JP3343469B2 - Elevator abnormality detection device - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to the presence or absence of an abnormality in an elevator based on data values collected from a control device of the elevator, such as operating states of elevators, operating states of components, and required times thereof. The present invention relates to a device for detecting an abnormality of an elevator.

[0002]

2. Description of the Related Art When an elevator breaks down, many users are inconvenienced and an abnormal operation may cause a serious accident. Therefore, an elevator is always provided with an abnormality detecting device. Various types of abnormality detection methods for various devices are known. For example, Japanese Patent Application Laid-Open No. 3-233799.
In the official gazette, a means for detecting the rate of change of the process value is provided,
Disclosed is an invention of a plant abnormality detection device in which upper and lower limits of a process value are set based on a detected change rate of a process value, and an alarm is issued when the input process value exceeds the upper and lower limits. Have been.

[0003]

In the above prior art, the upper and lower limits of the process value are set based on the rate of change of the process value. Therefore, the relationship between the rate of change of the process value and the upper and lower limits of the process value is determined in advance. Prescribed regulatory requirements are required and, therefore, are not applicable to equipment for which this relationship is not clear. The present invention has been made in view of such a problem in the related art, and provides an elevator abnormality detection device capable of detecting an abnormality even when the relationship between the data change rate and the upper and lower limit values is unknown. With the goal.

[0004]

SUMMARY OF THE INVENTION In order to solve the above-mentioned problems, the present invention provides an operation state of an elevator, an operation state of components,
Or data of various data items such as required time
The values are collected and stored at predetermined times from the elevator controller.
Means for storing the data, and
An elevator abnormality detection device that determines the presence or absence of
There are, calculates the average value over the plurality of time rate of change of the data value of the data value and said time point different from the latest point in time of a plurality of time read from said storage means, based on the average value The data value at the next data collection time is predicted, and if the absolute value of the difference from the actually measured data value at the next data collection time is equal to or greater than the set value, it is determined that the elevator is abnormal.
When the sign of the average value of the change rate of the calculated data value is different from the sign of the change rate between the latest data value read from the storage means and the actually measured data value at the next data collection time , It is determined that the elevator is abnormal.

[0005]

An embodiment of the present invention will be described below in detail with reference to the drawings. FIG. 1 is a block diagram illustrating a schematic configuration of the abnormality determination device according to the embodiment of the present invention. In the figure,
1 is an abnormality determination device, 2 is an elevator to be determined,
Reference numeral 3 denotes a data collection device that collects detection information sent from various sensors (not shown) attached to the elevator 2, and T denotes a communication line that connects the elevator 2 and the data collection device 3. Further, in the internal configuration of the abnormality determination device 1, reference numeral 1 a denotes an elevator 2 collected by the data collection device 3.
1b is a central processing unit for calculating the detection information of the elevator 2 captured by the data input unit 1a and determining the abnormality of the elevator 2; 1c is a processing result calculated by the central processing unit 1b. A data storage unit 1d stores the data of the processing result calculated by the central processing unit 1b or the data read from the data storage unit 1c on a display unit (not shown), or outputs the data as electronic information to the outside. Output unit. The detection information includes the door opening time of the elevator 2, the traveling speed and acceleration time during traveling, the landing position when stopping on the floor, the operating position of the limit switch, and the like.

FIGS. 2 and 3 are flow charts of the elevator abnormality determining process according to the present embodiment and explanatory diagrams showing a state in which data of door opening time is collected for 12 months and displayed on a display unit in a graph. . The operation of the present embodiment will be described with reference to these drawings. Since the door opening time t fluctuates seasonally, FIG. 3 shows a result of temperature correction of the seasonal fluctuation. First, in the first step S1, the data collection device 3 collects the latest measurement data D of the door opening time t of the elevator 2 sent from the elevator 2 via the communication line T. Next, the latest measurement data D collected by the data collection device 3 is stored in the data storage unit 1c via the data input unit 1a (S2). Then, from the data stored in the data storage section 1c, the door opening time t of the elevator 2 is determined.
Is read out (S3). Then, the average value <t> of the past measurement data D of the door opening time t is calculated every month, and those measurement data points are graphically displayed on the display unit. the difference between January door opening time <t _1> and door opening time for each subsequent month _{<t i>(<t i} > - <t 1>) calculates the (S4).

Next, the gradient of the line segment connecting the measured data point of each month and the measured data point of January is calculated from these values, and their average value <g _n >, that is, <g _n > = Σ _{i = 2} ^{n (11)} (<t _i > − <t ₁ >) / (i−
1) · 10 (n is the last month when the door opening time t was measured; here, n = 1
1) by calculating the has an average gradient <g _n>, a straight line passing through the measurement data points for January, i.e., door opening time change linearly L _e
(S5). And this door opening time change straight line _Le
, The predicted door opening time [t _{n + 1} ] of the next month (n + 1) of the last month, that is, the predicted door opening time [t ₁₂ ] of _December
To calculate the actual measured value of the door opening time <tn _{+ 1} >, in this case <
Compare with t ₁₂ > (S6). As a result, | <t _{n + 1} > −
[T _{n + 1} ] | <Δ ₁ and (<t _{n + 1} > − [t _{n + 1} ])
It is determined whether <g _n >> 0 (S7). If the determination result is correct, it is determined that the measured door opening time <tn _{+ 1} > in the next month (n + 1) of the measured last month is normal, and the processing of this routine is ended.

If the result of the determination is negative, | <t _{n + 1} > −
It is determined whether [t _{n + 1} ] | <Δ ₂ (0 <Δ ₁ <Δ ₂ ) (S8). If the judgment result is correct, the measured door opening time
<t _{n + 1} > is a sign of failure, assuming that the equipment or parts of the elevator corresponding to the event to be measured, in this case, a rubber coating covering the steps of the landing door, or a rubber roller supporting the door Is displayed on the display unit, or output to the printing device via the output unit 1d to be displayed on the recording paper (S9). If the result of the determination is negative, it is determined that an abnormality has occurred in the equipment, and a guidance display for prompting replacement of the equipment or parts of the elevator corresponding to the event to be measured is displayed on the display unit, or the output unit is displayed. The data is output to the printing device via 1d and recorded and displayed on the recording paper (S10).

In general, an event to be measured for judging an abnormality of an elevator shows a monotonous increase or a monotonous decrease tendency with an increase in use time or elapsed time. If the measured value is far from the predicted value calculated from the data, or if the actually measured value shows a tendency different from the tendency predicted from the past data, it is determined that an abnormality has occurred. It has become. In the present embodiment, the case where the elevator door opening time is adopted as the measurement target has been described.In addition, the acceleration / deceleration time during running, the floor slippage distance at landing, the power load during no load running, and the like are described. It may be a measurement target.

[0010]

As described above, according to the present invention, the plurality of rates of change between the data values of various data items at a plurality of time points read from the storage means and the data values at the latest time point different from the time point are determined. When the average value over the time is calculated, the data value at the next data collection time is predicted based on the average value, and the absolute value of the difference from the actually measured data value at the next data collection time is equal to or greater than the set value. since so as to determine a elevator abnormality, together with the relationship between the change rate and the upper and lower limit values of the data can be abnormal detection was unknown, and the sign of the average value of the rate of change of the computed data values, memory When the sign of the rate of change between the latest data value read from the means and the actually measured data value at the next data collection time is different
Is also determined to be an abnormality in the elevator, so even if the absolute value of the difference between the predicted data value and the measured data value is smaller than the set value, an abnormal change in the measured data value is detected and the Can be found.

[Brief description of the drawings]

FIG. 1 is a block diagram illustrating a schematic configuration of an abnormality determination device according to an embodiment of the present invention.

FIG. 2 is a flowchart of an elevator abnormality determination process according to the embodiment.

FIG. 3 is an explanatory diagram showing a state in which a result of collecting data of a door opening time is graphically displayed on a display unit.

[Explanation of symbols]

 Reference Signs List 1 abnormality determination device 1a data input unit 1b central processing unit 1c data storage unit 1d output unit 2 elevator 3 data collection device T communication line

────────────────────────────────────────────────── ─── Continuation of front page (72) Inventor Shinichiro Kono 1-6-6 Kanda Nishikicho, Chiyoda-ku, Tokyo Within Hitachi Building System Service Co., Ltd. (56) References JP-A-5-294587 (JP, A) JP-A Heisei 3-132899 (JP, A) JP-A-58-22283 (JP, A) JP-A-62-249876 (JP, A) (58) Fields investigated (Int. Cl. ⁷ , DB name) B66B 5/00 -5/02 G08B 31/00

Claims (1)

(57) [Claims] 1. A data value of various data items such as an operating state of an elevator, an operating state of component equipment, and a required time thereof are collected from a controller of the elevator at a predetermined time, stored in a storage unit, and stored. In the elevator abnormality detection device that determines whether there is an abnormality in the elevator based on the data value, the change rate between a data value at a plurality of time points read from the storage unit and a data value at the latest time point different from the time point An average value over the plurality of time points is calculated, and the data value at the next data collection time point is predicted based on the average value, and an absolute value of a difference from an actually measured data value at the next data collection time point is equal to or greater than a set value. It is judged that the elevator is abnormal when
The sign of the average value of the change rate of the calculated data value,
The latest data value read from the
The sign of the rate of change from the measured data value at the time of collection is different
An elevator abnormality detecting device characterized in that it is determined that the elevator is abnormal even in such a case.