Comprehensive processing system for digital-intelligent monitoring data of water ecology

Abstract

The invention relates to a comprehensive processing system for water ecology digital intelligent monitoring data, which is characterized in that a monitoring system is constructed based on the Internet of Things, a monitoring point position information management unit is used for monitoring point maintenance and recording point position information including basic information of a monitoring point and a monitoring scheme required by the monitoring point, and a biological detection method management unit is used for monitoring the monitoring point. All monitoring standard related information in a biological detection capability range is comprehensively managed, sampling services of monitoring points are registered through a monitoring service process management unit, and sampling, handover, analysis, result auditing and reporting are carried out according to sampling requirements of detection tasks; the organism on-line management unit is used for photographing, uploading and automatically identifying organisms at a monitoring point, meanwhile, the system is further provided with the system safety management unit, various safety mechanisms are adopted to ensure the safety of system application and data safety management to ensure the safety of the whole system, and remote access, transmission encryption and data safety backup and recovery are achieved.

Description

Technical Field

[0001] The invention discloses a data comprehensive processing system, belongs to the technical field of data processing systems, and specifically relates to a water ecological digital intelligent monitoring data comprehensive processing system. Background Art

[0002] Water environment monitoring is an important part of ensuring the sustainable use of water resources and the protection of the ecological environment. Although traditional water environment monitoring methods have achieved certain results in the past few decades, with the continuous advancement of technology and the increasing complexity of environmental problems, the limitations of traditional methods have become more and more obvious. Digital transformation, that is, the combination of digitization and intelligence, provides new ideas and solutions for water environment monitoring.

[0003] Traditional water environment monitoring mainly relies on manual sampling, laboratory analysis and regular inspections.

[0004] 1. Manual sampling: Manual sampling is one of the most traditional and widely used methods for water environment monitoring. Monitoring personnel collect water samples through special sampling equipment and send these samples to the laboratory for detailed analysis of physical, chemical and biological indicators. In the laboratory, through high-precision instruments and professional technology, scientists can detect various pollutants in the water, such as heavy metals, organic pollutants, nutrients, etc., to assess the water quality. However, this method has several significant limitations, such as poor timeliness of data, great human influence and limited coverage.

[0005] 2. On-site testing: On-site testing uses portable instruments to conduct real-time testing of some water quality parameters at the water site. These portable devices can measure parameters such as dissolved oxygen (DO), pH, temperature, and conductivity. This method has certain real-time and convenience, and can quickly obtain basic information on water quality. However, the detection accuracy and range of portable instruments are often not as good as laboratory analysis, and due to the complex on-site conditions, they may be interfered by various environmental factors, resulting in a decrease in the accuracy and stability of the measurement results.

[0006] 3. Remote sensing technology: Remote sensing technology uses sensors carried by satellites, aircraft or drones to conduct macroscopic monitoring of water bodies. These sensors can capture information such as temperature, color, reflectivity, etc. on the surface of the water body, thereby indirectly inferring certain water quality characteristics of the water body. The advantages of remote sensing technology are its wide coverage, ability to monitor hard-to-reach areas, and not being restricted by ground conditions. However, remote sensing technology also has its limitations, such as limited resolution, being greatly affected by meteorological conditions, and being unable to directly measure certain key water quality parameters (such as chemical pollutant concentrations).

[0007] From the above, it can be seen that traditional water environment monitoring mostly adopts manual monitoring or sensor timed monitoring. Sampling tasks are arranged manually on site, and staff conduct sampling or sensor timed monitoring and report. However, both methods are inefficient and the information flow is slow. At the same time, when more and more data accumulates in the later stage, problems such as data loss and data leakage are prone to occur, which is not conducive to management. Therefore, there is an urgent need to use advanced information technology to build an advanced, timely and efficient digital monitoring data comprehensive processing system to solve the shortcomings of existing technologies. Summary of the invention

[0008] Purpose of the invention: To provide a comprehensive processing system for digital monitoring data of water ecology to solve the above-mentioned problems.

[0009] Technical solution: A comprehensive processing system for digital monitoring data of water ecology, the comprehensive processing system includes:

[0010] Monitoring point information management unit, used for monitoring point maintenance and recording point information, including basic information of the measuring point and the monitoring plan required for the measuring point;

[0011] The biological detection method management unit comprehensively manages all monitoring standard-related information within the scope of biological detection capabilities, automatically calculates the test results through custom formulas, and rounds off the test results based on rounding rules and detection limit accuracy;

[0012] The monitoring business process management unit is used to register the sampling business of the monitoring point, and to carry out sampling, handover, analysis, result review and reporting according to the sampling requirements of the detection task;

[0013] Biological online management unit, used to take photos of the organisms at the monitoring points and upload them for automatic identification, and to perform data analysis based on the results, and to optimize the comprehensive information database of biological environment monitoring by combining information from multiple parties;

[0014] The system security management unit uses a variety of security mechanisms to ensure the security of system applications;

[0015] Data security management is used to ensure the security of the entire system, realize remote access and transmission encryption, and data security backup and recovery.

[0016] In a further embodiment, the monitoring point information management unit records the point information, and the content of the monitoring point maintenance includes the basic information of the monitoring point and the monitoring plan required by the monitoring point; when registering a task, when selecting a monitoring point, the system can directly associate the monitoring plan of the point, so as to facilitate the task registration personnel to quickly issue the task;

[0017] The basic information of the monitoring point includes the point name, point code, location, point nature, current water quality level, target water quality level, and latitude and longitude point information;

[0018] The monitoring plan required for the monitoring point includes: monitoring items, corresponding detection methods, and evaluation standards.

[0019] In a further embodiment, the biological detection method management unit comprehensively manages all monitoring standard-related information within the scope of biological detection capabilities, including the detection item number, detection item name, analysis method, detection department, whether the method is certified, whether the method is recognized, sampling container, fixative, method parameters, detection factor number, name, calculation formula, rounding rules including rounding, rounding down to even and odd numbers, retaining decimal places and significant digits, detection limit, measurement unit, applicable analytical instruments, and pre-treatment measures; through custom formulas, automatic calculation of detection results is achieved, and the defined formulas are verified; the system realizes the rounding of detection results according to the rounding rules and the detection limit accuracy, and satisfies both conditions at the same time.

[0020] In a further embodiment, the monitoring business process management unit includes:

[0021] The monitoring business registration module is used to register different task information or monitoring plans in the system, and can automatically generate a task list, which includes basic task information and monitoring plans;

[0022] The sampling arrangement module transfers the registered tasks to the sampling stage and specifies the sampling arrangement plan according to the sampling requirements of the detection tasks;

[0023] The mobile terminal sampling / field investigation module generates a barcode label for the sampling bottle according to the sampling arrangement plan of the sampling arrangement module, realizes automatic bottle allocation according to the sampling specification, and the sampling personnel print the task sheet, barcode label and field sampling record sheet to fill in and conduct field sampling;

[0024] The sample handover module receives the barcode label of the sampling bottle that has completed sampling in the mobile terminal sampling / field investigation module by scanning the QR code on the sample label through the mobile terminal, and records the sample handover details;

[0025] The biological analysis module classifies, enters and collects the sampling tasks in the sample handover module through system allocation, and generates original record sheets in a unified format.

[0026] A data verification / review module verifies and reviews the data analyzed in the biological analysis module, and data that does not meet the requirements is returned for re-analysis;

[0027] The data reporting module is used for the comprehensive and integrated management of biological monitoring data. According to the personalized needs of users, it can generate, preview and print various reports that need to be submitted to the headquarters on a monthly, quarterly and annual basis for biological data.

[0028] In a further embodiment, the biological online management unit comprises:

[0029] The species AI online identification module uses artificial intelligence software tools to build a species library, connect the mobile terminal to the species library, take photos and upload them on the mobile terminal, and run image recognition to automatically identify the species;

[0030] Biological remote sensing online monitoring module, by selecting the area and time, you can view the remote sensing information and download pictures;

[0031] The biomonitoring news hotspot module links to biomonitoring related news hotspots, or the administrator manually updates the news every day, which can be viewed on mobile phones.

[0032] The biological big data analysis module is composed of a comprehensive information database for biological environment monitoring. It is used for various queries, statistics, intelligent analysis and data mining of monitoring data, and can be displayed in multiple ways such as bar charts, line charts, scatter plots and pie charts.

[0033] In a further embodiment, the system security management unit includes:

[0034] User management module, each user accessing the system defines a unique account, and the user sets his own password. Once the password is set, the system uses a certain encryption algorithm to encrypt the password;

[0035] Authorization-Organizational Structure Module is used to provide users with management of their organizational structure. Here, the user's department can be defined hierarchically, and each department has its own positions, and each position has its own members.

[0036] The role management module sets the functional modules that each role or user can access, and specifies that each function in the module must be authorized;

[0037] The identity verification module is used to correspond to a unique electronic signature for each user, and the system will give the user's electronic signature a unique digital key;

[0038] Audit tracking module, used to record each operator's modification of all original data, including modification time, data before and after modification;

[0039] The system log module is used to observe all the people currently entering the system, the workstations they log in from, and the historical records of all people's logins; it can also record the people entering and leaving the system, the modules accessed, the length of stay, and the changes made to the data, and provide hierarchical log queries based on different permissions.

[0040] In a further embodiment, the data security management unit includes:

[0041] Remote access and transmission encryption module, which realizes data password transmission through encryption and decryption algorithms during data transmission. A series of measures are combined with network layer security isolation system, firewall, VPN network configuration to ensure data transmission security;

[0042] The data backup / recovery module is used for automatic scheduled data backup. At the same time, the system and data are regularly backed up on tape drives, mobile hard disks or optical disks, and the backup data is stored in a remote location.

[0043] In a further embodiment, the system also reserves an integration interface with other information systems for outputting the results of the species intelligent identification instrument and the Ai intelligent species identification platform in the form of a standard interface.

[0044] Beneficial effects: The present invention constructs a monitoring system based on the Internet of Things, and uses a monitoring point information management unit to maintain monitoring points and record point information, including basic information of the measuring point and the monitoring plan required for the measuring point. Through the biological detection method management unit, all monitoring standard-related information within the scope of biological detection capabilities is comprehensively managed, and the sampling business of the monitoring point is registered through the monitoring business process management unit, and sampling, handover, analysis, result review and reporting are carried out according to the sampling requirements of the detection task; the biological online management unit is used to take photos of the monitoring point organisms and upload them for automatic identification. At the same time, the present invention is also provided with a system security management unit that adopts a variety of security mechanisms to ensure the security of system applications and data security management to ensure the security of the entire system, realize remote access and transmission encryption and data security backup and recovery, so that the present invention can realize automatic task allocation and digital management, so that the early tasks are allocated to the later data management, and data management is realized. The various elements in the management process are organized into standardized processes, and the relevant personnel fill in, count and analyze the data according to the specifications, thereby forming a complete set of standardized operation processes, greatly improving work efficiency and enterprise management effectiveness. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a schematic diagram of the comprehensive processing system of the present invention.

[0046] Figure 2 It is a monitoring business flow chart of the present invention.

[0047] Figure 3 It is a schematic diagram of the monitoring business process management unit of the present invention.

[0048] Figure 4 It is a schematic diagram of the biological online management unit of the present invention.

[0049] Figure 5 It is a schematic diagram of the system security management unit of the present invention.

[0050] Figure 6 It is a schematic diagram of the data security management unit of the present invention. DETAILED DESCRIPTION

[0051] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0052] A comprehensive processing system for digital monitoring data of water ecology, such as Figure 1 As shown, the integrated processing system includes:

[0053] Monitoring point information management unit, used for monitoring point maintenance and recording point information, including basic information of the measuring point and the monitoring plan required for the measuring point;

[0054] The biological detection method management unit comprehensively manages all monitoring standard-related information within the scope of biological detection capabilities, automatically calculates the test results through custom formulas, and rounds off the test results based on rounding rules and detection limit accuracy;

[0055] The monitoring business process management unit is used to register the sampling business of the monitoring point, and to carry out sampling, handover, analysis, result review and reporting according to the sampling requirements of the detection task;

[0056] Biological online management unit, used to take photos of the organisms at the monitoring points and upload them for automatic identification, and to perform data analysis based on the results, and to optimize the comprehensive information database of biological environment monitoring by combining information from multiple parties;

[0057] The system security management unit uses a variety of security mechanisms to ensure the security of system applications;

[0058] Data security management, used to ensure the security of the entire system, realize remote access and transmission encryption, and data security backup and recovery;

[0059] An interface for integration with other information systems is reserved to output the results of the species intelligent identification instrument and the Ai intelligent species identification platform in the form of a standard interface.

[0060] Embodiment 1:

[0061] The monitoring point information management unit can record point information. The content of monitoring point maintenance includes the basic information of the measuring point (including point name, point code, location, measuring point nature, current water quality level, target water quality level, longitude and latitude, etc.), and the monitoring plan required for the measuring point (monitoring items, corresponding detection methods, evaluation standards, etc.). When registering a task, when selecting a monitoring point, the system can directly associate the monitoring plan of the point, which is convenient for task registration personnel to quickly issue tasks.

[0062] Embodiment 2:

[0063] The biological detection method management unit can comprehensively manage all monitoring standard related information within the scope of biological detection capabilities, including the detection item number, detection item name, analysis method, detection department, whether the method is certified, whether the method is recognized, sampling container, fixative, method parameters, detection factor number, name, calculation formula, rounding rules (including rounding, rounding down to even and odd numbers, retaining decimal places and significant digits), detection limit, measurement unit, applicable analytical instrument, pre-treatment measures, etc. Through custom formulas, the automatic calculation of test results can be realized, and the defined formulas can be verified. The system can realize the rounding of test results according to the rounding rules and the detection limit accuracy, and meet both conditions at the same time.

[0064] Embodiment 3:

[0065] like Figure 2 and Figure 3 As shown, the monitoring business process management unit mainly includes:

[0066] Monitoring business registration module

[0067] The system has a task registration function, which can be used to register different task information in the system, and can also register monitoring plans. The monitoring plans include sample type, sampling point information, sampling cycle, frequency and number of samples for each sampling, test items and methods for each sample, and the evaluation basis for each test point. All this information can be defined in detail in the system and then selected.

[0068] For fixed tasks, the system can maintain monitoring plans and realize automatic registration of monitoring tasks.

[0069] The system has the function of copying tasks and plans.

[0070] The system can automatically generate a task order, which includes basic task information and monitoring plan.

[0071] Sampling Arrangement Module

[0072] After the project is registered, it can be directly transferred to the sampling stage. According to the sampling requirements of the detection task, the person in charge of the sampling department can arrange the sampling date, the person in charge of the site and the sampling team members in the system. When sampling is not possible, you can return to any of the above task scheduling links at any time.

[0073] Mobile sampling / field investigation module

[0074] The system automatically generates barcode labels for sampling bottles, and automatically allocates bottles according to sampling specifications. Sampling personnel can print task orders, barcode labels, and on-site sampling record sheets.

[0075] On-site monitoring personnel can view the tasks assigned to them on mobile devices.

[0076] On-site monitoring personnel can use the GPS positioning function on the mobile terminal to automatically locate the current GPS position on the mobile phone, and compare it with the latitude and longitude of the monitoring point maintained in the system, automatically calculate the deviation distance, and confirm whether the current monitoring point of the on-site monitoring personnel meets the requirements. At the same time, the geographic information of the monitoring point for this sampling can be recorded, and the sampling point can also be photographed and filmed to ensure that all on-site monitoring personnel can collect samples at the same sampling point, ensuring the comparability of monitoring data and effectively avoiding the problem of inconsistency between monitoring data and real data caused by human factors.

[0077] Sampling personnel can fill out the on-site sampling record form through the mobile terminal on site, filling in the sampling time, water depth of the sampling point, transparency, sampling volume, description of the surrounding habitat characteristics and remarks.

[0078] On-site sampling personnel can fill in the habitat evaluation data form information on the mobile terminal, conduct habitat evaluation scoring, and automatically calculate the total score.

[0079] The function of taking photos and recording videos at the sampling point can be realized. On-site personnel can directly take photos or record videos and upload relevant on-site conditions through this function. Taking photos can automatically generate watermarks. On-site remote sensing photos taken by drones can also be uploaded through mobile phones.

[0080] The system supports uploading common document attachments, such as: txt, word, Excel, PDF, JPG, BMP, etc., and you can browse the attachments at any time.

[0081] You can query historical data on the mobile terminal.

[0082] Sample transfer module

[0083] The sample administrator can scan the QR code on the sample label through the mobile terminal to receive the sample and record the detailed information of the sample handover, such as the person who collects or delivers the sample, the person who receives the sample, the time of sample receipt, and the status of the sample. A sample handover form can also be formed. When some samples do not meet the acceptance conditions, they can be returned.

[0084] Bioanalysis Module

[0085] After receiving the task, the analyst can create a batch in the system based on the actual machine task. The samples analyzed in the same batch are created in one batch for data entry and collection.

[0086] For user units that have purchased automatic algae identification instruments, the system can automatically collect the analysis results of the algae identification instrument and species pictures of the samples.

[0087] For users who have not purchased automatic identification equipment, the system can provide a fast and convenient way to manually input data. For example, batch input and EXCEL import functions can automatically round the input data according to the set rounding rules, and automatically calculate the data with defined calculation formulas. When entering data, charts, files and other related information can be saved as attachments. When entering data, the system automatically records the entry time and the person who entered it.

[0088] After the data entry is completed, the system can automatically generate an original record sheet in a unified format, including sample information, analysis method, detection instrument, analyst, analysis time, experimental parameters, pre-treatment measures, test results, and quality control information.

[0089] On the result entry interface, analysts can browse the electronic version of the analysis method for the monitoring project and view the trend chart of the historical data of the sampling point. The trend chart can be queried and browsed according to the same analysis instrument and the same analyst.

[0090] The sample information can be traced on the result entry interface, and analysts can understand the relevant information of the sample and modify the data.

[0091] Data verification / audit module

[0092] The system sets up verification and review for the analyzed data, and sets up electronic signatures for the verification and review.

[0093] Auditors can check the progress of tasks and understand the completion status of tasks at any time to ensure that data is reported in a timely manner.

[0094] During verification and audit, the original data of the sample, species pictures and other information can be viewed. If the verifier and auditor finds abnormal data, they can return it to the analyst for re-testing, and the system will record the data modification information.

[0095] Data reporting module

[0096] It realizes the comprehensive and integrated management of biological monitoring data. According to the personalized needs of users, it can generate, preview and print various reports that need to be submitted to provincial departments and national headquarters on a monthly, quarterly and annual basis. It can also directly export applications such as Word, Excel, PDF or charts, which greatly reduces the workload of data analysis work of data reporting departments and improves the application efficiency and accuracy of biological monitoring data.

[0097] Embodiment 4:

[0098] like Figure 4 As shown, the biological online management unit mainly includes:

[0099] Species AI online identification module

[0100] Use artificial intelligence software tools to build a species library, link the mobile terminal to the species library, take photos on the mobile terminal and upload them, and run image recognition to automatically identify the species.

[0101] Biological remote sensing online monitoring module

[0102] The cyanobacteria bloom remote sensing online monitoring system can select the area and time, view the remote sensing information, and download pictures.

[0103] Biomonitoring News Hotspot Module

[0104] The mobile terminal can link to hot news related to biological monitoring, or the administrator can manually update the news every day and view it on the mobile phone.

[0105] Biological big data analysis module

[0106] Establish a complete biological environment monitoring comprehensive information database. The information source of this database should be very broad. It can be previous historical biological monitoring data or the reported results of online monitoring. It can be imported into the system through EXCEL to form a biological monitoring information database. On this basis, various queries, statistics, intelligent analysis and data mining of monitoring data can be realized. It can be displayed in various ways such as bar charts, line charts, scatter plots, pie charts, etc., which greatly reduces the data analysis workload of the comprehensive information analysis department.

[0107] In combination with the GIS system, geographic information and monitoring data are combined to achieve data linkage display, providing data support for ecological environment monitoring and improvement.

[0108] Embodiment 5:

[0109] like Figure 5 As shown in the figure, the system security management unit provides a variety of security mechanisms for system software to ensure the security of system applications, mainly including:

[0110] 1) User management module

[0111] Like any other information system, the security of the system is first reflected in defining a unique account (user name) for each user accessing the system. Users can set their own passwords. Once the password is set, the system uses a certain encryption algorithm to encrypt the password.

[0112] 2) Authorization-Organizational Structure Module

[0113] The organizational structure module of the system can provide users with the management of their organizational structure, where the user's department can be defined hierarchically, and each department has its own position, and each position has its own members. A user can be assigned to multiple teams, so that he or she can have access to the data of multiple teams and positions.

[0114] 3) Role Management Module

[0115] In the role management module, the system can set the functional modules that each role or user can access, and refine it to the point that each function in the use module must be authorized. After role authorization, each user can only see the functional modules within the scope of his or her role in the console.

[0116] 4) Authentication module

[0117] The setting of electronic signature is implemented in the user management module of the system. Each user corresponds to a unique electronic signature, and the system will assign a unique digital key to the user's electronic signature.

[0118] 5) Audit trail module

[0119] The closed-loop traceability of the system helps users fully comply with the requirements of all management elements of the ISO / IEC 17025 standard. The electronic signature function and the audit trail of test results can confirm and track the changes made to the system. The audit trail function records each operator's changes to all original data, including the modification time, and the data before and after the modification.

[0120] 6) System log module

[0121] Through the system log, the system administrator can observe all the people who have entered the system, the workstations they have logged in, and the history of all people's logins. It can also record the people who have entered and exited the system, the modules they have accessed, the length of stay, and the changes made to the data, and provide log queries at different levels according to different permissions.

[0122] Embodiment 6:

[0123] like Figure 6 As shown in the figure, data security management mainly includes:

[0124] Remote access and transmission encryption module

[0125] In order to ensure the security of data during network transmission and prevent data loss and leakage, the system will use encryption and decryption algorithms to achieve data password transmission during data transmission. A series of measures such as network layer security isolation system (enterprise version antivirus software), firewall, VPN network configuration, etc. are combined to ensure the security of data transmission.

[0126] Data backup / restore module

[0127] 1) Database backup strategy

[0128] The system can meet the requirements of scheduled automatic data backup, complete logical full backup and incremental backup of data every week, and physical full backup of data every month.

[0129] 2) Database recovery strategy

[0130] Regularly back up the system and data on tape drives, mobile hard drives or CDs, and store the backup data in a remote location to avoid data loss caused by force majeure such as earthquakes.

[0131] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the invention.

Claims

1. A water ecology digital intelligent monitoring data comprehensive processing system, characterized in that: The comprehensive processing system comprises: Monitoring point information management unit, used for monitoring point maintenance and recording point information, including basic information of the measuring point and the monitoring plan required for the measuring point; The biological detection method management unit comprehensively manages all monitoring standard-related information within the scope of biological detection capabilities, automatically calculates the test results through custom formulas, and rounds off the test results based on rounding rules and detection limit accuracy; The monitoring business process management unit is used to register the sampling business of the monitoring point, and to carry out sampling, handover, analysis, result review and reporting according to the sampling requirements of the detection task; Biological online management unit, used to take photos of the organisms at the monitoring points and upload them for automatic identification, and to perform data analysis based on the results, and to optimize the comprehensive information database of biological environment monitoring by combining information from multiple parties; The system security management unit uses a variety of security mechanisms to ensure the security of system applications; Data security management is used to ensure the security of the entire system, realize remote access and transmission encryption, and data security backup and recovery.

2. According to claim 1, a water ecology digital intelligent monitoring data comprehensive processing system is characterized in that: The monitoring point information management unit records the point information. The content of the monitoring point maintenance includes the basic information of the monitoring point and the monitoring plan required by the monitoring point. When registering a task, when selecting a monitoring point, the system can directly associate the monitoring plan of the point, so that the task registration personnel can quickly issue the task; The basic information of the monitoring point includes the point name, point code, location, point nature, current water quality level, target water quality level, and latitude and longitude point information; The monitoring plan required for the monitoring point includes: monitoring items, corresponding detection methods, and evaluation standards.

3. According to claim 1, a water ecology digital intelligent monitoring data comprehensive processing system is characterized in that: The biological detection method management unit comprehensively manages all monitoring standard related information within the scope of biological detection capabilities, including detection item number, detection item name, analysis method, detection department, whether the method is certified, whether the method is recognized, sampling container, fixative, method parameters, detection factor number, name, calculation formula, rounding rules including rounding, rounding down to even and odd numbers, retaining decimal places and significant digits, detection limit, measurement unit, applicable analytical instrument, and pre-treatment measures; through custom formulas, automatic calculation of detection results is realized, and the defined formulas are verified; the system realizes rounding of detection results according to rounding rules and detection limit accuracy, and satisfies both situations at the same time.

4. According to claim 1, a water ecology digital intelligent monitoring data comprehensive processing system is characterized in that: The monitoring business process management unit includes: The monitoring business registration module is used to register different task information or monitoring plans in the system, and can automatically generate a task list, which includes basic task information and monitoring plans; The sampling arrangement module transfers the registered tasks to the sampling stage and specifies the sampling arrangement plan according to the sampling requirements of the detection tasks; The mobile terminal sampling / field investigation module generates a barcode label for the sampling bottle according to the sampling arrangement plan of the sampling arrangement module, realizes automatic bottle allocation according to the sampling specification, and the sampling personnel print the task sheet, barcode label and field sampling record sheet to fill in and conduct field sampling; The sample handover module receives the barcode label of the sampling bottle that has completed sampling in the mobile terminal sampling / field investigation module by scanning the QR code on the sample label through the mobile terminal, and records the sample handover details; The biological analysis module classifies, enters and collects the sampling tasks in the sample handover module through system allocation, and generates original record sheets in a unified format. A data verification / review module verifies and reviews the data analyzed in the biological analysis module, and data that does not meet the requirements is returned for re-analysis; The data reporting module is used for the comprehensive and integrated management of biological monitoring data. According to the personalized needs of users, it can generate, preview and print various reports that need to be submitted to the headquarters on a monthly, quarterly and annual basis for biological data.

5. According to claim 1, a water ecology digital intelligent monitoring data comprehensive processing system is characterized in that: The biological online management unit comprises: The species AI online identification module uses artificial intelligence software tools to build a species library, connect the mobile terminal to the species library, take photos and upload them on the mobile terminal, and run image recognition to automatically identify the species; Biological remote sensing online monitoring module, by selecting the area and time, you can view the remote sensing information and download pictures; The biomonitoring news hotspot module links to biomonitoring related news hotspots, or the administrator manually updates the news every day, which can be viewed on mobile phones. The biological big data analysis module is composed of a comprehensive information database for biological environment monitoring. It is used for various queries, statistics, intelligent analysis and data mining of monitoring data, and can be displayed in multiple ways such as bar charts, line charts, scatter plots and pie charts.

6. The water ecology digital intelligent monitoring data comprehensive processing system according to claim 1 is characterized in that: The system security management unit comprises: User management module, each user accessing the system defines a unique account, and the user sets his own password. Once the password is set, the system uses a certain encryption algorithm to encrypt the password; Authorization-Organizational Structure Module is used to provide users with management of their organizational structure. Here, the user's department can be defined hierarchically, and each department has its own positions, and each position has its own members. The role management module sets the functional modules that each role or user can access, and specifies that each function in the module must be authorized; The identity verification module is used to correspond to a unique electronic signature for each user, and the system will give the user's electronic signature a unique digital key; Audit tracking module, used to record each operator's modification of all original data, including modification time, data before and after modification; The system log module is used to observe all the people currently entering the system, the workstations they log in from, and the historical records of all people's logins; it can also record the people entering and leaving the system, the modules accessed, the length of stay, and the changes made to the data, and provide hierarchical log queries based on different permissions.

7. The water ecology digital intelligent monitoring data comprehensive processing system according to claim 1 is characterized in that: The data security management unit includes: Remote access and transmission encryption module, which realizes data password transmission through encryption and decryption algorithms during data transmission. A series of measures are combined with network layer security isolation system, firewall, VPN network configuration to ensure data transmission security; The data backup / recovery module is used for automatic scheduled data backup. At the same time, the system and data are regularly backed up on tape drives, mobile hard disks or optical disks, and the backup data is stored in a remote location.

8. The water ecology digital intelligent monitoring data comprehensive processing system according to claim 1 is characterized in that: The system also reserves interfaces for integration with other information systems to output the results of species intelligent identification instruments and the Ai intelligent species identification platform in the form of standard interfaces.

Images