A method, system and device for spectral determination of chemical production wastewater

Abstract

The present application relates to the technical field of optical testing, in particular to a spectrum determination method, system and equipment for chemical production wastewater. The method obtains a spectrum curve of electrolytic zinc wastewater; according to the shape of the spectrum curve in the wave peak segment, the metal appearance degree is obtained and the metal wave peak segment is screened out; according to the distribution of the spectrum intensity in the metal wave peak segment and the distance between the metal wave peak segment and the zinc element corresponding wave peak segment, the zinc interference degree of the metal wave peak segment is obtained; according to the zinc interference degree, the metal appearance degree of the metal wave peak segment is corrected to obtain the corrected metal appearance degree, and the real concentration of each metal component in the electrolytic zinc wastewater is obtained. By obtaining the corrected metal appearance degree, the present application effectively reduces the interference of the spectrum signal corresponding to the zinc element in the electrolytic zinc wastewater on the spectrum signal corresponding to other metal elements, and then accurately obtains the real concentration of each metal component and accurately judges whether the electrolytic zinc wastewater meets the discharge standard.

Description

Technical Field

[0001] This invention relates to the field of optical testing technology, specifically to a method, system, and equipment for spectral determination of chemical production wastewater. Background Technology

[0002] Electrolytic zinc wastewater is wastewater generated during the zinc production process. When the zinc ion concentration in the electrolytic zinc wastewater is too high, it indicates that the zinc recovery efficiency is not high. It is necessary to carry out another electrochemical reaction to deposit the zinc ions in the wastewater until the concentration of various metal components in the electrolytic zinc wastewater reaches the discharge standard before the electrolytic zinc wastewater is discharged. Therefore, it is necessary to accurately detect and analyze the metal components in the electrolytic zinc wastewater.

[0003] In existing technologies, inductively coupled plasma atomic emission spectrometry (ICP-AES) is used to quantitatively analyze metal elements in electrolytic zinc wastewater. Electrolytic zinc wastewater emits light of specific wavelengths under excited or heated conditions, reflecting the composition and content of metal components. By measuring the wavelength and intensity of the light in the spectroscopic technique, the metal components and their content in the electrolytic zinc wastewater can be identified. However, in practice, the spectral signal corresponding to zinc ions at a specific wavelength can overlap with the spectral signals corresponding to other metal elements, leading to inaccurate detection of the concentration of metal components in the electrolytic zinc wastewater. Consequently, it is impossible to accurately determine whether the electrolytic zinc wastewater meets discharge standards. Summary of the Invention

[0004] To address the technical problem of inaccurate concentration detection of metal components in electrolytic zinc wastewater due to the overlap of spectral signals corresponding to zinc ions at specific wavelengths with those of other metal elements, this invention aims to provide a method, system, and equipment for spectroscopic determination of chemical production wastewater. The specific technical solution adopted is as follows:

[0005] In a first aspect, one embodiment of the present invention provides a method for spectroscopic determination of chemical production wastewater, the method comprising the following steps:

[0006] Obtain the spectral curve of the electrolytic zinc wastewater;

[0007] Based on the shape of the spectral curve in each peak segment, the degree of metallic expression in each peak segment is obtained; based on the degree of metallic expression, metallic peak segments are selected.

[0008] The degree of zinc interference in each metal peak segment is obtained based on the distribution of spectral intensity in each metal peak segment and the distance between each metal peak segment and the corresponding peak segment of zinc.

[0009] The degree of metallic performance of each metal peak segment is corrected according to the degree of zinc interference, and the corrected degree of metallic performance of each metal peak segment is obtained.

[0010] Based on the modified metal performance, the true concentration of each metal component in the electrolytic zinc wastewater is obtained.

[0011] Furthermore, the method for obtaining the degree of metallic expression is as follows:

[0012] For any given peak segment, the spectral intensity corresponding to the peak in that segment is taken as the target spectral intensity.

[0013] The two wavelengths corresponding to half of the target spectral intensity in this peak segment are both used as reference wavelengths;

[0014] The difference between the wavelength corresponding to the target spectral intensity and the reference wavelength located to its left is taken as the first value;

[0015] The difference between the reference wavelength located to the right of the wavelength corresponding to the target spectral intensity and the wavelength corresponding to the target spectral intensity is taken as the second value;

[0016] The result of negatively correlating and normalizing the difference between the first and second values ​​is taken as the degree of symmetry of the wave crest segment.

[0017] The difference between the two reference wavelengths is used as the reference width of the peak segment;

[0018] The ratio of the target spectral intensity to the reference width is used as the degree of peak performance in that peak segment;

[0019] The normalized product of the degree of symmetry and the degree of peak performance is taken as the degree of metallic performance of that peak segment.

[0020] Furthermore, the method for obtaining the metal peak segment is as follows:

[0021] When the degree of metallic performance exceeds the preset threshold for metallic performance, the corresponding peak segment will be taken as the metallic peak segment.

[0022] Furthermore, the method for obtaining the degree of zinc interference is as follows:

[0023] Based on the distribution of spectral intensity in each metal peak segment, the error level of each metal peak segment is obtained;

[0024] The difference between the wavelength corresponding to the peak in each metal peak segment and the wavelength corresponding to the peak in the zinc peak segment is obtained and used as the reference distance for each metal peak segment.

[0025] The product of the negative correlation between the reference distance and the error level for each metal peak segment is normalized and used as the zinc interference level for each metal peak segment.

[0026] Furthermore, the method for obtaining the degree of error is as follows:

[0027] For any given metallic wave crest segment, the wavelength corresponding to the crest of that metallic wave crest segment is taken as the target wavelength.

[0028] The spectral intensities corresponding to the target wavelength and its preset number of neighboring wavelengths are all used as reference spectral intensities;

[0029] For any given reference spectral intensity, the concentration of the metal component corresponding to that metal peak segment is obtained from the reference spectral intensity and used as the reference concentration;

[0030] Obtain the standard spectral curve of the metal component corresponding to the metal peak segment at the reference concentration, and use it as the specific spectral curve;

[0031] The mean value of the difference between the spectral intensity of all wavelengths in the metal peak segment and the corresponding wavelength on the specific spectral curve is obtained as the reference error level of the metal peak segment under the reference spectral intensity.

[0032] Obtain the reference error level corresponding to each reference spectral intensity for the metal peak segment, and take the minimum reference error level as the error level of the metal peak segment.

[0033] Furthermore, the method for obtaining the degree of modified metallic performance is as follows:

[0034] For any metal peak segment, the result of negatively correlated with the zinc interference level of that metal peak segment is used as the correction weight for that metal peak segment.

[0035] The product of the correction weight and the degree of metallic performance of the metallic peak segment is used as the corrected degree of metallic performance of the metallic peak segment.

[0036] Furthermore, the method for obtaining the true concentration of each metal component in electrolytic zinc wastewater based on the modified metal performance is as follows:

[0037] For any metal component in electrolytic zinc wastewater, standard spectral curves of the metal component at different concentrations are obtained. The spectral data of each standard spectral curve are correlated with the corresponding concentration using partial least squares regression to establish a standard mathematical model of the metal expression degree and concentration of the metal component.

[0038] By substituting the modified metallic expression of this metal component into the standard mathematical model, the true concentration of this metal component in the electrolytic zinc wastewater can be obtained.

[0039] Furthermore, the method for obtaining the wave crest segment is as follows:

[0040] Obtain the peaks and troughs in the spectral curve, and take the wavelengths corresponding to the two adjacent troughs of each peak as the peak segment.

[0041] Secondly, another embodiment of the present invention provides a spectroscopic determination system for chemical production wastewater, the system comprising:

[0042] The acquisition module is used to acquire the spectral curve of electrolytic zinc wastewater;

[0043] The metal peak segment acquisition module is used to obtain the degree of metal performance of each peak segment based on the shape of the spectral curve in each peak segment; and to filter out metal peak segments based on the degree of metal performance.

[0044] The zinc interference level acquisition module is used to acquire the zinc interference level of each metal peak segment based on the distribution of spectral intensity in each metal peak segment and the distance between each metal peak segment and the peak segment corresponding to the zinc element.

[0045] The corrected metal performance degree acquisition module is used to correct the metal performance degree of each metal peak segment according to the zinc interference degree, and to acquire the corrected metal performance degree of each metal peak segment.

[0046] The true concentration acquisition module is used to obtain the true concentration of each metal component in the electrolytic zinc wastewater based on the corrected metal performance level.

[0047] Thirdly, another embodiment of the present invention provides a spectroscopic measurement device for chemical production wastewater, the device comprising: a memory, a processor, and a computer program stored in the memory and running on the processor, wherein when the processor executes the computer program, it implements the steps of any of the above methods.

[0048] The present invention has the following beneficial effects:

[0049] This invention obtains the degree of metallic expression of each peak segment based on the shape of the spectral curve within each peak segment, accurately reflecting the probability that each peak segment corresponds to a metallic component. Furthermore, it accurately screens out metallic peak segments based on the degree of metallic expression, effectively avoiding noise interference in the detection of metallic components in electrolytic zinc wastewater, and improving the efficiency and accuracy of metallic component detection in electrolytic zinc wastewater. To accurately detect the content of metallic components in electrolytic zinc wastewater and accurately analyze whether the wastewater meets discharge standards, this invention obtains the degree of zinc interference in each metallic peak segment based on the distribution of spectral intensity in each peak segment and the distance between each metallic peak segment and the peak segment corresponding to the zinc element, accurately reflecting the light content in each metallic peak segment. The degree of interference from zinc in the spectral data is beneficial for accurately correcting the spectral characteristics of each metal peak segment, improving the accuracy of obtaining the content of each metal component in the electrolytic zinc wastewater. Furthermore, the degree of zinc interference is used to correct the metal representation of each metal peak segment, obtaining the corrected metal representation for each peak segment, making the spectral characteristics of each metal peak segment more accurate. Based on the corrected metal representation, the true concentration of each metal component in the electrolytic zinc wastewater can be accurately obtained, effectively reducing the interference of zinc in the wastewater on the detection of other metal element concentrations. This allows for accurate determination of whether the electrolytic zinc wastewater meets discharge standards, effectively preventing harm to the ecological environment and human health caused by electrolytic zinc wastewater. Attached Figure Description

[0050] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0051] Figure 1 This is a schematic flowchart of a method for spectroscopic determination of chemical production wastewater provided in one embodiment of the present invention;

[0052] Figure 2 This is a flowchart illustrating a method for obtaining the degree of zinc interference according to an embodiment of the present invention.

[0053] Figure 3 A structural diagram of a spectroscopic measurement system for chemical production wastewater provided in one embodiment of the present invention;

[0054] Figure 4 This is a schematic diagram of a spectroscopic measuring device for chemical production wastewater provided in one embodiment of the present invention. Detailed Implementation

[0055] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of a spectral determination method, system, and equipment for chemical production wastewater according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0056] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0057] The following description, in conjunction with the accompanying drawings, details the specific scheme of the spectral determination method, system, and equipment for chemical production wastewater provided by this invention.

[0058] Example 1:

[0059] This invention proposes a spectroscopic method for the determination of chemical production wastewater. Please refer to [link / reference]. Figure 1 The diagram illustrates a schematic flowchart of a method for spectroscopic determination of chemical production wastewater according to an embodiment of the present invention. The method includes the following steps:

[0060] Step S1: Obtain the spectral curve of the electrolytic zinc wastewater.

[0061] Specifically, firstly, samples of electrolytic zinc wastewater are collected to ensure they are free of suspended particles, thus avoiding inaccurate spectral detection results. Then, an inductively coupled plasma atomic emission spectrometer (ICP-AES) is used to perform spectral measurements on the wastewater samples. High-temperature plasma is used as the light source; the wastewater samples are injected into the spectrometer via an introduction system, and the wastewater is introduced into the plasma in aerosol form via a carrier gas for excitation. The spectrometer is then activated, scanning the target wavelength range and recording the spectral intensity at each wavelength. To improve the efficiency and accuracy of detecting metal components in the wastewater via spectral measurement, this embodiment uses a blank sample (deionized water or matrix-matched solution) to collect background spectra, removing background spectra from the wastewater's spectral data to reduce the influence of matrix effects and ambient light interference. Finally, the collected spectral data is stored in a data processing system to ensure the integrity of the spectral data, providing a foundation for subsequent spectral analysis, correction, and modeling. Thus, the spectral curve of the electrolytic zinc wastewater is accurately obtained.

[0062] Step S2: Based on the shape of the spectral curve in each peak segment, obtain the degree of metal performance in each peak segment; based on the degree of metal performance, select the metal peak segments.

[0063] In practice, various metal components in electrolytic zinc wastewater exhibit distinct peaks in their spectral curves. To efficiently study the types and contents of metal components in electrolytic zinc wastewater and avoid interference from redundant bands, this embodiment first obtains the peak segments in the spectral curve. The method for obtaining the peak segments is as follows: using the first derivative method, the peaks and troughs in the spectral curve are obtained, and the bands formed by the wavelengths corresponding to the two adjacent troughs to each peak are considered as peak segments.

[0064] Considering the potential noise during spectral analysis of electrolytic zinc wastewater, which forms corresponding peaks on the spectral curve and can easily be mistaken for metallic components, leading to inaccurate metal composition analysis, this embodiment aims to improve the accuracy of metal component detection. Each peak segment needs to be analyzed to avoid noise interference. It is known that the spectral curves corresponding to metallic components in the peak segments are regular in shape and have distinct peaks, while noise is random, resulting in irregular shapes and relatively indistinct peaks. Therefore, this embodiment uses the shape of the spectral curve in each peak segment to determine the degree of metallic expression. A higher degree of metallic expression is more likely to correspond to a metallic component in the peak segment. Therefore, this embodiment selects metallic peak segments based on the degree of metallic expression to avoid noise interference in the detection of metallic components in electrolytic zinc wastewater.

[0065] Preferably, in one feasible embodiment of this invention, the method for obtaining the degree of metallic expression is as follows: For any peak segment, the spectral intensity corresponding to the peak in that peak segment is taken as the target spectral intensity; the two wavelengths corresponding to half of the target spectral intensity in that peak segment are both taken as reference wavelengths; wherein, the two reference wavelengths must be located on both sides of the wavelength corresponding to the target spectral intensity. The difference between the wavelength corresponding to the target spectral intensity and the reference wavelength located to its left is taken as a first value; the difference between the reference wavelength located to the right of the wavelength corresponding to the target spectral intensity and the wavelength corresponding to the target spectral intensity is taken as a second value; it should be noted that both the first and second values ​​are greater than 0. When the first and second values ​​are more equal, it indicates that the peak shape in that peak segment is more symmetrical, that is, the shape of the spectral curve in that peak segment is more regular. Furthermore, in this embodiment, the result of negatively correlated and normalized the absolute values ​​of the difference between the first and second values ​​is taken as the degree of symmetry of that peak segment; the greater the degree of symmetry, the more likely that the peak segment corresponds to a metallic component. The absolute value of the difference between the two reference wavelengths is further obtained as the reference width of the peak segment. The larger the target spectral intensity and the smaller the reference width of the peak segment, the higher and narrower the peak shape, indirectly reflecting the more pronounced the peak. Therefore, in this embodiment, the ratio of the target spectral intensity to the reference width is used as the peak performance degree of the peak segment. The greater the peak performance degree, the more likely the peak segment corresponds to a metallic component. To accurately analyze whether the peak segment corresponds to a metallic component, the normalized result of the product of the symmetry degree and the peak performance degree is used as the metallic performance degree of the peak segment.

[0066] The formula for calculating the degree of metallic expression is as follows: In the formula, The degree of metallic expression in the i-th wave crest segment; The wavelength corresponding to the target spectral intensity in the i-th peak segment; The reference wavelength is located to the left of the wavelength corresponding to the target spectral intensity in the i-th peak segment; The reference wavelength is located to the right of the wavelength corresponding to the target spectral intensity in the i-th peak segment; It is the first value; The second value; Let i be the target spectral intensity of the i-th peak segment; This is the reference width for the i-th wave crest segment; is the absolute value function; exp is the exponential function with the natural constant as the base; norm is the normalization function, and this embodiment uses the maximum and minimum value normalization method; The degree of symmetry of the i-th wave crest segment; The peak performance level of the i-th peak segment.

[0067] The method for normalizing the maximum and minimum values ​​is a well-known technique and will not be elaborated further.

[0068] This allows us to obtain the degree of metallic performance for each wave peak.

[0069] It is known that the greater the degree of metallic expression, the more likely the corresponding peak segment is to correspond to the metallic component. Therefore, this embodiment sets a preset metallic expression threshold of 0.5. Implementers can set the size of the preset metallic expression threshold according to actual conditions, which is not limited here. When the metallic expression degree is greater than the preset metallic expression threshold, the corresponding peak segment is taken as the metallic peak segment. In this way, the metallic peak segments corresponding to the metallic components are accurately screened, effectively avoiding the influence of noise.

[0070] Step S3: Based on the distribution of spectral intensity in each metal peak segment and the distance between each metal peak segment and the corresponding zinc peak segment, obtain the zinc interference level of each metal peak segment.

[0071] It is known that in the spectral determination of electrolytic zinc wastewater, different metal components have unique characteristic peaks in the spectral curves. By analyzing these characteristic peaks, various metal components in the electrolytic zinc wastewater can be accurately identified. Therefore, in this embodiment, various metal components in the electrolytic zinc wastewater can be obtained by analyzing the spectral intensity within each metal peak segment; where each metal peak segment corresponds to one metal component. Simultaneously, the content (concentration) of each metal component can be determined based on the peaks within each metal peak segment. Obtaining various metal components by analyzing the spectral intensity within a metal peak segment and determining the content of each metal component by analyzing the peaks within a metal peak segment are both well-known techniques and will not be elaborated further. However, in reality, electrolytic zinc wastewater is rinsing wastewater generated during the metal stripping and electrode cleaning processes in zinc production. Zinc is always present in electrolytic zinc wastewater. During spectral detection, the presence of zinc can cause the spectral signal of zinc ions at a specific wavelength to overlap with the spectral signals of other metal elements, leading to inaccurate detection of the concentration of metal components in the electrolytic zinc wastewater.

[0072] To accurately detect the content of each metal component, this embodiment requires further analysis of the spectral data in each metal peak segment to determine the degree of interference from zinc. It is known that, without zinc interference, the distribution of spectral intensity in each metal peak segment is identical to the spectral intensity at the same wavelength in the standard spectral curve of the corresponding metal component at the same concentration. Therefore, this embodiment analyzes the distribution of spectral intensity in each metal peak segment to preliminarily identify anomalies in the spectral data, indirectly determining the degree of interference from zinc. The standard spectral curve of the metal component corresponding to each metal peak segment at a specific concentration is the spectral curve obtained by a spectrometer from a sample containing only one metal component at a specific concentration. Furthermore, it is known that the main reason zinc in electrolytic zinc wastewater affects the spectral data of other metal components is the overlap of spectral signals; therefore, the closer a metal peak segment is to the zinc peak segment, the greater the degree of interference from zinc. Therefore, in this embodiment, the degree of zinc interference in each metal peak segment is obtained based on the distribution of spectral intensity in each metal peak segment and the distance between each metal peak segment and the peak segment corresponding to the zinc element. The greater the degree of zinc interference, the greater the interference of zinc element on the spectral data in the corresponding metal peak segment.

[0073] Preferably, in one feasible embodiment, the method for obtaining the degree of zinc interference is described in [reference needed]. Figure 2 The flowchart illustrates a method for obtaining the degree of zinc interference provided in this embodiment. The method includes the following steps:

[0074] Step S201: Based on the distribution of spectral intensity in each metal peak segment, obtain the error level of each metal peak segment.

[0075] The greater the error, the less normal the spectral data in the corresponding metal peak segment is, indirectly indicating that the corresponding metal peak segment is more affected by zinc interference.

[0076] Preferably, in one feasible embodiment of this invention, the method for obtaining the error level is as follows: for any metal peak segment, the wavelength corresponding to the peak of the metal peak segment is taken as the target wavelength; the concentration of the metal component corresponding to the metal peak segment can be obtained through the spectral intensity corresponding to the target wavelength. However, considering that the spectral data of the metal component in the electrolytic zinc wastewater may overlap due to the influence of zinc, which may affect its peak value, this embodiment uses the spectral intensities corresponding to the target wavelength and its preset number of neighboring wavelengths as reference spectral intensities. In this embodiment, the preset number is set to 6. The implementer can set the size of the preset number according to the actual situation, which is not limited here. Among them, the neighboring wavelength of the target wavelength is the wavelength closest to the target wavelength. In this embodiment, the interval between two adjacent wavelengths is set to 10nm. The implementer can set the interval between two adjacent wavelengths according to the actual situation, which is not limited here.

[0077] It is known that obtaining various metal components by spectral intensity within a metal peak segment and determining the content (concentration) of each metal component by the peaks within the metal peak segment are both well-known techniques. Therefore, for any reference spectral intensity, the concentration of the metal component corresponding to that metal peak segment can be directly obtained from that reference spectral intensity, serving as a reference concentration. Then, a standard spectral curve of the metal component corresponding to that metal peak segment at the reference concentration is obtained, serving as a specific spectral curve. The greater the difference between all wavelengths in the metal peak segment and the spectral intensities corresponding to the same wavelengths on the specific spectral curve, the more abnormal the spectral data in the metal peak segment is, indirectly reflecting that the metal peak segment is more likely to be interfered with by zinc. Therefore, in this embodiment, the mean value of the absolute values ​​of the differences between all wavelengths in the metal peak segment and the spectral intensities corresponding to the same wavelengths on the specific spectral curve is obtained, serving as the reference error level of the metal peak segment at that reference spectral intensity. To more accurately represent the deviation of the metal peak segment, the reference error level of the metal peak segment at each reference spectral intensity is obtained, and the minimum reference error level is taken as the error level of the metal peak segment.

[0078] At this point, the error level of each metal wave crest segment is obtained.

[0079] Step S202: Obtain the difference between the wavelength corresponding to the peak in each metal peak segment and the wavelength corresponding to the peak in the zinc peak segment, and use it as the reference distance for each metal peak segment.

[0080] For any given metallic wave crest, the smaller the absolute value of the difference between the wavelength corresponding to the peak in that metallic wave crest and the wavelength corresponding to the peak in the zinc wave crest, the closer the metallic wave crest is to the zinc wave crest, and the greater the interference from zinc. Therefore, this embodiment obtains the absolute value of the difference between the wavelength corresponding to the peak in each metallic wave crest and the wavelength corresponding to the peak in the zinc wave crest as a reference distance for each metallic wave crest. The smaller the reference distance, the greater the interference from zinc on the corresponding metallic wave crest.

[0081] Step S203: Normalize the product of the negative correlation between the reference distance and the error level for each metal peak segment, and use the result as the zinc interference level for each metal peak segment.

[0082] It is known that the smaller the reference distance, the greater the interference from zinc in the corresponding metallic peak segment; conversely, the greater the error, the more likely the corresponding metallic peak segment is to be interfered with by zinc. Therefore, this embodiment normalizes the product of the negative correlation between the reference distance and the error for each metallic peak segment as the zinc interference level for each segment. The greater the zinc interference level, the less accurate the spectral data in the corresponding metallic peak segment, and the greater the interference from zinc.

[0083] The formula for calculating the degree of zinc interference is as follows: In the formula, The degree of zinc interference in the a-th metal peak segment; This is the reference distance for the a-th metallic wave crest segment; The error level of the a-th metal peak segment; is the first preset constant, which is greater than 0; norm is the normalization function, and this embodiment adopts the maximum and minimum value normalization method.

[0084] This embodiment will Set to 1 to avoid a denominator of 0; implementers can set it according to the actual situation. The size is not limited here.

[0085] At this point, the degree of zinc interference for each metal peak segment is obtained.

[0086] Step S4: Correct the degree of metal performance of each metal peak segment according to the degree of zinc interference, and obtain the corrected degree of metal performance of each metal peak segment.

[0087] It is known that the greater the degree of zinc interference, the less accurate the spectral data in the corresponding metal peak segment, which indirectly reflects the less accurate the concentration of the corresponding metal component obtained based on the spectral intensity in the corresponding metal peak segment. In order to accurately obtain the concentration of each metal component in the electrolytic zinc wastewater, this embodiment corrects the metal performance of each metal peak segment according to the degree of zinc interference, and obtains the corrected metal performance of each metal peak segment, which is beneficial to the subsequent accurate acquisition of the concentration of the metal component corresponding to each metal peak segment.

[0088] Preferably, in one feasible embodiment of this method, the method for obtaining the corrected metal performance degree is as follows: For any metal peak segment, the result of negatively correlating the zinc interference degree of that metal peak segment is used as the correction weight for that metal peak segment; the larger the correction weight, the smaller the zinc interference degree, and the smaller the degree of correction required for the metal performance degree of that metal peak segment. This indirectly indicates that the spectral data in that metal peak segment is less affected by zinc interference, since the metal performance degree is obtained based on the spectral data in the corresponding metal peak segment. Then, the product of the correction weight and the metal performance degree of that metal peak segment is used as the corrected metal performance degree of that metal peak segment.

[0089] The formula for calculating the degree of correction of metallic performance is as follows: In the formula, This represents the corrected metallic performance level for the a-th metallic peak segment; The degree of zinc interference in the a-th metal peak segment; To adjust the weights; The degree of metallic expression in the a-th metallic peak segment.

[0090] At this point, the corrected metallic performance level for each metallic peak segment is obtained.

[0091] Step S5: Based on the corrected metal performance, obtain the true concentration of each metal component in the electrolytic zinc wastewater.

[0092] To obtain the true concentration of each metal component in the electrolytic zinc wastewater, this embodiment acquires standard spectral curves of any metal component at different concentrations. Partial least squares regression (PLR) is used to correlate the spectral data of each standard spectral curve with the corresponding concentration, establishing a standard mathematical model of the metal's metallicity and concentration. PLAR is a well-known technique and will not be elaborated further. Then, the corrected metallicity of the metal component is substituted into the standard mathematical model to accurately obtain the true concentration of that metal component in the electrolytic zinc wastewater.

[0093] This allows for the accurate determination of the true concentration of each metal component in the electrolytic zinc wastewater, effectively reducing the interference of zinc in the wastewater on the detection of other metal element concentrations. Consequently, it enables accurate determination of whether the electrolytic zinc wastewater meets discharge standards, thus avoiding harm to the ecological environment and human health.

[0094] In summary, this embodiment obtains the spectral curve of electrolytic zinc wastewater; based on the shape of the spectral curve in the peak segment, it obtains the degree of metal expression and then filters out the metal peak segments; based on the distribution of spectral intensity in the metal peak segments and the distance between the metal peak segments and the peak segments corresponding to zinc elements, it obtains the degree of zinc interference in the metal peak segments; based on the degree of zinc interference, it corrects the degree of metal expression in the metal peak segments to obtain the corrected degree of metal expression, and then obtains the true concentration of each metal component in the electrolytic zinc wastewater. This invention, by obtaining the corrected degree of metal expression, effectively reduces the interference of the spectral signal corresponding to zinc elements in the electrolytic zinc wastewater on the spectral signals corresponding to other metal elements, thereby accurately obtaining the true concentration of each metal component and accurately determining whether the electrolytic zinc wastewater meets the discharge standards.

[0095] Example 2:

[0096] This invention also proposes a spectroscopic measurement system for chemical production wastewater; please refer to [link / reference]. Figure 3 The diagram shows a structural diagram of a spectral determination system for chemical production wastewater provided in an embodiment of the present invention. The system includes: an acquisition module 10, a metal peak segment acquisition module 20, a zinc interference degree acquisition module 30, a corrected metal performance degree acquisition module 40, and a true concentration acquisition module 50.

[0097] The acquisition module 10 is used to acquire the spectral curve of electrolytic zinc wastewater.

[0098] The metal peak segment acquisition module 20 is used to obtain the degree of metal performance of each peak segment based on the shape of the spectral curve in each peak segment; and to select metal peak segments based on the degree of metal performance.

[0099] The zinc interference level acquisition module 30 is used to acquire the zinc interference level of each metal peak segment based on the distribution of spectral intensity in each metal peak segment and the distance between each metal peak segment and the peak segment corresponding to the zinc element.

[0100] The corrected metal performance degree acquisition module 40 is used to correct the metal performance degree of each metal peak segment according to the zinc interference degree, and acquire the corrected metal performance degree of each metal peak segment.

[0101] The true concentration acquisition module 50 is used to acquire the true concentration of each metal component in the electrolytic zinc wastewater based on the corrected metal performance level.

[0102] It should be noted that the system provided in the above embodiments is only an example of the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the computer equipment can be divided into different functional modules to complete all or part of the functions described above. In addition, the spectral determination system for chemical production wastewater and the spectral determination method for chemical production wastewater provided in the above embodiments belong to the same concept, and their specific implementation process can be found in the method embodiments, which will not be repeated here.

[0103] Example 3:

[0104] This invention also proposes a spectroscopic measurement device for chemical production wastewater; please refer to [link / reference]. Figure 4 The computer device includes a memory 401, a processor 402, and a computer program 403 stored in the memory 401 and running on the processor 402. When the processor 402 executes the computer program 403, the computer device can perform any of the aforementioned methods for the spectral determination of chemical production wastewater.

[0105] Furthermore, this application also protects a spectroscopic measuring device for chemical production wastewater. This device includes a memory and a processor. The memory stores executable program code, and the processor is used to call and execute the executable program code to perform a spectroscopic measuring method for chemical production wastewater provided in this application. Specifically, the device may be a chip, component, or module. The chip may include a connected processor and memory; the memory stores instructions, and when the processor calls and executes the instructions, the chip can perform the spectroscopic measuring method for chemical production wastewater provided in the above-described embodiment.

[0106] Example 4:

[0107] The present invention also provides a computer-readable storage medium storing computer program code, which, when executed on a computer, causes the computer to perform the aforementioned method steps to implement the spectral determination method for chemical production wastewater provided in the above embodiments.

[0108] Example 5:

[0109] The present invention also provides a computer program product, which, when run on a computer, causes the computer to perform the above-mentioned related steps to realize the spectral determination method for chemical production wastewater provided in the above embodiments.

[0110] In this embodiment, the device, computer-readable storage medium, computer program product, or chip are all used to execute the corresponding methods provided above. Therefore, the beneficial effects they can achieve can be referred to the beneficial effects in the corresponding methods provided above, and will not be repeated here.

[0111] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0112] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

Claims

1. A method for spectroscopic determination of chemical production wastewater, characterized in that, The method includes the following steps: Obtain the spectral curve of the electrolytic zinc wastewater; Based on the shape of the spectral curve in each peak segment, the degree of metallic expression in each peak segment is obtained; based on the degree of metallic expression, metallic peak segments are selected. The degree of zinc interference in each metal peak segment is obtained based on the distribution of spectral intensity in each metal peak segment and the distance between each metal peak segment and the corresponding peak segment of zinc. The degree of metallic performance of each metal peak segment is corrected according to the degree of zinc interference, and the corrected degree of metallic performance of each metal peak segment is obtained. Based on the modified metal performance, the true concentration of each metal component in the electrolytic zinc wastewater was obtained; The method for obtaining the degree of metallic expression is as follows: For any given peak segment, the spectral intensity corresponding to the peak in that segment is taken as the target spectral intensity. The two wavelengths corresponding to half of the target spectral intensity in this peak segment are both used as reference wavelengths; The difference between the wavelength corresponding to the target spectral intensity and the reference wavelength located to its left is taken as the first value; The difference between the reference wavelength located to the right of the wavelength corresponding to the target spectral intensity and the wavelength corresponding to the target spectral intensity is taken as the second value; The result of negatively correlating and normalizing the difference between the first and second values ​​is taken as the degree of symmetry of the wave crest segment. The difference between the two reference wavelengths is used as the reference width of the peak segment; The ratio of the target spectral intensity to the reference width is used as the degree of peak performance in that peak segment; The normalized product of the degree of symmetry and the degree of peak performance is taken as the degree of metallic performance of that peak segment.

2. The method for spectroscopic determination of chemical production wastewater as described in claim 1, characterized in that, The method for obtaining the metal peak segment is as follows: When the degree of metallic performance exceeds the preset threshold for metallic performance, the corresponding peak segment will be taken as the metallic peak segment.

3. The method for spectroscopic determination of chemical production wastewater as described in claim 1, characterized in that, The method for obtaining the degree of zinc interference is as follows: Based on the distribution of spectral intensity in each metal peak segment, the error level of each metal peak segment is obtained; The difference between the wavelength corresponding to the peak in each metal peak segment and the wavelength corresponding to the peak in the zinc peak segment is obtained and used as the reference distance for each metal peak segment. The product of the negative correlation between the reference distance and the error level for each metal peak segment is normalized and used as the zinc interference level for each metal peak segment.

4. The method for spectroscopic determination of chemical production wastewater as described in claim 3, characterized in that, The method for obtaining the degree of error is as follows: For any given metallic wave crest segment, the wavelength corresponding to the crest of that metallic wave crest segment is taken as the target wavelength. The spectral intensities corresponding to the target wavelength and its preset number of neighboring wavelengths are all used as reference spectral intensities; For any given reference spectral intensity, the concentration of the metal component corresponding to that metal peak segment is obtained from the reference spectral intensity and used as the reference concentration; Obtain the standard spectral curve of the metal component corresponding to the metal peak segment at the reference concentration, and use it as the specific spectral curve; The mean value of the difference between the spectral intensity of all wavelengths in the metal peak segment and the corresponding wavelength on the specific spectral curve is obtained as the reference error level of the metal peak segment under the reference spectral intensity. Obtain the reference error level corresponding to each reference spectral intensity for the metal peak segment, and take the minimum reference error level as the error level of the metal peak segment.

5. The method for spectroscopic determination of chemical production wastewater as described in claim 1, characterized in that, The method for obtaining the degree of modified metal performance is as follows: For any metal peak segment, the result of negatively correlated with the zinc interference level of that metal peak segment is used as the correction weight for that metal peak segment. The product of the correction weight and the degree of metallic performance of the metallic peak segment is used as the corrected degree of metallic performance of the metallic peak segment.

6. The method for spectroscopic determination of chemical production wastewater as described in claim 1, characterized in that, The method for obtaining the true concentration of each metal component in electrolytic zinc wastewater based on the modified metal performance is as follows: For any metal component in electrolytic zinc wastewater, standard spectral curves of the metal component at different concentrations are obtained. The spectral data of each standard spectral curve are correlated with the corresponding concentration using partial least squares regression to establish a standard mathematical model of the metal expression degree and concentration of the metal component. By substituting the modified metallic expression of this metal component into the standard mathematical model, the true concentration of this metal component in the electrolytic zinc wastewater can be obtained.

7. The method for spectroscopic determination of chemical production wastewater as described in claim 1, characterized in that, The method for obtaining the peak segment is as follows: Obtain the peaks and troughs in the spectral curve, and take the wavelengths corresponding to the two adjacent troughs of each peak as the peak segment.

8. A spectroscopic determination system for chemical production wastewater, characterized in that, The system includes: The acquisition module is used to acquire the spectral curve of electrolytic zinc wastewater; The metal peak segment acquisition module is used to obtain the degree of metal performance of each peak segment based on the shape of the spectral curve in each peak segment; and to filter out metal peak segments based on the degree of metal performance. The zinc interference level acquisition module is used to acquire the zinc interference level of each metal peak segment based on the distribution of spectral intensity in each metal peak segment and the distance between each metal peak segment and the peak segment corresponding to the zinc element. The corrected metal performance degree acquisition module is used to correct the metal performance degree of each metal peak segment according to the zinc interference degree, and to acquire the corrected metal performance degree of each metal peak segment. The true concentration acquisition module is used to obtain the true concentration of each metal component in the electrolytic zinc wastewater based on the corrected metal performance level. The method for obtaining the degree of metallic expression is as follows: For any given peak segment, the spectral intensity corresponding to the peak in that segment is taken as the target spectral intensity. The two wavelengths corresponding to half of the target spectral intensity in this peak segment are both used as reference wavelengths; The difference between the wavelength corresponding to the target spectral intensity and the reference wavelength located to its left is taken as the first value; The difference between the reference wavelength located to the right of the wavelength corresponding to the target spectral intensity and the wavelength corresponding to the target spectral intensity is taken as the second value; The result of negatively correlating and normalizing the difference between the first and second values ​​is taken as the degree of symmetry of the wave crest segment. The difference between the two reference wavelengths is used as the reference width of the peak segment; The ratio of the target spectral intensity to the reference width is used as the degree of peak performance in that peak segment; The normalized product of the degree of symmetry and the degree of peak performance is taken as the degree of metallic performance of that peak segment.

9. A spectroscopic measuring device for chemical production wastewater, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method for spectroscopic determination of chemical production wastewater as described in any one of claims 1-7.

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