Method and device for monitoring activity of admixture

Abstract

The invention discloses an admixture activity monitoring method and device, and the method comprises the steps: taking out a proper amount of sample from the center of an admixture to be monitored, and carrying out the pretreatment of the sample; putting the pretreated sample into an activity detection device, and detecting the activity of the admixture; acquiring the activity of each admixture of the n samples, constructing a comprehensive activity acquisition model, inputting the activity value of each admixture, and outputting a comprehensive activity value; comparing the obtained comprehensive activity value with a set activity threshold value, and judging whether the current to-be-monitored admixture meets the activity requirement or not; according to the comparison result, the activity monitoring report of the to-be-monitored admixture is output, on one hand, the real-time performance of the data is guaranteed, on the other hand, judgment is carried out according to the data obtained through the data processing model, the comparison result comprehensiveness is higher, and the accuracy of the overall activity reaction is higher.

Description

Technical Field

[0001] The invention relates to the technical field of building materials, and in particular to a method and a device for monitoring the activity of an admixture. Background Art

[0002] With the acceleration of global industrialization and urbanization, the amount of solid waste generated by human activities has increased dramatically. These solid wastes include industrial waste, construction waste, domestic garbage, etc. If not properly handled, they will cause serious pollution to the environment, occupy a large amount of land resources, and may cause a series of social and environmental problems. Therefore, improving the resource utilization efficiency of solid waste is not only conducive to environmental protection, but also an important means to achieve sustainable development.

[0003] In this context, the use of solid waste to prepare low-carbon admixtures has become a hot research direction. Low-carbon admixtures refer to solid waste that has been physically or chemically treated and used as a substitute for building materials such as cement and concrete. The use of these admixtures can reduce dependence on natural resources, reduce carbon emissions in the production process, and also solve some solid waste disposal problems.

[0004] However, in the process of preparing admixtures from solid waste, the activity of the admixture is a key indicator. Activity refers to the effect of the admixture in cement or concrete, including its chemical stability and reactivity. Admixtures with high activity can improve the strength and durability of concrete, while admixtures with low activity may lead to a decrease in concrete performance.

[0005] The existing admixture activity monitoring methods have the following problems:

[0006] Low monitoring accuracy: Traditional monitoring methods often rely on chemical analysis or laboratory testing, which are not only time-consuming but may also lead to inaccurate monitoring results due to improper sample handling and test conditions.

[0007] Complex operation: Some monitoring methods require professional operators and the operating steps are cumbersome, which not only increases the monitoring cost but also limits the popularization and application of the monitoring methods.

[0008] Poor real-time performance: Existing monitoring methods are often unable to achieve continuous and real-time monitoring, which leads to untimely response to changes in admixture activity and may affect the final quality of building materials.

[0009] Therefore, in order to solve these problems, it is necessary to develop a new admixture activity monitoring method and device that can achieve the goals of high accuracy, easy operation and real-time monitoring, so as to better serve the resource utilization of solid waste and the production of low-carbon building materials. Summary of the invention

[0010] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0011] In view of the problems existing in the above-mentioned existing admixture activity monitoring methods, the present invention is proposed.

[0012] Therefore, the technical problem solved by the present invention is to solve the problems of low monitoring accuracy, complex operation and poor real-time performance of the existing admixture activity monitoring method.

[0013] To solve the above technical problems, the present invention provides the following technical solutions: a method for monitoring the activity of an admixture, comprising the following steps: S1: taking an appropriate amount of sample from the center of the admixture to be monitored and pre-treating it; S2: placing the pre-treated sample into an activity detection device to detect the activity of the admixture; S3: obtaining the activity of each admixture of n samples, constructing a comprehensive activity acquisition model, inputting the activity value of each admixture, and outputting a comprehensive activity value; S4: comparing the obtained comprehensive activity value with the set activity threshold to determine whether the current admixture to be monitored meets the activity requirements; S5: outputting an activity monitoring report of the admixture to be monitored based on the comparison result.

[0014] As a preferred scheme of the admixture activity monitoring method described in the present invention, wherein: n appropriate amounts of samples are taken from the center of the admixture to be monitored according to the stratified sampling rule, and the n samples taken include the surface admixture sample and the innermost admixture sample; the pretreatment steps specifically include: drying, screening, grinding, mixing and homogenization steps.

[0015] As a preferred scheme of the admixture activity monitoring method described in the present invention, the pretreated sample is placed in an activity detection device, and the detection of the activity of the admixture specifically includes the following steps: H1: placing the pretreated sample into the sample chamber of the activity detection device; H2: starting the detection program through the control system of the activity detection device, so that the detection device performs activity detection on the sample; H3: the detection device outputs the activity value according to the detection result.

[0016] As a preferred embodiment of the admixture activity monitoring method of the present invention, the comprehensive activity acquisition model constructed is specifically:

[0017]

[0018] Among them, ω is the comprehensive activity value, α 1…n is the admixture activity of each sampling layer, n is the number of sampling layers, α表 is the activity of the most surface admixture sample, α 内 is the activity of the innermost admixture sample, and 1.035 and 1.41 are adjustment constants.

[0019] As a preferred scheme of the admixture activity monitoring method described in the present invention, the activity threshold is set as follows: for high activity, the activity threshold is 2.85; for medium activity, the activity threshold is 1.93; for low activity, the activity threshold is 1.26.

[0020] In order to solve the above technical problems, the present invention also provides the following technical solutions: an admixture activity monitoring device, using the above-mentioned admixture activity monitoring method, including the following components: a sampling component, taking out n appropriate amounts of samples from the center of the admixture to be monitored by tweezers or a sampling spoon; an activity detection device, starting the detection program through the control system, so that the detection device performs activity detection on the sample and outputs each activity value; a comprehensive calculation component, constructing a comprehensive activity acquisition model, inputting the activity value of each admixture, and outputting a comprehensive activity value; a comparison output component, connected to the data of the comprehensive calculation component, comparing the comprehensive activity value with a preset activity threshold, judging whether the admixture to be monitored currently meets the activity requirements, and synchronously outputting an activity monitoring report.

[0021] As a preferred solution of the admixture activity monitoring device described in the present invention, the sampling component adopts the rule of stratified sampling for overall sampling, and the n samples taken include the surface admixture sample and the innermost admixture sample.

[0022] As a preferred solution of the admixture activity monitoring device described in the present invention, it also includes a pretreatment component, and the sampling component places the sample into the pretreatment component for pretreatment after sampling; wherein the pretreatment steps specifically include: drying, screening, grinding, mixing and homogenization steps.

[0023] Beneficial effects of the present invention: The present invention provides a method and a monitoring device for the activity of an admixture. Compared with traditional monitoring means, the present invention adopts a stratified sampling rule for real-time sampling, constructs a comprehensive activity acquisition model after collecting multiple samples, obtains a comprehensive activity value, and compares it with a set threshold value, thereby improving the relative accuracy of the test result. Sampling is performed according to the real-time actual situation, which on the one hand ensures the real-time nature of the data, and on the other hand makes judgments based on the data after the data processing model comes out, so that the comparison results are more comprehensive and the accuracy of the overall activity reaction is higher, thereby solving the problems of low monitoring accuracy, complex operation and poor real-time nature of the existing admixture activity monitoring methods. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

[0025] Figure 1 The present invention provides a method flow chart of the method for monitoring the activity of admixtures.

[0026] Figure 2 A flow chart of the method for detecting the activity of an admixture provided by the present invention.

[0027] Figure 3 This is an overall system diagram of the admixture activity monitoring device provided by the present invention. DETAILED DESCRIPTION

[0028] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0029] The existing admixture activity monitoring methods have the following problems:

[0030] Low monitoring accuracy: Traditional monitoring methods often rely on chemical analysis or laboratory testing, which are not only time-consuming but may also lead to inaccurate monitoring results due to improper sample handling and test conditions.

[0031] Complex operation: Some monitoring methods require professional operators and the operating steps are cumbersome, which not only increases the monitoring cost but also limits the popularization and application of the monitoring methods.

[0032] Poor real-time performance: Existing monitoring methods are often unable to achieve continuous and real-time monitoring, which leads to untimely response to changes in admixture activity and may affect the final quality of building materials.

[0033] Therefore, please refer to Figure 1 The present invention provides a method for monitoring the activity of an admixture, comprising the following steps:

[0034] S1: Take an appropriate amount of sample from the center of the admixture to be monitored and pre-treat it;

[0035] S2: placing the pretreated sample into an activity detection device to detect the activity of the admixture;

[0036] S3: Obtain the activity of each admixture of n samples, construct a comprehensive activity acquisition model, input the activity value of each admixture, and output the comprehensive activity value;

[0037] S4: comparing the obtained comprehensive activity value with the set activity threshold value to determine whether the admixture to be monitored currently meets the activity requirement;

[0038] S5: Based on the comparison results, output the activity monitoring report of the admixture to be monitored.

[0039] Specifically, n appropriate samples are taken from the center of the admixture to be monitored using the stratified sampling rule, and the n samples taken include the most surface admixture sample and the most internal admixture sample;

[0040] It should be noted that the rule of uniform stratified sampling is preferred, and the stratification intervals of each sample are consistent.

[0041] Specifically, sampling:

[0042] Sampling method: Select a suitable sampling method according to the monitoring purpose and the characteristics of the admixture. The sampling should be representative to ensure that the sample can reflect the active state of the admixture. Random sampling, stratified sampling or specific sampling standards can be used. The present invention selects the rules of stratified sampling for optimization.

[0043] Sampling volume: Take an appropriate amount of sample according to the requirements of the test method. The sampling volume should not be too much to avoid wasting resources, nor too little to avoid affecting the accuracy of the test results. It is generally defined as 10 to 50g.

[0044] Sampling tools: Use clean and dry tools for sampling to avoid contamination of the sample.

[0045] The pretreatment steps specifically include: drying, screening, grinding, mixing and homogenization steps.

[0046] Specifically, preprocessing:

[0047] ① Drying: The moisture in the admixture will affect the measurement results of its activity. The purpose of drying is to remove the free moisture in the sample. Common drying methods include natural drying, hot air drying, oven drying, etc. The temperature and time should be controlled during drying to avoid overheating of the sample and causing changes in activity.

[0048] Drying temperature: Select the appropriate drying temperature according to the properties of the admixture, usually not exceeding 100°C to avoid destroying the structure and properties of the sample.

[0049] Drying time: Determine the drying time according to the moisture content of the sample and the drying temperature to ensure that the sample is completely dry.

[0050] ②Sieving: The purpose of sieving is to remove impurities and coarse particles in the sample to ensure the uniformity of the sample. The sieving process is usually carried out using sieves with different apertures to obtain the desired particle size distribution.

[0051] Screen selection: Select the appropriate screen aperture according to the characteristics of the sample and the testing requirements.

[0052] Sieving time: The sieving time should not be too long to avoid excessive wear and tear of the sample.

[0053] Other pretreatment steps: as needed, it may also include sample grinding, mixing, homogenization and other steps to ensure the uniformity and representativeness of the sample.

[0054] Precautions during pretreatment:

[0055] Prevent contamination: During the entire sampling and pretreatment process, care must be taken to prevent samples from being contaminated by the outside world.

[0056] Environmental control: The pretreatment process should be completed in a clean, dry, constant temperature environment to avoid the influence of environmental factors on the samples.

[0057] Recording and Control: Record all conditions during the pretreatment process, such as drying temperature, time, sieve aperture, etc., so that accurate analysis and control can be performed during data processing.

[0058] For further information, see Figure 2 , placing the pretreated sample into the activity detection device, and detecting the activity of the admixture specifically includes the following steps:

[0059] H1: Place the pretreated sample into the sample chamber of the activity detection device;

[0060] Technical content:

[0061] Sample chamber design: The sample chamber should be designed to hold a specific amount of sample and be sealed to prevent interference with the sample from the external environment.

[0062] Sample Transfer: Use sterile or clean tools to transfer the pretreated sample from the pretreatment container to the sample chamber of the activity detection device.

[0063] Sample positioning: Ensure that the sample is evenly distributed in the sample chamber so that the detection device can measure accurately.

[0064] H2: Start the detection program through the control system of the activity detection device, so that the detection device performs activity detection on the sample;

[0065] Technical content:

[0066] Control system: The activity detection device is equipped with a microprocessor-controlled system that can automatically perform the detection process according to a preset program.

[0067] Detection procedure: The detection procedure includes a series of operations performed on the sample, such as sample preparation, activity measurement, etc.

[0068] Activity Measurement: Activity measurement may involve the following steps:

[0069] Sample heating or cooling: Samples can be heated or cooled as needed to achieve optimal conditions for activity measurement.

[0070] Chemical reactions: If the activity measurement is based on a chemical reaction, it may be necessary to add specific chemical reagents to the sample.

[0071] Physical measurements: Use sensors (such as temperature, humidity, pressure, conductivity, etc.) to measure physical parameters related to activity.

[0072] H3: The detection device outputs an activity value according to the detection result.

[0073] Technical content:

[0074] Data processing: The microprocessor in the detection device analyzes the collected data and calculates the activity value.

[0075] Calculation formula: The following calculation formula is used to explain how to calculate the activity value of the admixture:

[0076] [\text{Activity value}=\frac{{\text{Measured value}-\text{Blank value}}}{{\text{Reference value}-\text{Blank value}}}\times 100%]

[0077] in:

[0078] Measurement value: The value obtained by the detection device to measure the activity of the sample.

[0079] Blank value: The measurement value of the detection device when no sample is added, used to deduct background noise.

[0080] Reference Value: The measured value of a reference standard of known activity used to calibrate a test device.

[0081] Output results: The activity value is displayed on the display screen of the detection device, or transmitted to external equipment through the data interface for recording and analysis.

[0082] Furthermore, the comprehensive activity acquisition model constructed is as follows:

[0083]

[0084] Among them, ω is the comprehensive activity value, α 1…n is the admixture activity of each sampling layer, n is the number of sampling layers, α 表 is the activity of the most surface admixture sample, α 内 is the activity of the innermost admixture sample, and 1.035 and 1.41 are adjustment constants.

[0085] Specifically, the activity threshold is set as follows:

[0086] High activity, the activity threshold is 2.85, especially used in the situation where 1 t of concrete material is required to initially solidify within 3 hours after mixing;

[0087] Medium activity, the activity threshold is 1.93, and it is especially used in situations where 1 t of concrete material is required to initially solidify within 5 hours after mixing;

[0088] Low activity, the activity threshold is 1.26, and it is especially used in situations where 1t of concrete material is required to initially solidify within 8 hours after mixing.

[0089] For additional information, see Figure 3 , a device for monitoring the activity of an admixture, using the above-mentioned method for monitoring the activity of an admixture, comprises the following components:

[0090] The sampling component 100 takes n appropriate samples from the center of the admixture to be monitored by using tweezers or a sampling spoon;

[0091] Activity detection device 200, starts the detection program through the control system, so that the detection device performs activity detection on the sample and outputs various activity values;

[0092] The comprehensive calculation component 300 constructs a comprehensive activity acquisition model, inputs the activity value of each admixture, and outputs the comprehensive activity value;

[0093] The comparison output component 400 is data-connected with the comprehensive calculation component 300, compares the comprehensive activity value with the preset activity threshold, determines whether the admixture to be monitored currently meets the activity requirement, and simultaneously outputs the activity monitoring report.

[0094] Furthermore, the sampling component 100 adopts the rule of stratified sampling to perform overall sampling, and the n samples taken include the surface admixture sample and the innermost admixture sample.

[0095] Furthermore, it also includes a pre-processing component 500, after the sampling component 100 takes the sample, the sample is placed in the pre-processing component 500 for pre-processing;

[0096] The pretreatment steps specifically include: drying, screening, grinding, mixing and homogenization steps.

[0097] In order to demonstrate the beneficial effects of the admixture activity monitoring method and monitoring device provided by the present invention, the following provides an experimental design and corresponding data tables. The purpose of the experiment is to demonstrate the advantages of the present invention by comparing the results of the method of the present invention with those of the traditional monitoring method.

[0098] Experimental Design:

[0099] Test samples: Take multiple samples from the same batch of admixture to ensure the representativeness of the samples.

[0100] Trial Groups:

[0101] Traditional method group: Use existing traditional monitoring methods for activity detection.

[0102] The method group of the present invention: the stratified sampling rule and the comprehensive activity acquisition model proposed by the present invention are used to perform activity detection.

[0103] Test steps:

[0104] Each sample was pretreated, including drying, sieving, etc.

[0105] The activity of the method group of the present invention is detected by conventional methods.

[0106] The activity values ​​obtained by the two methods were compared and analyzed.

[0107] Data analysis: Compare the accuracy, operational complexity and real-time performance of the two sets of data through statistical methods.

[0108] Data certification form:

[0109] Table 1: Data comparison results table

[0110]

[0111] Activity value: The activity value obtained by the method of the present invention is closer to the true value, indicating that it has higher accuracy.

[0112] Operation time: The operation time of the method of the present invention is shorter, indicating that its operation is simpler.

[0113] Real-time: The method of the present invention can monitor the activity of admixtures in real time, which is impossible with traditional methods.

[0114] The above data prove that the admixture activity monitoring method and monitoring device provided by the present invention have higher monitoring accuracy, lower operation complexity and better real-time performance than the traditional method. These advantages help to improve the effect of solid waste resource utilization and promote the production of low-carbon building materials.

[0115] The present invention provides a method and device for monitoring the activity of an admixture. Compared with traditional monitoring means, a stratified sampling rule is adopted for real-time sampling. After collecting multiple samples, a comprehensive activity acquisition model is constructed to obtain a comprehensive activity value, which is compared with a set threshold value, thereby improving the relative accuracy of the detection result. Sampling is performed according to the real-time actual situation, which on the one hand ensures the real-time nature of the data, and on the other hand, judgment is made based on the data after the data processing model is output, so that the comparison result is more comprehensive and the accuracy of the overall activity reaction is higher, thereby solving the problems of low monitoring accuracy, complex operation and poor real-time nature of the existing method for monitoring the activity of an admixture.

[0116] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for monitoring admixture activity, characterized in that: The steps include: S1: Take an appropriate amount of sample from the center of the admixture to be monitored and pre-treat it; S2: placing the pretreated sample into an activity detection device to detect the activity of the admixture; S3: Obtain the activity of each admixture of n samples, construct a comprehensive activity acquisition model, input the activity value of each admixture, and output the comprehensive activity value; S4: comparing the obtained comprehensive activity value with the set activity threshold value to determine whether the admixture to be monitored currently meets the activity requirement; S5: Based on the comparison results, output the activity monitoring report of the admixture to be monitored.

2. The method for monitoring admixture activity according to claim 1, characterized in that: Adopt the stratified sampling rule to take n appropriate samples from the center of the admixture to be monitored. The n samples taken include the surface admixture sample and the innermost admixture sample; The pretreatment steps specifically include: drying, screening, grinding, mixing and homogenization steps.

3. The method for monitoring admixture activity according to claim 2, characterized in that: The pretreated sample is placed in an activity detection device. The specific steps of detecting the activity of the admixture include: H1: Place the pretreated sample into the sample chamber of the activity detection device; H2: Start the detection program through the control system of the activity detection device, so that the detection device performs activity detection on the sample; H3: The detection device outputs an activity value according to the detection result.

4. The method for monitoring admixture activity according to claim 3, characterized in that: The comprehensive activity acquisition model constructed is specifically: Among them, ω is the comprehensive activity value, α 1…n is the admixture activity of each sampling layer, n is the number of sampling layers, α 表 is the activity of the most surface admixture sample, α 内 is the activity of the innermost admixture sample, and 1.035 and 1.41 are adjustment constants.

5. The method for monitoring admixture activity according to claim 4, characterized in that: The activity threshold is specifically set as: High activity, the activity threshold is 2.85; Medium activity, the activity threshold is 1.93; Low activity, the activity threshold is 1.

26.

6. An admixture activity monitoring device, using the admixture activity monitoring method according to any one of claims 1 to 5, characterized in that: Includes the following components: A sampling component (100) is used to take n appropriate samples from the center of the admixture to be monitored by using tweezers or a sampling spoon; An activity detection device (200) starts a detection program through a control system, so that the detection device performs activity detection on a sample and outputs various activity values; A comprehensive calculation component (300) constructs a comprehensive activity acquisition model, inputs the activity value of each admixture, and outputs a comprehensive activity value; The comparison output component (400) is connected to the data of the comprehensive calculation component (300), compares the comprehensive activity value with the preset activity threshold, determines whether the admixture to be monitored currently meets the activity requirement, and simultaneously outputs an activity monitoring report.

7. The admixture activity monitoring device according to claim 6, characterized in that: The sampling component (100) adopts the rule of stratified sampling to perform overall sampling, and the n samples taken include the surface admixture sample and the innermost admixture sample.

8. The admixture activity monitoring device according to claim 7, characterized in that: It also includes a pre-processing component (500), wherein the sampling component (100) places the sample into the pre-processing component (500) for pre-processing after sampling; The pretreatment steps specifically include: drying, screening, grinding, mixing and homogenization steps.

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