A method for monitoring flux of non-optically active water environmental parameters based on hyperspectral detection

Abstract

The present application discloses a method for monitoring the flux of non-optically active water environment parameters based on hyperspectral detection, which relates to the technical field of water environment parameter flux monitoring and facilitates, to a certain extent, obtaining flux data of non-optically active water environment parameters of a water area to be detected. In the method provided by the present application, spectral data of a water body in a water area to be detected acquired at short time intervals are used as input parameters, and a corrected first function is used to obtain the optically active water environment parameters of the water body in the water area to be detected at short time intervals; the water environment physical data of the water body in the water area to be detected acquired at short time intervals are integrated, and a corrected second function is used to obtain the non-optically active water environment parameters of the water body in the water area to be detected at short time intervals; based on the non-optically active water environment parameters and flow data of the water area to be detected at short time intervals, an integral about time is constructed to obtain the flux of the non-optically active water environment parameters of the water area to be detected at short time intervals.

Description

Technical Field

[0001] The present application relates to the technical field of water environment parameter flux monitoring, and in particular to a non-optically active water environment parameter flux monitoring method based on hyperspectral detection. Background Art

[0002] Water environment parameter monitoring is directly related to the natural environment of natural water bodies. It involves measuring water quality parameters such as the types of various components to be detected and the concentrations of various pollutants. Water environment parameters include optically active water environment parameters and non-optically active water environment parameters. With technological advancements, the technologies for monitoring water environment parameters are becoming increasingly diverse, applicable to different water environments, and the test results are becoming increasingly accurate. In the process of water environment parameter detection, collecting water samples at different depths within the same area, pre-treating them on-site, and then bringing them back to the laboratory for analysis of the component content has become an essential means of obtaining scientific data on the water bodies in that area.

[0003] In the water environment parameter monitoring method disclosed in the prior art, real-time measurement of optically active water environment parameters of water quality is achieved through spectral monitoring technology. However, since the steps of the monitoring process of non-optically active water environment parameters are relatively complicated, it is difficult to obtain the changes in non-optically active water environment parameters in the water body in real time, which is not convenient for monitoring the water environment in the area. Summary of the Invention

[0004] The present application provides a method for monitoring the flux of non-optically active water environment parameters based on hyperspectral detection, which solves the defects of the existing technology in that it is difficult to obtain the changes of non-optically active water environment parameters in the water body in real time and the monitoring of the water environment in the area is difficult, thereby improving the convenience of obtaining non-optically active water environment parameters in the area.

[0005] On the one hand, the present application provides a method for monitoring flux of non-optically active water environment parameters based on hyperspectral detection, comprising:

[0006] Based on the spectral data of the water body in the water area to be detected and the optically active water environment parameters acquired at long time intervals, a preset first function is corrected to obtain a corrected first function, wherein the corrected first function includes a correspondence between the spectral data of the water body in the water area to be detected and the optically active water environment parameters;

[0007] Based on the non-optically active water environment parameters, water environment physical data, and optically active water environment parameters of the water body in the water area to be detected acquired at long time intervals, a preset second function is corrected to obtain a corrected second function; wherein the water environment physical data includes: temperature, pH value, redox potential, and dissolved oxygen; the non-optically active water environment parameters include: total phosphorus, total nitrogen, and chemical oxygen demand; the optically active water environment parameters include: chlorophyll concentration, suspended solids concentration, and colored soluble organic matter; the corrected second function includes a correspondence between the non-optically active water environment parameters of the water body in the water area to be detected and the optically active water environment parameters and the water environment physical data;

[0008] The spectral data of the water body to be detected acquired at short time intervals are used as input and substituted into the modified first function to obtain the optically active water environment parameters of the water body to be detected at the corresponding short time intervals;

[0009] Taking the water environment physical data of the water body to be detected acquired at short time intervals as input, synthesizing the optically active water environment parameters of the water body to be detected at the short time intervals, substituting them into the modified second function, and determining the non-optically active water environment parameters of the water body to be detected at the corresponding short time intervals;

[0010] The flow data of the water area to be detected obtained at short time intervals is used as input, and combined with the non-optically active water environment parameters of the water body in the water area to be detected at the short time intervals, a time-based integral is constructed, and the result is used as the flux of the non-optically active water environment parameters of the water area to be detected.

[0011] Optionally, before the step of using the flow data of the water area to be detected acquired at short time intervals as input, combining the non-optically active water environment parameters of the water body in the water area to be detected at the short time intervals, constructing a time-based integral, and using the result as the flux of the non-optically active water environment parameters of the water area to be detected, the method further includes:

[0012] According to the preset short time intervals, the flow rate of the water area to be detected is measured using a standard water tank to obtain the flow rate data of the water area to be detected at short time intervals.

[0013] Optionally, the flow rate of the water area to be tested is measured using a standard water tank at a preset time interval to obtain flow rate data of the water area to be tested at short time intervals, including:

[0014] Pump the water from the water area to be tested into the preset standard water tank in real time;

[0015] Obtaining the water level of the water sample in the standard water tank at preset short time intervals;

[0016] The water level height of the water sample in the standard water tank obtained each time is used as input and substituted into the preset third function to obtain the flow data of the water area to be tested each time; wherein, the third function includes the corresponding relationship between the water level height of the water sample in the standard water tank and the flow data.

[0017] Optionally, the second function satisfies the following:

[0018] ,

[0019] , ,

[0020] Where, It is the functional relationship between temperature, pH value, redox potential, dissolved oxygen, chlorophyll, suspended solids concentration, colored soluble organic matter and total phosphorus; It is the functional relationship between temperature, pH value, redox potential, dissolved oxygen, chlorophyll, suspended solids concentration, colored soluble organic matter and total phosphorus; It is the functional relationship of temperature, pH value, redox potential, dissolved oxygen, chlorophyll, suspended solids concentration, colored soluble organic matter and total nitrogen; It is the functional correspondence between temperature, pH value, redox potential, dissolved oxygen, chlorophyll, suspended solids concentration, colored soluble organic matter and chemical oxygen demand.

[0021] On the other hand, the present application proposes a non-optically active water environment parameter flux monitoring system based on hyperspectral detection, comprising:

[0022] a first function correction unit, configured to correct a preset first function based on the spectral data of the water body in the water area to be detected and the optically active water environment parameters acquired at long time intervals, to obtain a corrected first function, wherein the corrected first function includes a correspondence between the spectral data of the water body in the water area to be detected and the optically active water environment parameters;

[0023] a second function correction unit, configured to correct a preset second function based on non-optically active water environment parameters, water environment physical data, and optically active water environment parameters of the water body in the water area to be detected, obtained at long time intervals, to obtain a corrected second function; wherein the water environment physical data includes: temperature, pH value, redox potential, and dissolved oxygen; the non-optically active water environment parameters include: total phosphorus, total nitrogen, and chemical oxygen demand; the optically active water environment parameters include: chlorophyll concentration, suspended solids concentration, and colored soluble organic matter; and the corrected second function includes a correspondence between the non-optically active water environment parameters of the water body in the water area to be detected and the optically active water environment parameters and water environment physical data;

[0024] A first data acquisition unit is configured to take the spectral data of the water body to be detected acquired at short time intervals as input, substitute the data into the corrected first function, and obtain the optically active water environment parameters of the water body to be detected at the corresponding short time intervals;

[0025] a second data acquisition unit, configured to take the water environment physical data of the water body to be detected acquired at short time intervals as input, synthesize the optically active water environment parameters of the water body to be detected at the short time intervals, substitute the data into the corrected second function, and determine the non-optically active water environment parameters of the water body to be detected at the corresponding short time intervals;

[0026] The result output unit is used to take the flow data of the water area to be detected obtained at short time intervals as input, combine it with the non-optically active water environment parameters of the water body in the water area to be detected at the short time intervals, construct a time-based integration, and use the result as the flux of the non-optically active water environment parameters of the water area to be detected.

[0027] Optionally, also include:

[0028] The flow data acquisition unit is used to measure the flow of the water area to be detected using a standard water tank according to a preset short time interval, and obtain the flow data of the water area to be detected at a short time interval.

[0029] Optionally, the traffic data acquisition unit includes:

[0030] The water extraction module is used to pump the water in the water area to be tested into a preset standard water tank in real time;

[0031] A water level measurement module, used to obtain the water level of the water sample in the standard water tank according to a preset short time interval;

[0032] The flow output module is used to take the water level of the water sample obtained in each standard water tank as input and substitute it into a preset third function to obtain the flow data of the water area to be tested each time; wherein the third function includes the corresponding relationship between the water level of the water sample in the standard water tank and the flow data. Optionally, the second function satisfies the following:

[0033] ,

[0034] , ,

[0035] Where, It is the functional relationship between temperature, pH value, redox potential, dissolved oxygen, chlorophyll, suspended solids concentration, colored soluble organic matter and total phosphorus; It is the functional relationship of temperature, pH value, redox potential, dissolved oxygen, chlorophyll, suspended solids concentration, colored soluble organic matter and total nitrogen; It is the functional correspondence between temperature, pH value, redox potential, dissolved oxygen, chlorophyll, suspended solids concentration, colored soluble organic matter and chemical oxygen demand.

[0036] In another aspect, the present application provides an electronic device, comprising: at least one processor and a memory; the memory and the processor are connected via a bus;

[0037] The memory is used to store one or more programs;

[0038] When the one or more programs are executed by the at least one processor, the non-optically active water environment parameter flux monitoring method based on hyperspectral detection as described in the above technical solution is implemented.

[0039] On the other hand, the present application provides a readable storage medium, characterized in that an execution program is stored thereon, and when the execution program is executed, the non-optically active water environment parameter flux monitoring method based on hyperspectral detection as described in the above technical solution is implemented.

[0040] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0041] In the method provided in the embodiment of the present application, spectral data of a water body in a water area to be detected acquired at short time intervals is used as an input parameter, and a modified first function is used to obtain optically active water environment parameters of the water body in the water area to be detected at short time intervals. Furthermore, the water environment physical data of the water body in the water area to be detected acquired at short time intervals is combined with a modified second function to obtain non-optically active water environment parameters of the water body in the water area to be detected at short time intervals. Based on the non-optically active water environment parameters in the water area to be detected at short time intervals and the flow data of the water area to be detected, a time integral is constructed to obtain the flux of the non-optically active water environment parameters of the water area to be detected at short time intervals. This application effectively solves the problem in the prior art of difficulty in obtaining changes in non-optically active water environment parameters in the water area to be detected in real time, and overcomes the drawback of the difficulty in monitoring the water environment in the water area to be detected.

[0042] At the same time, the method provided in the present application also uses the spectral data and optically active water environment parameters of the water body in the water area to be detected obtained at long time intervals to correct the first function, thereby realizing the correction of the first function and reducing the error between the spectral data and the optically active water environment parameters of the water body in the water area to be detected caused by external factors during the long-term monitoring of the water area to be detected; furthermore, the optically active water environment parameters, water environment physical data and non-optically active water environment parameters of the water body in the water area to be detected obtained at long time intervals are also used to correct the second function, effectively reducing the error between the non-optically active water environment parameters of the water body in the water area to be detected and the optically active water environment parameters and water environment physical data, thereby improving the reliability and accuracy of obtaining the flux of non-optically active water environment parameters of the water body in the water area to be detected, and being able to provide data support for studying the environment of the water area to be detected. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following is a brief introduction to the drawings required for use in the description of the embodiments of the present application. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0044] Figure 1 A flow chart of a method for monitoring flux of non-optically active water environment parameters based on hyperspectral detection provided in an embodiment of the present application;

[0045] Figure 2 An overall flow chart of a method for monitoring flux of non-optically active water environment parameters based on hyperspectral detection provided in an embodiment of the present application;

[0046] Figure 3 A comparison chart of the prediction accuracy of total nitrogen obtained by a non-optically active water environment parameter flux monitoring method based on hyperspectral detection provided in an embodiment of the present application;

[0047] Figure 4 A comparative chart showing the prediction accuracy of chemical oxygen demand obtained by a non-optically active water environment parameter flux monitoring method based on hyperspectral detection provided in an embodiment of the present application;

[0048] Figure 5 A structural diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0050] In the description of the embodiments of the present application, it should be noted that the terms "center", "up", "down", "left", "right", "vertical", "horizontal", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings. They are only for the convenience of describing the embodiments of the present application and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, they cannot be understood as limitations on the present application. The terms "first", "second", and "third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, the terms "installed", "connected", and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or an indirect connection through an intermediate medium, or it can be a connection between the two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the embodiments of the present application can be understood according to the specific circumstances.

[0051] Reference Figure 1 and Figure 2 As shown, in some embodiments, the present application provides a method for monitoring flux of non-optically active water environment parameters based on hyperspectral detection, which includes:

[0052] S101, based on spectral data of a water body in a to-be-detected water area and optically active water environment parameters acquired at long time intervals, correcting a preset first function to obtain a corrected first function, wherein the corrected first function includes a correspondence between the spectral data of the water body in the to-be-detected water area and the optically active water environment parameters;

[0053] S102, based on the non-optically active water environment parameters, water environment physical data, and optically active water environment parameters of the water body in the water area to be tested, acquired at long time intervals, correcting a preset second function to obtain a corrected second function; wherein the water environment physical data includes temperature, pH value, redox potential, and dissolved oxygen; the non-optically active water environment parameters include total phosphorus, total nitrogen, and chemical oxygen demand; and the optically active water environment parameters include chlorophyll concentration, suspended solids concentration, and colored soluble organic matter; the corrected second function includes a correspondence between the non-optically active water environment parameters of the water body in the water area to be tested, the optically active water environment parameters, and the water environment physical data;

[0054] S103, using the spectral data of the water body to be detected acquired at short time intervals as input, substituting it into the corrected first function, and obtaining the optically active water environment parameters of the water body to be detected at the corresponding short time intervals;

[0055] S104, using the water environment physical data of the water body to be detected acquired at short time intervals as input, synthesizing the optically active water environment parameters of the water body to be detected at the short time intervals, substituting the data into the modified second function, and determining the corresponding non-optically active water environment parameters of the water body to be detected at the short time intervals;

[0056] S105, taking the flow data of the water area to be detected obtained at short time intervals as input, combining it with the non-optically active water environment parameters of the water body in the water area to be detected at the short time intervals, constructing a time-based integral, and taking the result as the non-optically active water environment parameter flux of the water area to be detected.

[0057] Hyperspectral detection identifies and analyzes surface objects by acquiring spectral information of objects in multiple narrow bands, which can effectively improve the efficiency of monitoring the ecological environment of water bodies, and also reduce the cost of manual and continuous monitoring of the water environment by staff. When applied to the technical field of ecological environment monitoring, by analyzing the spectral characteristics of water bodies through hyperspectral detection, the convenience of monitoring ecological environments such as water pollution is greatly improved.

[0058] When studying the optically active water environment parameters of the water body in the water area to be tested, the spectral data of the water body in the water area to be tested is obtained, and then the optically active water environment parameters of the current water body are determined. However, due to the influence of temperature or season on the water area, the error between the spectral data of the water body to be tested and the optically active water environment parameters will be affected.

[0059] In order to reduce errors, the spectral data and optically active water environment parameters of the water body in the water area to be detected obtained at long time intervals are used to correct the first function of the spectral data and optically active water environment parameters of the water body in the water area to be detected, so as to reduce the error between the spectral data and the optically active water environment parameters of the water body in the water area to be detected caused by long-term detection of the water area to be detected.

[0060] At present, the short time interval corresponding to the spectral data collected in the water area to be tested is usually per second, that is, the spectral data collected are all second-level data, and the optically active water environment obtained after analysis of the collected second-level spectral data is also second-level data. The spectral data of the water body in the water area to be tested at a long time interval can be obtained by sampling based on the spectral data of the water body in the water area to be tested at a short time interval, and the optically active water environment parameters of the water body in the water area to be tested at a long time interval are measured using the national standard method. It is possible to correct the first function to ensure that the functional correspondence between the spectral data of the water body in the water area to be tested and the optically active water environment parameters meets the current application scenario of the water area to be tested. The first function includes the optically active water environment parameters of the water body in the water area to be tested measured using the national standard method as output parameters, and the spectral data of the water body in the water area to be tested at the corresponding moment as input parameters, and the corresponding relationship is constructed to represent the correspondence between the spectral data of the water body in the water area to be tested and the optically active water environment parameters.

[0061] In the process of obtaining the non-optically active water environmental parameters of the water area to be tested, it is necessary to transport the collected water samples of the water area to the laboratory for testing, and use the national standard method to test the collected water samples, so as to obtain the non-optically active water environmental parameters such as total phosphorus, total nitrogen and chemical oxygen demand of the water area. Since the process of obtaining the non-optically active water environmental parameters by the national standard method is relatively complicated, the non-optically active water environmental parameters of the water sample can usually be obtained 4 hours after sampling. Under normal circumstances, the water station usually collects and measures the water sample of the water area to be tested once a month or ten days. Therefore, the efficiency of obtaining the non-optically active water environmental parameters of the water sample of the water area to be tested disclosed in the prior art is low, and it is difficult to meet the research requirements of real-time testing of the water area to be tested.

[0062] To ensure real-time acquisition of the non-optically active water environment parameters of the water body to be tested, the non-optically active water environment parameters of the water body to be tested are obtained using national standard methods as output values, and the optically active water environment parameters and water environment physical data of the water body to be tested are used as input values to obtain a second function related to the non-optically active water environment parameters of the water body to be tested. Using the optically active water environment parameters and water environment physical data of the water body to be tested, real-time estimation of the non-optically active water environment data is achieved. When acquiring water environment physical data of the water body to be tested, an electrode method is typically used to analyze water samples in the water body to obtain water environment physical data such as temperature, pH value, redox potential, and dissolved oxygen. The short time interval for acquiring water environment physical data of the water body to be tested using the electrode method is typically also per second. Therefore, the water environment physical data obtained from the water body to be tested is essentially second-level data. Water environment physical data of the water body to be tested at long time intervals can be obtained by sampling based on water environment physical data of the water body to be tested at short time intervals.

[0063] Exemplarily, after obtaining the non-optically active water environment parameters of the water area, based on the sampling time of the non-optically active water environment parameters of the water area, the water environment physical data and optically active water environment parameters of the water body in the same water area at the corresponding time are obtained, the water environment physical data and optically active water environment parameters of the water body in the water area to be detected are used as independent variables, and the non-optically active water environment parameters of the water body in the water area to be detected are established as dependent variables, and a second function is established. The expression of the second function is as follows:

[0064] ,

[0065] , ,

[0066] Where, It is the functional relationship between temperature, pH value, redox potential, dissolved oxygen, chlorophyll, suspended solids concentration, colored soluble organic matter and total phosphorus; It is a function of temperature, pH, redox potential, dissolved oxygen, chlorophyll, suspended solids concentration, colored soluble organic matter and total nitrogen; It is a function of temperature, pH value, redox potential, dissolved oxygen, chlorophyll, suspended solids concentration, colored soluble organic matter and chemical oxygen demand.

[0067] On the basis of the above-mentioned second function, the water environment physical data and optically active water environment parameters of the water body in the water area to be detected obtained at short time intervals are used as input parameters to obtain the total phosphorus, total nitrogen and chemical oxygen demand in the water body in the water area to be detected at the corresponding short time intervals, as the non-optically active water environment parameters of the water body in the water area to be detected at the short time intervals, and the second-level data of the non-optically active water environment parameters of the water body in the water area to be detected are obtained.

[0068] The second function is corrected using the optically active water environment parameters, water environment physical data and non-optically active water environment parameters of the water body in the water area to be tested obtained at long time intervals, which effectively reduces the error between the non-optically active water environment parameters of the water body in the water area to be tested and the optically active water environment parameters and water environment physical data. This can not only improve the convenience of obtaining the flux of non-optically active water environment parameters of the water body in the water area to be tested, but also provide more accurate data support for studying the environment of the water area to be tested.

[0069] By utilizing the first function, combined with the spectral data of the water body in the water area to be detected recorded at short time intervals (seconds), it is convenient to obtain the optically active water environment parameters of the water body in the water area to be detected at short time intervals (seconds); by utilizing the second function, combined with the water environment physical data and optically active water environment parameters of the water body in the water area to be detected obtained at short time intervals (seconds), it is convenient to obtain the non-optically active water environment parameters of the water body in the water area to be detected at short time intervals (seconds), thereby improving the convenience of obtaining the non-optically active water environment parameters of the water body in the water area to be detected. Compared with the current measurement of the optically active water environment parameters or non-optically active water environment parameters of the water body in the water area to be detected every month or ten days, the detection cost is lower; at the same time, by utilizing the obtained optically active water environment parameters or non-optically active water environment parameters of the water body in the water area to be detected, the monitoring accuracy of the flux of non-optically active water environment parameters of the water area to be detected is further improved.

[0070] like Figure 3 and Figure 4 As shown, taking the total nitrogen and chemical oxygen demand of non-optically active substances as examples, the non-optically active water environment parameters calculated according to the second function of non-optically active water environment parameters, optically active water environment parameters and water environment physical data in this application document, the algorithm correlation coefficient of total nitrogen and chemical oxygen demand was improved from less than 0.79 to better than 0.86. Compared with the measured values, the average absolute percentage errors were reduced to 3.82% and 3.17% respectively, and the estimation accuracy was greatly improved.

[0071] The non-optically active water environmental parameters obtained for the water body in the water area to be tested are essentially the mass of total nitrogen, total phosphorus, and chemical oxygen demand contained per unit volume of the water body in the water area to be tested. Therefore, the units of the non-optically active water environmental parameters of the water body in the water area to be tested are essentially mass concentration units; and the flux of the non-optically active water environmental parameters of the corresponding water body is essentially the mass of total nitrogen, total phosphorus, and chemical oxygen demand contained per unit area per unit time, and the flow data driving the tested water area is essentially the volume of water passing through a unit area of the water area in unit time. By constructing an integral with respect to time based on the non-optically active water environmental parameters at short time intervals (seconds) and the flow data at short time intervals, the required flux of the non-optically active water environmental parameters for the water area to be tested at short time intervals can be obtained.

[0072] Therefore, by constructing an integral about time based on the non-optically active water environmental parameters at short time intervals and the flow data at short time intervals, the non-optically active water environmental parameters contained in the water body per unit area of the water area to be detected with the short time interval as the sampling interval can be obtained, that is, the flux of the non-optically active water environmental parameters of the water area. The obtained flux of the non-optically active water environmental parameters can facilitate subsequent further detection of the water body in the water area and provide data support for the environmental research of the water area.

[0073] In some embodiments, before the step of constructing a time-based integral based on the non-optically active water environment parameter and flow rate data of the water body to be detected at short time intervals as sampling intervals, and using the integral result as the flux of the non-optically active water environment parameter of the water body to be detected, the method provided by the present application further includes:

[0074] The flow rate of the water area to be tested is measured using a standard water tank with a short time interval as the sampling interval to obtain the flow rate data of the water area to be tested.

[0075] For example, the standard water flume can be implemented as a Parshall flume, which is an auxiliary equipment for assisting open channel flow measurement. It measures the flow of the water area to be tested by monitoring the water level of the overflow. Its working principle is based on the correspondence between the geometric size changes of the water flow through its own flume body and the water level flow.

[0076] Measuring the flow data of the water area through a standard water flume is intuitive and efficient, and can obtain second-level data of the flow data of the corresponding water area, thereby facilitating the calculation of the flux of the non-optically active water environment parameters of the corresponding water area.

[0077] In some embodiments, the detection is performed at preset time intervals, and the flow rate of the water area to be detected is measured using a standard water tank to obtain the flow rate data of the water area to be detected at short time intervals, including:

[0078] Pump the water from the water area to be tested into the preset standard water tank in real time;

[0079] Obtaining the water level of the water sample in the standard water tank at preset short time intervals;

[0080] The water level height of the water sample in the standard water tank obtained each time is used as input and substituted into the preset third function to obtain the flow data of the water area to be tested each time; wherein, the third function includes the corresponding relationship between the water level height of the water sample in the standard water tank and the flow data.

[0081] Since the shape of the standard water tank is fixed, the relationship between the water level in the standard water tank and the flow rate of the water area is also definite and unique. By reading the water level height of the water body in the standard water tank, the flow data of the corresponding water area can be accurately obtained.

[0082] In some embodiments, in order to improve the representativeness of the water samples obtained from the water area to be tested, before obtaining the spectral data, water environment physical data, non-optically active water environment parameters, and optically active water environment parameters of the water body to be tested at long time intervals, the method provided by the present application further includes:

[0083] Water samples at multiple depths are collected from the water area to be tested, and the water samples at multiple depths are mixed to obtain the water sample to be tested. The water sample to be tested is used to obtain spectral data, water environment physical data, non-optically active water environment parameters and optically active water environment parameters of the water body in the water area to be tested.

[0084] Exemplarily, water bodies of different depths in the water area to be tested are obtained by actively pumping water using a water pump, and the collected water bodies are mixed to obtain water samples to be tested for measuring spectral data, optically active water environment parameters, non-optically active water environment parameters and water environment physical data.

[0085] By obtaining and mixing water samples at different depths in the water area to be tested, and using the obtained water samples to be tested for measurement, spectral data and environmental data can be obtained. This can improve the representativeness of the spectral data, optically active water environmental parameters, non-optically active water environmental parameters and water environment physical data of the water area, and reduce the errors generated in the subsequent estimation process.

[0086] Furthermore, collecting water bodies at multiple depths in the water area to be tested and mixing them to form water samples to be tested is also applicable to the steps of obtaining spectral data and water environment physical data at short time intervals.

[0087] On the other hand, the present application proposes a non-optically active water environment parameter flux monitoring system based on hyperspectral detection, comprising:

[0088] a first function correction unit, configured to correct a preset first function based on the spectral data of the water body in the water area to be detected and the optically active water environment parameters acquired at long time intervals, to obtain a corrected first function, wherein the corrected first function includes a correspondence between the spectral data of the water body in the water area to be detected and the optically active water environment parameters;

[0089] a second function correction unit, configured to correct a preset second function based on non-optically active water environment parameters, water environment physical data, and optically active water environment parameters of the water body in the water area to be detected, obtained at long time intervals, to obtain a corrected second function; wherein the water environment physical data includes: temperature, pH value, redox potential, and dissolved oxygen; the non-optically active water environment parameters include: total phosphorus, total nitrogen, and chemical oxygen demand; the optically active water environment parameters include: chlorophyll concentration, suspended solids concentration, and colored soluble organic matter; and the corrected second function includes a correspondence between the non-optically active water environment parameters of the water body in the water area to be detected and the optically active water environment parameters and water environment physical data;

[0090] A first data acquisition unit is configured to take the spectral data of the water body to be detected acquired at short time intervals as input, substitute the data into the corrected first function, and obtain the optically active water environment parameters of the water body to be detected at the corresponding short time intervals;

[0091] a second data acquisition unit, configured to take the water environment physical data of the water body to be detected acquired at short time intervals as input, synthesize the optically active water environment parameters of the water body to be detected at the short time intervals, substitute the data into the corrected second function, and determine the non-optically active water environment parameters of the water body to be detected at the corresponding short time intervals;

[0092] The result output unit is used to take the flow data of the water area to be detected obtained at short time intervals as input, combine it with the non-optically active water environment parameters of the water body in the water area to be detected at the short time intervals, construct a time-based integration, and use the result as the flux of the non-optically active water environment parameters of the water area to be detected.

[0093] Optionally, also include:

[0094] The flow data acquisition unit is used to measure the flow of the water area to be detected using a standard water tank according to a preset short time interval, and obtain the flow data of the water area to be detected at a short time interval.

[0095] Optionally, the traffic data acquisition unit includes:

[0096] The water extraction module is used to pump the water in the water area to be tested into a preset standard water tank in real time;

[0097] A water level measurement module, used to obtain the water level of the water sample in the standard water tank according to a preset short time interval;

[0098] The flow output module is used to take the water level height of the water sample obtained in the standard water tank each time as input, and substitute it into the preset third function to obtain the flow data of the water area to be tested each time; wherein, the third function includes the correspondence between the water level height of the water sample in the standard water tank and the flow data.

[0099] Optionally, the second function satisfies the following:

[0100] ,

[0101] , ,

[0102] Where, It is the functional relationship between temperature, pH value, redox potential, dissolved oxygen, chlorophyll, suspended solids concentration, colored soluble organic matter and total phosphorus; It is the functional relationship of temperature, pH value, redox potential, dissolved oxygen, chlorophyll, suspended solids concentration, colored soluble organic matter and total nitrogen; It is the functional correspondence between temperature, pH value, redox potential, dissolved oxygen, chlorophyll, suspended solids concentration, colored soluble organic matter and chemical oxygen demand.

[0103] In some embodiments, as Figure 5 As shown, the present application also provides an electronic device, which may be a computer device, a single-chip microcomputer device, a smart mobile device, etc. The electronic device in this embodiment may include a processor, a memory, a transceiver component, etc. The memory, processor, and transceiver component are connected via a bus; the memory may be used to store an execution program, which may include instructions; and the processor is used to execute the instructions stored in the memory. The memory may also be used to store data, which may be accessed and / or modified during the execution of the instructions.

[0104] The processor may be a central processing unit (CPU), or it may be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in a storage medium to implement the corresponding method flow or corresponding function, so as to realize the steps of a non-optically active water environment parameter flux monitoring method in the above embodiment.

[0105] In some embodiments, based on the same inventive concept, the present application further provides a readable storage medium, specifically an electronic device-readable storage medium (Memory). The electronic device-readable storage medium is a memory device within the electronic device, used to store programs and data. It is understood that the storage medium herein may include both built-in storage media within the electronic device and, of course, extended storage media supported by the electronic device. The storage medium provides storage space, which stores the terminal's operating system. Furthermore, this storage space also stores one or more instructions suitable for being loaded and executed by a processor. These instructions may be one or more executable programs (including program code). It should be noted that the storage medium herein may be high-speed RAM memory or non-volatile memory, such as at least one disk drive. The processor loading and executing one or more instructions stored in the storage medium can implement the steps of a method for monitoring flux of a non-optically active water environment parameter in the above-described embodiment.

[0106] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other. Each embodiment focuses on the differences from other embodiments.

[0107] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit the present application. Although the present application has been described in detail with reference to the aforementioned embodiments, a person of ordinary skill in the art should understand that the technical solutions described in the aforementioned embodiments can still be modified, or some or all of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the present application.

Claims

1. A method for monitoring the flux of non-optically active water environment parameters based on hyperspectral detection, characterized in that: include: Based on the spectral data of the water body in the water area to be detected and the optically active water environment parameters acquired at long time intervals, a preset first function is corrected to obtain a corrected first function, wherein the corrected first function includes a correspondence between the spectral data of the water body in the water area to be detected and the optically active water environment parameters; Based on the non-optically active water environment parameters, water environment physical data, and optically active water environment parameters of the water body in the water area to be detected acquired at long time intervals, a preset second function is corrected to obtain a corrected second function; wherein the water environment physical data includes: temperature, pH value, redox potential, and dissolved oxygen; the non-optically active water environment parameters include: total phosphorus, total nitrogen, and chemical oxygen demand; the optically active water environment parameters include: chlorophyll concentration, suspended solids concentration, and colored soluble organic matter; the corrected second function includes a correspondence between the non-optically active water environment parameters of the water body in the water area to be detected and the optically active water environment parameters and the water environment physical data; The spectral data of the water body to be detected acquired at short time intervals are used as input and substituted into the modified first function to obtain the optically active water environment parameters of the water body to be detected at the corresponding short time intervals; Taking the water environment physical data of the water body to be detected acquired at short time intervals as input, synthesizing the optically active water environment parameters of the water body to be detected at the short time intervals, substituting them into the modified second function, and determining the non-optically active water environment parameters of the water body to be detected at the corresponding short time intervals; Using the flow data of the water area to be detected acquired at short time intervals as input, combined with the non-optically active water environment parameters of the water body of the water area to be detected at said short time intervals, constructing a time-based integral, and using the result as the flux of the non-optically active water environment parameters of the water area to be detected; The second function satisfies the following: ， ， ， Where, It is the functional relationship between temperature, pH value, redox potential, dissolved oxygen, chlorophyll, suspended solids concentration, colored soluble organic matter and total phosphorus; It is the functional relationship of temperature, pH value, redox potential, dissolved oxygen, chlorophyll, suspended solids concentration, colored soluble organic matter and total nitrogen; It is the functional relationship between temperature, pH value, redox potential, dissolved oxygen, chlorophyll, suspended solids concentration, colored soluble organic matter and chemical oxygen demand; Before the step of using the flow data of the water area to be detected acquired at short time intervals as input, combining the non-optically active water environment parameters of the water body in the water area to be detected at short time intervals, constructing a time-based integral, and using the result as the flux of the non-optically active water environment parameters of the water area to be detected, the method further includes: According to the preset short time intervals, the flow rate of the water area to be tested is measured using a standard water tank to obtain the flow rate data of the water area to be tested at short time intervals; The detection is performed at preset time intervals, and the flow rate of the water area to be detected is measured using a standard water tank to obtain the flow rate data of the water area to be detected at short time intervals, including: Pump the water from the water area to be tested into the preset standard water tank in real time; Obtaining the water level of the water sample in the standard water tank at preset short time intervals; The water level height of the water sample in the standard water tank obtained each time is used as input and substituted into the preset third function to obtain the flow data of the water area to be tested each time; wherein, the third function includes the corresponding relationship between the water level height of the water sample in the standard water tank and the flow data.

2. A non-optically active water environment parameter flux monitoring system based on hyperspectral detection, characterized in that: include: a first function correction unit, configured to correct a preset first function based on the spectral data of the water body in the water area to be detected and the optically active water environment parameters acquired at long time intervals, to obtain a corrected first function, wherein the first function includes a correspondence between the spectral data of the water body in the water area to be detected and the optically active water environment parameters; a second function correction unit, configured to correct a preset second function based on non-optically active water environment parameters, water environment physical data, and optically active water environment parameters of a water body in the water area to be detected, obtained at long time intervals, to obtain a corrected second function; wherein the water environment physical data includes temperature, pH value, redox potential, and dissolved oxygen; the non-optically active water environment parameters include total phosphorus, total nitrogen, and chemical oxygen demand; the optically active water environment parameters include chlorophyll concentration, suspended solids concentration, and colored soluble organic matter; and the second function includes a correspondence between the non-optically active water environment parameters of the water body in the water area to be detected and the optically active water environment parameters and the water environment physical data; A first data acquisition unit is configured to take the spectral data of the water body to be detected acquired at short time intervals as input, substitute the data into the corrected first function, and obtain the optically active water environment parameters of the water body to be detected at the corresponding short time intervals; a second data acquisition unit, configured to take the water environment physical data of the water body to be detected acquired at short time intervals as input, synthesize the optically active water environment parameters of the water body to be detected at the short time intervals, substitute the data into the corrected second function, and determine the non-optically active water environment parameters of the water body to be detected at the corresponding short time intervals; A result output unit is configured to take the flow rate data of the water body to be detected acquired at short time intervals as input, combine the non-optically active water environment parameters of the water body to be detected at the short time intervals, construct a time-based integral, and use the result as the flux of the non-optically active water environment parameters of the water body to be detected; The second function satisfies the following: ， ， ， Where, It is the functional relationship between temperature, pH value, redox potential, dissolved oxygen, chlorophyll, suspended solids concentration, colored soluble organic matter and total phosphorus; It is the functional relationship of temperature, pH value, redox potential, dissolved oxygen, chlorophyll, suspended solids concentration, colored soluble organic matter and total nitrogen; It is the functional correspondence between temperature, pH value, redox potential, dissolved oxygen, chlorophyll, suspended solids concentration, colored soluble organic matter and chemical oxygen demand.

3. The system according to claim 2, characterized in that Also includes: The flow data acquisition unit is used to measure the flow of the water area to be detected using a standard water tank according to a preset short time interval, and obtain the flow data of the water area to be detected at a short time interval.

4. The system according to claim 3, characterized in that The flow data acquisition unit includes: The water extraction module is used to pump the water in the water area to be tested into a preset standard water tank in real time; A water level measurement module, used to obtain the water level of the water sample in the standard water tank according to a preset short time interval; The flow output module is used to take the water level height of the water sample obtained in the standard water tank each time as input, and substitute it into the preset third function to obtain the flow data of the water area to be tested each time; wherein, the third function includes the correspondence between the water level height of the water sample in the standard water tank and the flow data.

5. An electronic device, characterized in that: include: at least one processor and memory; The memory and the processor are connected via a bus; The memory is used to store one or more programs; When the one or more programs are executed by the at least one processor, the non-optically active water environment parameter flux monitoring method based on hyperspectral detection as claimed in claim 1 is implemented.

6. A readable storage medium, characterized in that: An execution program is stored thereon, and when the execution program is executed, the non-optically active water environment parameter flux monitoring method based on hyperspectral detection as claimed in claim 1 is implemented.

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