JPH10294933A - Video monitoring system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a video monitoring system with which the image of video camera photographing an abnormality generating place is displayed on a display device while being automatically switched and images before and after the occurrence of abnormality are flexibly and efficiently recorded corresponding to the characteristics of abnormality estimated to occur for each plant when the abnormality occurs. SOLUTION: The occurrence of abnormality at a plant 1 is automatically detected by analytically processing the images or the like from a video camera 2, which photographs the plant 1, at a main body 3 of video monitoring system and images to be displayed on a video monitoring system display part 4 are displayed while being automatically switched to the images of video camera at the place where abnormality occurs. Besides, by making variable recording time, frame rate and resolution when recording video camera images before and after abnormality occurrence into a recording device, flexible and efficient recording is enabled.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

The present invention relates to an industrial plant,
It relates to plants such as power plants, buildings, and monitoring systems such as water and sewage systems.In particular, it promptly detects the occurrence of abnormalities in plants and notifies the operator, and efficiently records video images at the time of abnormalities, The present invention also relates to a reproduction system.

[0002]

2. Description of the Related Art FIG.
FIG. 2 is a block diagram showing a conventional abnormality monitoring device disclosed in Japanese Unexamined Patent Publication No. 2 (Kokai) No. 2; In the figure, 31 is a sync separation circuit, 32 is an abnormal phenomenon detecting device, 33 is an address counter, 34 is a field interval setting unit, 35 is a field segment setting unit, 36 is a start / stop control circuit, and 37 is a stack for abnormal extraction images. Memory, 38 is a stacked memory for image data,
39 is a data transfer circuit, and 40 is a storage device.

A video signal from a video camera is separated by a sync separation circuit 31 into image data S2 and sync data S3. The image data S2 is sequentially stored in the image data stacked memory 38 including a frame memory formed in a ring shape for each frame. Here, when an abnormal phenomenon included in the image data S2 is detected by the abnormal phenomenon detecting device 32, the image data S2 and the abnormal image data S4 are respectively obtained after a lapse of a predetermined time immediately before the occurrence of the abnormal phenomenon. Until the start, the start / stop control circuit 36 stores and holds the image data in the layered memory 38 for image data and the layered memory 37 for abnormality extraction configured similarly. Thereafter, the image data S2 and the abnormal image data S4 from immediately before the occurrence of the abnormality to after a predetermined time have elapsed are stored and stored in the image data stacked memory 38 and the abnormal extraction stacked memory 37 of all the images. After the completion of
The data is transferred to the storage device 40 by the data transfer circuit 39.

[0004]

Since the conventional abnormality monitoring apparatus is configured as described above, it is necessary to have a memory which is equal to the amount of images stored in the storage device 40.
That is, the storage device 40 can store only the video for the time that can be temporarily stored in the mounted memory. In addition, when there are a plurality of video cameras, and an image of the video camera capturing the place where the abnormality has occurred is not displayed on a display device such as a CRT device, etc., the operator may be late in noticing the occurrence of the abnormality, In the worst case, there is a problem that an abnormal occurrence is overlooked.

SUMMARY OF THE INVENTION The present invention has been made to solve the above-mentioned problems, and enables long-time video recording using a limited memory. An object of the present invention is to provide a video monitoring system capable of surely informing an operator of an abnormality by automatically switching a video camera image displayed on a display device such as a CRT to a video camera image of a place where an abnormality has occurred. It is another object of the present invention to obtain a video surveillance system capable of efficiently recording a video image of a video camera by changing a frame rate and a resolution for recording for each plant.

[0006]

A video surveillance system according to the present invention comprises a plurality of video cameras for displaying the status of a system such as various plants and buildings, and a video surveillance system display for displaying images captured by the video cameras. Unit, an abnormality detecting means installed in the plant or the like, and processing of data sent from the abnormality detecting means to detect occurrence of an abnormality in the plant or the like, and a video camera image of the video monitoring system display unit. And a video monitoring system main body that controls to switch to and display a video camera video of a place where an abnormality has occurred.

[0007] A video camera for displaying the status of the system is also used as the abnormality detecting means.

Further, a plurality of sound sensors are used as the abnormality detecting means.

Further, a plurality of vibration sensors are used as abnormality detecting means.

Further, a plurality of temperature sensors are used as abnormality detecting means.

Further, a plurality of odor sensors are used as abnormality detecting means.

Further, as the abnormality detecting means, a combination of any two of a video camera, a sound sensor, a vibration sensor, a temperature sensor, and an odor sensor is used.

[0013] The video surveillance system body further comprises a video video recording means and a video reproduction means. When an abnormality occurs in a plant or the like, a video camera image of a place where the abnormality has occurred is imaged a predetermined time before the occurrence of the abnormality. From then on, all subsequent videos can be recorded and played back.

The video surveillance system body can be externally set from which point before the occurrence of the abnormality the video camera image to be recorded in the recording means when an abnormality occurs.

Further, the video monitoring system main unit includes frame thinning means for video signals, and when recording video, for a certain period of time before and after the occurrence of an abnormality, the frame rate, which is the number of frames of video to be recorded per second, is increased. At other times, the frame rate is reduced and recorded.

Further, the video monitoring system main body can externally set a frame rate for recording on the recording means.

Also, the video monitoring system main body is provided with a resolution changing means for the video signal, and when the video is recorded, the video is recorded at a high resolution for a certain period of time before and after the occurrence of the abnormality, and for other times, the video is recorded at a high resolution. The data is recorded at a reduced resolution by a method such as thinning out data.

The resolution of the video surveillance system at the time of recording in the recording means can be externally set.

The video surveillance system main unit can externally set the time for recording at a higher frame rate or recording at a higher resolution.

[0020]

BEST MODE FOR CARRYING OUT THE INVENTION

Embodiment 1 FIG. Hereinafter, a first embodiment of the present invention will be described with reference to the drawings. FIG. 1 is a configuration diagram of the video monitoring system according to the first embodiment. In the figure, reference numeral 1 denotes a plant to be monitored, and 2 denotes a video camera for photographing the plant 1. In this example, five video cameras are installed. Reference numeral 3 denotes a video surveillance system main unit, and 4 denotes a video surveillance system display unit for displaying video images and graphic images transmitted from the video surveillance system main unit 3. In this example, six CRT devices are arranged in two rows and two columns. This is a case where a total of six units in three rows are arranged to form a multi-CRT device.
Reference numeral 5 denotes an operator who performs plant monitoring using the video monitoring system.

FIG. 2 shows an example of an image displayed on the image monitoring system display unit 4, and shows a difference between video camera images displayed before and after the abnormality detection in the plant 1. FIG. 3 is a diagram showing the internal configuration of the video surveillance system main body 3, 9 is an image processing means for performing image processing on video camera images sent from five video cameras 2,
Reference numeral 10 denotes switching means for selecting two video camera images from among the five video camera images and displaying them on the video surveillance system display unit 4. The switching signal is transmitted to the switching means 10 so as to select the video camera image of the above, and after the occurrence of the abnormality, the switching signal is transmitted to the switching means 10 so as to select the video camera image of the location where the abnormality has occurred. It is a video selection signal generating means.

Next, the operation will be described. The operator 5 that monitors the plant 1 usually uses the video monitoring system display unit 4
While monitoring the plant. In the example shown here, five video cameras 2 are installed in the plant 1,
The video surveillance system display section 4 can display any two video camera images selected by the operator 5 from the five video camera images. In addition to the portion displaying the video camera image, a system diagram in the plant 1 and various data are generally displayed graphically. The selection of the video camera video to be displayed on the video monitoring system display unit 4 by the operator 5 is performed as follows. The operator 5 instructs the video selection signal generation means 11 on a video camera video desired to be displayed. Upon receiving this instruction, the video selection signal generating means 11
Using the switching signal, the switching unit 10 is notified which video camera video is to be displayed. The switching unit 10 that has received the switching signal selects two video camera images designated by the switching signal from the five video camera images, and displays them on the video monitoring system display unit 4.

A case where an abnormality such as a fire has occurred in the plant 1 will be described as an example. The video surveillance system body 3
By performing image processing on all video camera images sent from the five video cameras 2 by the image processing means 9, the occurrence of abnormality in the plant 1 is constantly checked. When the image processing means 9 detects the occurrence of the abnormality by the image processing, the image selection signal generation means 11 is notified of the detection of the occurrence of the abnormality and a video for specifying the video camera image in which the occurrence of the abnormality is detected. The camera 2 number is notified. The video selection signal generating means 11, which has been notified of the detection of the occurrence of the abnormality, switches the video camera 10 so as to display the video camera video specified by the operator 5 until then.
Is changed to display the video image of the video camera in which the occurrence of the abnormality has been detected, and transmitted to the switching unit 10. Upon receiving the switching signal, the switching unit 10 switches the video camera video displayed on the video surveillance system display unit 4 to the video camera video in which an abnormality is detected. That is, the display is switched from the “before abnormality detection” state shown in FIG. 2 to the “after abnormality detection” state. As described above, when an abnormality occurs, the video camera image at the location where the abnormality occurs is automatically switched and the video monitoring system display unit 4
Is displayed, the operator 5 does not miss the occurrence of the abnormality and can immediately know the abnormality.

In the video surveillance system described in the first embodiment, when an abnormality occurs in the plant 1, the video camera image displayed on the video surveillance system display unit 4 immediately after the occurrence of the abnormality causes the abnormality to occur. Is automatically switched to the video camera image of the place where the trouble occurred, and the video monitoring system display unit 4 displays the video camera image other than the place where the abnormality has occurred. Or, an abnormality is not overlooked, and prompt response by the operator 5, for example, a fire extinguishing instruction in the case of a fire becomes possible.

Embodiment 2 Next, a second embodiment of the present invention will be described with reference to the drawings. FIG. 4 is a block diagram showing a video surveillance system according to the second embodiment, and FIG. 5 is a diagram showing the internal structure of the video surveillance system main body 3. The same or corresponding parts as in FIGS. The description is omitted here. In FIG. 4, reference numeral 6 denotes a sound sensor installed in the plant 1 for detecting explosive sounds, vibration sounds, and the like.
In FIG. 5, reference numeral 12 is a sound sensor data analysis means for analyzing the data from the sound sensor 6 and detecting an abnormality by replacing the image processing means 9 of FIG.

In the first embodiment, a case has been described in which an image processing is performed by the video monitoring system body 3 to automatically detect an abnormality. However, as shown in FIG. The data sent from the sound sensor 6 is analyzed by the video surveillance system main body 3 to automatically detect an abnormality, thereby detecting an abnormality occurring outside the shooting range of the video camera 2 or performing image processing. Can detect undetectable abnormalities.

The operation will be described in more detail. Here, as a system configuration, a case where three sound sensors 6 are additionally installed in the plant 1 described in the first embodiment will be described as an example.

Similar to the first embodiment, a case where an abnormality such as a fire occurs in the plant 1 is considered. The video monitoring system main body 3 always checks the occurrence of an abnormality in the plant 1 by analyzing the data sent from the three sound sensors 6 by the sound sensor data analysis means 12. When the sound sensor data analysis unit 12 detects the occurrence of an abnormality by analyzing the data, the image selection signal generation unit 1
1, the number of the video camera 2 for designating the video camera image in which the occurrence of the abnormality is detected and the video camera in which the occurrence of the abnormality is detected is notified. Since the video camera 2 does not necessarily capture the location where the abnormality has occurred, the video camera 2 is remotely operated from the video surveillance system body 3 and the video closest to the location where the abnormality is assumed to have occurred is assumed. Camera 2
Is changed to the direction of the place where it is considered that an abnormality has occurred, thereby capturing an image of the place where the abnormality has occurred. The operation after notifying the video selection signal generation unit 11 of the detection of the occurrence of the abnormality is the same as that of the first embodiment, and the video camera image of the location where the abnormality has occurred is displayed on the video monitoring system display unit 4.

In the video surveillance system shown in the second embodiment, when an abnormality occurs, the video monitoring system display 4 displays
By automatically displaying the video camera image of the place where the abnormality has occurred, the effect that the operator 5 can immediately know the occurrence of the abnormality can be obtained, and the image of the video camera image shown in the first embodiment can be obtained. Abnormalities that cannot be detected by automatic detection of abnormalities due to processing, such as abnormal sound inside the device but the external shape of the device has not changed, or outside the range of the video camera image It is effective in detecting an abnormality that has occurred. Further, by using the image processing described in the first embodiment together, the accuracy of abnormality detection can be improved. Since the sound sensor 6 is inexpensive compared to the video camera 2,
It is possible to install a greater number of sound sensors 6 in the plant 1 than in the case of the plant 1, and the system can be constructed at a relatively low cost when abnormality detection in a wider range including the range where the video camera 2 is not installed is required. This has the effect.

Embodiment 3 Next, a third embodiment of the present invention will be described with reference to the drawings. FIG. 6 is a configuration diagram showing a video monitoring system according to the third embodiment, and FIG. 7 is a diagram showing the internal configuration of the video monitoring system main body 3 according to the third embodiment, which is the same as or corresponds to FIGS. Are denoted by the same reference numerals, and description thereof is omitted. In FIG. 6, reference numeral 7 denotes a plant 1 for detecting vibration due to an explosion, equipment failure, or the like.
This is a vibration sensor installed in. In FIG. 7, 13
Is a vibration sensor data analysis means for analyzing the data from the vibration sensor 7 and detecting an abnormality by replacing the sound sensor data analysis means 12 in FIG.

In the first embodiment, a case has been described in which the video monitoring system main unit 3 performs image processing to automatically detect an abnormality. However, as shown in FIG. By analyzing the data sent from the vibration sensor 7 in the video monitoring system main body 3 and automatically detecting the abnormality, the abnormality detected outside the shooting range of the video camera 2 can be detected. An impossible abnormality can be detected.

Next, the operation will be described in detail. Here, as a system configuration, a case is considered in which the sound sensor 6 illustrated in the second embodiment is changed to a vibration sensor as shown in FIG.

The operation flow is the same as in the second embodiment.
The video monitoring system main body 3 always checks the occurrence of abnormality in the plant 1 by analyzing the data sent from the three vibration sensors 7 by the vibration sensor data analysis means 13. Vibration sensor data analysis means 1
If No. 3 detects an abnormality by analyzing the data,
It notifies the video selection signal generation means 11 of the detection of the occurrence of the abnormality and the number of the video camera 2 for designating the video camera video in which the occurrence of the abnormality has been detected. Since the video camera 2 does not necessarily capture the location where the abnormality has occurred, the video camera 2 is remotely operated from the video surveillance system body 3 and the video closest to the location where the abnormality is assumed to have occurred is assumed. By changing the direction of camera 2,
Take a video of the location where the abnormality occurred. The operation after notifying the detection of the occurrence of abnormality to the video selection signal generating means 11 is the same as that of the first embodiment.

In the video surveillance system shown in the third embodiment, the effect that the operator 5 can immediately know the occurrence of an abnormality can be obtained. An abnormality that cannot be detected by the automatic detection of the occurrence of an abnormality or the automatic detection of the occurrence of an abnormality by the sound sensor described in the second embodiment. This is effective for detecting subtle vibrations or abnormalities that occur outside the video camera image range. Further, the image processing described in Embodiment 1 or
By using it together with the analysis by the sound sensor described in the second embodiment, the accuracy of abnormality detection can be improved.

Embodiment 4 FIG. Next, a fourth embodiment of the present invention will be described with reference to the drawings. FIG. 8 is a configuration diagram illustrating a video monitoring system according to the fourth embodiment, and FIG. 9 is a diagram illustrating an internal configuration of the video monitoring system main body 3 according to the fourth embodiment, which is the same as or equivalent to FIGS. The same reference numerals are given to the same parts and the description thereof is omitted. In FIG. 8, 4
Reference numeral 1 denotes a temperature sensor installed in the plant 1 for detecting a temperature rise due to an abnormal reaction of a chemical substance or a fire.
In FIG. 9, reference numeral 43 is a temperature sensor data analysis unit for replacing the sound sensor data analysis unit 12 of FIG. 5 and analyzing data from the temperature sensor 41 and detecting an abnormality.

In the first embodiment, a case has been described in which the video monitoring system main unit 3 performs image processing to automatically detect an abnormality. However, as shown in FIG. Since the data sent from the temperature sensor 41 is analyzed by the video monitoring system body 3 to automatically detect the abnormality, the abnormality detected outside the shooting range of the video camera 2 can be detected and the image processing can be performed. Can detect undetectable abnormalities.

Next, the operation will be described in detail. Here, as a system configuration, a case is considered in which the sound sensor 6 illustrated in the second embodiment is changed to a temperature sensor as shown in FIG.

The operation flow is the same as in the second embodiment.
The video monitoring system main body 3 always checks the occurrence of an abnormality in the plant 1 by analyzing the data sent from the three temperature sensors 41 by the temperature sensor data analysis means 43. When the temperature sensor data analysis means 43 detects the occurrence of an abnormality by analyzing the data, the temperature sensor data analysis means 43 specifies to the image selection signal generation means 11 that the occurrence of the abnormality has been detected and the video camera image in which the occurrence of the abnormality has been detected. Of the number of the video camera 2 to be used.
Since the video camera 2 does not necessarily capture the location where the abnormality has occurred, the video camera 2 is remotely operated from the video surveillance system body 3 and the video closest to the location where the abnormality is assumed to have occurred is assumed. By changing the direction of the camera 2, an image of the location where the abnormality has occurred is captured. The operation after notifying the detection of the occurrence of abnormality to the video selection signal generating means 11 is the same as that of the first embodiment.

In the video surveillance system shown in the fourth embodiment, the effect that the operator 5 can immediately know the occurrence of an abnormality can be obtained. An abnormality that cannot be detected by automatic detection of abnormality occurrence, automatic detection of abnormality occurrence by the sound sensor described in the second embodiment, and automatic detection of abnormality occurrence by the vibration sensor described in the third embodiment, for example, This is effective for detecting a case where a chemical substance is abnormally reacted in a chemical plant or the like and is in a high temperature state, or for detecting an abnormality or the like occurring outside a range of a video camera image.
Further, the accuracy of abnormality detection can be improved by using the image processing described in the first embodiment, the analysis using the sound sensor described in the second embodiment, and the analysis performed using the vibration sensor described in the third embodiment. .

Embodiment 5 Next, a fifth embodiment of the present invention will be described with reference to the drawings. FIG. 10 shows the fifth embodiment.
FIG. 11 is a diagram showing the internal configuration of a video monitoring system main body 4 according to the fifth embodiment, and the same or corresponding parts as in FIGS. 1 and 3 are denoted by the same reference numerals. The description is omitted. In the figure,
Reference numeral 42 denotes an odor sensor installed in the plant 1 for detecting generation of a harmful gas or the like by odor. In FIG. 11, reference numeral 44 is an odor sensor data analysis means for replacing the sound sensor data analysis means 12 of FIG. 5, and for analyzing data from the odor sensor 42 and detecting an abnormality.

In the first embodiment, a case has been described in which the video monitoring system main unit 3 performs image processing to automatically detect an abnormality. However, as shown in FIG. The video monitoring system body 3 analyzes data sent from the odor sensor 42 to automatically detect an abnormality, thereby detecting an abnormality occurring outside the shooting range of the video camera 2 or detecting the abnormality in image processing. An impossible abnormality can be detected.

Next, the operation will be described in detail. Here, as a system configuration, a case is considered in which the sound sensor 6 illustrated in the second embodiment is changed to an odor sensor as shown in FIG.

The operation flow is the same as in the second embodiment.
The video monitoring system main body 3 always checks the occurrence of an abnormality in the plant 1 by analyzing the data sent from the three odor sensors 42 by the odor sensor data analysis means 44. When the odor sensor data analysis means 44 detects the occurrence of an abnormality by analyzing the data, the odor sensor data analysis means 44 specifies to the image selection signal generation means 11 that the occurrence of the abnormality has been detected and the video camera image in which the occurrence of the abnormality has been detected. Of the number of the video camera 2 to be used. Since the video camera 2 does not always capture a place where an abnormality has occurred, the video monitoring system main unit 3
By changing the direction of the video camera 2 closest to the place where the abnormality is presumed to have occurred by remote control from, an image of the place where the abnormality has occurred is captured. The operation after notifying the detection of the occurrence of abnormality to the video selection signal generating means 11 is the same as that of the first embodiment.

In the video surveillance system shown in the fifth embodiment, effects such as that the operator 5 can immediately know the occurrence of an abnormality can be obtained. Automatic detection of abnormality occurrence, automatic detection of abnormality occurrence by the sound sensor shown in the second embodiment, automatic detection of abnormality occurrence by the vibration sensor shown in the third embodiment, temperature shown in the fourth embodiment This is effective for detecting abnormalities that cannot be detected by the automatic detection of abnormalities by a sensor, for example, when a harmful gas flows into the plant. The image processing described in Embodiment 1, the analysis using the sound sensor described in Embodiment 2, the analysis using the vibration sensor described in Embodiment 3, and the analysis using the temperature sensor described in Embodiment 4 are used together. As a result, the accuracy of abnormality detection can be improved.

Embodiment 6 FIG. Next, a sixth embodiment of the present invention will be described with reference to the drawings. FIG. 12 is a configuration diagram of a video surveillance system according to the sixth embodiment. Components that are the same as or correspond to those in FIG. 1 are given the same reference numerals, and descriptions thereof are omitted. In the figure, reference numeral 8 denotes a recording device such as a hard disk device for recording a video camera video, and 16 temporarily holds a video camera video sent from the video camera 2 before recording it in the recording device 8. This is a memory for storing.

FIG. 13 is a diagram showing the internal configuration of the video monitoring system main body 3 according to the sixth embodiment. In the figure, reference numeral 14 denotes recording means for recording video camera video in the recording device 8; 15 denotes reproduction means for reading and displaying video camera video data recorded in the recording device 8; A memory temporary storage unit for performing a memory control for temporarily storing the transmitted video camera video in the memory 16. The memory temporary storage unit 18 stores the video camera video temporarily stored in the memory 16 in the recording device 8. , A memory reading unit for performing a memory control for reading video camera video data from the memory 16. FIG. 14 shows how to use the memory 16.

In the first embodiment, the video surveillance system main unit 3 causes the video surveillance system display 4
Has been described, the video camera image to be displayed is automatically switched to the image of the place where the abnormality has occurred. However, as shown in FIG. 12, the video camera image is temporarily stored in the recording device 8 and the video monitoring system main unit 3. By providing a storage memory 16 and temporarily storing the video before the abnormality is detected in the memory 16, the video camera video before the occurrence of the abnormality is recorded even after the occurrence of the abnormality is detected. 8 can be recorded.

Next, the operation will be described in detail. Here, as a system configuration, as shown in FIG. 12, a case where a recording device 8 and a memory 16 are added to the video monitoring system described in Embodiment 1 will be described as an example.

As in the first embodiment, in the plant 1,
Consider a case where an abnormality such as a fire has occurred. The image processing means 9 automatically detects the occurrence of the abnormality, notifies the video selection signal generation means 11 of the occurrence of the abnormality, and the video selection signal generation means 11 having received the notification notifies the switching means 10 of the switching of the display. The flow of the process of switching the video camera image displayed by 10 is the same as in the first embodiment.

In the sixth embodiment, a method for enabling recording and reproduction of a video image of a video camera from a point in time a predetermined time before the occurrence of an abnormality will be described. The method is as follows.

In the video camera image sent from the video camera 2, the latest N frames of data are continuously recorded in the memory 16 by the memory temporary storage means 17.
Here, N is a fixed numerical value. This memory 1
The recording procedure for No. 6 is as follows. As shown in FIG. 14, the memory 16 has a capacity for recording video images of N frames. Now, as shown on the left side of FIG. 14, it is assumed that the latest N frames of video from the video camera video of N frames before to the video camera of one frame before are recorded. Here, when recording the latest video camera video, that is, the current video camera video, the video N frames before the oldest video camera video among the N video camera videos recorded on the memory 16 is used. Overwrites the location where camera video is recorded with the latest video camera video. By doing so, the data in the memory 16 is
4 and the data in the memory 16 in which data of N frames from the video camera video of N frames before to the video camera of one frame before is recorded is stored in N-1.
It is possible to rewrite N frames of data from the video camera image before the frame to the current latest video camera image. Hereinafter, by repeating this process for each frame, the latest N frames of video camera images can be recorded in the memory 16.

When the occurrence of an abnormality is automatically detected by the image processing means 9, the image processing means 9 notifies the memory reading means 18 of the occurrence of the abnormality, and the memory reading means 1
8 starts reading video camera video data recorded in the memory 16 and starts transmitting data to the recording means 14. The recording unit 14 that has received the data starts recording the video image of the video camera on the recording device 8. At the time when the occurrence of the abnormality is detected, the video camera image from N frames before the detection of the occurrence of the abnormality is recorded in the memory 16. Even if recording to the camera is started, it is possible to record the video camera video from N frames before the occurrence of the abnormality.
Since the video camera video is always stored in the memory 16 by the memory temporary storage unit 17 even after the occurrence of the abnormality, the video camera video after the occurrence of the abnormality is also stored in the recording device 8 from the memory 16 via the recording unit 14. Can be recorded.

On the other hand, when reproducing the video camera video at the time of occurrence of an abnormality, the video signal generating means 11 receiving the reproduction instruction from the operator 5 sends the video camera video read from the recording device 8 to the switching means 10. Is displayed by a switching signal, and the reproducing means 16 is instructed by the reproduction control signal to read the video camera video from the recording device 8 and reproduce it. As a result, the video camera video recorded at the time of occurrence of the abnormality recorded in the recording device 8 is reproduced by the video monitoring system display unit 4 via the reproducing unit 15 and the switching unit 10.

In the video surveillance system described in the sixth embodiment, the video camera video from before the occurrence of the abnormality can be recorded in the recording device 8 and can be reproduced again later. It is possible to repeatedly see the stage where the abnormality occurs, that is, the progress from N frames before the abnormality is detected, and it is possible to observe the process that led to the occurrence of the abnormality. It can be used for investigating the cause of abnormal occurrence. In particular, as for the recording time after the occurrence of the abnormality, the recording time can be freely determined without depending on the capacity of the memory 16 to be mounted. Also, in the conventional technology, in order to extend the recording time after the occurrence of the abnormality, it was necessary to increase the capacity of the memory to be mounted.
According to the present invention, it is not necessary to add the memory 16, and economical and flexible response is possible.

Embodiment 7 FIG. Next, a seventh embodiment of the present invention will be described with reference to the drawings. FIG. 15 shows the seventh embodiment.
13 is the same as FIG. 13 except that a recording time instruction from an operator is given to a memory primary storage unit 17. FIG. FIG. 16 shows a timing chart of a video surveillance system using the seventh embodiment, and shows a period during which a video camera video is recorded before and after the occurrence of an abnormality.

In the sixth embodiment, the case where the recording time of the video camera image before the occurrence of the abnormality is fixed has been described, but the operator 5 stores the video before the occurrence of the abnormality in the memory temporary storage unit 17. By allowing the number of frames for recording camera images to be set from the outside, the time can be set according to the capacity of the memory 16 and the recording device 8 and the type and characteristics of the abnormality that occurs in the target plant. it can.

Next, the operation will be described in detail. The outline of the operation is the same as that shown in the sixth embodiment, and the following functions are added to the sixth embodiment.

The operator 5 determines how many frames before the video camera image at the time when the occurrence of the abnormality is detected to start recording.
Externally set for the memory temporary storage means 17. The details of the number of frames set by the operator from the outside are as shown in FIG. That is, the video camera images before the occurrence of the abnormality are recorded for the number of frames set by the operator 5, and the video camera images after the occurrence of the abnormality are all recorded. That is, N in the example shown in the sixth embodiment is variable.

In the video surveillance system described in the seventh embodiment, the recording time of the video camera video before the occurrence of the abnormality can be set from the outside. Therefore, the capacity of the memory 16 and the recording device 8 and the target plant can be set. The recording time can be set more freely and more efficiently by setting the recording time in accordance with the type, characteristics, etc. of the abnormality that occurs in.

Embodiment 8 FIG. Next, an eighth embodiment of the present invention will be described with reference to the drawings. FIG. 17 shows the eighth embodiment.
13 is a block diagram showing the main body of the video surveillance system, and the same or corresponding parts as those in FIG. 13 are denoted by the same reference numerals and description thereof is omitted. In FIG. 17, reference numeral 19 denotes frame thinning-out means for thinning out the video sent from the video camera 2 to reduce the frame rate of the video. FIG. 18 shows a timing chart of a video surveillance system using the eighth embodiment, and shows a frame rate at which a video camera video is recorded. The frame rate indicates the number of frames to be displayed in one second.

In the above-described seventh embodiment, the case where the frame rate, which is the number of frames per second, is fixed and recorded in the recording device 8 is described. In the present embodiment, as shown in FIG. Since the frame thinning means 19 for thinning out the video sent from the video camera 2 is provided inside the main body 3, recording is performed at a high frame rate only in the vicinity of the occurrence of the abnormality and at a low frame rate otherwise. be able to.

Next, the operation will be described in detail. In the video monitoring system used in the eighth embodiment, the video monitoring system described in the seventh embodiment has
Has been added. The video camera video is temporarily stored in the memory 16 in the same manner as in the seventh embodiment. However, before the frame is stored in the memory 16, all frames of the video are stored or several frames are stored by thinning the video. It can be memorized every other time. That is, the video camera 2
In the video camera image sent from, the data thinned by the frame thinning means 19 is stored in the memory 16 via the memory temporary storage means 17, that is, the frame rate can be changed and stored in the memory 16 It has become.

A specific thinning method by the frame thinning means 19 is as shown in FIG. From the occurrence of the abnormality to a fixed Mth frame, all frames of the video camera image are stored in the memory 16, that is, stored at a high frame rate, and thereafter, the frames of the video camera image are thinned out at a fixed rate. In the memory 16, that is, at a low frame rate. FIG. 18 shows a case where the number of pixels is reduced to one half, and a frame with diagonal lines is discarded. As a result, when recording the video camera image on the recording device 8 by the recording unit 14, only the N frames before and M frames after the occurrence of the abnormality can be recorded at a high frame rate and thereafter can be recorded at a low frame rate. .

In the video surveillance system described in the eighth embodiment, important video camera images before and after the occurrence of an abnormality are recorded at a high frame rate. Since the data is thinned and the data amount is reduced to be recorded on the recording device 8, the amount of use of the recording device 8 can be reduced, and the recording on the recording device 8 can be performed efficiently.

Embodiment 9 FIG. Next, a ninth embodiment of the present invention will be described with reference to the drawings. FIG. 19 shows the ninth embodiment.
18 is the same as FIG. 17 except that a frame rate setting from an operator is input to the frame thinning means 19. FIG.

In the eighth embodiment, before and after the occurrence of the abnormality, all frames of the video camera image are recorded, that is, recorded at a high frame rate, and thereafter, the video camera is recorded at a fixed thinning rate. Although the case where the video is thinned and recorded, that is, the case where the video is recorded at a low frame rate has been described, since the operator 5 can set the frame rate to the frame thinning means 19 from the outside, the capacity of the recording device 8 and the target The frame rate can be set according to the type and characteristics of the abnormality that occurs in a certain plant.

Next, the operation will be described in detail. The outline of the operation is the same as that shown in the eighth embodiment, and the following functions are added to the eighth embodiment.

The operator 5 externally determines the frame rate of the portion to be recorded at a high frame rate before and after the detection of the abnormality and the frame rate of the portion to be recorded at a low frame rate thereafter from outside by frame thinning means 19. Can be set for Thus, the frame thinning unit 19 thins out the video camera video at the frame rate set by the operator 5 and writes the data to the memory 16 via the memory time storage unit 17. Since the video camera video data stored in the memory 16 is recorded in the recording device 8 via the recording means 14, the video camera video is transmitted to the recording device 8 at a frame rate set externally by the operator 5. Be recorded.

In the video surveillance system described in the ninth embodiment, since the frame rate for recording can be set from the outside, the amount of use of the recording device 8 can be controlled by the set frame rate. 8
In addition to the fact that the amount of data used can be reduced, more flexible measures such as setting a high frame rate when detailed data is required are possible.

Embodiment 10 FIG. Next, a tenth embodiment of the present invention will be described with reference to the drawings. FIG. 20 is a configuration diagram showing a video surveillance system main body according to the tenth embodiment. The same or corresponding parts as in FIG. In the figure, reference numeral 20 denotes a video camera 2
This is a resolution changing means for reducing the resolution of the video by thinning out the video sent from the PC. FIG. 21 shows a timing chart of a video surveillance system using the tenth embodiment, and is a timing chart showing at what resolution a video camera video is recorded. FIG. 22 is an explanatory diagram relating to the resolution of a video camera image.

In the tenth embodiment, as shown in FIG. 20, the resolution changing means 20 for thinning out the video sent from the video camera 2 inside the video monitoring system body 3.
, So only the area near the occurrence of the abnormality is recorded with high resolution,
Otherwise, it can be recorded at a low resolution.

Next, the operation will be described in detail. In the video monitoring system used in the tenth embodiment, a resolution changing unit 20 is added to the video monitoring system described in the seventh embodiment. The video camera video is temporarily stored in the memory 16 in the same manner as in the seventh embodiment. However, the resolution changing means 20 before storing the video camera video can store all video data in the screen or thin out the video data every few dots. It can be stored at a reduced resolution. In addition,
The resolution here refers to the following.

Generally, a video camera image is expressed as a group of small dots, and FIG. 22 shows an example in which the video camera image is expressed as a group of 640 horizontal dots and 400 vertical dots. . When thinning the video camera image to half the resolution both vertically and horizontally, for example, by discarding data every other dot, the horizontal 320 as shown on the right side of FIG.
It is possible to reduce the data amount by thinning out dots to 200 dots vertically.

In the video camera image sent from the video camera 2, data thinned out at a fixed rate by the resolution changing means 20 is stored in the memory 16 via the memory temporary storage means 17, that is, The resolution can be changed and stored in the memory 16.

The concrete thinning-out timing by the resolution changing means 20 is as shown in FIG. From the occurrence of the abnormality to the fixed Mth frame, the video camera video is stored in the memory 16 as it is, that is, stored at a high resolution. Thereafter, the video camera video is thinned out at a fixed rate and stored in the memory 16. That is, it is stored at a low resolution. In the example of FIG. 21, frames with diagonal lines are discarded, white frames are recorded at high resolution as they are, and black frames are recorded at low resolution by thinning them out. As a result, when recording the video camera image on the recording device 8 by the recording means 14, only N frames before and M frames after the occurrence of the abnormality can be recorded at a high resolution and thereafter recorded at a low resolution.

In the video surveillance system shown in the tenth embodiment, the video camera video after a certain period of time after the occurrence of the abnormality is reduced in resolution by thinning out the video data, so that the video monitoring video is not considered to be very important. Since the camera video is recorded in the recording device 8 with a reduced data amount, the amount of use of the recording device 8 can be reduced, and the recording in the recording device 8 can be performed efficiently.

Embodiment 11 FIG. Next, an eleventh embodiment of the present invention will be described with reference to the drawings. FIG. 23 is a configuration diagram showing a video surveillance system body according to the eleventh embodiment, which is the same as FIG. 20 except that the resolution setting means 20 inputs resolution settings from an operator.

In the tenth embodiment, before and after the occurrence of an abnormality, all data of a video camera image is recorded, that is, recorded at a high resolution, and thereafter, data is thinned out and recorded, that is, at a low resolution. However, the operator 5 can set the resolution from the outside to the resolution changing means 20 so that the capacity of the recording device 8 and the type and characteristics of abnormalities occurring in the target plant can be set. The resolution at the time of recording can be set corresponding to the above.

Next, the operation will be described in detail. The outline of the operation is the same as that shown in the tenth embodiment, and the following functions are added to the tenth embodiment.

The operator 5 sets the resolution of a portion to be recorded at a high resolution before and after the detection of an abnormality and the resolution of a portion to be recorded at a low resolution thereafter from the external to the resolution changing means 20. can do. As a result, the resolution changing unit 20 thins out the video camera video at the resolution set by the operator 5 and writes data to the memory 16 via the memory temporary storage unit 17. Since the video camera video data stored in the memory 16 is recorded on the recording device 8 via the recording means 14, the video camera video is recorded on the recording device 8 at a resolution set externally by the operator 5. Is done.

In the video surveillance system described in the eleventh embodiment, the resolution at the time of recording can be set from the outside, so that the amount of use of the recording device 8 can be controlled by the set resolution. In addition to reducing the amount of usage, when more detailed data is required, more flexible measures such as setting a higher resolution are possible.

Embodiment 12 FIG. Next, a twelfth embodiment of the present invention will be described with reference to the drawings. FIG. 24 is a block diagram showing a video surveillance system body according to the twelfth embodiment. The same or corresponding parts as those in FIG. 17 are denoted by the same reference numerals and description thereof is omitted. Reference numeral 21 denotes a thinning unit including a frame thinning unit and a resolution changing unit. FIG. 25 is a timing chart according to the twelfth embodiment.

In the eighth to eleventh embodiments, the case where the video camera video is recorded in the recording device 8 at a reduced frame rate and resolution is fixed, but the operator 5 uses the thinning means. Since the thinning time can be set externally with respect to 21, the thinning time can be freely set according to the capacity of the recording device 8, the type and characteristics of the abnormality occurring in the target plant, and the like. it can.

Next, the operation will be described in detail. The outline of the operation is the same as that shown in the eighth to tenth embodiments, and the following functions are added to them.

The operator 5 records at a high frame rate or high resolution from the video camera image several frames before the occurrence of the abnormality, and up to how many frames after the abnormality is detected. Whether to record at the resolution can be set for the thinning means 21. The details of the number of frames set externally by the operator 5 are as shown in FIG. 25. It is possible to set how many frames are to be recorded at a high frame rate or a high resolution before and after the occurrence of an abnormality. Other video camera images are recorded at a low frame rate or a low resolution.

In the video surveillance system described in the twelfth embodiment, the time for recording at a high frame rate or recording at a high resolution can be set from the outside. By setting the recording time at a high frame rate or a high resolution in accordance with the type and characteristics of the abnormality that occurs in the plant, the recording can be performed more freely and more efficiently.

[0087]

As described above, according to the present invention, the occurrence of an abnormality is automatically detected by performing image processing on the video camera image, and when an abnormality occurs, the video camera image at the location where the abnormality has occurred is automatically switched. Since the information is displayed on the monitoring system display unit, the operator can immediately know the occurrence of the abnormality, and can take prompt measures by the operator, for example, an instruction to extinguish a fire in the case of a fire. Further, when an abnormality occurs, the operator does not miss an abnormality in the plant because a video camera image other than the location where the abnormality occurred is displayed on the video monitoring system display unit.

Also, a sound sensor is installed in the plant, and data sent from the sound sensor is analyzed by the sound sensor data analyzing means so that abnormalities in the plant are automatically detected. Abnormalities that cannot be detected only by automatic detection of abnormalities caused by processing, such as abnormal noise inside the device but the external shape of the device has not changed, or out of the range of the video camera image In the case where an abnormality has occurred, the abnormality can be automatically detected. In addition, since sound sensors are inexpensive compared to video cameras, it is possible to install more sound sensors in a plant than video cameras, and a wider range of abnormalities, including areas where no video cameras are installed. When the detection is required, there is an effect that the system can be configured relatively inexpensively.

Also, a vibration sensor is installed in the plant, and the data sent from the vibration sensor is analyzed by the vibration sensor data analyzing means so that abnormalities in the plant are automatically detected. Abnormalities that cannot be detected by automatic detection of abnormalities caused by processing or automatic detection of abnormalities by the sound sensor.For example, when a device abnormality causes delicate vibration of the device that cannot be detected by image processing or a sound sensor. Alternatively, even when an abnormality occurs outside the range of the video image of the video camera, the abnormality can be automatically detected.

Further, a temperature sensor is installed in the plant, and the data sent from the temperature sensor is analyzed by the temperature sensor data analysis means so that abnormalities in the plant are automatically detected. Abnormalities that cannot be detected by automatic detection of abnormalities due to processing, automatic detection of abnormalities by the sound sensor, or automatic detection of abnormalities by the vibration sensor, for example, when a chemical substance generates an abnormal reaction and generates heat in a scientific plant, etc. Also, when an abnormality occurs outside the range of the video image of the video camera, the abnormality can be automatically detected.

Further, an odor sensor is installed in the plant,
Anomalies in the plant are automatically detected by analyzing the data sent from the odor sensor by the odor sensor data analysis means. Automatic detection of abnormalities that cannot be detected by automatic detection of abnormalities by a vibration sensor or automatic detection of abnormalities by a temperature sensor, for example, when a harmful gas has flowed into the plant. Detection becomes possible.

Further, a memory for temporarily storing a video camera image is provided inside the recording device and the video monitoring system main unit, and the video camera image from before the occurrence of the abnormality is stored in the recording device. Since recording can be performed and reproduction can be performed later, it is possible to repeatedly see the progress from the stage before the occurrence of the abnormality in the plant, and it can be used for the purpose of investigating the cause of the occurrence of the abnormality in the plant. In addition, since the video camera image can be recorded from the stage before the occurrence of the abnormality, it is possible to observe the circumstances that led to the occurrence of the abnormality. In particular, as for the recording time after the occurrence of the abnormality, the recording time can be freely determined regardless of the capacity of the memory to be mounted, so that it is possible to flexibly cope with the type of the abnormality that has occurred. Further, in the prior art, in order to extend the recording time after the occurrence of an abnormality, it was necessary to increase the capacity of the memory to be mounted. However, according to the present invention, it is not necessary to increase the memory, and it is economical and flexible. Becomes possible.

Further, since the time for recording the video camera image before the occurrence of the abnormality can be externally set in the memory temporary storage means, the capacity of the memory and the recording device, the type of the abnormality occurring in the target plant can be set. The recording time can be set more freely and more efficiently by setting the recording time according to the characteristics and characteristics.

Further, a frame thinning-out means for thinning out frames from the video camera image is provided. Important video camera images before and after the occurrence of the abnormality are recorded at a high frame rate, and the video camera image after a fixed time after the occurrence of the abnormality is recorded. Since the video data is recorded in the recording device by reducing the data amount by thinning out the video data, it is possible to reduce the amount of use of the recording device, and it is possible to efficiently perform recording in the recording device.

Further, since the frame rate for recording the video image of the video camera in the recording device can be set externally to the frame thinning means, the amount of use of the recording device can be controlled by the set frame rate. In addition to the fact that the amount of data used can be reduced, more flexible measures such as setting a high frame rate when detailed data is required are possible.

Further, a resolution changing means is provided to reduce the resolution of the video camera video after a certain period of time after the occurrence of the abnormality by thinning out the video data. Since the amount of recording is reduced, the amount of use of the recording apparatus can be reduced, and recording on the recording apparatus can be performed efficiently.

Further, since the resolution for recording the video image of the video camera can be externally set to the resolution changing means, the usage of the recording apparatus can be controlled by the set resolution, and the usage of the recording apparatus can be reduced. In addition to being able to reduce the number, when more detailed data is needed, more flexible measures such as setting a higher resolution are possible.

Further, since the time for recording at a high frame rate or recording at a high resolution can be set from the outside, the capacity of the memory and the recording device, the type and characteristics of abnormalities occurring in the target plant, etc. By setting the recording time at a high frame rate or a high resolution according to the above, recording can be performed more freely and more efficiently.

[Brief description of the drawings]

FIG. 1 is a block diagram showing a video surveillance system according to Embodiment 1 of the present invention.

FIG. 2 is a diagram showing a display example of a video monitoring system display unit used in the first embodiment.

FIG. 3 is a block diagram illustrating a configuration of a video surveillance system body used in the first embodiment.

FIG. 4 is a block diagram showing a video surveillance system according to Embodiment 2 of the present invention.

FIG. 5 is a block diagram illustrating a configuration of a video surveillance system body used in the second embodiment.

FIG. 6 is a block diagram showing a video surveillance system according to Embodiment 3 of the present invention.

FIG. 7 is a block diagram showing a configuration of a video monitoring system main body used in a third embodiment.

FIG. 8 is a block diagram showing a video surveillance system according to Embodiment 4 of the present invention.

FIG. 9 is a block diagram showing a configuration of a video surveillance system used in the fourth embodiment.

FIG. 10 is a block diagram showing a video surveillance system according to Embodiment 5 of the present invention.

FIG. 11 is a block diagram showing a configuration of a video surveillance system body used in a fifth embodiment.

FIG. 12 is a block diagram showing a video surveillance system according to Embodiment 6 of the present invention.

FIG. 13 is a block diagram illustrating a configuration of a video surveillance system used in the sixth embodiment.

FIG. 14 is a diagram illustrating a method of using a memory used in the sixth embodiment.

FIG. 15 is a block diagram showing a configuration of a video surveillance system body used in Embodiment 7 of the present invention.

FIG. 16 is a timing chart illustrating the operation of the seventh embodiment.

FIG. 17 is a block diagram showing a configuration of a video surveillance system body used in Embodiment 8 of the present invention.

FIG. 18 is a timing chart illustrating the operation of the eighth embodiment.

FIG. 19 is a block diagram showing a configuration of a video surveillance system body used in Embodiment 9 of the present invention.

FIG. 20 is a block diagram showing a configuration of a video surveillance system body used in Embodiment 10 of the present invention.

FIG. 21 is a timing chart illustrating the operation of the tenth embodiment.

FIG. 22 is an explanatory diagram relating to the resolution of a video camera image according to the tenth embodiment.

FIG. 23 is a block diagram showing a configuration of a video surveillance system body used in Embodiment 11 of the present invention.

FIG. 24 is a block diagram showing a configuration of a video surveillance system body used in Embodiment 12 of the present invention.

FIG. 25 is a timing chart illustrating the operation of the twelfth embodiment.

FIG. 26 is a block diagram showing a conventional abnormality monitoring device.

[Description of Signs] 1 plant, 2 video cameras, 3 video monitoring system main unit, 4 video monitoring system display unit, 5 operator, 6 sound sensor, 7 vibration sensor, 8 recording device, 9
Image processing means, 10 switching means, 11 video selection signal generating means, 12 sound sensor data analyzing means, 13
Vibration sensor data analysis means, 14 recording means, 15 reproduction means, 16 memories, 17 memory temporary storage means, 1
8 memory reading means, 19 frame thinning means, 20
Resolution changing means, 21 thinning means, 40 storage device, 41 temperature sensor, 42 odor sensor, 43 temperature sensor data analyzing means, 44 odor sensor data analyzing means.

Claims (14)

[Claims] 1. A plurality of video cameras for displaying the status of a system of various plants and buildings (hereinafter referred to as plants, etc.), an image monitoring system display unit for displaying images captured by these video cameras, Abnormality detection means installed in the apparatus, processing the data sent from the abnormality detection means to detect the occurrence of an abnormality in a plant or the like, and displaying the video camera image of the video monitoring system display unit, A video surveillance system, comprising: a video surveillance system main body that controls to switch to and display a video camera image of a place. 2. The video surveillance system according to claim 1, wherein the abnormality detecting means is also used as a video camera for displaying the status of the system. 3. The video surveillance system according to claim 1, wherein said abnormality detecting means comprises a plurality of sound sensors. 4. The video surveillance system according to claim 1, wherein the abnormality detecting means is a plurality of vibration sensors. 5. The video surveillance system according to claim 1, wherein said abnormality detecting means comprises a plurality of temperature sensors. 6. The video surveillance system according to claim 1, wherein the abnormality detecting means is a plurality of odor sensors. 7. The abnormality detecting means according to claim 2, wherein
2. The video surveillance system according to claim 1, wherein at least one of the two is combined. 8. The video surveillance system main body includes a video video recording unit and a video playback unit. When an abnormality occurs in a plant or the like, a video camera image of a place where the abnormality has occurred is imaged a predetermined time before the occurrence of the abnormality. The video surveillance system according to any one of claims 1 to 7, wherein all of the video after the video recording can be recorded and reproduced. 9. The video surveillance system body can be externally set from which point before the occurrence of the abnormality the video camera image to be recorded in the recording means when an abnormality occurs. 8. The video surveillance system according to 8. 10. The video surveillance system body includes a frame thinning means for video signals, and when recording a video, for a certain period of time before and after the occurrence of an abnormality, the frame rate, which is the number of frames of a video to be recorded per second, is increased. 10. The video surveillance system according to claim 8, wherein recording is performed at a reduced frame rate for other times. 11. The video surveillance system according to claim 10, wherein the video surveillance system main body can externally set a frame rate for recording in the recording means. 12. The video surveillance system body includes means for changing the resolution of a video signal. During video recording, a video is recorded at a high resolution for a certain period of time before and after the occurrence of an abnormality. 10. The video surveillance system according to claim 8, wherein resolution is reduced and recorded by a method such as thinning out data. 13. The video surveillance system according to claim 12, wherein the video surveillance system main body is capable of externally setting a resolution for recording on the recording means. 14. The video monitoring system according to claim 10, wherein a time for recording at a higher frame rate and a time for recording at a higher resolution can be externally set. 13. The video monitoring system according to item 12.