JP4281968B2 - SLUMP VALUE CALCULATION DEVICE, SLUMP VALUE CALCULATION METHOD, PROGRAM USING COMPUTER TO EXECUTE SLUMP VALUE CALCULATION METHOD, AND RECORDING MEDIUM CONTAINING THE PROGRAM - Google Patents

Description

  The present invention relates to a slump value calculating device, a slump value calculating method, a program capable of causing a computer to execute the slump value calculating method, and a recording medium on which the program is recorded. The present invention relates to a slump value calculation device and the like for calculating a slump value of concrete being kneaded from the amount of electric power applied to a mixer.

  Concrete has different softness and fluidity mainly depending on whether the moisture content is high or low. One of the tests showing the degree of softness and fluidity is a test method using a slump value. The slump value is the difference between the height when the cone is pulled out and the height before being pulled out with respect to the concrete packed in the cone having an inner diameter of the upper surface of 10 cm, an inner diameter of the lower surface of 20 cm, and a height of 30 cm. When the slump value is large, the concrete is soft concrete.

  Conventionally, as a method of measuring the slump value of concrete in the concrete kneading process, the method of actually measuring the slump value visually, the power consumption of the mixer blade to be kneaded and the rotational torque of the torque meter attached to the rotating shaft A method of measuring and converting to a slump value is known (see Patent Document 1).

  Moreover, in the technique shown in Patent Document 2, the slump value is obtained by the following method under the condition that the mixing ratio (hereinafter referred to as the mixing number) and the kneading amount of the ready-mixed concrete are the same and after a certain point in the kneading step. To be estimated.

  The deviation amount (SML) from the unloaded state of the load value of the mixer drive motor used for the mixing of the ready-mixed concrete and the change amount (ΔSML) per unit time of the deviation amount (SML) are measured, and this measurement is performed. After the measured ΔSML reaches the maximum value, the time series data of the deviation amount (SMLX) from the unloaded state of the load value of the known mixer drive motor with the previously measured slump value (SLX) and the deviation amount ( The SMLX value (MLX) corresponding to ΔSMLX that coincides with the measured ΔSML is obtained from the time series data of the amount of change (ΔSMLX) per unit time of SMLX), and the slump value (SLX) is the known MLX. This is a technique for estimating the slump value (SL) of ready-mixed concrete during kneading by comparing with measured SML.

JP-A-1-113661 Japanese Patent No. 3110590

  However, in the method of actually measuring the slump value visually, it is possible for an expert to estimate the slump value with high accuracy, but it is difficult for the other person to estimate the slump value accurately.

  Moreover, in the technique shown in Patent Document 1, the amount of raw material (kneading amount) during kneading and the amount of power consumption and the torque value fluctuate due to the difference in the moisture content of the raw material due to the humidity of the day. There is a problem that it cannot be estimated.

  Furthermore, in the technique shown in Patent Document 2, since accurate estimation can be performed only after ΔSML reaches the maximum (inflection point), an accurate slump value can be obtained unless the measurement is about to end. Can not. In addition, when the blending number and the kneading amount are the same, the slump value can be estimated from data measured in advance, but when the kneading amount is different, the slump value cannot be applied.

  Therefore, the present invention recorded a slump calculation device, a slump calculation method, a slump calculation method by which a computer can execute a slump calculation method, and a program for calculating the slump value of concrete at an early stage in the kneading process. An object is to provide a recording medium.

The invention according to claim 1 is a slump value calculating device for calculating a slump value of the concrete being kneaded from a kneading time in the concrete kneading step and a load value applied to the kneading mixer in the kneading time, the kneading time and First computing means for determining a first function indicating a mutual relationship between measurement data obtained as the load value, and calculating a calculated load value at a calculation kneading time at the end of measurement derived from the first function And calculating the final slump value by substituting the calculated load value into the second function indicating the interrelation determined based on the data of the slump value and the load value when the blending ratio of concrete obtained in advance is the same. and a second arithmetic means, the first computing means approximates a cubic function represents a function showing the relationship between X representing the Y and the kneading time representing the load value in the following formula The second calculation means determines a function indicating the relationship between S representing the slump value and Y representing the load value by approximating with a quadratic function represented by the following formula, and from the kneading time for calculation: When the previous kneading time X1 and the load value Y1 are obtained as measurement data, the final slump value can be predicted by using the first function and the second function .

The invention according to claim 2 is the slump value calculation device according to claim 1 , further comprising data management means for storing coefficients of the expressions of the first function and the second function as data.

The invention according to claim 3 is a slump value calculation method for calculating a slump value of the concrete being kneaded from a kneading time in the concrete kneading step and a load value applied to the kneading mixer in the kneading time, the first computing means Determines a first function indicating a correlation between the kneading time and the measurement data obtained as the load value, and calculates a calculated load value at the calculation kneading time at the end of measurement derived from the first function. The calculated load on the second function indicating the interrelation determined based on the slump value and the load value data when the first calculation step and the second calculation means have the same blending ratio of concrete obtained in advance. look including a second calculation step of calculating a final slump value by substituting a value, the first calculation step of X representing a and Y representing the load value the kneading time A function indicating the relationship is approximated and determined by a cubic function represented by the following equation, and the second calculation step is a quadratic function represented by the following equation representing a relationship between S representing the slump value and Y representing the load value. When the kneading time X1 and the load value Y1 prior to the calculation kneading time are obtained as measurement data, the first function and the second function are used. Thus, the final slump value can be predicted .

The invention according to claim 4 is the slump value calculation method according to claim 3 , further comprising a data management step of storing coefficients of the expressions of the first function and the second function as data.

The invention according to claim 5 is a program capable of causing a computer to execute the slump value calculation method according to claim 3 or 4 .

The invention according to claim 6 is a recording medium on which the program according to claim 5 can be executed by a computer.

According to the present invention, by using a quadratic function by approximation derived for the relationship between the load value and the slump value in addition to the cubic function by approximation derived for the relationship between the kneading time and the load value, Since the slump value can be calculated without looking at the eye, the slump value can be easily measured even if it is not an expert.

  Furthermore, according to the present invention, since the final slump value can be calculated at an early stage of measurement, correction or the like can be performed with a margin.

  In addition, each measurement data is not stored as every value for each measurement, but is stored and managed as a coefficient in the formula, so the amount of data can be reduced and a large amount of data can be stored. A slump value can be calculated with high accuracy based on the accumulated data.

  Embodiments of the present invention will be described below.

  FIG. 1 is a block diagram showing an example of the configuration of the slump value calculation apparatus of the present invention.

  The slump value calculation apparatus 100 includes a processing unit 110 and a data unit 120. The processing unit 110 includes an input processing unit 112, a calculation unit 115, a prediction unit 117, and an output processing unit 118. The calculation unit 115 includes a first calculation unit 114 and a second calculation unit 116. The data management unit 120 includes an accumulated data unit 122.

  An outline of an actual slump value measurement process will be described. Measurement information 150 such as a current value based on the power consumption of the mixer during kneading measured by the measuring unit 130, a kneading time, a blending number at the time of measurement, and a kneading amount is input to the slump value calculation device 100. An arithmetic process is performed based on the input data, a slump value is calculated, and the value and waveform are displayed on the display unit 160. Next, an outline of the slump value prediction process will be described. First, measurement data is input to the slump value calculation apparatus 100. Prediction data is determined by interpolation processing from the measurement data and past measurement data stored in the accumulated data unit 122. Based on the prediction data, a predicted slump value is calculated by the same method as the calculation unit 115, and the value and waveform are displayed on the display unit 160.

  Next, the actual slump value measurement process of the slump value calculation apparatus 100 of the present invention will be described in detail.

  FIG. 2 is a flowchart showing an example of processing of the slump value calculation apparatus of the present invention.

  First, measurement processing is performed in step ST201. In this measurement process, the measurement unit 130 in FIG. 1 kneads concrete with a mixer. The power detection unit 140 detects power consumption from the mixer during kneading. The conversion unit 160 converts the power detected by the power detection unit 140 into a current value. The converted current value is input to the input processing unit 112 of the slump value calculating apparatus 100. At this time, the kneading time is also input. Further, measurement information 150 such as a blending number and a kneading amount at the time of measurement is also input to the input processing unit 112.

  In step ST202, the first calculation unit 114 of the calculation unit 115 determines the first function based on the input information.

  Here, the determination process of the first function will be described in detail. The inventor has found that the function indicating the correlation between the kneading time and the current value can be approximated by a cubic function represented by the following formula (1).

In the above formula (1), X is the kneading time and Y is the current value. The coefficients (A ₁ , B ₁ , C ₁ , D ₁₎ are calculated by approximating the above equation (1) from the measurement data by the least square method. FIG. 3 is a diagram schematically showing a waveform of a function approximated based on the equation (1) with respect to measurement data. The horizontal axis represents the kneading time X, and the vertical axis represents the current value Y. A waveform 300 is a waveform obtained by approximating Equation (1) based on measurement data. Waveforms 300a, 300b, and 300c indicated by broken lines are waveforms indicated by past data having the same blending number and different kneading amounts.

  Actually, even in the same mixing number and the same kneading amount, different waveforms are often shown due to external factors such as humidity and moisture content. For example, when the measurement is performed with the same blending number as the data indicated by the waveform 300a and the same kneading amount, it does not necessarily match the waveform 300a. However, for convenience of explanation, waveforms with the same blending number and the same kneading amount are displayed as the same.

Returning to FIG. 2, in step ST203, a current value calculation process is performed. Calculating a current value Y _n at a given kneading time X _n from the graph shown in FIG. The predetermined kneading time _Xn is the time at which the kneading is completed, and is the timing at which the final slump value is determined. The current value Y _n calculated here is used when performing interpolation processing with a second function determined later.

  Next, in step ST <b> 204, past accumulated data is extracted from the accumulated data unit 122 by the second calculation unit 116 of FIG. 1. The extracted data is the final slump value and the current value data at the final slump value of the same formulation number as the current measurement conditions. In step ST205, the second function is determined based on the final slump value and current value data extracted in step ST204.

  Here, the determination process of the second function will be described in detail. The inventor has found that a function indicating the interrelationship between the final slump value and the current value in the final slump value can be approximated by a quadratic function represented by the following equation (2).

In the above formula (2), Y is a current value and S is a slump value. The coefficients (A ₂ , B ₂ , C ₂₎ are calculated by approximating the above equation (2) from the extracted past data by the least square method. FIG. 4 is a diagram schematically showing a curve of a function approximated based on Expression (2) with respect to past final slump value and current value data. The horizontal axis represents the current value Y, and the vertical axis represents the slump value S. A curve 400 is a curve obtained by approximating equation (2) based on a plurality of final slump values and current value data (S ₁ , S ₂ , S ₃ in FIG. ₃ ) measured in the past. A curve 400a indicated by a broken line is a curve obtained from data measured in the past, and is different from the curve 400 in the formulation number.

Returning to FIG. 2, at step ST 206, to interpolate by substituting the electric current value _{Y n} calculated in step ST203 for a function determined in step ST205, calculates the final slump value _{S n.} In step ST207, the final slump value and the measurement graph are displayed on the display unit 160 by the output processing unit 118 in FIG.

  Next, the slump value prediction process of the slump value calculation apparatus 100 of the present invention will be described in detail.

  First, the prediction unit 117 in FIG. 1 has the same measurement condition and formulation number as the current measurement condition stored in the accumulated data unit 122 and at least one load value that is measurement data input to the input processing unit 112. Interpolation processing is performed using certain past measurement data. By the interpolation processing, predicted data of the current value at a predetermined kneading time that has not been measured is calculated. Next, it is obtained by the cubic function least square method shown in Expression (1) based on the obtained prediction data. The subsequent processing is the same as the actual slump value measurement processing described above.

If measurement data of the current value Y ₁ at the time of the kneading time X ₁ shown in FIG. 3 is obtained by this prediction processing, for example, the subsequent measurement data can be predicted, and the above-described formula (1), By using the function of Expression (2), it is possible to predict the final slump value.

  The interpolation process is performed using the amount of change in load value at a predetermined kneading time calculated from past measurement data, the difference or ratio of the load value at a predetermined kneading time obtained from past data, and the like. This is done by the square method.

Next, data management according to the present invention will be described. In the present invention, the data management unit 120 in FIG. 1 holds past measurement data as coefficients of a function equation. For example, the data of the waveform 300a in FIG. 3 holds coefficients A ₁ , B ₁ , C ₁ , and D ₁ as measurement data, and does not hold the kneading time and current values that are actual measurement data. Absent. Accordingly, the amount of data can be reduced, and the past slump value can be calculated with high accuracy by sufficiently storing past data.

  Note that the slump value calculation apparatus of the present invention may be provided with a correcting means that can correct the slump value during the kneading step. In that case, for example, a water correction unit may be provided so that the moisture correction value can be corrected.

  In the embodiment of the present invention, the current value of the mixer is used as measurement data. However, any data may be used as long as it has a correlation with the kneading time and the slump value.

  Further, in FIG. 3, each of the waveforms 300a, 300b, and 300c is shown as a waveform having the same blending number and different kneading amount, but each may be regarded as a waveform of data having the same blending number and the same kneading amount. In that case, a plurality of curves in FIG. 4 can be displayed for each blending number and kneading amount.

  Furthermore, the method of approximating the functions shown in the above formulas (1) and (2) and the method of interpolation processing when calculating the predicted slump value are not limited to the least squares method. Lagrange interpolation, Newton interpolation, spline interpolation, or a combination thereof may be used.

It is the block diagram which showed an example of the structure of the slump value calculation apparatus of this invention. It is the flowchart which showed an example of the process of the slump value calculation apparatus of this invention. It is the figure which showed typically the waveform of the function approximated with respect to measurement data based on Formula (1). It is the figure which showed typically the waveform of the function approximated based on Formula (2) with respect to the data of the past last slump value and electric current value.

100 slump value calculation device 114 first calculation unit 116 second calculation unit

Claims (6)

A slump value calculation device for calculating a slump value of the concrete being kneaded from a kneading time in the concrete kneading step and a load value applied to the kneading mixer in the kneading time,
A first function indicating a correlation between the kneading time and the measurement data obtained as the load value is determined, and a calculated load value at the calculation kneading time at the end of measurement derived from the first function is calculated. First computing means;
A second slump value is calculated by substituting the calculated load value into a second function indicating a correlation determined based on the slump value and the load value data in the case where the blending ratio of concrete obtained in advance is the same. An arithmetic means,
The first calculating means approximates and determines a function indicating the relationship between Y representing the load value and X representing the kneading time by a cubic function represented by the following equation, and the second calculating means represents the slump value. A function indicating the relationship between S and Y representing the load value is approximated and determined by a quadratic function represented by the following equation:
When the kneading time X1 before the calculation kneading time and the load value Y1 are obtained as measurement data, the final slump value can be predicted by using the first function and the second function. A slump value calculation device as a feature .

Wherein comprising a first function and a data management means for storing the coefficients of the equation as the data of the second function, the slump value calculating apparatus according to claim 1. A slump value calculation method for calculating a slump value of the concrete being kneaded from a kneading time in the concrete kneading step and a load value applied to the kneading mixer in the kneading time,
The first calculation means determines a first function indicating a correlation between the kneading time and the measurement data obtained as the load value, and calculates at the calculation kneading time at the end of the measurement derived from the first function. A first calculation step for calculating a load value;
The second calculating means substitutes the calculated load value into a second function indicating the interrelation determined based on the slump value and the load value data in the case where the concrete blending ratio obtained in advance is the same. look including a second calculation step of calculating a value,
In the first calculation step, a function indicating the relationship between Y representing the load value and X representing the kneading time is approximated by a cubic function represented by the following equation, and the second calculation step represents the slump value. A function indicating the relationship between S and Y representing the load value is approximated and determined by a quadratic function represented by the following equation:
When the kneading time X1 before the calculation kneading time and the load value Y1 are obtained as measurement data, the final slump value can be predicted by using the first function and the second function. A method for calculating a slump value.

The slump value calculation method according to claim 3 , further comprising a data management step of storing, as data, coefficients of expressions of the first function and the second function . The program which can make a computer perform the slump value calculation method of Claim 3 or 4 . 6. A recording medium on which the computer according to claim 5 is recorded.

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