Method for detecting concentration of medical 84 disinfectant based on spectral analysis

Abstract

The application provides a medical 84 disinfectant concentration detection method based on spectrum analysis, comprising the following steps: S1: collecting relevant data of liquid to-be-detected components and preprocessing the relevant data; S2: after preprocessing the relevant data, an effective component activity characteristic value is calculated through the relevant data; S3: through the difference between the current effective component activity characteristic value and the previous effective component activity characteristic value and the time interval of twice detection, an attenuation rate value is obtained; S4: the current effective component activity characteristic value is compared with a preset threshold value, and the remaining effective use time is extrapolated by combining the attenuation rate value, so that a liquid change urgency evaluation result is generated. Through the establishment of a dynamic monitoring and early warning mechanism, the application realizes the direct mapping from concentration detection to liquid change action, and provides clear, reliable and automatic decision basis for the use and management of medical disinfectants.

Description

Technical Field

[0001] This invention relates to the field of disinfectant detection technology, specifically a method for detecting the concentration of medical 84 disinfectant based on spectral analysis. Background Technology

[0002] 84 disinfectant is a chlorine-containing disinfectant with sodium hypochlorite (NaClO) as its main active ingredient. Due to its broad bactericidal spectrum, rapid action, and low price, it is widely used for disinfection in medical institutions, public places, and daily life. The effective chlorine concentration of medical 84 disinfectant directly determines its disinfection effect and safety. Too low a concentration can easily lead to sterilization failure, while too high a concentration may corrode instruments and harm the human body. Therefore, accurate and rapid concentration detection is crucial. Currently, most disinfectant concentration measurements are single-point measurements, reflecting only the instantaneous concentration and failing to dynamically monitor the concentration decay trend during use. By establishing a dynamic monitoring and early warning mechanism, the remaining effective usage time can be automatically determined based on the decay rate, prompting replacement. This can reduce the problems of premature replacement leading to waste or delayed replacement leading to disinfection failure.

[0003] The prior art, disclosed in publication number CN120949851A, describes a method and system for controlling the concentration of sodium hypochlorite in a vegetable cleaning tank based on online spectral control. This technology includes modules for spectral detection, filtration, intelligent control, dosing, backwashing, and data management. The spectral detection module uses a 255nm wavelength for detection, combined with a temperature sensor and compensation algorithm to eliminate low-temperature interference; the filtration module employs a two-stage series structure to remove impurities; the intelligent control module processes data, calculates the concentration using a concentration regression model, and controls the dosing module to precisely add sodium hypochlorite when the concentration is below a preset value, and triggers dilution when the concentration is above a preset value; the backwashing module triggers backwashing to maintain the filter element based on timed or differential pressure triggers; and the data management module stores and displays data and supports parameter adjustment. This solution improves detection accuracy and anti-interference capability, reduces maintenance costs, achieves precise concentration control, and ensures disinfection effectiveness.

[0004] However, the existing technologies mentioned above mostly rely on single-point measurements, which only reflect the instantaneous concentration at the time of sampling. They cannot dynamically monitor the concentration decay trend of disinfectants during use, nor can they automatically determine the remaining effective usage time and prompt replacement based on the rate of concentration change. In high-frequency usage scenarios such as medical institutions, disinfectants often need to be used continuously for several hours or even days, and their effective chlorine concentration will continue to decrease due to factors such as natural decomposition, organic contamination, and usage intensity. Without dynamic monitoring and early warning mechanisms, relying solely on the operator's experience to judge when to replace the disinfectant can easily lead to premature replacement resulting in waste or delayed replacement resulting in disinfection failure.

[0005] The information disclosed in the background section is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0006] The purpose of this invention is to provide a method for detecting the concentration of medical 84 disinfectant based on spectral analysis, thereby solving the problems mentioned in the background art. This invention continuously monitors the activity characterization values ​​of the active ingredients and calculates the decay rate values, transforming discrete concentration data into a dynamic decay trend. This allows for the construction of an assessment result regarding the urgency of fluid replacement, achieving a quantitative conversion from the deviation of the current concentration from the safety threshold to the remaining effective usage time. Based on the positive or negative sign and the degree of convergence of the assessment results, it automatically triggers early warnings or fluid replacement commands, forming a medical 84 disinfectant concentration detection method integrating high-specificity identification, physical interference correction, dynamic decay analysis, and intelligent decision-making.

[0007] To achieve the above objectives, the present invention provides the following technical solution:

[0008] A method for detecting the concentration of medical 84 disinfectant based on spectral analysis includes the following steps:

[0009] S1: Collect relevant data of the liquid component to be tested, including Raman scattering characteristic peak intensity, near-infrared differential absorbance, dilution factor and temperature correction coefficient, and preprocess the relevant data, including signal correction.

[0010] S2: After preprocessing the relevant data, the intensity of the Raman scattering characteristic peak, the near-infrared differential absorbance, the dilution factor, and the temperature correction coefficient are calculated by a multivariate correction algorithm to obtain the active ingredient characterization value. The active ingredient characterization value is positively correlated with the actual content of the component to be tested in the liquid and is used to characterize the instantaneous active ingredient state of the liquid in real time.

[0011] S3: Record the timestamp of each test, and combine the difference between the current active ingredient activity characterization value and the previous active ingredient activity characterization value with the time interval between the two tests to obtain the decay rate value; the decay rate value is used to characterize the stability index of the liquid during storage and use, and reflects the degradation rate of the component to be tested.

[0012] S4: Compare the current active ingredient activity characterization value with the preset threshold, and extrapolate the remaining effective usage time by combining the decay rate value to generate the liquid replacement urgency assessment result; when the liquid replacement urgency assessment result is positive, it means that the liquid is still within the effective usage range, and the value reflects the remaining effective time; when the liquid replacement urgency assessment result turns negative, the system automatically triggers the liquid replacement early warning signal.

[0013] Furthermore, the signal correction specifically includes: performing baseline drift correction on the acquired Raman scattering spectrum, extracting the true net intensity of the hypochlorite ion characteristic peak by subtracting fluorescence background and environmental stray light interference; secondly, performing temperature compensation on the absorbance signals at two characteristic wavelengths acquired in the near-infrared band, converting the measured absorbance to the equivalent value under standard temperature conditions, and eliminating the influence of temperature changes on absorbance measurement; simultaneously, performing time-series synchronization processing on the Raman scattering characteristic peak intensity and near-infrared differential absorbance to ensure that the multimodal optical signals are under the same time reference; performing logical verification on the dilution factor and temperature correction coefficient, eliminating invalid data caused by operational errors, and encapsulating all corrected relevant data in a unified data format to form a structured preprocessed result.

[0014] Furthermore, the preprocessed data are used to calculate the activity characterization values ​​of the active ingredients using a multivariate correction algorithm.

[0015]

[0016] in: These are the activity characterization values ​​of the active ingredients;

[0017] The intensity of the Raman scattering characteristic peak reflects the concentration of hypochlorite ions;

[0018] Near-infrared differential absorbance is used to correct turbidity and physical interference in the optical path;

[0019] The dilution factor is the volumetric dilution ratio from the original state of the disinfectant to its entry into the optical detection pool.

[0020] k(T) is a temperature correction factor used to convert the calculation results to the standard temperature;

[0021] , Here, α is a pre-calibrated correction coefficient, used to... The dimensions and response amplitude are matched to The correction requirements were determined through linear regression with standard solutions; The pre-calibrated offset is used to prevent the denominator from being zero or negative, and to compensate for the inherent background of the system. It is determined by blank matrix measurement.

[0022] Furthermore, the aforementioned Near-infrared differential absorbance, which is the difference in absorbance between the strong and weak absorption bands of the sample in water, is calculated as follows: ; To be at wavelength The absorbance at a certain point is affected by water absorption and sample turbidity; To be at wavelength The absorbance at this point is more sensitive to changes in active ingredients and scattering; the first wavelength Selected from the strong absorption band of water, second wavelength Selected from the weak absorption band of water; the The calculation formula is: ,in The real-time temperature of the sample. Standard temperature This is the temperature coefficient determined experimentally.

[0023] Furthermore, the active ingredient activity characterization value is used to reflect the current concentration level of available chlorine in the disinfectant. The active ingredient activity characterization value integrates the Raman scattering characteristic peak intensity and near-infrared differential absorbance. It utilizes the high chemical specificity of the hypochlorite ion characteristic Raman peak to achieve specific identification of available chlorine. At the same time, it uses near-infrared differential absorbance to correct for physical interferences on the Raman signal caused by sample turbidity, optical path variation, and fiber coupling efficiency fluctuations, thereby eliminating the influence of physical factors on the measurement results.

[0024] Furthermore, the attenuation rate value is calculated using the following formula:

[0025]

[0026] in: This represents the decay rate value.

[0027] This is the activity characterization value of the effective ingredient obtained in the previous measurement;

[0028] This represents the currently measured activity characterization value of the active ingredient;

[0029] The time interval between the two tests, where For the current detection time, This refers to the time of the previous test.

[0030] Furthermore, the decay rate value is calculated by dividing the change in the active ingredient activity characterization value between two adjacent detection times by the time interval, thus transforming the discrete concentration detection value into a continuous dynamic trend. The decay rate value is obtained by dividing the difference between two consecutive active ingredient activity characterization values ​​by the corresponding time interval. The decay rate value can reflect the rate of decay of the disinfectant under the current usage conditions in real time. When the decay rate increases, it indicates that the stability of the disinfectant is decreasing, and when the decay rate decreases, it indicates that the decay is stabilizing. At the same time, by continuously monitoring the temporal changes of the decay rate value, the system can identify abnormal decay events.

[0031] Furthermore, the assessment result of the urgency of fluid replacement is calculated using the following formula:

[0032]

[0033] in: The results of the fluid replacement urgency assessment;

[0034] Threshold is a preset threshold;

[0035] This is a reference time interval.

[0036] Furthermore, the urgency assessment result for fluid replacement integrates the current active ingredient activity characterization value, decay rate value, and preset threshold, quantifying multi-dimensional monitoring data into a single decision signal. The difference between the current active ingredient activity characterization value and the preset threshold serves as the basic judgment criterion, reflecting the extent to which the current concentration of the disinfectant deviates from its effective working range. Based on this, the decay rate value and preset reference time interval are introduced to transform the concentration difference into remaining usability measured on a time scale, i.e., the estimated duration for which the disinfectant can maintain an effective state at the current decay rate. Normalization is then used to eliminate the dimensional influence of specific concentration values ​​and decay rates, ensuring that the decision criteria are uniformly comparable across different usage scenarios and different formulations of disinfectants.

[0037] Furthermore, the decision-making logic for the fluid replacement urgency assessment result is as follows: When the fluid replacement urgency assessment result is positive, it indicates that the current effective chlorine concentration is higher than the preset threshold and the remaining usage time is sufficient, and the fluid replacement urgency assessment result is positively correlated with the remaining time; when the index approaches zero, it indicates that the concentration is close to the safety threshold and the decay rate is relatively fast, and the system enters the warning state; when the index turns negative, it indicates that the concentration has fallen below the safety threshold and the remaining usage time is insufficient, and the system automatically triggers the fluid replacement warning command.

[0038] Compared with existing technologies, the beneficial effects of this invention are as follows: By integrating Raman spectroscopy and near-infrared spectroscopy, the high chemical specificity of the characteristic Raman peak of hypochlorite ions is used to achieve specific identification of available chlorine. At the same time, near-infrared differential absorbance is used to correct physical interferences such as sample turbidity, optical path changes, and fiber coupling efficiency fluctuations in real time. The accuracy and cross-environment comparability of the detection results are ensured by combining temperature correction coefficients and dilution factors. By continuously monitoring the activity characterization value of the effective component and calculating the decay rate value, discrete concentration data is transformed into a dynamic decay trend, thereby constructing a liquid replacement urgency assessment result. This achieves a quantitative conversion from the deviation of the current concentration from the safety threshold to the remaining effective usage time. Based on the positive or negative and closeness of the assessment result, an early warning or liquid replacement command is automatically triggered, forming a medical 84 disinfectant concentration detection method that integrates high specificity identification, physical interference correction, dynamic decay analysis, and intelligent decision-making. Attached Figure Description

[0039] Figure 1 This is a schematic flowchart of the method for detecting the concentration of medical 84 disinfectant based on spectral analysis according to the present invention. Detailed Implementation

[0040] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to specific embodiments.

[0041] It should be noted that, unless otherwise defined, the technical or scientific terms used in this invention should have the ordinary meaning understood by one of ordinary skill in the art to which this invention pertains. The terms "first," "second," and similar terms used in this invention do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Terms such as "comprising" or "including" mean that the element or object preceding the word encompasses the elements or objects listed following the word and their equivalents, without excluding other elements or objects. Terms such as "connected" or "linked" are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. Terms such as "upper," "lower," "left," and "right" are used only to indicate relative positional relationships; when the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0042] Example:

[0043] Please see Figure 1 The present invention provides a technical solution:

[0044] A method for detecting the concentration of medical 84 disinfectant based on spectral analysis includes the following steps:

[0045] S1: Collect relevant data on the liquid components to be tested, including Raman scattering characteristic peak intensity, near-infrared differential absorbance, dilution factor, and temperature correction coefficient. The Raman scattering characteristic peak intensity is obtained by acquiring the inelastic scattering spectrum of the disinfectant sample at the characteristic frequency shift position of the hypochlorite ion using a Raman spectrometer, and after baseline correction and peak intensity integration, serving as the main signal source for quantifying the effective chlorine concentration. The near-infrared differential absorbance is the difference in absorbance between the sample and the weak absorption bands in water, acquired in real time using a near-infrared spectrometer or a fixed-wavelength LED-detector combination. The dilution factor is recorded by an automated pipetting system or read by an industrial vision system during offline sampling and dilution detection. Visual inspection and measurement technologies are used to automatically identify and accurately verify the pipetting volume, improving the repeatability and data reliability of the sampling process.

[0046] Baseline drift correction was performed on the acquired Raman scattering spectra to remove fluorescence background and ambient stray light interference, and the true net intensity of the hypochlorite ion characteristic peak was extracted to eliminate the influence of spectral background fluctuations on the quantitative accuracy of characteristic peaks. Temperature compensation was performed on the absorbance signals at two characteristic wavelengths acquired in the near-infrared band to convert the measured absorbance to the equivalent value under standard temperature conditions, eliminating the systematic influence of temperature changes on absorbance measurement and ensuring the comparability of near-infrared differential absorbance under different ambient temperatures. The above signal correction and compensation process strictly followed relevant standardization requirements to provide data consistency assurance for subsequent metrological analysis and certification services.

[0047] Simultaneously, the Raman scattering characteristic peak intensity and near-infrared differential absorbance are time-synchronized. Using the timestamp of the spectral acquisition completion time as a reference, interpolation methods are used to align multi-source sensor data with different sampling frequencies to the same time coordinate, ensuring that multimodal optical signals are under the same time reference and eliminating time-series deviations caused by asynchronous data acquisition. The dilution factor and temperature correction coefficient are logically verified, and invalid data caused by operational errors or sensor malfunctions are removed based on preset physical range thresholds. Finally, all corrected relevant data are packaged in a unified data format to form a structured preprocessing result. This preprocessing step can be combined with AI vision and visual intelligence technology to identify and dynamically adjust the sample state, liquid level, and optical window cleanliness in real time, further improving data quality.

[0048] The activity characterization values ​​of the active ingredients were calculated from the preprocessed data using a multivariate correction algorithm.

[0049]

[0050] in: These are the activity characterization values ​​of the active ingredients;

[0051] The intensity of the Raman scattering characteristic peak reflects the concentration of hypochlorite ions;

[0052] Near-infrared differential absorbance is used to correct turbidity and physical interference in the optical path;

[0053] The dilution factor is the volumetric dilution ratio from the original state of the disinfectant to its entry into the optical detection pool.

[0054] k(T) is a temperature correction factor used to convert the calculation results to the standard temperature;

[0055] The first calibration coefficient is a dimensionless parameter determined by linear regression analysis using a series of known concentrations of available chlorine standard solutions. It is used to match the dimensions and response amplitude of the near-infrared differential absorbance ΔA to the correction requirements of the Raman scattering characteristic peak intensity, so that the two have consistent response characteristics during the correction process. This is a pre-calibrated second correction factor, which is an offset parameter obtained through blank matrix determination, used to ensure the accuracy of the denominator term. It maintains a positive value under all operating conditions to prevent ratio calculation failure due to a zero or negative denominator, and is also used to compensate for the influence of the system's inherent background signal on the correction results; the above and Once calibrated, it is used as a fixed parameter under the condition that the instrument remains stable; its calibration process strictly follows metrological specifications to ensure the relevant standardization and traceability of measurement results, and to provide technical support for subsequent certification and accreditation services.

[0056] ΔA is the near-infrared differential absorbance, defined as the difference in absorbance of the sample at two different wavelengths in the near-infrared band, and it is calculated as follows: ,in For the first wavelength absorbance at that point For the second wavelength The absorbance at that point. The first wavelength. Selected from the strong absorption band of water, the absorbance in this band is mainly affected by water absorption and sample turbidity; the second wavelength Selected from the weak absorption band of water, the absorbance in this band is more sensitive to the concentration of effective components and scattering changes in the sample; by subtracting the absorbance of the two wavelengths mentioned above, common-mode interference such as sample turbidity, optical path change and fiber coupling efficiency fluctuation can be effectively eliminated, so that ΔA mainly reflects the physical interference components that are unrelated to the effective chlorine concentration, thus serving as a correction factor for the Raman signal.

[0057] The k(T) is the temperature correction coefficient, and its calculation formula is as follows: Where T is the sample temperature collected in real time by the temperature sensor, T0 is the preset standard temperature, and b is the temperature coefficient determined in advance through experiments. This temperature coefficient is obtained by measuring the Raman scattering intensity and near-infrared absorbance of the standard solution under different temperature conditions and fitting the temperature-signal response relationship. The temperature correction coefficient is used to convert the concentration-related signal measured at the current temperature to the equivalent value under the standard temperature condition, so as to eliminate the systematic influence of temperature change on Raman scattering intensity and near-infrared absorbance, and ensure the comparability and stability of the detection results under different ambient temperatures.

[0058] The active ingredient activity characterization value is used to reflect the current concentration level of available chlorine in the disinfectant in real time and accurately. The active ingredient activity characterization value integrates the Raman scattering characteristic peak intensity and near-infrared differential absorbance. It uses the Raman scattering peak of hypochlorite ions at the characteristic frequency shift of 930 cm⁻¹ to 940 cm⁻¹ as a quantitative signal source. This characteristic peak position does not overlap with the spectral characteristics of common additives in disinfectants. Thus, the high chemical specificity of Raman scattering enables the specific identification of available chlorine and effectively eliminates the interference of chemical components on the detection results. At the same time, the near-infrared differential absorbance is used to correct the interference of physical factors such as sample turbidity, bubbles, suspended particles, optical path changes and fiber coupling efficiency fluctuations on the Raman signal in real time. The near-infrared differential absorbance is the difference between the absorbance of the sample in the strong absorption band and the weak absorption band of water. This difference can effectively separate and deduct physical interference components, making the measurement results independent of the physical state of the sample, and significantly improving the robustness and reproducibility of the detection.

[0059] Based on this, the activity characterization value of the active ingredient, combined with the dilution factor, accurately recalculates the concentration value measured in the detection pool back to the actual concentration of the original disinfectant, eliminating the deviation caused by manual dilution. At the same time, a temperature correction coefficient is introduced to uniformly convert the measurement results to the equivalent concentration at the standard temperature. The temperature correction coefficient is calculated based on the real-time sample temperature through a preset exponential function, eliminating the systematic influence of temperature changes on Raman scattering intensity and near-infrared absorbance, ensuring the comparability and stability of the detection results under different ambient temperatures and different seasonal conditions.

[0060] S3: The system automatically records the timestamp of each detection, and combines the difference between the current active ingredient activity characterization value and the previous active ingredient activity characterization value with the time interval between the two detections to obtain the decay rate value. The decay rate value is calculated using the following formula:

[0061]

[0062] in: This represents the decay rate value.

[0063] This is the activity characterization value of the effective ingredient obtained in the previous measurement;

[0064] This represents the currently measured activity characterization value of the active ingredient;

[0065] The time interval between the two tests, where For the current detection time, The time of the previous test;

[0066] The decay rate value is calculated by taking the ratio of the change in the effective component activity characterization value between two adjacent detection times to the time interval, thus transforming the discrete concentration detection value into a continuous dynamic trend. The decay rate value is obtained by dividing the difference between the effective component activity characterization value collected at the later time and the effective component activity characterization value collected at the previous time by the difference between the two corresponding time intervals.

[0067] The decay rate value can reflect in real time how fast the concentration of disinfectant decays under the current usage conditions. When the decay rate value increases, it indicates that the stability of the disinfectant decreases or the usage intensity increases, and the concentration decays at an accelerated rate. When the decay rate value decreases, it indicates that the concentration decay tends to be stable or the usage conditions tend to be milder. This index does not depend on the absolute concentration value, but focuses on the dynamic change of concentration, providing a quantitative basis for the system to judge whether the disinfectant has entered the rapid failure stage.

[0068] Meanwhile, by continuously monitoring the temporal changes in the decay rate value, the system can promptly detect sudden changes or continuous deviations from the normal range in the decay rate, providing quantitative evidence for identifying abnormal decay events caused by factors such as contamination, high temperature, overuse, or poor container sealing. The system can compare the real-time calculated decay rate value with the preset normal decay range. When the decay rate value is detected to be continuously exceeding the normal range, the system automatically marks the batch of disinfectant as abnormal and issues a warning message.

[0069] S4: Compare the current active ingredient activity characterization value with a preset threshold, and extrapolate the remaining effective usage time based on the decay rate value to generate a fluid replacement urgency assessment result. The fluid replacement urgency assessment result is calculated using the following formula:

[0070]

[0071] in: The results of the fluid replacement urgency assessment;

[0072] Threshold is a preset threshold, which is the minimum allowable effective chlorine concentration preset according to the application scenario, and the unit is the same as the concentration unit of CCI.

[0073] A preset standard time window for reference time intervals;

[0074] This difference indicates the degree to which the current concentration deviates from the safety boundary; This represents the amount of concentration decrease calculated at the current decay rate within the reference time window;

[0075] The urgency assessment result of the fluid replacement is used to comprehensively evaluate the real-time status of the disinfectant and automatically decide whether it needs to be replaced. It is the final output indicator in the decision-making method. Specifically, the urgency assessment result of the fluid replacement integrates the current active ingredient activity characterization value, decay rate value and preset threshold, and quantifies the multi-dimensional monitoring data into a single decision signal, realizing a direct mapping from concentration detection to fluid replacement action.

[0076] The assessment of the urgency of fluid replacement is based on the difference between the current active ingredient activity value and a preset threshold. This difference indicates the degree of deviation of the current concentration from the safety boundary. A positive value indicates that the concentration is higher than the safety threshold, and a negative value indicates that the concentration is lower than the safety threshold. Based on this, a decay rate value and a preset reference time interval are introduced to convert the concentration difference into the remaining usability measured on a time scale, that is, the estimated duration for which the disinfectant can maintain an effective state at the current decay rate. The conversion relationship is achieved by dividing the concentration difference by the product of the decay rate value and the reference time interval.

[0077] Through transformation, the urgency assessment result of the fluid replacement combines the static indicator of concentration difference with the dynamic indicator of decay rate, so that the decision result reflects both the current state and the future trend. Furthermore, through the normalization of the reference time interval, the dimensional influence of specific concentration values ​​and decay rates is eliminated, so that the output results are comparable under different concentration units and different decay rates, thereby ensuring that the decision criteria remain consistent across different usage scenarios and different formulations of disinfectants.

[0078] When the urgency assessment result for disinfectant replacement is positive, it indicates that the current activity characterization value of the active ingredient is higher than the preset threshold and there is sufficient remaining usage time. At this time, the disinfectant is in an effective working state. The assessment result value is positively correlated with the remaining effective usage time. The larger the value, the longer the usage time. When the value approaches zero, it indicates that the current activity characterization value of the active ingredient is close to the preset threshold or the decay rate is relatively fast. The disinfectant is in a critical state, and the system automatically enters the early warning mode to prompt the operator to prepare to replace the disinfectant so that the replacement preparation can be completed before it becomes ineffective.

[0079] When the urgency assessment result for disinfectant replacement turns negative, it indicates that the current activity characterization value of the active ingredient has fallen below the preset threshold or the remaining usage time is insufficient, and the disinfectant has lost its effective disinfection ability. The system automatically triggers a disinfectant replacement warning command to notify the operator to replace the disinfectant immediately to ensure the effectiveness and continuity of the disinfection process.

[0080] Through the above decision-making logic, the urgency assessment result of fluid replacement transforms continuous monitoring data into discrete decision states, realizing a direct mapping from concentration detection to fluid replacement action, and providing a clear and reliable automated decision-making basis for the use and management of medical disinfectants.

[0081] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0082] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented in software, the above embodiments can be implemented, in whole or in part, as a computer program product. Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution.

[0083] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0084] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application.

Claims

1. A method for detecting the concentration of medical 84 disinfectant based on spectral analysis, characterized in that, Includes the following steps: S1: Collect relevant data of the liquid component to be tested, including Raman scattering characteristic peak intensity, near-infrared differential absorbance, dilution factor and temperature correction coefficient, and preprocess the relevant data, including signal correction. S2: After preprocessing the relevant data, the intensity of the Raman scattering characteristic peak, the near-infrared differential absorbance, the dilution factor, and the temperature correction coefficient are calculated by a multivariate correction algorithm to obtain the active ingredient characterization value. The active ingredient characterization value is positively correlated with the actual content of the component to be tested in the liquid and is used to characterize the instantaneous active ingredient state of the liquid in real time. S3: Record the timestamp of each detection, and combine the difference between the current active ingredient activity characterization value and the previous active ingredient activity characterization value with the time interval between the two detections to obtain the decay rate value; The decay rate value is used to characterize the stability of a liquid during storage and use, reflecting the degradation rate of the component being tested. S4: Compare the current active ingredient activity characterization value with the preset threshold, and extrapolate the remaining effective usage time by combining the decay rate value to generate the liquid replacement urgency assessment result; when the liquid replacement urgency assessment result is positive, it means that the liquid is still within the effective usage range, and the value reflects the remaining effective time; when the liquid replacement urgency assessment result turns negative, the system automatically triggers the liquid replacement early warning signal.

2. The method for detecting the concentration of medical 84 disinfectant based on spectral analysis according to claim 1, characterized in that: The signal correction specifically includes: performing baseline drift correction on the acquired Raman scattering spectrum, extracting the true net intensity of the hypochlorite ion characteristic peak by subtracting fluorescence background and environmental stray light interference; secondly, performing temperature compensation on the absorbance signals at two characteristic wavelengths acquired in the near-infrared band, converting the measured absorbance to the equivalent value under standard temperature conditions, and eliminating the influence of temperature changes on absorbance measurement; simultaneously, performing time-series synchronization processing on the Raman scattering characteristic peak intensity and near-infrared differential absorbance to ensure that the multimodal optical signals are under the same time reference; performing logical verification on the dilution factor and temperature correction coefficient, eliminating invalid data caused by operational errors, and encapsulating all corrected relevant data in a unified data format to form a structured preprocessed result.

3. The method for detecting the concentration of medical 84 disinfectant based on spectral analysis according to claim 2, characterized in that: The activity characterization values ​​of the active ingredients were calculated from the preprocessed data using a multivariate correction algorithm. in: These are the activity characterization values ​​of the active ingredients; The intensity of the Raman scattering characteristic peak reflects the concentration of hypochlorite ions; Near-infrared differential absorbance is used to correct turbidity and physical interference in the optical path; , where is the dilution factor, the volumetric dilution ratio from the original state of the disinfectant to its entry into the optical detection cell; k(T) is the temperature correction factor, used to convert the calculation results to the standard temperature; , Here, α is a pre-calibrated correction coefficient, used to... The dimensions and response amplitude are matched to The correction requirements were determined through linear regression with standard solutions; The pre-calibrated offset is used to prevent the denominator from being zero or negative, and to compensate for the inherent background of the system. It is determined by blank matrix measurement.

4. The method for detecting the concentration of medical 84 disinfectant based on spectral analysis according to claim 3, characterized in that: The Near-infrared differential absorbance, which is the difference in absorbance between the strong and weak absorption bands of the sample in water, is calculated as follows: ; To be at wavelength The absorbance at a certain point is affected by water absorption and sample turbidity; To be at wavelength The absorbance at this point is more sensitive to changes in active ingredients and scattering; the first wavelength Selected from the strong absorption band of water, second wavelength Selected from the weak absorption band of water; the The calculation formula is: ,in The real-time temperature of the sample. Standard temperature This is the temperature coefficient determined experimentally.

5. The method for detecting the concentration of medical 84 disinfectant based on spectral analysis according to claim 3, characterized in that: The active ingredient activity characterization value is used to reflect the current concentration level of available chlorine in the disinfectant. The active ingredient activity characterization value integrates the Raman scattering characteristic peak intensity and near-infrared differential absorbance. It utilizes the high chemical specificity of the hypochlorite ion characteristic Raman peak to achieve specific identification of available chlorine. At the same time, it uses near-infrared differential absorbance to correct for physical interferences on the Raman signal caused by sample turbidity, optical path variation and fiber coupling efficiency fluctuations, thereby eliminating the influence of physical factors on the measurement results.

6. The method for detecting the concentration of medical 84 disinfectant based on spectral analysis according to claim 1, characterized in that: The attenuation rate value is calculated using the following formula: in: This represents the decay rate value. This is the activity characterization value of the effective ingredient obtained in the previous measurement; This represents the currently measured activity characterization value of the active ingredient; The time interval between the two tests, where For the current detection time, This refers to the time of the previous test.

7. The method for detecting the concentration of medical 84 disinfectant based on spectral analysis according to claim 6, characterized in that: The decay rate value is calculated by taking the ratio of the change in the active ingredient activity characterization value between two adjacent detection times to the time interval, thus transforming discrete concentration detection values ​​into a continuous dynamic trend. The decay rate value is obtained by dividing the difference between two consecutive active ingredient activity characterization values ​​by the corresponding time interval. The decay rate value can reflect the rate of decay of the disinfectant under the current usage conditions in real time. When the decay rate increases, it indicates that the stability of the disinfectant is decreasing, and when the decay rate decreases, it indicates that the decay is stabilizing. At the same time, by continuously monitoring the temporal changes of the decay rate value, the system can identify abnormal decay events.

8. The method for detecting the concentration of medical 84 disinfectant based on spectral analysis according to claim 1, characterized in that: The assessment result of the urgency of fluid replacement is obtained by the following formula: in: This represents the urgency assessment result for fluid replacement; Threshold is the preset threshold. This is a reference time interval.

9. The method for detecting the concentration of medical 84 disinfectant based on spectral analysis according to claim 8, characterized in that: The urgency assessment of disinfectant replacement integrates the current active ingredient activity characterization value, decay rate value, and preset threshold, quantifying multi-dimensional monitoring data into a single decision signal. The difference between the current active ingredient activity characterization value and the preset threshold serves as the basic judgment criterion, reflecting the extent to which the current concentration of the disinfectant deviates from its effective working range. Based on this, the decay rate value and preset reference time interval are introduced to transform the concentration difference into remaining usability measured on a time scale, i.e., the estimated duration for which the disinfectant can maintain an effective state at the current decay rate. Normalization is then used to eliminate the dimensional influence of specific concentration values ​​and decay rates, ensuring that the decision criteria are uniformly comparable across different usage scenarios and different formulations of disinfectants.

10. The method for detecting the concentration of medical 84 disinfectant based on spectral analysis according to claim 9, characterized in that: The decision logic for the fluid replacement urgency assessment result is as follows: When the fluid replacement urgency assessment result is positive, it indicates that the current effective chlorine concentration is higher than the preset threshold and there is sufficient remaining usage time. The fluid replacement urgency assessment result is positively correlated with the remaining time. When the index approaches zero, it indicates that the concentration is close to the safety threshold and the decay rate is fast, and the system enters the warning state. When the index turns negative, it indicates that the concentration has fallen below the safety threshold and the remaining usage time is insufficient, and the system will automatically trigger a liquid replacement warning command.

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