JP2922689B2 - Loom abnormality detection method - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method for early detection of abnormal mechanical load on a loom motion mechanism.

[0002]

2. Description of the Related Art For example, Japanese Patent Application Laid-Open No. 58-54048 and Japanese Utility Model Application Laid-Open No. 60-86578 disclose outputting an alarm or shutting off a power supply when the temperature of a loom driving motor becomes abnormal. Is disclosed. Since these techniques aim at protecting the motor, the set value of the abnormal temperature is set to a high value that does not need to be adjusted even when the weaving conditions are changed. Therefore, even if an excessive load is applied to the motor due to abnormal friction generated by the loom's motion mechanism or other mechanical abnormality, the temperature at which the abnormal load immediately exceeds the set value of the abnormal temperature Since it does not lead to a rise, rapid and accurate detection of abnormal loads is not possible. In addition, if the weaving conditions are different, the steady load applied to the motor itself will be different, and it has been extremely difficult to quickly and accurately detect an abnormal load.

[0003]

SUMMARY OF THE INVENTION Accordingly, an object of the present invention is to quickly and accurately detect an abnormal load applied to a motion mechanism of a loom while considering weaving conditions.

[0004]

According to the above object, the present invention sets a reference value of a parameter to be detected, which changes in relation to a load applied to a movement mechanism of a loom, for each weaving condition, and sets the reference value during weaving. The parameter is measured, and when the value of the measured parameter exceeds a reference value corresponding to the weaving condition during weaving, an abnormal signal is output. Alternatively, when an alarm level derived based on a reference value set for each weaving condition exceeds a threshold, an abnormal signal is output.

According to this abnormality detection method, since the reference value is set for each weaving condition, a delicate abnormal load on the movement mechanism of the loom can be detected accurately and quickly in accordance with the weaving conditions during weaving.

The parameters to be detected are the motor temperature of the motor for driving the moving mechanism, the motor current and the oil temperature for lubricating the moving mechanism. These parameters are independent for each loom during weaving, or a plurality of looms. Are sequentially measured under a centralized control scheme. The weaving conditions include the opening pattern, the warp tension, and the rotation speed of the loom. The reference values are the absolute values (measured values) of the temperature and current obtained in the trial weaving stage, or the rise values, such as the factory temperature and the motor. Multiply the difference between the temperature (measured value) or the standard value of the temperature change rate, or the average value of multiple measured values obtained from a group of looms under the same weaving conditions by a margin coefficient, or add the fluctuation range Is set by

[0007]

Embodiment 1 In Embodiment 1, as shown in FIG. 1, a motor temperature is measured as a parameter that changes in relation to a load applied to a motor 1 as a detection target of a loom 11, and the measured motor temperature is measured. Is an example in which is compared with a reference value of temperature. The motor 1 is for driving the movement mechanism of the loom 11, and is a driving motor, a motor dedicated to shedding drive, a delivery motor, a winding motor, and the like.

The motor temperature of the motor 1 is measured by a temperature sensor 2 incorporated near a heating portion, for example, a winding of a stator, amplified by an amplifier 3, and sent to one input terminal of a calculation circuit 4. I have. Also,
The temperature in the factory is measured by the room temperature sensor 5, amplified by the amplifier 6, and sent to the other input terminal of the calculation circuit 4.

Here, the calculation circuit 4 calculates the temperature rise of the motor 1 from the start of the loom 11 to the time of steady operation by a formula of (motor temperature-room temperature = temperature rise value) or the temperature of the motor 1 during steady operation. The rise is calculated by a formula of (previously measured motor temperature-next measured motor temperature = temperature rise value), or the temperature change rate of the motor 1 from the start of the loom to the steady operation or the steady operation (the temperature per unit time) It is obtained from a calculation formula of a rise value = temperature change rate) and is sent to one input terminal of the comparator 7.

On the other hand, as the weaving conditions, data such as an opening pattern, a warp tension, and a rotation speed of a loom are stored in a storage unit 9 through an input unit 8. Under this weaving condition, test weaving is performed on one loom 11 to be controlled or a group of a plurality of looms 11 under the same weaving condition, and a temperature rise value and a temperature change in a normal state obtained in the trial weaving stage are performed. The rate is input to the reference value calculator 10.

In the reference value calculator 10, for example, a value obtained by multiplying the temperature rise value of the motor 1 from the start of the loom to the steady operation by a margin coefficient K (1 <K <2) is used for the steady state from the start of the loom. A reference value for the temperature rise of the motor 1 during operation, or another margin coefficient k (0 <k
The value obtained by multiplying <1) is used as a reference value for the temperature rise of the motor 1 during the steady operation, or by adding the allowable temperature value of the fluctuation range to the above temperature rise value, from the start of the loom to the steady operation. It is set as a reference value of the temperature rise of the motor 1.

The reference value corresponding to the temperature change rate can also be obtained by multiplying the temperature change rate of the motor 1 from the start of the loom to the steady operation by a margin coefficient or adding an allowable change rate. . Alternatively, a plurality of detection values (temperature rise values,
The average value is calculated from the temperature increase rate or the temperature change rate corresponding to the temperature change rate by multiplying the average value by a coefficient of margin or adding the allowable temperature value in the fluctuation range to the average value. The reference value is calculated by the reference value calculator 10 and set. Then, the reference value corresponding to the weaving condition output from the reference value calculator 10 is sent to the other input terminal of the comparator 7 as a constant value or a value that changes with time.

In the actual weaving process, the temperature sensor 2 and the room temperature sensor 5 measure the motor temperature and the room temperature of the motor 1, respectively, and send them to the calculation circuit 4. Here, the calculation circuit 4 obtains the temperature rise value or the temperature change rate from the above-mentioned calculation formula, and sends it to one input terminal of the comparator 7.

Therefore, during weaving, the comparator 7 compares the measured temperature rise value or temperature change rate with the corresponding reference value, and when the temperature rise value or the temperature change rate exceeds the temperature reference value, , An abnormal signal is generated, and the alarm 13 is operated. The alarm 13 turns on or blinks a lamp or emits an alarm sound.
To display the abnormal temperature, group the alarm levels for each abnormal temperature, and automatically stop the loom 11 according to each level, or continue the alarm output without stopping the loom 11 . The display 12 takes in the motor temperature, the room temperature, the temperature rise value, the temperature change rate, the margin, and the like, as necessary, in addition to the abnormal temperature, and displays it at all times or as needed, so that it can be visually observed from outside. To be able to confirm.

Although the circuit example of FIG. 1 is configured as an analog system, the portion surrounded by a two-dot chain line is configured as a digital system, and is executed by software program processing of a computer after A / D conversion processing. You can also.

[0016]

Second Embodiment As shown in FIG. 2, the second embodiment is an example in which two parameters of a motor 1 are measured, namely, a motor temperature and a motor current, and these are processed under centralized control.

The motor temperature and motor current of the motor 1 of each of the looms 11, 12,...
And the current measured by the current detector 33 as an analog quantity, amplified by the amplifiers 3 and 14, and the A / D converter 1
Is converted into a digital quantity by the communication controller 1 and the communication controller 1
Under the control of 7, the signal is sent to the communication controller 19 on the centralized control side via the communication line 18, passes through the temperature discriminator 23, enters the room temperature corrector 22, and passes through the current discriminator 34 and enters the comparator 24.

On the other hand, the room temperature is measured by one room temperature sensor 5 common to the factory or by a plurality of room temperature sensors 5 near each of the looms 11, 12,..., 1n. After being converted into a digital quantity and averaged by the averager 21, it is sent to the room temperature corrector 22. The room temperature corrector 22 corrects the measured temperature value sent from the temperature discriminator 23 at room temperature to obtain an accurate temperature rise value, and sends it to one input terminal of the comparator 24.

On the other hand, the operator needs to input the input unit 2 in advance.
5 is operated to specify the machine number for each product type, and data such as the fabric specifications, the opening pattern, the warp tension, and the rotation speed of the loom are sent to the input device 26 as the weaving conditions and stored in the database 27 together with the product number. Keep it. The communication controller 19 sequentially searches for each of the looms 11, 12,..., 1n, and sends the machine number from the communication controller 19 to the type searcher 29 by the type determiner. The product type searcher 29 inputs the product type, that is, the fabric specification from the database 27 based on the product type number, and sends the data to the reference value calculator 30.

Here, the reference value calculator 30 is connected to each loom 1
A unique reference value corresponding to the weaving condition regarding the motor temperature and the motor current corresponding to 1, 12,..., 1n is calculated and sent to one input terminal of the comparator 24. Therefore, the comparator 24 compares the measured motor temperature value and the measured motor current value sent for each of the looms 11, 12,...
If the measured motor current value exceeds the current reference value,
Alternatively, an abnormal signal is generated when the measured motor temperature value exceeds the temperature reference value, or when the measured motor temperature value and the measured motor current value simultaneously exceed the corresponding reference values. When the alarm is generated, the alarm 31 is driven and an alarm is generated. When necessary, the alarm is recorded on the output device 32 such as a printer, and the data unit number, abnormal temperature, and room temperature required for management are displayed on the screen of the display 35. , Motor temperature,
Displays the motor current, temperature rise value, margin, alarm level, abnormal level, etc.

This abnormal signal is sent to the control units of the corresponding looms 11, 12,... 1n via the communication controller 19, the communication line 18, and the communication controller 17 as necessary.
Displayed separately. This abnormal signal is transmitted to each loom 1
It is used as a stop command or a command for forcibly reducing the rotation speed to the control units 1, 12,..., 1n.

Also in this embodiment, measured values (temperature value and current value) from a plurality of looms of the same type are sequentially input to the reference value calculator 30 while the type searching device 29 determines the type corresponding to each loom. Then, an average value for a plurality of looms may be calculated, and a unique reference value may be calculated based on the calculated average value.

As described above, by inputting the measured values from a plurality of looms of the same kind and calculating the reference value based on the average value, an accurate reference value having a small error with respect to the value at the time of occurrence of abnormality can be obtained. Can be set. Therefore, the abnormal load can be detected more quickly and accurately.

[0024]

Third Embodiment As shown in FIG. 3, in the third embodiment, as a result of comparing measured values of motor temperature, motor current, and oil temperature with three reference parameters, at least two parameters are obtained. This is an example in which an abnormal signal is output when the value exceeds a reference value. Here, the reference value is
For example, it can be set based on the value obtained by trial weaving, or can be determined by the management host computer based on the average value of the measured values from a plurality of loom groups under the same weaving conditions.

The oil temperature inside the oil bath 50 of the movement mechanism 38 is measured by a temperature sensor 51, and the motor temperature of the motor 1 is measured by, for example, a temperature sensor 52 mounted on a casing.
After being amplified in 5 respectively, they are sent to one input of the corresponding comparators 57 and 58. The motor current of the motor 1 is detected by the current detector 53, amplified by the amplifier 56, and sent to the comparator 59.

The reference values of these comparators 57, 58, 59 are given by a setter 60, and the respective comparators 5
7, 58 and 59 are fed to the other input terminals. Therefore, the comparators 57, 58, 59 detect the oil temperature, the motor temperature, and the motor current at all times or at appropriate intervals,
The outputs are compared with the respective reference values, and outputs having different levels are generated in accordance with the magnitudes of the reference values.

Here, the judgment unit 61 is provided with a judgment reference setting unit 6
According to 2, if at least two of the three parameters are higher than the reference value (“H” level), it is determined as abnormal (NG). Examples of this criterion are as shown in the following table.

[0028]

[Table 1]

When at least two of the three parameters attain an "H" level during weaving, it is determined to be abnormal, an abnormal signal is generated and sent to the loom control circuit 63.
Here, the loom control circuit 63 responds to the abnormality by the motor 1
Stop rotation or take other necessary action. In the case of the centralized control method, these reference values and determination criteria can be set as common to all the looms on the host computer side, or can be set for each of the looms, as indicated by a two-dot chain line. .

[0030]

Embodiment 4 In Embodiment 4, as shown in FIGS. 4, 5 and 6, a motor temperature, a motor current and an oil temperature for lubricating the movement mechanism 38 were measured as three parameters, and the measured values were measured. In this example, an alarm level is determined by fuzzy inference using a parameter value as an input, and an abnormal signal is output when the alarm level exceeds a threshold. In this embodiment, a plurality of looms 11, 12,.
A reference value is obtained from the measured value from 1n, and a membership function for parameters is set based on the reference value.

In FIG. 4, the host computer 36
Are used to detect motor temperatures, motor currents, and oil temperatures for lubricating the movement mechanism 38 from a plurality of looms 11, 12,...
1 and the average value μ and standard deviation σ of those parameters are calculated from the measurement results. The oil to be measured is used to lubricate the movement mechanism 38.
In the gear box or cam box 37. This oil temperature changes according to the magnitude of the load, and is reliable in that it is not affected by the abnormality of the motor 1. For example, even if the cooling fan of the motor is clogged, the oil temperature does not increase. Therefore, the oil temperature directly corresponds to the load on the movement mechanism 38.

The host computer 36 has a fuzzy inference unit 42 therein. In the fuzzy inference unit 42, membership functions are set for each motor temperature, motor current, and oil temperature of the movement mechanism 38 as fuzzy variables. FIG. 5 shows a setting form of each membership function. Mean μ and standard deviation σ
Is set on the horizontal axis of each membership function, and the grade is set on the vertical axis as, for example, three triangular labels. The alarm level is set on the horizontal axis in the range from 0 to 100 [%], and the threshold is, for example, 80%.
It is set at the [%] position.

Each membership function is obtained from the average value μ and the standard deviation σ obtained by statistically processing the data for each type and the number of revolutions collected by the host computer 36. For example, an average value μ and a standard deviation σ are obtained from measured values from a plurality of looms 11, 12,..., 1 n under the same weaving conditions, and μ ± 3σ is further obtained as a reference value. You have set a label membership function. The average value μ and the standard deviation σ can be artificially set as required. The alarm level is displayed in a bar graph or the like, and is set so as to output an abnormal signal when the threshold value is exceeded by comparison with a separately set threshold value.

FIG. 6 shows a process of synthesizing an alarm level from three parameters, ie, the motor temperature, the motor current and the oil temperature, and comparing the alarm level with the alarm level.

The fuzzy rules necessary for judging the alarm level by fuzzy inference from the motor temperature, the motor current and the oil temperature are as shown in the following table. 1 to N
o. Up to 27 are given in advance. Here, the temperature of the motor and the temperature of the oil are measured as a difference from the room temperature, as in the above-described embodiment. These fuzzy
The rules are set by the rule setting unit 43 and sent to the fuzzy inference unit 42.

[0036]

[Table 2]

The parameters measured from a certain loom are as follows: motor temperature = μ + 2σ, motor current = μ + σ, oil temperature =
When μ + σ, in the first step 1, each rule No. 1
From No. At 27, each input in the condition section (motor temperature,
The grade for the label (motor current and oil temperature) is determined by a membership function.

The rule No. No. 1 to No. In the case of a rule in which any one of the grades corresponding to each label among the 27 has a grade of 0, the grade for the entire condition part obtained in the next step 2 also becomes 0, and the obtained alarm level becomes 0. Therefore, FIG. 6 shows a state in which such a rule is removed. As a result,
The rules that function substantially are: 1, No. 2, N
o. 4, no. 5, no. 10, No. 11, No. 1
3, No. 14 only.

In step 2, in each rule, a grade that satisfies the entire conditional part is determined as the minimum value of the three parameter grades.

In step 3, the membership function of the alarm level is corrected by a method such as truncation as the operation amount of the conclusion part based on the grade for the entire condition part in each rule.

In the next step 4, the center of gravity is obtained from the membership function of the alarm level obtained by each rule, for example, by using a method of obtaining the center of gravity, and this center of gravity is set to the alarm level 38 [%]. The alarm level is displayed as a bar graph on the display 46.

In the last step 5, the comparator 44 determines whether or not the obtained alarm level 38 [%] exceeds the threshold value 80 [%], and outputs an abnormal signal if it exceeds the threshold value 80 [%]. Thus, in fuzzy inference, the motor temperature,
A comprehensive quantitative determination is made of the three parameters, motor current and oil temperature, and an alarm level is determined each time. Therefore, the alarm level is determined without bias to only one parameter. The threshold is input in advance by the threshold setting unit 45.

[0043]

According to the present invention, the reference value is set for each weaving condition, that is, for each of the opening pattern, the warp tension, and the rotation speed. Therefore, the comparison between the reference value and the temperature / current as the detection target parameter corresponding to the abnormal load is performed. The comparison becomes accurate, and abnormal load can be detected quickly and accurately. Therefore, it becomes possible to detect an abnormal state in the course of the weaving motion, in addition to a slight mechanical abnormal load and an electric abnormal load, which cannot be detected conventionally, and appropriate measures can be taken accordingly.

In particular, since the oil temperature for lubricating the movement mechanism is purely changed in accordance with the magnitude of the load, even if an abnormality on the motor side, for example, clogging of the cooling fan occurs, the oil temperature is not changed. Does not rise, so that it is highly reliable in determining abnormality in mechanical load. In addition, by combining the motor temperature, the motor current, the oil temperature, and the like, the determination of the load abnormality is ensured. In addition, when fuzzy inference is applied in the process of combining these, the comprehensive abnormality determination is performed for three parameters. This makes it possible to detect subtle abnormalities for each weaving condition.

[Brief description of the drawings]

FIG. 1 is a block diagram of a first embodiment for carrying out a method for detecting an abnormality of a motor for a loom according to the present invention.

FIG. 2 is a block diagram of a second embodiment for carrying out the method for detecting an abnormality of a motor for a loom according to the present invention.

FIG. 3 is a block diagram of a third embodiment for carrying out a method for detecting an abnormality of a loom according to the present invention.

FIG. 4 is a block diagram of a fourth embodiment for carrying out a method for detecting an abnormality of a loom according to the present invention.

FIG. 5 is a graph of a setting mode of a membership function.

FIG. 6 is an explanatory diagram of a process of comprehensively determining an alarm level from each fuzzy rule.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 Loom motor 2 Temperature sensor 5 Room temperature sensor 7 Comparator 10 Reference value calculator 11, 12 ... 1n Loom 13 Alarm 22 Room temperature compensator 30 Reference value calculator 31 Alarm 33 Current detector 39 Detector 40 Detector 41 Detector 42 Fuzzy inference unit

Continuation of the front page (56) References JP-A-58-54048 (JP, A) JP-A-59-187646 (JP, A) JP-A-63-42942 (JP, A) JP-A-63-167274 (JP) JP-A-3-104961 (JP, A) JP-A-60-86578 (JP, U) JP-A-55-99279 (JP, U) JP-A-58-78994 (JP, U) JP-A 59-113375 (JP, U) (58) Fields investigated (Int. Cl. ⁶ , DB name) D03D 29/00-51/40

Claims (4)

(57) [Claims] 1. A reference value of a parameter to be detected, which changes in relation to a load applied to a movement mechanism of a loom, is set for each weaving condition, the parameter to be detected is measured during weaving, and the value of the measured parameter is measured. Outputting an abnormal signal when the value exceeds a reference value corresponding to the weaving conditions during weaving. 2. A method according to claim 1, wherein a detection target is a movement mechanism of the loom and a motor for driving the movement mechanism, and one of a motor temperature, a motor current, and an oil temperature for lubricating the movement mechanism is used as a parameter. Item 2. The abnormality detection method for a loom according to Item 1. 3. An abnormal signal is output when at least two of the measured parameters of the motor temperature, the motor current and the oil temperature exceed a reference value corresponding to a weaving condition. The method for detecting an abnormality of a loom as described in the above. 4. A reference value of each of a plurality of parameters as a detection target that changes in relation to a load applied to a movement mechanism of a loom is obtained for each weaving condition, and a membership function for each parameter is set based on the reference value. Inputting the values of the parameters measured during weaving, determining the alarm level by fuzzy inference using the membership function, and outputting an abnormal signal when the alarm level exceeds the threshold value Loom abnormality detection method.