Concrete moisture content detection method and system and electronic equipment

Abstract

The invention provides a concrete water content detection method and system and electronic equipment, and the method comprises the steps: injecting slurry corresponding to different water contents into a preset height position in a slurry tank, controlling the slurry tank to be in a stirring state, and obtaining a constant current value of the slurry tank and a temperature value of the slurry; then obtaining a height value corresponding to the preset height position in the slurry tank, and constructing a water content detection model corresponding to the slurry based on the constant current value, the height value, the water content and the temperature value; then, after to-be-detected slurry is injected into the slurry tank, a real-time current value corresponding to the slurry tank and a real-time temperature value and a real-time height value corresponding to the to-be-detected slurry are obtained, and after the data are input into the water content detection model, the real-time water content corresponding to the to-be-detected slurry is obtained. According to the method, the water content of the slurry in the slurry tank can be detected online in real time, the step of detecting the water content through manual sampling is omitted, the production efficiency is improved, and the labor cost is saved.

Description

Technical Field

[0001] The present invention relates to the field of building material production detection, and in particular to a concrete moisture content detection method, system and electronic equipment. Background Art

[0002] Concrete is widely used in various building materials. Its preparation process usually requires pouring, static curing, cutting, autoclaving and other processes. Before pouring, the moisture content of the slurry in the slurry tank needs to be measured for batching calculation. Therefore, efficient and accurate determination of the moisture content of the slurry in the slurry tank is the basis for the successful pouring of concrete.

[0003] In the production of aerated concrete, the slurry is stored in a slurry tank after wet grinding. A mixer is installed in the slurry tank to continuously stir the slurry to ensure the uniformity of the slurry. During the continuous stirring process, the slurry will lose water, resulting in a decrease in moisture content; in addition, after the newly ground slurry is injected into the slurry tank, the mixing of the new and old slurries will cause the slurry moisture content to fluctuate again. In the existing concrete moisture content detection process, it is impossible to dynamically and real-time detect the slurry moisture content in response to the above situation. Summary of the invention

[0004] In view of this, the purpose of the present invention is to provide a method, system and electronic equipment for detecting the moisture content of concrete. The method can detect the moisture content of slurry in the slurry tank in real time online, eliminating the steps of manual sampling to detect the moisture content, improving production efficiency and saving labor costs; and in the detection process, fully considering the influence of temperature on the moisture content of slurry, thereby improving the measurement accuracy.

[0005] In a first aspect, an embodiment of the present invention provides a method for detecting moisture content of concrete, the method comprising:

[0006] Slurry preparation step: after setting a plurality of groups of slurries with different water contents, obtaining slurry samples corresponding to the slurries, and calculating the water content of the slurries based on the slurry samples;

[0007] Data determination steps: injecting slurry corresponding to the water content into a preset height position in the slurry tank, controlling the slurry tank to be in a stirring state and obtaining a constant current value of the slurry tank and a temperature value of the slurry;

[0008] Model building steps: obtaining the height value corresponding to the preset height position in the slurry tank, and building a moisture content detection model corresponding to the slurry based on the constant current value, height value, moisture content and temperature value;

[0009] Water content detection steps: After the slurry to be tested is injected into the slurry tank, the real-time current value corresponding to the slurry tank and the real-time temperature value and real-time height value corresponding to the slurry to be tested are obtained, and after the real-time current value, real-time temperature value and real-time height value are input into the water content detection model, the real-time water content corresponding to the slurry to be tested output by the water content detection model is obtained.

[0010] Optionally, the data determination step includes:

[0011] Injecting slurry corresponding to the water content into a first preset height position in the slurry tank, controlling the slurry tank to be in a stirring state and obtaining a first constant current value corresponding to the slurry tank;

[0012] After controlling the slurry tank to release the slurry to a second preset height position in the slurry tank, obtaining a second constant current value corresponding to the slurry tank;

[0013] The temperature of the slurry is obtained in real time using the thermocouple in the slurry tank.

[0014] Optional model building steps include:

[0015] Determine the height value corresponding to the preset height position according to the distance between the preset height position and the bottom origin of the slurry tank;

[0016] The moisture content detection model corresponding to the slurry is constructed with moisture content as the target parameter, height value and constant current value as the variable parameters, and temperature value as the weight parameter.

[0017] Optionally, a moisture content detection model corresponding to the slurry is constructed with the moisture content as the target parameter, the height value and the constant current value as the variable parameters, and the temperature value as the weight parameter, including:

[0018] Constructing a first fitting function corresponding to the constant current value using the height value and the water content, and obtaining coefficients corresponding to the height value and the water content in the first fitting function;

[0019] The second fitting function corresponding to the slurry is constructed by using the coefficients, with the water content as the target parameter, the height value and the constant current value as the variable parameters;

[0020] The weight parameter corresponding to the temperature value is obtained, and the moisture content detection model is constructed using the product result of the second fitting function and the weight parameter.

[0021] Optionally, constructing a first fitting function corresponding to the constant current value using the height value and the water content, and obtaining coefficients corresponding to the height value and the water content in the first fitting function, includes:

[0022] Taking the constant current value z as the target value, the height value y and the water content x are subjected to binary fitting to determine the first fitting function; wherein the first fitting function is z=e 0 +ax+by+cx2 +dy 2 +fxy;

[0023] Get the first coefficient e corresponding to the height value and water content in the first fitting function 0 , the second coefficient a, the third coefficient b, the fourth coefficient c, the fifth coefficient d and the sixth coefficient f.

[0024] Optionally, the second fitting function corresponding to the slurry is constructed by using the coefficients with the water content as the target parameter, the height value and the constant current value as the variable parameters, including:

[0025] Get the first coefficient e corresponding to the first fitting function 0 , the second coefficient a, the third coefficient b, the fourth coefficient c, the fifth coefficient d and the sixth coefficient f;

[0026] With the water content x as the target parameter, the height value y and the constant current value z as the variable parameters, the first coefficient e 0 , the second coefficient a, the third coefficient b, the fourth coefficient c, the fifth coefficient d and the sixth coefficient f construct a second fitting function; wherein the second fitting function is: x=[(ze 0 -by-dy 2 ) / c+(fy+a) 2 / 4c 2 ]^1 / 2-(fy+a) / 2c×100%.

[0027] Optionally, a weight parameter corresponding to the temperature value is obtained, and a moisture content detection model is constructed using a product result of the second fitting function and the weight parameter, including:

[0028] Determine the weight parameter α corresponding to the temperature value; when the temperature value is greater than or equal to 60 and less than 80°C, the weight parameter α=1.0; when the temperature value is greater than or equal to 40 and less than 60°C, the weight parameter α=1.05; when the temperature value is greater than or equal to 20 and less than 40°C, the weight parameter α=1.1; when the temperature value is less than 20°C, the weight parameter α=1.15;

[0029] The product result of the second fitting function and the weight parameter is used to obtain a third fitting formula corresponding to the water content x, the height value y, the constant current value z, and the weight parameter α;

[0030] The moisture content detection model is constructed based on the third fitting formula; wherein the third fitting formula is: x = α {[(ze 0 -by-dy 2 ) / c+(fy+a) 2 / 4c 2 ]^1 / 2-(fy+a) / 2c}×100%.

[0031] Optional, water-containing detection steps include:

[0032] Obtain the third fitting formula in the moisture content detection model; wherein, in the third fitting formula, the first coefficient e 0 =0.084; second coefficient a=0.076; third coefficient b=11.5; fourth coefficient c=-0.002; fifth coefficient d=-0.00038; sixth coefficient f=-0.038;

[0033] After the slurry to be tested is injected into the slurry tank, the real-time current value z corresponding to the slurry tank is obtained. 1 And the real-time temperature value and real-time height value y corresponding to the slurry to be tested 1 , and use the real-time temperature value to determine the weight parameter α;

[0034] The real-time moisture content x corresponding to the slurry to be tested is calculated using the third fitting formula 1 ; where x 1 =α{[(0.084+11.5y 1 -z 1 -0.00038y 1 2 ) / 0.002+(0.076-0.038y 1 ) 2 / 1.6E-5]^1 / 2+(0.076-0.038y 1 ) / 0.004}×100%.

[0035] In a second aspect, the present invention provides a concrete moisture content detection system, the system comprising:

[0036] A slurry preparation module is used to obtain slurry samples corresponding to the slurries after setting multiple groups of slurries with different water contents, and calculate the water content of the slurries based on the slurry samples;

[0037] A data measurement module is used to inject slurry corresponding to the water content into a preset height position in the slurry tank, control the slurry tank to be in a stirring state, and obtain a constant current value of the slurry tank and a temperature value of the slurry;

[0038] A model building module is used to obtain the height value corresponding to the preset height position in the slurry tank, and to build a moisture content detection model corresponding to the slurry based on the constant current value, height value, moisture content and temperature value;

[0039] The water content detection module is used to obtain the real-time current value corresponding to the slurry tank and the real-time temperature value and real-time height value corresponding to the slurry to be tested after injecting the slurry to be tested into the slurry tank, and after inputting the real-time current value, real-time temperature value and real-time height value into the water content detection model, obtain the real-time water content corresponding to the slurry to be tested output by the water content detection model.

[0040] In a third aspect, an embodiment of the present invention further provides an electronic device, including a processor and a memory, wherein the memory stores computer executable instructions that can be executed by the processor, and the processor executes the computer executable instructions to implement the steps of the concrete moisture content detection method provided in the first aspect.

[0041] In a fourth aspect, an embodiment of the present invention further provides a storage medium storing computer executable instructions. When the computer executable instructions are called and executed by a processor, the computer executable instructions prompt the processor to implement the steps of the concrete moisture content detection method provided in the first aspect.

[0042] A method, system and electronic device for detecting the moisture content of concrete provided by an embodiment of the present invention, in the process of detecting the moisture content of slurry in a slurry tank, firstly, after setting a plurality of groups of slurries with different moisture contents, slurry samples corresponding to the slurries are obtained, and the moisture content of the slurry is calculated based on the slurry samples; then, the slurry corresponding to the moisture content is injected into the slurry tank at a preset height position, the slurry tank is controlled to be in a stirring state and the constant current value of the slurry tank and the temperature value of the slurry are obtained; then, the height value corresponding to the preset height position in the slurry tank is obtained, and a moisture content detection model corresponding to the slurry is constructed based on the constant current value, height value, moisture content and temperature value; finally, after the slurry to be tested is injected into the slurry tank, the real-time current value corresponding to the slurry tank and the real-time temperature value and real-time height value corresponding to the slurry to be tested are obtained, and after the real-time current value, real-time temperature value and real-time height value are input into the moisture content detection model, the real-time moisture content corresponding to the slurry to be tested output by the moisture content detection model is obtained. The method can detect the moisture content of the slurry in the slurry tank in real time online, eliminating the steps of manual sampling to detect the moisture content, improving production efficiency and saving labor costs; and fully considering the effect of temperature on the moisture content of the slurry during the detection process, thereby improving the measurement accuracy.

[0043] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description, claims and drawings.

[0044] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0046] Figure 1 A flow chart of a method for detecting moisture content of concrete provided by an embodiment of the present invention;

[0047] Figure 2 A flowchart of step S102 in a method for detecting moisture content of concrete provided by an embodiment of the present invention;

[0048] Figure 3 A flowchart of step S103 in a method for detecting moisture content of concrete provided by an embodiment of the present invention;

[0049] Figure 4 A flowchart of step S302 in a method for detecting moisture content of concrete provided by an embodiment of the present invention;

[0050] Figure 5 A flowchart of step S401 in a method for detecting moisture content of concrete provided by an embodiment of the present invention;

[0051] Figure 6 A flowchart of step S402 in a method for detecting moisture content of concrete provided by an embodiment of the present invention;

[0052] Figure 7 A flowchart of step S403 in a method for detecting moisture content of concrete provided by an embodiment of the present invention;

[0053] Figure 8 A flowchart of step S104 in a method for detecting moisture content of concrete provided by an embodiment of the present invention;

[0054] Fig. 9 A graph showing the relationship between motor current, slurry moisture content and slurry height at a specific temperature in a method for detecting concrete moisture content provided by an embodiment of the present invention;

[0055] Fig.10 A schematic diagram of a concrete moisture content detection system provided by an embodiment of the present invention;

[0056] Fig.11 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention.

[0057] icon:

[0058] 1010 - slurry preparation module; 1020 - data determination module; 1030 - model building module; 1040 - water content detection module;

[0059] 101 - processor; 102 - memory; 103 - bus; 104 - communication interface. DETAILED DESCRIPTION

[0060] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution of the present invention will be clearly and completely described in combination with the embodiments below. Obviously, the described embodiments are 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.

[0061] Concrete is widely used in various building materials. Its preparation process usually requires pouring, static curing, cutting, autoclaving and other processes. Before pouring, the moisture content of the slurry in the slurry tank needs to be measured for batching calculation. Therefore, efficient and accurate determination of the moisture content of the slurry in the slurry tank is the basis for the successful pouring of concrete.

[0062] For the production of aerated concrete, the slurry is stored in a slurry tank after wet grinding. A mixer is installed in the slurry tank to continuously stir the slurry to ensure the uniformity of the slurry. During the continuous stirring process, the slurry will lose water, resulting in a decrease in the moisture content; in addition, after the newly ground slurry is injected into the slurry tank, the mixing of the new and old slurry will cause the moisture content of the slurry to fluctuate again. In the existing concrete moisture content detection process, it is impossible to dynamically and real-time detect the moisture content of the slurry in response to the above situation. Based on this, the present invention provides a concrete moisture content detection method, system and electronic equipment, which can detect the moisture content of the slurry in the slurry tank in real time online, eliminating the steps of manual sampling to detect the moisture content, improving production efficiency and saving labor costs; and fully considering the influence of temperature on the moisture content of the slurry during the detection process, thereby improving the measurement accuracy.

[0063] To facilitate understanding of this embodiment, a concrete moisture content detection method disclosed in an embodiment of the present invention is first described in detail. Figure 1 As shown, including:

[0064] Slurry preparation step S101: after setting a plurality of groups of slurries with different water contents, obtaining slurry samples corresponding to the slurries, and calculating the water content of the slurries based on the slurry samples;

[0065] Data determination step S102: injecting slurry corresponding to the water content into a preset height position in the slurry tank, controlling the slurry tank to be in a stirring state and obtaining a constant current value of the slurry tank and a temperature value of the slurry;

[0066] Model building step S103: obtaining the height value corresponding to the preset height position in the slurry tank, and building a moisture content detection model corresponding to the slurry based on the constant current value, height value, moisture content and temperature value;

[0067] Water content detection step S104: After the slurry to be tested is injected into the slurry tank, the real-time current value corresponding to the slurry tank and the real-time temperature value and real-time height value corresponding to the slurry to be tested are obtained, and after the real-time current value, real-time temperature value and real-time height value are input into the water content detection model, the real-time water content corresponding to the slurry to be tested output by the water content detection model is obtained.

[0068] The core of this solution is the process of constructing a moisture content detection model. In the process of slurry preparation, a ball mill can be used to wet grind the slurry, and multiple groups of slurries with different moisture contents can be obtained by controlling the amount of water added. For each group of slurry, a portion needs to be taken out as a slurry sample, and then the corresponding moisture content is accurately calculated through the slurry sample. Specifically, a functional electric heating furnace can be used to evaporate the water from the slurry sample, and the moisture content of the slurry can be calculated based on the mass difference before and after evaporation.

[0069] After obtaining the specific moisture content, the slurry is injected into the slurry tank to perform the data measurement step. The data measurement step requires controlling the slurry tank to be in a stirring state with a constant stirring speed, and then pouring the slurry with a known moisture content into the slurry tank to a preset height. After the slurry tank is continuously stirred for a period of time, its stirring motor is in a stable working state, and the corresponding motor current value is also in a stable state. At this time, the constant current value corresponding to the slurry tank is obtained and used to construct the moisture content detection model. At the same time, the temperature value of the slurry is obtained through the relevant temperature sensor in the slurry tank, which is also used in the construction of the moisture content detection model.

[0070] In the process of constructing the moisture content detection model, the height of the slurry in the slurry tank is also required, which can be obtained through the laser rangefinder set in the slurry tank. Since there are multiple groups of slurries with different moisture contents, the constant current value corresponding to the slurry tank at different heights of the slurry under different moisture contents can be obtained.

[0071] The process of constructing the moisture content detection model is to use the constant current value as the target value, and the moisture content, height value and temperature value as the function of the related variables. In layman's terms, the constant current value is used as the result, and the moisture content, height value and temperature value are used as parameters to construct the functional relationship corresponding to the moisture content detection model. In actual scenarios, the process of constructing the moisture content detection model is the process of obtaining the correlation coefficient in the corresponding function.

[0072] After the moisture content detection model is constructed, the moisture content detection model can be used to detect the moisture content after the slurry to be tested is injected into the slurry tank. The real-time current value corresponding to the slurry tank is obtained according to the above-mentioned current value acquisition method, and the real-time temperature value and real-time height value corresponding to the slurry to be tested are obtained. The real-time current value, real-time temperature value and real-time height value are input into the moisture content detection model, and the real-time moisture content of the slurry to be tested can be calculated by combining the determined correlation function coefficients.

[0073] Optionally, the data determination step S102, such as Figure 2 As shown, including:

[0074] Step S201, injecting slurry corresponding to the water content into a first preset height position in a slurry tank, controlling the slurry tank to be in a stirring state and obtaining a first constant current value corresponding to the slurry tank;

[0075] Step S202, after controlling the slurry tank to release the slurry to a second preset height position in the slurry tank, obtaining a second constant current value corresponding to the slurry tank;

[0076] Step S203, using the thermocouple in the slurry tank to obtain the temperature value of the slurry in real time.

[0077] In a specific scenario, the data measurement step refers to turning on the relevant stirring device of the slurry tank and setting the stirring speed of the mixer to a constant value, for example, a constant value of 15 to 40 r / min. Then pour the slurry with a water content of 30% to the first preset height position, that is, 90% of the height of the slurry tank, and continue stirring for 5 to 10 minutes until the current of the stirring motor stabilizes, and record the first constant current value after the current stabilizes. Subsequently, release part of the slurry from the bottom of the slurry tank so that the slurry height drops to the second preset height position, that is, 80% of the slurry tank, and then record the second constant current value after the current of the stirring motor stabilizes.

[0078] In actual scenarios, you can continue to release some slurry from the bottom of the slurry tank until the slurry height reaches 70% of the slurry tank. After the stirring motor current stabilizes, record the subsequent current value. Similarly, the slurry height decreases in a gradient of 10%, and the motor current is recorded in sequence until the slurry is completely discharged.

[0079] The temperature value acquisition process uses the thermocouple in the slurry tank to obtain the temperature in real time, and the details are not repeated here. The data acquisition process of the slurry with a moisture content of 30% is similar to that of grinding slurries with moisture contents of approximately 40%, 50%, and 60% by controlling the amount of water added to the mill, and injecting them into the slurry tank respectively, and measuring the constant current value of the slurry at different moisture contents and different heights in accordance with the above method.

[0080] Optionally, the model building step S103 is as follows: Figure 3 As shown, including:

[0081] Step S301, determining a height value corresponding to a preset height position according to a distance between the preset height position and a bottom origin of a slurry tank;

[0082] Step S302, constructing a moisture content detection model corresponding to the slurry with the moisture content as the target parameter, the height value and the constant current value as the variable parameters, and the temperature value as the weight parameter.

[0083] The moisture content detection model in this embodiment uses the constant current value as the target value, the moisture content and the height value as variables, and the temperature value as a weight function. Optionally, step S302 of constructing the moisture content detection model corresponding to the slurry with the moisture content as the target parameter, the height value and the constant current value as the variable parameters, and the temperature value as the weight parameter, such as Figure 4 As shown, including:

[0084] Step S401, constructing a first fitting function corresponding to a constant current value using the height value and the water content, and obtaining coefficients corresponding to the height value and the water content in the first fitting function;

[0085] Step S402, using the water content as the target parameter, the height value and the constant current value as the variable parameters, and using the coefficients to construct a second fitting function corresponding to the slurry;

[0086] Step S403, obtaining a weight parameter corresponding to the temperature value, and constructing a moisture content detection model using the product result of the second fitting function and the weight parameter.

[0087] The process of constructing a moisture content detection model refers to taking the constant current value z as the target function, the slurry moisture content x and the slurry height value y as the related variables, and establishing the corresponding relationship between the current value-moisture content-slurry height value through binary fitting. The corresponding relationship can be characterized by a related fitting function, and the correlation coefficient in the fitting function is used as the model construction result. Specifically, a first fitting function corresponding to the constant current value is constructed using the height value and the moisture content, and the coefficient corresponding to the height value and the moisture content in the first fitting function is obtained in step S401, as shown in FIG. Figure 5 As shown, including:

[0088] Step S501, taking the constant current value z as the target value, performing binary fitting on the height value y and the water content x, and determining the first fitting function; wherein the first fitting function is z=e 0 +ax+by+cx 2 +dy 2 +fxy;

[0089] Step S502: Obtain the first coefficient e corresponding to the height value and the water content in the first fitting function. 0 , the second coefficient a, the third coefficient b, the fourth coefficient c, the fifth coefficient d and the sixth coefficient f.

[0090] In the first fitting function, the constant current value z, the height value y, and the water content x are all known quantities, and the first coefficient e 0 The second coefficient a, the third coefficient b, the fourth coefficient c, the fifth coefficient d and the sixth coefficient f are unknown quantities. The binary form of the first fitting function is obtained by performing binary fitting on the constant current value z, the height value y and the water content x, and then the first coefficient e is obtained. 0 , the specific results of the second coefficient a, the third coefficient b, the fourth coefficient c, the fifth coefficient d and the sixth coefficient f.

[0091] Optionally, a step S402 of constructing a second fitting function corresponding to the slurry using coefficients with water content as the target parameter, height value and constant current value as variable parameters is performed, such as Figure 6 As shown, including:

[0092] Step S601, obtaining the first coefficient e corresponding to the first fitting function 0 , the second coefficient a, the third coefficient b, the fourth coefficient c, the fifth coefficient d and the sixth coefficient f;

[0093] Step S602, taking the water content x as the target parameter, the height value y and the constant current value z as the variable parameters, and using the first coefficient e 0 , the second coefficient a, the third coefficient b, the fourth coefficient c, the fifth coefficient d and the sixth coefficient f construct a second fitting function; wherein the second fitting function is: x=[(ze 0 -by-dy 2 ) / c+(fy+a) 2 / 4c 2 ]^1 / 2-(fy+a) / 2c×100%.

[0094] The first coefficient e 0 After obtaining the second coefficient a, the third coefficient b, the fourth coefficient c, the fifth coefficient d and the sixth coefficient f, the water content x is taken as the target parameter, the height value y and the constant current value z are taken as the variable parameters, and the second fitting function corresponding to the water content is obtained by reverse deduction, that is, x=[(ze 0 -by-dy 2 ) / c+(fy+a) 2 / 4c 2 ]^1 / 2-(fy+a) / 2c×100%. The first coefficient e 0 , the second coefficient a, the third coefficient b, the fourth coefficient c, the fifth coefficient d and the sixth coefficient f are known quantities, the water content x is the unknown quantity to be solved, and the height value y and the constant current value z are input parameters.

[0095] Optionally, a weight parameter corresponding to the temperature value is obtained, and a moisture content detection model is constructed using the product of the second fitting function and the weight parameter in step S403, such as Figure 7 As shown, including:

[0096] Step S701, determining a weight parameter α corresponding to the temperature value; when the temperature value is greater than or equal to 60 and less than 80°C, the weight parameter α=1.0; when the temperature value is greater than or equal to 40 and less than 60°C, the weight parameter α=1.05; when the temperature value is greater than or equal to 20 and less than 40°C, the weight parameter α=1.1; when the temperature value is less than 20°C, the weight parameter α=1.15;

[0097] Step S702, using the product of the second fitting function and the weight parameter, a third fitting formula corresponding to the water content x, the height value y, the constant current value z, and the weight parameter α is obtained;

[0098] Step S703, constructing a moisture content detection model based on a third fitting formula; wherein the third fitting formula is: x=α{[(ze 0 -by-dy 2 ) / c+(fy+a) 2 / 4c 2 ]^1 / 2-(fy+a) / 2c}×100%.

[0099] The weight parameter is a parameter used to adjust the calculated moisture content of the slurry at different temperatures. The weight parameter is α. When the temperature value is greater than or equal to 60 and less than 80°C, α=1.0; when the temperature value is greater than or equal to 40 and less than 60°C, α=1.05; when the temperature value is greater than or equal to 20 and less than 40°C, α=1.1; when the temperature value is less than 20°C, α=1.15.

[0100] After the obtained weight parameter α is multiplied by the second fitting function, the third fitting formula corresponding to the water content x, the height value y, the constant current value z, and the weight parameter α is obtained. The weight parameter α is similar to the height value y and the constant current value z, and they are all input parameters of the third fitting formula. The first coefficient e 0 , the second coefficient a, the third coefficient b, the fourth coefficient c, the fifth coefficient d and the sixth coefficient f are known quantities, and the water content x is the unknown quantity that needs to be solved.

[0101] Optionally, the water content detection step S104, such as Figure 8 As shown, including:

[0102] Step S801, obtaining the third fitting formula in the moisture content detection model; wherein, in the third fitting formula, the first coefficient e 0=0.084; second coefficient a=0.076; third coefficient b=11.5; fourth coefficient c=-0.002; fifth coefficient d=-0.00038; sixth coefficient f=-0.038;

[0103] Step S802: After injecting the slurry to be tested into the slurry tank, obtain the real-time current value z corresponding to the slurry tank. 1 And the real-time temperature value and real-time height value y corresponding to the slurry to be tested 1 , and use the real-time temperature value to determine the weight parameter α;

[0104] Step S803, using the third fitting formula to calculate the real-time moisture content x corresponding to the slurry to be tested 1 ; where x 1 =α{[(0.084+11.5y 1 -z 1 -0.00038y 1 2 ) / 0.002+(0.076-0.038y 1 ) 2 / 1.6E-5]^1 / 2+(0.076-0.038y 1 ) / 0.004}×100%.

[0105] In the specific implementation process, the stirring speed of the mixer is set to be constant at 20r / min. A laser rangefinder is set on the top of the slurry tank, and the slurry with a water content of 30% is poured to 4.5m of the slurry tank (90% of the height of the slurry tank), and stirring is continued for 5 minutes until the current of the stirring motor is stable. After the current is stable, the motor current is recorded as 45.6A. Some slurry is released from the bottom of the slurry tank until the slurry height is 4.0m (80% of the slurry tank). After the current of the stirring motor is stable, the current value is recorded as 41.3A. Some slurry is released from the bottom of the slurry tank again until the slurry height is 3.5m (70% of the height of the slurry tank). After the current of the stirring motor is stable, the current value is recorded as 37.4A. By analogy, the gradient of 10% of the slurry height decreases successively, and the motor current is recorded successively. When the slurry height is 3.0m, 2.5m, 2.0m, 1.5m, 1.0m, 0.5m and 0m, the motor current is 33.5A, 28.1A, 22.3A, 16.3A, 10.4A, 5.8A and 0.3A respectively.

[0106] Furthermore, by controlling the amount of water added to the mill, slurries with moisture contents of 40%, 50%, and 60% were ground and injected into the slurry tank respectively. The current value of the stirring motor was measured at different moisture contents and heights in the same manner as the 30% slurry.

[0107] Taking the motor current z as the objective function, the slurry moisture content x and the slurry height y as the related variables, the relationship between the motor current, slurry moisture content and slurry height is established through binary fitting, as follows:

[0108] z=0.084+0.076x+11.5y-0.002x 2 -0.00038y 2 -0.038xy;

[0109] Then take the moisture content as the objective function and inversely infer the slurry moisture content:

[0110] x={[(0.084+11.5yz-0.00038y 2 ) / 0.002+(0.076-0.038y) 2 / 1.6E-5]^1 / 2+(0.07

[0111] 6-0.038y) / 0.004}×100%.

[0112] Depending on the slurry temperature, the slurry moisture content should be multiplied by the adjustment coefficient α, as follows:

[0113] x 1 =α{[(0.084+11.5y 1 -z 1 -0.00038y 1 2 ) / 0.002+(0.076-0.038y 1 ) 2 / 1.6E-5]^1 / 2+(

[0114] 0.076-0.038y 1 ) / 0.004}×100%.

[0115] When the temperature is 48°C, the corresponding α is 1.05. The relationship between the motor current, slurry moisture content and slurry height is shown in the figure below: Fig. 9 As shown in the actual scene, when the slurry height is 3.8m and the motor current is 38.5A, after the above calculation and reference Fig. 9 The moisture content of the slurry was 38.5%. At the same time, the inventor took out 1 kg of the slurry in the stirring tank to evaporate the water, and measured the difference before and after evaporation to obtain a moisture content of 38.9%, which was almost the same.

[0116] It is worth mentioning that the adjustment coefficient α corresponding to different slurry temperatures is different. When the temperature value is greater than or equal to 60 and less than 80°C, α = 1.0; when the temperature value is greater than or equal to 40 and less than 60°C, α = 1.05; when the temperature value is greater than or equal to 20 and less than 40°C, α = 1.1; when the temperature value is less than 20°C, α = 1.15. Therefore, the temperature of the slurry can be obtained first during the detection process, and then the corresponding weight parameter can be obtained according to the temperature, and the adjustment coefficient α can be adjusted accordingly. Fig. 9 After making corresponding adjustments to the curve in, the moisture content of the slurry can be obtained by combining the curve with the slurry height and the motor current.

[0117] From the concrete moisture content detection method mentioned in the above embodiment, it can be seen that this method can detect the moisture content of the slurry in the slurry tank in real time online, eliminating the steps of manual sampling to detect the moisture content, improving production efficiency, and saving labor costs; and in the detection process, the influence of temperature on the moisture content of the slurry is fully considered, thereby improving the measurement accuracy.

[0118] Corresponding to the concrete moisture content detection method provided in the above embodiment, the embodiment of the present invention provides a concrete moisture content detection system, such as Fig.10 As shown, the system includes:

[0119] The slurry preparation module 1010 is used to obtain slurry samples corresponding to the slurries after setting multiple groups of slurries with different water contents, and calculate the water content of the slurries based on the slurry samples;

[0120] The data determination module 1020 is used to inject the slurry corresponding to the water content into the preset height position in the slurry tank, control the slurry tank to be in a stirring state and obtain the constant current value of the slurry tank and the temperature value of the slurry;

[0121] The model building module 1030 is used to obtain the height value corresponding to the preset height position in the slurry tank, and to build a moisture content detection model corresponding to the slurry based on the constant current value, the height value, the moisture content and the temperature value;

[0122] The water content detection module 1040 is used to obtain the real-time current value corresponding to the slurry tank and the real-time temperature value and real-time height value corresponding to the slurry to be tested after the slurry to be tested is injected into the slurry tank, and after inputting the real-time current value, real-time temperature value and real-time height value into the water content detection model, obtain the real-time water content corresponding to the slurry to be tested output by the water content detection model.

[0123] From the concrete moisture content detection system mentioned in the above embodiment, it can be seen that the system is capable of real-time online detection of the moisture content of the slurry in the slurry tank, eliminating the steps of manual sampling to detect the moisture content, improving production efficiency, and saving labor costs; and in the detection process, the influence of temperature on the moisture content of the slurry is fully considered, thereby improving the measurement accuracy.

[0124] The concrete moisture content detection system provided in the embodiment of the present invention has the same implementation principle and technical effects as those of the aforementioned concrete moisture content detection method embodiment. For the sake of brief description, for matters not mentioned in the system embodiment, reference can be made to the corresponding contents in the aforementioned concrete moisture content detection method embodiment.

[0125] This embodiment also provides an electronic device. The structural diagram of the electronic device is as follows: Fig.11 As shown, the device includes a processor 101 and a memory 102; wherein the memory 102 is used to store one or more computer instructions, and the one or more computer instructions are executed by the processor to implement the steps of the above-mentioned concrete moisture content detection method.

[0126] Fig.11 The electronic device shown further includes a bus 103 and a communication interface 104 , and the processor 101 , the communication interface 104 and the memory 102 are connected via the bus 103 .

[0127] The memory 102 may include a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk storage. The bus 103 may be an ISA bus, a PCI bus, or an EISA bus. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Fig.11 Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0128] The communication interface 104 is used to connect to at least one user terminal and other network units through a network interface, and send the encapsulated IPv4 message or IPv4 message to the user terminal through the network interface.

[0129] The processor 101 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit or software instructions in the processor 101. The above processor 101 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The disclosed methods, steps and logic block diagrams in the embodiments of the present disclosure can be implemented or executed. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in conjunction with the embodiments of the present disclosure can be directly embodied as a hardware decoding processor for execution, or a combination of hardware and software modules in the decoding processor for execution. The software module may be located in a storage medium mature in the art, such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 102, and the processor 101 reads the information in the memory 102 and completes the steps of the method of the above embodiment in combination with its hardware.

[0130] An embodiment of the present invention further provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the method for detecting moisture content of concrete in the above embodiment are executed.

[0131] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices, equipment and methods can be implemented in other ways. The system embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0132] 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.

[0133] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0134] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium that is executable by a processor. Based on this understanding, the technical solution of the present invention can essentially or in other words, the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0135] Finally, it should be noted that the above-described embodiments are only specific implementations of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The protection scope of the present invention is not limited thereto. Although the present invention is described in detail with reference to the above-described embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above-described embodiments within the technical scope disclosed by the present invention, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A method for detecting moisture content of concrete, characterized in that: The method comprises: Slurry preparation step: after setting a plurality of groups of slurries with different water contents, obtaining slurry samples corresponding to the slurries, and calculating the water content of the slurries based on the slurry samples; Data determination step: injecting the slurry corresponding to the water content into a preset height position in a slurry tank, controlling the slurry tank to be in a stirring state and obtaining a constant current value of the slurry tank and a temperature value of the slurry; Model building step: obtaining the height value corresponding to the preset height position in the slurry tank, and building a moisture content detection model corresponding to the slurry based on the constant current value, the height value, the moisture content and the temperature value; Water content detection step: After the slurry to be tested is injected into the slurry tank, the real-time current value corresponding to the slurry tank and the real-time temperature value and real-time height value corresponding to the slurry to be tested are obtained, and after the real-time current value, the real-time temperature value and the real-time height value are input into the water content detection model, the real-time water content corresponding to the slurry to be tested output by the water content detection model is obtained.

2. The method for detecting moisture content of concrete according to claim 1, characterized in that: The data determination step comprises: Injecting the slurry corresponding to the water content into a first preset height position in the slurry tank, controlling the slurry tank to be in a stirring state and obtaining a first constant current value corresponding to the slurry tank; After controlling the slurry tank to release the slurry to a second preset height position in the slurry tank, obtaining a second constant current value corresponding to the slurry tank; The temperature value of the slurry is obtained in real time by using the thermocouple in the slurry tank.

3. The method for detecting moisture content of concrete according to claim 1, characterized in that: The model building step comprises: Determining the height value corresponding to the preset height position according to the distance between the preset height position and the bottom origin of the slurry tank; The moisture content detection model corresponding to the slurry is constructed with the moisture content as the target parameter, the height value and the constant current value as the variable parameters, and the temperature value as the weight parameter.

4. The method for detecting moisture content of concrete according to claim 3, characterized in that: The moisture content detection model corresponding to the slurry is constructed with the moisture content as a target parameter, the height value and the constant current value as variable parameters, and the temperature value as a weight parameter, including: constructing a first fitting function corresponding to the constant current value by using the height value and the water content, and obtaining coefficients corresponding to the height value and the water content in the first fitting function; The second fitting function corresponding to the slurry is constructed by using the water content as a target parameter, the height value and the constant current value as variable parameters, and using the coefficients; The weight parameter corresponding to the temperature value is obtained, and the moisture content detection model is constructed using the product result of the second fitting function and the weight parameter.

5. The method for detecting moisture content of concrete according to claim 4, characterized in that: Constructing a first fitting function corresponding to the constant current value by using the height value and the water content, and obtaining coefficients corresponding to the height value and the water content in the first fitting function, including: Taking the constant current value z as the target value, after performing binary fitting on the height value y and the water content x, the first fitting function is determined; wherein the first fitting function is z=e0+ax+by+cx 2 +dy 2 +fxy; Obtain a first coefficient e0, a second coefficient a, a third coefficient b, a fourth coefficient c, a fifth coefficient d and a sixth coefficient f corresponding to the height value and the moisture content in the first fitting function.

6. The method for detecting moisture content of concrete according to claim 5, characterized in that: The second fitting function corresponding to the slurry is constructed by using the water content as a target parameter, the height value and the constant current value as variable parameters, and using the coefficients, including: Obtaining the first coefficient e0, the second coefficient a, the third coefficient b, the fourth coefficient c, the fifth coefficient d and the sixth coefficient f corresponding to the first fitting function; The moisture content x is taken as the target parameter, the height value y and the constant current value z are taken as variable parameters, and the first coefficient e0, the second coefficient a, the third coefficient b, the fourth coefficient c, the fifth coefficient d and the sixth coefficient f are used to construct the second fitting function; wherein the second fitting function is: x=[(z-e0-by-dy 2 ) / c+(fy+a) 2 / 4c 2 ]^1 / 2-(fy+a) / 2c×100%.

7. The method for detecting moisture content of concrete according to claim 6, characterized in that: Acquiring the weight parameter corresponding to the temperature value, and constructing the moisture content detection model using the product result of the second fitting function and the weight parameter, including: Determine the weight parameter α corresponding to the temperature value; wherein, when the temperature value is greater than or equal to 60°C and less than 80°C, the weight parameter α=1.0; when the temperature value is greater than or equal to 40°C and less than 60°C, the weight parameter α=1.05; when the temperature value is greater than or equal to 20°C and less than 40°C, the weight parameter α=1.1; when the temperature value is less than 20°C, the weight parameter α=1.15; Using the product of the second fitting function and the weight parameter, a third fitting formula corresponding to the water content x, the height value y, the constant current value z, and the weight parameter α is obtained; The moisture content detection model is constructed based on the third fitting formula; wherein the third fitting formula is: x = α {[(z-e0-by-dy 2 ) / c+(fy+a) 2 / 4c 2 ]^1 / 2-(fy+a) / 2c}×100%.

8. The method for detecting moisture content of concrete according to claim 7, characterized in that: The water content detection step comprises: Obtain the third fitting formula in the moisture content detection model; wherein, in the third fitting formula, the first coefficient e0=0.084; the second coefficient a=0.076; the third coefficient b=11.5; the fourth coefficient c=-0.002; the fifth coefficient d=-0.00038; the sixth coefficient f=-0.038; After the slurry to be tested is injected into the slurry tank, a real-time current value z1 corresponding to the slurry tank and a real-time temperature value and a real-time height value y1 corresponding to the slurry to be tested are obtained, and a weight parameter α is determined using the real-time temperature value; The real-time moisture content x1 corresponding to the slurry to be tested is calculated using the third fitting formula; wherein x1=α{[(0.084+11.5y1-z1-0.00038y1 2 ) / 0.002+(0.076-0.038y1) 2 / 1.6E-5]^1 / 2+(0.076-0.038y1) / 0.004}×100%.

9. A concrete moisture content detection system, characterized in that: The system comprises: A slurry preparation module, used for setting a plurality of groups of slurries with different water contents, obtaining slurry samples corresponding to the slurries, and calculating the water content of the slurries based on the slurry samples; A data determination module, used for injecting the slurry corresponding to the water content into a preset height position in a slurry tank, controlling the slurry tank to be in a stirring state and obtaining a constant current value of the slurry tank and a temperature value of the slurry; A model building module, used for obtaining the height value corresponding to the preset height position in the slurry tank, and building a moisture content detection model corresponding to the slurry based on the constant current value, the height value, the moisture content and the temperature value; The water content detection module is used to obtain the real-time current value corresponding to the slurry tank and the real-time temperature value and real-time height value corresponding to the slurry to be tested after the slurry to be tested is injected into the slurry tank, and after inputting the real-time current value, the real-time temperature value and the real-time height value into the water content detection model, obtain the real-time water content corresponding to the slurry to be tested output by the water content detection model.

10. An electronic device, characterized in that: The method comprises a processor and a memory, wherein the memory stores computer executable instructions that can be executed by the processor, and the processor executes the computer executable instructions to implement the steps of the concrete moisture content detection method according to any one of claims 1 to 8.

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