JPH08225266A - Elevator diagnostic device - Google Patents

Abstract

(57) [Summary] (Modified) [Purpose] An elevator diagnostic device that can determine the sign of an elevator failure simply by collecting the operation data from the measuring means that is usually provided to measure the operation characteristics of the elevator. [Structure] Elevator 3 measured by the data measurement unit 10
Of the motion data is stored in the storage unit 112, the difference between the average value and standard deviation value of the segmented motion data and the previously collected average value and standard deviation value is calculated and stored in the storage unit 132, and the average value and The standard deviation value is used as the failure diagnosis device 2
Send to. An elevator of the same type is selected from the average value and the standard deviation value, the difference between the average value and the previously collected average values is calculated, transmitted to the comparison / determination unit 13, and read from the storage unit 132. The sign of the elevator failure is determined from the difference between the average value and the standard deviation value, and the average deviation value difference and the average value difference transmitted from the failure diagnosis device 2.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an elevator diagnosing device for diagnosing an elevator on the basis of operation data obtained by measuring various operating states of an elevator at predetermined intervals.

[0002]

2. Description of the Related Art When various building equipment installed in a building, such as an elevator, breaks down, the operation of the elevator is stopped until the maintenance work of a building maintenance company dispatched by the manager finishes the restoration work. Because,
During that time, it will be a great inconvenience to the customer. Therefore, in order to be able to predict the failure in advance before the failure of the elevator and take necessary maintenance measures, a monitoring terminal device attached to each elevator installed in the building and this monitoring terminal device are installed. A failure prediction system for elevators has been already proposed, which is composed of a failure diagnosis device of a monitoring center connected to a terminal device by a communication line.

In this failure prediction system, the monitoring terminal device collects various operation data of the elevator, compares the operation data with an empirically determined judgment value,
When the judgment value is exceeded, this operation data is judged to be abnormal data, and only the abnormal data is transmitted to the monitoring center via the telephone line. Then, the failure diagnosis device of the monitoring center determines and instructs the maintenance work to be performed on the elevator based on the operation data received from the monitoring terminal device. In order to determine the above-mentioned judgment value, for example, when it is the time to judge the brake characteristics of the elevator, the critical value obtained empirically based on the temporal transition of the collected operation data is used. When the determination value is used to determine the opening / closing characteristics of the elevator door, the determination value is a value obtained by adding a predetermined correction value to the initial characteristic value at the beginning of operation of the elevator.

[0004]

In the above-mentioned prior art, since the judgment value referred to when judging abnormal data is empirically determined based on the collected operation data, the judgment value is Since a lot of accumulated information and data from experienced engineers must be analyzed when setting, it took a lot of time and effort. In addition, as described above, the operation data transmitted from the monitoring terminal device attached to each elevator to the failure diagnosis device at the monitoring center is:
Only the data determined by the monitoring terminal device to be abnormal data will be sent, and normal operation data will not be sent. Therefore, the operation data that can be collected at the monitoring center side will be extremely limited, so set a judgment value. It is necessary to collect operation data for a long time in advance at the installation location of the elevator, and new data collection means must be installed at the installation location of the elevator to collect data for a long time.

In particular, when setting the judgment value when judging the brake characteristics of the elevator, it is necessary to consider the characteristic fluctuation due to an external factor that fluctuates for a long period of time, such as a change in the ambient temperature. It is indispensable to collect operation data in advance over a long period of time. The present invention has been made to solve the above problems in the prior art, and it is provided with a means for collecting the operating characteristics of the elevator separately, or when setting a judgment value, secular change or external environment. An elevator that does not require empirical accumulation to take into account changes such as changes, and can determine the sign of an elevator failure simply by collecting operation data from the measurement means that is usually provided to measure elevator operation characteristics. It is an object of the present invention to provide a diagnostic device for.

[0006]

In order to solve the above-mentioned problems, the present invention provides a measurement data storage means for storing operation data obtained by measuring various operation states of an elevator every predetermined period, and the measurement data storage means. A data collection amount determination means for determining whether or not a predetermined amount of operation data is stored in the data storage means, and when the data collection amount determination means determines that a predetermined amount of operation data is stored in the measurement data storage means, Of the plurality of operation data stored in the measurement data storage means, a calculation means for calculating the average value or the standard deviation value, a calculated value storage means for storing the average value or the standard deviation value, and the data collection amount determination means. The average value or the standard deviation value and the average value calculated this time, which are calculated based on the operation data collected last time according to the determination result and are stored in the calculated value storage means. Or a subtraction means for calculating an average value difference or a standard deviation value difference, which is a respective difference from the standard deviation value, and the average value difference or the standard deviation value difference of the operation data calculated by the subtraction means. The elevator has a failure sign diagnostic means for comparing the average value difference or the standard deviation value difference of operation data of a standard elevator of the same type as an elevator to determine whether there is a sign of failure of the elevator. .

[0007]

The measurement data storage means stores operation data obtained by measuring various operation states of the elevator at predetermined intervals. The data collection amount determination means determines whether or not a predetermined amount of operation data is stored in the measurement data storage means. Then, when the data collection amount determination means determines that a predetermined amount of operation data is stored in the measurement data storage means, the calculation means calculates the average value or standard deviation value of the plurality of operation data stored in the measurement data storage means. To do. The subtracting means is operated based on the operation data collected last time according to the determination result of the data collection amount determining means, and the average value or the standard deviation value of the plurality of operation data stored in the operation value storage means is calculated this time. An average value difference or a standard deviation value difference, which is a difference from the average value or the standard deviation value, is calculated. The failure sign diagnosing means is the average value difference or the standard deviation value difference of the operation data calculated by the subtracting means and the average value difference or the standard deviation value difference of the operation data of a standard elevator of the same type as the elevator. Are compared to determine whether there is a sign of failure of the elevator.

[0008]

Embodiment An embodiment of the present invention will be described in detail below with reference to the drawings. FIG. 1 is a block diagram showing the configuration of an embodiment of the present invention. In the figure, 1 is a monitoring terminal device attached to the elevator 3, 2 is a failure diagnosis device 1a, ... 1n installed in a remote monitoring center and connected to the monitoring terminal device 1 for communication. It is another monitoring terminal device attached to another elevator and communicatively connected to the failure diagnosis device 2 together with the monitoring terminal device 1. In the internal configuration of each device, 10 is a data measurement unit that measures various operation data of the elevator 3, 111 is a data division comparison unit that divides the operation data by type and evaluation range, and 112 is a data division comparison unit 111. A storage unit (measurement data storage unit) for storing the operation data by type and evaluation range, 11 has a built-in data division comparison unit 111 and storage unit 112, and allows various operation data measured by the data measurement unit 10. A data storage unit (data collection amount determination unit) 12 for determining whether or not it is within the range, 12 is an average value and a type for each of them based on the operation data read from the storage unit 112 for each predetermined collection amount. A calculation unit (calculation unit, subtraction unit) for calculating a standard deviation value, 131 is an average value for each model transmitted from the failure diagnosis device 2 via a communication line. Judgment value storage unit for storing an expression by average standard deviation value, 132
Is a storage unit (calculated value storage unit) that stores the average value and the standard deviation value calculated by the calculation unit 12, and 133 is the judgment value storage unit 1.
31 and a comparing unit (fault sign diagnostic means) for appropriately reading and comparing the type-specific average value and the model-type average standard deviation value and the average value and standard deviation value stored in the storage unit 132, and 13 is a determination value storage unit A comparison / determination unit that includes a 131, a storage unit 132, and a comparison unit 133, 14 is an elevator model storage unit that stores model information of the elevator 3, 15
Is the average value and standard deviation value calculated by the calculation unit 12, and the elevator 3 read from the elevator model storage unit 14.
Is a communication control unit that controls the transmission and reception of the model information and the data of the average value by model and the average standard deviation value by model from the failure diagnosis device 2 to and from the failure diagnosis device 2.

Further, 21 is a monitoring terminal device 1, 1a,
..., the same model elevator selection unit 221 that selects the same model elevator from the model information transmitted from 1n is the same model from the average value and standard deviation value of the same model elevator selected by the same model elevator selection unit 21. Calculation unit for each type that calculates an average value and an average standard deviation value by type, 22
Is a judgment value generation unit that generates the data from the type-specific average value calculated by the type-specific calculation unit 221 and the type-specific average standard deviation value. Reference numeral 23 represents the data between the monitoring terminal devices 1, 1a, ..., 1n. It is a communication control unit that controls transmission and reception.

The operation of this embodiment having such a configuration will be described below. 2 and 3 are flowcharts of the failure sign diagnosis processing. The operation of this embodiment will be described with reference to these drawings. First, the data storage unit 11 fetches various operation data P of the elevator 3 measured by the data measurement unit 10 every predetermined period (S0). In the data storage unit 11, as described above, the operation data is divided by the data division comparison unit 111 by type and evaluation range and stored in the storage unit 112. Therefore, in step S1, the data storage unit 11 stores the data collection amount m of the operation data P stored in the storage unit 112.
Determines whether or not the specified collection amount M has been reached. If the judgment result is No, that is, if the data collection amount m of the motion data P is insufficient, it is judged whether or not the motion data P previously fetched is larger than the allowable maximum value P _max (S2). .
If the determination result is No, it is further determined whether or not this operation data P is less than or equal to the allowable minimum value P _min (S3). Step S
If the result of the determination in step 2 or step S3 is Yes, that is, if the operation data P exceeds the data allowable range A _p , this operation data P is transferred as abnormal data to the failure diagnosis device 2 via the communication line. (S4). If the determination result of step S3 is No, that is, if the motion data P is within the data allowable range A _p , the motion data P is divided by the data division comparison unit 111 by type and evaluation range (S).
5). In this embodiment, the data allowable range A _p is equally divided into N evaluation ranges A _d , and the data division comparison unit 111
Determines to which evaluation range A _{d the} motion data P belongs. That is, the value of the evaluation range number K is increased step by step,
The operation data P is expressed by the following equation [(K-1) × (P _max −P _min ) / N] + P _min <
The determination as to whether P and P ≦ K × (P _max −P _min ) / N + P _min are satisfied is repeated. When the allowable range A _p to which the motion data P belongs is found, the value of the number of data D _K of the evaluation range number K is incremented by 1 and stored in the storage unit 112 together with the value of the motion data P (S6). After that, step S0
Then, the operation data P is newly fetched.

If the result of the determination in step S1 is Yes, that is, if the data collection amount m of the operation data P stored in the storage unit 112 has reached the specified collection amount M, the process proceeds to FIG.
Since the frequency distribution within the data permissible range A _p of the motion data P has been obtained at, the calculation unit 12 reads the number of data D _K of the evaluation range number K stored in the storage unit 112 and calculates the motion data P for each type. The average value μ ₁ and its standard deviation value ε ₁ are calculated (S7). The average value μ ₁ of the operation data P for each type and the standard deviation value ε ₁ thus obtained are stored in the storage unit 132 (S8). Then, the calculation unit 12 reads out the average value μ ₀ and the standard deviation value ε ₀ of the operation data P for each type that was calculated at the time of the previous collection and stored in the storage unit 132 (S9), and at the time of this collection The difference between the average value μ ₁ of the calculated operation data P for each type and its standard deviation value ε ₁ ,
That is, the deviation value difference Dε = ε ₁ −ε ₀ and the average value difference Dμ =
Calculate μ ₁ −μ ₀ . Deviation value difference D obtained by this
ε and the average value difference Dμ are also stored in the storage unit 132 (S1).
0). The communication control unit 15 sends the average value μ ₁ of the operation data P for each type calculated by the calculation unit 12 and its standard deviation value ε ₁ and the model information of the elevator 3 read from the elevator model storage unit 14 to the communication line. Through the failure diagnosis device 2
(S11).

The communication control unit 23 of the failure diagnosis device 2 has an average value μ _1j (j = 1, 1a, ..., 1n) of the operation data P for each type received from the monitoring terminal devices 1, 1a ,. The standard deviation value ε _1j and the model information of each elevator are transferred to the same model elevator selecting unit 21. The same model elevator selection unit 21 selects each data of the elevators of the same model based on the model information of the elevator and transfers it to the determination value generation unit 22. Type-specific operation unit 22 of the judgment value generation unit 22
1 is the average value μ _1l of the operation data P for each type of elevator of the same type selected by the same type elevator selection unit 21 and its standard deviation value ε _1l , that is, their average value, that is, the average standard deviation value for each type <ε _1l > and an average value <μ _1l > by model are calculated (S12). The average standard deviation value <ε _1l > for each model and the average value <μ _1l > for each model calculated in this way are used as the judgment value generation unit 2
The data is stored in the storage unit 2 (not shown) (S13). next,
The judgment value generation unit 22 reads the type-specific average standard deviation value <ε _1l >'and the type-specific average value <μ _1l >' calculated at the time of the previous collection from the built-in storage unit (S14), and at the time of this collection The difference between the calculated average standard deviation value <ε _1l > by model and the average value <μ _1l > by model, that is, the difference in average deviation value by model <Dε
_l > = <ε _1l > − <ε _1l > ′ and model-specific mean difference <D
_{μ l> = <μ 1l>} - computing a _{<μ 1l>'(S15)} .
Thus by a mean deviation value difference the type obtained <D [epsilon] _l> and type-specific average difference <d [mu] _l> is the elevator same type via the communication line from the communication control unit 23 as the data decision value monitoring terminal device 1 , 1i, ... (S16).

These data are transferred to the comparison / determination unit 13 via the communication control unit 15 of the elevator 3. The comparison / determination unit 13 causes the determination value storage unit 131 to store the model-specific average deviation value difference <Dε _l > and the model-specific average value difference <Dμ _l > transmitted from the failure diagnosis device 2. Then, the deviation value difference Dε and the average value difference Dμ of the operation data P for each type stored in the storage unit 132 are read. The comparison unit 133 is the failure diagnosis device 2
Difference in average deviation value <D of type of operation data P transmitted from
epsilon _l> and type-specific average difference <Dμ _l>, each product Mε = Dε × storage unit 132 reads the deviation value difference from D [epsilon] and the average value difference Dμ <Dε _l> and the product Mμ = Dμ × <Dμ _l
> Calculates the (S17), the product Mε = Dε × <Dε _l> and the product m.mu. = d [mu] × examine the sign of <d [mu] _l> to determine negative or not (S18). If the result is Yes, that is,
The average value μ ₁ of the operation data P of the elevator 3 and its standard deviation value ε _1, and the average value μ _1l of the operation data P of all elevators of the same type and its standard deviation value ε _1l , that is, by type Average standard deviation <ε _1l > and average by model <
If the tendency that μ _1l > changes is different, elevator 3
Determines that there is a sign of failure, and the communication control unit 1
The failure diagnosis device 2 is notified via 5 (S19). If the determination result in step S18 is No, the elevator 3 determines that there is no sign of failure, and ends the failure sign diagnosis process (S20). In general, it is empirically known that characteristic changes due to changes in the operating data of elevators of the same type with age, deterioration in use, and changes in the surrounding environment such as temperature show the same tendency. It is determined whether or not the elevator has a sign of failure by comparing the average value of the operation data and the standard deviation value of the elevators of the same type with each other to determine whether they show different tendencies. be able to. In this embodiment, the failure sign diagnosis of the elevator 3 is performed by the monitoring terminal device 1 attached to the elevator 3, but the comparison terminal data is sent from the monitoring terminal device 1 to the failure diagnosing device 2 side to detect the failure. The diagnosis device 2 may perform the failure sign diagnosis of the elevator 3.

[0014]

As described above, according to the first aspect of the invention, when it is determined that a predetermined amount of motion data is stored in the measurement data storage means, the average value or standard deviation value of a plurality of motion data is calculated. Calculate and calculate the average value difference or standard deviation value difference, which is the difference between the average value or standard deviation value calculated based on the previously collected motion data and the average value or standard deviation value calculated this time. Then, by comparing the average value difference or standard deviation value difference of the operation data with the average value difference or standard deviation value difference of the operation data of a standard elevator of the same type as the elevator, a sign of failure of the elevator is indicated. Since the presence or absence of the elevator is determined, it is necessary to separately provide a means for collecting the operating characteristics of the elevator, and to set the determination value, it is necessary to change due to aging or external environmental changes. It is not necessary empirical accumulation for consideration can determine sign of elevator failure simply by collecting operational data from the normal equipped are measuring means for measuring the operating characteristics of the elevator. According to the invention of claim 2, the average value difference or standard deviation value difference of the operation data of the elevator and the average value difference or standard deviation value difference of the operation data of standard elevators of the same type as the elevator, respectively. Since the presence / absence of a sign of failure of the elevator is determined by the sign of the product, the operation of the failure sign determination is extremely simple, and therefore the failure sign diagnostic means can be configured in a small size and at low cost. According to the invention as set forth in claim 3, the average value difference or the standard deviation value difference of the operation data of the standard elevator of the same type as the elevator is transmitted through the diagnostic device and the communication line of the plurality of elevators of the same type as the elevator. Since the average value difference or the standard deviation value difference of the operation data transmitted to the central diagnostic device connected by communication is set as the average value of the difference, the standard elevator operating data of the same model as the elevator concerned is transmitted to the central diagnostic device. Since the operation data measured and transmitted by the elevator measuring means can be used, the average value difference or standard deviation value difference of the desired operation data can be obtained only by collecting the operation data routinely transmitted to the central diagnostic equipment. Can be obtained.

[Brief description of drawings]

FIG. 1 is a block diagram showing a configuration of an embodiment of the present invention.

[Fig. 2] Flow chart of failure sign diagnosis processing

FIG. 3 is a flowchart of a failure sign diagnosis process subsequent to FIG.

[Explanation of symbols]

 1, 1a, ..., 1n Monitoring terminal device 2 Failure diagnosis device 10 Data measurement unit 11 Data storage unit 12 Calculation unit 13 Comparison determination unit 15, 23 Communication control unit 21 Same type elevator selection unit 22 Judgment value generation unit 111 Data classification comparison Part 112 Storage part 132 Storage part 133 Comparison part 221 Type-specific operation part

 ─────────────────────────────────────────────────── ─── Continued Front Page (72) Inventor Takaaki Oka 1-6 Kandanishikicho, Chiyoda-ku, Tokyo Within Hitachi Building System Service Co., Ltd. (72) Kenji Kono 1-6 Kandanishikicho, Chiyoda-ku, Tokyo Shares Inside the Hitachi Building System Service

Claims (3)

[Claims] 1. An elevator diagnosing device for diagnosing the elevator based on the operating data obtained by measuring various operating states of the elevator at predetermined intervals, and measuring data for storing the operating data. Storage means, a data collection amount determination means for determining whether or not a predetermined amount of the operation data is stored in the measurement data storage means, and the data collection amount determination means for storing a predetermined amount of the operation in the measurement data storage means When it is determined that the data has been stored, a calculation unit that calculates an average value or a standard deviation value of the plurality of operation data stored in the measurement data storage unit, and a calculation value that stores the average value or the standard deviation value. The storage means and the calculated value storage means that is operated based on the operation data collected last time according to the determination result of the data collection amount determination means. Subtraction means for calculating an average value difference or a standard deviation value difference, which is a difference between the average value or the standard deviation value stored in and the currently calculated average value or the standard deviation value, and the subtraction means. Comparing the average value difference or standard deviation value difference of the operation data calculated by means with the average value difference or the standard deviation value difference of the operation data of the standard elevator of the same type as the elevator, An elevator diagnosing device comprising a failure symptom diagnosing means for judging whether or not there is a symptom of an elevator failure. 2. The failure sign diagnosing means includes a difference between an average value or a standard deviation value of operation data of the elevator and a difference between an average value or a standard deviation value of the operation data of a standard elevator of the same type as the elevator. 2. The elevator diagnostic apparatus according to claim 1, wherein the sign of each product is used to determine whether there is a sign of failure of the elevator. 3. An average value difference or a standard deviation value difference in operation data of a standard elevator of the same type as the elevator is communicatively connected to a diagnostic device of a plurality of elevators of the same type as the elevator via a communication line. 2. The elevator diagnostic device according to claim 1, wherein the elevator diagnostic device is an average value difference of the operation data transmitted to the central diagnostic device or an average value of standard deviation value differences.