JPS58172172A - Recording system of traffic quantity among stair of elevator - Google Patents

Abstract

(57) [Summary] This bulletin contains application data before electronic filing, so abstract data is not recorded.

Description

DETAILED DESCRIPTION OF THE INVENTION The present invention is a highly practical method for measuring inter-floor traffic in an elevator, which can fully automatically measure the traffic volume between floors in an elevator, record it, and use it to control and manage the operation of the elevator itself. Concerning quantity recording method.

[Technical background of the invention and its problems] Statistical regularity is often observed in elevator traffic demand. The above regularity tends to occur at irregular times of the day, such as when dispatched to an office building, during lunch breaks, and when leaving work. The pattern repeats. For example, if we examine the number of people moving per hour using an elevator from the floor where the entrance is located to the floor where the workplace is located, we will see a pattern as schematically shown in FIG. 1 in relation to time. Therefore, if you keep a record of how many people move from what floor to what floor at what time using the elevator every day, and find the regularity, you can predict all the fluctuations in traffic demand for the elevator and operate the elevator effectively. It becomes possible to manage. In other words, if we manage and control elevator operations by discovering the above regularity and predicting fluctuations in traffic demand, we can rationally allocate elevator cages to respond to hall calls from multiple floors, thereby increasing efficiency. This will enable good elevator operation and smooth passenger transportation.

However, in the past, all information such as the weight of passengers inside the elevator (load inside the car), departure floor, car call, hall call, and current time was directly detected, and after being registered and stored in all magnetic tape devices, etc., a large calculator? Using this system, we can predict exactly how many people moved from what floor to what floor at what time. Based on this estimation result, the pattern of change in demand is estimated and fed back to the elevator operation management control.

1. However, collecting such data requires a great deal of time, effort, and expense over several days to several months. And 1
The amount of data obtained through daily observations is enormous, and the process of accumulating and analyzing it is extremely complex and difficult.

Furthermore, it is virtually impossible to conduct the above-mentioned traffic volume survey frequently and over a long period of time, and even if the fluctuation pattern changes due to seasonal factors or changes in office hours, it is difficult to promptly correct the fluctuation pattern. It was not possible to detect this and reflect it in elevator operation management control.

[Object of the Invention] The present invention has been made taking all of the above circumstances into consideration, and its purpose is to measure the traffic volume between floors of elevators over a long period of time, organize the information, and analyze it effectively. The object of the present invention is to provide a highly practical inter-floor traffic recording system for elevators that can be recorded and effectively used for elevator operation management control.

[Summary of the Invention] The present invention provides an inter-floor traffic cover for the passengers based on position information of the elevator car, car call registration information by passengers boarding the elevator car, and information on at least the number of passengers or the number of passengers getting off the elevator car. The measured inter-floor traffic volume is condensed and recorded for each section consisting of the departure floor and arrival floor.

[Effects of the Invention] Therefore, according to the present invention, the traffic volume between floors is easily and accurately measured over a long period of time, and this is organized by shear force and then condensed and recorded, thereby reducing the amount of information. As shown in FIG. 9, it is possible to accurately grasp all regular patterns of traffic demand fluctuations and effectively utilize them for elevator operation management control.

[Embodiment of the Invention] Hereinafter, an embodiment of the present invention will be described with reference to all the drawings.

Fig. 2 is a schematic configuration diagram of an embodiment of the device to which the method of the present invention is applied, in which 1 is a small computer that takes charge of elevator operation management control, and 2 is a computer that measures the traffic volume between elevator floors using this computer 1. Inter-floor traffic measurement device, 3 is an external storage device such as a magnetic tape device, 4 is time (time) such as current time information, etc.
5- It is a clock device that generates all signals. The computer 1 generally includes a control device 5 that executes arithmetic processing and various control processes, an internal memory 7 connected to the control device 5 via a connection 6, and the computer 1 and the measurement device 2, etc. It is composed of a buffer device 8 and the like that transmits and receives data to and from an external device.

The inter-floor traffic measurement device 2 is realized by adopting various measurement methods, but basically, it uses, for example, the position information of the elevator car, the car call registration information by the passenger of the elevator car, and the elevator car. From the information on the number of passengers or the number of passengers getting off, which is obtained by converting the change in the car load into weight, the inter-floor traffic volume is determined for each shear force between the departure and arrival floors of the elevator car. This inter-floor traffic volume for each shear force is calculated based on, for example, the reliable inter-floor traffic volume determined from the above information and the probabilistic estimated distribution of the remaining undetermined number of people. The processing is performed by the computer 1.

6-The information obtained by this inter-floor traffic measurement device 2 is, for example, in a data format as shown in FIG. .

However, this information transfer between floors and traffic may be performed frequently each time there are no passengers in the elevator section.
Alternatively, it goes without saying that the process may be performed each time a certain amount of information is accumulated. The data format shown in Fig. 3 is a total set of departure floor l, arrival floor j, time t1 when a hall call or car call occurs, and the number of people transported from departure floor l to arrival floor j, and this is expressed as a binary number. The data is expressed in chronological order, and the data is constructed by inserting all the end data indicated by diagonal lines in the figure at the end of these series of data. When transferring this data, the computer 1 outputs a data request signal (RKQ) ffi to the measuring device 2, and after receiving this signal and completing the data transfer, the AC
Practically speaking, it is preferable to perform known data reception control by issuing a K signal or the like to ensure data transfer.

Now, the internal memory 7 of the computer I is made up of, for example, a random access memory (RAM), and a data structure area as shown in FIG. 4 is prepared in the memory 7. Data retrieval and updating of inter-floor traffic volume, which will be described below, is performed by manipulating the data structure shown in FIG. 4 above. Therefore, for example, a data area having a one-dimensional array structure of X%3'%Z given as elements of 1 word and 16 bits each has an address XOz'jOX
The addresses start from zO, and these addresses correspond to each other. Data area X consists of departure floor l and arrival floor j.
Information regarding the shear force 1j determined by and the time t
The above shear force 1 is stored by a ring of pointers that returns to the Ath element of
j is expressed, and information on the above-mentioned time t is given as another element. In addition, data area y stores predicted value data of the average number of people moving during the time period corresponding to the pointer element X (11). information regarding the traffic demand pattern that the vehicle has.

In the data area 2, new empirical information to be described later for updating the knowledge C information (represented by x1y) is stored.

By the way, the floor pair (shear force) indicated by the above pointer ring is expressed as follows.

That is, this is done by assigning a series of numbers to all the floors serviced by the elevator. For example, if there are seven floors from the 1st to the 5th floor, and the inter-floor traffic volume is to be measured for all of them, for example, Figure 5 (a)
As shown in , for the floor pair (1, j), the number h(
h=1.2.3~20) Add i. Note that the order of numbering is not particularly limited, since it is sufficient that there is a one-to-one correspondence between this number and the floor pair (1, j). If the traffic volume is extremely small and there are floor pairs that can be ignored, those floor pairs can be removed from the pointer ring as shown in Figure 5(b). The numbering may be done in gold as shown in the figure. Note that in the following explanation, the number of service floors will be referred to as the number of service floors, as the explanation becomes more complicated as the number of floors increases.
'3'', and numbering is done as shown in FIG. 5(c).

A data area of X shown in FIG. 4 is divided and added corresponding to the pointer h added in this way. Specifically, if an elevator that continues on the third floor collects all data in four time periods as shown in Fig. 6, h = 1.2.3.4.5.6, and The data structure of X when the data amount A is 124 words is shown in FIG. Then, one area delimited by the pointer corresponds to one floor pair. In this example, X+51, x(6), x(7) is the floor pair h=
Corresponds to 2.

Therefore, in order to add up the area corresponding to the floor pair of feet consisting of the pointer number position This is done by counting the For example, the area corresponding to the floor pair h=2 is added as the area corresponding to the next pointer position F8 indicated by the pointer indicated at t=4, which is the first point transmitted from x((translation).

As a result, the above is changed from the next word of 25 to the address x(5) of X corresponding to the second pointer position Ht28.
x(8) will be shown as an area where the number of floors is h=2. Generally, the area corresponding to h is indicated as starting from X, from the next word that has been passed through the pointer 1 (h-1) times, to the word that has been passed through the pointer h-th time. Become.

Furthermore, the data t1 shown in FIG. 7 is from time 0 to time t.
The time [OX tt ''k until the value reaches 1 is shown, and information regarding that time is given as data yh□, zhl.

In addition, data, t2 is time C+-1, t2]'Jf: Furthermore, data t3 is time [t2, t3], and information regarding these times is data yh□, "hz, yZ3, z.
Given as h3. Furthermore, data yh4 and zh4 are the time [t3
, T]. Note that this time T does not necessarily need to be set to midnight. Furthermore, the connection of pointers in the data structure shown in FIG. 7 is as schematically shown in FIG. 8.

As mentioned above, regarding X, the connection relationship is added by the pointer, and by this, the data areas of y and Z are respectively specified. In the area y, information on the amount of elevator traffic expected to move at that time regarding the positive pressure pair is stored, and in the area that is also specified, information on the amount of elevator traffic actually operated under the same conditions as above is stored. The amount of money transferred using the device is stored. Therefore, the flow rate measured by the floor flow measuring device 2 is:
The information will be condensed by shear force and organized and recorded by time zone.

Next, the processing operation of the method of the present invention will be explained.

FIG. 9 shows the control flow of the elevator by the computer 1, and the information recording processing routine is incorporated into this main control routine. That is, when the control program is started, first, the elevator control procedure is initialized in Stella flll, and then, in the next step 12, the data structure shown in FIG. 4 is initialized. After that, step through all 13 repeat points.

The processing routine for connecting the secondary side of the elevator, indicated by step 14.15.16, is repeatedly executed. Now, the control routine of the present method incorporated in such a processing routine first enters the Stella f17 to refer to the manual buffer, and the determination unit 18 determines the first word of the manual buffer. This determination checks whether new floor or flow measurement data have been provided by the floor or flow measurement device 2. If the new data is present, the process jumps to subroutine 19, and a process 13- is performed in which all the data are registered in the data array 2 shown in FIG. The presence or absence of this new data is checked by referring to all the information in the input cover 7a 8 connected to the interfloor or flow measuring device 2.

Thereafter, the determination unit 20 determines whether or not there is a prediction request to predict how much conversion demand will be required for a pair of floors at the same time in the elevator control procedure. In response to this prediction request, necessary information is retrieved from the data structure shown in FIG. 4 in the subroutine 21, and a prediction calculation to be described later is executed. After this prediction calculation is performed, or if there is no prediction request, the control procedure shown in step 16 is performed, and then the determination unit 22 determines whether or not it is okay to update the data. If data can be updated based on this determination, subroutine 23
In this step, the data structure update procedure shown in FIG. 4 is performed. This data update is performed by changing the contents of array X%3' based on all the new data registered in array 2 in the data structure shown in FIG.

The above is a general data processing procedure in this method.

Now, the initialization of the data structure shown in step 12 is as follows:
For example, this is carried out as shown in FIG. This initialization is performed by setting all the contents of the array XX 1% 'L to "0". First, in step 25, the value of t is set to 1#, and then in steps 26 and 27, the above The values of '/VJ'' (/D specified by the value of t are set to PA0# respectively.Then, the determination unit 28 determines whether the value of t has reached the value of the magnitude A or not. Then, in step 29, the value of t is incremented and this is repeated all the time.As a result, all the contents of the data structure shown in FIG. 4 are set to "'0", and its initialization is completed.

In this state, if the first word of the data stored in the input buffer 8 is read in step 'I2, if there is no new data in the input buffer 8, the end signal of the previous data, e.g. END OF F'IL
Since E remains, it is determined whether new data exists.

However, this end signal is given after the last data when the inter-floor traffic measuring device 2 outputs new data and sequentially stores them in the manual buffer 8.

Now, the data registration shown in subroutine 19 is the first
This is carried out according to the routine shown in Figure 1. That is, first, in step 32, the first four words im from the input buffer 8 are
Read each of X jmX tmX km. Next, in step 33, after searching for the number corresponding to the floor pair (i
search. Since the process of finding this 2 SEQ ID number box k is somewhat complicated, this will be explained later in the 12th section.
This will be explained with reference to the figures. Thereafter, in step 35, the number of moving persons ki is added to the area z (box) specified by the 'box, and then the contents of the input cover F8 are shifted to the left by four words. This processing by the processor 36 prepares the input buffer 8 to receive the next new data.

When all the data for that time has been processed, the enP-of-file signal remains in the input buffer 8.

Now, in the processing routine shown in FIG. 12, the heading of the box is performed as follows. First step 38
At , it is determined whether the floor-to-floor code corresponds to the elevator to be controlled. If it is not the target, the values p=Q and q=A are set through steps 39 and 40, and the process moves to the next step. In addition, if the target is the one indicated by the number, the routine shown in steps 41 to 47 performs the work of tracing the lines shown in FIG. 4. That is, step 4
1X 42.43, p is set to 0", qK" The current position, p is the value of the previous 17-, and r is the value indicating how many times the above q has been changed starting from the initial position X(A), that is, the number of times the pointer has been moved. The determination unit 44 then determines all the values of r defined above, and executes all of the pointer traversals.

The routines of Stella f45 to f47 are all driven until the number of times the pointer is traced reaches its maximum value. In steps 45 to 47, the value of q is set to the content of p, and x(q) is set to the content of q. Then r
By incrementing the value of and repeating this process, the pointer position will be sequentially traced by the pointer. By repeating this processing routine h times, the data area corresponding to each floor pair is determined. Then, by executing step 48,
1" is added to the value of p to find the starting point p and ending point q of the region. For example, in the example shown in FIG. 8, if it is given as h22,
The values p=5 and q28 will be found, respectively.

Thereafter, in the next step 49, it is determined whether the value of p is q. If pq is determined, the data area corresponding to each floor pair is only one word, so in step 50, the value of box is determined as p2q. Further, if the determination result p''q is not obtained, the next determination unit 5 determines whether the value of p is smaller than q. If not, this is regarded as an abnormal situation, and appropriate appeal processing, such as setting an abnormality flag, is performed in step 52.

Now, when the above-mentioned condition p<q is satisfied, the following conditions are sequentially checked in the determination sections 53, 54, and 55. That is, first, in the determination section 53, 0≦t≦x
A conditional determination is made that +pl, . If the above condition is not satisfied, the determining unit 54 makes a conditional determination that X< q -1) and t<'r, and when this condition is satisfied, the value of box is q in step 57. It is confirmed as However, if the above conditions are not met, then the determination unit 55 makes a condition determination of X or <t<xtq-1), and if this condition is also not met, this is determined to be abnormal. The abnormality flag processing in step 52 is performed.

Next, in the judgment unit 55, if the condition is satisfied, in step 58, the value of the box 'e(p1i) is initially set, and in the judgment unit 59.60, p <
box < q and "(box-1)≦t<x(b
ox), and in step 6 the above box
Increment the value of and execute this repeatedly to obtain the above b.
Determine the value of ox. Through such a processing routine, the array number box with the information number at time t for the floor pair
The value of will be found and determined. Then, the processing of steps 35 and 36 shown in FIG.
This will be followed up.

Next, the determination of the prediction request in step 20 shown in FIG. 9 is performed as follows. This determination is carried out by two determination steps f6 in FIG.
As shown in 2.63, h-0 and at the same time t
A determination is made as to whether the number is 20 or not. Then, when the above two conditions are simultaneously satisfied, when the value of the thumb 5h and the value of t are both O, it is determined that there is no prediction request. Further, if any value of hXt is not 0, it is determined that there is a Kaneko measurement request.

In the routine shown in step 21 in which processing is executed in response to such a prediction request, the predicted value is calculated as shown in FIG. That is, in this routine, first, in step 6a, the values of pXboxXq determined as described above are respectively taken in.

Thereafter, the determination units 65 to 68 determine the psbo%21- A comparison of the values of q is performed. This comparison is as follows: ・P. above.

This is done by comparing whether the values of bOXsq are equal or what their magnitude relationship is. If this comparison condition is not satisfied, abnormality flag processing is performed in step 69.

Specifically, first, in step 65, p=box=q
A determination will be made. Then, when this condition is satisfied, the predicted value Wev is calculated as Wev:y(box)/T in step 7o. This predicted value Wev has the meaning of being a predicted value of the average number of people moving per unit time at time t for each floor pair. Further, if the condition determined by the determination unit 65 is not satisfied, then the determination unit 66 determines that p = bo
x (q) condition is determined. Then, if this condition is satisfied, in step 71, the predicted value described above is obtained by the calculation process Wev=3'(box)/''(box) 22- Furthermore, if each of these conditions is not satisfied, then the determination unit 62 determines p (box = q
A conditional judgment is made. If this condition is satisfied, in Stella 7'72, Wev=5'(box)/(x(box)''(box
x-1)], the predicted value is calculated. Further, if this condition is not satisfied, the determining unit 68 performs the condition p(box=q), and when this condition is satisfied, in step 73, the condition is satisfied that We""y(box
)/(T-x (box-11)) to find the predicted value. However, if all of the above conditions are not met, those values are no longer originally generated in the control routine of this method. Since this is not possible, this is determined to be a complete abnormality.

Furthermore, the value of "(box)" used in these predicted value calculations indicates time information. For example, if 8:00 a.m. is the reference time "o", that time, gold, and seconds will be used until 8:00 a.m. the next day. It is expressed in units. In this example, relative time differences from 8 a.m. are given at 9:30, 13:00, and 18:00, respectively. Therefore, step 7 above
The arithmetic expressions shown in 0 to 23 are generally
It will be given as a time period (seconds) corresponding to (box)/box.

Next, data update determination in the routine shown in Figure 9 (
Step 22) and data update routine (Step 23)
) will be explained. A determination as to whether data update is possible is made by considering whether or not the above-described conditions are met. Here, for the purpose of explanation, it is assumed that the demand for recirculating elevators becomes extremely low after a certain time, such as nighttime, and that this state continues for several hours.

Under these assumed conditions, it is possible to determine whether or not the above data update is possible by referring to the current time and determining whether or not that time has passed the predetermined time tok. becomes possible.

Therefore, in this case, for example, as shown in FIG.
First, the determination unit 74 determines whether the current time is changed from time to to time (to
+100). The time range indicated by the above time (to+100)”
100” means Step 23 only once during that 100 seconds.
It was created to execute the update routine shown in , and to eliminate the waste of repetition.

If the above conditions are not met, step 7
At 5, set 1to = '1 in the data flag,
The process moves to the next step without updating the data. Further, if the above conditions are met, the determination unit 76 refers to the value of the data flag,
The process is led to the data update step only when the data flag is 0". In this case, the flag 'k' is set to '1' in step 77, and 1 is set for the time t at which this data update occurs. Controlled to occur only once.

In the data update step 25, which is activated by such a determination, for example, as shown in FIG. 16, the update process is executed by exponential smoothing of the data. That is, first, in the stellar f y s, the value of t is initialized to "1#". Thereafter, while the determination unit 79 judges the value of t, the data update process in steps 80 and 81 is repeatedly executed. In step 8o, the weighting coefficient of the new data relative to the old data is set to a, and data update processing is performed as follows: ys:aXzs+(1-a)Xy+n+.The above coefficient a is in the range of 0≦a≦1. is given arbitrarily, and a = O is a special condition when new data is ignored, and a = 1 is a special condition when old data is ignored.

After this process is executed corresponding to the given t, the value of t is incremented in step 8, and y is incremented for the entire data area from t=1 to t2A. The value will be updated.

As described above in the data recording processing operation according to the present invention, according to the present invention, the elevator transformation demand (traffic volume between floors) can be automatically recorded without using any special sensor information. In addition, the information can be recorded over a long period of time, organized for each floor pair, and then further reduced to record the information. Moreover, since the above-mentioned floor and traffic flow rates are averaged for each time period and the characteristic information is compressed and stored, the memory capacity for storing all of this can be reduced to a large extent, for example, a few kilowords of RAM. It becomes possible to use and accumulate. By the way, when storing measured data as is, as has been done in the past, 1
The amount of information for one day alone reaches about 20 kilowords, and to store this information sequentially over several months requires a huge amount of memory capacity. Moreover, organizing and processing the information becomes extremely complicated, making it extremely impractical. Therefore, it can be said that the recording method according to this method is extremely useful.

In addition, since the data is compressed and recorded as described above, it has great practical effects, such as being able to be used simply and effectively in elevator operation management control.

Note that the present invention is not limited to the above embodiments. For example, although data retrieval from the inter-floor traffic measuring device 2 has been described in all embodiments as being performed periodically, it may also be performed by forced interruption processing.

In addition, data processing and recording was performed using a computer used for elevator operation control, but a dedicated computer 1
It goes without saying that this may be done by using a computer, and it is also possible to use a computer for group management and control of elevators. Furthermore, the type of target elevator, its operating speed, the number of floors served, etc. can be arbitrarily set according to specifications. Further, the time zone classification can also be set arbitrarily; for example, T' may be set to the number of seconds corresponding to one week. In this way, it becomes possible to collect all the data by day of the week and by time zone, and to condense all the data and keep records. In summary, the present invention can be implemented with various modifications without departing from its gist.

[Brief explanation of drawings]

Fig. 1 is a diagram showing an example of the fluctuation pattern of inter-floor and traffic flow caused by elevators, Fig. 2 is a schematic diagram of an embodiment of the apparatus to which the present invention is fully applied, and Figs. Diagrams 9 to 16 showing such data structures and data recording formats
The figure is a diagram showing an example of an information processing control flow according to the present invention. 1... Calculator, 2... Inter-floor traffic measurement device, 11-
81...Processing step. Applicant's agent Patent attorney Takehiko Suzue -29= Figure 1 Time 2F Figure 6 Figure 7 Figure 8 Figure 9 Whistle 9 Figure 13 Figure 14 Figure 15 Figure 16 = 485-

Claims (3)

[Claims] (1) Means for measuring the inter-floor traffic volume of passengers based on the position information of the elevator car, the car call registration information by the passengers who boarded the elevator car, and the information on at least the number of passengers or the number of passengers getting off the elevator car. , a record of the traffic volume between floors of an elevator, characterized in that it is completely equipped with a means for contracting and storing the measured traffic volume between floors for each shear force consisting of a departure floor and an arrival floor of the elevator car. method. (2) The inter-floor traffic recording method for an elevator according to claim 1, wherein the inter-floor traffic recorded and held for each shear force is recorded using a pointer for all of the information for each shear force. . (3) The inter-floor and traffic volume recording method for an elevator according to claim 1, wherein the inter-floor traffic volume by shear force is recorded for each predetermined time period.