Geological laboratory network management digital saas cloud service platform system

Abstract

This invention discloses a unified digital SaaS cloud service platform system for geological laboratories, involving the technical field of digital support and supervision systems. Targeting the geological testing industry, it constructs a multi-dimensional data network, enabling competent authorities to achieve unified access and centralized collaborative supervision of laboratories at all levels, in all fields, and in all regions. A standardized digital work platform is built, covering all elements of personnel, machinery, materials, methods, and environment, as well as the entire process of operation, management, and quality control, ensuring standardized operation. Relying on information technology, it enables the association, collection, automatic generation, verification, traceability, and compliance verification of experimental data, ensuring data authenticity, integrity, and traceability, thereby reducing costs and increasing efficiency. Based on SaaS cloud deployment of data sites for each laboratory, it achieves data sharing and security auditing through hierarchical access control, strengthens the resource, technical, and management support of competent authorities, promotes collaborative sharing among laboratories, drives the digital, standardized, and intelligent upgrading of industry management, and enhances overall digital governance capabilities.

Description

Technical Field

[0001] This invention relates to the field of data sharing and supervision technology, specifically to a unified digital SaaS cloud service platform system for geological laboratories. Background Technology

[0002] Currently, geological laboratories generally adopt a decentralized management model, resulting in problems such as data silos, inefficient collaboration, and lagging supervision. Traditional laboratory information management systems are mostly deployed locally, with data collection relying on manual input and single-system integration, making it difficult to achieve unified aggregation and correlation of data on all elements including people, machines, materials, methods, and environment. Cross-laboratory data sharing processes are cumbersome, access control is lax, and data security and compliance are difficult to guarantee. Higher-level regulatory departments find it difficult to conduct real-time centralized supervision of the business operations, quality control, and system maintenance of each laboratory, and key links such as sample transfer, experimental processes, and output results lack a full traceability mechanism. At the same time, existing technologies mostly focus on the internal management of a single laboratory, do not support centralized cloud deployment and rapid access, and have insufficient data sharing scope, response efficiency, and dynamic scheduling capabilities, making it difficult to simultaneously meet the digital transformation needs of the geological industry for unified management, hierarchical collaboration, and resource sharing across all laboratories.

[0003] On the other hand, the data sharing process lacks standardized support, and data requests across units and regions often rely on manual communication, resulting in problems such as delayed response, low data matching, and vague control over the scope of sharing, which seriously restricts the efficiency of industry collaboration. In addition, there is a lack of effective real-time monitoring methods during the data sharing process, and the response status of laboratory data sites and the compliance of data transmission are difficult to trace, which further exacerbates the uncertainty of data sharing. To address this, a unified digital SaaS cloud service platform system for geological laboratories is provided. Summary of the Invention

[0004] The purpose of this invention is to provide a unified digital SaaS cloud service platform system for geological laboratories to address the shortcomings in the prior art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: The geological laboratory unified management digital SaaS cloud service platform system includes a control terminal, which is communicatively connected to a cloud deployment module, a central management and control module, and a shared auxiliary supervision module. The control terminal includes a competent department and multiple subordinate departments. The competent department connects to the subordinate departments and performs full-process control. The subordinate departments include multiple geological laboratories. The cloud deployment module is used to acquire geological experimental data from various geological laboratories in real time, establish related data chains based on the geological experimental data, set multi-level data access permissions, set up laboratory data stations for each geological laboratory, and connect the laboratory data stations according to the geographical location of the geological laboratories to establish a multi-dimensional data network. The central control module is used to acquire data sharing requests, map the sending end of the data sharing request to a multi-dimensional data network, and then establish a multi-access circle based on the data sharing request with the sending end as the center. The returned data is obtained from various laboratory data stations through the multi-access circle, and then the returned data from various laboratory data stations is integrated to generate shared geological experimental data and sent to the sending end. The shared auxiliary monitoring module is used to monitor the response process of laboratory data sites to multiple access circles, and generate corresponding response prompts for laboratory data sites based on the monitoring results.

[0006] Furthermore, the cloud deployment module achieves real-time acquisition of geological experimental data through a triple data acquisition channel, including a standardized API interface interface channel, an automatic upload and synchronization channel, and a manual input and verification channel.

[0007] Furthermore, the process of establishing a multi-dimensional data network based on geological experimental data includes: First, geological experimental data in different formats were uniformly converted into the platform's standard data format, and a unique identifier was added to each data point. For geological experimental data from any geological laboratory, obtain the feature vector corresponding to the unique feature of each geological experimental data. Then, use the cosine similarity algorithm to calculate the correlation between the feature vectors of different geological experimental data. Set a correlation threshold, and associate and bind geological experimental data corresponding to unique feature of the correlation with a correlation greater than or equal to the correlation threshold. Do not associate and bind geological experimental data corresponding to unique feature of the correlation with a correlation less than the correlation threshold, thereby forming a data association chain. Based on the IP addresses, geographic information, and user accounts of each geological laboratory, corresponding laboratory data sites are deployed on the SaaS cloud. Each laboratory data site is configured with an independent storage unit and data index. At the same time, a geographic topology relationship is established between the laboratory data sites. Then, based on the geographic topology relationship, the laboratory data sites are interconnected to obtain a multi-dimensional data network. Furthermore, based on the process of obtaining the correlation between the unique features of each geological experimental data, the correlation between data association chains of adjacent spatially located laboratory data sites is obtained. According to the relationship between the correlation degree and the correlation degree threshold, the geological experimental data contained in different data association chains are associated and bound.

[0008] Furthermore, the process for setting the multi-level data access permissions includes: Multi-level data access permissions are set for the geological experimental data contained in each laboratory data site within the multi-dimensional data network. The multi-level data access permissions are divided into super administrator permissions, laboratory management permissions, business collaborator permissions, and consultation user permissions in descending order of permission level.

[0009] Furthermore, the process of mapping the sender of the data sharing request to a multi-dimensional data network includes: The data sharing request includes the request type, requirement description, expected response time, and required data range, and also requires the upload of identity verification credentials. First, the authentication credentials and data access permission level of the sending end are verified to confirm whether it is qualified to initiate a data sharing request. If the verification fails, a message indicating insufficient data access permission is returned to the sending end, and a request exception log is recorded. If the verification passes, the process proceeds to the next step. The central control module obtains the physical address of the transmitter by combining the transmitter's IP address, device MAC address, and GPS positioning information. Then, it matches the physical address with the geographical topology in the multi-dimensional data network to determine the virtual mapping location of the transmitter in the data network. The virtual mapping location is associated with the corresponding laboratory data site.

[0010] Furthermore, the process of establishing multiple access circles based on data sharing requests includes: Using the virtual mapping position of the sending end as the center, multiple access circles are generated according to the request type and data access permissions of the data sharing request. The radius of the multiple access circles is dynamically adjusted according to the request type. The multiple access circles consist of several access circles. The spacing between adjacent access circles is set according to the data access permissions corresponding to the data sharing requirements. The spacing between adjacent access circles is used to achieve the sending interval. The shorter the spacing, the shorter the sending interval. At the same time, several requirement feature words are generated based on the requirement description of data sharing needs, and requirement feature words are set on the edges of each access circle, with each access circle having the same requirement feature words.

[0011] Furthermore, the process of retrieving returned data from various laboratory data sites through multiple access loops includes: After the multiple access circles are generated, starting from the virtual mapping position of the sending end, n access circles are sent to the laboratory data stations within the multiple access circles using a ripple diffusion method, where n is a natural number greater than 5. The laboratory data station matches the demand feature words attached to the access circle with the data association chain. If it is determined that there is data content that matches the demand feature words, the laboratory data station determines the data permission level of the corresponding multi-access circle based on the received time interval between adjacent access circles. If the data access permission level is determined to be higher than or equal to the data access permission level of the data content, the laboratory data site will automatically extract matching data and perform preliminary processing to generate return data. At the same time, based on the corresponding data content, determine whether the other geological experimental data connected in the data association chain are in the laboratory data sites covered by the multi-access circle. If they are found to exist, the central control module adds the storage address of the corresponding other geological experimental data to the edge of the access circle. If they are not found to exist, they are not added. If the data permission level is deemed insufficient, the response is rejected, and a feedback message indicating permission mismatch is returned to the central control module.

[0012] Furthermore, the process of monitoring the response of laboratory data sites to multiple access circles includes: During the process of each laboratory data station responding to the multiple access circle, the shared auxiliary monitoring module monitors the response status of each laboratory data station to the multiple access circle in real time, and generates corresponding response prompts based on the monitoring results. The monitoring dimensions include response duration threshold and response integrity. Before the laboratory data station sends the return data to the sending end, a data transmission channel is established between the corresponding laboratory data station and the sending end. At the same time, the bandwidth is dynamically adjusted according to the real-time network conditions and data volume during the data transmission process between the return data and the sending end.

[0013] Furthermore, the process of integrating data returned from various laboratory data sites to generate shared geological experimental data and sending it to the sending end includes: For any access circle's returned data, the central control module matches the returned data from each laboratory data station with each other, removes duplicate parts based on the matching results, and then integrates the returned data to generate shared geological experimental data based on information such as the request type and requirement description in the data sharing request. The shared geological experimental data generated in different access circles corresponding to the same multi-access circle are matched with each other. If it is determined that the shared geological experimental data of each access circle is completely consistent, the central control module will send the shared geological experimental data to the sending end. If inconsistent data content exists, requirement feature words are generated based on the inconsistent data content, and multiple access circles are regenerated to obtain returned data from various laboratory data sites. The inconsistent data content in each shared geological experimental data is replaced by the returned data, and the shared geological experimental data of each access circle is judged again to see if they are completely consistent. The process of judging whether the shared geological experimental data are completely consistent is repeated until the shared geological experimental data are completely consistent or the number of judgments exceeds the preset tolerance threshold.

[0014] The technical effects and advantages provided by the present invention in the above technical solution are as follows: 1. This invention logically links isolated geological experimental data from various laboratories and constructs a multi-dimensional data network based on geographical location, thus forming an organic whole from scattered data. The design of the laboratory data sites enables personalized storage and unified access to data from each laboratory, ensuring the independence of data ownership, alleviating the problems of data dispersion and retrieval difficulties, and improving data reuse rate and management efficiency to a certain extent.

[0015] 2. This invention constructs a multi-access circle centered on the sending end, covering laboratory data sites that match the data sharing request, avoiding invalid data retrieval, quickly acquiring target data and integrating and pushing it, simplifying the cumbersome process of traditional manual docking, breaking down data sharing barriers across laboratories and regions, shortening the data circulation cycle, and providing efficient support for scenarios such as scientific research collaboration, business commissioning, and results exchange. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0017] Figure 1 This is a system block diagram of the geological laboratory unified digital SaaS cloud service platform system described in this invention.

[0018] Figure 2 This is a schematic diagram of the control terminal described in this invention.

[0019] Figure 3 This is a schematic diagram illustrating the diffusion process of the multiple access circles in a multi-dimensional data network as described in this invention. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] Please see Figure 1 As shown, the geological laboratory unified management digital SaaS cloud service platform system includes a control terminal, which is communicatively connected to a cloud deployment module, a central management and control module, and a shared auxiliary supervision module. Please see Figure 2 The control terminal shown includes a competent department and multiple subordinate departments. The competent department connects to the subordinate departments and performs full-process control. The subordinate departments include multiple geological laboratories. The cloud deployment module is used to acquire geological experimental data from various geological laboratories in real time, establish related data chains based on the geological experimental data, set multi-level data access permissions, set up laboratory data stations for each geological laboratory, and connect the laboratory data stations according to the geographical location of the geological laboratories to establish a multi-dimensional data network. The central control module is used to acquire data sharing requests, map the sending end of the data sharing request to a multi-dimensional data network, and then establish a multi-access circle based on the data sharing request with the sending end as the center. The returned data is obtained from various laboratory data stations through the multi-access circle, and then the returned data from various laboratory data stations is integrated to generate shared geological experimental data and sent to the sending end. The shared auxiliary monitoring module is used to monitor the response process of laboratory data sites to multiple access circles, and generate corresponding response prompts for laboratory data sites based on the monitoring results.

[0022] The working principle of the present invention is illustrated below through examples: The control terminal, as the core operation and management hub, undertakes the key functions of overall coordination, hierarchical management, and collaborative linkage, ensuring that data is traceable, control is implementable, and collaboration is efficient throughout the entire geological experiment process. The competent authority, as the highest-level management body, typically corresponds to the geological industry's governing body, regional geological management department, or the core management of a large geological research institution. It is primarily responsible for the platform's overall strategic planning, rule formulation, permission allocation, and full-process supervision. It serves as a crucial hub connecting various subordinate departments with other core modules of the platform (cloud deployment module, central control module, and shared auxiliary supervision module), playing a pivotal role in bridging the gap between higher and lower levels.

[0023] In terms of connectivity, the competent authority establishes dedicated communication channels with each subordinate department through encrypted network links to ensure the security and real-time nature of data transmission. It also supports tiered access and dynamic adjustments for subordinate departments, allowing for the addition, removal, or adjustment of departments based on management needs, flexibly adapting to the geological management requirements of different regions and levels. Full-process control permeates all aspects of the work of subordinate departments and geological laboratories, covering the entire chain from experimental task allocation, data collection and reporting, instrument operation monitoring, personnel qualification management, reagent and consumable control, and experimental quality auditing. The competent authority can view the work progress and data dynamics of each subordinate department and laboratory in real time, promptly identify problems, and urge rectification, ensuring that geological experimental work is carried out in a standardized, efficient, and orderly manner.

[0024] Subordinate departments, serving as an intermediate management level between the competent authority and geological laboratories, act as a bridge and link. Their structure needs to be rationally divided based on the administrative regions, business areas, or professional classifications of geological management. They typically include regional geological laboratory management institutions, specialized geological testing centers, and geological research branches. Each subordinate department is equipped with a dedicated management team and control terminal, responsible for receiving various management instructions from the competent authority, and simultaneously coordinating the management of multiple geological laboratories within its jurisdiction, achieving hierarchical delegation of management authority and implementation of responsibilities. The core responsibilities of subordinate departments include: conveying the management requirements and work arrangements of the competent authority; formulating specific management rules for geological laboratories in their region and field; coordinating the allocation of experimental tasks among geological laboratories in various locations, optimizing resource allocation, and avoiding duplicate experiments and resource waste; reviewing experimental data and reports submitted by geological laboratories within their jurisdiction to ensure the authenticity, accuracy, and standardization of the data; being responsible for the daily management, training, and assessment of laboratory personnel, as well as the overall allocation and supervision of experimental instruments, reagents, and consumables; and promptly reporting problems and needs arising during laboratory operation to the competent authority, assisting the competent authority in completing the entire process of management and control.

[0025] The subordinate departments manage multiple geological laboratories, which serve as the data acquisition source and experimental execution entity for the entire platform system. These laboratories encompass various specialized geological laboratories, including rock and mineral testing laboratories, hydrogeological laboratories, engineering geology laboratories, and environmental geology laboratories. Each laboratory is equipped with complete experimental equipment, professional personnel, and standardized experimental procedures, undertaking specific tasks such as geological sample testing, experimental analysis, and data recording. Each geological laboratory connects to the platform system via terminal devices, accepting direct management from subordinate departments and indirect supervision from the competent authority. They conduct experiments according to unified standards and specifications, uploading various data during the experimental process in real time, including sample information, instrument parameters, experimental records, and test results. This ensures that all experimental data can be synchronized to the cloud deployment module in real time, providing a foundation for subsequent data association, sharing, and management. Simultaneously, each geological laboratory can initiate data sharing requests, report problems during the experimental process, and receive management instructions and guidance from the competent authority and subordinate departments through hierarchical access control terminals, achieving collaborative linkage with other laboratories and improving the efficiency and quality of geological experimental work.

[0026] The cloud deployment module achieves real-time acquisition of geological experimental data through a triple data acquisition channel, including a standardized API interface interface channel, an automatic upload and synchronization channel, and a manual input and verification channel. The standardized API interface interface channel is used to seamlessly connect with the existing experimental management system and instrument data acquisition system of various geological laboratories, and directly capture structured data such as raw sample detection data, instrument operating parameters, and experimental process records. The automatic upload synchronization channel allows laboratory personnel to upload unstructured data such as experimental reports, data tables, and image data in batches through the client, and the background program automatically completes the format conversion and data association. The manual data entry verification channel provides standardized data entry templates for non-standardized data in special scenarios, and sets up a dual-person verification mechanism to ensure the accuracy of the entered data. Geological experimental data covers core information throughout the entire process, specifically including: personnel-related data (basic information of experimental personnel, professional qualifications, operation training records, and job responsibility assignments); machine-related data (model of experimental instruments and equipment, factory parameters, calibration records, operational status monitoring data, and maintenance logs); material-related data (sample number, origin, lithological characteristics, storage location, and sample status transfer records); material-related data (reagent and consumable names, specifications, manufacturers, expiration dates, usage statistics, and remaining inventory); method-related data (experimental method standard numbers, operation procedure documents, data processing formulas, and quality control specifications); and environmental-related data (laboratory temperature and humidity change curves, environmental cleanliness level, air pressure data, and ventilation system operation status). Furthermore, a multi-dimensional data network is established based on geological experimental data: First, geological experimental data of different formats are uniformly converted into the platform's standard data format, and a unique identifier is added to each data point. The unique identifier contains key information such as laboratory identification, data type, and collection time. For geological experimental data from any geological laboratory, obtain the feature vector corresponding to the unique feature of each geological experimental data. Then, use the cosine similarity algorithm to calculate the correlation between the feature vectors of different geological experimental data. Set a correlation threshold, and associate and bind geological experimental data corresponding to unique feature of the correlation with a correlation greater than or equal to the correlation threshold. Do not associate and bind geological experimental data corresponding to unique feature of the correlation with a correlation less than the correlation threshold, thereby forming a data association chain. For example, the test data of a sample can be linked and bound with the corresponding experimental instrument parameters, operator information, and reagent and consumable usage records; Based on the IP addresses, geographic information, and user accounts of each geological laboratory, corresponding laboratory data sites are deployed on the SaaS cloud. Each laboratory data site is configured with an independent storage unit and data index. At the same time, a geographic topology relationship is established between the laboratory data sites. Then, based on the geographic topology relationship, the laboratory data sites are interconnected to form a multi-dimensional data network. Furthermore, based on the process of obtaining the correlation between the unique identifiers of each geological experimental data, the correlation between data association chains of adjacent spatially located laboratory data sites is obtained. That is, the correlation between the unique identifiers of the geological experimental data contained in each data association chain is obtained. Then, based on the relationship between the correlation degree and the correlation degree threshold, the geological experimental data contained in different data association chains are associated and bound.

[0027] Furthermore, multi-level data access permissions are set for the geological experimental data contained in each laboratory data site within the multi-dimensional data network. The multi-level data access permissions are divided into super administrator permissions, laboratory management permissions, business collaborator permissions, and consultation user permissions in descending order of permission level. The super administrator privileges have access to data across the entire platform, allowing them to view and export geological experimental data from all laboratory data sites. They also have system-level operation privileges such as system parameter configuration, permission allocation, and data site management. The laboratory management permissions allow full access to all data on the laboratory data site, the authority to initiate cross-laboratory data sharing requests, and the ability to manage access permission allocation for personnel within the laboratory and view the data sharing records of the laboratory. The business collaborators are only authorized to access shared data within the scope of their authorization. They can submit specific types of data sharing requests according to business needs, but they have no right to modify any data content. Their data access behavior is fully recorded. The user's access permissions are limited to publicly available geological experimental data on the platform (such as industry-standard experimental data and publicly available experimental results summaries), and they can only submit data sharing requests for consulting support purposes. They do not have permission to obtain unpublished core experimental data.

[0028] Furthermore, the sending end includes geological laboratory staff, business collaborators, consulting users, etc., and then the sending end sends a data sharing request to the central control module. The data sharing request includes key information such as request type (including consulting support, business entrustment, experimental result provision, progress tracking, geological information feedback, etc.), requirement description, expected response time, and required data range, and uploads identity verification credentials (such as account password, electronic signature, authorization document, etc.). After receiving the request, the central control module first verifies the authentication credentials and data access permission level of the sending end to confirm whether it is qualified to initiate a data sharing request. If the verification fails, it returns a message indicating insufficient data access permission to the sending end and records the request exception log; if the verification passes, it proceeds to the next processing step. The central control module obtains the physical address of the transmitter by combining the transmitter's IP address, device MAC address, and GPS positioning information. Then, it matches the physical address with the geographic topology in the multi-dimensional data network to determine the virtual mapping location of the transmitter in the data network. The virtual mapping location is associated with the corresponding laboratory data site (if the transmitter is a geological laboratory). Centered on the virtual mapping location of the sending end, a multi-layered access circle, resembling a water droplet ripple, is generated based on the request type and data access permissions of the data sharing request. The radius of the multi-layered access circle is dynamically adjusted according to the request type: the smallest radius is for consultation and support requests, covering only 3-5 related laboratory data sites in the vicinity; the medium radius is for business entrustment and experimental result provision requests, covering the laboratory data sites corresponding to all geological laboratories in the relevant professional fields within the region; and the largest radius is for progress tracking and geological information feedback requests, covering all laboratory data sites. The multiple access circle consists of several access circles. The spacing between adjacent access circles is set according to the data access permissions corresponding to the data sharing requirements. The spacing between adjacent access circles is used to achieve the sending interval. The shorter the spacing, the shorter the sending interval. Requests initiated by the super administrator correspond to the thinnest gap between multiple access circles and have the highest access priority. The laboratory data site must respond first. Requests initiated by the laboratory administrator have the next thinnest gap. Requests from business collaborators have the third thinnest gap. Requests from consulting users have the thickest gap. Simultaneously, several requirement feature words are generated based on the requirement description of data sharing needs. Requirement feature words are set on the edges of each access circle, and each access circle carries the same requirement feature words. It should be noted that the requirement feature words contain the same type of information as the unique feature words in the multi-dimensional data network. For example, consultation and support requests can be configured with keywords such as testing methods, data interpretation, and standard basis; business commission requests can be configured with keywords such as sample testing, experimental plans, and qualification certificates; and progress tracking requests can be configured with keywords such as experimental progress, phase results, and expected completion time. This allows laboratory data sites to quickly identify whether they have matching geological experimental data.

[0029] For further details, please refer to Figure 3As shown, after the multiple access circle is generated, starting from the virtual mapping position of the sending end, n access circles are sent to the laboratory data stations within the multiple access circle in a ripple diffusion manner, where n is a natural number greater than 5. The laboratory data station matches the demand feature words attached to the access circle with the data association chain. If it is determined that there is data content that matches the demand feature words, the laboratory data station determines the data permission level of the corresponding multi-access circle based on the received time interval between adjacent access circles. If the data access permission level is determined to be higher than or equal to the data access permission level of the data content, the laboratory data site will automatically extract matching data and perform preliminary processing to generate return data. At the same time, based on the corresponding data content, determine whether the other geological experimental data connected in the data association chain are in the laboratory data sites covered by the multi-access circle. If they are found to exist, the central control module adds the storage address of the corresponding other geological experimental data to the edge of the access circle. If they are not found to exist, they are not added. If the data permission level is deemed insufficient, the response is rejected, and a feedback message indicating permission mismatch is returned to the central control module.

[0030] Furthermore, during the process of each laboratory data station responding to the multiple access circle, the shared auxiliary monitoring module monitors the response status of each laboratory data station to the multiple access circle in real time, and the monitoring dimensions include response duration threshold and response integrity. The response time threshold is set according to the expected response time in the corresponding shared data request. If a laboratory data site fails to respond to the access circle beyond the response time threshold, the shared auxiliary monitoring module will automatically send a reminder notification to the administrator of the laboratory data site. Response integrity is determined by verifying the field integrity and file integrity of the returned data from each laboratory data station. If there are missing data, duplicate data, or corrupted files, a retransmission prompt is sent to the corresponding laboratory data station; otherwise, no prompt is sent. Before the laboratory data station sends the return data to the sending end, the shared auxiliary monitoring module establishes a data transmission channel between the corresponding laboratory data station and the sending end, and allocates the corresponding transmission bandwidth according to the spacing of the multiple access circles. The narrower the spacing (the higher the permission level), the larger the initial bandwidth allocated. For example, the super administrator requests a bandwidth of 10Mbps, the laboratory administrator requests 8Mbps, the business collaborator requests 5Mbps, and the consulting user requests 2Mbps. If it is determined that multiple laboratory data stations in the multi-access circle are sending return data to the sending end at the same time, the data transmission channels between the laboratory data stations and the sending end are connected according to the geographical topology relationship between the corresponding laboratory data stations and the sending end in the multi-dimensional data network. If it is determined that the spatial distance between the laboratory data station and the sending end is greater than that of the nearest laboratory data station with a data transmission channel, the data transmission channels of the two laboratory data stations are connected; otherwise, they are not connected. Meanwhile, the bandwidth is dynamically adjusted based on the real-time network conditions and data volume during the data transmission process between the returned data and the sending end. If the data volume is large (more than 100MB), the bandwidth is automatically increased by 1-2Mbps. If the network is congested, the bandwidth for non-urgent requests is appropriately reduced to ensure the transmission stability of high-priority requests.

[0031] Furthermore, for any access circle's returned data, the central control module matches the returned data from each laboratory data station with each other, removes duplicate parts based on the matching results, and then integrates the returned data to generate shared geological experimental data based on information such as the request type and requirement description in the data sharing request. The shared geological experimental data generated in different access circles corresponding to the same multi-access circle are matched with each other. If it is determined that the shared geological experimental data of each access circle is completely consistent, the central control module will send the shared geological experimental data to the sending end. If inconsistent data content exists, requirement feature words are generated based on the inconsistent data content, and multiple access circles are regenerated to obtain returned data from various laboratory data sites. The returned data is then replaced with inconsistent data content from various shared geological experimental data, and the consistency of the shared geological experimental data in each access circle is checked again. This process of checking whether the shared geological experimental data is completely consistent is repeated until the shared geological experimental data is completely consistent or the number of checks exceeds the preset tolerance threshold.

[0032] This invention relies on the cloud computing SaaS service model to build a unified digital SaaS cloud service platform system for geological laboratories. It enables unified supervision of various laboratories within the geological industry, while also allowing each laboratory to access and collaboratively manage all departments, locations, and business areas. It supports convenient access to the cloud system for laboratories within the same industry. The competent authorities can conduct real-time centralized and unified supervision of the standardized operation of technical activities such as business operations, quality control, and system maintenance of each laboratory according to multi-level data access permissions. Through centralized cloud deployment, it achieves data resource sharing and hierarchical access control for geological experiments, ensuring that different entities such as super administrators, laboratory managers, business collaborators, and consulting users can carry out data management and sharing under unified standards.

[0033] At the same time, focusing on the core business scenarios of geological laboratories, and taking data-driven management as the core approach, we cover all dimensions of work, including laboratory operation and service, production and operation, quality control, and quality system operation and maintenance. In terms of operation and service, we have built an online service system around the entire process of data sharing requests, realizing online process design from consultation and support, business entrustment, progress tracking, geological information feedback, and experimental results provision. This provides real-time services for different stakeholders and makes it easier for the laboratory to grasp the status of data sharing needs, thereby continuously improving service capabilities and levels.

[0034] In terms of production operation and quality control, experimental data information is associated and acquired in real time through a triple data acquisition channel. Based on the data association chain, experimental data is automatically integrated, results are automatically verified, traceable and tracked, and compliance is verified. Digital means are used to reduce repetitive labor, standardize and control experimental processes, and effectively supervise key elements such as personnel, machines, materials, methods and environment in experimental processes. While reducing costs and increasing efficiency, the accuracy, integrity and traceability of geological experimental data are ensured, thus building a solid quality defense line for the laboratory.

[0035] In terms of the operation and maintenance of the quality system, the management of key elements and quality activities in the laboratory, such as personnel, machines, materials, methods, and environment, is carried out in accordance with the requirements of qualification accreditation, competence recognition, and supervision and management of testing and inspection institutions. The data of each element are incorporated into a multi-dimensional data network for unified management, a rich experimental data information database and a full-process traceability mechanism are established, and the real-time monitoring function of the shared auxiliary supervision module is combined to achieve the standardization, effectiveness and timeliness of the management of system elements and procedures.

[0036] Furthermore, by integrating relevant data from the entire laboratory process, auxiliary business data such as sample management, personnel management, equipment operation and maintenance, and cost accounting are linked and bound with core experimental data, enabling one-stop overall control of geological experimental data. This promotes the transformation of geological laboratory management from the traditional manual mode to digitalization, standardization, and intelligence, providing efficient, accurate, and scalable management support for industry units and helping to improve the overall digital governance capabilities of the geological industry.

[0037] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A geological laboratory network management digitization SAAS cloud service platform system, characterized in that, It includes a control terminal, which is communicatively connected to a cloud deployment module, a central control module, and a shared auxiliary monitoring module; The control terminal includes a competent department and multiple subordinate departments. The competent department connects to the subordinate departments and performs full-process control. The subordinate departments include multiple geological laboratories. The cloud deployment module is used to acquire geological experimental data from various geological laboratories in real time, establish related data chains based on the geological experimental data, set multi-level data access permissions, set up laboratory data stations for each geological laboratory, and connect the laboratory data stations according to the geographical location of the geological laboratories to establish a multi-dimensional data network. The central control module is used to acquire data sharing requests, map the sending end of the data sharing request to a multi-dimensional data network, and then establish a multi-access circle based on the data sharing request with the sending end as the center. The returned data is obtained from various laboratory data stations through the multi-access circle, and then the returned data from various laboratory data stations is integrated to generate shared geological experimental data and sent to the sending end. The shared auxiliary monitoring module is used to monitor the response process of laboratory data sites to multiple access circles, and generate corresponding response prompts for laboratory data sites based on the monitoring results.

2. The geo-lab one-net unified management digital SAAS cloud service platform system according to claim 1, characterized in that, The subordinate departments are responsible for conveying the management requirements and work arrangements of the competent authorities, formulating specific management rules for the regional geological laboratories, and coordinating the allocation of experimental tasks among the geological laboratories in various regions. The geological laboratory, through the hierarchical access control of the terminal, initiates data sharing requests, reports problems during the experimental process, and receives control instructions and guidance from the competent authority and subordinate departments.

3. The geo-lab one-net unified management digital SAAS cloud service platform system according to claim 2, characterized in that, The cloud deployment module achieves real-time acquisition of geological experimental data through a triple data acquisition channel, including a standardized API interface interface channel, an automatic upload and synchronization channel, and a manual input and verification channel.

4. The geological laboratory unified management digital SaaS cloud service platform system according to claim 3, characterized in that, The process of establishing a multi-dimensional data network based on geological experimental data includes: First, geological experimental data in different formats were uniformly converted into the platform's standard data format, and a unique identifier was added to each data point. For any geological laboratory's geological experimental data, obtain the feature vector corresponding to the unique feature of each geological experimental data, obtain the correlation degree between the feature vectors of different geological experimental data, set a correlation degree threshold, and associate and bind the geological experimental data corresponding to the unique feature with a correlation degree greater than or equal to the correlation degree threshold, while not associating and binding the geological experimental data corresponding to the unique feature with a correlation degree less than the correlation degree threshold, thereby forming a data association chain. Based on the IP addresses, geographic information, and user accounts of each geological laboratory, corresponding laboratory data sites are deployed on the SaaS cloud. Each laboratory data site is configured with an independent storage unit and data index. At the same time, a geographic topology relationship is established between the laboratory data sites. Then, based on the geographic topology relationship, the laboratory data sites are interconnected to obtain a multi-dimensional data network. Furthermore, based on the process of obtaining the correlation between the unique features of each geological experimental data, the correlation between data association chains of adjacent spatially located laboratory data sites is obtained. According to the relationship between the correlation degree and the correlation degree threshold, the geological experimental data contained in different data association chains are associated and bound.

5. The geological laboratory unified management digital SaaS cloud service platform system according to claim 4, characterized in that, The process of setting up the multi-level data access permissions includes: Multi-level data access permissions are set for the geological experimental data contained in each laboratory data site within the multi-dimensional data network. The multi-level data access permissions are divided into super administrator permissions, laboratory management permissions, business collaborator permissions, and consultation user permissions in descending order of permission level.

6. The geological laboratory unified management digital SaaS cloud service platform system according to claim 5, characterized in that, The process of mapping the sender of a data sharing request to a multi-dimensional data network includes: The data sharing request includes the request type, requirement description, expected response time, and required data range, and also requires the upload of identity verification credentials. First, the authentication credentials and data access permission level of the sending end are verified to confirm whether it is qualified to initiate a data sharing request. If the verification fails, a message indicating insufficient data access permission is returned to the sending end, and a request exception log is recorded. If the verification passes, the process proceeds to the next step. The central control module obtains the physical address of the transmitter by combining the transmitter's IP address, device MAC address, and GPS positioning information. Then, it matches the physical address with the geographical topology in the multi-dimensional data network to determine the virtual mapping location of the transmitter in the data network. The virtual mapping location is associated with the corresponding laboratory data site.

7. The geological laboratory unified management digital SaaS cloud service platform system according to claim 6, characterized in that, The process of establishing a multi-access circle based on a data sharing request includes: Using the virtual mapping position of the sending end as the center, multiple access circles are generated according to the request type and data access permissions of the data sharing request. The radius of the multiple access circles is dynamically adjusted according to the request type. The multiple access circles consist of several access circles. The spacing between adjacent access circles is set according to the data access permissions corresponding to the data sharing requirements. The spacing between adjacent access circles is used to achieve the sending interval. The shorter the spacing, the shorter the sending interval. At the same time, several requirement feature words are generated based on the requirement description of data sharing needs, and requirement feature words are set on the edges of each access circle, with each access circle having the same requirement feature words.

8. The geological laboratory unified management digital SaaS cloud service platform system according to claim 7, characterized in that, The process of retrieving returned data from various laboratory data sites through multiple access loops includes: After the multiple access circles are generated, starting from the virtual mapping position of the sending end, n access circles are sent to the laboratory data stations within the multiple access circles using a ripple diffusion method, where n is a natural number greater than 5. The laboratory data station matches the demand feature words attached to the access circle with the data association chain. If it is determined that there is data content that matches the demand feature words, the laboratory data station determines the data permission level of the corresponding multi-access circle based on the received time interval between adjacent access circles. If the data access permission level is determined to be higher than or equal to the data access permission level of the data content, the laboratory data site will automatically extract matching data and perform preliminary processing to generate return data. At the same time, based on the corresponding data content, determine whether the other geological experimental data connected in the data association chain are in the laboratory data sites covered by the multi-access circle. If they are found to exist, the central control module adds the storage address of the corresponding other geological experimental data to the edge of the access circle. If they are not found to exist, they are not added. If the data permission level is deemed insufficient, the response is rejected, and a feedback message indicating permission mismatch is returned to the central control module.

9. The geological laboratory unified management digital SaaS cloud service platform system according to claim 8, characterized in that, The process of monitoring the response of laboratory data sites to multiple access circles includes: During the process of each laboratory data station responding to the multiple access circle, the shared auxiliary monitoring module monitors the response status of each laboratory data station to the multiple access circle in real time, and generates corresponding response prompts based on the monitoring results. The monitoring dimensions include response duration threshold and response integrity. Before the laboratory data station sends the return data to the sending end, a data transmission channel is established between the corresponding laboratory data station and the sending end. At the same time, the bandwidth is dynamically adjusted according to the real-time network conditions and data volume during the data transmission process between the return data and the sending end.

10. The geological laboratory unified management digital SaaS cloud service platform system according to claim 9, characterized in that, The process of integrating data returned from various laboratory data sites to generate shared geological experimental data and sending it to the sending end includes: For any access circle's returned data, the central control module matches the returned data from each laboratory data station with each other, removes duplicate parts based on the matching results, and then integrates the returned data to generate shared geological experimental data based on information such as the request type and requirement description in the data sharing request. The shared geological experimental data generated in different access circles corresponding to the same multi-access circle are matched with each other. If it is determined that the shared geological experimental data of each access circle is completely consistent, the central control module will send the shared geological experimental data to the sending end. If inconsistent data content exists, requirement feature words are generated based on the inconsistent data content, and multiple access circles are regenerated to obtain returned data from various laboratory data sites. The inconsistent data content in each shared geological experimental data is replaced by the returned data, and the shared geological experimental data of each access circle is judged again to see if they are completely consistent. The process of judging whether the shared geological experimental data are completely consistent is repeated until the shared geological experimental data are completely consistent or the number of judgments exceeds the preset tolerance threshold.

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