Intelligent management method and system for full-link core drilling quality detection of water conservancy project

Abstract

The invention discloses a hydraulic engineering full-link core drilling quality detection intelligent management method and system, and the method comprises the steps: S1, selecting a drilling position for drilling and coring, and obtaining a sample; s2, sample label information is read and synchronized to an LIMS system, electronic tracking codes are generated, and classified storage is carried out according to preset positions; s3, scanning the code to obtain sample information, verifying the identity of the sample, and testing the sample after the sample is correct; s4, after sample detection is finished, encrypting sample data, transmitting the encrypted sample data to an LIMS system, and generating a sample report through a Web application program in combination with an NLG; and S5, pushing the detection report to the representative unit through a notification mechanism, and synchronously sending the report to the representative designated mailbox to complete transmission of report information. According to the method, a whole-process intelligent ecological system from a drilling site to laboratory detection to report delivery is formed, the space-time limitation and technical barriers of information acquisition are broken, and the timeliness and transparency of project quality information transmission are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent sample quality detection, and in particular to an intelligent management method and system for full-link core drilling quality detection of a water conservancy project. Background Art

[0002] As a key component of infrastructure, core drilling quality inspection of water conservancy projects is one of the core means of evaluating the quality of water conservancy project structures. It can accurately obtain core samples of key parts such as concrete and dam bodies, thereby providing key data support for analyzing the internal structural conditions of the project. In the process of traditional water conservancy project construction, with the continuous expansion of project scale and the continuous increase in technical complexity, the shortcomings of core drilling quality inspection in information management and process control have become increasingly prominent, becoming a key factor restricting the efficient evaluation and refined management of project quality, and it is urgently needed to innovate technical means to make a breakthrough.

[0003] In the construction scenario of large-scale water conservancy hubs, the project involves the collection and analysis of massive drill core samples. In the traditional mode, sample information records mostly rely on manual filling out of paper forms. When faced with large-scale samples, this method is very likely to cause problems such as duplicate numbers and information errors due to human negligence, causing sample traceability to be in trouble, seriously interfering with the accuracy and timeliness of project quality assessment. At the same time, in the laboratory testing process, each link is relatively isolated, and the sample flow and data transmission mainly rely on manual handling and oral handover, which is not only inefficient, but also easy to cause data deviation or loss during the transmission process, greatly increasing the uncertainty and risk factor of project quality control. In view of this, the development of a full-link drill core quality inspection intelligent management technology that integrates efficient information management, precise process control and reliable data assurance has become a top priority to improve the quality inspection level of water conservancy projects and ensure the safe and stable operation of projects.

[0004] Traditional drill core quality inspection technology solutions are relatively simple in terms of information management architecture. During the sampling stage, workers usually only handwrite simple numbers and a small amount of basic information on paper labels, such as a general description of the sampling location, and lack a means of recording detailed information about the sampling process (such as real-time drilling conditions, operator operation details, etc.). This extensive recording method seriously lacks the integrity of sampling information. Once the paper label is damaged or lost, the source of the sample and related background information are difficult to trace, which poses a hidden danger to subsequent analysis.

[0005] In the laboratory, sample reception and storage mainly rely on manual identification of paper label information, and samples are placed in specific areas based on experience. During the testing process, testers need to manually check paper records to find the corresponding test items and standards for the samples, which is cumbersome and error-prone. Due to the lack of a unified and efficient information tracking mechanism, the sample circulation path within the laboratory is unclear, and it is difficult to monitor its status and location in real time. Problems such as sample backlogs and chaotic testing sequences often occur, which seriously delays the testing cycle and reduces the efficiency of engineering quality feedback.

[0006] Therefore, traditional technology has high dependence on manual labor, extensive information management, and poor process coordination. Although it has the advantages of simple operation and no need for complex equipment investment, it has significant disadvantages when facing the needs of large-scale, high-standard water conservancy project construction. It can no longer meet the requirements of modern water conservancy projects for high efficiency, accuracy and reliability of core drilling quality inspection, and has become a bottleneck for improving project quality.

[0007] With the initial penetration of information technology, some existing core drilling quality inspection technologies for water conservancy projects have achieved digital improvements to a certain extent. For example, some laboratories have introduced basic sample management software, which can enter information such as sample numbers and basic attributes into the database for electronic storage and simple query. In terms of data transmission, some links use conventional network transmission technology to replace manual transmission, which improves data transmission efficiency to a certain extent.

[0008] However, the existing technology still has many defects. At the information integration level, the compatibility between the software systems in each link is poor, and the data interface standards are not unified, forming many "information islands", which makes it difficult for data to interact between different systems and cannot achieve smooth sharing and collaborative processing of full-link information. In terms of sample identification and test fairness assurance, although there is a numbering system, it is difficult to overcome the subjective interference of testers and cannot ensure the absolute objectivity and fairness of the test results. In the report generation and release stage, the report template is single, the content is obscure, and professionals are required to operate complex systems to view the report results. It is impossible to timely and intuitively convey key information on project quality to non-professionals such as owners, which hinders efficient communication and decision-making among all parties involved in the project construction.

[0009] To this end, this application proposes an intelligent management technology solution for the entire link of core drilling quality inspection in water conservancy projects, which deeply integrates cutting-edge technologies such as the Internet of Things, blockchain, and natural language generation, and builds a full-process intelligent ecological system from drilling site to laboratory testing to report delivery. It effectively overcomes the key difficulties of traditional and existing technologies and brings significant technical results in multiple dimensions. Summary of the invention

[0010] The present invention provides an intelligent management method for full-link core drilling quality detection of a water conservancy project, comprising the following steps:

[0011] S1. Select a drilling location to drill and coring holes to obtain samples;

[0012] S2. After the samples are sent to the laboratory, the sample label information is read by a scanning device and synchronized to the LIMS system, an electronic tracking code is generated, and the samples are classified and stored according to the preset location;

[0013] S3. Before testing the sample, scan the code to obtain the sample information and verify the sample identity. After confirming that it is correct, test the sample;

[0014] S4. After the sample test is completed, the sample data is encrypted and transmitted to the LIMS system, and a sample report is generated by combining the Web application with NLG;

[0015] S5. When the report is completed, the notification mechanism is triggered to accurately push the test report to the representative unit, and simultaneously send the report in the form of multiple documents to the representative's designated email address to complete the delivery of the report information.

[0016] Preferably, the obtaining of samples comprises the following steps:

[0017] S1.1. Assign a unique number to each sampling point before sampling and enter it into the mobile APP;

[0018] S1.2. When sampling, use a label printer to generate a QR code or barcode label containing key information and affix it to the core sample container;

[0019] S1.3. After sampling, scan the sample QR code or barcode label and upload the sample information to the cloud management system synchronously to establish a one-to-one correspondence between the sample and the collected information.

[0020] Preferably, the key information in S1.2 includes but is not limited to on-site drilling and coring photos of the sample, sampling location information, timestamp, and operator ID information; the key information forms a complete sampling operation, which is recorded through a mobile APP to ensure that the sampling operation can be checked.

[0021] Preferably, during the sample acquisition process, a two-person review mechanism is established, and another staff member confirms the consistency of the label information and the sample again. After checking and ensuring that there are no errors, the laboratory collects the sample.

[0022] Preferably, after the LIMS system in S2 obtains the sample information, it verifies the sample information, and after confirming that it is correct, generates a unique electronic tracking code to bind to the sample, and updates the status and location of the sample in real time through the wireless network; the samples are quickly classified according to the preset positions and assigned to the designated storage locations or detection queues. After completing the detection task, the QR code on the sample is scanned again to confirm that the operation is completed and update the location status.

[0023] Preferably, before the S3 sample is tested, sample information is obtained by scanning the code to verify the identity of the sample. The scanned code includes a unique QR code or barcode label as well as a blind sample identification code. The blind sample identification code is randomly assigned after being classified and stored in a preset position, and is embedded in the unique QR code or barcode label attached to the sample. Before the sample enters the laboratory testing phase, when the operator reads the label through a scanning device, it is read together with the basic information of the sample, ensuring that the tester cannot know the specific source of the sample in advance and avoiding deviations caused by subjective factors.

[0024] Preferably, in S4, after the sample test is completed, the detection equipment uploads the generated sample data to the laboratory information management system LIMS; the detection equipment is equipped with a high-bandwidth 4G / 5G module for real-time transmission to the cloud server; the data is encrypted using the encryption standard AES during transmission to ensure data security.

[0025] Preferably, during the data upload process, data integrity and consistency checks are automatically performed to ensure that no data is lost or damaged. If abnormal data is detected, an alarm is immediately triggered and the relevant data is retransmitted to ensure that all data is accurate. The data transmission uses blockchain technology, and an unalterable record entry is generated after each data upload to ensure the authenticity of the data.

[0026] Preferably, after the data is uploaded, the natural language generation technology NLG is integrated through the Web application to generate a test report; the application has built-in multiple report format options, and users can customize the report content according to their needs, including charts and image displays, so that non-professionals can easily understand the project progress and technical details; the application has a built-in real-time update module to ensure that the report always reflects the latest test results; after the test report is generated, a push notification is sent to remind the supervision representative, construction representative and owner representative that the test report has been completed, and to remind them to check the latest report; after each report is generated, a unique label code is automatically generated; the label code is bound to the report and stored in the cloud database; the owner unit directly accesses the corresponding test results and report pages by scanning the label code, without having to log in to a complex system or remember cumbersome URLs.

[0027] An intelligent management system for full-link core drilling quality detection of water conservancy projects, including a mobile APP module, a label module, a cloud module, an information management module, a detection module, and a mobile program module;

[0028] The mobile APP module is used to pre-enter the sampling point number and related information, record the sampling operation process, and support a double-check mechanism. It is connected to the label module and the cloud module, and transmits the sampling information to the label module to generate a label, and after the sampling is completed, the information is synchronously uploaded to the cloud module;

[0029] The label module is used to generate a unique identification label containing a QR code or a barcode, a sampling point number, and key information, and attach it to the core sample container; the label module receives information transmitted by the mobile terminal APP module to make a label;

[0030] The cloud module receives the sample information uploaded by the mobile APP module, establishes a one-to-one correspondence between the sample and the collected information, and interacts with the information management module to ensure accurate transmission and management of information in different links;

[0031] The information management module reads and verifies the label information when the laboratory receives the sample, generates an electronic tracking code and binds it to the sample, automatically classifies the sample and updates the status, interacts with the test equipment during the test phase, receives the test data and uploads it to the cloud module, and provides a real-time monitoring interface and abnormal alarm function;

[0032] The detection module identifies the sample by scanning the code, starts the test process according to the preset program, verifies the sample identity information before testing, and uploads the test data to the cloud module;

[0033] After the data is uploaded, the mobile program module integrates natural language generation technology NLG, generates a test report, provides multiple report format options and real-time update functions, generates a QR code bound to the report, stores the QR code information by connecting to the cloud module, and sends a push notification to the owner unit.

[0034] Compared with the prior art, the technical solution of this application has the following technical effects:

[0035] In the sampling process, the present invention uses the mobile APP and the automatic numbering label printer to work together to comprehensively collect and instantly upload rich information including on-site high-definition photos, precise location coordinates, time nodes, operator unique identification, etc. to the cloud system. At the same time, a two-person review mechanism is introduced to ensure that the sampling information is accurate and completely traceable, build a solid data foundation from the source, and effectively avoid the inherent defects of traditional manual records. In the laboratory process, the LIMS system is closely linked with advanced scanning equipment and automated testing equipment. It quickly identifies samples by scanning codes, automatically generates electronic tracking codes to achieve full dynamic monitoring, and intelligently allocates testing tasks according to preset programs, which greatly improves sample processing efficiency and circulation orderliness; in particular, the innovative application of blind sample identification codes successfully blocks the interference path of subjective factors of testers, and effectively guarantees the fairness and scientificity of the test results.

[0036] In the data transmission stage, the present invention relies on high-bandwidth 4G / 5G network modules and high-strength AES encryption algorithms to ensure that massive test data is transmitted to the cloud at high speed and security, and uses blockchain technology to protect the authenticity of data, achieving a qualitative leap in data verification and storage. In the report generation and publishing terminal, the natural language generation technology integrated in the Web application can flexibly customize professional and easy-to-understand report templates according to user needs, and automatically push notifications to the owner. At the same time, with the help of the convenient access mechanism of the mobile application QR code, it breaks the time and space limitations and technical barriers of information acquisition, significantly improves the timeliness and transparency of the transmission of engineering quality information, and comprehensively assists the quality control and management decision optimization of water conservancy project construction, and effectively promotes the quality inspection technology innovation and digital transformation process of the water conservancy project industry.

[0037] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application so that it can be implemented in accordance with the contents of the specification, and to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the following is a detailed description of the preferred embodiments of the present application in conjunction with the accompanying drawings as follows.

[0038] Based on the detailed description of the specific embodiments of the present application in combination with the accompanying drawings below, those skilled in the art will become more aware of the above and other objects, advantages and features of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can also be obtained based on these drawings without creative work. In all drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, each element or part is not necessarily drawn according to the actual scale.

[0040] Figure 1 , a flow chart of an intelligent management method for full-link core drilling quality detection of a water conservancy project according to the present invention;

[0041] Figure 2 , a sample acquisition flow chart of an intelligent management method for full-link core drilling quality detection of a water conservancy project according to the present invention;

[0042] Figure 3 , a structural diagram of an intelligent management system for full-link core drilling quality inspection of water conservancy projects according to the present invention. DETAILED DESCRIPTION

[0043] To make the purpose, technical scheme and advantages of the embodiment of the present application clearer, the technical scheme in the embodiment of the present application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the present application. Obviously, the described embodiment is a part of the embodiment of the present application, rather than all of the embodiments. In the following description, specific details such as specific configuration and components are provided only to help fully understand the embodiments of the present application. Therefore, it should be clear to those skilled in the art that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present application. In addition, for clarity and brevity, the description of known functions and structures is omitted in the embodiment.

[0044] It should be understood that the references to "one embodiment" or "this embodiment" throughout the specification mean that the specific features, structures, or characteristics associated with the embodiment are included in at least one embodiment of the present application. Therefore, the references to "one embodiment" or "this embodiment" appearing throughout the specification do not necessarily refer to the same embodiment. In addition, these specific features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0045] In addition, the present application may repeat reference numerals and / or letters in different examples. This repetition is for the purpose of simplicity and clarity, and does not in itself indicate the relationship between the various embodiments and / or settings discussed.

[0046] The term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, B exists alone, and A and B exist at the same time. The term " / and" in this article describes another type of association object relationship, indicating that there can be two relationships. For example, A / and B can mean: A exists alone, and A and B exist alone. In addition, the character " / " in this article generally indicates that the previous and next associated objects are in an "or" relationship.

[0047] The term "at least one" in this article is merely a description of the association relationship of associated objects, indicating that there may be three relationships. For example, at least one of A and B can mean: A exists alone, A and B exist at the same time, and B exists alone.

[0048] It should also be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusions.

[0049] Example 1

[0050] This embodiment mainly describes an intelligent management method for full-link core drilling quality detection of water conservancy projects, such as Figure 1 As shown, the following steps are included:

[0051] S1. Select a drilling location to drill and coring holes to obtain samples;

[0052] S2. After the samples are sent to the laboratory, the sample label information is read by a scanning device and synchronized to the LIMS system, an electronic tracking code is generated, and the samples are classified and stored according to the preset location;

[0053] S3. Before testing the sample, scan the code to obtain the sample information and verify the sample identity. After confirming that it is correct, test the sample;

[0054] S4. After the sample test is completed, the sample data is encrypted and transmitted to the LIMS system, and a sample report is generated by combining the Web application with NLG;

[0055] S5. When the report is completed, the notification mechanism is triggered to accurately push the test report to the representative unit, and simultaneously send the report in the form of multiple documents to the representative's designated email address to complete the delivery of the report information.

[0056] Further, if Figure 2 As shown, obtaining a sample includes the following steps:

[0057] S1.1. Assign a unique number to each sampling point before sampling and enter it into the mobile APP;

[0058] S1.2. When sampling, use a label printer to generate a QR code or barcode label containing key information and affix it to the core sample container;

[0059] S1.3. After sampling, scan the sample QR code or barcode label and upload the sample information to the cloud management system synchronously to establish a one-to-one correspondence between the sample and the collected information.

[0060] Before sampling, unique numbers are assigned to sampling points. The sampling areas are determined based on the design drawings of the project, the division of the construction area, and the preliminary geological survey data. For the sampling areas, unique numbers are assigned using regional numbering rules; for example, numbers are assigned according to the location of the dam body or the structural unit of the project, and the sampling areas are divided into grid spacings. Each area is numbered in sequence, such as A1, A2, B1, B2, etc., where letters represent different longitudinal or transverse partitions of the dam body, and numbers represent the sequence numbers within the partition. After the numbering is completed, the staff will accurately input these numbers and the corresponding regional location descriptions, expected sampling depth range and other related information through the special input interface of the mobile APP to ensure the integrity and accuracy of the information, so that the subsequent sampling and data management work can be carried out smoothly, so that the information of each sampling point can be accurately traced and effectively used in the entire quality inspection process.

[0061] Furthermore, the key information in S1.2 includes but is not limited to on-site drilling and coring photos of samples, sampling location information, timestamp, and operator ID information; the key information forms a complete sampling operation and is recorded through the mobile APP to ensure that the sampling operation can be checked.

[0062] Furthermore, during the sample acquisition process, a two-person review mechanism is established, and another staff member confirms the consistency of the label information and the sample again. After checking and ensuring that there are no errors, the sample is collected in the laboratory.

[0063] Furthermore, after the LIMS system in S2 obtains the sample information, it verifies the sample information. After confirming that it is correct, it generates a unique electronic tracking code and binds it to the sample, and updates the status and location of the sample in real time through the wireless network; it quickly classifies the samples according to the preset locations and assigns them to the designated storage locations or detection queues. After completing the detection task, it scans the QR code on the sample again to confirm that the operation is completed and update the location status.

[0064] Furthermore, before the S3 sample is tested, sample information is obtained by scanning the code to verify the sample identity. The scanned code includes a unique QR code or barcode label as well as a blind sample identification code; the blind sample identification code is randomly assigned after being classified and stored in a preset position, and embedded in the unique QR code or barcode label attached to the sample. Before the sample enters the laboratory testing phase, the operator reads the label through a scanning device and the basic information of the sample is read together, ensuring that the tester cannot know the specific source of the sample in advance and avoiding deviations caused by subjective factors.

[0065] Furthermore, in S4, after the sample test is completed, the detection equipment will upload the generated sample data to the laboratory information management system LIMS; the detection equipment is equipped with a high-bandwidth 4G / 5G module for real-time transmission to the cloud server; the data is encrypted using the encryption standard AES during transmission to ensure data security.

[0066] Furthermore, during the data upload process, data integrity and consistency checks are automatically performed to ensure that no data is lost or damaged. If abnormal data is detected, an alarm is immediately triggered and the relevant data is retransmitted to ensure that all data is accurate. Data transmission uses blockchain technology, and an unalterable record entry will be generated after each data upload to ensure the authenticity of the data.

[0067] Furthermore, after the data is uploaded, the natural language generation technology NLG is integrated through the Web application to generate a test report; the application has built-in multiple report format options, and users can customize the report content according to their needs, including charts and image displays, so that non-professionals can easily understand project progress and technical details; the application has a built-in real-time update module to ensure that the report always reflects the latest test results; after the test report is generated, a push notification is automatically sent to the designated owner unit contact to remind you to check the latest report. After each report is generated, a unique label code is automatically generated; the label code is bound to the report and stored in the cloud database; the owner unit can directly access the corresponding test results and report page by scanning the label code, without having to log in to a complex system or remember cumbersome URLs.

[0068] This embodiment describes in detail the intelligent management method for the whole-link core drilling quality inspection of water conservancy projects. Starting from the sampling stage, the unique number and mobile APP records are used to ensure that the information is accurate and traceable; in the laboratory process, the LIMS system efficiently manages samples, and the electronic tracking code and automated detection improve efficiency and fairness; during data transmission, encryption and blockchain technology ensure data security and reliability. The test report finally generated is easy for non-professionals to understand with the help of natural language generation technology and a variety of display forms, and through push notifications and convenient QR code access, it realizes rapid information transmission, which greatly improves the quality and management level of core drilling quality inspection of water conservancy projects as a whole.

[0069] Based on Example 1, during the process of obtaining samples, the samples are re-verified by setting up a two-person review mechanism, specifically: when the sampling work is initially completed, the first operator properly places the collected samples in the core sample container, enters the relevant information into the mobile APP, and uses a label printer to generate a unique identification label containing rich information and affixes it to the container. At this time, another professionally trained staff member who is familiar with the entire process comes on stage. He will use a code scanning device to check the key information on the label according to the established review standards and procedures, including but not limited to the sampling point number, whether the actual situation presented by the on-site drilling and coring photos is consistent with the appearance characteristics of the sample, whether the precise sampling location information corresponds, whether the timestamp record is accurate, and whether the operator ID is correct, etc., to ensure that the label information and the sample are highly consistent in every detail.

[0070] The samples will only be allowed to enter the laboratory for sampling after being fully checked by another staff member and confirmed to be error-free. This effectively avoids problems such as negligence, misrecording or misoperation caused by a single person, and provides a reliable data basis and sample guarantee for subsequent testing and analysis from the source, which greatly improves the quality and credibility of the entire core quality inspection work. Each sample undergoes strict information verification before entering the laboratory, ensuring that the standardization and scientific nature of the entire quality inspection process can be firmly maintained.

[0071] For the two-person review mechanism, the optimal solution of the two-person review mechanism can be replaced by a technical solution based on artificial intelligence image recognition and blockchain encryption verification in the full-link core quality inspection of water conservancy projects;

[0072] During the sample collection phase, when the operator completes sampling and places the sample into the core sample container, a high-definition camera is used to capture the sample's appearance features from multiple angles, and a high-precision sensor is used to collect the sample's physical parameters, such as weight and size, etc. These data are combined with the sampling point number, timestamp, operator ID and other information through an encryption algorithm to generate a unique digital fingerprint. Subsequently, this information and images are uploaded to a secure storage platform based on blockchain.

[0073] Before the laboratory collects samples, the artificial intelligence image recognition system will automatically analyze the uploaded sample images. It uses deep learning algorithms and has been trained with a large amount of water conservancy project core sample image data to accurately identify key information such as the sample's material texture and internal structure characteristics, and compare it with the standard core sample images of the same type of project in the database. At the same time, the blockchain platform will verify the digital fingerprint to ensure that the information has not been tampered with during transmission and corresponds to the sample one by one.

[0074] Once it is found that there is a large deviation between the image features and the standard or the information verification fails, the system will immediately issue an alarm and notify relevant professionals to conduct manual verification. If both the image recognition and blockchain verification are passed, the laboratory can directly receive the sample for subsequent testing.

[0075] The advantage of this two-person replication-based technical solution is that artificial intelligence image recognition can quickly and accurately process a large amount of complex image data, greatly improving the efficiency of the review and avoiding subjective judgment errors caused by human factors. Blockchain encryption verification ensures the security and integrity of sample information, making the entire review process more reliable and transparent. Compared with the two-person review mechanism, this solution not only reduces labor costs and time consumption, but also improves the accuracy and scientificity of the review, providing a more efficient quality assurance method for core drilling quality inspection of water conservancy projects.

[0076] This embodiment describes in detail the detailed scheme of the two-person copying technology, and at the same time improves the two-person copying technology to generate a new image feature detection technology, thereby further optimizing the two-person copying technology scheme to increase data accuracy and security.

[0077] Based on Example 1, after the data is uploaded, the web-based application integrates natural language generation technology (NLG) to automatically generate a professional and easy-to-understand test report based on a preset template. The application has built-in multiple report format options, and users can customize the report content according to their needs, including charts, image displays, etc., so that non-professionals can easily understand the project progress and technical details. At the same time, it supports real-time update functions to ensure that the report always reflects the latest test results.

[0078] When the report is generated, a push notification is automatically sent to the designated owner contact to remind them to check the latest report. After each report is generated, the system automatically generates a unique QR code, which is bound to the report and stored in the cloud database; the owner can directly access the corresponding test results and report pages by scanning the QR code, without having to log in to a complex system or remember cumbersome URLs. In order to facilitate owners to view reports anytime and anywhere, a special mobile application is developed that allows users to quickly obtain test results by scanning the QR code through a mobile phone or tablet.

[0079] The application also provides interactive charts and images to enable users to understand data more intuitively, and supports multi-level permission management to ensure that only authorized personnel can access sensitive information. Each QR code link has an expiration date and access limit to further ensure information security. In addition, all operations are recorded in detail to ensure full traceability.

[0080] Detailed description of this embodiment The application provides interactive chart and image display functions, as well as multi-level permission management, to ensure that only authorized personnel can access sensitive information, which not only enhances security in the whole link process, but also ensures multi-dimensional viewing, so that the sample information can be mastered in detail.

[0081] Example 2

[0082] This embodiment describes in detail an intelligent management system for full-link core drilling quality detection of water conservancy projects. Figure 3 As shown, it includes mobile APP module, label module, cloud module, information management module (LIMS), detection module, and mobile program module;

[0083] The mobile APP module is used to pre-enter the sampling point number and related information, record the sampling operation process, and support a double-check mechanism. It is connected to the label module and the cloud module, and transmits the sampling information to the label module to generate a label, and after the sampling is completed, the information is synchronously uploaded to the cloud module;

[0084] The label module is used to generate a unique identification label containing a QR code or a barcode, a sampling point number, and key information, and attach it to the core sample container; the label module receives information transmitted by the mobile terminal APP module to make a label;

[0085] The cloud module receives the sample information uploaded by the mobile APP module, establishes a one-to-one correspondence between the sample and the collected information, and interacts with the information management module to ensure accurate transmission and management of information in different links;

[0086] The information management module reads and verifies the label information when the laboratory receives the sample, generates an electronic tracking code and binds it to the sample, automatically classifies the sample and updates the status, interacts with the test equipment during the test phase, receives the test data and uploads it to the cloud module, and provides a real-time monitoring interface and abnormal alarm function;

[0087] The detection module identifies the sample by scanning the code, starts the test process according to the preset program, verifies the sample identity information before testing, and uploads the test data to the cloud module;

[0088] After the data is uploaded, the mobile program module integrates natural language generation technology NLG, generates a test report, provides multiple report format options and real-time update functions, generates a QR code bound to the report, stores the QR code information by connecting to the cloud module, and sends a push notification to the owner unit.

[0089] This embodiment describes in detail the intelligent management system for the full-link core drilling quality inspection of water conservancy projects. The mobile APP module ensures the accurate entry of sampling information and operation records, and uses the unique identification label generated by the label module to carry rich information for easy tracking. The cloud module realizes efficient information interaction and storage, and the LIMS system in the information management module makes the laboratory process orderly. The quality and efficiency of core drilling quality inspection management are improved through the synergy of modules.

[0090] Based on Example 2, the LIMS system provides a real-time monitoring interface, which presents the detailed status information of each sample in an all-round manner in the form of intuitive and clear charts and data lists. From the initial reception time of the sample into the laboratory to the current specific detection link, such as ongoing physical property tests, chemical composition analysis, etc., as well as completed test items and corresponding results, all are clear at a glance. It is convenient for managers to have an in-depth understanding of the key data change trends of each sample, such as the fluctuation of the test data of the compressive strength of the concrete core sample over time, or the numerical trend of the permeability coefficient of the dam material at different test stages. This enables them to plan the subsequent work process in advance based on this information, reasonably allocate laboratory resources, ensure that the entire testing process is compact and efficient, avoid delays or stagnation in any link, and truly achieve refined control of the testing process.

[0091] The LIMS system also includes an abnormal alarm function. The LIMS system has a built-in detection process and data threshold system to conduct strict quality inspections on various information of the sample. If the data of a sample deviates from the preset standard range during the detection process, such as the tensile strength of steel in a water conservancy project is lower than the minimum value required by the design, or the position information of the sample during the circulation process does not match the preset path, such as the sample that should have been sent to the chemical analysis room but mistakenly appears in the physical test area, the system will immediately trigger the alarm mechanism.

[0092] At the same time, for the alarm mode, not only will a striking warning window pop up on the monitoring interface, with flashing red fonts and high-decibel prompt sounds to attract the attention of managers, but also the detailed information of the abnormal situation will be sent to the mobile phone and mailbox of the relevant responsible person through SMS, email, etc. After receiving the alarm notification, the relevant personnel can quickly take targeted corrective measures at the first time according to the detailed abnormal data and sample information provided by the system, adjust the parameters of the testing equipment in time, recheck the sample flow records or review the samples, so as to ensure that the test work can be quickly restored to normal, ensure that the continuity of the test is not affected in the slightest, and effectively maintain the reliability and stability of the entire testing process.

[0093] For the real-time monitoring and abnormal alarm functions of the LIMS system, through continuous monitoring and data accumulation of a large number of sample testing processes, data analysis algorithms can be used to explore potential problems and patterns. If it is found that certain batches of samples have a high frequency of abnormalities in specific test items, it will prompt management personnel to conduct in-depth investigations on the procurement channels or construction processes of the batches of materials. At the same time, when dealing with much more complex projects and multi-batch sample testing tasks, it can dynamically optimize the testing task scheduling strategy based on real-time monitoring data, give priority to emergency or critical samples, and avoid wasting resources on testing samples without problems.

[0094] This embodiment describes the LIMS system in detail. Through the built-in intelligent management and decision support capabilities of real-time data, it can always maintain efficient, accurate and reliable operation when facing the heavy task of core drilling quality inspection of water conservancy projects, providing solid data guarantee and technical support for water conservancy project quality assessment.

[0095] The above are only preferred embodiments of the present invention, which do not limit the scope of protection of the present invention. For those skilled in the art, the present invention may have various modifications and changes. Any changes, modifications, replacements, integrations and parameter changes to these embodiments within the spirit and principles of the present invention through conventional substitutions or without departing from the principles and spirit of the present invention fall within the scope of protection of the present invention.

Claims

1. An intelligent management method for full-link core drilling quality detection in water conservancy projects, characterized in that: The following steps are involved: S1. Select a drilling location to drill and coring holes to obtain samples; S2. After the samples are sent to the laboratory, the sample label information is read by a scanning device and synchronized to the LIMS system, an electronic tracking code is generated, and the samples are classified and stored according to the preset location; S3. Before testing the sample, scan the code to obtain the sample information and verify the sample identity. After confirming that it is correct, test the sample; S4. After the sample test is completed, the sample data is encrypted and transmitted to the LIMS system, and a sample report is generated by combining the Web application with NLG; S5. When the report is completed, the notification mechanism is triggered to accurately push the test report to the representative unit, and simultaneously send the report in the form of multiple documents to the representative's designated email address to complete the delivery of the report information.

2. According to claim 1, a method for intelligent management of full-link core drilling quality detection in water conservancy projects is characterized in that: The sample acquisition comprises the following steps: S1.

1. Assign a unique number to each sampling point before sampling and enter it into the mobile APP; S1.

2. When sampling, use a label printer to generate a QR code or barcode label containing key information and affix it to the core sample container; S1.

3. After sampling, scan the sample QR code or barcode label and upload the sample information to the cloud management system synchronously to establish a one-to-one correspondence between the sample and the collected information.

3. According to claim 2, a method for intelligent management of full-link core drilling quality detection in water conservancy projects is characterized in that: The key information in S1.2 includes but is not limited to on-site drilling and coring photos of samples, sampling location information, timestamp, and operator ID information; the key information forms a complete sampling operation and is recorded through the mobile APP to ensure that the sampling operation can be checked.

4. According to claim 2, a method for intelligent management of full-link core drilling quality detection in water conservancy projects is characterized in that: In the process of obtaining samples, a two-person review mechanism is established, and another staff member confirms the consistency of the label information and the sample again. After checking and ensuring that there are no errors, the laboratory collects the samples.

5. According to claim 1, a method for intelligent management of full-link core drilling quality detection in water conservancy projects is characterized in that: After the LIMS system in S2 obtains the sample information, it verifies the sample information. After confirming that it is correct, it generates a unique electronic tracking code and binds it to the sample, and updates the status and location of the sample in real time through the wireless network; the samples are quickly classified according to the preset positions and assigned to the designated storage locations or detection queues. After completing the detection task, the QR code on the sample is scanned again to confirm that the operation is completed and update the location status.

6. The intelligent management method for full-link core drilling quality detection of water conservancy projects according to claim 1 is characterized in that: Before the S3 sample is tested, the sample information is obtained by scanning the code to verify the identity of the sample. The scanned code includes a unique QR code or barcode label as well as a blind sample identification code. The blind sample identification code is randomly assigned after being classified and stored in a preset position, and is embedded in the unique QR code or barcode label attached to the sample. Before the sample enters the laboratory testing phase, when the operator reads the label through a scanning device, it is read together with the basic information of the sample, ensuring that the tester cannot know the specific source of the sample in advance and avoiding deviations caused by subjective factors.

7. According to claim 1, a method for intelligent management of full-link core drilling quality detection in water conservancy projects is characterized in that: In S4, after the sample test is completed, the detection equipment uploads the generated sample data to the laboratory information management system LIMS; the detection equipment is equipped with a high-bandwidth 4G / 5G module for real-time transmission to the cloud server; the data is encrypted using the encryption standard AES during transmission to ensure data security.

8. The intelligent management method for full-link core drilling quality detection of water conservancy projects according to claim 7 is characterized in that: During the data upload process, data integrity and consistency checks are automatically performed to ensure that no data is lost or damaged. If abnormal data is detected, an alarm is immediately triggered and the relevant data is retransmitted to ensure that all data is accurate. The data transmission uses blockchain technology, and an unalterable record entry will be generated after each data upload to ensure the authenticity of the data.

9. The intelligent management method for full-link core drilling quality detection of water conservancy projects according to claim 8 is characterized in that: After the data is uploaded, the natural language generation technology NLG is integrated through the Web application to generate a test report; the application has built-in multiple report format options, and users can customize the report content according to their needs, including charts and image displays, so that non-professionals can easily understand the project progress and technical details; the application has a built-in real-time update module to ensure that the report always reflects the latest test results; after the test report is generated, a push notification is sent to remind the supervision representative, construction representative and owner representative that the test report has been completed and to remind them to check the latest report; after each report is generated, a unique label code is automatically generated; the label code is bound to the report and stored in the cloud database; The owner unit can directly access the corresponding test results and report pages by scanning the tag code without logging into a complex system or remembering cumbersome URLs.

10. An intelligent management system for full-link core drilling quality detection in water conservancy projects, characterized in that: Including mobile APP module, label module, cloud module, information management module, detection module, and mobile program module; The mobile APP module is used to pre-enter the sampling point number and related information, record the sampling operation process, and support a double-check mechanism. It is connected to the label module and the cloud module, and transmits the sampling information to the label module to generate a label, and after the sampling is completed, the information is synchronously uploaded to the cloud module; The label module is used to generate a unique identification label containing a QR code or a barcode, a sampling point number, and key information, and attach it to the core sample container; the label module receives information transmitted by the mobile terminal APP module to make a label; The cloud module receives the sample information uploaded by the mobile APP module, establishes a one-to-one correspondence between the sample and the collected information, and interacts with the information management module to ensure accurate transmission and management of information in different links; The information management module reads and verifies the label information when the laboratory receives the sample, generates an electronic tracking code and binds it to the sample, automatically classifies the sample and updates the status, interacts with the test equipment during the test phase, receives the test data and uploads it to the cloud module, and provides a real-time monitoring interface and abnormal alarm function; The detection module identifies the sample by scanning the code, starts the test process according to the preset program, verifies the sample identity information before testing, and uploads the test data to the cloud module; After the data is uploaded, the mobile program module integrates natural language generation technology NLG, generates a test report, provides multiple report format options and real-time update functions, generates a QR code bound to the report, stores the QR code information by connecting to the cloud module, and sends a push notification to the owner unit.

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