Automatic operation compliance report generation method and system
By constructing an event-driven automated report generation framework, and utilizing cryptographic hash algorithms and digital timestamps to generate integrity verification information, the framework solves the problems of data fusion difficulties and insufficient credibility in compliance report production, and achieves automated, standardized, and efficient report generation.
Patent Information
- Application Number
- CN202511692027.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-18
- Publication Date
- 2026-02-13
AI Technical Summary
Current technologies rely on manual labor for compliance report creation, making data integration difficult and lacking technical guarantees for the originality and integrity of data. This results in low levels of automation and standardization in reports, as well as the risk of human error.
We construct an event-driven automated report generation framework that uses cryptographic hash algorithms and digital timestamps to generate integrity verification information. Combined with distributed ledger technology, it enables the automated integration and report generation of multimodal data, ensuring the technical credibility and traceability of the data.
This enhances the technical credibility and traceability of the report, automates the report generation process, ensures data accuracy and consistency, promotes report standardization, and facilitates subsequent management and analysis.
Smart Images
Figure CN121525653A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of computer data processing technology, and in particular to a method, system, apparatus, and computer-readable storage medium for automatically generating work compliance reports in the field of industrial safety production management. Glossary
[0002] To facilitate understanding of this invention, some terms used in this application are explained below:
[0003] Multimodal process data: refers to a collection of data from diverse sources and formats that characterize the state within a work cycle. It may include structured data (such as database records), semi-structured data (such as JSON and XML files), and unstructured data (such as images, videos, and audio streams).
[0004] Original report data structure: This refers to the intermediate data form formed after the retrieved multimodal process data is organized and populated according to the structure of the compliance report template, before it is finally rendered into a report file. It may be an XML or JSON object.
[0005] Integrity verification information: refers to a data structure that contains integrity verification values and time information, used to technically prove the existence of the original data at a specific point in time and the integrity of its content.
[0006] Integrity check value: This refers to a numerical value calculated by applying a cryptographic algorithm (such as a hash algorithm) to the original data. This value is closely related to the content of the original data, and any modification to the original data will cause this value to change. In this invention, it is preferably specifically manifested as an integrity check digest (hash value).
[0007] Digital timestamp: refers to data that is provided by a trusted time source and is associated with a specific event (such as report generation), possessing technical validity and capable of proving when the event occurred. Background Technology
[0008] In high-risk industries such as chemical, power, and construction, compliance management of specific types of controlled operations (such as confined space work, hot work, and work at height) is a crucial link in ensuring safe production. To standardize work processes and control risks, companies generally adopt a work permit system, which authorizes and manages work processes by issuing electronic or paper "work tickets." After the work is completed, to meet the requirements of internal management audits and external government supervision, compliance documentation for the work process needs to be archived to form a compliance report.
[0009] In the existing technology, the preparation of compliance reports mainly faces the following technical problems:
[0010] First, the data sources are scattered and difficult to integrate. The data generated during a specific operation process is of various types and scattered in sources, including structured data such as electronic work tickets, personnel qualifications, and tool inspection records, as well as unstructured or semi-structured data such as gas concentration time-series data, personnel health monitoring data, on-site monitoring video streams, and alarm capture images. These data are stored in different business systems, device logs, or Internet of Things platforms, with different data structures, time bases, and sampling frequencies. Existing technologies usually rely on managers to manually retrieve, export, and integrate data from multiple heterogeneous systems. This process is inefficient and there is a risk of introducing human errors in data alignment and conversion.
[0011] Second, the credibility of data technology and the integrity of the evidence chain are insufficient. The manual collation process lacks effective technical means to ensure the originality and integrity of data. Once the data is exported to the local for manual editing and screening, its reliability as an objective record is reduced. For example, the collator may only intercept the instantaneous readings of qualified gas detections and ignore the concentration fluctuation data during the process, resulting in the report being unable to truly and completely reflect the operation risks. This non-automated and editable collation method poses challenges to constructing a complete and technically credible digital evidence chain.
[0012] Third, the low degree of report standardization and the low management efficiency. Due to the lack of a unified automated generation process, the formats and content details of reports made by different personnel at different times vary, which increases the review difficulty for supervisors and is not conducive to the enterprise's standardized filing, retrieval, and horizontal comparative analysis.
[0013] In summary, existing technologies have urgent areas for improvement in terms of automation level, data fusion efficiency, and the technical credibility of the evidence chain when processing operation compliance reports. Summary of the Invention
[0014] The main objective of the present invention is to provide a method and system for generating automated operation compliance reports to solve the technical problems in the prior art such as the dependence on manual work in making compliance reports, difficult data fusion, and the lack of technical guarantee for data originality and integrity.
[0015] To achieve the above objectives, this invention provides an automated method for generating work compliance reports. This method constructs an event-driven, cryptographically secured automated report generation framework. This framework uses the work completion event as a trigger and the unique identifier of the work ticket as an index to automatically aggregate multimodal data related to the work process from heterogeneous data storage units. After data integration and report content formation, a cryptographic processing procedure (e.g., cryptographic hash algorithms and digital timestamp services) is used to technically associate the report content with the generation time point, generating integrity verification information, which is then encapsulated along with the report content. This provides a verifiable technical means for the originality and integrity of the report, thereby improving the technical credibility and traceability of the report content.
[0016] Specifically, the present invention provides a method for generating an automated work compliance report. The method includes: acquiring a work completion trigger signal associated with a work ticket; responding to the trigger signal, automatically retrieving and integrating multimodal process data associated with the work process from one or more data storage units based on the unique identifier of the work ticket; matching a corresponding compliance report template from a preset template library according to the type of the work ticket; automatically filling the compliance report template with the multimodal process data to form an original report data structure; applying a preset cryptographic processing procedure to the original report data structure to generate an integrity verification value corresponding to the original report data structure, and acquiring a digital timestamp representing the generation behavior; and generating a structured work compliance report file based on the original report data structure, the integrity verification value, and the digital timestamp, the file containing report content generated according to the original report data structure, and integrity verification information composed of the integrity verification value and the digital timestamp.
[0017] As one or more embodiments of the present invention, the method may further include the following additional technical features:
[0018] The steps of generating the integrity verification value and obtaining the digital timestamp include: applying a cryptographic hash algorithm (such as SHA-256 or SM3 algorithm) to the original report data structure or a preset part thereof to generate an integrity verification digest as the integrity verification value, and obtaining a trusted digital timestamp associated with the generation behavior of the original report data structure.
[0019] The method further includes submitting the integrity verification digest as transaction data to a distributed ledger (such as an enterprise private chain or consortium chain) to obtain transaction record information (such as block height and transaction hash) containing the digest, and including the transaction record information when generating the structured operation compliance report file to provide a higher level of tamper-proof technology.
[0020] The steps of automatically retrieving and integrating multimodal process data include: using a standardized data model based on a unified time axis to convert all data retrieved from various data storage units with different timestamp formats and precisions into a unified UTC timestamp and perform time axis alignment; then mapping and converting data with different structures into preset standardized data objects.
[0021] The verification conclusion generated by the artificial intelligence vision algorithm is produced by a scene understanding model after performing multi-target detection, state analysis, and logical relationship judgment on the input work site images or video streams. The logical relationship judgment includes determining the relative positional relationship between safety warning facilities and the entrance to the work area, and can also combine time-series video stream analysis to determine whether safety measures have continuous stability during the operation. Furthermore, the algorithm can also perform differential analysis by comparing site images before and after the operation to determine whether the site has returned to a preset baseline state or whether any debris remains.
[0022] The personnel access data includes system verification records of personnel qualifications, pre-job blood alcohol content test data, fatigue detection data obtained through artificial intelligence visual analysis, or pre-job health commitment records.
[0023] The multimodal process data also includes tool and equipment access data, safety measure verification data, and process event record data.
[0024] The compliance report template defines the report's chapter structure, data field identifiers used to map the multimodal process data, and the data's presentation format.
[0025] The generated structured operation compliance report file is a fixed-format document, such as PDF (Portable Document Format), which aims to integrate and solidify the content, format, and verification information to facilitate subsequent verification and increase the difficulty of unauthorized editing.
[0026] To achieve the above objectives, the present invention also provides an automated operation compliance report generation system, apparatus, and computer-readable storage medium, the structure and function of which correspond to the aforementioned method.
[0027] Beneficial effects
[0028] Compared with the prior art, the present invention has the following beneficial effects:
[0029] 1. Enhanced technical credibility and traceability of report data: This invention generates integrity verification values by applying cryptographic hash algorithms to the original report data structure and combining them with digital timestamps, ensuring that any alterations to the report content can be technically detected. This provides a deterministic technical means to verify the originality and integrity of the report from its generation. Furthermore, by combining with distributed ledger technology, it can provide a higher level of tamper-proof and non-repudiation proof.
[0030] 2. The report generation process is automated, improving efficiency and accuracy: This invention automatically executes the complete process of data retrieval, integration, filling and report generation in response to the end signal of the task, shortening the report production cycle, reducing the burden of repetitive data processing work on safety management personnel, and avoiding data omissions or errors caused by human negligence or operational mistakes.
[0031] 3. This invention provides a technical approach for integrating multi-source heterogeneous data: By adopting a unified time axis alignment and a standardized data model, this invention can process multimodal data from different systems with different formats and time bases, ensuring the consistency and accuracy of the integrated process data in the time series, and providing technical support for generating complete and authentic compliance reports.
[0032] 4. Promotes the standardization and normalization of reports: By adopting a pre-set report template that matches the type of work, this invention ensures that the generated series of compliance reports maintain uniformity in structure, format and content elements, which facilitates subsequent standardized archiving, rapid retrieval, and big data analysis and risk trend prediction based on structured data. Attached Figure Description
[0033] To more clearly illustrate the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below.
[0034] Figure 1 This is a flowchart illustrating a method for generating an automated work compliance report, as provided in an embodiment of the present invention.
[0035] Figure 2 This is a functional block diagram of an automated operation compliance report generation system provided in an embodiment of the present invention. Detailed Implementation
[0036] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
[0037] Example 1
[0038] Please see Figure 1This embodiment provides a method for generating automated operation compliance reports, applicable to a security production management platform deployed on a cloud server or local server. The specific steps of this method are as follows:
[0039] Step S101: Obtain the job end trigger signal associated with the job ticket.
[0040] Taking a "confined space operation" with a unique identifier (e.g., work ticket number WP20250718001) as an example, when the on-site operation is completed and the work ticket status changes from "in progress" to "closed" in the system, this status change event constitutes an operation completion trigger signal, which is captured by this system.
[0041] Step S102: In response to the trigger signal, based on the unique identifier of the work ticket, automatically retrieve the multimodal process data associated with the current work process.
[0042] In response to the trigger signal, the system initiates parallel query requests to multiple data storage units stored in different business systems, using the job ticket number 'WP20250718001' as a unified index.
[0043] In this step, the system employs a normalized data model based on a unified timeline. It first converts all data retrieved from various data storage units, which have different timestamp formats and precisions (such as second-level video frames, millisecond-level sensor readings, and minute-level attendance records), into a unified UTC timestamp and aligns them to the timeline. Subsequently, data with different structures (such as JSON, Text, and binary streams) is mapped and converted into a predefined normalized data object. An example of a normalized data object can be a JSON object with the structure: { "timestamp_utc": "2025-07-18T10:30:05.123Z", "source_id": "GasDetector_01", "data_type": "gas_concentration", "value": {"o2": 20.9, "h2s": 0}}. Regardless of the source of the original data, it will be converted to this unified structure.
[0044] The retrieved data covers the job lifecycle and may include:
[0045] (a) Data in the pre-operation preparation stage: system verification records of the operator's qualifications (special operation certificate); blood alcohol content data uploaded by the pre-job alcohol tester; certificates of conformity and periodic inspection records of the tools (such as explosion-proof fans) returned by the tool management system.
[0046] (ii) Monitoring data during operation: continuous time-series data of oxygen, hydrogen sulfide and other gas concentrations uploaded by multi-function gas detectors deployed in confined spaces; verification conclusion that "safety warning signs have been deployed in accordance with specifications" generated by analyzing video streams at the entrance of the work area through artificial intelligence visual algorithms; periodic location check-in records generated by the supervisor through communication between their handheld terminal and the on-site Bluetooth beacon; alarm event records and associated captured images of "personnel not wearing safety helmets" triggered during the operation.
[0047] (iii) Data in the final stage after the operation: The verification conclusion of "the site has been cleared and there are no left behind" is generated by the artificial intelligence vision algorithm by comparing the on-site images before and after the operation and performing differential analysis.
[0048] In one embodiment of the present invention, if the multimodal data retrieval module fails to successfully obtain the preset necessary data from a certain data storage unit within a specified time (e.g., data transmission interruption of the gas detector), the system can be configured to execute preset exception handling logic. For example, a "data incompleteness report" can be generated, clearly marking the missing data items and their possible causes; or the missing data items can be clearly marked in the report with the reasons noted, while still generating a report with a warning mark, and simultaneously triggering an alarm via system message, SMS, or email to notify relevant management personnel for manual verification and intervention. This exception handling mechanism ensures the robustness of the entire automated process.
[0049] Step S103: Match the corresponding compliance report template from the preset template library according to the type of the work ticket.
[0050] The system identified the work ticket type as "Confined Space Operation" and selected a compliance report template named Template_ConfinedSpace_V1.0.xml from the template library. This template predefines the report structure, sections, and required data field identifiers.
[0051] Step S104: Automatically fill the multimodal process data into the preset data field of the compliance report template to form an original report data structure; and apply a preset cryptographic processing procedure to the original report data structure.
[0052] First, the system's data population service maps and populates the various standardized data objects obtained in step S102 with the data fields of the template to form a structured, self-contained raw report data structure (such as an XML or JSON object).
[0053] Subsequently, the system performs cryptographic processing on the original report data structure. Specifically, the system calls a cryptographic hashing module to apply a cryptographic hashing algorithm (e.g., SHA-256 or the national standard SM3 algorithm) to the complete content of the XML or JSON object, generating a unique, fixed-length integrity check digest, which is the integrity check value described in this invention. Simultaneously, the system obtains a digital timestamp precisely associated with the hash generation from a trusted time source (such as the National Time Service Center server) via the Network Time Protocol (NTP).
[0054] Step S105: Based on the original report data structure, the integrity verification value, and the digital timestamp, generate a structured job compliance report file containing integrity verification information.
[0055] The report generation service invokes a rendering engine (such as PDF-lib) to render the populated original report data structure into a PDF file with fixed content. During the generation process, the integrity verification summary and digital timestamp generated in step S104 are embedded together as "integrity verification information" in the footer of the PDF file or in a dedicated verification information page. This provides verifiable technical evidence for the integrity of the report content and the generation time. The final generated PDF report file is automatically archived in the electronic archive associated with the work ticket.
[0056] Example 2
[0057] Please see Figure 2 This embodiment provides an automated operation compliance report generation system 200 and apparatus. The system may include a processor 210, a memory 220, and a communication interface (not shown in the figure). The memory 220 stores computer program instructions, which, when executed by the processor 210, implement the corresponding functions of the method described in this invention.
[0058] In this embodiment, the computer program logically constitutes several functional modules / devices, thereby forming the device described in claim 15. These modules include: a trigger signal receiving module 201, a multimodal data retrieval module 202, a compliance template matching module 203, a data filling module 204, an integrity data generation module 205, and a report generation and output module 206. The specific working method of each module in this embodiment can be referred to the corresponding method steps in embodiment one, wherein the data filling module 204 is used to form the original report data structure; the integrity data generation module 205 is configured to perform cryptographic hash operations to generate an integrity verification digest and obtain a digital timestamp; and the report generation and output module 206 is configured to write these verification-related information into the final report file.
[0059] Example 3
[0060] This embodiment, based on Embodiment 1, provides a scheme for enhanced evidence storage using distributed ledger technology.
[0061] In step S104 of Embodiment 1, after generating the integrity verification digest, the system performs an additional on-chain evidence storage step:
[0062] 1. The system calls an interface that interacts with the enterprise's internal private blockchain or industry consortium blockchain (e.g., by executing a pre-built smart contract function) and broadcasts the integrity verification digest along with the unique identifier of the job ticket (WP20250718001) as the payload data of the transaction to the blockchain network.
[0063] 2. After a transaction is packaged by a node and written into a new block, the system retrieves a receipt for the transaction from the blockchain network. This receipt is a structured data set that constitutes the transaction record information, including at least the block height at which the transaction was recorded and the transaction's unique hash (TxID), which serves as the transaction identifier.
[0064] 3. In step S105, in addition to writing the original hash digest and digital timestamp into the PDF report, the blockchain evidence receipt (e.g., block height, TxID) is also written into a prominent position in the report (such as the verification information page) or into the custom metadata of the PDF file.
[0065] In this way, the report's integrity is not only verified by its own embedded hash value, but its existence at a specific point in time is also reinforced by the distributed, decentralized, and tamper-proof characteristics of blockchain. Any doubts about the report's authenticity can be verified by querying the corresponding transaction hash (TxID) on a blockchain explorer to confirm whether the original report's hash value was publicly and irreversibly recorded at a specific time. This enhances the non-repudiation of the compliance report and its credibility as technical evidence. Supplementary Notes on Artificial Intelligence Vision Algorithms
[0066] To better support claim 9, the scenario understanding model involved is further explained. For example, when determining whether the relative positional relationship between the safety warning facility and the entrance to the work area conforms to the preset safety specifications, the model performs the following steps:
[0067] 1. Multi-object detection: Using pre-trained object detection algorithms (such as YOLOv5 or Faster R-CNN), the input scene image is processed to identify and locate the "safety fence" object set, "warning sign" object, and "limited space entrance" object in the image, and output their bounding box coordinates.
[0068] 2. State Analysis and Logical Relationship Judgment: The system performs geometric relationship calculations based on the detected bounding box coordinates. For example, it determines whether the bounding box of the "Confined Space Entrance" object is completely surrounded by the convex hull formed by the set of "Safety Fence" objects. If it is surrounded, the system generates a verification conclusion of "Complies with safety regulations: the entrance has been effectively isolated"; otherwise, it generates a conclusion of non-compliance. Simultaneously, the system checks whether the "Warning Sign" object is located within a preset adjacent area of the "Confined Space Entrance".
[0069] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.
Claims
1. A method for generating an automated job compliance report, the method comprising: The method comprises: acquiring a job end trigger signal associated with a job ticket; in response to the trigger signal, automatically retrieving multi-modal process data associated with the job process from one or more data storage units based on the unique identifier of the job ticket; according to the type of the job ticket, matching a corresponding compliance report template from a preset template library; automatically filling the multi-modal process data into the preset data field of the compliance report template to form an original report data structure; applying a preset cryptographic processing procedure to the original report data structure to generate an integrity check value corresponding to the original report data structure, and acquiring a digital timestamp representing the generation behavior; and based on the original report data structure, the integrity check value and the digital timestamp, generating a structured job compliance report file containing report content generated according to the original report data structure, and integrity check information composed of the integrity check value and the digital timestamp. The multi-modal process data includes at least one of:
2. The method of claim 1, wherein, job personnel access data reflecting the qualifications of job personnel; environmental state monitoring data reflecting the environmental conditions of the job site. The multi-modal process data further includes at least one of:
3. The method of claim 2, wherein, tool access data, including data generated after system verification of the qualification certificate, explosion-proof level or periodic inspection record of tools or equipment entering the job site; safety measure verification data, including confirmation records after personnel identification of the safety technology briefing process before the job, or verification images or conclusions generated by automatic identification of the site safety protection facility layout and completed site cleaning by artificial intelligence vision algorithm; process event record data, including violation alarm events, associated video clips, guardian location punch records and closed-loop processing records of emergency disposal work orders during the job process. The guardian location punch record is an on-duty verification record generated by the terminal device held by the guardian after communicating with the on-site verification device and completing identity authentication.
4. The method of claim 3, wherein, The job personnel access data includes system verification records of personnel qualifications, pre-job blood alcohol content detection data, fatigue detection data or pre-job health commitment records.
5. The method of claim 2, wherein, The step of applying a preset cryptographic processing procedure to the original report data structure to generate an integrity check value specifically includes:
6. The method of claim 1, wherein, applying a cryptographic hash algorithm to the original report data structure or its preset part to generate an integrity check digest as the integrity check value. The method further comprises:
7. The method of claim 6, wherein, submitting the integrity check digest as transaction data to a distributed ledger to obtain transaction record information containing the digest, the transaction record information at least including block information or transaction identifier of the transaction in the distributed ledger; and including the transaction record information in the structured job compliance report file for tracing verification of the existence and integrity of the original report data structure. 8. The method of claim 3, wherein, The verification conclusion generated by the artificial intelligence vision algorithm includes an automatic assessment result of at least one of the deployment status, ongoing status, or site restoration status of safety measures at the work site after the work is completed.
9. The method of claim 8, wherein, The automatic evaluation result is generated by a scene understanding model after performing multi-target detection, state analysis and logical relationship judgment on the input work site images or video streams. The logical relationship judgment includes at least judging whether the relative positional relationship between the safety warning facilities and the entrance of the work area conforms to the preset safety specifications.
10. The method of claim 9, wherein, The automatic evaluation results also include: by comparing the site images before and after the operation, differential analysis is performed to determine whether the site has been restored to the preset baseline state or whether there are any remaining objects.
11. The method of claim 1, wherein, The step of automatically retrieving and integrating multimodal process data associated with the current operation includes: Data retrieved from different data storage units, with different time bases and formats, are aligned based on a unified timeline and converted into preset normalized data objects.
12. The method of claim 1, wherein, The compliance report template defines the report's chapter structure, data field identifiers used to map the multimodal process data, and the data's presentation format.
13. The method of claim 1, wherein, The generated structured operation compliance report file is in a fixed format.
14. A system for the generation of automated job compliance reports, characterized by, include: One or more processors; A memory storing a computer program configured to, when executed by the one or more processors, implement the method as described in any one of claims 1 to 13.
15. An automated operation compliance report generation device, characterized in that, include: The trigger signal receiving module is configured to acquire the work end trigger signal associated with the work ticket; The multimodal data retrieval module is configured to automatically retrieve multimodal process data associated with the current operation process from one or more data storage units in response to the trigger signal, based on the unique identifier of the work ticket. The compliance template matching module is configured to match the corresponding compliance report template from a preset template library based on the type of the work ticket; The data population module is configured to automatically populate the multimodal process data into the preset data field of the compliance report template to form an original report data structure; The integrity data generation module is configured to apply a preset cryptographic processing procedure to the original report data structure to generate an integrity verification value corresponding to the original report data structure and obtain a digital timestamp representing the generation behavior. as well as The report generation and output module is configured to generate a structured operation compliance report file based on the original report data structure, the integrity check value, and the digital timestamp. The file contains report content generated according to the original report data structure, and integrity check information composed of the integrity check value and the digital timestamp.
16. The apparatus of claim 15, wherein, The integrity data generation module is further configured to: A cryptographic hash algorithm is applied to the original report data structure or a preset portion thereof to generate an integrity verification digest that serves as the integrity verification value, and a digital timestamp associated with the generation behavior of the original report data structure is obtained.
17. A computer readable storage medium having stored thereon a computer program, characterized in that When the computer program is executed by a processor, it implements the method as described in any one of claims 1 to 13.