Sampling information management system for intelligent environment monitoring

Abstract

The invention is suitable for the field of environment monitoring, and provides a sampling information management system for intelligent environment monitoring, which comprises a user authority management and control module for realizing multi-level authority management based on an RBAC (Role Based Access Control) model; the equipment full life cycle management module monitors the equipment state in real time through the Internet of Things and carries out early warning calibration; the standard dynamic adaptation module intelligently associates a standard with a sampling scene, and synchronously authorizes updating; the sampling closed-loop management module supports double-end cooperation, offline operation and block chain evidence storage; the data interaction and analysis module integrates the data and intelligently predicts the data; the auditing and tracing module records whole-process operation and gives an early warning for abnormity; and the multi-terminal collaborative interaction module is adapted to multiple systems. The monitoring efficiency and the data quality are improved, and support is provided for environmental protection decision making.

Description

TECHNICAL FIELD

[0001] The application belongs to the field of environmental monitoring, and particularly relates to a sampling information management system for intelligent environmental monitoring. BACKGROUND

[0002] In the environmental monitoring work, sampling information management is a key link to ensure the accuracy and reliability of data. However, the traditional management mode has many disadvantages:

[0003] Information is scattered and chaotic, and personnel, equipment, and standard information is scattered in paper documents and independent systems, lacking centralized management, which leads to difficulties in information query and update, and easy occurrence of data conflicts and omissions, for example, it is difficult for sampling personnel to quickly obtain the latest status of equipment and effective standards;

[0004] Equipment management is inefficient, and there is a lack of standard procedures for equipment storage and use, relying on manual records, which easily causes unclear equipment inventory and chaotic use, and it is difficult to track the calibration period, which further affects the quality of sampling data, for example, equipment used beyond the calibration period will cause inaccurate sampling results;

[0005] Standard application lags behind, and sampling standards rely on manual searching and memory, making it difficult to update in real time, and standard matching is prone to errors in different sampling scenarios, such as selecting soil sampling standards for water quality sampling, which reduces the standardization of monitoring data;

[0006] Sampling records are not standardized, and sampling records rely on paper or simple electronic spreadsheets, with random formats, and key information (such as sampling location and standard basis) is easily missing, and mobile and computer data synchronization is slow, and audit lags behind, affecting work efficiency and data quality;

[0007] Therefore, a sampling information management system for intelligent environmental monitoring is needed to solve the above problems. SUMMARY

[0008] The purpose of the embodiments of the present application is to provide a sampling information management system for intelligent environmental monitoring to solve the problems raised in the background art.

[0009] To achieve the above purpose, the present application provides the following technical scheme:

[0010] The sampling information management system for intelligent environmental monitoring comprises:

[0011] A user permission control module maintains personnel basic information, performs multi-level permission distribution based on an RBAC model, establishes a permission mapping relationship with all function modules in the system, performs real-time permission control on module operations through a permission verification interface, and prevents unauthorized access;

[0012] The device full life cycle management module includes a device information library, a dynamic management unit of a ledger, an Internet of Things communication sub-module, and a calibration warning sub-module. The device information library enters device-related information and is linked with a user permission control module, and only authorized device administrators can edit. The dynamic management unit of the ledger is associated with the device information library, and the number and distribution of devices are maintained in real time. The data interaction bus is connected with the sampling record module to provide a list of available devices for the sampling end. The Internet of Things communication sub-module establishes a long connection with the monitoring device through the MQTT protocol, collects device operation state data in real time, and pushes the data to the device information library for updating. The calibration warning sub-module reads the device calibration period, calculates the next calibration time, triggers a calibration reminder 7 days in advance, and automatically updates the device state after calibration is completed.

[0013] The standard dynamic adaptation module includes a standard database, an intelligent association engine, and a standard update crawler. The standard database stores related information according to environmental media and standard types, and is associated with the device full life cycle management module to provide a standard basis for device calibration. The intelligent association engine dynamically associates standard clauses with material information and sampling scene through a semantic analysis algorithm. When the sampling record module is called, it automatically matches a standard set with a similarity of ≥90%. The standard update crawler regularly captures standard change announcements from authoritative platforms, triggers standard database updates, generates version comparison logs, and pushes them to standard administrator terminals for confirmation of effectiveness.

[0014] The sampling closed-loop management module includes a computer management background, a mobile terminal operation APP, a data verification sub-module, and a blockchain storage interface. The computer management background provides sampling task creation, template configuration, and historical data query functions. The mobile terminal operation APP obtains the sampling location latitude and longitude through GPS+Beidou dual-mode positioning, compares it with historical sampling points, supports offline sampling information entry, and automatically synchronizes after network recovery. The data verification sub-module performs seven core verifications when the sampling record is submitted. If the verification fails, the submission is intercepted and a prompt is given. The blockchain storage interface stores the hash value on the chain after the sampling record is approved, generates an unalterable storage number, and is associated with the sampling record details.

[0015] The data interaction and analysis module includes a data center, a real-time synchronization engine, and an intelligent analysis sub-module. The data center integrates module data through an ETL tool, constructs a unified data model, and provides standardized data interfaces. The real-time synchronization engine is based on the WebSocket protocol and ensures bidirectional real-time synchronization of mobile terminal APP and computer terminal background data, supporting breakpoint continuation. The intelligent analysis sub-module uses machine learning algorithms to perform real-time anomaly identification and trend prediction on sampling data, and generates analysis reports to push to management terminals.

[0016] Audit traceability module, record the whole system operation log, correlation block chain storage interface, generate operation audit chain; Support by personnel, time, operation type filtering log, export compliance audit report, trigger abnormal operation, automatic locking operation account and push to the super administrator;

[0017] Multi-terminal collaborative interaction module, adapt to Windows, Android, iOS multi-terminal system, realize interface self-adaptation through responsive design; Computer management background supports large screen data board, mobile terminal operation APP supports offline map annotation sampling point, voice input sampling information, and operation record of both ends is synchronized to audit traceability module in real time.

[0018] Further technical solutions, the Internet of Things communication submodule of the device full life cycle management module supports simultaneous access to ≥100 devices, detects device online state through heartbeat packet mechanism, triggers device exception alarm when abnormally offline, pushes to device administrator and sampling personnel terminal, and forcibly locks the sampling task use permission of the device.

[0019] Further technical solutions, the intelligent correlation engine of the standard dynamic adaptation module adopts BERT semantic pre-training model, performs word segmentation and vectorization processing on standard text, constructs standard knowledge graph, and improves correlation accuracy to 95%. When the sampling record module is called, the standard list is displayed in descending order according to the matching degree, and the key difference clauses are marked.

[0020] Further technical solutions, the data verification submodule of the sampling closed-loop management module, in addition to the core seven verification, correlates the Internet of Things data of the device full life cycle management module, verifies the real-time state of the sampling device, and forcibly marks “device low power” in low power state to remind the sampling personnel to replace the device.

[0021] Further technical solutions, the intelligent analysis submodule of the data interaction and analysis module, built-in environmental factor prediction model, input historical sampling data and meteorological data, predict the future 7-day pollution factor change trend, generate visual prediction curve, and push to the environmental management personnel terminal.

[0022] Further technical solutions, the operation log of the audit traceability module, correlation block chain storage interface generates Merkle tree, any operation modification triggers tree structure change, and operation history can be traced through the block chain browser.

[0023] Further technical solutions, the mobile terminal operation APP of the multi-terminal collaborative interaction module supports offline caching of ≥100 sampling task data, automatically initiates data synchronization after network recovery, triggers manual intervention process when synchronization fails, notifies the administrator through email / sms, and ensures that the sampling data is not lost.

[0024] Compared with the prior art, the present application has the beneficial effects that:

[0025] The present application solves the problem of information dispersion, the basic information maintenance module centrally manages personnel, materials and measurement data, the authority management ensures data security, each module calls data as needed, realizes information sharing, compared with traditional management, the information query time is shortened by 80%, the data consistency is improved to 99%, the information island is eliminated, and the personnel at each link can quickly obtain accurate basic information;

[0026] The present application standardizes the equipment management process, and the equipment management module controls the equipment in the whole process from information input, account maintenance to warehouse approval; the work flow approval ensures the quality of equipment storage, the equipment account updates the state in real time, so that the equipment use, calibration and maintenance are traceable, the idle rate of equipment is reduced by 30%, the calibration omission rate is reduced to 0, the equipment management efficiency and reliability are improved, and qualified equipment is ensured for sampling work;

[0027] The present application ensures the uniformity of standard application, the standard management module realizes intelligent association, automatic update and accurate push, so that the sampling personnel can quickly obtain the adapted standard, the standard update rate reaches 100%, the standard application error rate is reduced by 90%, the sampling work strictly follows the standard, the standardization and comparability of monitoring data are ensured, and reliable data basis is provided for environmental quality evaluation;

[0028] The present application improves the sampling record quality, the standardization template, intelligent checking and double-end synchronization function of the sampling record module, the record format is standardized, the key information is ensured to be complete, the mobile terminal offline operation is adapted to the complex sampling environment, the data synchronization rate reaches 98%, the audit cycle is shortened by 50%, the sampling record quality and work efficiency are improved, and a solid foundation is laid for subsequent data application;

[0029] The present application ensures reliable data interaction, the real-time synchronization, cache transmission and hash check technology of the data interaction module ensure stable transmission of data under different network environments, the data transmission success rate reaches 99.9%, the data integrity reaches 100%, and the data at both ends is consistent, which provides reliable data support for real-time audit and data analysis of sampling records;

[0030] The present application strengthens the permission control and audit traceability, the user permission control module realizes multi-level permission distribution based on the RBAC model, effectively prevents unauthorized access, and ensures the safety of system operation; the audit traceability module records the operation log of the whole system, and is connected with the block chain storage interface to generate an operation audit chain that cannot be tampered with, meets the requirements of environmental supervision and CMA certification supervision, ensures the compliance of system operation and the credibility of data;

[0031] This invention enables multi-terminal collaboration and intelligent analysis: the multi-terminal collaborative interaction module adapts to multiple terminal systems, achieving interface self-adaptation through responsive design; the large-screen data dashboard in the computer management backend and the offline function of the mobile operation APP ensure seamless cross-terminal collaboration; the intelligent analysis sub-module of the data interaction and analysis module uses machine learning algorithms to perform real-time anomaly identification and trend prediction on sampled data, providing data support for environmental management departments to formulate governance plans, demonstrating the data application value of the system.

[0032] To more clearly illustrate the structural features and effects of the present invention, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. Attached Figure Description

[0033] Figure 1 This is a system module architecture diagram of the present invention;

[0034] Figure 2 This is a flowchart of the equipment management process of the present invention;

[0035] Figure 3 This is a schematic diagram illustrating the standard management association of this invention;

[0036] Figure 4 This is a diagram showing the interaction between the two ends of the sampling record in this invention.

[0037] Figure 5 This is a flowchart illustrating the data interaction and analysis process of this invention.

[0038] Figure 6 This is a flowchart of the audit traceability process for this invention. Detailed Implementation

[0039] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0040] The specific implementation of the present invention will be described in detail below with reference to specific embodiments.

[0041] Example 1

[0042] like Figures 1-6 As shown, this embodiment of the invention provides an application of a smart environmental monitoring sampling information management system in the scenario of equipment warehousing and standard association, including a user permission control module, an equipment lifecycle management module, a standard dynamic adaptation module, a sampling closed-loop management module, a data interaction and analysis module, an audit traceability module, and a multi-terminal collaborative interaction module.

[0043] In this embodiment, the user authority management module first allocates authorities to the device administrator and the standard administrator. The device administrator obtains the editing authority of the device management module, and the standard administrator obtains the maintenance authority of the standard management module. The device administrator enters the model (SZ-2025), the manufacturer (XX environmental protection equipment company), and the technical parameter (sampling flow 0-10L / min, applicable water quality type) information of the newly purchased "intelligent water quality sampler" in the device information library of the device full life cycle management module, and uploads the calibration certificate scan. This operation is ensured to be executed only by authorized personnel through the authority verification interface, so as to ensure the security of information input. Then, the account dynamic management unit creates the account of the sampler, enters the purchase quantity of 5 units and distributes them to the "central laboratory warehouse", associates the warehouse management system to determine the distribution position, and at the same time connects with the sampling record module through the data interaction bus to provide the available equipment list for the sampling end, filters out the to-be-calibrated and faulty equipment, and ensures that the sampling end uses compliant equipment. The Internet of Things communication sub-module establishes a long connection with the sampler through the MQTT protocol, collects real-time running state data and pushes them to the device information library for updating, so that the administrator can master the device condition in real time. The calibration early warning sub-module reads the calibration period of the associated standard management module, calculates the next calibration time, and pushes a reminder to the device administrator terminal 7 days in advance to ensure that the device is calibrated on time, and the state is automatically updated after calibration, improving the reliability of device management.

[0044] Specifically, the standard administrator enters "HJ91-2002 Groundwater and Sewage Monitoring Technical Specification" in the standard database of the standard dynamic adaptation module according to the environmental medium and the standard type, including standard number, applicable scope, technical requirements, and effective time.

[0045] In this embodiment, the intelligent association engine adopts a BERT semantic pre-training model to perform word segmentation and vectorization processing on the standard text, constructs a standard knowledge graph, dynamically associates the standard with the material information (such as the material of the sampling bottle) required for surface water sampling and the sampling scene, and the association accuracy reaches 95%. When the sampler selects "surface water sampling" in the mobile terminal operation APP, the system automatically pushes a related standard set including the standard according to the descending order of matching degree, labels the key difference clauses, facilitates the sampler to quickly select the adaptive standard, makes the sampling work conform to the specification, and reduces the standard application error rate; the standard update crawler regularly crawls the standard change announcements on the official website of the Ministry of Ecology and Environment. If the standard is updated, the standard database is updated, a version comparison log is generated and pushed to the standard administrator terminal for confirmation of validity, and the timeliness of the standard is ensured.

[0046] Specifically, when the sampler carries out surface water sampling in the mobile terminal operation APP, the associated device and standard information are called.

[0047] In this embodiment, the mobile terminal operation APP obtains the sampling position latitude and longitude (error ≤5 meters) through GPS+Beidou dual-mode positioning, compares with the historical sampling points, and triggers a repeated sampling warning if the distance is <100 meters to avoid repeated work; the sampling personnel offline enter the sampling information (standard selection, device association, sample description), and after the network is restored, the real-time synchronization engine automatically synchronizes to the computer terminal management background based on the WebSocket protocol, with a delay ≤1 second, and supports breakpoint resume to ensure data is not lost; the data verification submodule performs seven core verifications when submitting the sampling record, such as checking whether the standard association is complete and the device is compliant, and if the verification fails, the submission is intercepted and prompted to ensure that the sampling data is standardized; after the audit is passed, the blockchain storage interface uploads the hash value to the chain for storage, generates an unalterable storage number, and is associated to the sampling record details to ensure data traceability.

[0048] Specifically, the intelligent analysis submodule of the data interaction and analysis module processes the sampling data.

[0049] In this embodiment, the intelligent analysis submodule uses the Isolation Forest anomaly detection algorithm to compare the sampling data with the historical data of the same period and the same region, and triggers a warning if the deviation is more than 3σ to discover abnormal data in time; at the same time, based on the environmental factor prediction model of the LSTM neural network, the historical sampling data and associated third-party meteorological data are input to predict the change trend of the pollution factor in the next 7 days, generate a visual curve and push it to the management terminal to provide data support for environmental management; the audit traceability module records the operation logs in the whole process (such as device input, standard association, and sampling record submission), generates a Merkle tree associated with the blockchain storage interface, and can trace the operation history through the blockchain browser; if there is an abnormal operation (such as unauthorized modification of standards), the operation account is automatically locked and pushed to the super administrator to ensure system operation compliance.

[0050] Embodiment 2

[0051] The difference between this embodiment and embodiment 1 is that the application scenario is sampling record and audit in a complex environment, and more emphasis is placed on mobile terminal offline operation and data synchronization, audit process, and the function of the data interaction and analysis module in data verification and statistical analysis is more prominent.

[0052] The embodiment of the application provides a sampling information management system for intelligent environmental monitoring, the mobile terminal operation APP of the multi-terminal collaborative interaction module supports offline caching of ≥100 sampling task data, the real-time synchronization engine of the data interaction and analysis module enables data caching and breakpoint resume mechanism in weak network or no network environment, and the data verification submodule verifies the real-time state (such as power) of the device in addition to the seven core verifications.

[0053] In this embodiment, the sampler carries out water quality sampling in a remote mountainous area without a network environment, opens the sampling closed-loop management module of the mobile terminal operation APP, and selects the "field water quality sampling" template; due to offline, the system calls the commonly used standard (such as HJ898-2017 Water Quality Sampling Technology Guide) cached locally, the sampler selects the standard; select the "SZ-2025 intelligent water quality sampler" that has been taken and the state is "in use", the data verification submodule is associated with the equipment Internet of Things data at this time, checks the equipment power, and if the power is normal, it allows to continue to operate; the sampler enters the sample information, clicks the positioning button, obtains the latitude and longitude (error 3 meters) through GPS+Beidou dual-mode positioning and saves, completes the record and temporarily stores, and the data is cached locally; after reaching the network area, the system automatically initiates data synchronization, the real-time synchronization engine transmits the data to the computer terminal management background based on the WebSocket protocol, if the synchronization fails, the manual intervention process is triggered, the administrator is notified through email / sms, and the data is ensured not to be lost; the auditor checks the synchronized sampling record on the computer terminal, the data verification submodule performs seven core verifications and equipment state verification, confirms that there is no error, and passes the audit, and the record is chained and stored; if the sampling flow setting is found to be wrong, it is returned to the mobile terminal for modification and resubmission, forming a closed-loop management; the data interaction and analysis module periodically summarizes the sampling records, and generates "field water quality monitoring report" according to the monitoring area and time statistics data, and automatically marks the exceeding data according to the standard limit value, providing a basis for environmental analysis.

[0054] The working principle and use process of the application are as follows:

[0055] In a conventional environmental monitoring sampling scene, the conventional environmental monitoring sampling scene includes a task preparation stage, a field sampling stage and a background management stage;

[0056] The task preparation stage includes personnel and permission configuration, device management and standard association;

[0057] Personnel and permission configuration: the administrator enters the sampler basic information (name, post) through the user permission control module, assigns the mobile terminal operation permission to the sampler according to the RBAC model, limits it to only access the sampling record module and associated functions, at the same time, opens the device management module editing permission for the device administrator, opens the standard management module maintenance permission for the standard administrator, builds a clear permission control system, and ensures the safety of system operation;

[0058] Device management: the device administrator completes the information input (category, model, parameter) of the sampling device (such as water quality sampler) in the device whole life cycle management module, establishes the connection with the device through the Internet of Things communication submodule, and performs the warehousing and calibration operation; the calibration warning submodule calculates and marks the "in use" state of the device according to the compliance calibration period associated in the standard management module, synchronizes to the device account dynamic management unit, and ensures that the sampling end can call the compliant device;

[0059] Standard association: The standard administrator uses the standard dynamic adaptation module to analyze the material attributes (such as the material of the sampling bottle, the use) and the standard clause semantics through the intelligent association engine, associates the sampling bottle with the water quality preservation standard (such as HJ493-2009), generates the association relationship and stores it in the standard database, provides the standard basis for the sampling process, and at the same time, the standard update crawler regularly crawls the standard changes of the authoritative platform to ensure the timeliness of the standard;

[0060] The on-site sampling stage includes task template and resource calling and sampling data collection and verification.

[0061] Task template and resource calling: the sampler logs in the mobile terminal job APP, and the sampling closed-loop management module pushes the "regular water quality monitoring" template according to the task type; the data interaction and analysis module based on the WebSocket protocol obtains the device list that has been enabled and is not over the calibration period from the equipment whole life cycle management module through the real-time synchronization engine, and pulls the water quality preservation standard associated with the sampling bottle from the standard dynamic adaptation module, to realize the precise matching of the equipment, standard resources and sampling task;

[0062] Sampling data collection and verification: the sampler arrives at the monitoring point, and the mobile terminal job APP obtains the latitude and longitude through GPS+Beidou dual-mode positioning, and compares it with the historical sampling point data of the standard dynamic adaptation module (distance <100 meters triggers repeated sampling warning); when entering the sampling information, the data verification submodule performs seven core verifications: verification of standard association integrity (to ensure that the associated standard meets the scene), equipment compliance (to filter out devices to be calibrated / faulty devices), location information validity (to exclude invalid positioning), sample information mandatory items (to ensure data integrity), measurement unit matching degree (to associate the measurement unit of the basic information maintenance module), time logic rationality (such as sampling time within the task period), and personnel permission compliance (secondary verification of operation permission), while associating the equipment whole life cycle management module Internet of Things data to verify the real-time state of the equipment (such as marking "low battery" when the battery is lower than 20%), and multi-dimensionally guaranteeing the sampling data quality, and after passing the verification, the data can be temporarily stored (cached locally) or submitted (synchronized to the computer terminal through an encrypted channel), and when the network is interrupted, the offline cache is triggered, and after recovery, the data is synchronized through breakpoint resume;

[0063] The backstage management stage includes data auditing, equipment and standard tracking, and data analysis and application.

[0064] Data auditing: the auditor in the computer terminal management background obtains the synchronized sampling records through the sampling closed-loop management module, and carries out auditing according to the standard clauses in the standard dynamic adaptation module, focuses on verifying the sampling process, data integrity and compliance, and the auditing results are fed back to the data interaction and analysis module to lay a foundation for data application;

[0065] Device and standard tracking: The device full life cycle management module automatically updates the device usage status (such as usage time and frequency), the calibration warning sub-module recalculates the next calibration time and pushes the reminder; the standard dynamic adaptation module updates the standard associated use log, and the intelligent association engine optimizes the association rules; the audit traceability module records the sampler's operation (login, template selection, data submission), the auditor's operation trajectory, generates a Merkle tree for storage, ensures that the operation is traceable, and when abnormal operation (such as unauthorized modification of standards) is triggered, the account is automatically locked and the super administrator is pushed;

[0066] Data analysis and application: The intelligent analysis sub-module of the data interaction and analysis module uses the Isolation Forest anomaly detection algorithm to identify and warn abnormal values deviating by more than 3σ compared to historical same-period and same-region sampling data; the environmental factor prediction model based on LSTM neural network integrates meteorological data (associated with third-party API) to predict the trend of pollution factor changes in the next 7 days, generate a visual curve and analysis report, and push it to the environmental management personnel terminal to assist in scientific decision-making;

[0067] In the emergency monitoring scene of sudden water pollution events, the emergency monitoring scene of sudden water pollution events includes an emergency start phase, an emergency sampling phase, and an emergency disposal phase; the emergency start phase includes emergency allocation of permissions and resources;

[0068] Emergency allocation of permissions and resources: The administrator quickly opens the mobile sampling permission for the temporary sampler through the user permission control module, and limits high-risk operations. The device full life cycle management module enables a simplified workflow to quickly approve the portable water quality sampler for export, and the Internet of Things communication sub-module marks the device as "emergency in use"; the standard dynamic adaptation module prioritizes the association of emergency monitoring standards (such as HJ700-2014) and emergency supplies through the intelligent association engine to ensure that emergency sampling resources are quickly available;

[0069] The emergency sampling phase includes rapid sampling and data synchronization;

[0070] Rapid sampling and data synchronization: The temporary sampler logs in to the mobile terminal operation APP, and the system automatically pushes a simplified sampling template based on the emergency task, and the data interaction module quickly synchronizes available emergency devices and matching standards; the sampler samples at multiple points in the pollution area, records pollution characteristics (color, odor), and temporarily stores key information for subsequent filling due to emergency situations; the data interaction module synchronizes the cached sampling data to the computer terminal through the breakpoint resume mechanism after network recovery, and the audit traceability module records the operation trajectory in real time to ensure that emergency data is traceable;

[0071] The emergency disposal phase includes data priority review and device tracking;

[0072] Data priority review and equipment tracking: the reviewer reviews the emergency sampling record in the computer management background in priority, quickly judges the pollution index according to the standard dynamic adaptation module, and the equipment full life cycle management module tracks the state of the emergency equipment after use, triggers the calibration and cleaning reminder process, the standard management module updates the emergency standard use log, provides experience reference for subsequent emergency monitoring, and the intelligent analysis submodule of the data interaction and analysis module processes emergency data in urgency, identifies abnormal pollution factors, predicts diffusion trend, assists emergency decision-making, and the audit traceability module focuses on monitoring the operation of the emergency process to ensure compliance;

[0073] In the multi-end collaborative and audit traceability scene, the multi-end collaborative and audit traceability scene includes multi-end collaborative interaction and audit traceability and compliance management;

[0074] In multi-end collaborative interaction, the computer management background displays the large screen data board (device state, sampling progress, abnormal warning visual information) through the multi-end collaborative interaction module, supports administrator global control; the mobile terminal operation APP adapts to Android and iOS systems, supports offline map labeling sampling points and voice input sampling information, and the operation records of the two ends are synchronized in real time through the audit traceability module, which guarantees operation consistency, such as the mobile terminal submission record of the sampler, which can be immediately viewed by the computer terminal reviewer, realizing seamless cross-end collaboration

[0075] In audit traceability and compliance management, the audit traceability module records system operation logs (personnel login, module operation, data modification) throughout the process, associates the block chain storage interface to generate a Merkle tree, triggers tree structure changes for any operation modification, and the operation history can be traced through the block chain browser; when triggering abnormal operation (such as illegal modification of standards, forced out-of-stock fault equipment), the operation account is automatically locked and the super administrator is pushed, a compliance audit report is generated, meeting the environmental supervision, CMA certification supervision requirements, and ensuring system operation compliance and data credibility;

[0076] In summary, the system surrounds the whole process of environmental monitoring sampling, cooperates with various modules, realizes precise control of personnel authority, intelligent management of equipment full life cycle, dynamic adaptation and precise application of standards, high-quality collection and review of sampling data, rapid response to emergency scenes, and multi-end collaboration and operation traceability, and builds a smart and standardized sampling information management system, providing strong support for environmental monitoring work.

[0077] The above only describes the preferred embodiments of the present application and does not limit the present application. Any modification, equivalent replacement and improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A sampling information management system for smart environment monitoring, characterized by, Comprise: User authority control module, maintenance personnel basic information, multi-level authority distribution based on RBAC model, establish authority mapping relationship with all function modules in the system, real-time authority control of module operation through authority check interface, prevent unauthorized access; Equipment full life cycle management module, including equipment information library, account dynamic management unit, Internet of Things communication sub-module, calibration warning sub-module; equipment information library enters equipment related information, linked with user authority control module, only authorized equipment administrator can edit; account dynamic management unit is associated with equipment information library, real-time maintenance of equipment quantity and distribution position, connected with sampling record module through data interaction bus, providing available equipment list for sampling end; Internet of Things communication sub-module establishes long connection with monitoring equipment through MQTT protocol, real-time collection of equipment running state data and pushing to equipment information library for updating; Calibration warning sub-module reads equipment calibration period, calculates next calibration time, triggers calibration reminder 7 days in advance, and automatically updates equipment state after calibration; Standard dynamic adaptation module, including standard database, intelligent association engine and standard update crawler; standard database stores related information according to environmental medium and standard type, associated with equipment full life cycle management module, provides standard basis for equipment calibration; intelligent association engine dynamically associates standard clauses with material information and sampling scene through semantic analysis algorithm, automatically matches standard set with similarity≥90% when sampling record module is called; standard update crawler regularly crawls standard change announcement of authoritative platform, triggers standard database update, generates version comparison log and pushes to standard administrator terminal for confirmation of validity; Sampling closed loop management module, including computer management background, mobile terminal operation APP, data verification sub-module and block chain storage interface; Computer management background provides sampling task creation, template configuration and historical data query functions; mobile terminal operation APP obtains sampling position latitude and longitude through GPS+Beidou dual-mode positioning, compares with historical sampling points, supports offline sampling information input, and automatically synchronizes after network recovery; Data verification sub-module performs seven core verifications when sampling record is submitted, intercepts submission and prompts if verification fails; Block chain storage interface stores the hash value on the chain after the sampling record is approved, generates an unalterable storage number, and is associated with the sampling record details; Data interaction and analysis module, including data center, real-time synchronization engine and intelligent analysis sub-module; data center integrates module data through ETL tool, builds unified data model, and provides standardized data interface; real-time synchronization engine is based on WebSocket protocol, which ensures the real-time synchronization of mobile terminal APP and computer terminal background data, and supports breakpoint resume; Intelligent analysis sub-module uses machine learning algorithm to identify real-time exceptions and predict trends, and generates analysis report and pushes to management terminal; Audit traceability module, record system operation log, associated with blockchain storage interface, generate operation audit chain; Support filtering log by personnel, time, operation type, export compliance audit report, trigger abnormal operation, automatically lock operation account and push to super administrator; Multi-terminal collaborative interaction module, adaptive to Windows, Android, iOS multi-terminal system, through responsive design to realize interface self-adaptation; Computer management background supports large screen data board, mobile terminal operation APP supports offline map annotation sampling point, voice input sampling information, two end operation record real-time synchronization to audit traceability module.

2. The sampling information management system for smart environment monitoring according to claim 1, wherein, The Internet of Things communication submodule of the device full life cycle management module supports simultaneous access to ≥100 devices, detects device online status through heartbeat packet mechanism, triggers device exception alarm when abnormally offline, pushes to device administrator and sampling personnel terminal, and forcibly locks the sampling task use permission of the device. 3.The smart environment monitoring sampling information management system of claim 1, wherein, The intelligent association engine of the standard dynamic adaptation module uses BERT semantic pre-training model to perform word segmentation and vectorization processing on standard text, constructs standard knowledge graph, and improves association accuracy to 95%. When calling the sampling record module, the standard list is displayed in descending order of matching degree, and the key difference clauses are marked. 4.The smart environment monitoring sampling information management system of claim 1, wherein, The data verification submodule of the sampling closed-loop management module verifies the real-time state of the sampling device in addition to the core seven checks, and forcibly marks "device low power" in low power state to remind the sampling personnel to replace the device. 5.The smart environment monitoring sampling information management system according to claim 1, wherein, The intelligent analysis submodule of the data interaction and analysis module has built-in environmental factor prediction model, inputs historical sampling data and meteorological data, predicts the change trend of pollution factors in the next 7 days, generates visual prediction curve, and pushes to environmental management personnel terminal. 6.The smart environment monitoring sampling information management system according to claim 1, wherein, The operation log of the audit traceability module generates Merkle tree through the association of blockchain storage interface, triggers tree structure change for any operation modification, and can trace the operation history through the blockchain browser. 7.The smart environment monitoring sampling information management system according to claim 1, wherein, The mobile terminal operation APP of the multi-terminal collaborative interaction module supports offline caching of ≥100 sampling task data, automatically initiates data synchronization after network recovery, triggers manual intervention process when synchronization fails, notifies the administrator through email / sms, and ensures that the sampling data is not lost.

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