JP2011068469A - Elevator control device, monitoring system, searching revitalization program, in/out management system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an elevator control device for informing which floor non-authenticated passengers get off, and to provide a monitoring system using the same, a searching revitalization program, and an in/out management system. <P>SOLUTION: The elevator control device 1 includes a destination floor registering means 11 on which passengers register destination floors, an operation control means 15 for computing the estimated number of passengers to get off each floor from the conditions of registration on the destination floor registering means 11, a measuring means 12 having a weight sensor for measuring a loading weight in an elevator, a getting-off passenger number detecting means 13 for detecting the number of passengers getting off each floor in accordance with the measurement result of the measuring means 12, and an informing means 14 for comparing the estimated number of passengers to get off, computed by the operation control means 15, with the number of passengers getting off, detected by the getting-off passenger number detecting means 13, with respect to each floor where the passengers get off, and for determining that non-authenticated passengers get off the floor when the number of passengers getting off is greater than the estimated number of passengers to get off, to inform an external of the floor where the non-authenticated passengers get off. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to an elevator control device that detects a non-authenticated person and a security system using the same.

  For security reasons, there are elevators that require personal authentication to use. However, there was a physical security hole called “co-accompaniment” where a non-authenticated person subsequently rides after a certified person. On the other hand, Patent Documents 1 to 5 disclose systems that detect non-authenticated persons by comparing the number of certified persons with the actual number of passengers and restrict the operation of the elevator.

Japanese Patent Laid-Open No. 7-237837 JP 2005-263363 A JP 2006-168930 A International Publication No. 2007/034560 International Publication No. 2009/008057

  In the conventional system for detecting non-authenticated persons, when a non-certified person gets into the elevator, the elevator door is kept open and the destination floor cannot be registered, and the elevator is not started, or Crime prevention has been improved with the restriction of delaying the departure of the elevator. Therefore, when a non-authenticated person is detected, there is a problem that passengers on other floors cannot use the elevator or are inconvenienced due to delay in arrival of the elevator. On the other hand, if the elevator starts, the non-authenticated person can move to another floor, but there is no mention of measures against the non-authenticated person who has moved.

  Therefore, in view of the above-described problems, an object of the present invention is to provide an elevator control device that notifies on which floor an unauthenticated person gets off and a security system using the same.

  The elevator control device according to the present invention includes a destination floor registration means for a passenger to register a destination floor, an operation control means for calculating the number of persons to get off at each floor from the registration status in the destination floor registration means, and a load weight in the elevator. Measuring means equipped with a weight sensor to measure, a getting-off number detecting means for detecting the number of people getting off at each floor based on the measurement result of the measuring means, a planned number of getting-off persons calculated by the driving control means and the number of getting-off persons detected by the detecting means When the number of people getting off is higher than the number of people scheduled to get off, it is considered that the non-authenticated person has got off the floor and the floor is used as the non-authenticated person's getting-off floor. And comprising.

  The monitoring system of the present invention is a monitoring system for viewing a captured image in a building. The monitoring system receives an unauthenticated person's disembarking floor from the elevator control device, and the unauthenticated person's disembarking floor is detected from the images on each floor. Call attention to the video. This facilitates identification of non-authenticated persons and improves crime prevention.

  The search / playback program according to the present invention corresponds to a procedure for assigning an ID corresponding to a floor and a time to a recorded video of the monitoring system, and an unauthenticated person's disembarking floor and alighting time received by the monitoring system from the elevator controller. The computer is caused to execute a procedure of extracting and reproducing the video with the assigned ID from the video recorded by the monitoring system. As a result, it is possible to easily reproduce the video in which the non-authenticated person is copied from the getting-off floor and the getting-off time, and it becomes easy to identify the non-authenticated person.

  In addition, the entrance / exit management system that manages the locking of the entrance / exit of each room in the building of the present invention does not permit the unlocking of the entrance / exit of the room on the exit floor when the exit floor of the unauthenticated person is received from the elevator control device. Thereby, a movement of a non-authenticated person can be prevented and crime prevention can be improved.

  The elevator control device of the present invention includes a destination floor registration means for a passenger to register a destination floor, an operation control means for calculating the number of persons to get off on each floor from the registration status in the destination floor registration means, and a load weight in the elevator. Measuring means equipped with a weight sensor to measure, number of people getting off on each floor based on the measurement result of the measuring means, number of people getting off the vehicle calculated by the driving control means and number of people getting off detected When the number of people getting off is higher than the number of people scheduled to get off, it is considered that the non-authenticated person has got off the floor and the floor is used as the non-authenticated person's getting-off floor. And comprising. Since the elevator control device of the present invention detects the unauthenticated passenger's getting-off floor and issues an alarm to an external monitoring system, the crime prevention property of the building is improved. Moreover, even if a non-authenticated person is detected, since the elevator is operated as usual, there is no inconvenience to the user.

  The monitoring system of the present invention is a monitoring system for viewing a captured image in a building. The monitoring system receives an unauthenticated person's disembarking floor from the elevator control device, and the unauthenticated person's disembarking floor is detected from the images on each floor. Call attention to the video. This facilitates identification of non-authenticated persons and improves crime prevention.

  The search / playback program according to the present invention corresponds to a procedure for assigning an ID corresponding to a floor and a time to a recorded video of the monitoring system, and an unauthenticated person's disembarking floor and alighting time received by the monitoring system from the elevator controller. The computer is caused to execute a procedure of extracting and reproducing the video with the assigned ID from the video recorded by the monitoring system. As a result, it is possible to easily reproduce the video in which the non-authenticated person is copied from the getting-off floor and the getting-off time, and the non-authenticated person can be easily identified.

  In addition, the entrance / exit management system that manages the locking of the entrance / exit of each room in the building of the present invention does not permit the unlocking of the entrance / exit of the room on the exit floor when the exit floor of the unauthenticated person is received from the elevator control device. Thereby, a movement of a non-authenticated person can be prevented and crime prevention can be improved.

It is a block diagram which shows the structure of the elevator control apparatus of Embodiment 1. 3 is a flowchart illustrating an operation of the elevator control device according to the first embodiment. It is explanatory drawing of a people detection method. It is explanatory drawing of a people detection method. It is explanatory drawing of a people detection method. It is explanatory drawing of a people detection method. It is explanatory drawing of a people detection method. It is explanatory drawing of a people detection method. It is a figure which shows an example of a photoelectric sensor. It is explanatory drawing of a people detection method. It is explanatory drawing of a people detection method. It is explanatory drawing of a people detection method. It is a block diagram which shows the structure of the elevator control apparatus of Embodiment 2. FIG. 6 is a flowchart showing the operation of the elevator control apparatus according to the second embodiment. It is explanatory drawing of an attribute detection method.

(Embodiment 1)
<Configuration>
FIG. 1 is a block diagram showing a configuration of an elevator control apparatus 1 according to the present embodiment. The elevator control device 1 of FIG. 1 includes a destination floor registration unit 11, a measurement unit 12, a passenger number detection unit 13, a notification unit 14, and an operation control unit 15. Among these means, each means other than the destination floor registration means 11 and the measurement means 12 which are hardware is configured by software on a microcomputer.

  The destination floor registration means 11 is composed of a device for registering the destination floor by the passenger of the elevator, and outputs the destination floor of each passenger. The measuring means 12 is composed of a weight sensor installed in the elevator and measures the loaded weight. The number of people getting off detection means 13 calculates the number of people getting off from the elevator on the basis of the measurement result of the measuring means 12 for each floor where the getting off occurs. The reporting means 14 reports that an unauthenticated person gets off to an external system such as a physical security system of a building. The operation control means 15 calculates the expected number of passengers getting off on each floor from the registration status of the destination floor in the destination floor registration means 11.

  That is, the elevator control device 1 according to the first embodiment includes a destination floor registration unit 11 in which a passenger registers a destination floor, and an operation control unit 15 that calculates the number of persons to get off at each floor from the registration status in the destination floor registration unit 11. And a measuring means 12 having a weight sensor for measuring the loaded weight in the elevator, a getting-off number detecting means 13 for detecting the number of getting-off persons on each floor based on the measurement result of the measuring means 12, and a getting-off calculated by the operation control means 15 The planned number of people and the number of people getting off detected by the getting-off number detection means 13 are compared for each floor, and when the number of people getting off is larger than the number of people to get off, it is considered that the non-certified person has got off the floor and the floor is not certified. And a reporting means 14 for reporting to the outside as a person getting off floor. In this way, since the intruder floor of the non-authenticated person is reported to the elevator's external system, the external system can receive the information and take security measures, improving the crime prevention performance and work efficiency of the building . Moreover, even if a non-authenticated person is found, there is no restriction on the operation of the elevator, so that ordinary passengers can use the elevator as usual.

<Operation>
Next, the operation of the number detection device 1 shown in FIG. 1 will be described with reference to FIG. FIG. 2 is a flowchart showing the operation of the elevator control device 1 of the present embodiment.

  First, the passenger uses the destination floor registration means 11 to register the destination floor from the landing in the elevator (step ST101). The destination floor registration means 11 is configured to be able to input the destination floor in the form of, for example, a numeric keypad. All passengers who use the elevator register the destination floor with the destination floor registration means 11. Alternatively, the destination floor registration means 11 may be constituted by an IC tag reader, and all passengers who use the elevator may have the IC tag reader read the IC tag possessed in advance. When the destination floor registration means 11 is an IC tag reader, the destination floor registration means 11 determines the destination floor from the information in the IC tag and registers the destination floor in the elevator control device. An authentication procedure for using an elevator such as registering a destination floor or holding an IC tag is predetermined, and passengers who do not follow these original procedures are treated as non-authenticated persons in this embodiment.

  Note that such an authentication operation does not have to be performed at the landing, and after getting on the elevator, all the members may register the destination floor in the elevator or receive the authentication by holding the IC tag.

  Further, as an authentication method other than the IC tag, for example, authentication is performed based on information such as a face image, a whole body image, a fingerprint, a voice print, a vein, an iris, a password, and the destination floor registration unit 11 determines a destination floor from each information, The destination floor may be registered in the elevator control device.

  Next, the operation control means 15 calculates the number of persons scheduled to get off at each floor from the destination floor of each passenger registered in the destination floor registration means 11 (step ST102). Passengers get on when the elevator arrives (step ST103), and when the elevator arrives at their destination floor, each passenger gets off (step ST104). When alighting occurs, the number of people getting off detecting means 13 calculates the number of people getting off the floor from the measurement result of the measuring means 12 (step ST105).

  And the alerting | reporting means 14 obtains the number of persons who will get off the floor from the operation control means 15, obtains the number of persons getting off the floor from the number of getting-off persons detection means 13, and compares them (step ST106). If the number of people getting off is larger than the number of people who will get off, it will be judged that the person who got off the floor has an uncertified person, and the uncertified person will be in the external system such as the physical security system of the building. It reports that it has entered the floor (step ST107).

<Estimated number of people getting off>
A method for estimating the number of people getting off in step ST105 will be described in detail below. FIG. 3 is a diagram showing an example of a time-series change in the elevator loading weight W (i) measured by the measuring unit 11. The getting-off person detecting unit 13 receives the measurement result from the measuring unit 11. In the figure, the horizontal axis indicates time t (i), and the vertical axis indicates the loaded weight W (i), and shows a case where two people get off the elevator and then two get off. The number of passengers detecting means 13 calculates the change of the loading weight W (i) for each difference interval by the equation (1), and creates time difference data W _diff (i).

Here, Δi represents the difference interval. An example of the time series change of the time difference data W _diff (i) created in this way is shown in FIG. In the figure, the horizontal axis represents time t (i), and the vertical axis represents time difference data W _diff (i). The upwardly convex waveform indicates that the loading weight has increased, meaning that a person has entered the elevator. Conversely, a downwardly convex waveform indicates that the loaded weight has decreased, meaning that a person has got out of the elevator. The thresholds A to F in the figure will be described later.

FIG. 5 shows a time series change of the time difference data W _m (i) of the standard model created from the elevator load weight W (i) when one person gets on. When the time difference of the time difference data W _diff (i) is a downwardly convex waveform indicating that the getting-off person has been detected, the getting-off number detecting means 13 is, for example, a standard model time stored in advance. Scanning in the time axis direction with the difference data W _m (i) being negative, the time series change of the time difference data W _diff (i) and the time series change of the time difference data W _m (i) of the standard model The normalized cross-correlation function z (τ) of Expression (2) representing the similarity is calculated.

Here, τ indicates the amount of deviation from the reference time t (i), W _m (bar) indicates the average of the time difference data W _m (i) of the standard model, and W _diff (bar) is received. The average of the time difference data W _diff (i) is shown. The reference time can be arbitrarily selected, and may be the current t (i), for example. The number of times that the value of the cross-correlation function z (τ) is equal to or greater than the threshold S _overlap held in advance is defined as the number of people getting off. When the time-series change of the time difference data W _diff (i) is an upwardly convex waveform, the number of passengers can be calculated from the same method. In this way, the method for estimating the number of passengers and the number of people getting off using the time difference data W _m (i) of the standard model is referred to as the person estimation method 1.

The number of people getting off the detector 13 may estimate the number of people getting off by the following number of people estimation method 2 different from the number of people estimation method 1. Number That is, in step ST105, alighting persons detection means 13 sets a threshold value in place of zero or more values of the time difference data W _diff (i), the time difference data W _diff (i) is equal to or greater than a threshold value Is the number of passengers. For example, when the threshold value is set at the position C in FIG. 4, the number of times the time difference data W _diff (i) is equal to or greater than the threshold value C is two. presume. On the other hand, a threshold value is set in place with a value of 0 or less of the getting-off number detecting means 13 is the time difference data W _diff (i), and gets off the number of times that the time difference data W _diff (i) is equal to or less than a threshold number To do.

In this number estimating method 2, it is not necessary for the getting-off number detecting means 13 to hold the model waveform W _m (i) in advance like the number estimating method 1, and the similarity with the model waveform W _m (i) is calculated. Therefore, there is an advantage that the amount of computing resources to be used can be reduced.

  Further, the number of passengers detecting means 13 may estimate the number of passengers and the number of people getting off by the number of people estimation method 3 different from the number of people estimation methods 1 and 2.

That is, in step ST105, the number of times a plurality sets a predetermined threshold value greater than or equal to zero, the time difference data W _diff (i) becomes equal to or larger than the threshold value of the getting-off number detecting means 13 is the time difference data W _diff (i) Counting is performed for each threshold, and the most frequently counted number is estimated as the number of passengers. Similarly, a plurality of setting a predetermined threshold value less than zero the value of the time difference data W _diff (i), by counting the number of times the time difference data W _diff (i) is equal to or less than the threshold value for each threshold, most Estimate the number of times counted as the number of people getting off.

For example, when the passenger detection unit 13 creates the time difference data W _diff (i) shown in FIG. 4, a plurality of predetermined thresholds such as thresholds A, B, C, D, E, and F shown in the figure are generated. The number of times when the time difference data W _diff (i) is equal to or greater than each threshold is counted as an estimation candidate for the number of passengers. FIG. 6 is a diagram illustrating an example of the count result. The time difference data W _diff (i) shown in FIG. 4 exceeds the threshold A once (one passenger), exceeds the threshold B twice (two), and exceeds the threshold C twice. (2 persons), the threshold D is exceeded twice (2 persons), the threshold E is exceeded 3 times (3 persons), and the threshold F is exceeded 2 times (2 persons). As shown in FIG. 6, since the count value of two estimation candidates for the number of passengers is the largest, 4, the number of passengers detecting means 13 estimates the number of passengers to be two.

On the other hand, also when a passenger gets off, alighting persons detecting means 13 is a plurality sets a predetermined threshold value less than zero the value of the time difference data W _diff (i), the time difference data W _diff (i) is less than or equal to the threshold It is possible to estimate the number of people getting off by counting the number of times the vehicle has become for each threshold.

In this number estimation method 3, the number of persons getting off does not need to hold the model waveform W _m (i) in advance, and it is not necessary to calculate the similarity to the model waveform W _m (i). There is an advantage in that the amount of computing resources is smaller than that of the estimation method 1, and the number of passengers and the number of people getting off can be estimated with higher accuracy than the number of people estimation method 2 that counts the number of people getting off with one threshold.

  Moreover, the number-of-getting-off detection means 13 may estimate the number of passengers and the number of people getting off by the following number-of-people estimation method 4 different from the number-of-people estimation methods 1 to 3. That is, when the passenger passes through the door of the elevator, the number of persons getting off detection means 13 sets the number of times of detection of the photoelectric sensor that detects the passage as the number of passing persons. In this case, it is assumed that the photoelectric sensor is included in the measuring means 11. When one sensing time is short, it is noise, and a restriction by sensing time may be provided so that it is not counted as the number of passing people. The method of detecting the number of passing people in this way is referred to as passing number of people detection method 1.

  The getting-off person detecting means 13 detects the traveling direction of the passenger from the loaded weight W (i). FIG. 7 is a diagram for explaining a method of detecting the traveling direction of the passenger from the loaded weight W (i). FIG. 7A shows a time-series change of the loaded weight W (i), and FIG. Indicates the direction of travel. Focusing on a predetermined period [t (i), t (i−x)] (x is a variable, a natural number) in the graph shown in FIG. 7, the number of persons getting off the detection means 13 is W (i) −W (i When -x) <Y1, the predetermined time [t (i), t (ix)] is detected as getting off from the elevator. Here, Y1 is a predetermined threshold value. The number of persons getting off detection means 13 detects that the vehicle is in the elevator for a predetermined period [t (i), t (ix)] when W (i) -W (ix)> Y2. To do. Here, Y2 is a threshold different from the predetermined Y1. x, Y1, and Y2 are held in advance by the number of people getting off detection means 13. The method of detecting the traveling direction in this way is referred to as a traveling direction detection method 1.

  Then, the number of passengers detecting unit 13 detects the number of passengers and the number of passengers getting on the elevator by associating the obtained passing number and the traveling direction. FIG. 8A shows the detection result of the number of passing people, and FIG. 8B shows the detection result of the traveling direction. As shown in FIG. 8, when the number of passing people is estimated to be one during the period [t (i), t (ix)] that is estimated to be getting off, the number of people getting off during that period is 1 A person. However, since the photoelectric sensor for estimating the number of passing people and the weight sensor for estimating the traveling direction are different in sensor series, there is a time difference between the time series data, and the period [t ( i), t (ix)], the photoelectric sensor does not always detect the number of passing people as one. Therefore, if the direction of travel is unknown during the period in which the number of passing people is detected (hereinafter referred to as “unknown”), the traveling direction is changed by shifting the output time of the passing number of people within a range of ± Z (Z is a natural number). A search is made as to whether or not the direction (hereinafter referred to as “ride”) or the direction of getting off (hereinafter referred to as “down”) coincides. If the result of the search matches "fall", the number of people getting off is output as one. If the traveling direction does not coincide with “ride” or “descend” even if the output time of the passing number of people is shifted within the range of ± Z, the number of boarding people is set to N in accordance with the rules held in advance by the getting-off number detecting means 13. (N is a natural number) and the number of people getting off is output as M (M is a natural number).

  In FIG. 8, when the traveling direction is “not” at the time when the number of passing people is detected, the output time of the passing number is shifted within the range of ± Z, but the output period [t (i), The same effect can be obtained even if t (i−x)] is shifted within the range of ± Z. Here, it is assumed that the variable Z is held by the getting-off person detecting means 13.

In step ST105, when the getting-off number detecting means 13 estimates the number of passengers and getting off by the number-of-people estimation method 4, the getting-off number detecting means 13 detects the passing number of people by the passing number of people detection method 2 different from the passing number of people detection method 1. Also good. FIG. 9 is a diagram illustrating a plurality of photoelectric sensors provided side by side in the vicinity of the door. FIG. 10 is a diagram illustrating a sensing result of the photoelectric sensor. FIG. 10A is a graph showing a time-series change in the sensing result of the photoelectric sensor shown in FIG. 9, where the horizontal axis indicates time and the vertical axis indicates the installation position of the photoelectric sensor. FIG. 10B is a diagram showing a time-series change in the cumulative number of sensing results of the photoelectric sensor 24, with the horizontal axis representing time and the vertical axis representing the sensing result cumulative number. In the figure, the positions detected by the photoelectric sensors are indicated by black dots. When a person passes through the door, a sensing result as shown in FIG. 10A is obtained. Here, a range P _n (n is a natural number) is provided in advance at the installation position of the photoelectric sensor. For example, in the range P ₁ , the passage start condition S ₁ is that N ₁ (N ₁ is a natural number) or more photoelectric sensors are continuously detected M ₁ (M ₁ is a natural number) times. The predetermined ranges P ₁ and P ₂ are not necessarily the same range. The number of passengers detecting means 13 determines that the user has passed between the passage start condition S ₁ and the passage end condition E ₁ being satisfied, and detects the number of passing persons as one.

Further, a range Q _n (n is a natural number) is determined in advance for the cumulative number of sensing results shown in FIG. For example, in the range Q ₁ , the passage start condition S ₂ is that N ₃ (N ₃ is a natural number) or more photoelectric sensors continuously sense M ₃ (M ₃ is a natural number) times. Further, for example, the passage end condition E ₂ is that N ₄ (N ₄ is a natural number) or more sensors are not continuously detected M ₄ (M ₄ is a natural number) times in a predetermined range Q ₂ . The predetermined ranges Q ₁ and Q ₂ are not necessarily the same range. Alighting persons detecting means 13 determines that the user between the filled the passing start condition S ₂ until passage end condition E ₂ is satisfied has passed, to estimate the passing people 1 people with. Either one of the two passage start conditions S ₁ and S ₂ may be applied, or both may be applied. Further, either one of the two passage end conditions E ₁ and E ₂ may be applied, or both may be applied. A method for detecting the number of passing people in this way is referred to as passing number of people detection method 2. It is assumed that P _n , Q _n , N _n (n is a natural number), and M _n (n is a natural number) are held by the getting-off person detecting means 13.

In step ST105, when the getting-off number detecting means 13 estimates the number of passengers or getting off by the number-of-people estimation method 4, the getting-off number detecting means 13 uses the traveling direction detection method 2 different from the traveling direction detection method 1. May be detected. FIG. 11 is a diagram for explaining the traveling direction detection method 2. In the traveling direction detection method 2, the traveling direction is detected from the time difference data W _diff (i) of the loaded weight. FIG. 11A is a graph showing the time series change of the loaded weight W (i) measured by the weight sensor of the measuring means 12, and FIG. 11B is a graph showing the time series change of the loaded weight W (i). It is a graph which shows the time-sequential change of the time difference data _Wdiff (i) calculated. Both the horizontal axes of FIGS. 11A and 11B indicate time t (i). The vertical axis in FIG. 11 (a) indicates the loading weight W (i), and the vertical axis in FIG. 11 (b) indicates the time difference data W _diff (i) of the loading weight W (i). The time difference data W _diff (i) shown in FIG. 11B shows a negative value when the loaded weight decreases, shows a positive value when the loaded weight increases, and shows a zero value when the loaded weight does not change. It has the property of showing. Therefore, it is detected that the vehicle is getting off during the period [t (i), t (i−x)] from when the time difference data W _diff (i) shows a negative value until it shows zero again. . Further, it is detected that the boarding has occurred during the period from when the time difference data W _diff (i) shows a positive value until it shows the zero value again. The method of detecting the traveling direction in this way is referred to as a traveling direction detection method 2.

  Further, when the getting-off person detecting means 13 estimates the number of passengers and getting-off persons by the person-estimating method 4, the getting-off person detecting means 13 detects the traveling direction by the traveling direction detecting method 3 different from the traveling direction detecting methods 1 and 2. May be. FIG. 12 is a plan view showing a state in which two pairs of photoelectric sensors are installed forward and backward with respect to the traveling direction. When the second photoelectric sensor is sensed at time t (i) after sensing the first photoelectric sensor at time t (i-x), the user can detect the period [t (i), t (ix). ], It is detected that the vehicle has advanced from the left to the right as viewed in FIG. When the first photoelectric sensor is sensed after the second photoelectric sensor is sensed, the user detects that the user has progressed from right to left toward the paper surface of FIG. The method of detecting the traveling direction in this way is referred to as a traveling direction detection method 3. However, when the traveling direction is detected by the traveling direction detection method 3, it is necessary to install a plurality of photoelectric sensors before and after the traveling direction.

  FIG. 9 shows a state in which a plurality of photoelectric sensors are arranged in the vicinity of the door, but FIG. 9 is a schematic view for simplifying the explanation. The photoelectric sensor is either on the landing side or on the elevator side. May be installed. The photoelectric sensor is not necessarily installed at a visible position on the landing side or the elevator side. For example, an elevator door is generally configured by a landing door and an elevator door, and the photoelectric sensor may be installed between the landing door and the elevator door. In addition, it is not always necessary to install one photoelectric sensor at each landing. The photoelectric sensor may be attached to an elevator door, and the photoelectric sensor may be moved along with the movement of the elevator so that passengers can be detected on each floor. A photoelectric sensor is generally composed of a light emitting terminal and a light receiving terminal, but the light emitting terminal and the light receiving terminal do not necessarily correspond one-to-one. By emitting the beam at a wide angle on the light emitting side, it is possible to measure a plurality of measurement results with one light emitting terminal and a plurality of light receiving terminals, and the present invention can be implemented even using such a photoelectric sensor. Is possible.

<External system>
Next, an external system using the elevator control device of the present embodiment will be described. As an external system, for example, there is a monitoring system for viewing a video of a monitoring camera in a building. In response to the intrusion of a non-authenticated person, such a monitoring system displays an image of the floor where the non-authenticated person intrudes from the floor on the front of the screen, flashes the image frame of that floor, or makes a sound. Or by telling the intrusion of a non-authenticated person by voice or changing the monitoring screen, the video of the floor where the non-authenticated person gets off stands out, making it easier to identify the non-authenticated person and improving crime prevention To do. It is also possible to take measures such as temporarily increasing the recording density of monitoring images.

  That is, the monitoring system according to the first embodiment is a monitoring system for viewing a captured image in a building, which receives an unauthenticated person's disembarking floor from an elevator control device, and the unauthenticated person's disembarking from the images on each floor. Call attention to the floor image. This facilitates identification of non-authenticated persons and improves crime prevention.

  In addition, the monitoring system receives the unauthenticated person's getting-off floor from the elevator control device 1 and records the non-authenticated person's getting-off floor at high density. This facilitates identification of non-authenticated persons and improves crime prevention.

  In addition, if the monitoring system stores the floor where the unauthenticated person gets off and its occurrence time, it searches for a specific scene from the recorded video of the monitoring system, and reproduces it by specifying the occurrence time of the searched scene. When a search / playback program for a surveillance system is used, it becomes easy to search based on information that a non-authenticated person gets out / get on at that time, and an image showing the non-authenticated person is efficiently searched and displayed. be able to. For example, in the search and reproduction program, an ID corresponding to a floor and time is given to the video recorded by the monitoring system, and the unauthenticated person's getting-off floor received from the reporting means 14 of the elevator control device 1 by the monitoring system and its floor A video with an ID corresponding to the time of occurrence is extracted from the recorded video and played back.

  Further, as another external system, for example, there is a monitoring system that takes an image of an elevator and records a taken image on a recording device. The monitoring system that has received from the alarm means 14 of the elevator control device 1 that the non-authenticated person has alighted / get on the vehicle, saves the time at which the non-certified person got off / boarded together with the image, and later displays a video. A person who gets off or gets on at the time when playing can be specified as a non-authenticated person, which leads to improvement in crime prevention. Alternatively, when using a search / playback program for a monitoring system that searches for a specific scene from a recorded video and designates and plays back the occurrence time of the searched scene, information indicating that an unauthenticated person gets off / boards at that time. It becomes easy to search, and it is possible to efficiently search and display a video when a non-authenticated person gets off or gets on. For example, in the search and reproduction program, an ID corresponding to the time is given to the video in the elevator recorded by the monitoring system, and the unauthenticated person getting off / boarding the monitoring system received from the reporting means 14 of the elevator control device 1. A video with an ID corresponding to the time is extracted from the recorded video and played back.

  That is, the monitoring system according to the first embodiment is a monitoring system that records a captured image in a building or an elevator, receives an unauthenticated person's getting-off floor from the elevator control device, and receives the non-authenticated person's getting-off floor and getting-off. Save the time. As a result, when the recorded image is reproduced using the search / reproduction program, it is possible to easily reproduce the video in which the non-authenticated person is copied from the getting-off floor and the getting-off time, and it becomes easy to identify the non-authenticated person.

  The search / playback program according to the first embodiment also includes a procedure for assigning an ID corresponding to the floor and time to the recorded video of the monitoring system, and the unauthenticated person's unloading floor and the unloading time received by the monitoring system from the elevator control device. The computer is caused to execute a procedure for extracting and reproducing the video with the ID corresponding to the video recorded by the monitoring system. As a result, it is possible to easily reproduce the video in which the non-authenticated person is copied from the getting-off floor and the getting-off time, and it becomes easy to identify the non-authenticated person.

  As another external system, for example, there is an entrance / exit management system that manages the locking of entrances / exits of each room on each floor. The entrance / exit management system that has received from the notification means 14 of the elevator control device 1 that the non-authenticated person has got off the predetermined floor is the entrance / exit of each room on the floor where the non-authenticated person gets off, or a room with high sensitivity. Security measures can be improved by taking measures such as temporarily disabling unlocking.

  That is, the entrance / exit management system according to the first embodiment is an entrance / exit management system that manages the locking of the entrances and exits of each room of the building. When an unauthenticated person's exit floor is received from the elevator controller, Do not allow unlocking of room entrances. Thereby, a movement of a non-authenticated person can be prevented and crime prevention can be improved.

<Application example>
Passengers usually use the elevator when entering the building and moving to another floor. Therefore, since the elevator is not used to enter the floor where the entrance of the building is located, it cannot be detected by the above-described elevator control device and external system. Therefore, there are the following application examples.

  Some elevators have two doorways. Therefore, when the user enters the floor where the entrance of the building is located, he / she gets into the building by calling the elevator and getting on from one entrance / exit of the elevator and getting off from the other entrance / exit as it is. Thus, by using both the elevator and the entrance of the building, it is possible to improve the security against the intrusion to the floor where the entrance of the building is located by using the elevator control device shown in FIG.

<Effect>
According to the elevator control apparatus of the first embodiment, the following effects can be obtained as already described. That is, the elevator control device 1 according to the first embodiment includes a destination floor registration unit 11 in which a passenger registers a destination floor, and an operation control unit 15 that calculates the expected number of people to get off at each floor from the registration status in the destination floor registration unit 11. And a measuring means 12 having a weight sensor for measuring the load weight in the elevator, a getting-off number detecting means 13 for detecting the number of getting-off persons on each floor based on the measurement result of the measuring means 12, and a getting-off calculated by the operation control means 15 The planned number of people and the number of people getting off detected by the getting-off number detection means 13 are compared for each floor, and if the number of people getting off is larger than the number of people to get off, it is considered that the non-certified person has got off the floor and the floor is unauthenticated. And a reporting means 14 for reporting to the outside as a person getting off floor. In this way, since the intruder floor of the non-authenticated person is reported to the elevator's external system, the external system can receive the information and take security measures, improving the crime prevention performance and work efficiency of the building . Moreover, even if a non-authenticated person is found, there is no restriction on the operation of the elevator, so that ordinary passengers can use the elevator as usual.

  The monitoring system according to the first embodiment is a monitoring system for viewing a captured image in a building. The monitoring system receives an unauthenticated person's disembarking floor from the elevator control device, and the unauthenticated person's disembarking from the images on each floor. Call attention to the floor image. This facilitates identification of non-authenticated persons and improves crime prevention.

  In addition, the monitoring system receives the unauthenticated person's getting-off floor from the elevator control device 1 and records the non-authenticated person's getting-off floor at high density. This facilitates identification of non-authenticated persons and improves crime prevention.

  The monitoring system according to the first embodiment is a monitoring system for recording captured images in a building or an elevator. The monitoring system receives an unauthenticated person's getting-off floor from the elevator control device, and the non-authenticated person's getting-off floor and getting-off Save the time. As a result, when the recorded image is reproduced using the search / reproduction program, it is possible to easily reproduce the video in which the non-authenticated person is copied from the getting-off floor and the getting-off time, and the non-authenticated person can be easily identified.

  The search / playback program according to the first embodiment also includes a procedure for assigning an ID corresponding to the floor and time to the recorded video of the monitoring system, and the unauthenticated person's unloading floor and the unloading time received by the monitoring system from the elevator control device. The computer is caused to execute a procedure for extracting and reproducing the video with the ID corresponding to the video recorded by the monitoring system. As a result, it is possible to easily reproduce the video in which the non-authenticated person is copied from the getting-off floor and the getting-off time, and it becomes easy to identify the non-authenticated person.

  As another external system, for example, there is an entrance / exit management system that manages the locking of entrances / exits of each room on each floor. The entrance / exit management system that has received from the notification means 14 of the elevator control device 1 that the non-authenticated person has got off the predetermined floor is the entrance / exit of each room on the floor where the non-authenticated person gets off, or a room with high sensitivity. Security measures can be improved by taking measures such as temporarily disabling unlocking.

  Further, the entrance / exit management system of the first embodiment is an entrance / exit management system that manages the locking of the entrances and exits of each room of the building, and when an unauthenticated person gets off the floor from the elevator control device, Do not allow unlocking of room entrances. Thereby, a movement of a non-authenticated person can be prevented and crime prevention can be improved.

(Embodiment 2)
When the elevator control device according to the first embodiment finds a non-authenticated person, the elevator control device reports the getting-off floor to an external system, but does not mention information about the non-certified person. Therefore, in the second embodiment, a method for acquiring non-authenticated person information and utilizing it for improving crime prevention will be described.

<Configuration>
FIG. 13 is a block diagram showing a configuration of the elevator control device 2 according to the second embodiment of the present invention. Since the elevator control device 2 according to the second embodiment is similar in configuration to the elevator control device 1 according to the first embodiment, only parts that are different in configuration will be described, and corresponding portions will be denoted by the same reference numerals. The description common to the first embodiment will be omitted.

  The elevator control device 2 includes a destination floor registration unit 11, a measurement unit 12, a passenger getting-off detection unit 13, a notification unit 14, an operation control unit 15, and an attribute processing unit 21. Of these means, except for the destination floor registration means 11 and the measurement means 12, which are hardware, each means 13, 14, 15, and 21 is constituted by software on a microcomputer.

  The attribute processing means 21 calculates attribute information such as the height, weight, walking speed, and age of the non-authenticated person. The reporting unit 14 reports the attribute information calculated by the attribute processing unit 21 to the external system in addition to the unauthenticated person getting off the predetermined floor.

  That is, the elevator control device 2 according to the second embodiment further includes attribute processing means 21 that acquires at least one of the height, weight, walking speed, and age of the passenger as attribute information from the measurement result of the measuring means 12. The reporting unit 14 receives the attribute information from the attribute processing unit 21 and reports to the outside the attribute information of the passenger who got off the unauthenticated person on the floor. Attribute information such as height, weight, walking speed, and age of passengers including non-certified persons can be reported to an external system, so that more detailed information for non-certified persons can be handled in the external system. The crime prevention property is further improved.

<Operation>
FIG. 14 is a flowchart showing a processing procedure of the operation of the elevator control device 2. The processes in steps ST201 to ST205 in the flowchart shown in FIG. 14 are the same as the processes in steps ST101 to ST105 in the flowchart shown in FIG. 2 described above, and thus the description of the processes in steps ST201 to ST205 is omitted.

  In step ST <b> 206, the attribute processing unit 21 calculates attribute information such as the height, weight, walking speed, and age of the passenger who gets off / on the board from the measurement result of the measurement unit 12 and the estimation result of the number of passengers detection unit 13. FIG. 15 shows measurement results obtained from the photoelectric sensor illustrated in FIG. The horizontal axis indicates the time, and the vertical axis indicates the installation position of the photoelectric sensor. The position detected by the photoelectric sensor is indicated by a black dot. When a person passes through the door where the photoelectric sensor is installed, a measurement result as shown in FIG. 15 is obtained, and the height (H) of the person can be obtained therefrom. Further, the moving speed can be obtained by dividing the distance required to pass through the door by the moving time (L) required for passing through the door. It is assumed that the distance required to pass through the door is held in the attribute processing unit 21 in advance.

In addition, the age of the person can be estimated from the moving speed. As an age estimation method, for example, an expression for estimating the age from the age and the moving speed may be stored in advance, and the attribute processing unit 21 may calculate the age from the moving speed. Further, the attribute processing means 21 acquires the data of the loading weight W (i) as shown in FIG. 7 from the measuring means 12, and the loading weight during the period [t (i), t (ix)]. The decrease / increase amount of W (i) can also be used as the weight of the person. Alternatively, the attribute processing means 21 acquires the time difference data W _diff (i) of the loaded weight as shown in FIG. 11B from the passenger detection means 13 and obtains one convex waveform (starting from 0 and returning to 0). The integrated value of the waveform up to may be used as the weight of the person. This utilizes the characteristic of the time difference data that the integral value of one convex waveform of the time difference data is equal to the amount of change in the load weight in that section.

  In step ST207, the reporting means 14 obtains the number of people who will get off the floor from the operation control means 15, and obtains the number of people getting off the floor from the number of people getting off detection means 13. If the number of people getting off is larger than the number of people who will get off, the process proceeds to step ST208.

  In step ST208, the reporting means 14 reports the floor on which the non-authenticated person got off to an external system such as a building physical security system. At that time, attribute information such as the height, weight, walking speed, and age of the non-authenticated person calculated by the attribute processing means 21 in step ST206 is also issued at the same time.

  In addition, since the elevator control device 2 according to the present embodiment calculates attribute information without distinction between non-authenticated persons / authenticated persons, the reporting unit 14 also issues attribute information other than non-authenticated persons in step ST207. good.

<External system>
Next, an external system using the elevator control device 2 of the present embodiment will be described. As an external system, for example, there is a monitoring system capable of viewing an image of a monitoring camera in a building. The monitoring system can display the attribute information of the person in addition to the intruder information of the non-authenticated person on the screen simultaneously with the image of the unauthenticated person getting off the floor. It is also possible to announce attribute information by voice.

  That is, the monitoring system described in the second embodiment is a monitoring system for viewing captured images in a building, which receives passenger attribute information from an elevator control device, and is related to a video of an unauthenticated person getting off the floor. Output attribute information to the outside. Thereby, specification of a non-authenticated person is accelerated, and crime prevention can be improved.

  In addition, when the video of the surveillance camera is recorded, the attribute information of the person is issued to the recording device, and the attribute information is stored together with the video of the recording device, so that the recorded image can be reproduced later. When a non-authenticated person is specified, the attribute information of the non-authenticated person can also be known, and subsequent discovery of the non-authenticated person becomes easy, so measures against the non-authenticated person can be taken to improve crime prevention. . Or, when using search / playback software for a surveillance system that searches a recorded video for a specific situation and specifies and plays back the time when the searched situation occurred, attribute information such as the person's height, weight, walking speed, and age It is possible to search the recorded video from the above, and the work of the searcher can be made efficient.

  As another external system, for example, there is a monitoring system that takes an image of an elevator and records the taken image on a recording device. In addition to the information that the non-authenticated person gets off / get on, the monitoring system stores the attribute information of the person together with the image. Can also be known and can improve crime prevention. Alternatively, when using a search / playback software for a surveillance system that searches a recorded scene from a recorded video and plays back from that time, the search is performed using attribute information such as a person's height, weight, walking speed, and age. And the searcher's work can be made more efficient.

  That is, the monitoring system according to the second embodiment is a monitoring system that records captured images in a building or an elevator, receives passenger attribute information from the reporting means 14 of the elevator control device 2, and stores the attribute information. To do. As a result, when the recorded image is played back later to identify the non-authenticated person, the attribute information of the non-authenticated person can be known, and subsequent discovery of the non-authenticated person becomes easy. Measures can be taken to improve crime prevention.

  The search / playback program according to the second embodiment has a procedure for assigning an ID corresponding to the attribute information of the passenger shown in the video to the recorded video of the monitoring system described above, and an ID corresponding to the predetermined attribute information. And causing the computer to execute a procedure for extracting and reproducing the assigned video. As a result, the video can be searched based on the attribute information such as the height, weight, walking speed, and age of the person, and the video of the non-authenticated person can be efficiently reproduced.

  In addition, the surveillance system records images of multiple surveillance cameras in the building, and it is possible to estimate attribute information such as a person's height, weight, walking speed, and age by analyzing the images of each camera In this case, the attribute information issued from the elevator control device 2 and the image of the surveillance camera in the building are compared to identify the same person, and data for calculating each attribute information is measured. The travel route of the person in the building can be identified and tracked from the time calculated from the place (elevator boarding / alighting floor or camera installation position). This makes it easy to specify the damage estimation location and the escape route, contribute to the discovery of non-authenticated persons, and improve the crime prevention property by helping to improve the crime prevention measures of the building.

  That is, the monitoring system of the second embodiment records captured images of a plurality of locations in a building, analyzes the images, and extracts at least one of the height, weight, walking speed, and age of the person in the image. It is a monitoring system that estimates as attribute information, and compares the attribute information of the passenger received from the elevator control device 2 with the attribute information obtained by image analysis, and determines that the attribute information is the same person image analysis The movement path of the person in the building is identified from the shooting location and shooting time of the video that was performed. This makes it easy to specify the damage estimation location and the escape route, contribute to the discovery of non-authenticated persons, and improve the crime prevention property by helping to improve the crime prevention measures of the building.

<Effect>
According to the elevator control device 2 of the second embodiment, as described above, in addition to the effects of the first embodiment, the following effects are provided. That is, the elevator control device 2 according to the second embodiment further includes attribute processing means 21 that acquires at least one of the height, weight, walking speed, and age of the passenger as attribute information from the measurement result of the measuring means 12. The reporting unit 14 receives the attribute information from the attribute processing unit 21 and reports to the outside the attribute information of the passenger who got off the unauthenticated person on the floor. Attribute information such as height, weight, walking speed, and age of passengers including non-certified persons can be reported to an external system, so that more detailed information for non-certified persons can be handled in the external system. The crime prevention property is further improved.

  According to the monitoring system of the second embodiment, the following effects can be obtained as described above. That is, the monitoring system according to the second embodiment is a monitoring system for viewing a photographed image in a building, receives attribute information of passengers from the elevator control device, and attribute information related to the image of the unauthenticated person getting off the floor. Is output to the outside. Thereby, specification of a non-authenticated person is accelerated, and crime prevention can be improved.

  Another monitoring system according to the second embodiment is a monitoring system that records a captured image in a building or an elevator. The monitoring system receives passenger attribute information from the notification unit 14 of the elevator control device 2, and receives attribute information. Save. As a result, when the recorded image is played back later to identify the non-authenticated person, the attribute information of the non-authenticated person can be known, and subsequent discovery of the non-authenticated person becomes easy. Measures can be taken to improve crime prevention.

  The search / playback program according to the second embodiment has a procedure for assigning an ID corresponding to the attribute information of the passenger shown in the video to the recorded video of the monitoring system described above, and an ID corresponding to the predetermined attribute information. And causing the computer to execute a procedure for extracting and reproducing the assigned video. As a result, the video can be searched based on the attribute information such as the height, weight, walking speed, and age of the person, and the video of the non-authenticated person can be efficiently reproduced.

  Another monitoring system according to the second embodiment records captured images of a plurality of locations in a building, analyzes the image, and analyzes at least one of the height, weight, walking speed, and age of the person in the image. In the monitoring system that estimates the above as attribute information, when comparing the attribute information of the passenger received from the elevator control device 2 with the attribute information obtained by image analysis, and determining that the attribute information is the same person, A moving path in a person's building is specified from the shooting location and shooting time of the image subjected to image analysis. This makes it easy to specify the damage estimation location and the escape route, contribute to the discovery of non-authenticated persons, and improve the crime prevention property by helping to improve the crime prevention measures of the building.

  1, 2 elevator control device, 11 destination floor registration means, 12 measuring means, 13 getting-off person detection means, 14 reporting means, 15 operation control means, 21 attribute processing means.

Claims (11)

Destination floor registration means for the passenger to register the destination floor;
Driving control means for calculating the number of people to get off at each floor from the registration status to the destination floor registration means,
A measuring means comprising a weight sensor for measuring the load weight in the elevator;
Getting off person detecting means for detecting the number of people getting off at each floor based on the measurement result of the measuring means,
Comparing the number of persons scheduled to get off calculated by the driving control means and the number of persons getting off detected by the means for detecting number of persons getting off for each floor, and when the number of people getting off is larger than the number of persons getting off the An elevator control device comprising: a notification means that issues a notification as an unauthenticated person getting off floor, assuming that the floor has been dropped off. From the measurement result of the measuring means, further comprising attribute processing means for acquiring at least one of the height, weight, walking speed, and age of the passenger as attribute information,
The said reporting means receives the said attribute information from the said attribute processing means, and reports the said attribute information of the passenger (it got off at the said unauthenticated person's getting-off floor) outside, The 1st aspect is characterized by the above-mentioned. Elevator control device. A monitoring system for viewing captured images in a building,
A monitoring system comprising: receiving the unauthenticated person's getting-off floor from the elevator control device according to claim 1; and calling attention to an image of the non-authenticating person's getting-off floor from images of each floor. system.   A monitoring system for viewing a captured image in a building, wherein the unauthenticated person's getting-off floor is received from the elevator control device according to claim 1 or 2, and the non-authenticating person's getting-off floor is densely displayed. A surveillance system characterized by recording.   A monitoring system for recording a photographed image in a building or an elevator, wherein the unauthenticated person's getting-off floor is received from the elevator control device according to claim 1 or 2, and the non-authenticating person's getting-off floor and getting-off time are received. A surveillance system, characterized by storing. A procedure for assigning an ID corresponding to a floor and a time to a video recorded by the monitoring system according to claim 5;
The video to which the ID corresponding to the getting-off floor and the getting-off time of the unauthenticated person received by the monitoring system from the elevator control device according to claim 1 or 2 is extracted from the video recorded by the monitoring system and reproduced. A search and playback program for causing a computer to execute the procedure. An entrance / exit management system that manages the locking of the entrances and exits of each room in the building,
The entrance / exit management system according to claim 1, wherein when an unauthenticated person gets off the floor from the elevator control device according to claim 1, unlocking of the entrance / exit of the room on the floor is not permitted.   The said attribute information of a passenger is received from the elevator control apparatus of Claim 2, and the said attribute information relevant to the image | video of the unauthenticated person's alighting floor is output outside. Monitoring system.   The monitoring system according to claim 5, wherein the attribute information of the passenger is received from the elevator control device according to claim 2, and the attribute information is stored. A procedure for giving an ID corresponding to the attribute information of a passenger shown in the video to the video recorded by the monitoring system according to claim 9;
A search / playback program for causing a computer to execute a procedure for extracting and playing back an image assigned an ID corresponding to predetermined attribute information. A monitoring system that records captured images of a plurality of locations in a building, analyzes each image, and estimates at least one of the height, weight, walking speed, and age of the person in the image as attribute information ,
When the attribute information obtained by the image analysis is compared with the attribute information of the passenger received from the elevator control device according to claim 2, the image analysis is performed when it is determined that the attribute information is the same person. A monitoring system, wherein a moving route of a person in a building is specified from a shooting location and a shooting time of an image.

Images