Disclosure of Invention
The invention aims to overcome the defect and the problem of inaccurate correction of multispectral reflectivity data in the prior art, and provides an all-weather spectrum positioning measurement method and device for an aquatic ecological environment, wherein the correction of the multispectral reflectivity data is accurate.
In order to achieve the above object, the technical solution of the present invention is:
an all-weather spectral positioning measurement method for an aquatic ecological environment, the method comprising the following steps:
Firstly, monitoring a water body to obtain initial water quality parameters, solar radiance data and initial multispectral data of the water body;
The second step, pre-processing the initial water quality parameters to obtain water quality parameters, pre-processing the initial multispectral data to obtain multispectral data, and calculating the ratio of the target reflection amplitude intensity in the multispectral data to the incident radiation intensity in the solar radiance data to obtain multispectral reflectivity data;
Firstly, according to solar radiation degree data, selecting water quality parameters and multispectral reflectivity data under the normal light intensity condition of a sunny day in real time, and then introducing linear regression, polynomial regression, support vector machine regression, random forest or neural network to establish a standard spectrum correction model corresponding to the spectral reflectivity of each wave band in the multispectral reflectivity data and the water quality parameters;
Collecting actual water quality parameters, actual solar radiation degree data and actual multispectral reflectance data under different weather conditions, then using the actual water quality parameters under different weather conditions to be brought into a standard spectrum correction model to obtain theoretical multispectral reflectance data, then obtaining the ratio of the theoretical multispectral reflectance data to the actual multispectral reflectance data to obtain a water quality correction factor, and dividing the solar radiation degree data under sunny conditions by the actual solar radiation degree data under different weather conditions to obtain the solar radiation degree correction factor;
Step five, multiplying the standard spectrum correction model with a water quality correction factor and a solar radiance correction factor to obtain an all-weather spectrum correction model;
And step six, adding water quality parameters monitored in real time under different water quality conditions into the all-weather spectrum correction model, and outputting corrected multispectral reflectivity data by the all-weather spectrum correction model.
The device comprises a supporting rod, a water environment monitoring box, a solar radiometer and a remote sensing multispectral instrument, wherein one end of the supporting rod, which is close to the bottom, is connected with one side of a fixed ring, the other side of the fixed ring is connected with one end of a bottom bracket, the other end of the bottom bracket is connected with one end of the water environment monitoring box, one end of the supporting rod, which is close to the top, is connected with one end of a top bracket, and the other end of the top bracket is a measuring end;
the bottom of the solar radiometer is connected with the top of the measuring end, and the top of the remote sensing multispectral instrument is connected with the bottom of the measuring end.
The bottom support comprises a bottom transverse support and a bottom vertical support, one side of the bottom vertical support is connected with one side of the fixing ring, the other side of the bottom vertical support is vertically connected with one end of the bottom transverse support, and the bottom of the bottom transverse support is connected with the top of the water environment monitoring box.
The fixed ring comprises a first fixed ring and a second fixed ring, wherein the first fixed ring is connected with one end of the bottom vertical support close to the top, and the second fixed ring is connected with one end of the bottom vertical support close to the bottom.
The bottom vertical support is provided with a plurality of universal balls at the position between the first fixed ring and the second fixed ring, and one surface of each universal ball is connected with one surface of the supporting rod.
The top of the bottom transverse support is connected with one end of a connecting steel wire, the other end of the connecting steel wire is wound on an electric roller, and one end of the electric roller is connected with one end of a supporting rod.
The terminal control box is arranged at one end, close to the top, of the supporting rod, a storage battery and an analysis transmission module are arranged in the terminal control box, and a transmission antenna is inserted into the top of the terminal control box.
The top of bracing piece is connected with the bottom of thin support perpendicularly, the top of thin support is provided with solar panel.
The solar panel comprises a first solar panel and a second solar panel, one side of the first solar panel is connected with one side of the thin support, one side of the second solar panel is connected with the other side of the thin support, and the top of the second solar panel is perpendicular to the top of the first solar panel.
The bottom of the supporting rod is connected with one end of the large conical end, the diameter of the large conical end is the same as that of the supporting rod, one end of the large conical end far away from the supporting rod is connected with one end of the small conical end, and the diameter of the small conical end is smaller than that of the large conical end.
Compared with the prior art, the invention has the beneficial effects that:
1. The invention relates to an all-weather spectrum positioning measurement method and device for an aquatic ecological environment, which comprises the steps of firstly monitoring a water body, obtaining water quality parameters, solar radiation degree data and multispectral data, obtaining multispectral reflectance data through the multispectral data and the solar radiation degree data, then introducing a machine learning method to construct a standard spectrum correction model for a coupling relation between the water quality parameters and a single spectrum band in the multispectral reflectance data, then bringing the water quality parameters under different weather conditions into the standard spectrum correction model, obtaining theoretical multispectral reflectance data, obtaining the ratio of the theoretical multispectral reflectance data to the actual multispectral reflectance data, obtaining a water quality correction factor, calculating the ratio of the solar radiation degree data under the weather conditions to the solar radiation degree data under the different weather conditions, obtaining a solar radiation degree correction factor, multiplying the standard spectrum correction model, the water quality correction factor and the solar radiation degree correction factor to obtain an all-weather spectrum correction model, and inputting the actually measured water quality parameters into the spectrum correction model, namely obtaining corrected multispectral reflectance data under the weather conditions, and the method further comprises the following advantages:
The method comprises the steps of establishing a standard spectrum correction model by adopting water quality parameters and multispectral data due to mutual influence, obtaining correction factors under different weather conditions by using the water quality parameters and solar radiation data actually measured under different weather conditions, multiplying the standard spectrum correction model and the correction factors to establish an all-weather spectrum correction model, correcting the multispectral reflectance data by the all-weather spectrum correction model to obtain accurate multispectral reflectance data, correcting the multispectral reflectance data influenced by different weather conditions in real time, effectively avoiding errors caused by extreme conditions such as overcast and rainy weather, and the like, and correcting the multispectral reflectance data accurately, so that accurate multispectral reflectance data can be obtained, stability, continuity and accuracy of the multispectral reflectance data under different weather conditions are ensured, and reliable basic data can be provided for health assessment and water quality inversion of an aquatic ecology system;
The second point is that in the prior art, the gray plate only can correct the influence of illumination change on multispectral reflectivity data, but the change of components in the water body can also cause multispectral reflectivity data change, the gray plate can not correct the situation, the change of components in the water body can cause the change of water quality parameters, and the water quality parameters can correct the situation, so the invention has better matching property with the water body;
The third point is that after the all-weather spectrum correction model is obtained, the all-weather spectrum correction model can be adaptively corrected by utilizing the actually measured water quality parameters in different water environments, so that the correction accuracy can be further improved, and no extra laboratory measurement is needed, so that the use process is convenient;
therefore, the method has the advantages of accurate correction of multispectral reflectivity data and good matching performance with the water body.
2. The invention relates to an all-weather spectrum positioning measurement method and device for an aquatic environment, wherein the device comprises a supporting rod, a water environment monitoring box, a solar radiometer and a remote sensing multispectral instrument, wherein the supporting rod is sequentially connected with two fixing rings and a bottom support, the bottom support is connected with the water environment monitoring box, a universal ball is arranged on one surface of the bottom support, which is connected with the supporting rod, a connecting steel wire is arranged at one end of the bottom support, one end of the connecting steel wire is wound on an electric roller, the electric roller is fixed with the middle part of the supporting rod, the top of the supporting rod is connected with a top support, the top support is connected with the solar radiometer and the remote sensing multispectral instrument, when the device is applied, water environment monitoring box is used for measuring water quality parameters, solar radiometer is used for measuring multispectral data, the fixed rings enable the connection between the bottom support and the supporting rod to be stable, the connecting steel wire is driven by the connecting steel wire to move when the electric roller is rotated, and then the bottom support is driven by the bottom support to move, at the moment, friction force between the bottom vertical support and the supporting rod is reduced, therefore, the up-down movement effect of the water environment monitoring box is achieved, the water environment monitoring box can be located in different depths of water bodies, and better measurement effect is achieved. Therefore, the invention has better measuring effect on the water quality parameters.
3. The invention relates to an all-weather spectrum positioning measurement method and device for an aquatic ecological environment, wherein one end of a supporting rod is provided with a terminal control box, a storage battery and an analysis transmission module are arranged in the terminal control box, the top of the terminal control box is provided with a transmission antenna, the top of the supporting rod is provided with a thin bracket, a solar panel is arranged on the thin bracket, when the device is applied, solar light irradiates on the solar panel, the solar panel converts light energy into electric energy, the electric energy is introduced into the storage battery, and the storage battery is used for completing the power supply of the whole device, so that the device can run for a long time. Therefore, the invention has better long-term operation effect.
4. According to the all-weather spectrum positioning measurement method and device for the water ecological environment, the bottom of the supporting rod is connected with one end of the conical end, when the device is used, the bottom of the supporting rod is located in a water body, and the conical end helps the supporting rod to fix, so that the supporting rod is more stable in the water body. Therefore, the invention has better stability.
Detailed Description
The invention is described in further detail below with reference to the accompanying drawings and detailed description.
Referring to fig. 1-9, an all-weather spectrum positioning measurement method for an aquatic ecological environment includes the following steps:
Firstly, monitoring a water body 9 to obtain initial water quality parameters, solar radiation degree data and initial multispectral data of the water body 9;
The second step, pre-processing the initial water quality parameters to obtain water quality parameters, pre-processing the initial multispectral data to obtain multispectral data, and calculating the ratio of the target reflection amplitude intensity in the multispectral data to the incident radiation intensity in the solar radiance data to obtain multispectral reflectivity data;
Firstly, according to solar radiation degree data, selecting water quality parameters and multispectral reflectivity data under the normal light intensity condition of a sunny day in real time, and then introducing linear regression, polynomial regression, support vector machine regression, random forest or neural network to establish a standard spectrum correction model corresponding to the spectral reflectivity of each wave band in the multispectral reflectivity data and the water quality parameters;
Collecting actual water quality parameters, actual solar radiation degree data and actual multispectral reflectance data under different weather conditions, then using the actual water quality parameters under different weather conditions to be brought into a standard spectrum correction model to obtain theoretical multispectral reflectance data, then obtaining the ratio of the theoretical multispectral reflectance data to the actual multispectral reflectance data to obtain a water quality correction factor, and dividing the solar radiation degree data under sunny conditions by the actual solar radiation degree data under different weather conditions to obtain the solar radiation degree correction factor;
Step five, multiplying the standard spectrum correction model with a water quality correction factor and a solar radiance correction factor to obtain an all-weather spectrum correction model;
And step six, adding water quality parameters monitored in real time under different water quality conditions into the all-weather spectrum correction model, and outputting corrected multispectral reflectivity data by the all-weather spectrum correction model.
The device suitable for the all-weather spectrum positioning measurement method of the water ecological environment comprises a supporting rod 1, a water environment monitoring box 3, a solar radiometer 31 and a remote sensing multispectral meter 32, wherein one end of the supporting rod 1 close to the bottom is connected with one side of a fixed ring 4, the other side of the fixed ring 4 is connected with one end of a bottom bracket 5, the other end of the bottom bracket 5 is connected with one end of the water environment monitoring box 3, one end of the supporting rod 1 close to the top is connected with one end of a top bracket 21, and the other end of the top bracket 21 is a measuring end 22;
the bottom of the solar radiometer 31 is connected with the top of the measuring end 22, and the top of the remote sensing multispectral meter 32 is connected with the bottom of the measuring end 22.
The bottom bracket 5 comprises a bottom transverse bracket 51 and a bottom vertical bracket 52, one side of the bottom vertical bracket 52 is connected with one side of the fixed ring 4, the other side of the bottom vertical bracket 52 is vertically connected with one end of the bottom transverse bracket 51, and the bottom of the bottom transverse bracket 51 is connected with the top of the water environment monitoring box 3.
The fixing ring 4 comprises a first fixing ring 41 and a second fixing ring 42, wherein the first fixing ring 41 is connected with one end, close to the top, of the bottom vertical support 52, and the second fixing ring 42 is connected with one end, close to the bottom, of the bottom vertical support 52.
The bottom vertical support 52 is provided with a plurality of universal balls 53 at the position between the first fixing ring 41 and the second fixing ring 42, and one surface of the universal balls 53 is connected with one surface of the support rod 1.
The top of the bottom transverse bracket 51 is connected with one end of a connecting steel wire 6, the other end of the connecting steel wire 6 is wound on an electric roller 61, and one end of the electric roller 61 is connected with one end of the supporting rod 1.
The terminal control box 7 is arranged at one end, close to the top, of the supporting rod 1, a storage battery 71 and an analysis transmission module are arranged in the terminal control box 7, and a transmission antenna 72 is inserted into the top of the terminal control box 7.
The top of bracing piece 1 is connected with the bottom of thin support 8 perpendicularly, the top of thin support 8 is provided with solar panel 81.
The solar panel 81 includes a first solar panel 811 and a second solar panel 812, one side of the first solar panel 811 is connected with one side of the fine bracket 8, one side of the second solar panel 812 is connected with the other side of the fine bracket 8, and the top of the second solar panel 812 is perpendicular to the top of the first solar panel 811.
The bottom of the supporting rod 1 is connected with one end of a large conical end 12, the large conical end 12 has the same diameter as the supporting rod 1, one end of the large conical end 12 far away from the supporting rod 1 is connected with one end of a small conical end 13, and the diameter of the small conical end 13 is smaller than that of the large conical end 12.
The supplementary explanation of the present invention is as follows:
The water body 9 can be inland water bodies such as streams, rivers, ponds, marshes, wetlands, lakes, reservoirs and the like, or ocean water bodies such as bays, offshore, ocean and the like, wherein the water body 9 has different pollution levels and cleanliness, the water body 9 also has different water conditions such as different wind and wave degrees, different turbidity degrees, different water bloom degrees and the like, the water quality parameters of the water body 9 are monitored through the water environment monitoring box 3, the water environment monitoring box 3 can record information such as monitoring point position information, air temperature, humidity, water temperature, observation time and the like, the multispectral data of the water body 9 are monitored through the remote sensing multispectral instrument 32, the monitoring wave bands of the remote sensing multispectral instrument 32 are near infrared wave bands, red light wave bands, green light wave bands and blue light wave bands, and the length of the top support 21 is longer in order to ensure that the visual angle range of the remote sensing multispectral instrument 32 is larger.
The standard spectrum correction model is a mathematical model established by a computer technology and a computer method, input data of the model is divided into training set data and testing set data, the training set data and the testing set data comprise pretreated water quality parameters, solar radiance data, multispectral data and spectrum data of each wave band, model precision evaluation is carried out according to a determination coefficient, a root mean square error and an average relative error, and then the standard spectrum correction model corresponding to each wave band is selected.
The sunny conditions of the invention are that the sky is generally 9:00 to 11:00 in the morning and no cloud layer is blocked.
Example 1:
referring to fig. 1-9, an all-weather spectrum positioning measurement method for an aquatic ecological environment includes the following steps:
Firstly, monitoring a water body 9 to obtain initial water quality parameters, solar radiation degree data and initial multispectral data of the water body 9;
The second step, pre-processing the initial water quality parameters to obtain water quality parameters, pre-processing the initial multispectral data to obtain multispectral data, and calculating the ratio of the target reflection amplitude intensity in the multispectral data to the incident radiation intensity in the solar radiance data to obtain multispectral reflectivity data;
Firstly, according to solar radiation degree data, selecting water quality parameters and multispectral reflectivity data under the normal light intensity condition of a sunny day in real time, and then introducing linear regression, polynomial regression, support vector machine regression, random forest or neural network to establish a standard spectrum correction model corresponding to the spectral reflectivity of each wave band in the multispectral reflectivity data and the water quality parameters;
Collecting actual water quality parameters, actual solar radiation degree data and actual multispectral reflectance data under different weather conditions, then using the actual water quality parameters under different weather conditions to be brought into a standard spectrum correction model to obtain theoretical multispectral reflectance data, then obtaining the ratio of the theoretical multispectral reflectance data to the actual multispectral reflectance data to obtain a water quality correction factor, and dividing the solar radiation degree data under sunny conditions by the actual solar radiation degree data under different weather conditions to obtain the solar radiation degree correction factor;
Step five, multiplying the standard spectrum correction model with a water quality correction factor and a solar radiance correction factor to obtain an all-weather spectrum correction model;
And step six, adding water quality parameters monitored in real time under different water quality conditions into the all-weather spectrum correction model, and outputting corrected multispectral reflectivity data by the all-weather spectrum correction model.
Preferably, the second to sixth steps are repeated to adaptively correct the all-weather spectral correction model.
Preferably, in the second step, the preprocessing is performed on the initial water quality parameter to remove water quality data (this is an abnormal value) sent before the calibration of the sensor in the initial water quality parameter, and then data (the specified transmission time interval is three hours, six hours or twenty four hours, etc.) of the specified transmission time interval in the initial water quality parameter is screened and reserved to remove data errors caused by time deviation, and then the water quality parameter is obtained;
preferably, in the second step, the preprocessing is performed on the initial multispectral data to sequentially perform multiband extraction, equidistant image segmentation and clipping, and radiation correction on the image data in the initial multispectral data, so as to obtain multispectral reflectivity data.
Example 2:
The basic content is the same as in example 1, except that:
Referring to fig. 1-6, an all-weather spectrum positioning measurement method suitable for a water ecological environment is disclosed, the device comprises a support rod 1, a water environment monitoring box 3, a solar radiometer 31 and a remote sensing multispectral instrument 32, wherein one end of the support rod 1 close to the bottom is connected with one side of a fixed ring 4, the other side of the fixed ring 4 is connected with one end of a bottom support 5, the other end of the bottom support 5 is connected with one end of the water environment monitoring box 3, one end of the support rod 1 close to the top is connected with one end of a top support 21, the other end of the top support 21 is a measurement end 22, the bottom of the solar radiometer 31 is connected with the top of the measurement end 22, and the top of the remote sensing multispectral instrument 32 is connected with the bottom of the measurement end 22. The bottom bracket 5 comprises a bottom transverse bracket 51 and a bottom vertical bracket 52, one side of the bottom vertical bracket 52 is connected with one side of the fixed ring 4, the other side of the bottom vertical bracket 52 is vertically connected with one end of the bottom transverse bracket 51, and the bottom of the bottom transverse bracket 51 is connected with the top of the water environment monitoring box 3. The fixing ring 4 comprises a first fixing ring 41 and a second fixing ring 42, wherein the first fixing ring 41 is connected with one end, close to the top, of the bottom vertical support 52, and the second fixing ring 42 is connected with one end, close to the bottom, of the bottom vertical support 52. The bottom vertical support 52 is provided with a plurality of universal balls 53 at the position between the first fixing ring 41 and the second fixing ring 42, and one surface of the universal balls 53 is connected with one surface of the support rod 1. The top of the bottom transverse bracket 51 is connected with one end of a connecting steel wire 6, the other end of the connecting steel wire 6 is wound on an electric roller 61, and one end of the electric roller 61 is connected with one end of the supporting rod 1. Preferably, a plurality of through holes are uniformly distributed on the outer surface of the water environment monitoring box 3, an internet of things self-cleaning probe is arranged in the water environment monitoring box 3, and the internet of things self-cleaning probe can monitor the pH value, chlorophyll a, suspended solids and colored soluble organic matters of the water body 9.
When the multi-spectral water quality monitoring device is applied, the bottom bracket 5 is fixed with the supporting rod 1 through the fixing ring 4, so that the water environment monitoring box 3 is fixed with the supporting rod 1, the initial water quality parameter is conveniently measured by the water environment monitoring box 3, the solar radiometer 31 is fixed on the measuring end 22, the solar radiometer 31 is conveniently used for measuring solar radiometric data, the remote sensing multi-spectrometer 32 faces the surface of the water body 9, and the initial multi-spectral data is conveniently measured by the remote sensing multi-spectrometer 32; when the water environment monitoring box 3 is required to move upwards, the electric roller 61 is rotated to enable the connecting steel wire 6 to be wound on the electric roller 61, the other end of the connecting steel wire 6 drives the bottom transverse support 51 to move upwards, then the bottom transverse support 51 drives the water environment monitoring box 3 to move upwards, when the water environment monitoring box 3 is required to move downwards, the electric roller 61 is rotated to enable the connecting steel wire 6 to be released from the electric roller 61, so that a space for downwards moving the bottom transverse support 51 is provided, the bottom transverse support 51 drives the water environment monitoring box 3 to move downwards under the action of gravity until the connecting steel wire 6 is tensioned, in the process, the universal ball 53 rotates to reduce friction between the bottom vertical support 52 and the supporting rod 1, so that the bottom vertical support 52 moves smoothly, and the first fixing ring 41 and the second fixing ring 42 respectively fix two ends of the bottom vertical support 52, so that connection between the bottom vertical support 52 and the supporting rod 1 is stable, the water environment monitoring box 3 is stable, and shaking is not influenced by wind waves of a water body.
Example 3:
The basic content is the same as in example 1, except that:
referring to fig. 1-7, a terminal control box 7 is disposed at one end of the support rod 1 near the top, a storage battery 71 and an analysis transmission module are disposed in the terminal control box 7, and a transmission antenna 72 is inserted at the top of the terminal control box 7. The top of bracing piece 1 is connected with the bottom of thin support 8 perpendicularly, the top of thin support 8 is provided with solar panel 81. The solar panel 81 includes a first solar panel 811 and a second solar panel 812, one side of the first solar panel 811 is connected with one side of the fine bracket 8, one side of the second solar panel 812 is connected with the other side of the fine bracket 8, and the top of the second solar panel 812 is perpendicular to the top of the first solar panel 811.
When the solar light irradiates on the first solar panel 811 or the second solar panel 812, the first solar panel 811 or the second solar panel 812 converts the solar light into electric energy, the electric energy is stored in the storage battery 71, and then the storage battery 71 supplies power to other parts, so that the invention can operate for a long time; the first solar panel 811 and the second solar panel 812 are disposed obliquely and oppositely to have the best effect of collecting sunlight and the longest collecting time, and a triangular structure is formed between the first solar panel 811, the second solar panel 812 and the thin bracket 8 to stabilize the structures of the three.
Example 4:
The basic content is the same as in example 1, except that:
Referring to fig. 1-9, the bottom of the supporting rod 1 is connected with one end of a large conical end 12, the large conical end 12 has the same diameter as the supporting rod 1, one end of the large conical end 12 far away from the supporting rod 1 is connected with one end of a small conical end 13, and the diameter of the small conical end 13 is smaller than that of the large conical end 12.
When the support rod is used, the large conical end 12 is connected with the support rod 1, the small conical end 13 faces to the lower side of the water body, and the large conical end 12 to the small conical end 13 are of a structure with large upper part and small lower part, so that the support rod 1 is convenient to fix in the water body, and the support rod 1 has wider installation way than other shore-based equipment.
Example 5:
The basic content is the same as in example 1, except that:
Referring to fig. 1-9, in the third step, the water quality parameters include chlorophyll concentration (Chlorophyll), suspended matter concentration (TSS), etc., for example, when the relation between chlorophyll concentration (Chlorophyll) and suspended matter concentration (TSS) and reflectivity of a single band (such as blue band and near infrared band) is established, the following standard spectrum correction models can be listed by a machine learning method such as linear regression, polynomial regression, support vector machine regression, random forest or neural network:
In the standard spectrum correction model, RBlue is the reflectivity of a blue light wave band, a1 is a regression model coefficient, Cchl is chlorophyll concentration, b1 is a regression model coefficient, CTSS is suspension concentration, C1 is a regression model offset, RNIR is the reflectivity of a near infrared wave band, a2 is a regression model coefficient, b2 is a regression model coefficient, and C2 is a regression model offset;
The foregoing model is exemplified, and after obtaining a large amount of water quality parameters, solar radiation data and multispectral data, the most suitable machine learning method is used to finally fit the relationship between the reflectivity of each wave band and a plurality of water quality parameters (such as chlorophyll, turbidity, temperature, etc.).
In the sixth step, for example, when calculating the water quality correction factor, the concentration of suspended matter CTSS1 under sunny conditions is 10 mg/liter, the concentration of suspended matter CTSS2 under cloudy conditions is 50 mg/liter, then the suspended matter concentration CTSS2 is brought into a standard spectrum correction model to obtain theoretical multispectral reflectance data Rs, and then the ratio of the theoretical multispectral reflectance data Rs to the actual multispectral reflectance data R is obtained to obtain the water quality correction factor;
in the fifth step, the water quality correction factor is assumed to be 1.3, the solar radiance correction factor is assumed to be 2, the actual multispectral reflectivity data R is assumed to be 0.25, and the corrected multispectral reflectivity data R is obtained by multiplying the three values, wherein the multiplying comprises multiplying and multiplying related algorithms.
The above description is merely of preferred embodiments of the present invention, and the scope of the present invention is not limited to the above embodiments, but all equivalent modifications or variations according to the present disclosure will be within the scope of the claims.