Building material chemical component weight quantitative analysis method and detection system

Abstract

The invention provides a building material chemical component weight quantitative analysis method and detection system, and the method comprises the following steps: weighing a to-be-detected building material sample, and preparing a to-be-detected solution; measuring the total mass of the container and the solution through high-precision weighing equipment, and calculating the total mass of the to-be-measured solution by combining the mass of the empty container; a part of the solution to be detected is separated according to the preset mass, and the mass of the separated solution is obtained; automatically calculating a split mass ratio according to the mass of the split solution and the total mass of the solution to be detected; performing chemical component determination on the separated solution to obtain component detection data; and calculating the percentage content of the target chemical component in the original sample based on the divided mass proportion and the component detection data. According to the technical scheme, through an innovative weight measurement detection technology, the detection process is simplified, the detection precision and accuracy are improved, and the influence of measurement uncertainty factors is reduced.

Description

Technical Field

[0001] This invention relates to the field of chemical composition analysis and testing technology in the building materials industry, specifically to a method and testing system for quantitative analysis of chemical composition in building materials by weight. It is mainly used to achieve a more efficient and accurate quantitative analysis process by weight measurement when performing chemical composition analysis on various samples. Background Technology

[0002] In the quality control and performance research of building materials (such as cement, concrete, gypsum, ceramics, etc.), accurate determination of their chemical composition (such as calcium oxide, magnesium oxide, ferric oxide, aluminum oxide, etc.) is crucial. Currently, the industry generally adopts traditional chemical analysis methods based on volumetric titration. A typical procedure includes: accurately weighing the sample, acid dissolution or melting decomposition, making up to volume in a volumetric flask, transferring a certain volume of solution, and then quantifying the composition by complexometric titration (such as EDTA titration) or instrumental analysis.

[0003] However, this method has significant limitations. First, the operation is cumbersome, involving multiple steps that rely on manual intervention (such as volume adjustment, pipetting, and titration reading), which is not only time-consuming and labor-intensive but also requires high skill levels from operators. Second, there are numerous sources of measurement uncertainty—weighing errors of the balance, volumetric flask volume deviations, pipette calibration errors, parallax of burette readings, and fluctuations in environmental temperature and humidity can all introduce systematic or random errors, and these errors are easily accumulated and amplified in multiple steps, causing the final result to deviate from the true value. Third, due to the complexity of the process and its high dependence on glass volumetric instruments and manual operation, it is difficult to achieve full automation, which seriously restricts the development of testing efficiency and the needs of intelligent laboratories.

[0004] Volumetric metrology, as a mainstream current testing technology, relies on volumetric instruments such as volumetric flasks, pipettes, and burettes to perform quantitative analysis of samples. However, its measurement uncertainty comes from many sources. In the weighing process, the weighing error of the balance is unavoidable; the accuracy and stability of the balance, as well as environmental factors during weighing, can all lead to deviations in the weighing results. In the volume determination process, the volumetric flask's volumetric error will affect the accuracy of the determination; the manufacturing precision of the volumetric flask and the effect of temperature changes on its volume can all introduce errors. In the pipetting process, the pipette's transfer error cannot be ignored; the calibration accuracy of the pipette and the degree of standardization in the operation will affect the accuracy of the transferred volume. In the titration process, the burette's reading error will also affect the titration results; the burette's scale accuracy and the viewing angle during reading can all lead to inaccurate readings.

[0005] In summary, the volumetric metrology method has a lengthy operation process, is susceptible to multiple uncertainties, and is difficult to automate. It is inadequate to meet the growing demand for intelligent laboratories and cannot adapt to the development trend of efficient, accurate, and automated intelligent laboratories. Therefore, a technical solution is needed that simplifies the testing process, improves the accuracy and precision of testing, reduces the impact of measurement uncertainty factors, and significantly reduces the difficulty of automation through innovative gravimetric testing technology. This solution would meet the urgent needs of modern intelligent laboratories for efficient, accurate, and automated testing, bringing new technological breakthroughs and development directions to the field of chemical composition analysis and testing. Summary of the Invention

[0006] This application aims to provide a method and detection system for quantitative analysis of chemical components in building materials by weight. Through innovative gravimetric detection technology, it simplifies the detection process, improves detection precision and accuracy, reduces the impact of measurement uncertainty factors, and significantly reduces the difficulty of automation. It meets the urgent needs of modern intelligent laboratories for efficient, accurate, and automated detection, bringing new technological breakthroughs and development directions to the field of chemical component analysis and detection.

[0007] According to one aspect of this application, a method for quantitative analysis of chemical components in building materials by weight is provided, comprising: Weigh the building material sample to be tested and prepare the test solution; The solution to be tested is placed in a container of known mass, and the total mass of the container and the solution is measured using a high-precision weighing device. The total mass of the solution to be tested is then calculated by combining the mass of the empty container. A portion of the solution to be tested is separated from the solution to be tested according to a preset mass using a high-precision separation device, and the mass of the separated solution is obtained. The ratio of the separated mass to the total mass of the solution to be tested is automatically calculated based on the mass of the separated solution and the total mass of the solution to be tested. The chemical composition of the separated solution was determined to obtain component detection data; Based on the stated mass fraction and the component detection data, the percentage content of the target chemical component in the original sample is calculated.

[0008] According to some embodiments, a high-precision dispensing device is used to dispense a portion of the solution to be tested according to a preset mass, and the mass of the dispensed solution is obtained, including: A portion of the solution is dispensed using an automatic pipette, peristaltic pump, or a liquid dispensing device with quality feedback control, and the dispensing quality is verified in real time by weighing.

[0009] According to some embodiments, the chemical composition of the aliquoted solution is determined by photoelectric titration, potentiometric titration, or complexometric titration.

[0010] According to some embodiments, based on the sampling mass ratio and the component detection data, the percentage content of the target chemical component in the original sample is calculated, including: Based on the stated mass ratio and the component detection data, the algorithm model automatically calculates the percentage content of the target chemical component in the original sample, avoiding errors introduced by manual calculation.

[0011] According to another aspect of this application, a detection system for quantitative analysis of chemical components in building materials by weight is provided, comprising: a mass measurement and solution separation unit, a detection unit, and a data analysis unit. The mass measurement and solution dispensing unit includes a high-precision weighing device and an automatic solution dispensing device, used to measure the mass of the solution and accurately dispense the solution according to the mass. The detection unit includes an automatic titration device for determining the composition of the sampled solution and outputting titration data; The data analysis unit is communicatively connected to the mass measurement and solution separation unit and the detection unit. It is used to receive mass data and titration data, automatically calculate the separation ratio and the percentage content of the target component in the sample, and generate a test report.

[0012] According to some embodiments, the mass measurement and solution dispensing unit is configured as follows: The containers holding the liquid were weighed before and after the separation, and the mass of the separated solution was determined by the mass difference.

[0013] According to some embodiments, the measurement accuracy of the high-precision weighing device is not less than 0.1 mg, and it has environmental temperature and humidity compensation or isolation functions to ensure weighing stability.

[0014] According to some embodiments, the detection unit uses a photoelectric sensor or a potential sensor to monitor the titration endpoint in real time and automatically records the amount of standard titration solution consumed.

[0015] According to some embodiments, the data analysis unit integrates functional modules for data storage, querying, calibration management, and interface with a laboratory information management system (LIMS).

[0016] According to some embodiments, the method described in any of the preceding embodiments is applied in the quantitative analysis of principal components or impurity elements in samples of cement, concrete, gypsum, ceramics or other inorganic non-metallic building materials.

[0017] According to another aspect of this application, a computing device is provided, comprising: Processor; and A memory storing a computer program that, when executed by the processor, causes the processor to perform the method described in any of the preceding methods.

[0018] According to another aspect of this application, a non-transitory computer-readable storage medium is provided, having stored thereon computer-readable instructions that, when executed by a processor, cause the processor to perform the method as described in any of the preceding claims.

[0019] According to embodiments of this application, precise control can be achieved through programming via data interaction and collaborative work between units, reducing human intervention. The data analysis unit 03, with its built-in intelligent algorithm, can automatically process large amounts of data and generate detailed test reports, achieving a high degree of automation and intelligence. Furthermore, the system design considers seamless integration with other automated equipment and Laboratory Information Management Systems (LIMS), providing technical support for the construction of intelligent laboratories and contributing to the intelligent upgrading of the testing industry. This invention abandons volumetric instruments prone to error, instead relying on high-precision weighing equipment for mass measurement. Compared to traditional volumetric flasks, pipettes, and burettes, the metrological characteristics of the testing system of this invention are greatly optimized, providing higher measurement accuracy and stability.

[0020] It should be understood that the above general description and the following detailed description are merely exemplary and do not limit this application. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below.

[0022] Figure 1 A flowchart of a method for quantitative analysis of chemical components in building materials according to an example embodiment is shown.

[0023] Figure 2 A schematic diagram of a detection system for quantitative analysis of chemical components in building materials, according to an example embodiment, is shown.

[0024] Figure 3 A block diagram of a computing device according to an exemplary embodiment is shown. Detailed Implementation

[0025] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the embodiments set forth herein; rather, they are provided so that the invention will be thorough and complete, and the concept of the exemplary embodiments will be fully conveyed to those skilled in the art. The same reference numerals in the drawings denote the same or similar parts, and therefore repeated descriptions of them will be omitted.

[0026] Furthermore, the described features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. Numerous specific details are provided in the following description to give a full understanding of embodiments of the invention. However, those skilled in the art will recognize that the technical solutions of the invention can be practiced without one or more of the specific details, or other methods, components, apparatuses, steps, etc., can be employed. In other instances, well-known methods, apparatuses, implementations, or operations are not shown or described in detail to avoid obscuring various aspects of the invention.

[0027] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.

[0028] The flowcharts shown in the accompanying drawings are merely illustrative and do not necessarily include all content and operations / steps, nor do they necessarily have to be performed in the described order. For example, some operations / steps can be broken down, while others can be combined or partially combined; therefore, the actual execution order may change depending on the specific circumstances.

[0029] It should be understood that although the terms first, second, third, etc., may be used herein to describe various components, these components should not be limited by these terms. These terms are used to distinguish one component from another. Therefore, the first component discussed below may be referred to as the second component without departing from the teachings of the present invention. As used herein, the term "and / or" includes all combinations of any one and more of the associated listed items.

[0030] The user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties. Furthermore, the collection, use and processing of the relevant data must comply with the relevant laws, regulations and standards of the relevant countries and regions, and corresponding operation entry points are provided for users to choose to authorize or refuse.

[0031] Those skilled in the art will understand that the accompanying drawings are merely schematic diagrams of exemplary embodiments, and the modules or processes in the drawings are not necessarily necessary for implementing this application, and therefore cannot be used to limit the scope of protection of this application.

[0032] In the field of chemical composition analysis, determining the percentage content of sample components is crucial for studying material properties and quality control. Traditional volumetric metrology is currently the most common method for determining the percentage content of sample components, but its typical process is quite complex. It requires weighing the sample, dissolving it, making up to volume, aliquoting a certain volume of solution, and finally performing analysis using methods such as complexometric titration or instrumental analysis. This traditional technique has several significant limitations. The operation is cumbersome, involving multiple steps, each requiring precise control by the operator; otherwise, the final result may be affected. Furthermore, the cumbersome steps consume a significant amount of time and effort, resulting in low efficiency. Because multiple steps are involved, each step can introduce errors, which accumulate and amplify in subsequent analyses, ultimately leading to a large deviation between the test results and the true values. Moreover, the complex operation and numerous manual interventions make it difficult to automate the process, failing to meet the demands of modern high-efficiency testing. When dealing with a large volume of testing tasks, labor and time costs increase significantly. Volumetric metrology, as a mainstream testing technology, relies on volumetric instruments such as volumetric flasks, pipettes, and burettes for quantitative analysis of samples. However, its measurement uncertainty stems from numerous sources. In the weighing process, the weighing error of the balance is unavoidable; the balance's accuracy and stability, as well as environmental factors during weighing, can all lead to deviations in the weighing results. In the volume determination process, the volumetric flask's volumetric error affects the accuracy of the determination; the manufacturing precision of the flask and the effect of temperature changes on its volume can all introduce errors. In the pipetting process, the pipette's transfer error cannot be ignored; the pipette's calibration accuracy and the degree of adherence to operational procedures during use can all affect the accuracy of the transferred volume. In the titration process, the burette's reading error also affects the titration results; the burette's scale accuracy and the viewing angle during reading can both lead to inaccurate readings. In summary, the volumetric metrology method has a lengthy operation process, is susceptible to multiple uncertainties, and is difficult to automate. It is inadequate to meet the growing demand for intelligent laboratories and cannot adapt to the development trend of efficient, accurate, and automated intelligent laboratories. Therefore, this application proposes a method and detection system for quantitative analysis of chemical components in building materials by weight. Through innovative gravimetric detection technology, the detection process is simplified, the detection precision and accuracy are improved, the influence of measurement uncertainty factors is reduced, and the difficulty of automation is significantly reduced. This meets the urgent needs of modern intelligent laboratories for efficient, accurate, and automated detection, and brings new technological breakthroughs and development directions to the field of chemical component analysis and detection.

[0033] The following description, in conjunction with the accompanying drawings, illustrates exemplary embodiments of this application.

[0034] Figure 1A flowchart of a method for quantitative analysis of chemical components in building materials according to an example embodiment is shown.

[0035] See Figure 1 The figure shows a method for quantitative analysis of chemical composition of building materials by weight. In S101, the building material sample to be tested is weighed and the test solution is prepared.

[0036] According to some embodiments, a high-precision balance is used to accurately weigh an appropriate amount of the sample to be tested. Based on the properties and composition characteristics of the sample, a suitable decomposition reagent and decomposition method are selected to completely decompose the sample into a solution state, ensuring that all components in the sample are fully dissolved. In S103, the solution to be tested is placed in a container of known mass, and the total mass of the container and the solution is measured by a high-precision weighing device. The total mass of the solution to be tested is calculated by combining the mass of the empty container.

[0037] According to some embodiments, the decomposed solution is transferred to a container that does not affect the solution properties and is easy to weigh, such as a calibrated beaker. Using a high-precision weighing device in the mass measurement unit, the mass of the container before and after adding the solution is measured separately. The total mass of the solution is accurately obtained by calculating the difference between the two masses. During the weighing process, necessary environmental control measures are taken, such as maintaining stable temperature and humidity in the weighing environment, to avoid interference from external factors on the weighing results.

[0038] In S105, a portion of the solution to be tested is separated from the solution to be tested according to a preset mass using a high-precision separation device to obtain the mass of the separated solution.

[0039] According to some embodiments, a high-precision separation device is used to accurately separate a certain mass of solution from a solution for subsequent testing, according to preset quality requirements. The separation device has a high-precision quality control function, which can ensure the accuracy of the separated solution quality, and minimize solution residue and loss during the separation process to ensure separation accuracy. According to some embodiments, partial solution dispensing can be achieved using an automatic pipette, a peristaltic pump, or a liquid dispensing device with mass feedback control, and the dispensing mass can be verified in real time by weighing. The mass feedback control mechanism includes: real-time monitoring of the mass change of the receiving container holding the dispensing solution during the dispensing process, and feeding this mass signal back to the control system; when the mass of the dispensing solution reaches a preset value, the control system immediately stops liquid delivery, thereby achieving precise dispensing by mass. Furthermore, to ensure the accuracy of the dispensing mass, the container can be weighed before and after dispensing, and the actual mass of the dispensed solution can be determined by the mass difference; or a continuous weighing mode can be used to dynamically track the mass increment during the dispensing process, achieving closed-loop control and real-time verification. This method effectively avoids errors caused by factors such as temperature, liquid viscosity, and tube wall residue in traditional volume transfer, significantly improving dispensing accuracy and method reproducibility.

[0040] In S107, the mass ratio of the sampled solution is automatically calculated based on the mass of the sampled solution and the total mass of the solution to be tested.

[0041] According to some embodiments, the mass ratio of the dispensed solution is automatically calculated based on the mass of the dispensed solution and the total mass of the solution to be tested. The mass of the dispensed solution is compared with the previously measured total mass of the solution, and the mass ratio of the dispensed solution is obtained through precise calculation.

[0042] In S109, the chemical composition of the separated solution is determined to obtain component detection data.

[0043] According to some embodiments, the chemical composition of the separated solution is determined using photoelectric titration, potentiometric titration, or complexometric titration. For the separated solution, photoelectric titration, potentiometric titration, or complexometric titration are used to detect the chemical components and obtain relevant data for each component in the solution. During the detection process, the relevant testing standards and operating procedures are strictly followed to ensure the reliability of the detection data.

[0044] In S111, based on the sampling mass ratio and the component detection data, the percentage content of the target chemical component in the original sample is calculated.

[0045] According to some embodiments, the final detection results, such as the percentage content of sample components, are calculated by combining the sampling ratio and data obtained from conventional testing. Based on the sampling mass ratio and the component detection data, the percentage content of the target chemical component in the original sample is automatically calculated through an algorithm model, avoiding errors introduced by manual calculation. Figure 2 A schematic diagram of a detection system for quantitative analysis of chemical components in building materials, according to an example embodiment, is shown.

[0046] See Figure 2 The figure illustrates a detection system for quantitative analysis of chemical components in building materials by weight, comprising: a mass measurement and solution dispensing unit 01, a detection unit 02, and a data analysis unit 03. It aims to overcome the problems of cumbersome operation, large errors, and difficulty in automation associated with traditional volumetric metrology methods. By employing gravimetric analysis technology, it simplifies the detection process, improves detection precision and accuracy, and reduces the impact of measurement uncertainty factors. Furthermore, its simplified detection process makes automation easier, meeting the demands of modern intelligent laboratories for efficient, accurate, and automated testing.

[0047] According to some embodiments, the mass measurement and solution dispensing unit 01 includes a high-precision weighing device and an automatic solution dispensing device, used to measure the mass of the solution and accurately dispense the solution according to its mass. The mass measurement and solution dispensing unit 01 includes a mass detection unit 02 and a solution dispensing unit. The core component of the mass measurement unit is a high-precision weighing device used to accurately measure the mass of the sample solution and related containers. The solution dispensing unit performs the solution dispensing task, with the core component being a solution transfer device, which completes the dispensing task according to the user-preset dispensing volume. The mass measurement and solution dispensing unit 01 is configured to: weigh the liquid-containing containers before and after dispensing, and determine the mass of the dispensed solution by the mass difference. A powder sample from the building materials field to be tested is prepared into a test solution after weighing and decomposition steps. The mass measurement unit accurately measures its mass, and the solution dispensing unit completes the dispensing. The mass measurement unit then remeasures the reduced mass in the container. The high-precision weighing device has a measurement accuracy of not less than 0.1 mg and has environmental temperature and humidity compensation or isolation functions to ensure weighing stability. The weighing device possesses high sensitivity and stability, enabling it to acquire mass data quickly and accurately, with an accuracy meeting the high precision requirements for chemical composition analysis. Furthermore, this unit is equipped with a dedicated mass data acquisition, transmission, and calculation unit, capable of acquiring, calculating, and transmitting the measured mass data to the data analysis unit 03 in real time.

[0048] According to some embodiments, the detection unit 02 includes an automatic titration device for determining the composition of a sampled solution and outputting titration data. The detection unit 02 uses a photoelectric sensor or a potentiometric sensor to monitor the titration endpoint in real time and automatically records the consumption of the standard titration solution. The core component of the detection unit 02 is the automatic titration device, which achieves automatic component determination through photoelectric titration or potentiometric titration principles. It can determine the content of calcium oxide, magnesium oxide, ferric oxide, aluminum oxide, etc., in the test solution and transmit the determination data to the data analysis unit 03.

[0049] According to some embodiments, the automatic titration device integrates a photoelectric sensor or a potential sensor to monitor changes in the optical signal or potential jumps of the reaction system in real time during the titration process, thereby accurately identifying the titration endpoint. Simultaneously, the device is equipped with a high-precision metering pump or burette control module, which can automatically record the volume of standard titration solution consumed when the titration endpoint is reached, and transmit this volume data as a key titration parameter to the data analysis unit 03. This achieves full automation of the titration process and objectivity of endpoint judgment, effectively avoiding subjective errors caused by manual visual interpretation, and significantly improving the accuracy and reproducibility of determining components such as CaO, MgO, Fe2O3, and Al2O3 in building material samples.

[0050] According to some embodiments, the data analysis unit 03 is communicatively connected to the mass measurement and solution extraction unit 01 and the detection unit 02, and is used to receive mass data and titration data, automatically calculate the extraction ratio and the percentage content of the target component in the sample, and generate a test report. The data analysis unit 03 is configured to receive in real time the total mass of the solution and the mass of the extracted solution from the mass measurement and solution extraction unit 01, and the consumption of standard titration solution and the titration endpoint signal from the detection unit 02, etc. Based on the received data, the data analysis unit 03 automatically calculates the extraction mass ratio, and, combined with preset stoichiometric relationships and standard solution concentrations, accurately determines the mass percentage content of the target chemical component (such as CaO, MgO, Fe2O3, Al2O3, etc.) in the original building material sample, and finally automatically generates a structured test report.

[0051] According to some embodiments, the data analysis unit 03 integrates functional modules for data storage, querying, calibration management, and interface with a Laboratory Information Management System (LIMS). Furthermore, the data analysis unit 03 integrates a data storage module, a historical record query module, an instrument calibration management module, and a standardized communication interface, supporting seamless interface with the LIMS. Through this integrated architecture, the system can achieve long-term traceability of test data, multi-user access control, equipment status monitoring, and remote data sharing, meeting the needs of modern intelligent laboratories for efficient, compliant, and auditable analysis processes.

[0052] According to some embodiments, the data analysis unit 03, acting as the brain of the entire system, is responsible for receiving mass data transmitted from the mass measurement unit and titration data transmitted from the detection unit 02. Through built-in data analysis algorithms and software, it calculates the mass ratio of the sampled solution to obtain key detection results such as the percentage content of the analyte in the sample. Simultaneously, this unit also has data storage, query, and report generation functions, allowing users to easily view and manage the detection data at any time.

[0053] According to some embodiments, the gravimetric method for quantitative analysis of chemical components provided by this invention is not only suitable for laboratory standard sample verification, but can also be widely applied in actual testing scenarios of various inorganic non-metallic building materials, including the quantitative analysis of main components or impurity elements in cement, concrete, gypsum, ceramics, or other inorganic non-metallic building material samples. Specifically, in cement sample analysis, this method can be used to accurately determine the content of major oxides such as calcium oxide (CaO), magnesium oxide (MgO), ferric oxide (Fe2O3), and aluminum oxide (Al2O3), meeting the accuracy requirements for main component detection in GB / T 176 "Cement Chemical Analysis Methods". Since cement samples usually contain trace amounts of harmful impurities such as chloride ions and alkali metals (K2O, Na2O), this method can also achieve high-precision quantification of these impurity elements by adjusting the titration system or combining with other detection methods (such as ion-selective electrodes). The method does not rely on volumetric quantification and is suitable for solution analysis after pretreatment of various building material samples. It has the advantages of simple operation, high accuracy, and good repeatability, meeting the actual needs of the building materials industry for quantitative analysis of main components and harmful impurity elements.

[0054] Taking the determination of calcium oxide (CaO) content in cement samples as an example, this paper details the specific application of the gravimetric quantitative analysis scheme and supporting detection system established in this invention.

[0055] Step 1: Weigh the sample and decompose it. 1. Using an analytical balance connected to the system's mass measurement unit, accurately weigh approximately 0.2 g of cement sample (denoted as m1), accurate to 0.0001 g. Prepare approximately 100 mL of the sample solution through a pretreatment step and place it in a clean, dry beaker. Weigh the beaker using the mass measurement unit (denoted as m2).

[0056] Step 2: Weigh the solution and transfer it to a final volume. Place the beaker containing the solution on the balance of the mass measurement unit for accurate weighing, and record the total mass (m3) of the solution and the beaker at this time.

[0057] Step 3: Dispensing the solution and calculating the dispensing ratio The system's solution dispensing unit (such as a high-precision automatic pipette or peristaltic pump system) is activated. This unit dispenses 25.00 mL of solution from a beaker containing the solution and transfers it to a 250 mL Erlenmeyer flask (or a dedicated titration cup). The mass of the beaker and the remaining solution after dispensing is m4. The mass of the dispensed solution is obtained through the mass measurement unit (m5, m5 = m3 - m4), and then the data analysis unit 03 automatically calculates and records the proportion (K) of this dispensing, K = m5 / (m3 - m2).

[0058] Step 4: Composition determination (photoelectric / potential titration) Add approximately 150 mL of pure water to the conical flask (or a dedicated titration cup). Add 5 mL of triethanolamine (1+2) to mask interfering ions such as iron and aluminum, add an appropriate amount of calcein-methyl thymol blue-phenolphthalein mixed indicator, stir thoroughly, and then add 12 mL of potassium hydroxide solution. Place the conical flask (or dedicated titration cup) under the detection unit 02 of the system. Activate the photoelectric sensor and titrate with a 0.015 mol / L disodium ethylenediaminetetraacetate (EDTA) standard titration solution. During the titration, the detection unit 02 monitors the change in absorbance of the solution in real time. When the fluorescent green color of the solution fades to red, a sudden jump in absorbance occurs, and the instrument automatically determines this as the titration endpoint, recording the volume of EDTA standard titration solution consumed. V 1).

[0059] Formula for calculating calcium oxide content: .

[0060] in: c Concentration of EDTA standard titration solution (mol / L). M CaO Molar mass of calcium oxide (56.08 g / mol).

[0061] The results of gravimetric analysis combined with photoelectric titration to determine the calcium oxide content in a cement sample are as follows: Table 1. Test data of calcium oxide content in a cement sample by gravimetric analysis combined with photoelectric titration.

[0062] The average calcium oxide content was 62.09%, with a standard deviation of 0.03% and a relative standard deviation of 0.05%.

[0063] According to some embodiments, the technical solution of the present invention, compared with traditional volumetric metrology techniques which require complex steps such as volume adjustment and precise pipetting, is cumbersome and time-consuming. The technical solution of the present invention only requires simple weighing and dispensing operations to complete the detection process, greatly simplifying the operation steps, reducing operational difficulty and labor intensity, and also reducing errors that may be introduced by multi-step operations. For example, in the process of component analysis, traditional methods may take several hours and require a high degree of concentration, while using the method of the present invention, the operator only needs to perform sample decomposition, and then quickly obtain results with the collaborative work of the mass measurement unit and the data analysis unit 03. The entire process is easier and significantly less time-consuming.

[0064] For comparison, taking the determination of calcium oxide (CaO) content in cement samples as an example, the traditional volumetric analysis method was used for detection. The experimental process and example data are as follows: Step 1: Preparation and volume adjustment of the sample solution Weigh approximately 0.5g of cement sample, accurate to 0.0001g. Pre-treat the sample to form a solution. After cooling to room temperature, transfer the solution to a 250mL volumetric flask, dilute with water to the mark, and shake well.

[0065] Step 2: Solution dispensing Transfer 25 mL of the solution from the volumetric flask in step one into a 300 mL beaker using a pipette.

[0066] Step 3: After adding potassium fluoride and letting it stand for 2 minutes, add triethanolamine reagent, dilute with water, adjust the pH, add an indicator, and titrate with EDTA standard titration solution to the endpoint. Calculate the content based on the volume of standard titration solution consumed.

[0067] The results of volumetric analysis of the calcium oxide content in a cement sample are as follows: Table 2. Test data of calcium oxide content in a cement sample determined by volumetric analysis.

[0068] The average calcium oxide content was 62.21%, with a standard deviation of 0.16% and a relative standard deviation of 0.26%.

[0069] In summary, through experimental comparison and verification, for the component detection of the same sample, the standard deviation of traditional volumetric metrology methods in multiple experiments is 0.16%, while the gravimetric analysis system of this invention can control the standard deviation to 0.03%, significantly improving the accuracy and precision of the detection results and making them closer to the true values.

[0070] According to some embodiments, the present invention abandons volumetric instruments that are prone to introducing errors, and instead relies on high-precision weighing equipment for mass measurement. Compared with traditional volumetric flasks, pipettes, and burettes, the metrological characteristics of the detection system of the present invention are greatly optimized, providing higher measurement accuracy and stability.

[0071] According to some embodiments, the technical solution of the present invention can achieve precise control through programming via data interaction and collaborative work between various units, reducing human intervention. The data analysis unit 03 with built-in intelligent algorithms can automatically process large amounts of data and generate detailed test reports, achieving a high degree of automation and intelligence. In addition, the system design takes into account seamless integration with other automated equipment and laboratory information management systems (LIMS), providing technical support for the construction of intelligent laboratories and helping to promote the intelligent upgrading of the testing industry.

[0072] Figure 3 A block diagram of a computing device according to an example embodiment of this application is shown.

[0073] like Figure 3 As shown, the computing device 30 includes a processor 12 and a memory 14. The computing device 30 may also include a bus 22, a network interface 16, and an I / O interface 18. The processor 12, memory 14, network interface 16, and I / O interface 18 can communicate with each other via the bus 22.

[0074] The processor 12 may include one or more general-purpose CPUs (Central Processing Units), microprocessors, or application-specific integrated circuits, for executing relevant program instructions. According to some embodiments, the computing device 30 may also include a high-performance display adapter (GPU) 20 for accelerating the processor 12.

[0075] Memory 14 may include a machine-readable medium in the form of volatile memory, such as random access memory (RAM), read-only memory (ROM), and / or cache memory. Memory 14 is used to store one or more programs containing instructions, as well as data. Processor 12 may read the instructions stored in memory 14 to perform the methods described above according to embodiments of this application.

[0076] The computing device 30 can also communicate with one or more networks via the network interface 16. The network interface 16 can be a wireless network interface.

[0077] Bus 22 can include address bus, data bus, control bus, etc. Bus 22 provides a path for exchanging information between components.

[0078] It should be noted that, in specific implementations, the computing device 30 may also include other components necessary for normal operation. Furthermore, those skilled in the art will understand that the device described above may only include the components necessary for implementing the embodiments of this specification, and not necessarily all the components shown in the figures.

[0079] This application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-described method. The computer-readable storage medium may include, but is not limited to, any type of disk, including floppy disks, optical disks, DVDs, CD-ROMs, microdrives, as well as magneto-optical disks, ROMs, RAMs, EPROMs, EEPROMs, DRAMs, VRAMs, flash memory devices, magnetic cards or optical cards, nanosystems (including molecular memory ICs), network storage devices, cloud storage devices, or any type of medium or device suitable for storing instructions and / or data.

[0080] This application also provides a computer program product including a non-transitory computer-readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods described in the above method embodiments.

[0081] Those skilled in the art will clearly understand that the technical solutions of this application can be implemented using software and / or hardware. In this specification, "unit" and "module" refer to software and / or hardware capable of independently performing or cooperating with other components to perform a specific function, where the hardware may be, for example, a field-programmable gate array (FPGA), integrated circuit, etc.

[0082] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0083] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0084] In the several embodiments provided in this application, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some service interface; the indirect coupling or communication connection between apparatuses or units may be electrical or other forms.

[0085] 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; that is, 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.

[0086] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0087] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage device. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application.

[0088] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0089] The exemplary embodiments of this application have been specifically shown and described above. It should be understood that this application is not limited to the detailed structures, arrangements, or implementation methods described herein; rather, this application is intended to cover various modifications and equivalent arrangements contained within the spirit and scope of the appended provisions.

Claims

1. A method for quantitative analysis of chemical components in building materials by weight, characterized in that, include: Weigh the building material sample to be tested and prepare the test solution; The solution to be tested is placed in a container of known mass, and the total mass of the container and the solution is measured using a high-precision weighing device. The total mass of the solution to be tested is then calculated by combining the mass of the empty container. A portion of the solution to be tested is separated from the solution to be tested according to a preset mass using a high-precision separation device, and the mass of the separated solution is obtained. The ratio of the separated mass to the total mass of the solution to be tested is automatically calculated based on the mass of the separated solution and the total mass of the solution to be tested. The chemical composition of the separated solution was determined to obtain component detection data; Based on the stated mass fraction and the component detection data, the percentage content of the target chemical component in the original sample is calculated.

2. The method according to claim 1, characterized in that, Using a high-precision separation device, a portion of the solution to be tested is separated according to a preset mass to obtain the mass of the separated solution, including: A portion of the solution is dispensed using an automatic pipette, peristaltic pump, or a liquid dispensing device with quality feedback control, and the dispensing quality is verified in real time by weighing.

3. The method according to claim 1, characterized in that, The chemical composition of the separated solution is determined by photoelectric titration, potentiometric titration, or complexometric titration.

4. The method according to claim 1, characterized in that, Based on the stated mass fraction and the component detection data, the percentage content of the target chemical component in the original sample is calculated, including: Based on the stated mass ratio and the component detection data, the algorithm model automatically calculates the percentage content of the target chemical component in the original sample, avoiding errors introduced by manual calculation.

5. A detection system for quantitative analysis of chemical components in building materials by weight, characterized in that, include: Mass measurement and solution dispensing unit, detection unit, data analysis unit, The mass measurement and solution dispensing unit includes a high-precision weighing device and an automatic solution dispensing device, used to measure the mass of the solution and accurately dispense the solution according to the mass. The detection unit includes an automatic titration device for determining the composition of the sampled solution and outputting titration data; The data analysis unit is communicatively connected to the mass measurement and solution separation unit and the detection unit. It is used to receive mass data and titration data, automatically calculate the separation ratio and the percentage content of the target component in the sample, and generate a test report.

6. The detection system according to claim 5, characterized in that, The mass measurement and solution dispensing unit is configured as follows: The containers holding the liquid were weighed before and after the separation, and the mass of the separated solution was determined by the mass difference.

7. The detection system according to claim 5, characterized in that, The high-precision weighing equipment has a measurement accuracy of no less than 0.1 mg and is equipped with environmental temperature and humidity compensation or isolation functions to ensure weighing stability.

8. The detection system according to claim 5, characterized in that, The detection unit uses a photoelectric sensor or a potential sensor to monitor the titration endpoint in real time and automatically records the amount of standard titration solution consumed.

9. The detection system according to claim 5, characterized in that, The data analysis unit integrates functional modules for data storage, querying, calibration management, and interface with the laboratory information management system.

10. The application of the method according to any one of claims 1-4 in the quantitative analysis of principal components or impurity elements in cement, concrete, gypsum, ceramics or other inorganic non-metallic building material samples.

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