JP2579821B2 - Surface water rate set value correction method for ready-mixed concrete production plant - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION [Industrial Application Field] The present invention relates to a surface water ratio in a ready-mixed concrete production plant for measuring and kneading various concrete materials such as gravel, sand, cement, water and an admixture to produce ready-mixed concrete. It relates to a correction method.

[Related Art] When producing ready-mixed concrete, it is important to maintain a slump value related to the quality of ready-mixed concrete according to the blend design. For this purpose, it is necessary to measure and knead various concrete materials according to the mixing design, but surface water adheres to sand, which is one of the concrete materials.When measuring the material, subtract the measured surface water amount of the sand. Water must be weighed. And since the slump value fluctuates greatly due to the fluctuation of the sand surface water rate, the staff in the test room regularly measures the surface water rate of the sand and corrects the set value of the sand surface water rate on the operation panel. In addition, I am working on grasping the surface water content of the ever-changing sand by installing a moisture meter.

[Problems to be Solved by the Invention] However, it is very burdensome for a laboratory staff to regularly measure the surface water content of sand. It is fully conceivable that the surface water content of the concrete has a variation, and in that case, the slump value of the ready-mixed concrete to be produced also varies, and a desired quality cannot be obtained. Therefore, it is necessary for the plant operator to constantly check the ready-mixed concrete kneaded in the mixer visually or with a slump meter to determine whether or not a desired product of the slimp has been completed, which is a heavy burden.

Also, it would be good if the surface moisture of the sand was measured by a moisture meter and this value could be fed back to automatically correct the set value of the surface moisture of the sand. Many moisture analyzers that do not have a moisture analyzer are actually installed for reference by the operator, and the operator can manually adjust the sand surface water rate set value on the operation panel with reference to this. There was also a drawback that the operation could only be performed by a skilled operator.

SUMMARY OF THE INVENTION In view of the foregoing, it is an object of the present invention to automatically correct a sand surface water rate set value by applying fuzzy inference which can make use of the experience of a skilled operator.

[Means for Solving the Problems] In order to achieve the above object, the present invention detects a load power value of a mixer driving motor and adjusts the mixing power with respect to a reference load power value of the Kimisa driving motor set for each combination. Fuzzy inference is performed based on the deviation of the load power value and the change of the sand surface water rate setting value, which is the calculation factor of the measuring water, and the correction amount of the sand surface water rate setting value is estimated to obtain the appropriate sand surface water. The correction of the rate setting value is performed.

Also, at the start of ready-mixed concrete production, a fuzzy inference is made based on the previous and current shipping time intervals and the sand surface water rate set value, which is a calculation factor for metered water, to estimate the correction amount of the sand surface water rate set value. After correcting the sand surface water rate by the correction amount and resetting the correction amount of the sand surface water rate set value, the skill starts, and thereafter, the load power value of the mixer driving motor mounted on the mixer is detected. The fuzzy inference is performed based on the deviation amount of the load power value at the time of kneading from the reference load power value of the mixer driving motor set for each composition and the sand surface water rate set value which is a calculation factor of the measuring water, The correction amount of the surface water rate set value is estimated by estimating the correction amount of the surface water rate set value.

[Operation] In the method for correcting the set value of surface water rate in the ready-mixed concrete production plant according to the present invention, the load power value of the mixer driving motor at the time of kneading is detected, and the reference load power value set for each mixture is determined. And the amount of change is calculated from the previous and current sand surface water rate set values stored in the storage unit. The deviation amount of the load power value and the change amount of the sand surface water rate set value are set as antecedents of the fuzzy inference rule, and the fuzzy inference is performed based on the membership function of the fuzzy set and the inference rule set in advance. Then, the correction amount of the sand surface water rate set value as the consequent part is estimated, and the sand surface water rate set value is corrected by the correction amount.

In addition, if a long time has elapsed since the previous shipment at the start of the ready-mixed concrete production, the surface water content of the sand near the discharge part of the sand storage bin has increased, so the elapsed time from the previous shipment time was The shipping time interval and the set value of the sand surface water rate are used as the antecedents of the fuzzy inference rule, and the sand functioning as the operation factor of the measuring water is calculated based on the membership function of the fuzzy set and the inference rule set in advance. The correction amount of the surface water rate set value is estimated, and the sand surface water rate set value is corrected by the correction amount.

By applying such fuzzy inference, it becomes possible to automate a driving operation empirically performed by a skilled operator.

Example An example of the present invention will be described below with reference to the drawings.

Reference numeral 1 denotes a mixer for kneading various types of concrete materials.
Is rotated at a constant speed. Above the mixer 1, various measuring tanks (not shown) for gravel, sand, cement, etc., and a water measuring tank 5 supported by a weight detector 4 are provided.
A water storage tank 6 is disposed above the water measuring tank 5, and a predetermined amount of water discharged by opening and closing control of a water measuring valve 7 of the water measuring tank 6 is measured by the water measuring tank 5 to obtain measured water. It is put into mixer 1.

A load power detector 8 for detecting the load power (or load current) of the motor is connected to the mixer driving motor 2, and a signal detected by the load power detector 8 is transmitted to a surface water rate set value correction device 9. I have to input. The surface water rate set value correction device 9 includes a fuzzy control unit 10 for performing fuzzy inference according to a fuzzy set membership function and a fuzzy inference rule described later, an operation unit 11 for calculating various signals input thereto, and a fuzzy inference rule for input fuzzy inference rules. It comprises a storage unit 12 for storing various data as antecedents and data input for inference. The surface water rate set value correction device 9 is an operation panel.
When the sand surface water rate set value corrected from the surface water rate set value correction device 9 is input to the operation panel 13, the measured water amount is calculated from the mix of the concrete, and the water measurement is controlled. .

Next, a method of fuzzy inferring the correction amount of the sand surface water rate set value based on the load power value of the mixer driving motor 2 detected by the load power detector 8 and the change amount of the sand surface water rate set value will be described.

When the production of ready-mixed concrete is started by operating the operation panel 13, the surface water rate set value correcting device 9 receives the mixing number, the kneading capacity and the sand surface water rate set value together with the material measurement start signal from the operation panel 13, and Store in 12. Subsequently, when a kneading start signal is received from the operation panel 13, the load power detector 4 detects the load power value of the mixer driving motor 2 at a constant cycle and stores it in the storage unit 12. Further, when a kneading end signal is received from the operation panel 13, the detection of the load power value of the mixer driving motor 2 is stopped, and a plurality of load power values at the time of kneading out of the load power values stored in the storage unit 12 are calculated. Take out to 11 and find the average. Then, the reference load power value corresponding to the blending number received from the operation panel 13 is taken out from the reference load power value at the time of kneading for each blend set and stored in the storage unit 12 in advance to the calculating unit 12, and according to the kneading capacity. The calculated reference load power value is calculated and compared with the average value of the load power values at the time of kneading to calculate a deviation amount ΔP (KW) of the load power value. In addition, the sand surface water rate set value set at the time of the previous kneading is compared with the sand surface water rate set value set at the time of the current kneading, and the change amount of the sand surface water rate set value St is calculated.
(%) Is calculated. The deviation amount ΔP of the load power value calculated by the arithmetic unit 12 and the change amount of the sand surface water rate set value are input to the fuzzy control unit 11.

The fuzzy controller 11 performs fuzzy inference based on a membership function of a fuzzy set and an inference rule in order to estimate an appropriate correction amount W (%) of a sand surface water rate set value from an input signal. FIG. 2 shows the deviation amount of the load power value.
It is a membership function for qualitatively evaluating the magnitude of P. ΔP (i) (i = 1 to 7) in the figure is a constant that defines the form of the membership function and is determined as appropriate.
PB, PM, PS, ZR, NS, NM, NB are deviations of the load power value △ P
Are the names given to the membership functions for qualitatively evaluating the size of, and have the following meanings, respectively.

PB: Positive Big PM: Positive Medium PS: Positive Small ZR: Zero NS: Negative Small NM: Negative Medium NB: Negative Big The vertical axis in the figure is the membership value. Using this membership value, the deviation ΔP of the load power value is qualitatively evaluated.

FIG. 3 is a membership function for qualitatively evaluating the magnitude of the change amount St of the sand surface water rate set value. St in the figure
(I) (i = 1 to 7) are constants that define the form of the membership function and are determined as appropriate. PB, PM, PS, ZR, NS,
NM and NB are names given to the membership function for qualitatively evaluating the magnitude of the change amount St of the sand surface water rate set value.

FIG. 4 is an inference rule for qualitatively determining the correction amount W of the sand surface water rate set value from the qualitative relationship between the deviation amount ΔP of the load power value and the change amount St of the sand surface water rate set value. is there. For example, the inference rule in the upper left is IF (△ P is PB and St i
sPB) THEN W is NB.

This is because if the load power of the mixer at the time of kneading is very large with respect to the reference load power and the amount of change in the sand surface water rate set value is very large on the positive side (the surface water If the rate is much higher than the surface water rate set at the time of the previous kneading) (the antecedent part), "Let the amount of correction of the sand surface water rate set value be extremely large on the negative side" (the consequent part) Shows rules.

FIG. 5 is a membership function for converting a correction amount of the qualitatively determined sand surface water rate set value into a quantitative value. In the figure, W (i) (i = 1 to 7) is a constant that defines the form of the membership function, is a correction amount for the sand surface water rate set value, and is appropriately determined. PB, PM, PS, ZR, NS, N
M and NB are names given to the membership function for qualitatively evaluating the magnitude of the correction amount of the sand surface water rate set value, and correspond to the names used in FIG. The vertical axis in the figure is the membership value. Then, the correction amount of the sand surface water rate set value is qualitatively determined from the applied inference rules. When the correction amount of the sand surface water rate setting value is defined by a plurality of membership functions based on a plurality of inference rules, a weighted average value corresponding to each membership value is used as an actual correction amount. The correction amount of the sand surface water rate set value obtained by the fuzzy inference in this manner is added to or subtracted from the current sand surface water rate set value, and transmitted to the operation panel 13 as the next sand surface water rate set value. The operation panel controls the water measurement based on the set value of the water content of the sand surface.

Further, a method of fuzzy inferring the correction amount of the sand surface water rate set value based on the shipping time interval and the sand surface water rate at the time of starting the production of ready-mixed concrete will be described.

If a considerable time has elapsed from the previous shipping time to the current shipping time, the sand surface water rate set value is corrected based on the shipping time interval and the sand surface water rate set value. When the production of ready-mixed concrete is started by operating the panel 13, the sand surface water rate set value correcting device 9 receives a measurement start signal of each material from the operation panel 13. Then, the time at that point is stored in the storage unit 12, and the received sand surface water rate set value S (%) is stored in the storage unit 12. Then, the arithmetic unit 11 compares the time of the current weighing with the time of the previous weighing, and calculates a shipping time interval Δt (minute). The shipping time interval Δt and the sand surface water rate set value S are used in the fuzzy control unit.
10, the fuzzy control unit 10 sets the shipping time interval
It is determined whether or not t exceeds a predetermined time (for example, 20 minutes). If it does, the membership function of the fuzzy set is used to determine the correction amount S ′ (%) of the sand surface water rate set value. And fuzzy inference based on the inference rules.

FIG. 6 is a membership function for qualitatively evaluating the size of the shipping time interval Δt. Δt in the figure
(I) (i = 1 to 7) are constants that define the form of the membership function and are determined as appropriate. B7, B6, B5, B4, B3,
B2 and B1 are symbols given to the membership function for qualitatively evaluating the size of the shipping time interval Δt, and have no particular meaning unlike the above-mentioned names. The vertical axis in the figure is the membership value. Using this membership function, the size of the shipping time interval Δt is qualitatively evaluated.

FIG. 7 is a membership function for qualitatively evaluating the magnitude of the sand surface water rate set value S, and B7, B6, B5,
B4, B3, B2, and B1 are symbols given to the membership function to qualitatively evaluate the magnitude of the sand surface water rate set value S. FIG. 8 shows the shipping time interval Δt and the sand surface water rate set value S.
From the qualitative relationship of the magnitude of the sand surface water content set value S '
Is an inference rule for determining qualitatively. The way of reading the rules is the same as that described with reference to FIG. For example,
One of the inference rules is IF (IFt is B7 and
S is B7 THEN S 'is PB). This is because "if the shipping time interval is very long and the sand surface water rate setting is a very high value" (the antecedent),
The rule is that "the amount of correction of the sand surface water rate set value should be greatly increased on the positive side" (consequent part).

This is because if the sand stored in the sand storage bin (not shown) is left without being discharged for a long time, the surface water of the sand will settle, and the surface water content of the sand near the bottom of the storage bin will increase, and Since this tendency is stronger as the surface water content of the sand increases, the sand surface water content set value is corrected based on the shipping time interval and the sand surface water content set value.

FIG. 9 is a membership function for converting the correction amount of the qualitatively determined sand surface water rate set value into a quantitative value. In the figure, S '(i) (i = 1 to 7) is a constant that defines the form of the membership function, is a correction amount from the previously set sand surface water rate set value, and is appropriately determined. PB, PM, P
S, ZR, NS, NM, NB are the names given to the membership function to qualitatively represent the magnitude of the correction of the sand surface water rate set value, and correspond to the names used in FIG. doing. The meaning is as described above. The vertical axis in the figure is the membership value. The applied inference rules determine qualitatively which membership function the sand surface water rate set value belongs to. When the correction amount of the sand surface water rate setting value is specified by multiple membership functions based on multiple inference rules, the weighted average value according to each membership value is used as the correction amount of the actual sand surface water rate setting value . The correction amount of the sand surface water rate set value for which the fuzzy inference has been performed is added to or subtracted from the previous sand surface water rate set value, and transmitted to the operation panel 13 as the current sand surface water rate set value. The operation panel 13 controls the water measurement in consideration of the sand surface water rate set value.

The fuzzy inference based on the shipping time interval and the sand surface water rate set value is applied only when the shipping time interval exceeds a preset time (for example, 20 minutes or more). The set value of the sand surface water rate is corrected based on the deviation amount of the value and the change rate of the set value of the sand surface water rate.

Although the membership functions used in the present embodiment are all triangular, the present invention is not necessarily limited to this shape, and various curves are adopted based on the characteristics of the variation of the sand surface water rate and the operator's experience so far. Does not change the essence of the present invention. Also, not only the form of the membership function,
The essence of the present invention does not change even if the number is set arbitrarily. In the embodiment, the operation panel and the surface water rate set value correction device are separated from each other, but the operation panel may be integrated with the surface water rate set value correction device.

[Effect of the Invention] As described above, according to the surface water rate set value correction method in the ready-mixed concrete production plant according to the present invention, the deviation amount of the mixer load power value and the change amount of the sand surface water rate set value at the time of kneading. The fuzzy inference is performed based on the size of the sand surface water content, and the correction amount of the sand surface water content set value is determined.Therefore, the correction of the sand surface water content set value that applies the fuzzy Can be automated.

Further, at the start of the production of ready-mixed concrete, after correcting the sand surface water content set value by fuzzy inference from the shipping time interval and the size of the sand surface water content set value, the correction of the sand surface water content set value by the fuzzy inference is performed. I decided to do it,
Even if the surface water rate of the sand in the lower part of the sand storage bin changes during the shipping time interval for a considerable time, the surface water rate correction that follows this can be automatically performed utilizing the experience of skilled operators, It is possible to always produce ready-mixed concrete of stable quality.

[Brief description of the drawings]

FIG. 1 is a diagram for explaining an embodiment of the method of the present invention, FIG. 2 is a diagram showing a membership function for evaluating a deviation amount of a load power value of a mixer, and FIG. 3 is a change amount of a sand surface water rate set value. FIG. 4 is a diagram showing an example of a rule for estimating a correction amount of a sand surface water rate set value, and FIG. 5 is a diagram showing a membership function for a correction amount of a sand surface water rate set value. , Sixth
The figure shows a membership function for shipping time interval evaluation, FIG. 7 shows a membership function for evaluating the magnitude of the sand surface water rate set value, and FIG. 8 shows an example of a correction amount prediction rule for the sand surface water rate set value. FIG. 9 shows a membership function for the correction amount of the sand surface water set value. DESCRIPTION OF SYMBOLS 1 ... Mixer, 3 ... Mixer drive motor, 5 ... Water measuring tank, 6 ... Reservoir, 8 ... Load power detector, 9 ... Surface water rate set value correction device, 13 ... Operation panel

Claims (2)

(57) [Claims] 1. A load power value of a mixer driving motor provided in a mixer for kneading various concrete materials is detected, and a load power value at the time of kneading with respect to a reference load power value of the mixer driving motor installed for each compound is determined. The deviation amount and the change amount of the sand surface water rate setting value which is the calculation factor of the measuring water are defined as the antecedent part of the fuzzy inference rule, and the correction amount of the sand surface water rate setting value is defined as the consequent part of the fuzzy inference rule, Fuzzy inference is performed based on the load power value of the mixer driving motor detected at the time of kneading, and the change amount of the sand surface water rate set value calculated from the sand surface water rate set at the time of this and the previous kneading. A method for correcting a set value of a surface water rate in a ready-mixed concrete production plant, wherein a correction amount of a set value of a surface water rate is estimated, and the sand surface water rate is corrected and reset based on the corrected amount. At the start of production of ready-mixed concrete, the shipping time interval and the sand surface water rate are assumed to be the antecedents of the fuzzy inference rule, and the correction amount of the sand surface water rate set value, which is an operation factor of the measuring water, is determined by the fuzzy inference rule. Fuzzy inference based on the time elapsed from the previous shipment to the current shipment and the sand surface water rate set value, estimate the correction amount of the sand surface water rate set value, and After correcting the sand surface water rate and resetting it, kneading starts.After that, the load power value of the mixer drive motor installed in the mixer is detected, and the reference load power value of the mixer drive motor set for each compounding The amount of deviation of the load power value at the time of kneading and the amount of change in the sand surface water rate set value, which is the calculation factor of the measured water, are the antecedents of the fuzzy inference rule, and the correction amount of the sand surface water rate set value is Consequent part of fuzzy inference rules The fuzzy inference is performed based on the load power value of the mixer driving motor detected at the time and the change amount of the sand surface water rate set value calculated from the sand surface water rate set at the current and previous kneading, and the sand surface water A method for correcting a surface water rate set value in a ready-mixed concrete manufacturing plant, wherein a correction amount of a rate set value is estimated, and the sand surface water rate is corrected and reset based on the corrected amount.