Method and system for implementing heating of cleaning liquid

Abstract

The present invention relates to the technical field of cleaning liquid preparation, and provides a method and system for heating a cleaning liquid, including: obtaining the cleaning liquid to be heated and the corresponding formula material table of the cleaning liquid, analyzing the key material components of the cleaning liquid from the formula material table; scheduling the preparation data of the cleaning liquid, setting the heating temperature range corresponding to the cleaning liquid, performing thermal decomposition treatment on the cleaning liquid, collecting the cleaning liquid products and thermal decomposition data during the thermal decomposition treatment of the cleaning liquid; analyzing the thermal stability corresponding to the cleaning liquid products; extracting the spectral characterization information in the product vibration spectrum and analyzing the product functional groups in the cleaning liquid products; performing mass spectrometry analysis on the cleaning liquid products to obtain product mass spectrometry data, calculating the mass-to-charge ratio corresponding to the cleaning liquid products, and analyzing the thermal degradation path corresponding to the cleaning liquid; determining the thermal sensitivity threshold corresponding to the cleaning liquid, performing the heating treatment on the cleaning liquid, and obtaining the heating result. The present invention aims to improve the heating efficiency of the cleaning liquid.

Description

Technical Field

[0001] The present invention relates to the technical field of cleaning liquid preparation, and particularly relates to a method and system for heating a cleaning liquid. Background Art

[0002] A cleaning liquid generally refers to a liquid product used for cleaning and removing dirt. The cleaning liquid can include various chemical components such as detergents, solvents, surfactants, etc., and is used for cleaning homes, clothes, utensils, equipment or other surfaces. Different types of cleaning liquids have different uses. For example, a detergent is used for cleaning clothes, and a dishwashing liquid is used for cleaning tableware, etc. The cleaning liquid can usually effectively remove dirt, grease, bacteria and odors. There are many components in a laundry detergent. During the preparation and heating process, if the temperature is set unreasonably, it will cause the decomposition of other components, thereby affecting the subsequent use effect of the laundry detergent.

[0003] The existing heating of the cleaning liquid adopts a mixing heating method. This method is to mix the processing materials of the laundry detergent together, and heat the equipment until the processing materials are fused with each other to form a shape and color corresponding to the finished product, so as to complete the heating of the laundry detergent. However, in this process, the heating temperature of the laundry detergent is not applicable to all processing materials, and some materials will decompose due to the temperature exceeding the upper limit, resulting in poor use effect of the finished laundry detergent. Summary of the Invention

[0004] The present invention provides a method and system for heating a cleaning liquid, and its main purpose is to improve the heating efficiency of the cleaning liquid.

[0005] To achieve the above object, a method for heating a cleaning liquid provided by the present invention includes:

[0006] Obtain the cleaning liquid to be heated and the corresponding formula material table of the cleaning liquid, and analyze the key material components of the cleaning liquid from the formula material table;

[0007] Dispatch the preparation data of the cleaning liquid, combine the material components and the preparation data, set the heating temperature range corresponding to the cleaning liquid, and perform thermal decomposition treatment on the cleaning liquid according to the heating temperature range, and collect the cleaning liquid products and thermal decomposition data during the thermal decomposition treatment of the cleaning liquid;

[0008] Analyze the thermal stability corresponding to the cleaning liquid products according to the thermal decomposition data;

[0009] Use a preset infrared spectroscopy device to perform infrared scanning on the cleaning liquid products to obtain product vibration spectra, extract spectral characterization information from the product vibration spectra, and analyze the product functional groups in the cleaning liquid products according to the spectral characterization information;

[0010] Perform mass spectrometry analysis on the cleaning liquid product to obtain product mass spectrometry data. According to the product mass spectrometry data, calculate the mass-to-charge ratio of the cleaning liquid product, and combine the mass-to-charge ratio and the product functional groups to analyze the thermal degradation path corresponding to the cleaning liquid;

[0011] Combine the thermal degradation path, the thermal stability, and the key material components to determine the thermal sensitivity threshold corresponding to the cleaning liquid. According to the thermal sensitivity threshold, perform heat treatment on the cleaning liquid to obtain a heating result.

[0012] Optionally, analyzing the key material components of the cleaning liquid from the formula material table includes:

[0013] Identify the names of the components in the formula material table, and count the content of each component corresponding to each component name;

[0014] Query the component functions and cleaning functions corresponding to the component names and the cleaning liquid, and analyze the functional similarity between the component functions and the cleaning functions;

[0015] Combine the functional similarity and the component content to analyze the key material components of the cleaning liquid from the formula material table.

[0016] Optionally, analyzing the functional similarity between the component function and the cleaning function includes:

[0017] Extract the function tags corresponding to the component function and the cleaning function;

[0018] According to the function tags, perform clustering processing on the component function and the cleaning function to obtain clustering functions;

[0019] Perform semantic parsing on each function in the clustering functions to obtain clustering function interpretations;

[0020] Calculate the interpretation similarity between the clustering function interpretations through the following formula:

[0021]

[0022] where S represents the interpretation similarity between the clustering function interpretations, E i represents the vector corresponding to the i-th interpretation in the clustering function interpretations, E i+1 represents the vector corresponding to the (i + 1)-th interpretation in the clustering function interpretations, |E i | and |E i+1 | respectively represent the vector norms corresponding to the i-th and (i + 1)-th interpretations in the clustering function interpretations, and i and i + 1 respectively represent the serial numbers of the clustering function interpretations,

[0023] Based on the semantic similarity, the functional similarity between the component function and the cleaning function is obtained.

[0024] Optionally, combining the material components and the preparation data to set the heating temperature range corresponding to the cleaning solution includes:

[0025] Deduce the material chemical formula corresponding to the material components, and determine the chemical composition corresponding to the material components according to the material chemical formula;

[0026] Query the thermal decomposition temperature corresponding to the chemical composition, perform abnormal rejection processing on the preparation data, and obtain the target preparation data;

[0027] Extract the preparation temperature in the target preparation data, and calculate the average temperature value corresponding to the preparation temperature;

[0028] Combine the average temperature value and the thermal decomposition temperature to set the heating temperature range corresponding to the cleaning solution.

[0029] Optionally, analyzing the thermal stability of the cleaning solution product according to the thermal decomposition data includes:

[0030] Extract the thermal variables and thermal variable values in the thermal decomposition data;

[0031] Construct a thermal decomposition curve corresponding to the thermal decomposition data according to the thermal variables and the thermal variable parameters;

[0032] Identify the curve baseline value and curve peak value in the thermal decomposition curve, and calculate the product enthalpy change value corresponding to the cleaning solution product according to the curve starting value and the curve peak value;

[0033] Analyze the curve dynamic trend corresponding to the thermal decomposition curve, and analyze the reaction dynamic behavior corresponding to the cleaning solution product according to the curve dynamic trend;

[0034] Combine the product enthalpy change value and the reaction dynamic behavior to analyze the thermal stability of the cleaning solution product.

[0035] Optionally, extracting the spectral characterization information in the product vibration spectrum includes:

[0036] Perform noise reduction processing on the product vibration spectrum to obtain a noise-reduced vibration spectrum;

[0037] Perform baseline correction processing on the noise-reduced vibration spectrum to obtain a corrected product spectrum;

[0038] Mine the absorption peak information of each spectral absorption peak in the corrected product spectrum;

[0039] Analyze the information indicators corresponding to the absorption peak information, and identify the structure-activity correlation indicators from the information indicators;

[0040] According to the structure-activity correlation indicators, screen and process the absorption peak information to obtain the spectral characterization information in the product vibration spectrum.

[0041] Optionally, analyzing the product functional groups in the cleaning solution product according to the spectral characterization information includes:

[0042] Extract the spectral frequency set in the spectral characterization information, and calculate the frequency average value and frequency standard deviation corresponding to the spectral frequency set respectively;

[0043] Combine the spectral frequency set, the frequency average value and the frequency standard deviation to calculate the spectral symmetry degree of the cleaning product;

[0044] Identify the frequency peaks in the spectral frequency set, and combine the frequency peaks and the spectral symmetry degree to analyze the product functional groups in the cleaning solution product.

[0045] Optionally, the calculating the spectral symmetry degree of the cleaning product by combining the spectral frequency set, the frequency average value and the frequency standard deviation includes:

[0046] Count the frequency quantity corresponding to the spectral frequency set;

[0047] Combine the frequency quantity, the spectral frequency set, the frequency average value and the frequency standard deviation, and calculate the spectral symmetry degree of the cleaning product through the following formula:

[0048]

[0049] where A represents the spectral symmetry degree of the cleaning product, n represents the frequency quantity, D a represents the a-th frequency in the spectral frequency set, a represents the serial number of the spectral frequency in each frequency set of the spectral frequency set, represents the frequency average value, and s represents the frequency standard deviation.

[0050] Optionally, analyzing the thermal degradation path corresponding to the cleaning solution by combining the product mass spectrometry data and the product functional groups includes:

[0051] Perform smoothing processing on the product mass spectrometry data to obtain smoothed mass spectrometry data;

[0052] Construct a product mass spectrometry diagram corresponding to the cleaning solution product according to the smoothed mass spectrometry data;

[0053] Identify the product mass-to-charge ratio and product mass spectrometry peaks in the product mass spectrometry diagram;

[0054] Based on the mass-to-charge ratio of the product, the product fragment ions corresponding to the cleaning liquid product are deduced.

[0055] Combined with the product fragment ions and the product functional groups, the thermal degradation path corresponding to the cleaning liquid is analyzed.

[0056] A heating system for realizing heating of a cleaning liquid, characterized in that the system includes:

[0057] A component analysis module, configured to obtain the cleaning liquid to be heated and the corresponding formula material table of the cleaning liquid, and analyze the key material components of the cleaning liquid from the formula material table;

[0058] A thermal decomposition processing module, configured to schedule the preparation data of the cleaning liquid, combine the material components and the preparation data, set the heating temperature range corresponding to the cleaning liquid, and perform thermal decomposition processing on the cleaning liquid according to the heating temperature range, and collect the cleaning liquid product and thermal decomposition data during the thermal decomposition processing of the cleaning liquid;

[0059] A thermal stability analysis module, configured to analyze the thermal stability corresponding to the cleaning liquid product according to the thermal decomposition data;

[0060] A functional group analysis module, configured to perform infrared scanning on the cleaning liquid product by using a preset infrared spectroscopy device to obtain a product vibration spectrum, extract spectral characterization information in the product vibration spectrum, and analyze the product functional groups in the cleaning liquid product according to the spectral characterization information;

[0061] A degradation path analysis module, configured to perform mass spectrometry analysis on the cleaning liquid product to obtain product mass spectrometry data, calculate the mass-to-charge ratio of the cleaning liquid product corresponding to the product mass spectrometry data, and combine the mass-to-charge ratio and the product functional groups to analyze the thermal degradation path corresponding to the cleaning liquid;

[0062] A heating processing module, configured to determine the thermal sensitivity threshold corresponding to the cleaning liquid by combining the thermal degradation path, the thermal stability, and the key material components, and perform the heating processing of the cleaning liquid according to the thermal sensitivity threshold to obtain a heating result.

[0063] By analyzing the key material components of the cleaning liquid from the formula material list, the present invention can obtain the important composition components of the cleaning liquid, increase the understanding of the components of the cleaning liquid, and thus facilitate the subsequent setting of the heating temperature threshold. By combining the material components and the preparation data, the present invention sets the heating temperature range corresponding to the cleaning liquid, which can avoid the material denaturation of the cleaning liquid caused by too high temperature and make the cleaning liquid ineffective, providing rationality for the subsequent thermal decomposition treatment of the cleaning liquid. According to the thermal parameters and the thermal decomposition data, the present invention analyzes the thermal stability corresponding to the cleaning liquid product, and can evaluate the stability performance of the cleaning liquid product, providing a basis for the determination of the subsequent thermal sensitivity threshold. By extracting the spectral characterization information in the product vibration spectrum, the present invention can obtain the important spectral information in the product vibration spectrum, such as the spectral signal of a specific frequency or the representative absorption peak, providing a basis for the subsequent analysis of the product functional group. By combining the product mass spectrometry data and the product functional group, the present invention analyzes the thermal degradation path corresponding to the cleaning liquid, and then obtains the reaction decomposition process of the cleaning liquid during heating, facilitating the subsequent determination of the thermal sensitivity threshold of the cleaning liquid. By combining the thermal degradation path, the thermal stability and the key material components, the present invention determines the thermal sensitivity threshold corresponding to the cleaning liquid, and then obtains the optimal preparation temperature during the preparation of the cleaning liquid to improve the stability of the cleaning liquid product. Therefore, a heating method and system for realizing a cleaning liquid provided by an embodiment of the present invention can improve the heating efficiency of the cleaning liquid. Description of the Drawings

[0064] Figure 1 It is a schematic flowchart of a heating method for realizing a cleaning liquid provided by an embodiment of the present invention;

[0065] Figure 2 It is a functional module diagram of a heating system for realizing a cleaning liquid provided by an embodiment of the present invention.

[0066] The realization, functional characteristics and advantages of the object of the present invention will be further described with reference to the embodiments and the accompanying drawings. Detailed Embodiments

[0067] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0068] Embodiments of the present application provide a method for heating a cleaning liquid. In the embodiments of the present application, the execution subject of the method for heating a cleaning liquid includes, but is not limited to, at least one of electronic devices such as a server, a terminal, etc. that can be configured to execute the method provided in the embodiments of the present application. In other words, the method for heating a cleaning liquid can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes, but is not limited to: a single server, a server cluster, a cloud server, or a cloud server cluster, etc. The server can be an independent server or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, Content Delivery Network (CDN), and big data and artificial intelligence platforms.

[0069] Referring to Figure 1 As shown, it is a schematic flowchart of a method for heating a cleaning liquid provided by an embodiment of the present invention. In this embodiment, the method for heating a cleaning liquid includes steps S1 - S6.

[0070] S1. Obtain the cleaning liquid to be heated and the corresponding formula material table of the cleaning liquid, and analyze the key material components of the cleaning liquid from the formula material table.

[0071] By analyzing the key material components of the cleaning liquid from the formula material table, the present invention can obtain the important composition components of the cleaning liquid, increase the understanding of the components of the cleaning liquid, and thus facilitate the setting of the subsequent heating temperature threshold. Among them, the formula material table is a table of all raw materials, components, and corresponding quantities of the cleaning liquid.

[0072] As an embodiment of the present invention, analyzing the key material components of the cleaning liquid from the formula material table includes: identifying the component names in the formula material table, counting the component content corresponding to each component of the component names, querying the component functions and cleaning functions corresponding to the component names and the cleaning liquid, analyzing the functional similarity between the component functions and the cleaning functions, and combining the functional similarity and the component content to analyze the key material components of the cleaning liquid from the formula material table.

[0073] Among them, the component name is the name of the component in the formula material table, the component content represents the content and ratio corresponding to each component in the component name, the component function and the cleaning function respectively represent the functions corresponding to the component name and the cleaning liquid, and the functional similarity represents the degree of similarity between the component function and the cleaning function.

[0074] Optionally, the identification of the ingredient names in the formula material list can be achieved through OCR recognition technology; the query of the ingredient functions and cleaning functions corresponding to the ingredient names and the cleaning liquid can be obtained from the Internet through a human-computer interaction method; when the function similarity is greater than the preset similarity and the ingredient content reaches the standard content range, the key material ingredients of the cleaning liquid can be analyzed from the formula material list.

[0075] Optionally, as an alternative embodiment of the present invention, the analysis of the function similarity between the ingredient function and the cleaning function includes: extracting the function tags corresponding to the ingredient function and the cleaning function, clustering the ingredient function and the cleaning function according to the function tags to obtain a clustering function, performing semantic parsing on each function in the clustering function to obtain a clustering function interpretation, and calculating the interpretation similarity between the clustering function interpretations through the following formula:

[0076]

[0077] where S represents the interpretation similarity between the clustering function interpretations, E i represents the vector corresponding to the i-th interpretation in the clustering function interpretation, E i+1 represents the vector corresponding to the (i + 1)-th interpretation in the clustering function interpretation, |E i | and |E i+1 | respectively represent the vector norms corresponding to the i-th and (i + 1)-th interpretations in the clustering function interpretation, and i and i + 1 respectively represent the serial numbers of the clustering function interpretations.

[0078] According to the interpretation similarity, the function similarity between the ingredient function and the cleaning function is obtained.

[0079] Among them, the function tag is the function type corresponding to the ingredient function and the cleaning function, such as the surfactant category or the thickener category. The clustering function is the function obtained by clustering the functions of the same category in the ingredient function and the cleaning function together. The clustering function interpretation is the meaning and explanation corresponding to each function in the clustering function. Further, the extraction of the function tags corresponding to the ingredient function and the cleaning function can be achieved through a tag extraction tool; the clustering process of the ingredient function and the cleaning function can be achieved through a clustering algorithm according to the type of the function tag, such as the K-means clustering algorithm; the semantic parsing of each function in the clustering function can be achieved through a semantic parsing method.

[0080] S2. Schedule the preparation data of the cleaning liquid, combine the material composition and the preparation data, set the heating temperature range corresponding to the cleaning liquid, and perform thermal decomposition treatment on the cleaning liquid according to the heating temperature range. Collect the cleaning liquid products and thermal decomposition data during the thermal decomposition treatment of the cleaning liquid.

[0081] In the present invention, by combining the material composition and the preparation data to set the heating temperature range corresponding to the cleaning liquid, it is possible to avoid the material denaturation of the cleaning liquid due to too high temperature, resulting in the invalidation of the cleaning liquid, providing rationality for the subsequent thermal decomposition treatment of the cleaning liquid. Among them, the preparation data is the production data during the processing of the cleaning liquid, and the heating temperature range is the heating temperature range during the processing of the cleaning liquid. Further, the preparation data of the cleaning liquid can be scheduled from the automated preparation system for the production and processing of the cleaning liquid.

[0082] As an embodiment of the present invention, the step of combining the material composition and the preparation data to set the heating temperature range corresponding to the cleaning liquid includes: deriving the material chemical formula corresponding to the material composition, determining the chemical composition corresponding to the material composition according to the material chemical formula, querying the thermal decomposition temperature corresponding to the chemical composition, performing abnormal elimination processing on the preparation data to obtain the target preparation data, extracting the preparation temperature in the target preparation data, calculating the average temperature value corresponding to the preparation temperature, and combining the average temperature value and the thermal decomposition temperature to set the heating temperature range corresponding to the cleaning liquid.

[0083] Among them, the chemical composition is a compound obtained by connecting different elements in the material composition in a corresponding proportion, the thermal decomposition temperature is the maximum temperature value that the chemical composition can withstand, and the preparation temperature is the temperature corresponding to the processing of the cleaning liquid in the target preparation data.

[0084] Further, the material chemical formula corresponding to the material composition can be derived from the elements in the material composition; the abnormal elimination processing of the preparation data can be realized by the box plot method; the preparation temperature in the target preparation data can be realized by an extraction function, and the extraction function is compiled by a scripting language, such as the JS scripting language; the steps for setting the heating temperature range corresponding to the cleaning liquid are: taking the average temperature value as the lowest value and setting the upper limit value of the heating temperature range according to the thermal decomposition temperature.

[0085] The present invention performs thermal decomposition treatment on the cleaning liquid according to the heating temperature range, so as to understand the property changes of the cleaning liquid at different temperatures within the heating temperature range. By collecting the cleaning liquid products and thermal decomposition data during the thermal decomposition treatment of the cleaning liquid, detailed data during the thermal decomposition process of the cleaning liquid can be obtained, facilitating subsequent analysis of the thermal stability corresponding to the cleaning liquid products. Herein, the cleaning liquid products are the products obtained by decomposing the cleaning liquid during the thermal decomposition treatment, and the thermal decomposition data are the relevant thermodynamic data of the cleaning liquid during the thermal decomposition treatment. Further, the thermal decomposition treatment of the cleaning liquid can be achieved through a heating device, and the heating device includes a microwave heating device; the collection of the cleaning liquid products during the thermal decomposition treatment of the cleaning liquid can be achieved through corresponding methods, such as the condensation method, where the released gas or volatile products are condensed into a liquid form through devices such as a cooler and then collected. The thermal decomposition data of the cleaning liquid during the thermal decomposition treatment can be collected through sensors, such as instruments like temperature sensors or timers.

[0086] S3. Analyze the thermal stability corresponding to the cleaning liquid products according to the thermal decomposition data.

[0087] The present invention analyzes the thermal stability corresponding to the cleaning liquid products according to the thermal parameters and the thermal decomposition data, and can evaluate the stability performance of the cleaning liquid products, providing a basis for the determination of subsequent thermal sensitivity thresholds. Optionally, the thermal parameters in the thermal decomposition data can be achieved through extraction tools, such as Kinetics software.

[0088] As an embodiment of the present invention, the analysis of the thermal stability corresponding to the cleaning liquid products according to the thermal decomposition data includes: extracting the thermal variables and thermal variable values from the thermal decomposition data, constructing a thermal decomposition curve corresponding to the thermal decomposition data according to the thermal variables and the thermal variable parameters, identifying the curve baseline value and curve peak value in the thermal decomposition curve, calculating the product enthalpy change value corresponding to the cleaning liquid products according to the curve starting value and the curve peak value, analyzing the curve dynamic trend corresponding to the thermal decomposition curve, analyzing the reaction dynamic behavior corresponding to the cleaning liquid products according to the curve dynamic trend, and analyzing the thermal stability corresponding to the cleaning liquid products by combining the product enthalpy change value and the reaction dynamic behavior.

[0089] Among them, the thermal variable is a variable related to thermodynamics in the thermal decomposition data, such as temperature and time. The thermal decomposition curve is a description of the change process of the thermal variable over time. The curve baseline value and the curve peak value are respectively the starting value and the maximum value in the thermal decomposition curve, such as the initial decomposition temperature value and the decomposition stopping temperature value. The product enthalpy change value represents the total heat released or absorbed by the cleaning solution product. The positive or negative value of the product enthalpy change value represents exothermic and endothermic. Exothermic indicates that the product is more stable than the reactant, and endothermic indicates that the product is less stable than the reactant and requires energy consumption to maintain a stable state. The curve dynamic trend represents the degree of change of the thermal decomposition curve, and the reaction dynamic behavior represents the reaction rate of the cleaning solution product.

[0090] Furthermore, the construction of the thermal decomposition curve corresponding to the thermal decomposition data can be achieved through the Visio drawing tool; the product enthalpy change value corresponding to the cleaning solution product can be obtained by integrating the curve region from the starting value to the peak value of the curve; the curve dynamic trend corresponding to the thermal decomposition curve can be analyzed by calculating the slope of the curve and analyzing the change of the slope. The reaction dynamic behavior corresponding to the cleaning solution product can be analyzed according to the curve dynamic trend. For example, the faster the curve dynamic trend changes, the faster the reaction dynamic behavior is, indicating that the stability of the corresponding cleaning solution product is lower.

[0091] S4. Use a preset infrared spectroscopy device to perform an infrared scan on the cleaning solution product to obtain a product vibration spectrum, extract the spectral characterization information in the product vibration spectrum, and analyze the product functional groups in the cleaning solution product according to the spectral characterization information.

[0092] By extracting the spectral characterization information in the product vibration spectrum, the present invention can obtain important spectral information in the product vibration spectrum, such as spectral signals at specific frequencies or representative absorption peaks, providing a basis for the subsequent analysis of product functional groups. Among them, the product vibration spectrum is an infrared spectrum collected by the cleaning solution product through the infrared spectroscopy device.

[0093] As an embodiment of the present invention, the extraction of the spectral characterization information in the product vibration spectrum includes: performing noise reduction processing on the product vibration spectrum to obtain a noise-reduced vibration spectrum, performing baseline correction processing on the noise-reduced vibration spectrum to obtain a corrected product spectrum, mining the absorption peak information of each spectral absorption peak in the corrected product spectrum, analyzing the information index corresponding to the absorption peak information, identifying the structure-activity correlation index from the information index, and screening the absorption peak information according to the structure-activity correlation index to obtain the spectral characterization information in the product vibration spectrum.

[0094] Among them, the absorption peak information is the parameter information of each spectral absorption peak in the spectrum of the calibration product, such as the absorption peak position information. The information index is the information type corresponding to the absorption peak information, and the structure-activity correlation index is the index related to the chemical structure in the information index.

[0095] Further, the noise reduction processing of the product vibration spectrum can be achieved by a median filter; the baseline correction processing of the noise-reduced vibration spectrum can be achieved by a polynomial fitting method; the absorption peak information of each spectral absorption peak in the spectrum of the calibration product can be mined by a Gaussian fitting method. The spectral data is fitted into a Gaussian function, and the information of the absorption peak is extracted through the parameters (mean, standard deviation, amplitude) of the fitting curve; the structure-activity correlation index can be determined by querying the literature in the chemical field according to the information index, such as the study of quantitative structure-activity relationship.

[0096] According to the spectral characterization information, the present invention analyzes the product functional groups in the cleaning solution product, so as to understand the specific atoms or atomic groups in the cleaning solution product, and further facilitate the subsequent analysis of the thermal degradation path corresponding to the cleaning solution.

[0097] As an embodiment of the present invention, the analysis of the product functional groups in the cleaning solution product according to the spectral characterization information includes: extracting the spectral frequency set in the spectral characterization information, respectively calculating the frequency average value and the frequency standard deviation corresponding to the spectral frequency set, combining the spectral frequency set, the frequency average value and the frequency standard deviation, calculating the spectral symmetry degree of the cleaning product, identifying the frequency peaks in the spectral frequency set, and combining the frequency peaks and the spectral symmetry degree to analyze the product functional groups in the cleaning solution product.

[0098] Among them, the spectral frequency set is the set of vibration frequencies of the composition points on each absorption peak in the product vibration spectrum in the spectral characterization information. The spectral symmetry degree represents the symmetry situation corresponding to each absorption peak in the product vibration spectrum, and the frequency peak represents the intensity corresponding to each absorption peak in the product vibration spectrum.

[0099] Optionally, the extraction of the spectral frequency set in the spectral characterization information can be achieved by the SpectraGryph tool; the frequency average value and the frequency standard deviation corresponding to the spectral frequency set can be calculated by the average function and the standard deviation formula; the product functional groups in the cleaning solution product can be obtained by comparative analysis from the compound database in combination with the frequency peaks and the spectral symmetry degree.

[0100] Optionally, as an alternative embodiment of the present invention, calculating the spectral symmetry degree of the cleaning product by combining the spectral frequency set, the frequency average value, and the frequency standard deviation includes: counting the number of frequencies corresponding to the spectral frequency set, and calculating the spectral symmetry degree of the cleaning product through the following formula by combining the number of frequencies, the spectral frequency set, the frequency average value, and the frequency standard deviation:

[0101]

[0102] where A represents the spectral symmetry degree of the cleaning product, n represents the number of frequencies, D a represents the a-th frequency in the spectral frequency set, and a represents the serial number of the spectral frequency in each frequency set of the spectral frequency set, represents the frequency average value, and s represents the frequency standard deviation.

[0103] S5. Perform mass spectrometry analysis on the cleaning liquid product to obtain product mass spectrometry data, and analyze the thermal degradation path corresponding to the cleaning liquid by combining the product mass spectrometry data and the product functional groups.

[0104] The present invention analyzes the thermal degradation path corresponding to the cleaning liquid by combining the product mass spectrometry data and the product functional groups, and further obtains the reaction decomposition process of the cleaning liquid during heating, which is convenient for determining the thermal sensitivity threshold of the cleaning liquid in the subsequent process. The product mass spectrometry data is the mass spectrometry information corresponding to the cleaning liquid product. Further, the mass spectrometry analysis of the cleaning liquid product can be realized by a mass spectrometer.

[0105] As an embodiment of the present invention, analyzing the thermal degradation path corresponding to the cleaning liquid by combining the product mass spectrometry data and the product functional groups includes: performing smoothing processing on the product mass spectrometry data to obtain smoothed mass spectrometry data, constructing a product mass spectrometry diagram corresponding to the cleaning liquid product according to the smoothed mass spectrometry data, identifying the product mass-to-charge ratio and the product mass spectrometry peak in the product mass spectrometry diagram, deriving the product fragment ions corresponding to the cleaning liquid product according to the product mass-to-charge ratio, and analyzing the thermal degradation path corresponding to the cleaning liquid by combining the product fragment ions and the product functional groups.

[0106] The smoothed mass spectrometry data is the data obtained after removing the noise interference in the product mass spectrometry data. The product mass-to-charge ratio is the ratio of the mass to the charge number of the product molecule detected by the mass spectrometer in the cleaning liquid product. The product mass spectrometry peak is the ion signal peak corresponding to the cleaning liquid product. The product fragment ions are the smaller ion fragments generated after the compounds or ions in the cleaning liquid product are excited or collided and undergo bond cleavage.

[0107] Further, the smoothing process of the product mass spectrometry data can be achieved by a median filtering method; the product mass-to-charge ratio and product mass spectrometry peaks in the product mass spectrometry diagram can be obtained through an identification algorithm compiled in JAVA language; the product fragment ions corresponding to the cleaning liquid product can be obtained by comparing the product mass-to-charge ratio with a known fragment spectrum database; the analysis of the thermal degradation path corresponding to the cleaning liquid can determine all chemical bonds existing in the cleaning liquid product through the product fragment ions and the product functional groups, and in combination with known chemical reaction mechanisms and rules, analyze all the thermal degradation pathways of the chemical bonds. For example, different functional groups such as aldehydes, carboxylic acids, and alcohols may lead to different thermal degradation reactions, and decarbonylation will occur during heating to generate corresponding carbon oxides.

[0108] S6. Combine the thermal degradation path, the thermal stability, and the key material components to determine the thermal sensitivity threshold corresponding to the cleaning liquid, and according to the thermal sensitivity threshold, perform the heating process of the cleaning liquid to obtain a heating result.

[0109] The present invention determines the thermal sensitivity threshold corresponding to the cleaning liquid by combining the thermal degradation path, the thermal stability, and the key material components, and further obtains the optimal preparation temperature during the preparation process of the cleaning liquid to improve the stability of the cleaning liquid product. Among them, the thermal sensitivity threshold is the optimal preparation temperature in the preparation process corresponding to the cleaning liquid, that is, the cleaning liquid can be stably processed at the thermal sensitivity threshold; optionally, according to the thermal degradation path, determine whether the key material components decompose. If decomposition occurs, set the corresponding thermal sensitivity threshold in combination with the level of thermal stability. For example, if the thermal stability is low, the thermal sensitivity threshold can be less than the temperature corresponding to the thermal degradation path.

[0110] By analyzing the key material components of the cleaning liquid from the formula material list, the present invention can obtain the important composition components of the cleaning liquid, increase the understanding of the composition of the cleaning liquid, and thus facilitate the subsequent setting of the heating temperature threshold. By combining the material components and the preparation data, the present invention sets the heating temperature range corresponding to the cleaning liquid, which can prevent the material of the cleaning liquid from denaturing due to excessive temperature and render the cleaning liquid ineffective, providing rationality for the subsequent thermal decomposition treatment of the cleaning liquid. According to the thermal parameters and the thermal decomposition data, the present invention analyzes the thermal stability corresponding to the cleaning liquid product, which can evaluate the stability performance of the cleaning liquid product and provide a basis for the determination of the subsequent thermal sensitivity threshold. By extracting the spectral characterization information in the product vibration spectrum, the present invention can obtain the important spectral information in the product vibration spectrum, such as spectral signals at specific frequencies or representative absorption peaks, providing a basis for the subsequent analysis of the product functional groups. By combining the product mass spectrometry data and the product functional groups, the present invention analyzes the thermal degradation path corresponding to the cleaning liquid, and thus obtains the reaction decomposition process of the cleaning liquid during heating, facilitating the subsequent determination of the thermal sensitivity threshold of the cleaning liquid. By combining the thermal degradation path, the thermal stability and the key material components, the present invention determines the thermal sensitivity threshold corresponding to the cleaning liquid, and thus obtains the optimal preparation temperature during the preparation of the cleaning liquid to improve the stability of the cleaning liquid product. Therefore, a heating method for a cleaning liquid provided by an embodiment of the present invention can improve the heating efficiency of the cleaning liquid.

[0111] As Figure 2 shown, it is a functional module diagram of a heating system for a cleaning liquid provided by an embodiment of the present invention.

[0112] The heating system 100 for a cleaning liquid according to the present invention can be installed in an electronic device. According to the functions achieved, the heating system 100 for a cleaning liquid can include a composition analysis module 101, a thermal decomposition processing module 102, a thermal stability analysis module 103, a functional group analysis module 104, a degradation path analysis module 105, and a heating processing module 106. The modules in the present invention can also be referred to as units, which refer to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, and are stored in the memory of the electronic device.

[0113] In this embodiment, the functions of each module / unit are as follows:

[0114] The composition analysis module 101 is configured to obtain the cleaning liquid to be heated and the corresponding formula material list of the cleaning liquid, and analyze the key material components of the cleaning liquid from the formula material list;

[0115] The thermal decomposition processing module 102 is configured to schedule the preparation data of the cleaning liquid, set the heating temperature range corresponding to the cleaning liquid by combining the material composition and the preparation data, perform thermal decomposition processing on the cleaning liquid according to the heating temperature range, and collect the cleaning liquid products and thermal decomposition data during the thermal decomposition processing of the cleaning liquid;

[0116] The thermal stability analysis module 103 is configured to analyze the thermal stability corresponding to the cleaning liquid products according to the thermal decomposition data;

[0117] The functional group analysis module 104 is configured to perform infrared scanning on the cleaning liquid products by using a preset infrared spectroscopy device to obtain a product vibration spectrum, extract spectral characterization information from the product vibration spectrum, and analyze the product functional groups in the cleaning liquid products according to the spectral characterization information;

[0118] The degradation path analysis module 105 is configured to perform mass spectrometry analysis on the cleaning liquid products to obtain product mass spectrometry data, calculate the mass-to-charge ratio corresponding to the cleaning liquid products according to the product mass spectrometry data, and analyze the thermal degradation path corresponding to the cleaning liquid by combining the mass-to-charge ratio and the product functional groups;

[0119] The heating processing module 106 is configured to determine the thermal sensitivity threshold corresponding to the cleaning liquid by combining the thermal degradation path, the thermal stability, and the key material composition, and perform heating processing on the cleaning liquid according to the thermal sensitivity threshold to obtain a heating result.

[0120] Specifically, each module in the heating system 100 for realizing the cleaning liquid in the embodiments of the present application adopts the same technical means as those in the above Figure 1 and can produce the same technical effects, which will not be elaborated here.

[0121] In several embodiments provided by the present invention, it should be understood that the provided methods and systems can be implemented in other ways. For example, the method embodiments described above are merely illustrative. For example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0122] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for heating a cleaning liquid, characterized in that: The method comprises: Obtaining the cleaning liquid to be heated and the material formula table corresponding to the cleaning liquid, and analyzing the key material components of the cleaning liquid from the material formula table; Scheduling the preparation data of the cleaning liquid, combining the material composition and the preparation data, setting a heating temperature range corresponding to the cleaning liquid, performing a thermal decomposition treatment on the cleaning liquid according to the heating temperature range, and collecting cleaning liquid products and thermal decomposition data of the cleaning liquid during the thermal decomposition treatment; Analyzing the thermal stability of the cleaning liquid product according to the thermal decomposition data; Using a preset infrared spectroscopy device to perform infrared scanning on the cleaning liquid product to obtain a vibration spectrum of the product, extracting spectral characterization information from the vibration spectrum of the product, and analyzing product functional groups in the cleaning liquid product according to the spectral characterization information; Performing mass spectrometry analysis on the cleaning liquid product to obtain product mass spectrometry data, calculating the product mass-to-charge ratio corresponding to the cleaning liquid product according to the product mass spectrometry data, and analyzing the thermal degradation path corresponding to the cleaning liquid by combining the product mass-to-charge ratio and the product functional group; In combination with the thermal degradation path, the thermal stability and the key material components, the thermal sensitivity threshold corresponding to the cleaning liquid is determined, and according to the thermal sensitivity threshold, the cleaning liquid is heated to obtain a heating result.

2. A method for heating a cleaning liquid according to claim 1, characterized in that: The step of analyzing the key material components of the cleaning solution from the formula material table includes: Identify the names of the ingredients in the formula material table, and count the content of each ingredient in the ingredient name; Query the component name and the component function and the cleaning function corresponding to the cleaning solution, and analyze the functional similarity between the component function and the cleaning function; In combination with the functional similarity and the component content, the key material components of the cleaning solution are analyzed from the formula material table.

3. A method for heating a cleaning liquid as claimed in claim 2, characterized in that: The analyzing the functional similarity between the component function and the cleaning function comprises: Extracting function labels corresponding to the component functions and the cleaning functions; According to the function labels, clustering is performed on the component functions and the cleaning functions to obtain cluster functions; Performing semantic analysis on each function in the clustering function to obtain a clustering function interpretation; The similarity between the interpretations of clustered functions is calculated by the following formula: Among them, S represents the similarity between the interpretations of clustered functions, and E i represents the vector corresponding to the i-th interpretation in the cluster function interpretation, E i+1 represents the vector corresponding to the i+1th interpretation in the cluster function interpretation, |E i | and |E i+1 |represent the vector norms corresponding to the i-th and i+1-th interpretations in the clustering function interpretations, respectively; i and i+1 represent the serial numbers of the clustering function interpretations, respectively. According to the interpretation similarity, the functional similarity between the component function and the cleaning function is obtained.

4. A method for heating a cleaning liquid according to claim 1, characterized in that: The step of setting the heating temperature range corresponding to the cleaning liquid in combination with the material composition and the preparation data includes: Derived the material chemical formula corresponding to the material component, and determined the chemical composition corresponding to the material component according to the material chemical formula; Querying the thermal decomposition temperature corresponding to the chemical composition, performing abnormal elimination processing on the preparation data, and obtaining target preparation data; Extracting the preparation temperature in the target preparation data, and calculating the average temperature value corresponding to the preparation temperature; In combination with the average temperature value and the thermal decomposition temperature, a heating temperature interval corresponding to the cleaning liquid is set.

5. A method for heating a cleaning liquid as claimed in claim 1, characterized in that: The step of analyzing the thermal stability of the cleaning liquid product according to the thermal decomposition data includes: extracting thermal variables and thermal variable values ​​from the thermal decomposition data; constructing a thermal decomposition curve corresponding to the thermal decomposition data according to the thermal variables and the thermal variable values; Identifying a curve baseline value and a curve peak value in the thermal decomposition curve, and calculating a product enthalpy change value corresponding to the cleaning liquid product according to the curve starting value and the curve peak value; Analyze the dynamic trend of the curve corresponding to the thermal decomposition curve, and analyze the dynamic behavior of the reaction corresponding to the cleaning liquid product according to the dynamic trend of the curve; The thermal stability of the cleaning liquid product is analyzed in combination with the product enthalpy change value and the reaction dynamic behavior.

6. A method for heating a cleaning liquid according to claim 1, characterized in that: The step of extracting spectral characterization information from the vibration spectrum of the product comprises: Performing noise reduction processing on the vibration spectrum of the product to obtain a noise-reduced vibration spectrum; Performing baseline correction on the noise-reduced vibration spectrum to obtain a correction product spectrum; mining the absorption peak information of each spectral absorption peak in the correction product spectrum; Analyzing information indicators corresponding to the absorption peak information, and identifying structure-activity association indicators from the information indicators; The absorption peak information is screened and processed according to the structure-activity association index to obtain spectral characterization information in the product vibration spectrum.

7. A method for heating a cleaning liquid according to claim 1, characterized in that: The step of analyzing the functional groups of the cleaning liquid product according to the spectral characterization information comprises: Extracting a spectral frequency set from the spectral characterization information, and respectively calculating a frequency average value and a frequency standard deviation corresponding to the spectral frequency set; Calculate the spectral symmetry of the cleaning liquid product by combining the spectral frequency set, the frequency average and the frequency standard deviation; The frequency peak in the spectral frequency concentration is identified, and the product functional groups in the cleaning liquid product are analyzed by combining the frequency peak and the spectral symmetry.

8. A method for heating a cleaning liquid as claimed in claim 7, characterized in that: The step of calculating the spectral symmetry of the cleaning liquid product by combining the spectral frequency set, the frequency average value and the frequency standard deviation comprises: Counting the number of frequencies corresponding to the spectral frequency set; Combining the frequency quantity, the spectral frequency set, the frequency average and the frequency standard deviation, the spectral symmetry of the cleaning liquid product is calculated by the following formula: Where A represents the spectral symmetry of the cleaning liquid product, n represents the number of frequencies, and D a represents the ath frequency in the spectral frequency set, a represents the serial number of the spectral frequency in each frequency set in the spectral frequency set, represents the frequency mean, and s represents the frequency standard deviation.

9. A method for heating a cleaning liquid as claimed in claim 1, characterized in that: The step of combining the mass spectrum data of the product and the functional groups of the product to analyze the thermal degradation path corresponding to the cleaning solution comprises: Smoothing the product mass spectrum data to obtain smoothed mass spectrum data; Constructing a product mass spectrum corresponding to the cleaning liquid product according to the smoothed mass spectrum data; Identifying a product mass-to-charge ratio and a product mass spectrum peak in the product mass spectrum; Deducing product fragment ions corresponding to the cleaning liquid product according to the mass-to-charge ratio of the product; The thermal degradation pathway corresponding to the cleaning solution is analyzed by combining the product fragment ions and the product functional groups.

10. A system for heating a cleaning fluid, characterized in that: The system comprises: A component analysis module, used to obtain the cleaning liquid to be heated and the formula material table corresponding to the cleaning liquid, and analyze the key material components of the cleaning liquid from the formula material table; a thermal decomposition processing module, for scheduling the preparation data of the cleaning liquid, combining the material composition and the preparation data, setting a heating temperature range corresponding to the cleaning liquid, performing thermal decomposition processing on the cleaning liquid according to the heating temperature range, and collecting cleaning liquid products and thermal decomposition data of the cleaning liquid during the thermal decomposition processing; A thermal stability analysis module, used for analyzing the thermal stability corresponding to the cleaning liquid product according to the thermal decomposition data; A functional group analysis module, used to perform infrared scanning on the cleaning liquid product using a preset infrared spectroscopy device to obtain a product vibration spectrum, extract spectral characterization information from the product vibration spectrum, and analyze product functional groups in the cleaning liquid product according to the spectral characterization information; A degradation pathway analysis module, used to perform mass spectrometry analysis on the cleaning liquid product to obtain product mass spectrum data, calculate the product mass-to-charge ratio corresponding to the cleaning liquid product according to the product mass spectrum data, and analyze the thermal degradation pathway corresponding to the cleaning liquid by combining the product mass-to-charge ratio and the product functional group; The heating treatment module is used to determine the thermal sensitivity threshold corresponding to the cleaning liquid in combination with the thermal degradation path, the thermal stability and the key material components, and perform heating treatment on the cleaning liquid according to the thermal sensitivity threshold to obtain a heating result.

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