A water environment monitoring method based on data processing

Abstract

The present invention relates to the field of environmental science and information technology, and discloses a water environment monitoring method based on data processing, including: collecting water environment characteristic data and corresponding monitoring index data; converting the characteristic data into a unified format and arranging them in order of type; determining at least one monitoring dimension, and sequentially detecting whether there is a corresponding monitoring index in the characteristic data; when determining the existence of each monitoring index, forming a monitoring dimension with all the currently existing monitoring indexes and the numerical values ​​corresponding to each monitoring index; respectively establishing the corresponding relationship between each monitoring dimension and the corresponding water environment data; storing water environment data identifiers in a corresponding database; when searching, converting the search conditions into multiple monitoring dimensions, and extracting all water environment data identifiers in the corresponding database according to the monitoring dimensions. The present invention can improve the automation and intelligence level of water environment monitoring.

Description

Technical Field

[0001] The invention relates to the field of environmental science and information technology, and in particular to a water environment monitoring method based on data processing. Background Art

[0002] In the field of water environment monitoring, traditional monitoring methods often rely on manual data collection and analysis, which is not only time-consuming and labor-intensive, but also easily interfered with by human factors, resulting in the accuracy and reliability of the data being affected. In addition, due to the large number of monitoring indicators and the non-uniform data format, it is difficult to achieve efficient data management and rapid retrieval. Existing monitoring systems often face the problem of low storage and query efficiency when processing large-scale data, making it difficult to meet the needs of real-time monitoring and rapid response.

[0003] In the process of implementing the embodiments of the present invention, the inventors found that there are at least the following problems or defects in the prior art: first, the monitoring data is not standardized enough, which makes it difficult to integrate and compare data from different sources and types; second, the determination of monitoring dimensions is not flexible enough to adapt to changing monitoring needs and environmental conditions; third, the establishment and management of the database lack specificity, making it difficult to achieve efficient storage and rapid retrieval of data; finally, the calculation method of the comprehensive characteristic value is relatively simple and cannot fully reflect the complexity and diversity of water environment data. Summary of the invention

[0004] The embodiment of the present invention aims to provide a water environment monitoring method based on data processing to solve the technical problems raised in the prior art.

[0005] The embodiment of the present invention solves the technical problem by adopting the following technical solution:

[0006] A water environment monitoring method based on data processing is provided, comprising:

[0007] Converting the characteristic data into a unified format, wherein the types of the characteristic data after conversion into the format include: physical and chemical properties, biological indicators and environmental parameters, and are arranged in order of type;

[0008] Determining at least one monitoring dimension according to the format includes: detecting whether corresponding monitoring indicators exist in the characteristic data in the order of physical and chemical properties, biological indicators or environmental parameters; and forming a monitoring dimension by combining all currently existing monitoring indicators and the values ​​corresponding to the monitoring indicators each time it is determined that a monitoring indicator exists.

[0009] Establishing corresponding relationships between each monitoring dimension and corresponding water environment data respectively;

[0010] According to the monitoring dimension and the corresponding relationship, the water environment data identifier is stored in a corresponding database, and the database corresponds to the monitoring dimension one by one;

[0011] During the search, the search conditions are converted into multiple monitoring dimensions, and all water environment data identifiers in the corresponding database are extracted according to the monitoring dimensions.

[0012] Further, the characteristic data includes: reference data and monitoring data attributes, and the monitoring data attributes include: text, numbers or a combination of the two;

[0013] The converting the characteristic data into a unified format includes: determining a monitoring indicator corresponding to the monitoring data attribute according to the benchmark data and the monitoring data attribute;

[0014] The monitoring indicators corresponding to the monitoring data attributes are converted into corresponding formats.

[0015] Furthermore, storing the water environment data identifier in a corresponding database according to the monitoring dimension and the corresponding relationship includes: detecting whether there is a corresponding database for the monitoring dimension;

[0016] When it is determined that the database does not exist, a new database is created, where the new database corresponds to the monitoring dimension;

[0017] In the new database, the corresponding water environment data identifier is stored.

[0018] Further, the search includes the following steps:

[0019] Receiving monitoring indicator information input by a user, wherein the monitoring indicator information is an indicator range or an indicator point;

[0020] Determine, according to the format of the monitoring indicator information, at least one target monitoring dimension corresponding to the monitoring indicator information;

[0021] Searching for each of the target monitoring dimensions to see whether there is a corresponding database, the database being used to store water environment data identifiers, and each of the water environment data identifiers corresponds to at least one database;

[0022] Obtaining a database corresponding to the target monitoring dimension;

[0023] Extracting a water environment data identifier from the acquired database, wherein the target monitoring dimension corresponds to at least one of the water environment data identifiers;

[0024] According to the water environment data identifier, corresponding water environment data is returned.

[0025] Further, when the monitoring indicator information is an indicator range, at least one target monitoring dimension corresponding to the monitoring indicator information is determined according to the format of the monitoring indicator information, including: the format of the monitoring indicator information is specifically: the monitoring indicator type is physical and chemical properties, biological indicators, and environmental parameters, and is arranged in order of type;

[0026] According to the format of the monitoring indicator information, in the order of physical and chemical properties, biological indicators, and environmental parameters, the integer value of the indicator range is determined in sequence, and the integer value includes: an integer value and an integer value interval;

[0027] Determining the target monitoring dimension according to the integer value;

[0028] The target monitoring dimensions include one or more of the following: integer values ​​of physical and chemical properties, integer value intervals of biological indicators, and integer values ​​of environmental parameters.

[0029] Further, the determining of the integer value of the indicator range in the order of physical and chemical properties, biological indicators, and environmental parameters according to the format of the monitoring indicator information includes: determining whether the indicator range contains a specific integer value for the physical and chemical properties;

[0030] When a specific integer value is included, the indicator range is divided into a specific integer value interval and a non-specific integer value interval;

[0031] For the biological indicator, determining whether the non-specific integer value interval contains the biological indicator integer value;

[0032] When biological indicator integer values ​​are included, the indicator range is divided into a biological indicator integer value interval and a non-biological indicator integer value interval;

[0033] For the environmental parameter, determining whether the non-biological indicator integer value interval contains the environmental parameter integer value;

[0034] When an environmental parameter integer value is included, the indicator range is divided into an environmental parameter integer value interval and a non-environmental parameter integer value interval.

[0035] Furthermore, the integer value also includes:

[0036] A specific seconds value;

[0037] After dividing the indicator range into an environmental parameter integer value interval and a non-environmental parameter integer value interval, the method further comprises: determining, for a time unit of seconds, whether the non-environmental parameter integer value interval is a zero second value;

[0038] When it is determined to be a non-zero second value, the second value of the non-environmental parameter integer value interval is determined.

[0039] Further, when the monitoring indicator information is an indicator point, at least one target monitoring dimension corresponding to the monitoring indicator information is determined according to the format of the monitoring indicator information, including: the format of the monitoring indicator information is specifically: the monitoring indicator type is physical and chemical properties, biological indicators, and environmental parameters, and is arranged in order of type;

[0040] The monitoring indicator corresponding to the indicator point is the target monitoring dimension.

[0041] Furthermore, the corresponding relationship between each monitoring dimension and the corresponding water environment data is established as shown in calculation formula (1);

[0042] (1)

[0043] In the formula, In the monitoring dimension The comprehensive characteristic values ​​of all relevant water environment data types; is the total number of water environment data types; is the weight coefficient of the i-th data type, reflecting the importance of the data type in the comprehensive eigenvalue; is the characteristic function, calculated in the monitoring dimension Next, the i-th water environment data type The characteristic value of is the specific value of the i-th water environment data type.

[0044] Furthermore, the characteristic function The specific formula is shown in formula (2);

[0045] (2)

[0046] In the formula, is the intrinsic weight of the i-th data type; is the weight coefficient of monitoring dimension m for the i-th data type; is the weight coefficient of the interaction between data type and monitoring dimension; is the monitoring value of the i-th water environment data type; The value of the monitoring dimension.

[0047] According to the above-mentioned embodiments of the present invention, at least the following beneficial effects are achieved: the present invention can realize the systematic classification and orderly arrangement of data types by converting and standardizing water environment characteristic data and monitoring index data into a unified format. This format unification can not only improve the comparability and readability of data, but also provide a solid foundation for the subsequent determination of monitoring dimensions and establishment of databases. By establishing a corresponding relationship between monitoring dimensions and water environment data, the present invention can effectively manage and retrieve large-scale water environment data, improve the application efficiency of data and the response speed of monitoring work. In addition, the present invention determines the comprehensive characteristic value and characteristic function through a specific calculation formula, so that the monitoring results can more comprehensively and accurately reflect the actual situation of the water environment. This method not only takes into account the importance of a single data type, but also integrates the interaction between the data type and the monitoring dimension, thereby improving the scientificity and accuracy of the monitoring results. Through this method, real-time monitoring and rapid evaluation of water environment changes can be achieved, providing powerful data support for environmental management and decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] One or more embodiments are exemplarily described by the figures in the corresponding drawings, and these exemplifications do not constitute limitations on the embodiments. Elements with the same reference numerals in the drawings represent similar elements, and unless otherwise stated, the figures in the drawings do not constitute proportional limitations.

[0049] Figure 1 It is a flow chart of a water environment monitoring method based on data processing provided by an embodiment of the present invention;

[0050] Figure 2 It is a flow chart of a water environment monitoring method based on data processing provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0051] In order to facilitate the understanding of the present invention, the present invention is described in more detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that when an element is described as "connecting" another element, it can be directly on another element, or there can be one or more centered elements therebetween. The orientation or positional relationship indicated by the terms "upper", "lower", "left", "right", "upper end", "lower end", "top" and "bottom" used in this specification is based on the orientation or positional relationship shown in the accompanying drawings, only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present invention. In addition, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0052] Unless otherwise defined, all technical and scientific terms used in this specification have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention.

[0053] Combine the following Figure 1 , the water environment monitoring method 100 based on data processing provided in the embodiment of the present application is described in detail through a specific example.

[0054] Figure 1 1 is a flow chart of a water environment monitoring method based on data processing provided by the present invention. A water environment monitoring method based on data processing provided by one embodiment of the present invention includes:

[0055] Step 101, converting the characteristic data into a unified format, wherein the types of the characteristic data after conversion into the format include: physical and chemical properties, biological indicators and environmental parameters, and are arranged in order of type;

[0056] Step 102, determining at least one monitoring dimension according to the format, including: sequentially detecting whether corresponding monitoring indicators exist in the characteristic data in the order of physical and chemical properties, biological indicators or environmental parameters; each time when it is determined that a monitoring indicator exists, forming a monitoring dimension with all currently existing monitoring indicators and the values ​​corresponding to each monitoring indicator;

[0057] Step 103, respectively establishing a corresponding relationship between each monitoring dimension and corresponding water environment data;

[0058] According to the monitoring dimension and the corresponding relationship, the water environment data identifier is stored in a corresponding database, and the database corresponds to the monitoring dimension one by one;

[0059] Step 104, during the search, the search conditions are converted into multiple monitoring dimensions, and all water environment data identifiers in the corresponding database are extracted according to the monitoring dimensions.

[0060] In some embodiments, collecting water environment characteristic data and corresponding monitoring index data refers to comprehensive monitoring of water bodies to obtain physical and chemical property data including but not limited to temperature, pH value, dissolved oxygen, chemical oxygen demand (COD), ammonia nitrogen, heavy metal content, and biological index data such as plankton and benthic organisms, and environmental parameter data such as water flow velocity and water level. This step is the basis of the entire monitoring method and ensures the accuracy and reliability of subsequent data processing and analysis.

[0061] Specifically, the above water environment characteristic data can be further refined into multiple subcategories. For example, physical and chemical property data can include water conductivity, turbidity, etc., biological indicator data can cover aquatic plant coverage, fish population diversity, etc., and environmental parameter data may include rainfall, evaporation, etc. In the setting of monitoring indicator data, different monitoring frequencies and accuracies can be set according to specific monitoring purposes and requirements, such as monitoring pH values ​​once an hour, or evaluating aquatic biodiversity once a quarter.

[0062] Preferably, in the process of implementing the above monitoring data collection, automated monitoring equipment and sensors can be used to reduce human intervention and improve the efficiency and accuracy of data collection. For example, an online monitoring system can be used to record the values ​​of dissolved oxygen and COD in real time, or satellite remote sensing technology can be used to regularly obtain the coverage of water bodies and water quality change trends. In addition, in order to improve the representativeness and comprehensiveness of the data, multiple monitoring points can be selected for synchronous monitoring, or periodic monitoring can be performed at different time periods to reflect the dynamic changes of the water environment.

[0063] In some embodiments, the characteristic data includes: baseline data and monitoring data attributes, and the monitoring data attributes include: text, numbers, or a combination of the two;

[0064] The converting the characteristic data into a unified format includes: determining a monitoring indicator corresponding to the monitoring data attribute according to the benchmark data and the monitoring data attribute;

[0065] The monitoring indicators corresponding to the monitoring data attributes are converted into corresponding formats.

[0066] In some embodiments, the benchmark data and monitoring data attributes mean that in addition to collecting actual monitoring data, some benchmark data needs to be determined as a reference when conducting water environment monitoring. The benchmark data may include historical data, standard values, or known normal ranges, while the monitoring data attributes refer to specific monitoring indicators, such as text descriptions, digital records, or a combination thereof.

[0067] Specifically, the benchmark data can be the annual average, maximum and minimum values ​​of the same monitoring point in the past few years, or the water quality standards set by the environmental protection department. The monitoring data attributes may include specific monitoring items, such as dissolved oxygen content, pH value, etc., as well as their numerical ranges or specific values. For example, the monitoring data attribute can be set to a numerical range of dissolved oxygen content between 5mg / L and 15mg / L.

[0068] Preferably, in the process of determining the attributes of the monitoring data, a machine learning algorithm can be used to analyze the historical data to automatically identify the key monitoring indicators and their normal fluctuation ranges. In addition, in order to improve the accuracy and reliability of the data, multiple monitoring points can be set up and a distributed data acquisition system can be used to collect data. In the digital processing of data, natural language processing technology can be used to parse and convert unstructured monitoring data, such as converting text records of water quality descriptions into quantitative monitoring indicators.

[0069] In some embodiments, storing the water environment data identifier in a corresponding database according to the monitoring dimension and the corresponding relationship includes: detecting whether there is a corresponding database for the monitoring dimension;

[0070] When it is determined that the database does not exist, a new database is created, where the new database corresponds to the monitoring dimension;

[0071] In the new database, the corresponding water environment data identifier is stored.

[0072] In some embodiments, the monitored data is associated with a specific monitoring dimension and stored in a database. The storage process not only involves the storage of data, but also includes the indexing and classification of data to facilitate subsequent rapid retrieval and analysis.

[0073] Specifically, the monitoring dimensions can be physical and chemical properties, biological indicators or environmental parameters, and the water environment data identifier can be a unique identifier for each monitoring point, such as a geographic location, a timestamp or a specific water quality parameter value. In the construction of the database, an independent data table can be established for each monitoring dimension, which contains fields such as data identifier, monitoring value and timestamp. For example, the database table of physical and chemical properties may contain fields such as pH value, dissolved oxygen, and water temperature, while the database table of biological indicators may contain fields such as plankton counts and fish population density.

[0074] Preferably, in the process of storing water environment data identification, a relational database management system (RDBMS) can be used to organize data, and SQL language can be used to perform data addition, deletion, modification and query operations. In order to improve the efficiency of data retrieval, the database index can be optimized, such as indexing commonly used query fields. In addition, in order to adapt to the ever-changing monitoring needs, the database design should have a certain degree of flexibility and scalability, allowing new monitoring dimensions and data types to be added without interrupting services. You can also consider using cloud database services to achieve high data availability and disaster recovery capabilities.

[0075] In some embodiments, searching includes the following steps:

[0076] Receiving monitoring indicator information input by a user, wherein the monitoring indicator information is an indicator range or an indicator point;

[0077] Determine, according to the format of the monitoring indicator information, at least one target monitoring dimension corresponding to the monitoring indicator information;

[0078] Searching for each of the target monitoring dimensions to see whether there is a corresponding database, the database being used to store water environment data identifiers, and each of the water environment data identifiers corresponds to at least one database;

[0079] Obtaining a database corresponding to the target monitoring dimension;

[0080] Extracting a water environment data identifier from the acquired database, wherein the target monitoring dimension corresponds to at least one of the water environment data identifiers;

[0081] According to the water environment data identifier, corresponding water environment data is returned.

[0082] In some embodiments, allowing a user to retrieve water environment data based on specific monitoring indicator information includes receiving monitoring indicator information input by the user, which may be a specific indicator range or indicator point, and then performing data retrieval based on the information.

[0083] Specifically, the monitoring indicator information input by the user can be a series of specific numerical ranges, such as pH values ​​between 6.5 and 7.5, or specific indicator points, such as the dissolved oxygen content of a certain monitoring point at a specific time. The retrieval method converts these input information into at least one target monitoring dimension, which corresponds to the water environment data identifier stored in the database. For example, if the user enters a pH value range, the system will determine all data records with pH values ​​within this range and use them as the target monitoring dimension.

[0084] Preferably, the retrieval method can be further refined into multiple steps to improve the accuracy and efficiency of the retrieval. First, the system can parse the monitoring indicator information input by the user to determine the corresponding monitoring indicator type and range. Then, the system can query the database based on this information to find all matching records. In addition, in order to improve the flexibility of retrieval, the system can provide a variety of query options, such as fuzzy query, multi-condition query, etc. In the presentation of query results, the system can use visualization technology, such as charts or maps, to intuitively display the retrieval results to help users better understand the data. It is also possible to recommend relevant monitoring indicators or data based on the user's historical query behavior through an intelligent recommendation system.

[0085] In some embodiments, when the monitoring indicator information is an indicator range, determining at least one target monitoring dimension corresponding to the monitoring indicator information according to the format of the monitoring indicator information includes: the format of the monitoring indicator information is specifically: the monitoring indicator type is physical and chemical properties, biological indicators, and environmental parameters, and is arranged in order of type;

[0086] According to the format of the monitoring indicator information, in the order of physical and chemical properties, biological indicators, and environmental parameters, the integer value of the indicator range is determined in sequence, and the integer value includes: an integer value and an integer value interval;

[0087] Determining the target monitoring dimension according to the integer value;

[0088] The target monitoring dimensions include one or more of the following: integer values ​​of physical and chemical properties, integer value intervals of biological indicators, and integer values ​​of environmental parameters.

[0089] In some embodiments, the format of the monitoring indicator information is specified as physical and chemical properties, biological indicators, and environmental parameters, and arranged in the order of these types. The system will determine the integer values ​​of the indicator range in turn according to this format, and these integer values ​​may include specific integers or integer value intervals.

[0090] Specifically, the format of the monitoring indicator information can be defined as a structure with multiple levels. For example, the physical and chemical properties can include pH value, dissolved oxygen, etc., the biological indicators can be the biodiversity index or the number of specific species, and the environmental parameters can be water temperature, flow rate, etc. The system will receive the monitoring indicator range input by the user, such as the pH value range of 6.0 to 8.5, and then determine the integer value based on this range. For example, if the user specifies that the pH value range is 6.0 to 8.5, the system will recognize the three integer values ​​6, 7, and 8, and may further subdivide them into the intervals of 6.0-6.9, 7.0-7.9, and 8.0-8.5.

[0091] Preferably, the system can adopt a more sophisticated strategy to determine the integer value when processing the monitoring indicator information. For example, the system can set a parameter to define the granularity of the integer range, such as 0.1 or 0.5, to accommodate different monitoring accuracy requirements. In addition, the system can also provide a user interface to allow users to customize the range and granularity of monitoring indicators to meet personalized monitoring needs. During the data retrieval process, the system can use efficient query algorithms, such as binary search or hash table search, to quickly locate data records that meet the monitoring indicator range.

[0092] More specifically, the system can also implement semantic analysis of monitoring indicator information to identify and process ambiguous or incomplete input. For example, if the user enters "medium pH value", the system can parse it into a specific numerical range, such as 6.5 to 7.5. In addition, the system can also intelligently recommend monitoring indicator ranges that users may be interested in based on historical data and statistical analysis, thereby improving the pertinence and efficiency of retrieval. In terms of data display, the system can use dynamic charts or color-coded maps to intuitively display the distribution of data within different monitoring indicator ranges.

[0093] In some embodiments, the determining the integer value of the indicator range in sequence according to the format of the monitoring indicator information, in the order of physical and chemical properties, biological indicators, and environmental parameters, includes: determining whether the indicator range contains a specific integer value for the physical and chemical properties;

[0094] When a specific integer value is included, the indicator range is divided into a specific integer value interval and a non-specific integer value interval;

[0095] For the biological indicator, determining whether the non-specific integer value interval contains the biological indicator integer value;

[0096] When biological indicator integer values ​​are included, the indicator range is divided into a biological indicator integer value interval and a non-biological indicator integer value interval;

[0097] For the environmental parameter, determining whether the non-biological indicator integer value interval contains the environmental parameter integer value;

[0098] When an environmental parameter integer value is included, the indicator range is divided into an environmental parameter integer value interval and a non-environmental parameter integer value interval.

[0099] In some embodiments, when the monitoring indicator information is an indicator range, the target monitoring dimensions can be further subdivided and determined, including the order of physical and chemical properties, biological indicators and environmental parameters, and the integer values ​​in the indicator range are determined in turn. These integer values ​​may include specific integers or integer value ranges.

[0100] Specifically, for physicochemical properties, such as pH value, it is first determined whether the index range contains a specific integer value. If it does, the index range is divided into a specific integer value interval and a non-specific integer value interval. Next, for biological indicators, such as dissolved oxygen, it is determined whether the non-specific integer value interval contains the integer value of the biological indicator. If it does, the index range is further divided into a biological indicator integer value interval and a non-biological indicator integer value interval. Finally, similar operations are performed for environmental parameters, such as water temperature.

[0101] Preferably, when performing the above operations, a preset algorithm can be used to optimize the determination process of the monitoring indicators. For example, an interval merging algorithm can be used to process overlapping or adjacent integer value intervals to reduce data redundancy and improve retrieval efficiency. In addition, different weight coefficients can be set according to the importance and commonness of the monitoring indicators to give priority to more critical or more frequently queried indicator ranges.

[0102] In some embodiments, a user-defined interface can also be provided to support users to customize the input or adjust the range and specific integer value of the monitoring indicator. An intelligent prompt function can also be implemented to automatically complete or recommend possible monitoring indicator ranges based on the user's input history and common query patterns. In terms of data processing, multi-threading or distributed computing technology can be used to process large amounts of monitoring data in parallel to shorten response time and improve the overall performance of the system. In addition, machine learning models can be integrated to analyze trends and patterns in monitoring data, thereby providing users with more in-depth data analysis and prediction services.

[0103] In some embodiments, the integer value further comprises:

[0104] A specific seconds value;

[0105] After dividing the indicator range into an environmental parameter integer value interval and a non-environmental parameter integer value interval, the method further comprises: determining, for a time unit of seconds, whether the non-environmental parameter integer value interval is a zero second value;

[0106] When it is determined to be a non-zero second value, the second value of the non-environmental parameter integer value interval is determined.

[0107] In some embodiments, especially when processing integer values ​​of time units in seconds, after dividing the indicator range into environmental parameter integer value intervals and non-environmental parameter integer value intervals, the system needs to pay special attention to whether the non-environmental parameter integer value interval is a zero second value.

[0108] Specifically, when the monitoring indicator information involves time units, such as seconds, the non-environmental parameter integer value interval will be identified first, and then it will be determined whether the interval contains a zero second value. If it is determined to be a non-zero second value, the system will further analyze and determine the specific second value of the non-environmental parameter integer value interval. For example, if the monitoring indicator is the duration of a water treatment process, the system may need to identify the specific number of seconds that are non-zero seconds.

[0109] Preferably, when processing monitoring indicator information in seconds, a high-precision timestamp can be used to record and analyze data. Parameters can be set to define the accuracy of the timestamp, such as milliseconds or microseconds, to accommodate different monitoring accuracy requirements. In addition, the system can provide a user interface to allow users to customize the time range and specific seconds value to meet personalized monitoring needs.

[0110] More specifically, a time series analysis module can be used to process and analyze time-related monitoring data. This module can use sliding window technology to dynamically analyze time series data to identify trends and patterns. The system can also implement a time calibration function to ensure the consistency and comparability of data collected at different monitoring points or at different time points in time. In addition, the system can integrate a prediction model to predict future changes in monitoring indicators based on historical data, thereby providing users with more forward-looking monitoring results.

[0111] In some embodiments, when the monitoring indicator information is an indicator point, at least one target monitoring dimension corresponding to the monitoring indicator information is determined according to the format of the monitoring indicator information, including: the format of the monitoring indicator information is specifically: the monitoring indicator type is physical and chemical properties, biological indicators, and environmental parameters, and is arranged in order of type;

[0112] The monitoring indicator corresponding to the indicator point is the target monitoring dimension.

[0113] In some embodiments, when the monitoring indicator information is an indicator point, the corresponding target monitoring dimension needs to be determined. This involves parsing the monitoring indicator information input by the user into specific monitoring indicator types, such as physical and chemical properties, biological indicators, or environmental parameters, and arranging them in the order of these types. The system then directly maps these indicator points to the target monitoring dimension to facilitate data retrieval.

[0114] Specifically, the format of monitoring indicator information can be defined as a structure containing specific values ​​and type labels. For example, a user may enter an indicator point, such as "pH value is 7.2". The system will identify "pH value" as a monitoring indicator of the physical and chemical property type, and its value "7.2" as the specific value of the indicator. The system parses this information and determines it as the target monitoring dimension of the physical and chemical property.

[0115] Preferably, a standardized input format can be used to receive the monitoring indicator information input by the user to simplify the parsing process and reduce errors. For example, the user can be asked to enter in the format of "indicator type: value", or use a drop-down menu to select the indicator type and input value. In addition, the system can also provide automatic completion and error checking functions to help users correctly enter monitoring indicator information.

[0116] More specifically, an intelligent parsing engine can be used to identify and convert unstructured text input by users into structured monitoring indicator information. For example, if the user enters "the pH value of water is 7.2", the intelligent parsing engine will extract "pH value" and "7.2" as the indicator type and value, and map them to the corresponding target monitoring dimension. In addition, the system can integrate a knowledge base containing definitions and associated information of various monitoring indicators to support intelligent parsing and data retrieval. The system can also provide a feedback mechanism that allows users to verify and correct the results of intelligent parsing to improve accuracy.

[0117] In some embodiments, the corresponding relationship between each monitoring dimension and the corresponding water environment data is established as shown in calculation formula (1);

[0118] (1)

[0119] In the formula, In the monitoring dimension The comprehensive characteristic values ​​of all relevant water environment data types; is the total number of water environment data types; is the weight coefficient of the i-th data type, reflecting the importance of the data type in the comprehensive eigenvalue; is the characteristic function, calculated in the monitoring dimension Next, the i-th water environment data type The characteristic value of is the specific value of the i-th water environment data type.

[0120] In some embodiments, a calculation formula is used to comprehensively consider weight coefficients and eigenvalues ​​of different data types to derive a comprehensive eigenvalue that can reflect the overall status of water environment data under a specific monitoring dimension.

[0121] Preferably, the weight coefficients and characteristic functions can be determined by expert knowledge, historical data analysis, or machine learning algorithms. For example, if a certain data type has a greater impact on the environment, its weight coefficient may be increased accordingly. The characteristic function can be designed to take into account outliers, trend changes, or other statistical characteristics of the data. In addition, the system can provide tools for users to customize weight coefficients or adjust the calculation method of comprehensive characteristic values ​​according to specific environmental management goals.

[0122] More specifically, a dynamic adjustment mechanism can be used to update the weight coefficients in real time in response to changes in environmental conditions or new research results. For example, if a new emerging pollutant is found to have a greater impact on the water environment than expected, the system can automatically or manually adjust the weight coefficients of the relevant data types. In addition, the system can integrate a data validation module to ensure the accuracy of input data to avoid the impact of erroneous data on the comprehensive characteristic values. The system can also provide a visual interface to display the comprehensive characteristic values ​​under different monitoring dimensions, so that users can intuitively understand the current status and trends of the water environment.

[0123] In some embodiments, the characteristic function The specific formula is shown in formula (2);

[0124] (2)

[0125] In the formula, is the intrinsic weight of the i-th data type; is the weight coefficient of monitoring dimension m for the i-th data type; is the weight coefficient of the interaction between data type and monitoring dimension; is the monitoring value of the i-th water environment data type; The value of the monitoring dimension.

[0126] In some embodiments, this formula takes into account the inherent weight of the data type, the weight coefficient of the monitoring dimension to the data type, and the interaction weight coefficient between the data type and the monitoring dimension.

[0127] Preferably, the weight coefficients in the characteristic function can be determined by expert scoring, data analysis or machine learning models. These coefficients can be adjusted according to different environmental conditions and monitoring objectives to ensure that the characteristic values ​​can accurately reflect the importance and current status of water environment data. The monitoring value can be real-time monitoring data or the statistical value of historical data, and the monitoring dimension can be time, space or any other dimension related to monitoring.

[0128] More specifically, an adaptive weight adjustment algorithm can be designed to dynamically adjust the weight coefficient according to changes in monitoring data to improve the accuracy and adaptability of eigenvalue calculation. For example, if the monitoring value of a certain data type changes suddenly, the system can automatically increase the weight coefficient of the data type to ensure that it is properly reflected in the comprehensive eigenvalue. In addition, the system can provide a user interface that allows users to manually adjust the weight coefficient based on professional knowledge and experience, or customize the calculation method of the characteristic function according to specific environmental management needs. The system can also integrate a feedback learning mechanism to continuously optimize the weight coefficient according to monitoring results and environmental changes to improve the accuracy and efficiency of long-term monitoring.

[0129] The above-mentioned embodiments of the present invention have the following beneficial effects: First, the present invention can effectively solve the problem of data standardization by converting the collected water environment characteristic data and monitoring index data into a unified format. This format conversion can not only improve the consistency and compatibility of data, but also simplify the storage and processing process of data. Secondly, the present invention can optimize the data retrieval process by determining the monitoring dimension and establishing the database correspondence. This method allows the user to quickly locate the relevant water environment data according to specific monitoring indicators, which can shorten the retrieval time and improve the retrieval efficiency. Furthermore, the present invention provides a more in-depth analysis of water environment data by calculating the comprehensive characteristic value and characteristic function. This method not only considers the importance of a single data point, but also considers the interaction and influence between data types, thereby providing a more comprehensive and detailed monitoring result. Finally, the implementation of the present invention can also improve the automation and intelligence level of water environment monitoring. Through the automated data collection, processing and retrieval process, manual intervention can be reduced, the possibility of human error can be reduced, and the efficiency and accuracy of monitoring work can also be improved. This automated monitoring method can provide an efficient and reliable tool for environmental management departments, which helps to better protect and manage water resources.

[0130] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them. Under the concept of the present invention, the technical features in the above embodiments or different embodiments can also be combined, the steps can be implemented in any order, and there are many other changes in different aspects of the present invention as above, which are not provided in detail for the sake of simplicity. Although the present invention is described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A water environment monitoring method based on data processing, characterized in that: include: Collect water environment characteristic data and corresponding monitoring indicator data; The characteristic data are converted into a unified format, and the types of the characteristic data after conversion into the format include: physical and chemical properties, biological indicators and environmental parameters, and are arranged in order of type; the characteristic data include: baseline data and monitoring data attributes, and the monitoring data attributes include: text, numbers or a combination of the two; the characteristic data are converted into a unified format, including: determining the monitoring indicators corresponding to the monitoring data attributes according to the baseline data and the monitoring data attributes; converting the monitoring indicators corresponding to the monitoring data attributes into a corresponding format; Determining at least one monitoring dimension according to the format includes: detecting whether corresponding monitoring indicators exist in the characteristic data in the order of physical and chemical properties, biological indicators or environmental parameters; and forming a monitoring dimension by combining all currently existing monitoring indicators and the values ​​corresponding to the monitoring indicators each time it is determined that a monitoring indicator exists. Establish the corresponding relationship between each monitoring dimension and the corresponding water environment data, as shown in calculation formula (1); （1） In the formula, In the monitoring dimension The comprehensive characteristic values ​​of all relevant water environment data types; is the total number of water environment data types; is the weight coefficient of the i-th data type, reflecting the importance of the data type in the comprehensive eigenvalue; is the characteristic function, calculated in the monitoring dimension Next, the i-th water environment data type The characteristic value of is the specific value of the i-th water environment data type; the characteristic function The specific formula is shown in formula (2); （2） In the formula, is the intrinsic weight of the i-th data type; is the weight coefficient of monitoring dimension m for the i-th data type; is the weight coefficient of the interaction between data type and monitoring dimension; is the monitoring value of the i-th water environment data type; is the value of the monitoring dimension; According to the monitoring dimension and the corresponding relationship, the water environment data identifier is stored in a corresponding database, and the database corresponds to the monitoring dimension one by one; During the search, the search conditions are converted into multiple monitoring dimensions, and all water environment data identifiers in the corresponding database are extracted according to the monitoring dimensions.

2. The method according to claim 1, characterized in that According to the monitoring dimension and the corresponding relationship, storing the water environment data identifier in the corresponding database includes: detecting whether there is a corresponding database for the monitoring dimension; When it is determined that the database does not exist, a new database is created, where the new database corresponds to the monitoring dimension; In the new database, the corresponding water environment data identifier is stored.

3. A retrieval method based on water environment monitoring indicators, characterized in that: Used to retrieve data obtained according to the method of claim 2, the method comprising: receiving monitoring indicator information input by a user, the monitoring indicator information being an indicator range or an indicator point; Determine, according to the format of the monitoring indicator information, at least one target monitoring dimension corresponding to the monitoring indicator information; Searching for each of the target monitoring dimensions to see whether there is a corresponding database, the database being used to store water environment data identifiers, and each of the water environment data identifiers corresponds to at least one database; Obtaining a database corresponding to the target monitoring dimension; Extracting a water environment data identifier from the acquired database, wherein the target monitoring dimension corresponds to at least one of the water environment data identifiers; According to the water environment data identifier, corresponding water environment data is returned.

4. The method according to claim 3, characterized in that When the monitoring indicator information is an indicator range, determining at least one target monitoring dimension corresponding to the monitoring indicator information according to the format of the monitoring indicator information, including: the format of the monitoring indicator information is specifically: the monitoring indicator type is physical and chemical properties, biological indicators, and environmental parameters, and is arranged in order of type; According to the format of the monitoring indicator information, in the order of physical and chemical properties, biological indicators, and environmental parameters, the integer value of the indicator range is determined in sequence, and the integer value includes: an integer value and an integer value interval; Determining the target monitoring dimension according to the integer value; The target monitoring dimensions include one or more of the following: integer values ​​of physical and chemical properties, integer value intervals of biological indicators, and integer values ​​of environmental parameters.

5. The method according to claim 4, characterized in that The step of determining the integer value of the indicator range in the order of physical and chemical properties, biological indicators, and environmental parameters according to the format of the monitoring indicator information includes: determining whether the indicator range contains a specific integer value for the physical and chemical properties; When a specific integer value is included, the indicator range is divided into a specific integer value interval and a non-specific integer value interval; For the biological indicator, determining whether the non-specific integer value interval contains the biological indicator integer value; When biological indicator integer values ​​are included, the indicator range is divided into a biological indicator integer value interval and a non-biological indicator integer value interval; For the environmental parameter, determining whether the non-biological indicator integer value interval contains the environmental parameter integer value; When the environmental parameter integer value is included, the indicator range is divided into an environmental parameter integer value interval and a non-environmental parameter integer value interval.

6. The method according to claim 5, characterized in that The integer value also includes: a specific seconds value; After dividing the indicator range into an environmental parameter integer value interval and a non-environmental parameter integer value interval, the method further comprises: determining, for a time unit of seconds, whether the non-environmental parameter integer value interval is a zero second value; When it is determined to be a non-zero second value, the second value of the non-environmental parameter integer value interval is determined.

7. The method according to claim 3, characterized in that When the monitoring indicator information is an indicator point, determining at least one target monitoring dimension corresponding to the monitoring indicator information according to the format of the monitoring indicator information, including: the format of the monitoring indicator information is specifically: the monitoring indicator type is physical and chemical properties, biological indicators, and environmental parameters, and is arranged in order of type; The monitoring indicator corresponding to the indicator point is the target monitoring dimension.

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