JP2004093329A - Vibration detection device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To promote mass-production and reduce cost by unitizing a detection means for detecting and analyzing the vibration of each part of a device. <P>SOLUTION: This vibration detection device comprises a vibration detection part installed at the vibrating position of the device and a calculation part calculating the state of the vibration by receiving analog signals from the vibration detection part and applying signal classification treatment or high-speed Fourier transformation treatment thereto. The calculation part comprises a signal receiving/transmitting means capable of receiving/transmitting information on the classification of the type or detected items of the device between the calculation part and the control part of the device. The results of the calculation processed by the calculation part are outputted to the control part for each type or for each detected item. <P>COPYRIGHT: (C)2004,JPO

Description

[0001]
TECHNICAL FIELD OF THE INVENTION
The present invention relates to a vibration detection device capable of detecting various vibrations accompanying operation of the apparatus and detecting the operation state and abnormality of each unit, and can be used for agricultural machines, various industrial machines, facilities, and the like.
[0002]
[Prior art]
Conventionally, as shown in Japanese Patent Publication No. 6-64015 and Japanese Utility Model Publication No. 7-12332, a vibration detecting device incorporating a piezoelectric element is mounted on a predetermined location such as a grain dryer or a combine, and the detection result is obtained. There is a configuration in which the state of the grain is detected based on the Particularly, in the former publication, when mechanical energy is applied to a piezoelectric element, a charge is generated, the charge is output as a voltage, and the voltage is converted into a DC voltage by a rectifier circuit or an integration circuit and detected.
[0003]
[Problems to be solved by the invention]
However, the above configuration is a combination of a detection unit for directly detecting mechanical energy and a rectification / integration and control circuit, and is a configuration in which the detection result is analyzed to determine a grain state. Therefore, improvement in control performance could not be expected. Therefore, it is conceivable to configure the detection device by using a fast Fourier transform process. However, even if the detection device is used for, for example, a grain dryer, it becomes a special configuration specific to the grain dryer, and thus various types of machinery having different configurations are used. However, there is a disadvantage that one unit cannot be shared, and the cost cannot be reduced due to lack of versatility. For this reason, even if it is known that the configuration of the detection device based on the vibration information can improve the essential control performance, the control performance is inferior to the configuration using the fast Fourier transform processing for cost reasons. In some cases, control means has to be used, and there has been a fact that cost factors are hindering technological progress.
[0004]
[Means for Solving the Problems]
In view of the above, the present invention intends to generalize a detection unit and a calculation unit including a piezoelectric element or the like, and has taken the following technical means.
That is, a vibration detection unit attached to a vibration portion of the device, and a calculation unit that receives an analog signal from the vibration detection unit and performs signal classification processing or fast Fourier transform processing to calculate a vibration situation, The apparatus further comprises transmitting / receiving means capable of receiving / transmitting information for classifying a model or a detection item of the device with the control unit of the device, and the calculation result processed by the calculation unit is classified by model or detection item. The configuration of a vibration detection device configured to output to the control unit is provided.
[0005]
When the above-described vibration detection unit 45 is configured, an analysis location by various types of vibration detection can be covered by the vibration detection unit 45 having a common specification.
[0006]
【The invention's effect】
Conventionally, since the raw data from the vibration detection unit is analyzed by waveform analysis and evaluated, a desired control performance may not be obtained. On the other hand, when an arithmetic technique such as fast Fourier transform processing is applied to an arithmetic control unit of a computer, it is rarely performed because of high cost. Further, even if it is configured to be used for multiple models, in a configuration in which all the assumed model data is calculated, the load on the control unit becomes excessive and impractical. With this configuration, it can be realized only by performing the calculation of only the designated model, and the analysis location by various vibration detection can be covered by the vibration detection unit 45 having the common specification. In other words, the present invention can be applied to any agricultural machine other than the unmanned rice mill, such as an agricultural tractor, a combine, a rice transplanter, a dryer, and a huller. Mass production is promoted and cost can be reduced. This spread of the cost reduction effect enables analysis or control based on the fast Fourier transform of the vibration information even in the analysis part where the use has been conventionally postponed, and more advanced control can be realized.
[0007]
BEST MODE FOR CARRYING OUT THE INVENTION
The case where the present invention is applied to an unmanned rice milling machine that performs rice milling work by inputting grains and charges will be described.
FIG. 1 shows an operation process of a rice milling facility. The inside is divided into an operation room 2 and a machine room 3 by a partition wall 1. On the operation room 2 side, a grain bag holder 4, an operation panel 5, a white rice tank 6 and the like are provided, and an inlet of a raw material introduction tank 7 is faced. , A stone removing device 9, a foreign material removing device 10, a rice mill elevating machine 11, a rice mill 12, a rice bran treating section 13, an opening / closing door 14, and the like.
[0008]
At the lower part of the raw material charging tank 7, a rotary valve 15 for feeding out the grains charged in the raw material charging tank 7 is provided. The delivery side of the rotary valve 15 is communicated with the hopper 8a of the lifting device 8 for the destoning device, and the discharge port 8b of the lifting device 8 for the destoning device is used to compare stones and the like contained in the introduced grains. It faces the input port 9a side of the stone removal device 9 for selectively removing foreign matter having a high specific gravity.
[0009]
The foreign matter removing device 10 is for taking out each piece of straw and the like contained in the inputted grains while sorting and separating the same, and the discharge port 9b of the stone removing device 9 is placed on the input port 10a side of the foreign matter removing device 10, The discharge port 10b of the foreign matter removing device 10 is made to face the hopper 11a of the rice mill elevator 11, respectively. Among them, the discharge port 11b of the rice mill elevator 11 is configured to face the brown rice tank 16, and below the brown rice tank 16, a rice mill 12 for whitening grains is arranged.
[0010]
Reference numeral 17 denotes a machine-room-side bran conveying path for air-conveying the bran generated by the whitening processing by the rice milling device, and communicates with the bran processing unit 13.
The bran processing unit 13 includes a cyclone 18, a bran spiral 19 for horizontally transporting the bran dropped from the cyclone 18, a bran spiral drive motor 20 for driving the bran spiral 19, a bran transport gutter 21 containing the bran spiral 19, and a bran transport gutter 21. A plurality of bran bags 22a and 22b are provided before and after the transfer of the bran to accommodate the bran discharged from the bran discharge ports 21a and 21b.
[0011]
As shown in FIG. 2, the operation panel 5 has a coin insertion slot 30, a bill insertion slot 31, a sticky selection button 32, and a whiteness selection button 33 (in this embodiment, upper white, standard, three-eighths). And so on). The operation panel 5 is provided with a microcomputer for controlling the driving motors of respective parts in sequence.
[0012]
As shown in FIG. 3, the control unit 34 of the microcomputer receives a coin sensor 35, detection information from the bill detecting means 36, whiteness selection information from the whiteness selection button 33, selection information from the rice cake selection button 32, and the like. Is done. On the other hand, a control signal to a rotary valve drive motor 37, an elevator drive motor 38 for a destoner / rice mill, a destoner drive motor 39, a rice mill drive motor 40, and a bran spiral drive. The motor 20 and the driving motor 41 of the foreign matter removing device are output.
[0013]
Reference numeral 45 denotes a vibration detection unit, which receives a vibration detection unit 46 composed of a piezoelectric element and a detection signal from the vibration detection unit 46, performs signal classification processing, fast Fourier transform processing, decoding processing, and calculates a detection output. The operation unit 47, the reception connection unit 48 and the transmission connection unit 49 that can be connected to the control unit 34 to transmit and receive the model code and the detection item code to and from the control unit 34, and the operation unit 47 And a calculation output unit 51 including a digital output unit 50 for outputting the obtained data to the control unit 34. Incidentally, 52 is an analog signal adjusting unit, and 53 is a memory. Further, the transmission connection unit 49 has a model and a type code of a detection item, and obtains the model or the detection item by comparing with the type code input from the control unit 34.
[0014]
Here, it is assumed that the present invention is applied to a drying machine, a hulling machine, and a combine machine in addition to the unmanned rice mill using 8-bit data. When the high-order signal “1000” is assigned to the rice milling machine, the high-order signal “1000” is input to the receiving connection unit 48. That is, it recognizes that the input is for an unmanned rice mill. Similarly, a grain dryer is identified by an upper signal “0100”, a huller is identified by “0010”, and a combine is identified by “0001”, respectively.
[0015]
At the same time, the lower signal is used for recognizing which selection has been made for the rice milling machine load, the rice milling machine remaining amount, the rice flow rate, and the network breakage in correspondence with a predetermined type code. The four detection items can be automatically switched.
For example, an 8-bit lower signal "1000" is a rice mill loader, "0100" is a rice mill remaining amount, "0010" is a rice flow rate (milling processing amount), and "0001" is a relationship corresponding to a net break. is there.
[0016]
In the vibration detection unit 45, a mounting base 45c integrally formed with a case member 45b and a vibration detection unit 46 as a vibration pickup are adhered to a planar base member 45a. A harness connection is made between the vibration detecting section 46 and a board 45d mounted on the mounting seat 45c with an appropriate gap therebetween. The arithmetic processing output unit 51 is formed on the substrate 45d. The vibration detection unit 45 is configured to be detachably mounted on the machine wall 54 to be measured by bolting (FIG. 5).
[0017]
FIG. 6 shows an example of an installation configuration of the vibration detection unit 45. The vibration detection unit 45 is appropriately mounted on a housing 57 surrounding a polishing net 56 in which a polishing mill roll 55 is provided, and the vibration detecting unit 45 is configured to detect the magnitude of the load on the polishing machine of the polishing machine 12 based on the fluctuation of the detected vibration. is there. Note that the vibration detection unit 46 and the calculation output unit 51 of the vibration detection unit 45 may be configured separately.
[0018]
With the above configuration, rice polishing operation is started. That is, while the operator puts the grains into the raw material input tank 5, the coin or bill to be charged is inserted into the coin insertion slot 30 or the bill insertion slot 31, and in the case of the whiteness selection button 33, or When the mochi selection button 32 is pressed, each unit in the machine room 3 starts driving.
[0019]
At the same time as the operation of the rice polishing apparatus 12, the 8-bit high-order signal “1000” assigned as the rice polishing apparatus is output from the control unit 34 of the operation panel to the reception connection unit 48 of the vibration detection unit 45, thereby calculating. The unit 47 can recognize that the model to which the vibration detection unit 45 is connected is an unmanned rice mill. Accordingly, the arithmetic unit 47 inputs the 8-bit lower signal via the reception connection unit 48, and outputs the rice milling machine load, the rice milling machine remaining rice amount, the rice flow rate (milling processing amount), and the network breakage. Four detection items can be sequentially recognized.
[0020]
The detection signal from the vibration detection unit 46 mounted on the housing 57 is subjected to analog signal adjustment, and then subjected to signal separation processing, fast Fourier transform (FFT) processing, and decoding processing in the calculation unit 47 to be processed. The digital signal is converted and output (FIGS. 7 and 8). FIG. 7A shows the original data, FIG. 7B shows the case where differentiation is performed as signal classification processing, and FIG. 7C shows the power spectrum intensity obtained by the fast Fourier transform processing.
[0021]
At this time, instead of the fast Fourier transform processing, a maximum entropy method (MEM) may be used. Further, a solid (plate) vibration detecting means or a gas vibration (voice signal) detecting means may be used for the vibration detecting section.
The signal classification process employs a multivariate analysis method such as principal component analysis and discriminant analysis, or employs a waveform processing means such as noise removal, waveform shaping, waveform addition / subtraction, and differential operation. This signal classification process is a process that is performed before the subsequent fast Fourier transform process and is not necessarily essential, and it is possible to skip the process and immediately start the fast Fourier transform process. The decoding process uses regression analysis and discriminant analysis of multivariate analysis.
[0022]
The digital output from the digital output unit 50 is output to the control unit 34 of the rice milling apparatus. The control unit 34 receives the digital output and can input information such as the size of the rice milling machine load and the amount of rice flow. It becomes.
Even when a plurality of detection items are provided, the single detection unit 45 transmits the data from the calculation unit 47 to the control unit 34 in order, so that the control unit 34 does not need to sequentially analyze the input signal. Although a single detection unit 45 is used in this embodiment for a plurality of detection items, a plurality of detection units may be set for each predetermined item. In that case, it is possible to further arrange the detection location at an appropriate position.
[0023]
The control unit 34 can recognize an abnormal state such as a rice mill overload and a broken network, a remaining amount of the rice mill, and a level of rice flow, depending on the state of the input vibration detection signal. As a result, the control unit 34 can output an abnormality alarm or adjust the flow rate by turning on and off the transport system.
[0024]
As described above, by adopting the vibration detection unit 45 in the unmanned rice mill, conventionally, the raw data from the vibration detection unit was subjected to waveform analysis and evaluation, so that an arithmetic method such as a fast Fourier transform process was used. When applied to the arithmetic and control unit of a computer, it is rarely implemented because of the high cost.Also, even if it is configured to be used for multiple models, all assumed model data is In the configuration for calculating, the load on the control unit becomes excessively large, which is not practical. However, when the vibration detection unit 45 is configured as described above, the analysis location by various types of vibration detection can be analyzed by the vibration detection unit 45 having a common specification. In other words, it can be applied to any agricultural machines other than unmanned rice mills, such as agricultural tractors, combine harvesters, rice transplanters, dryers, and rice hullers. Is promoted, cost can be reduced.
[0025]
FIG. 9 shows a configuration in which the vibration detection unit 45 is applied to a grain dryer. The vibration detection unit 45 is configured to sequentially detect the presence / absence of paddy flow, paddy moisture, grain type, filling amount, and the like. That is, a storage chamber 61, a drying chamber 62, and a grain collecting chamber 63 are provided in this order from the top in the machine frame 60, and while the grains are fed out from the drying passage 64 toward the grain collecting chamber 63, the hot wind on the front side of the machine frame is formed. The hot air flowing from the hot air chamber 65 leading to the generator (burner) to the exhaust chamber 67 leading to the rear suction fan 66 is immersed in the hot air and dried. The grains collected in the grain collecting chamber 63 are conveyed by the upper transfer device 70 from the lower transfer device 68 via the elevator 69, and are returned to the storage chamber 61.
[0026]
In the above-mentioned grain dryer, when the vibration detection unit 45 is mounted on the outer wall of the storage chamber 61 and connected to the control unit 71 of the grain dryer, the control unit 71 detects the moisture content of the paddy, the type of grain, the amount of filling, and the like. A signal is output. The vibration detection unit 45 may be provided on the ceiling of the storage room 61, on a side surface close to the ceiling, or on a part of the elevator in accordance with the measurement item.
[0027]
The control unit 71 outputs a detection code signal such as a model code signal and presence / absence of paddy flow, grain moisture, a grain type, a filling amount, and the like. Can be detected.
To achieve this, it is first necessary to specify the type of grain. A discriminant function is created by performing discriminant analysis using output (power spectrum) values in a plurality of specific frequency regions obtained by performing fast Fourier transform processing on n preset samples. The signal detected by the vibration detection unit is subjected to waveform shaping and fast Fourier transform processing, and the output value of a specific frequency in the obtained processing result is substituted into a discriminant function to obtain a barley, wheat, paddy, etc. And determine the grain type.
[0028]
Next, a case where the grain moisture is determined will be described. A fast Fourier transform process is performed on n samples set in advance, and a multiple regression equation (calibration curve) for predicting grain moisture using output values in a plurality of specific frequency regions as explanatory variables is created. By substituting the output value (explanatory variable) of the specific frequency specific to the moisture into the obtained calibration curve for quantifying the moisture for each grain type, the target moisture, the grain moisture, is output as a digital signal output as a calculation result. obtain.
[0029]
FIG. 10 shows the state of the inside of the tank constituting the storage chamber 61 such as the grain dryer, for example, the arithmetic processing in the case of measuring the contained grains. Although a tank unit is vertically stacked like a grain dryer and assembled into the storage chamber 61, a conventional configuration in which the capacity is measured using a plurality of vibration sensors as described in Japanese Patent Publication No. 6-64015. Is common. More specifically, a fast Fourier transform process is performed on n preset samples, and a multiple regression equation for predicting the grain weight in the tank using output values in a plurality of specific frequency regions as explanatory variables is created. By substituting the output value (explanatory variable) of the specific frequency specific to the grain weight in the tank into the obtained calibration curve for the grain weight in the tank for each grain type, the calculation result shows Grain weight is obtained as digital signal output. At this time, as the weight of the grain in the tank increases, the output value of the specific frequency shifts to the high frequency side.Therefore, the output value of the specific frequency may be calculated based on the shift amount of the output value of the specific frequency to the high frequency side without using the multiple regression equation. It is possible.
[0030]
In this way, the vibration detection unit 45 is disposed on the upper surface of the tank, and the fast Fourier transform processing of the arithmetic unit 47 is executed. The weight of a substance filled in a tank, such as an inner grain, can be measured at a low cost by a similar method.
[0031]
FIG. 11 shows a configuration applied to a hulling machine, in which a vibration detection unit 45 sequentially detects the amount of paddy flow, the amount of paddy water, the dewatering rate, the processing capacity, the fine contact of rolls, the amount of remaining rice on the sorting plate, and the like. It is. The head has a pair of left and right removal rolls 72, and a wind selection unit 74 connected to a dust discharge cylinder 73 is provided below the head, and mixed rice from which dust has been removed by the wind selection unit 74. A sorting unit 75 is provided for sorting rice and brown rice while receiving and swinging. The vibration detection unit 45 is attached to the inner wall of the head, an elevator 76, and a swing sorter 77 serving as a separation unit 75, and the first vibration detection unit 45 provided on the inner wall of the head includes The second vibration detection unit 45 attached to the elevator 76 targets contact, the target is the amount of paddy flow, the moisture content and the processing capacity, and the third vibration detection unit 45 attached to the sorting board 77 detects the amount of remaining rice. It is intended for.
[0032]
In the above rice huller, when the vibration detection unit 45 is connected to the control unit 78 of the rice huller, the control unit 78 outputs the rice flow amount, grain moisture, dewatering rate, processing capacity, roll fine contact, and sorting plate. A detection item signal such as a remaining rice amount and a resonance point is output, and a magnitude of the detection item signal can be detected by receiving a digital signal output accompanying vibration detection.
[0033]
First, the amount of paddy flow is based on the fact that the intensity of the power spectrum after the fast Fourier transform process greatly varies depending on the amount of paddy flow. Grain moisture is based on the method of calculating grain moisture in a grain dryer. The loss rate is calculated based on the difference between the vibration frequency of the rice paddy vibration and the brown rice vibration. The processing capacity can be calculated based on the amount of paddy flow. The roll slight contact is determined based on the difference in vibration between when the detachment roll contacts and when it does not contact. The amount of residual rice on the sorting plate is calculated based on the natural frequency in the case where there is a grain in the sorted plate and in the case where there is no grain. The resonance point is a detection of whether or not the protrusion roll has resonated and caused abnormal vibration, and is performed by confirming whether or not there is an output of an abnormally large inherent frequency.
[0034]
12 and 13 are applied to a combine, and the vibration detection unit 45 can detect at least the engine speed, the grain culm supply depth, the presence or absence of a grain culm, the threshing performance (for example, threshing ability), and the threshing machine load status. . The vibration detection unit 45 is provided in the middle of a path for receiving the output of the engine 79 and supplying it to the threshing unit 80, and is mounted on, for example, a front wall of the threshing unit 80. Upon receiving the detection item signal from the combine control unit (not shown), the magnitude is sequentially detected for each of these detection items.
[0035]
Since the engine speed is the vibration itself from the engine that is the largest vibration source, the natural frequency of the peak output value in the power spectrum after the fast Fourier transform processing of the vibration is the engine speed. The presence or absence of the transported cereal stem and the supply of the cereal stem are performed by detecting a change in the natural frequency based on the presence or absence of the cereal stem supply. For example, when a grain culm is supplied, the detection unit vibrates at a natural frequency based on the culm. Therefore, the presence or absence of the transported grain culm can be detected by detecting an increase or decrease in the output of the natural frequency. The cereal stem supply load is performed by detecting an increase or decrease in the natural frequency. The threshing performance (for example, threshing performance) is performed by detecting the number of rotations of the handling cylinder 81 of the threshing unit 80 and an increase in high-frequency components due to threshing. The threshing unit load status is detected by detecting an increase or decrease in the rotation speed of the threshing unit 80. Grain moisture is based on the method of calculating grain moisture in a grain dryer. These detections may be calculated based on a predetermined multiple regression equation as in the case of the grain dryer, or the relationship between the frequency fluctuation and the target variable may be grasped in advance, and the unit calculated from the relationship may be used. It may be calculated by substituting the explanatory variables into the regression equation.
[0036]
FIG. 6 shows an example of the abnormality detection method. That is, the vibration detection unit 45 is set at a location where an abnormal vibration has occurred, and by detecting the abnormal vibration from the digital output unit 50, it is configured to predict whether it is a defective assembly, a degree of aging deterioration, or a location where the abnormality has occurred. I have. For example, the tension of the belt 82 which works with the drive shaft of the rice milling machine by the motor set bolt 83, the tightening of bolts and nuts (not shown) for fixing the compression plate of the rice milling machine, or the wear and deformation of parts. Is set in an abnormal state in advance, and each vibration state is stored, and the state of occurrence of the abnormality is determined by comparing the vibration state with an actually input detection signal.
[0037]
For example, by changing the belt tension or changing the bolt tightening torque, data based on vibration detection from a preset vibration source is collected, analyzed, and stored in the memory 53. When the vibration of the target agricultural machine is actually detected, a digital output is obtained, and an abnormality of each part can be estimated by comparing the digital output with the stored contents. Therefore, it is possible to diagnose a defective assembly or deterioration over time, and to prevent an abnormality from occurring.
[0038]
FIG. 14 shows a method for estimating the rice finishing time. The vibration detecting unit 45 is attached to the white rice outlet 85 of the rice polishing apparatus 12 so as to detect the vibration of the white rice discharged from the white polishing cylinder 86 of the rice polishing apparatus 12 due to the impact. The control unit 34 on the unmanned rice mill side receives and analyzes the signal from the digital output unit 50 of the vibration detection unit 45 as described above, and calculates the average of the grain flow rate. On the other hand, a brown rice tank 87 is provided in the upper part of the rice polishing apparatus 12, and a level detector 88 is provided in the brown rice tank 87 so as to detect the amount of brown rice in the tank and output it to the control unit 34.
[0039]
Therefore, the remaining processing time can be calculated from the integrated value of the average flow rate of the grain flow per unit time described above and the amount of brown rice in the brown rice tank. The arithmetic unit 47 in the vibration detection unit 45 employs a fast Fourier transform process or a maximum entropy method (MEM), and is configured to perform time integration using data obtained by integrating a flow rate weighting factor with an amplitude for each frequency band. At the same time, if the obtained integrated value is configured to be corrected in advance based on a predicted grain hardness or a predicted intergranular friction coefficient accompanying a grain type input or the like, prediction detection accuracy can be improved. In FIG. 15, fast Fourier transform processing is performed to obtain the angular frequency w. ₁ To ωn, and a predicted value can be calculated by applying the equation to the equation shown in FIG. Are constants, ω1, ωn are predetermined specific frequency intensities, and these are substituted to calculate a predicted value.
[0040]
FIG. 16 is intended to improve the accuracy of processing control in the case where a polishing rice device (or a non-washing rice device) 90 for removing skin bran remaining on the white rice surface after polishing is installed in a post-process of the polishing process. The rice polishing means attached to an unmanned rice mill, etc. is designed to expand the use of rice as a configuration for processing not only the white rice from the rice mill but also the white rice (user rice) brought in by the user. Rice processing must be carried out without knowing the milling information such as the degree of milling and variety. Therefore, by measuring the yield of milled rice, the rate of crushing, and the grain temperature of the user rice, it is possible to predict the procedure and degree of processing of polishing or non-washing rice, and perform non-washing rice suitable for the user rice.
[0041]
That is, the rice milling device 90 is disposed at the subsequent stage of the rice milling device 12, and the rice milling device elevator 11 for the rice milling device 12 is provided with a moisture detector 91 that samples the rising brown rice grains and detects moisture for each unit grain, The vibration detection unit 45 is arranged on the surface of the box of the rice polishing apparatus 12. The control unit 34 inputs the vibration detection and the moisture value to predict the yield of whitening, the rate of crushing, or the grain temperature.
[0042]
FIG. 18 is intended to perform detection with good responsiveness by causing the vibration detection unit 45 to perform vibration analysis at a predetermined timing in the vibration detection signal calculation unit 47. That is, when calculating the periodic vibration generated by the rotation or reciprocation by the calculation unit 47, a rotation detection unit or a swing detection unit is provided in accordance with the type of the apparatus, and the control unit 34 detects the detection from the detection unit. Upon receiving the signal, the periodicity is ascertained, and the arithmetic unit 47 of the vibration detection unit 45 executes the fast Fourier transform processing of the vibration waveform according to the periodicity. Accordingly, a highly responsive vibration detection arithmetic processing can be performed with a minimum sampling time. For example, it can be used for vibration analysis of a reciprocating swing sorter (not shown) of the stone removing device 9 and the like. In FIG. 18, there is a difference in the result of the fast Fourier transform processing between the case where A is sampled and the case where B is sampled. Therefore, when sensing such as C is performed, the data is treated as effective data including adjacent peak values by software processing.
[0043]
In addition to the above, the following analysis is possible using the vibration detection unit 45.
The vibration detection unit 45 can detect the flow of brown rice into the rice mill 12, detect the operation start timing, and detect the amount of residual rice inside the rice mill.
Further, it is intended to determine the necessity of interruption of the control by analyzing the amplitude of the detection signal. That is, the amplitude of the signal before the arithmetic processing by the arithmetic unit 47 is analyzed, and when the amplitude becomes smaller than the specified amplitude level at an attenuation speed larger than the preset attenuation speed, the control unit 34 instructs each operation unit to interrupt the control in order to interrupt the control. Output a signal. The control is restarted when the amplitude of the signal to the arithmetic unit 47 becomes larger than the specified amplitude level at a larger increase speed than the preset increase speed. Further, when the control interruption continues for a specified time or more, an alarm signal by an alarm sound, an alarm lamp or the like is output. As a result, even if the machine manager during the adjustment work suddenly touches the part that affects the vibration detection performance, abnormal control is not performed, and the work is not proceeded without realizing that the contact has been made. can do.
[Brief description of the drawings]
FIG. 1 is a work process diagram of a rice milling facility.
FIG. 2 is a front view showing an operation panel.
FIG. 3 is a block diagram.
FIG. 4 is a schematic diagram of a configuration of a vibration detection unit.
FIG. 5 is a cross-sectional view illustrating an example of a vibration detection unit.
FIG. 6 is a side sectional view showing an example of a rice mill.
FIG. 7 is a flowchart.
FIG. 8 is a diagram showing a conversion process of original data.
FIG. 9 is a front sectional view of the grain dryer.
FIG. 10 is a graph showing a relationship between angular frequency and intensity.
FIG. 11 is a front sectional view of the huller.
FIG. 12 is a side sectional view of the combine.
FIG. 13 is a perspective view of the combine.
FIG. 14 is a side sectional view showing another example of the rice mill.
FIG. 15 is a graph showing (a) an example of raw vibration data and (b) an example of a power spectrum after FFT processing.
FIG. 16 is a conceptual diagram showing a rice polishing machine and a rice polishing machine.
FIG. 17 is a diagram illustrating an example of a power spectrum after FFT processing.
FIG. 18 is a diagram illustrating an example of periodic data.
[Explanation of symbols]
34 (rice polishing machine) control unit, 45 ... vibration detection unit, 45a ... base member, 45b ... case member, mounting seat, 46 ... vibration detection unit, 47 ... calculation unit, 48 ... reception connection unit, 49 ... transmission connection unit Reference numeral 50, output unit, 51, calculation output unit, 52, analog signal output unit, 53, memory, 54, machine wall

Claims (1)

A vibration detection unit attached to a vibration point of a device in which each unit is operated and driven; receiving an analog signal from the vibration detection unit, performing signal Fourier transform (FFT) processing after signal separation processing, or performing a Fourier transform to perform vibration A calculation unit for calculating the situation, and a type information transmission unit for classifying a model or a detection item of the device between the control unit of the device and a control unit of the device. A vibration detection device configured to output to the control unit for each detection item.

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