Quality detection method and system for water content of gravel aggregate

Abstract

The invention discloses a quality detection method and system for the water content of gravel aggregate, and relates to the technical field of building material detection.The main scheme is that a sampling module obtains initial data, a drying module calculates the heating power and the actual drying time according to the initial data, and then the real-time mass variation is calculated to judge whether drying is completed or not; the cooling module is used for calculating the gravel cooling time according to the data after drying, calculating the moisture content after drying and the moisture content of the gravel aggregate by setting a cooling time threshold value, a mass variation threshold value and the like, setting a moisture content threshold value set, evaluating a detection result, judging whether to trigger early warning or not and generating an evaluation report; the method and the system can accurately detect the water content of the gravel aggregate, provide a reliable basis for quality control, and improve the detection efficiency and precision.

Description

Technical Field

[0001] The invention relates to the technical field of building material detection, and in particular to a quality detection method and system for the moisture content of sandstone aggregates. Background Art

[0002] In the field of building materials, sand and gravel aggregates are important basic materials, and their moisture content has a key impact on the performance and quality of the materials. Accurate detection of the moisture content of sand and gravel aggregates is crucial to ensuring the quality of construction projects. However, due to the complex characteristics of sand and gravel aggregates and the great influence of environmental factors, there are currently many difficulties in the detection of the moisture content of sand and gravel aggregates, such as low detection accuracy, low efficiency, and difficulty in automatic control of the process.

[0003] The existing technology usually uses the drying method to detect the moisture content of sand and gravel aggregates. The samples are weighed, placed in a drying device and dried at a certain temperature, and then weighed again. The moisture content is calculated based on the change in mass. The principle is to use heating to remove moisture from the sand and gravel aggregates, and determine the moisture content by comparing the mass before and after drying.

[0004] The sampling methods of existing technologies are often not scientific enough, and it is difficult to ensure the representativeness of the samples, resulting in inaccurate test results. Secondly, the temperature control during the drying process is not precise, and the heating power cannot be dynamically adjusted according to the actual situation, which can easily cause over-drying or under-drying. Furthermore, the cooling process lacks effective control, and the cooling time cannot be accurately calculated, affecting the accuracy of subsequent moisture content calculations. Finally, the lack of intelligent data management and evaluation systems makes it impossible to evaluate and warn the test results in a timely manner, and it is difficult to effectively analyze and utilize a large amount of test data. Summary of the invention

[0005] 1. Technical issues to be solved

[0006] In view of the deficiencies of the prior art, the present invention provides a quality detection method and system for the moisture content of sandstone aggregates. Through the innovative design of the sampling module, accurate sampling and mixing from different parts are performed to ensure the representativeness of the samples, solving the problem of inaccurate traditional sampling. The drying module intelligently calculates the heating power and drying time according to the initial humidity, temperature and air content, and judges the completion of drying through the threshold of the mass change to avoid excessive or insufficient drying, thereby improving the accuracy of moisture content calculation. The cooling module accurately calculates the cooling time to ensure the reliability of subsequent moisture content calculations. The data management module realizes the evaluation of the test results, early warning and report generation, and improves the level of intelligence. The overall system realizes intelligent process control, adapts to different aggregate characteristics, and improves versatility and adaptability.

[0007] (II) Technical solution

[0008] To achieve the above purpose, the present invention is implemented by the following technical scheme: a quality detection method for the moisture content of sandstone aggregates, comprising:

[0009] Samples are taken from different parts of the sand and gravel aggregate pile and mixed to obtain initial data;

[0010] According to the initial data, the heating power P is calculated. According to the initial data and the heating power P, the actual drying time T is calculated. According to the initial data and the actual drying time T, the real-time mass change Δm is calculated. t ; Set the mass change threshold Dv, and set the real-time mass change Δm t Compare with the mass change threshold Dv to determine whether the drying is completed;

[0011] When drying is completed, obtain the data after drying, and calculate the cooling time Tho of sand and gravel according to the data after drying; set the cooling time threshold Gv of sand and gravel, calculate the moisture content A after drying according to the cooling time Tho of sand and gravel and the cooling time threshold Gv of sand and gravel, and calculate the moisture content B of sand and gravel aggregate before drying according to the moisture content A after drying;

[0012] A sand and gravel aggregate moisture content threshold set Jv is set. According to the comparison result between the moisture content B of the sand and gravel aggregate before drying and the sand and gravel aggregate moisture content threshold set Jv, it is judged whether the sand and gravel aggregate meets the standard and an evaluation report is generated.

[0013] In the preferred embodiment of the above-mentioned method for quality detection of moisture content of sand and gravel aggregates, the specific steps for calculating the heating power P are:

[0014] The initial data include the mass before drying m, the specific heat capacity before drying C, the initial temperature θ0, the initial humidity H and the air content Q air ;

[0015] Set the drying target temperature θ1 and the estimated drying time t;

[0016] According to the initial data, the drying target temperature θ1 以 And the expected drying time t, calculate the heating power P, the specific formula is as follows:

[0017]

[0018] Among them, k1 represents the correction coefficient of the mass m before drying; k2 represents the correction coefficient of the initial humidity H; k3 represents the air content Q air The correction factor of .

[0019] In the preferred embodiment of the above-mentioned method for quality detection of moisture content of sand and gravel aggregates, the specific steps of calculating the actual drying time T are as follows:

[0020] The initial data also includes the drying ambient air humidity Hair and initial warm-up time T0;

[0021] Get the drying equipment efficiency μ;

[0022] According to the drying environment air humidity H air , initial preheating time T0, drying equipment efficiency μ and heating power P, calculate the actual drying time T, the specific formula based on which is as follows:

[0023]

[0024] In the preferred embodiment of the above-mentioned method for detecting the moisture content of sand and gravel aggregates: calculating the real-time mass change Δm t The specific steps are:

[0025] Get the real-time mass m of sand and gravel aggregate T ;

[0026] According to the mass m before drying and the real-time mass m of sand and gravel aggregate T , calculate the real-time mass change Δm t , the specific formula is as follows:

[0027]

[0028] Here, q represents the mass loss rate constant.

[0029] In the preferred embodiment of the above-mentioned method for quality detection of moisture content of sand and gravel aggregates, the specific steps for judging whether the drying is completed are:

[0030] Set the mass change threshold Dv;

[0031] When the real-time mass change Δm t When ≤Dv, the drying is considered complete;

[0032] When Dv < real-time mass change Δm t When the drying state is judged as not meeting the standard, the drying is continued until the real-time mass change Δm is met. t ≤Dv.

[0033] In the preferred embodiment of the above-mentioned method for quality detection of moisture content of sand and gravel aggregates, the specific steps for calculating the cooling time Tho of sand and gravel are as follows:

[0034] Set the initial cooling time constant Y0;

[0035] The data after drying include the mass after drying mty, the specific heat capacity of sand and gravel after drying C s 、The initial temperature of sand and gravel after drying θ s , the surface area D of the sand and gravel paving and the real-time room temperature θ room ;

[0036] According to the drying data and the initial cooling time constant Y0, the cooling time Tho of the sand and gravel is calculated. The specific formula is as follows:

[0037]

[0038] Among them, g represents the comprehensive heat transfer coefficient of the flat surface area D of sand and gravel.

[0039] In the preferred embodiment of the above-mentioned method for quality detection of moisture content of sand and gravel aggregates, the specific steps for calculating the moisture content A after drying are:

[0040] According to the mass after drying mty, the mass before drying m, the cooling time of sand and gravel Tho and the threshold value of the cooling time of sand and gravel Gv, the moisture content A after drying is calculated. The specific formula is as follows:

[0041]

[0042] Among them, a represents the correction coefficient of sand and gravel cooling time Tho.

[0043] In the preferred embodiment of the above-mentioned method for quality detection of moisture content of sand and gravel aggregates, the specific steps of calculating the moisture content B of sand and gravel aggregates before drying are:

[0044] According to the mass after drying mty, the mass before drying m and the moisture content after drying A, the moisture content B of the sand and gravel aggregate before drying is calculated. The specific formula is as follows:

[0045]

[0046] Among them, the value of the mass mty after drying is, mty>0.

[0047] In the preferred embodiment of the above-mentioned method for quality detection of moisture content of sand and gravel aggregates, the specific steps for determining whether the moisture content of sand and gravel aggregates exceeds the standard are:

[0048] The sand and gravel aggregate moisture content threshold set Jv includes a primary threshold Dv0 and a secondary threshold Dv1, where Dv0 < Dv1;

[0049] When the moisture content of sand and gravel aggregate before drying is B≤Dv0, the quality of sand and gravel aggregate is judged to be excellent and a first-level evaluation report is generated;

[0050] When Dv0<moisture content of sand and gravel aggregate before drying B≤Dv1, the quality of sand and gravel aggregate is judged to be qualified and a secondary evaluation report is generated;

[0051] When Dv1 is less than the moisture content B of the sand and gravel aggregate before drying, the quality of the sand and gravel aggregate is judged to be unqualified and a third-level evaluation report is generated.

[0052] The present invention also discloses a quality detection system for the moisture content of sandstone aggregates, comprising:

[0053] The sampling module is used to take samples from different parts of the sand and gravel aggregate pile and mix them to obtain initial data;

[0054] The drying module is used to calculate the heating power P according to the initial data, calculate the actual drying time T according to the initial data and the heating power P; calculate the real-time mass change Δm according to the initial data and the actual drying time T t ; Set the mass change threshold Dv, and set the real-time mass change Δm t Compare with the mass change threshold Dv to determine whether the drying is completed;

[0055] The cooling module is used to obtain the post-drying data after drying is completed, and calculate the sand and gravel cooling time Tho according to the post-drying data; set the sand and gravel cooling time threshold Gv, calculate the moisture content A after drying according to the sand and gravel cooling time Tho and the sand and gravel cooling time threshold Gv, and calculate the moisture content B of the sand and gravel aggregate before drying according to the moisture content A after drying;

[0056] The data management module is used to set the sand and gravel aggregate moisture content threshold set Jv, judge whether the sand and gravel aggregate meets the standard according to the comparison result of the moisture content B of the sand and gravel aggregate before drying and the sand and gravel aggregate moisture content threshold set Jv, and generate an evaluation report.

[0057] (III) Beneficial effects

[0058] The present invention provides a quality detection method and system for the moisture content of sandstone aggregates, which has the following beneficial effects:

[0059] (1) By sampling and mixing from different parts of the sand and gravel aggregate pile, it is ensured that the samples obtained are representative and can accurately reflect the characteristics of the entire sand and gravel aggregate pile. Obtaining initial data provides a reliable basis for subsequent testing steps, avoiding testing errors caused by sample bias and improving the accuracy and reliability of test results.

[0060] (2) Accurately calculating the heating power based on the initial data can realize personalized drying according to the actual situation of sand and gravel aggregates, improving the drying efficiency while avoiding overheating or insufficient heating, saving energy and ensuring the drying effect; accurately calculating the drying time based on the initial data and heating power helps to reasonably arrange the production schedule, avoid time waste, and improve production efficiency; real-time monitoring of the quality changes during the drying process, and accurately judging whether the drying is completed by comparing with the quality change threshold, ensuring that the sand and gravel aggregates reach the appropriate degree of dryness, laying the foundation for accurate calculation of moisture content.

[0061] (3) Accurately calculating the cooling time based on the data after drying can ensure the quality of sand and gravel aggregates is stable during the cooling process, avoid quality changes caused by improper cooling, and thus improve the accuracy of subsequent moisture content calculations; calculating the moisture content after drying and the moisture content of sand and gravel aggregates provides key data for quality assessment.

[0062] (4) By setting a reasonable set of threshold values ​​for the moisture content of sand and gravel aggregates, the test results can be accurately evaluated to determine whether the moisture content of sand and gravel aggregates meets the standard requirements, providing a scientific basis for production decisions; timely discover situations where the moisture content exceeds the standard and issue an early warning, reminding relevant personnel to take measures to avoid affecting the quality of the project due to the use of unqualified sand and gravel aggregates; generate a detailed evaluation report to facilitate the archiving and analysis of the test data, providing strong support for the continuous improvement of production processes and quality control. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 The present invention is a flow chart of a quality detection method for moisture content of sand and gravel aggregates. DETAILED DESCRIPTION

[0064] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0065] See also Figure 1 The present invention provides a quality detection method for the moisture content of sandstone aggregate, comprising:

[0066] Samples were taken from different parts of the sand and gravel aggregate stockpile and mixed to obtain initial data.

[0067] Specifically, advanced sampling technology is used to ensure that representative samples are obtained from different parts of the sand and gravel aggregate pile. Not only is the quality of the sand and gravel aggregate before drying obtained as initial data, but also the sensors installed on the sampling equipment are used to measure and record parameters such as initial temperature and initial humidity in real time. These initial data provide an important basis for subsequent drying, calculation and evaluation.

[0068] According to the initial data, the heating power P is calculated. According to the initial data and the heating power P, the actual drying time T is calculated. According to the initial data and the actual drying time T, the real-time mass change Δm is calculated. t ; Set the mass change threshold Dv, and set the real-time mass change Δm t The mass change value is compared with the mass change threshold value Dv to determine whether the drying is completed.

[0069] Specifically, the heating power is accurately calculated based on the initial data, and the most appropriate heating power is determined through a calculation formula, taking into account factors such as the initial humidity, initial temperature, specific heat capacity before drying, and expected drying target temperature of the sand and gravel aggregates. For example, for sand and gravel aggregates with high initial humidity, a larger heating power is required to accelerate the evaporation of water; while for aggregates with high initial temperature, the heating power can be appropriately reduced to avoid overheating.

[0070] Furthermore, after determining the heating power, the actual drying time is calculated by combining the initial data and the heating power. This calculation process fully considers the characteristics of sand and gravel aggregates, the performance of the heating equipment, and environmental factors.

[0071] Furthermore, as the drying process proceeds, the mass change is calculated in real time based on the initial data and the actual drying time. The mass change of the sand and gravel aggregate is continuously monitored by a high-precision weighing device installed in the drying equipment. At the same time, the temperature and humidity of the drying environment are collected in real time by sensors, and the calculation of the mass change is corrected to improve accuracy. In order to accurately determine whether the drying is completed, a mass change threshold is set, taking into account the characteristics and drying requirements of different types of sand and gravel aggregates. The real-time mass change is compared with the mass change threshold. When the real-time mass change reaches or is less than the threshold, the drying is judged to be complete. This ensures that the sand and gravel aggregates reach the required degree of dryness within the appropriate time, avoiding over-drying or under-drying.

[0072] When the drying is completed, obtain the drying data, calculate the sand and gravel cooling time Tho based on the drying data; set the sand and gravel cooling time threshold G v , according to the sand and gravel cooling time Tho and the sand and gravel cooling time threshold G v , calculate the moisture content A after drying, and calculate the moisture content B of sand and gravel aggregate before drying based on the moisture content A after drying.

[0073] Specifically, after drying is completed, the post-drying data is obtained. These data include parameters such as the mass and temperature of the sand and gravel aggregate after drying. Using these data, combined with factors such as the ambient temperature and the performance of the cooling equipment, the cooling time of the sand and gravel is calculated. For example, the cooling time is determined by considering the specific heat capacity, surface area, and heat transfer coefficient of the sand and gravel aggregate with air.

[0074] Furthermore, in order to ensure the rationality and stability of the cooling process, a sand and gravel cooling time threshold is set to determine whether the cooling process is completed. When the cooling time reaches or exceeds the threshold, the cooling process is considered to be completed and the next step of moisture content calculation can be performed.

[0075] Furthermore, the moisture content after drying is calculated based on the cooling time and the data after drying. The moisture content of the sand and gravel aggregate after drying is determined by comparing the mass changes of the sand and gravel aggregate before and after drying and combining parameters such as the sand and gravel cooling time and the sand and gravel cooling time threshold. Based on the moisture content after drying, the moisture content of the sand and gravel aggregate before drying is reversely calculated.

[0076] A sand and gravel aggregate moisture content threshold set Jv is set. According to the comparison result between the moisture content B of the sand and gravel aggregate before drying and the sand and gravel aggregate moisture content threshold set Jv, it is judged whether the sand and gravel aggregate meets the standard and an evaluation report is generated.

[0077] Specifically, a set of threshold values ​​for the moisture content of sand and gravel aggregates is set. This set includes multiple different thresholds for evaluating the moisture content of sand and gravel aggregates of different grades. The first-level threshold, the second-level threshold, and the third-level threshold are set, corresponding to different quality standards and usage requirements. The calculated moisture content of the sand and gravel aggregates before drying is compared with this threshold set. Based on the comparison results, the test results are evaluated to determine whether the moisture content of the sand and gravel aggregates meets the standard requirements. If the moisture content is better than the standard range, the evaluation result is superior; if the moisture content is within the standard range, the evaluation result is in compliance with the standard; if the moisture content exceeds the standard range, the evaluation result is unqualified.

[0078] Furthermore, when the test results show that the moisture content of sand and gravel aggregate is unqualified, the system will immediately trigger an out-of-standard range warning. At the same time, the data management module will generate a detailed evaluation report. The report content includes test data, calculation process, evaluation results, judgment of whether it exceeds the standard range, and related suggestions and measures.

[0079] In the preferred embodiment of the above-mentioned method for quality detection of moisture content of sand and gravel aggregates, the specific steps for calculating the heating power P are:

[0080] The initial data include the mass before drying m, the specific heat capacity before drying C, the initial temperature θ0, the initial humidity H and the air content Q air .

[0081] Set the drying target temperature θ1 and the estimated drying time t.

[0082] According to the initial data, the drying target temperature θ1 and the estimated drying time t, the heating power P is calculated based on the following specific formula:

[0083]

[0084] Among them, k1 represents the correction coefficient of the mass m before drying, and its value is [0.8, 1.2]; k2 represents the correction coefficient of the initial humidity H, and its value is [0.5, 1.5]; k3 represents the air content Q airThe correction coefficient is [0.2, 0.8].

[0085] It should be noted that the initial humidity H is measured by the humidity sensor, and the air content Q in the circulating filter box is detected by installing a gas sensor in the drying equipment. air ; Use a calorimeter and other equipment to carry out a specific heat capacity measurement experiment to obtain the specific heat capacity C before drying, specifically:

[0086] Place the selected sand and gravel aggregate sample into the calorimeter and record the initial temperature θ0.

[0087] Add a heat source of known heat pu into the calorimeter and record the temperature θ2 of the sand and gravel aggregate after absorbing the heat.

[0088] According to the initial temperature θ0, the mass m before drying, the heat pu and the temperature θ2 after absorbing heat, the specific heat capacity C before drying is calculated. The specific formula is as follows:

[0089] C = m × pu × (θ2 - θ0).

[0090] Refer to relevant building material standards or industry specifications, and combine the actual drying equipment performance and the characteristics of sand and gravel aggregates to determine the appropriate drying target temperature θ1. For example, for building sand and gravel aggregates, the drying target temperature is usually set between 105°C and 110°C to ensure that moisture can be fully removed while ensuring that the quality of the aggregate is not affected. Determine the drying time range under different initial data parameters through historical experimental data, and then set the estimated drying time t within this range based on the specific parameters of the current sample.

[0091] Select sand and gravel aggregate samples of different types and quality ranges, and conduct drying experiments under known initial conditions. During the experiment, record the actual required heating power and the theoretical heating power calculated according to other parameters in the formula. By continuously adjusting the value of k1, the theoretical heating power is as close to the actual heating power as possible. For example, you can start from an initial guess value and gradually adjust k1. After each adjustment, calculate the theoretical heating power and compare it with the actual value until the error is within an acceptable range. Conduct multiple experiments on different samples and take the average value as the final k1 value. Conduct a series of sand and gravel aggregate drying experiments with different initial humidity. Record the actual required heating power and other related parameters under different humidity. Substitute the experimental data into the formula and adjust the value of k2 so that the heating power calculated by the formula is consistent with the actual power. The best k2 value can be found by using methods such as curve fitting, so that the formula can better describe the heating power requirements under different humidity. Conduct multiple groups of experiments on different types of sand and gravel aggregates to determine the value of k2. Conduct experiments in actual drying equipment, change conditions such as air flow and temperature, record the heating power and air content under different conditions, and use computer simulation software to simulate air flow and heat transfer during drying. By comparing the experimental data with the simulation results, the value of k3 is adjusted to make the simulation results consistent with the actual experiment. This can provide a deeper understanding of the mechanism of the influence of air content on heating power and determine the appropriate k3 value.

[0092] The above formula is used to calculate the heating power in the drying process of sand and gravel aggregates. It comprehensively considers three factors: the heat required for heating the sand and gravel aggregates, the heat required for water evaporation, and the influence of the air in the circulating filter box on the heat. This part is mainly based on the principle of heat conduction, and calculates the heat required for the sand and gravel aggregate to rise from the initial temperature θ0 to the drying target temperature θ1. m×C×(θ1-θ0) represents the heat required when the sand and gravel aggregate with a mass of m and a specific heat capacity of C rises by (θ1-θ0). Considering factors such as heat loss during the heating process and actual heating efficiency, a correction factor k1 is introduced. The heating power required per unit time is calculated by the estimated drying time t to ensure that the sand and gravel aggregate can be heated to the target temperature within a given time.

[0093] This part takes into account the effect of water evaporation. The higher the humidity H, the more heat is required for water evaporation. When the humidity is 100%, theoretically, water will no longer evaporate. As the humidity decreases, the demand for water evaporation increases. This formula reflects the relationship between humidity and water evaporation demand. When multiplied by the mass m of sand and gravel aggregate, it represents the additional heat required for water evaporation. The correction coefficient k2 is used to adjust the deviation between the actual situation and the theoretical model, taking into account the water evaporation characteristics of different types of sand and gravel aggregates and the influence of environmental factors.

[0094] k3×Q air This part takes into account the heat carried and effect of the air in the circulating filter box; Q air It indicates the amount of heat carried by the air in the circulating filter box per unit time, and its size is related to factors such as air flow, temperature difference, and thermophysical properties of air; the correction coefficient k3 is used to adjust the influence of the heat carried by the air according to the actual equipment and environmental conditions, such as the change in air flow rate, the contact area between air and sand and gravel aggregates, etc., which will affect the heat carried by the air. By comprehensively considering these three factors, the formula can more accurately calculate the heating power required in the drying process of sand and gravel aggregates, so as to achieve efficient and accurate drying process control, and provide important guarantee for accurate detection of the moisture content of sand and gravel aggregates.

[0095] This formula calculates the heating power by comprehensively considering three factors: temperature rise, water evaporation, and air influence. It can accurately control the drying process. The correction coefficient can be adjusted according to the actual situation to adapt to different types of sand and gravel aggregates and environmental conditions, improve the accuracy of heating power calculation, and ensure stable and reliable drying effect. Considering the temperature rise demand of sand and gravel aggregates, the power required to heat them from the initial temperature to the target temperature can be accurately calculated to avoid overheating or insufficient heating, saving energy while improving drying efficiency. In view of the water evaporation factor, the power can be reasonably adjusted according to the humidity to ensure that the water is fully evaporated, laying the foundation for the accurate calculation of moisture content. Consideration of air content also helps to optimize the drying environment, reduce heat loss, and further improve the overall performance of the drying process and the accuracy of test results.

[0096] In the preferred embodiment of the above-mentioned method for quality detection of moisture content of sand and gravel aggregates, the specific steps of calculating the actual drying time T are as follows:

[0097] The initial data also includes the drying ambient air humidity H air And the initial warm-up time T0.

[0098] Get the drying equipment efficiency μ.

[0099] According to the drying environment air humidity H air , initial preheating time T0, drying equipment efficiency μ and heating power P, calculate the actual drying time T, the specific formula based on which is as follows:

[0100]

[0101] It should be noted that the drying equipment efficiency μ is determined according to the drying instrument manual; this formula is intended to calculate the actual drying time of sand and gravel aggregates based on the air humidity of the drying environment, the initial preheating time and the heating power. It comprehensively considers multiple factors such as the mass of sand and gravel aggregates, heating power, air humidity of the drying environment, rapid equipment efficiency and initial preheating time; the greater the mass before drying, the more heat is required to evaporate the moisture in it under certain heating power and other conditions, and thus it takes longer to complete the drying. Therefore, the mass before drying is an important factor in determining the drying time; the higher the heating power, the more heat is provided to the sand and gravel aggregates per unit time, the faster the drying speed, and the shorter the drying time accordingly; (1-H air ) Here H air Indicates the humidity of the drying environment. When the humidity of the ambient air is high, it will hinder the evaporation of water in the sand and gravel aggregates, because the air already contains more water, and the speed of water diffusion from the sand and gravel aggregates to the air will slow down. Therefore (1-H air ) reflects the degree of adverse effect of ambient humidity on drying. The lower the humidity, the larger this value is, and the faster the drying speed is. Equipment efficiency reflects the ability of drying equipment to convert input energy into effective drying energy. The higher the efficiency, the more energy is actually used to dry sand and gravel aggregates under the same heating power, and the drying time will be shortened accordingly. The initial preheating time is the time required for the equipment to reach a stable working state before the formal drying begins. Adding or subtracting this time T0 takes into account some uncertain factors that may exist in actual situations, such as the start-up time of the equipment, energy loss during the preheating process, etc.; the initial preheating time T0 is an adjustment item for the entire drying time to more accurately reflect the total time required for actual drying.

[0102] This formula takes into full account a variety of practical factors, making the calculation results more accurate and reliable. By incorporating the quality of sand and gravel aggregates, it can adapt to drying needs of different scales; considering the heating power, the time can be accurately estimated according to the equipment performance; the introduction of the humidity of the drying environment air helps to reasonably plan the drying process under different humidity conditions and avoid time estimation deviations caused by humidity interference. At the same time, the consideration of rapid equipment efficiency can optimize resource utilization and improve drying efficiency. The adjustment item of the initial preheating time makes the calculation more in line with the actual production situation, avoiding the disconnection between simple theoretical calculations and actual operations. It can help production personnel better arrange production schedules, reasonably allocate resources, improve production efficiency and quality control levels, and provide scientific and accurate time guidance for the drying link of sand and gravel aggregate moisture content detection, ensuring that the entire detection process is carried out efficiently and stably.

[0103] In the preferred embodiment of the above-mentioned method for detecting the moisture content of sand and gravel aggregates: calculating the real-time mass change Δm t The specific steps are:

[0104] Get the real-time mass m of sand and gravel aggregate T .

[0105] According to the mass m before drying and the real-time mass m of sand and gravel aggregate T , calculate the real-time mass change Δm t The specific formula is as follows:

[0106]

[0107] Where q represents the mass loss rate constant, and its value is [0.001, 0.01].

[0108] It should be noted that this formula is used to calculate the real-time mass change of sand and gravel aggregates during the drying process. It comprehensively considers factors such as the mass before drying, the real-time mass, and the mass loss rate to accurately reflect the mass change of sand and gravel aggregates at different time points; mm T This part intuitively shows the difference between the mass before drying and the current real-time mass. During the drying process, with the evaporation of water and other possible mass losses, the real-time mass m T It will gradually decrease, and the difference between the mass m before drying reflects the change in mass from the initial state to the current moment. Here, the mass loss rate constant q and the actual drying time T are introduced. As the drying process proceeds, the mass loss rate q is usually not constant, but changes under the influence of many factors; it reflects the rate characteristics of mass loss, and its value is between [0.001, 0.01], indicating different mass loss speed levels; This item further adjusts and refines the mass change through the combination of the mass itself, the mass loss rate constant q and the actual drying time T, so as to more accurately reflect the dynamic mass change in the actual drying process; overall, this formula aims to provide a method that can more accurately calculate the real-time mass change of sand and gravel aggregates during the drying process through the combination of different parts, providing an important basis for judging the drying progress and calculating the moisture content.

[0109] mm in the formula TIt partially intuitively reflects the mass change from before drying to the current moment, and provides a simple and clear basis for judging the drying progress. After introducing the mass loss rate constant q and the actual drying time T, it can more accurately simulate the dynamic characteristics of mass change in the actual drying process. Different mass loss rate constant value ranges adapt to various actual situations and can be adjusted according to the specific sand and gravel aggregate characteristics and drying conditions, which improves the flexibility of calculation. By calculating the real-time mass change through this formula, the drying process can be understood in time, which is helpful to optimize the drying time and energy consumption. Accurate mass change data provides a reliable basis for the subsequent calculation of key parameters such as moisture content, thereby improving the accuracy and reliability of sand and gravel aggregate moisture content detection, and providing strong support for quality control and decision-making in the production process.

[0110] In the preferred embodiment of the above-mentioned method for quality detection of moisture content of sand and gravel aggregates, the specific steps for judging whether the drying is completed are:

[0111] Set the mass change threshold Dv.

[0112] When the real-time mass change Δm t When ≤Dv, the drying is considered complete.

[0113] When Dv < real-time mass change Δm t When the drying state is judged as not meeting the standard, the drying is continued until the real-time mass change Δm is met. t ≤Dv.

[0114] It should be noted that a large number of drying experiments were conducted on sand and gravel aggregate samples of different types and different initial moisture contents. During the experiment, the mass changes at different stages and the corresponding drying time, environmental parameters, etc. were recorded. The mass change when the sand and gravel aggregate reached the ideal drying state was observed, and this was used as a reference value to determine the mass change threshold. The average value of the mass change of the sand and gravel aggregate under a reasonable drying state in multiple experiments was used as the mass change threshold Dv.

[0115] When the real-time mass change Δm t When ≤Dv, the drying is considered complete. This means that the moisture in the sand and gravel aggregate has been basically removed and the expected degree of dryness has been achieved. In this state, the sand and gravel aggregate can be processed or used in the next step.

[0116] When Dv<real-time mass change Δm t When the drying state is judged as not meeting the standard, it means that the sand and gravel aggregate still contains a lot of water and needs to be dried further. This indicates that the current drying process has not been completed and heat needs to be continued to be provided to promote water evaporation until the real-time mass change meets the condition of being less than or equal to the threshold.

[0117] By setting the mass change threshold, a clear standard is provided for judging the drying process. Over-drying or under-drying is avoided, ensuring that the sand and gravel aggregates reach the appropriate degree of dryness and improving the stability of product quality. When the real-time mass change meets the threshold requirement, it is judged that the drying is completed, and the drying process can be stopped in time to save energy and improve production efficiency; the setting of continuing drying for non-standard situations ensures the reliability of the drying results. It can adapt to sand and gravel aggregates with different initial moisture contents, ensuring that the sand and gravel aggregates can be dried to a state that meets the requirements in any case. At the same time, this dynamic judgment and adjustment process does not need to rely on a fixed drying time, but is judged based on actual conditions, which improves the flexibility and adaptability of the detection method and provides a strong guarantee for the accurate detection and quality control of the moisture content of sand and gravel aggregates.

[0118] In the preferred embodiment of the above-mentioned method for quality detection of moisture content of sand and gravel aggregates, the specific steps for calculating the cooling time Tho of sand and gravel are as follows:

[0119] Set the initial cooling time constant Y0.

[0120] The data after drying include the mass after drying mty, the specific heat capacity of sand and gravel after drying C s 、The initial temperature of sand and gravel after drying θ s , the surface area D of the sand and gravel paving and the real-time room temperature θ room .

[0121] According to the drying data and the initial cooling time constant Y0, the cooling time Tho of the sand and gravel is calculated. The specific formula is as follows:

[0122]

[0123] Where g represents the comprehensive heat transfer coefficient of the sand and gravel flat surface area D, and its value is [10, 15].

[0124] It should be noted that different types and specifications of sand and gravel aggregate samples are selected to ensure that the samples are representative; prepare drying equipment and cooling equipment to ensure that the equipment can accurately control temperature and time; dry the sand and gravel aggregate samples to achieve a specific dry state; record various parameters of the sand and gravel aggregate after drying, such as specific heat capacity, initial temperature, flat surface area, etc.; quickly transfer the dried sand and gravel aggregate to the cooling equipment to start the cooling process; at the same time, record the real-time room temperature; determine the cooling time by measuring the temperature change of the sand and gravel aggregate at different time points; repeat the above experimental process for different samples to obtain multiple groups of cooling time data; take the average value to determine the initial cooling time constant Y0. The comprehensive heat transfer coefficient g is obtained according to the industry standard, and the value is [10, 15].

[0125] According to the mass after drying m s, drying heat Qu and temperature change θ s , calculate the specific heat capacity C before drying s The specific formula is as follows:

[0126] C s =mty×Qu×θ s

[0127] This formula is used to calculate the cooling time of sand and gravel. It aims to determine the time required for the dried sand and gravel aggregate to cool from the current temperature to room temperature. It takes into account the physical properties of sand and gravel, environmental factors, and an initial cooling time constant for accurate calculation; mty represents the mass of the sand and gravel after drying. The larger the mass, the more heat it contains, and it takes longer to release this heat during the cooling process; C s is the specific heat capacity of the sand and gravel after drying. The specific heat capacity reflects the ability of a substance to absorb or release heat. The larger the specific heat capacity, the more heat the same mass of the substance absorbs or releases when the temperature changes, and the cooling process will be relatively slow; (θ s -θ room ) indicates the difference between the initial temperature of the sand and gravel after drying and the real room temperature. The larger the difference, the more heat the sand and gravel need to release to reach room temperature, and the cooling time will be extended accordingly.

[0128] g represents the comprehensive heat transfer coefficient of the flat surface area of ​​the sand and gravel, which reflects the efficiency of heat exchange between the sand and gravel and the surrounding environment. The larger the heat transfer coefficient, the faster the heat exchange between the sand and gravel and the surrounding air, and the shorter the cooling time; D is the flat surface area of ​​the sand and gravel. The larger the surface area, the larger the contact area with the surrounding air, and the faster the heat exchange rate, which affects the cooling time; Y0 is an initial cooling time constant, which takes into account some factors that are difficult to calculate directly through physical parameters, such as air flow during the cooling process, environmental humidity, etc. By determining this constant through experiments or experience, the cooling time can be further adjusted and optimized to make the calculated results closer to the actual situation.

[0129] The above formula provides an adjustable parameter for the calculation of cooling time by setting the initial cooling time constant, which can adapt to different actual situations and uncertain factors. It takes into account factors such as the mass, specific heat capacity, initial temperature and real-time room temperature of the sand and gravel after drying, making the calculation of cooling time more accurate and avoiding the accuracy of subsequent moisture content calculation affected by insufficient or excessive cooling. The introduction of the comprehensive heat transfer coefficient takes into account the heat exchange efficiency between sand and gravel and the surrounding environment. Combined with the flat surface area of ​​sand and gravel, it can more scientifically reflect the heat transfer in the cooling process, which helps to reasonably arrange the production schedule, ensure the next step of moisture content calculation at the appropriate time, and improve production efficiency. At the same time, accurate cooling time calculation also provides reliable data support for quality inspection, which helps to ensure the quality stability of sand and gravel aggregates and meet the strict requirements of different projects on the moisture content of sand and gravel aggregates.

[0130] In the preferred embodiment of the above-mentioned method for quality detection of moisture content of sand and gravel aggregates, the specific steps for calculating the moisture content A after drying are:

[0131] According to the mass after drying mty, the mass before drying m, the cooling time of sand and gravel Tho and the threshold value of the cooling time of sand and gravel Gv, the moisture content A after drying is calculated. The specific formula is as follows:

[0132]

[0133] Among them, a represents the correction coefficient of sand and gravel cooling time Tho, and its value is [0.001, 0.01].

[0134] It should be noted that a series of drying and cooling experiments were conducted on sand and gravel aggregate samples of different types and different initial moisture contents. During the experiment, the actual cooling time and the theoretical cooling time calculated based on other parameters were recorded. The value of the correction coefficient a was adjusted to make the theoretical cooling time as close to the actual cooling time as possible. The correction coefficient can be gradually adjusted from an initial guess value. After each adjustment, the theoretical cooling time is calculated and compared with the actual value until the error is within an acceptable range. Multiple experiments were conducted on different samples, and the average value was taken as the final correction coefficient a. In past production, in most cases, sand and gravel aggregates were cooled to a suitable temperature within a certain time range, and the lower limit of this time range was used as the cooling time threshold G. v .

[0135] This formula is used to calculate the moisture content of sand and gravel aggregates after drying. It comprehensively considers factors such as sand and gravel cooling time, cooling time threshold, and mass before and after drying to accurately determine the moisture content of sand and gravel aggregates after drying; a is the correction coefficient of sand and gravel cooling time Tho, and its value is between [0.001, 0.01]. This correction coefficient is used to adjust the cooling time calculation error caused by various practical factors to make the calculation result more accurate; Tho represents the actual calculated sand and gravel cooling time, and Gv is the cooling time threshold. The difference between the two reflects the degree of deviation between the actual cooling time and the expected cooling time. When the actual cooling time is greater than the threshold, it means that the cooling process may be affected by certain factors and become slower, and the calculation of the moisture content needs to be adjusted accordingly; m is the mass of sand and gravel before drying, which can be understood as a quality parameter related to the state after drying, and m-mty represents the mass change before and after drying; It combines the quality parameters and cooling time after drying; this part reflects the relationship between quality change, cooling time and specific quality parameters, and thus indirectly reflects the change of moisture during the drying and cooling process, which is then used to calculate the moisture content; this formula aims to calculate the moisture content of the dried sand and gravel aggregate more accurately based on the actual cooling time, quality change and other factors through the combination of different parts.

[0136] The correction factor introduced in this formula can adjust the cooling time according to actual conditions, improving the accuracy and adaptability of the calculation. Considering the differences between different types of sand and gravel aggregates and various actual production conditions, the correction factor helps to determine the moisture content more accurately; by comparing the cooling time threshold with the actual cooling time, the state of the cooling process can be better grasped to ensure that the moisture content is calculated at the appropriate time. It avoids the deviation in moisture content calculation caused by insufficient cooling or excessive cooling; the formula comprehensively considers multiple factors such as the quality change before and after drying, cooling time, etc., and can more comprehensively reflect the moisture changes of sand and gravel aggregates during the drying and cooling process. It provides a reliable basis for accurately evaluating the quality of sand and gravel aggregates, helps to optimize the production process, improve product quality stability, and meet the strict requirements of different projects for the moisture content of sand and gravel aggregates.

[0137] In the preferred embodiment of the above-mentioned method for quality detection of moisture content of sand and gravel aggregates, the specific steps of calculating the moisture content B of sand and gravel aggregates before drying are:

[0138] According to the mass after drying mty, the mass before drying m and the moisture content after drying A, the moisture content B of the sand and gravel aggregate before drying is calculated. The specific formula is as follows:

[0139]

[0140] Among them, the value of the mass mty after drying is, mty>0.

[0141] It should be noted that this formula is used to calculate the moisture content of sand and gravel aggregate before drying. It combines the mass before and after drying and the moisture content after drying to determine the moisture content of sand and gravel aggregate before drying; m is the mass of sand and gravel before drying, mty is the mass after drying, and the difference between the two, m-mty, represents the mass of water lost during the drying process; divided by the mass after drying mty and multiplied by 100%, the percentage of the mass of water lost during the drying process to the mass after drying is obtained. This part reflects the change in moisture content corresponding to the change in mass from before drying to after drying; A is the moisture content of sand and gravel aggregate after drying. The moisture content before drying can be obtained by subtracting the moisture content after drying from the moisture content change value calculated previously during the drying process. Because the previous calculation is the proportion of moisture lost during the drying process to the mass after drying, and the moisture content after drying is the proportion relative to the mass after drying, such calculation can be traced back to the moisture content state before drying.

[0142] This formula can intuitively reflect the relationship between the mass change and moisture content before and after drying through simple mass comparison and calculation. You only need to know the mass before drying, the mass after drying, and the moisture content after drying to accurately calculate the moisture content before drying. The calculation process is simple and efficient; the parameters in the formula are easy to obtain, and can be conveniently measured and calculated in actual production. Whether it is to obtain mass data through weighing equipment or to calculate the moisture content after drying according to the previous steps, it has high feasibility and operability; accurate calculation of moisture content before drying helps to better grasp the initial moisture state of sand and gravel aggregates, and provides an important basis for subsequent production process adjustments and quality control. According to the moisture content before drying, parameters such as drying time and temperature can be reasonably arranged to improve production efficiency, reduce energy consumption, and ensure the quality stability of sand and gravel aggregates.

[0143] In the preferred embodiment of the above-mentioned method for quality detection of moisture content of sand and gravel aggregates, the specific steps for determining whether the moisture content of sand and gravel aggregates exceeds the standard are:

[0144] The sand and gravel aggregate moisture content threshold value set Jv includes a primary threshold value Dv0 and a secondary threshold value Dv1, wherein Dv0<Dv1.

[0145] When the moisture content of sand and gravel aggregate before drying is B≤Dv0, the quality of sand and gravel aggregate is judged to be superior, and a first-level evaluation report is generated.

[0146] When Dv0<moisture content of sand and gravel aggregate before drying B≤Dv1, the quality of sand and gravel aggregate is judged to be qualified and a secondary evaluation report is generated.

[0147] When Dv1<the moisture content B of the sand and gravel aggregate before drying, the quality of the sand and gravel aggregate is judged to be unqualified and a third-level diagnostic evaluation report is generated.

[0148] It should be noted that a large number of sand and gravel aggregate samples were selected for comprehensive moisture content testing and analysis; the appropriate moisture content range was determined by evaluating the performance of these samples in different usage scenarios. In concrete production, the impact of sand and gravel aggregates with different moisture contents on key performance indicators such as concrete strength and fluidity was observed, and the upper limit of the moisture content that makes the concrete performance in a relatively ideal state was taken as the first-level threshold, and the moisture content when the moisture content exceeds this value but still does not cause serious impact on the concrete performance is taken as the second-level threshold.

[0149] When the moisture content of sand and gravel aggregate before drying is B≤Dv0, it represents a strict upper limit of the moisture content of sand and gravel aggregate. When the moisture content of sand and gravel aggregate before drying is lower than this threshold, it indicates that the quality of sand and gravel aggregate is in good condition in terms of moisture content, and the impact on subsequent use is small. The assessment report should clearly point out that the moisture content of sand and gravel aggregate is within the qualified range and the quality is qualified. It may include the following contents: the source and batch of sand and gravel aggregate; the specific moisture content value and the comparison with the first-level threshold; suggestions for subsequent use, such as it can be directly used in a specific production process or without further treatment.

[0150] When Dv0<moisture content of sand and gravel aggregate before drying B≤Dv1, it is relatively loose relative to the first-level threshold. When the moisture content of sand and gravel aggregate before drying is between the first-level threshold and the second-level threshold, it indicates that the quality of sand and gravel aggregate can be processed to meet the use requirements.

[0151] The assessment report should analyze the quality status and existing problems of sand and gravel aggregates in detail, including the following: detailed information on sand and gravel aggregates, including source, batch, current moisture content, etc.; analysis of the reasons why the moisture content exceeds the first-level threshold, which may involve the storage environment, transportation process, raw material quality, etc.; put forward specific treatment suggestions, such as further drying, adjustment of production process parameters, etc., to make it meet the use requirements; evaluate the possible impacts, such as the potential impact on concrete performance, construction progress, etc.

[0152] When Dv1<the moisture content B of the sand and gravel aggregate before drying, the quality of the sand and gravel aggregate is judged to be unqualified, indicating that there is a serious risk in the quality of the sand and gravel aggregate and it cannot be used.

[0153] The assessment report should analyze the quality status and existing problems of sand and gravel aggregates in detail, including the following: detailed information on sand and gravel aggregates, including source, batch, current moisture content, etc.; analysis of the reasons why the moisture content exceeds the first-level threshold, which may involve the storage environment, transportation process, raw material quality, etc.; reprocessing and not currently using.

[0154] On the other hand, the present invention also discloses a quality detection system for the moisture content of sandstone aggregates, comprising:

[0155] The sampling module is used to take samples from different parts of the sand and gravel aggregate pile and mix them to obtain initial data.

[0156] The drying module is used to calculate the heating power P according to the initial data, calculate the actual drying time T according to the initial data and the heating power P; calculate the real-time mass change Δm according to the initial data and the actual drying time T t ; Set the mass change threshold Dv, and set the real-time mass change Δm t The mass change value is compared with the mass change threshold value Dv to determine whether the drying is completed.

[0157] The cooling module is used to obtain the post-drying data after drying is completed, and calculate the sand and gravel cooling time Tho based on the post-drying data; set the sand and gravel cooling time threshold Gv, calculate the moisture content A after drying based on the sand and gravel cooling time Tho and the sand and gravel cooling time threshold Gv, and calculate the moisture content B of the sand and gravel aggregate before drying based on the moisture content A after drying.

[0158] The data management module is used to set the sand and gravel aggregate moisture content threshold set Jv, judge whether the sand and gravel aggregate meets the standard according to the comparison result of the moisture content B of the sand and gravel aggregate before drying and the sand and gravel aggregate moisture content threshold set Jv, and generate an evaluation report.

[0159] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware or in combination with computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0160] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0161] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A quality detection method for moisture content of sand and gravel aggregates, characterized in that: include: Samples are taken from different parts of the sand and gravel aggregate pile and mixed to obtain initial data; According to the initial data, the heating power P is calculated. According to the initial data and the heating power P, the actual drying time T is calculated. According to the initial data and the actual drying time T, the real-time mass change Δm is calculated. t ; Set the mass change threshold Dv, and set the real-time mass change Δm t Compare with the mass change threshold Dv to determine whether the drying is completed; When drying is completed, obtain the data after drying, and calculate the cooling time Tho of sand and gravel according to the data after drying; set the cooling time threshold Gv of sand and gravel, calculate the moisture content A after drying according to the cooling time Tho of sand and gravel and the cooling time threshold Gv of sand and gravel, and calculate the moisture content B of sand and gravel aggregate before drying according to the moisture content A after drying; A sand and gravel aggregate moisture content threshold set Jv is set. According to the comparison result between the moisture content B of the sand and gravel aggregate before drying and the sand and gravel aggregate moisture content threshold set Jv, it is judged whether the sand and gravel aggregate meets the standard and an evaluation report is generated.

2. The method for quality detection of moisture content of sandstone aggregate according to claim 1, characterized in that: The specific steps for calculating the heating power P are: The initial data include the mass before drying m, the specific heat capacity before drying C, the initial temperature θ0, the initial humidity H and the air content Q air ; Set the drying target temperature θ1 and the estimated drying time t; According to the initial data, the drying target temperature θ1 and the estimated drying time t, the heating power P is calculated based on the following specific formula: Among them, k1 represents the correction coefficient of the mass m before drying; k2 represents the correction coefficient of the initial humidity H; k3 represents the air content Q air The correction factor of .

3. The quality detection method for moisture content of sandstone aggregate according to claim 2 is characterized in that: The specific steps for calculating the actual drying time T are: The initial data also includes the drying ambient air humidity H air and initial warm-up time T0; Get the drying equipment efficiency μ; According to the drying environment air humidity H air , initial preheating time T0, drying equipment efficiency μ and heating power P, calculate the actual drying time T, the specific formula based on which is as follows:

4. The method for quality detection of moisture content of sandstone aggregate according to claim 3 is characterized in that: Calculate real-time mass change Δm t The specific steps are: Get the real-time mass m of sand and gravel aggregate T ; According to the mass m before drying and the real-time mass m of sand and gravel aggregate T , calculate the real-time mass change Δm t The specific formula is as follows: Here, q represents the mass loss rate constant.

5. The method for quality detection of moisture content of sandstone aggregate according to claim 4, characterized in that: The specific steps to determine whether the drying is completed are: Set the mass change threshold Dv; When the real-time mass change Δm t When ≤Dv, the drying is considered complete; When Dv<real-time mass change Δm t When the drying state is judged as not meeting the standard, the drying is continued until the real-time mass change Δm is met. t ≤Dv.

6. The quality detection method for moisture content of sandstone aggregate according to claim 5 is characterized in that: The specific steps for calculating the cooling time Tho of sand and gravel are: Set the initial cooling time constant Y0; The data after drying include the mass after drying mty, the specific heat capacity of sand and gravel after drying C s 、The initial temperature of sand and gravel after drying θ s , the surface area D of the sand and gravel paving and the real-time room temperature θ room ; According to the drying data and the initial cooling time constant Y0, the cooling time Tho of the sand and gravel is calculated. The specific formula is as follows: Among them, g represents the comprehensive heat transfer coefficient of the flat surface area D of sand and gravel.

7. The quality detection method for moisture content of sandstone aggregate according to claim 6 is characterized by: The specific steps for calculating the moisture content A after drying are: According to the mass after drying mty, the mass before drying m, the cooling time of sand and gravel Tho and the threshold value of the cooling time of sand and gravel Gv, the moisture content A after drying is calculated. The specific formula is as follows: Among them, a represents the correction coefficient of sand and gravel cooling time Tho.

8. The method for quality detection of moisture content of sandstone aggregate according to claim 7, characterized in that: The specific steps for calculating the moisture content B of sand and gravel aggregate before drying are: According to the mass after drying mty, the mass before drying m and the moisture content after drying A, the moisture content B of the sand and gravel aggregate before drying is calculated. The specific formula is as follows: Among them, the value of the mass mty after drying is, mty>0.

9. A quality detection method for moisture content of sandstone aggregate according to claim 8, characterized in that: The specific steps to determine whether the moisture content of sand and gravel aggregate exceeds the standard are: The sand and gravel aggregate moisture content threshold set Jv includes a primary threshold Dv0 and a secondary threshold Dv1, where Dv0 < Dv1; When the moisture content of sand and gravel aggregate before drying is B≤Dv0, the quality of sand and gravel aggregate is judged to be excellent and a first-level evaluation report is generated; When Dv0<moisture content of sand and gravel aggregate before drying B≤Dv1, the quality of sand and gravel aggregate is judged to be qualified and a secondary evaluation report is generated; When Dv1<the moisture content B of the sand and gravel aggregate before drying, the quality of the sand and gravel aggregate is judged to be unqualified and a third-level evaluation report is generated.

10. A quality detection system for moisture content of sand and gravel aggregates, characterized by: include: The sampling module is used to take samples from different parts of the sand and gravel aggregate pile and mix them to obtain initial data; The drying module is used to calculate the heating power P according to the initial data, calculate the actual drying time T according to the initial data and the heating power P; calculate the real-time mass change Δm according to the initial data and the actual drying time T t ; Set the mass change threshold Dv, and set the real-time mass change Δm t Compare with the mass change threshold Dv to determine whether the drying is completed; The cooling module is used to obtain the post-drying data after drying is completed, and calculate the sand and gravel cooling time Tho according to the post-drying data; set the sand and gravel cooling time threshold Gv, calculate the moisture content A after drying according to the sand and gravel cooling time Tho and the sand and gravel cooling time threshold Gv, and calculate the moisture content B of the sand and gravel aggregate before drying according to the moisture content A after drying; The data management module is used to set the sand and gravel aggregate moisture content threshold set Jv, judge whether the sand and gravel aggregate meets the standard according to the comparison result of the moisture content B of the sand and gravel aggregate before drying and the sand and gravel aggregate moisture content threshold set Jv, and generate an evaluation report.

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