database specifically for storing payment settlement documents. It is placed in a separate pool for the convenience of retrieving data later.

[0101] In the AIM system, a separate image pool is created to store electronic image information. Rules are created to classify and store image data according to information such as number, category, system, and project, which facilitates later retrieval of image data. Interface information is created in various systems (financial control system, ERP system, etc.) to store image data together in this pool. A log function is created to record information from various fields to facilitate error investigation.

[0102] Regarding the support for viewing multiple images on the same screen, and ensuring that zooming in does not affect image clarity:

[0103] The "View Electronic Image" function in the "Transfer Signature Approval" interface has been modified to remove the multi-page display feature and instead display a single, layered interface. The left side now shows zoomed-out images and categorized images by name, allowing direct selection without needing to navigate to other pages in the "More" section, thus improving approval efficiency. Operators can view all document images on the same interface, and zooming in does not affect image clarity.

[0104] Regarding the implementation of the image control function:

[0105] Add a strong image control function to the electronic business voucher system. When the business department creates a payment order in the ERP system and selects the corresponding "business type", the electronic business voucher system will strengthen the control of the necessary document types for the order based on the document type. Add high-definition image scanning equipment to increase image resolution.

[0106] Regarding the implementation of the order image export function:

[0107] Added interfaces for transmission between various systems and the AIM image pool. The system can query image data according to payment orders and export all images, which can be saved locally or decompressed for verification of image information.

[0108] Regarding the implementation of deleting electronic images for refunded payment orders:

[0109] In business operations such as payment orders for self-purchased goods and services and payment applications for bulk purchase goods, when an order is returned (e.g., due to incorrect order information), the system can query image data for the payment order and display the approval level, retrieve the image, and record the operation information.

[0110] The overall technical solution of this application embodiment, after receiving the uploaded electronic image data, uses OCR image recognition technology to identify the image order number in the uploaded electronic image data; the identified electronic image data is tagged and classified according to the source system (SAP, financial control, etc.), business type (accounts receivable, accounts payable, etc.), and module (materials, finance, engineering, etc.) and stored, which is the additional data mentioned below, and finally archived in the electronic image pool.

[0111] Example 2

[0112] The purpose of this embodiment is to provide a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the above-described method.

[0113] Example 3

[0114] The purpose of this embodiment is to provide a computer-readable storage medium.

[0115] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the steps of the above method.

[0116] Example 4

[0117] The purpose of this embodiment is to provide a system for extracting full business information from multiple power systems using OCR for certificate issuance, including:

[0118] Vouchers used for creating pre-issued certificates for direct payment transactions and for managing the entire lifecycle of payment orders, specifically including:

[0119] The electronic image data receiving module is configured to receive uploaded electronic image data.

[0120] The OCR image recognition module is configured to: use OCR image recognition technology to identify the image order number in the uploaded electronic image data, and then tag the identified electronic image data according to the source system, business type, and module and store it in the electronic image pool.

[0121] The classification and archiving module is configured to classify and archive the identified electronic image data in the electronic image pool.

[0122] The steps and methods involved in the apparatuses of Embodiments 2, 3, and 4 above correspond to those in Embodiment 1. For specific implementation details, please refer to the relevant description section of Embodiment 1. The term "computer-readable storage medium" should be understood as a single medium or multiple media including one or more instruction sets; it should also be understood as including any medium capable of storing, encoding, or carrying an instruction set for execution by a processor and enabling the processor to perform any of the methods in this invention.

[0123] Those skilled in the art will understand that the modules or steps of the present invention described above can be implemented using general-purpose computer devices. Optionally, they can be implemented using computer-executable program code, thereby allowing them to be stored in a storage device for execution by a computer device, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. The present invention is not limited to any particular combination of hardware and software.

[0124] While the specific embodiments of the present invention have been described above in conjunction with the accompanying drawings, this is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art without creative effort based on the technical solutions of the present invention are still within the scope of protection of the present invention.

Claims

1. A method for power multi-system OCR extraction of full service information for certificate making, characterized in that, The application discloses a method for full life cycle management of prefabricated certificates and payment orders of direct payment business, and specifically relates to the following technical scheme. Receiving uploaded electronic image data; Using OCR image recognition technology to recognize image order numbers in the uploaded electronic image data: firstly, splicing payment summaries and payment purposes in the electronic image data, and recording additional data actually transmitted into a database table, taking the spliced and combined data as a unique identifier; Re-deploying corresponding fields of data interaction logic in the electronic image data; Using OCR image recognition technology to scan corresponding fields in the electronic image, and associating through combined fields of the corresponding fields, obtaining corresponding certificates, and comparing the contents of the electronic image to screen out orders or certificates with incomplete or incorrect field information filling or empty fields; Labeling the recognized electronic image data according to the source system, business type and module, and storing the electronic image data into an electronic image pool; Classifying and archiving the recognized electronic image data in the electronic image pool; Uploading electronic image data at corresponding links of procurement order creation, receipt / service confirmation, invoice verification and payment order submission for electronic image sharing throughout the whole process; In specific implementation: At each link, an image uploading entrance is added, a switch is additionally provided, and information is stored and recorded; AIM images created are coded, the coded images are integrated and returned to each system through the interface of each system, and the correspondence between the procurement order and the image number and the business number is stored; The image association relationship between the procurement order image and the material self-purchase procurement order receipt and the service business in the service procurement order service is confirmed based on the procurement order as the whole process primary key; The corresponding rules of the image information and the business information are sorted out, and the rules are solidified; According to the solidified corresponding rules of the image information and the business information, the image and the business data are transmitted to the AIM image pool for image data storage; The order number is recognized through the application of the OCR image recognition technology, and the key business documents are managed in an electronic and image manner through the recognized image information; The association relationship between the financial accounting and the business accounting is established, and the electronic image is connected throughout the whole process from procurement to payment.

2. The method for power multi-system OCR extraction of full service information for certificate making according to claim 1, characterized in that, When the method is used for full life cycle management of payment orders, the method comprises the following steps: For the uploaded electronic image data, the order number information in the electronic image is recognized through the procurement order number and the certificate number, so that the corresponding order in the system can be found. The order number information in the electronic image is recognized through the OCR image recognition technology, and the corresponding information of the procurement order number is combined. The corresponding order in each system is found in the electronic image pool and is compared and audited, so that the payment order item and the contract information are complete and accurate.

3. The method for power multi-system OCR extraction of full service information for certificate making according to claim 1, characterized in that, The uploaded electronic image data comprises an electronic original certificate, and when the electronic original certificate is uploaded, the following steps need to be performed: Setting up field verification; Classifying the uploaded electronic image according to the certificate type and the business type; Comparing the OCR-recognized image data with the corresponding order in the system, and permitting the uploading of the image data when the comparison is correct.

4. The method for power multi-system OCR extraction of full service information for certificate making according to claim 1, characterized in that, For the uploaded electronic image data, the following saving prompt is provided: After the uploading of the electronic image data is completed, the electronic image pool returns a constant value through the interface. When the save is successful, the system prompts "save success" and automatically closes the upload image interface; When the save fails, the system prompts "save failure" and re-uploads the image data to avoid image duplication caused by continuous clicking of the save button.

5. The method for power multi-system OCR extraction of full service information for certificate making of claim 1, wherein, In the electronic image pool, the creation rule classifies and stores the image data according to the number, category, system, and project information; In each system, interface information is created to store image data in the electronic image pool, and a log function is created to record each field information; The identified electronic image data is classified and archived, and when viewing, multiple images can be viewed on the same interface without affecting the clarity when zooming in. When creating a payment order, the system selects the corresponding "business type" and controls the necessary document types based on the document type, and increases the image resolution by adding a high-definition scanning device.

6. A system for power multi-system OCR extraction of full service information for certificate making, using the method for power multi-system OCR extraction of full service information for certificate making according to any one of claims 1-5, characterized in that, The application is used for the whole life cycle management of prefabricated certificates and payment orders, and specifically includes: An electronic image data receiving module is configured to receive uploaded electronic image data; An OCR image recognition module is configured to recognize the image order number in the uploaded electronic image data using OCR image recognition technology, and to store the recognized electronic image data in the electronic image pool according to the source system, business type, and module. A classification and archiving module is configured to classify and archive the recognized electronic image data in the electronic image pool.

7. A computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to implement the steps of the method of any one of claims 1-5.

8. A computer-readable storage medium having a computer program stored thereon, wherein the program is executed by a processor to perform the steps of the method of any one of claims 1-5.

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