JP6964030B2 - Monitoring system and monitoring method - Google Patents

Description

The present invention relates to a monitoring system and a monitoring method.

A monitoring system for monitoring intruders or equipment abnormalities is applied to vast sites such as factories from the viewpoint of preventing accidents.

Patent Document 1 discloses a technique for performing image processing using images acquired by a surveillance camera in order to monitor an intruder into a factory or the like. Patent Document 2 discloses a technique for performing image processing using an image acquired by a surveillance camera in order to monitor equipment abnormalities at an LNG (Liquefied Natural Gas) base or the like.

Japanese Unexamined Patent Publication No. 2011-145839 Japanese Unexamined Patent Publication No. 2001-76268

However, although the techniques disclosed in Patent Documents 1 and 2 can constantly monitor intruders or equipment abnormalities, they impose a heavy load on resources such as computers, and the load on the resources is the processing capacity of the resources. It is easy to reach the limit. For this reason, the techniques disclosed in Patent Documents 1 and 2 are likely to cause a situation in which an intruder or an equipment abnormality cannot be reliably detected, and it is difficult to ensure the soundness of the system. In addition, increasing the processing capacity of resources requires a great deal of labor and is not easy.

The present invention has been made in view of the above circumstances, and it is an example of a problem to solve the above-mentioned problems. That is, one example of the subject of the present invention is to provide a monitoring system and a monitoring method that can easily ensure the soundness of the system.

The monitoring system according to one aspect of the present invention is based on the monitoring camera that monitors the monitoring area, the approaching object detection sensor that detects the approaching object to the monitoring area, and the detection result of the approaching object detection sensor. An approach area specifying unit that identifies the approach area of the approaching object from the monitoring area, a locus specifying unit that identifies the trajectory of the approaching object based on the image of the approaching area acquired by the monitoring camera, and the above. Corresponds to the locus based on the equipment identification unit that identifies the equipment corresponding to the locus from the equipment provided in the monitoring area and the image of the equipment corresponding to the locus acquired by the surveillance camera. It is provided with a determination unit for determining the presence or absence of an abnormality in the equipment.

Preferably, the monitoring system is included in the monitoring area based on the leakage target detection sensor for detecting the leakage target leaked from the equipment provided in the monitoring area and the detection result of the leakage target detection sensor. Further includes a generation area specifying unit that identifies the generation area where the leakage of the leakage target has occurred, and the determination unit is a person in the generation area based on an image of the generation area acquired by the surveillance camera. Judge the existence of.

Preferably, in the monitoring system, the approaching object detection sensor is a sensor capable of detecting the leak target, and the leak diffuses from the generation area based on the detection result of the approaching object detection sensor. A diffusion area specifying unit for specifying a target diffusion area is further provided, and the determination unit determines the presence or absence of a person in the diffusion area based on an image of the diffusion area acquired by the surveillance camera.

Preferably, in the monitoring system, the leak target is a gas, the leak target detection sensor is a gas detector, and the approaching object detection sensor emits infrared rays having a wavelength that can be absorbed by the gas. It is a sensor.

The monitoring method according to one aspect of the present invention includes an approaching object detection step of detecting an approaching object to the monitoring area by the approaching object detection sensor, and the monitoring area based on the detection result of the approaching object detection sensor. An approach area specifying step for specifying the approach area of the approaching object, a trajectory specifying step for specifying the trajectory of the approaching object based on the image of the approaching area acquired by the surveillance camera, and a trajectory specifying step provided in the monitoring area. Presence or absence of abnormality of the equipment corresponding to the locus based on the equipment identification step for specifying the equipment corresponding to the locus and the image of the equipment corresponding to the locus acquired by the surveillance camera. It is provided with a first judgment step for judging.

Preferably, the monitoring method is based on a leak target detection step of detecting a leak target leaked from the equipment provided in the monitoring area by a leak target detection sensor and a detection result of the leak target detection sensor. The presence or absence of a person in the occurrence area is determined based on the occurrence area identification step for identifying the occurrence area where the leakage of the leakage target has occurred from the monitoring area and the image of the occurrence area acquired by the surveillance camera. The second judgment step to be performed is provided.

Preferably, in the monitoring method, the approaching object detection sensor is a sensor capable of detecting the leak target, and the leak diffuses from the generation area based on the detection result of the approaching object detection sensor. It further includes a diffusion area specifying step for specifying a target diffusion area, and a third determination step for determining the presence or absence of a person in the diffusion area based on the image of the diffusion area acquired by the surveillance camera.

Preferably, in the monitoring method, the leak target is a gas, the leak target detection sensor is a gas detector, and the approaching object detection sensor emits infrared rays having a wavelength that can be absorbed by the gas. It is a sensor.

Further, the means for solving the problem of the present invention can also be expressed as shown below. That is, in the monitoring method according to one aspect of the present invention, the approaching object detection step of detecting the approaching object to the monitoring area by the approaching object detection sensor and the detection result of the approaching object detection sensor of the monitoring area are used. Based on the approach area identification step of specifying the approach area of the approaching object, the approach area image acquisition step of acquiring the image of the approach area with the surveillance camera, and the image of the approach area acquired by the surveillance camera. , A locus specifying step for specifying the locus of the approaching object, a facility specifying step for specifying the equipment corresponding to the locus from the equipment provided in the monitoring area, and an image of the equipment corresponding to the locus. Based on the equipment image acquisition step acquired by the surveillance camera and the image of the equipment corresponding to the locus acquired by the surveillance camera, the first determination step of determining the presence or absence of an abnormality in the equipment corresponding to the locus. And.

The monitoring system and the monitoring method according to one aspect of the present invention can easily ensure the soundness of the system.

It is a figure which shows typically the site to which the monitoring system which concerns on Embodiment 1 of this invention is applied. It is a figure for demonstrating the configuration of the monitoring system applied to the governor station. It is a block diagram which shows the functional structure of the monitoring system which concerns on Embodiment 1. FIG. It is a flowchart which shows the flow of the monitoring process which concerns on Embodiment 1. FIG. It is a flowchart which shows the flow of the 1st monitoring process which concerns on Embodiment 1. FIG. It is a flowchart which shows the flow of the 2nd monitoring process which concerns on Embodiment 1. FIG.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.

[Embodiment 1: Configuration of monitoring system]
FIG. 1 is a diagram schematically showing a site S to which the monitoring system 1 according to the first embodiment of the present invention is applied. FIG. 2 is a diagram for explaining the configuration of the monitoring system 1 applied to the governor station. FIG. 3 is a block diagram showing a functional configuration of the monitoring system 1 according to the first embodiment.

The site S to which the monitoring system 1 is applied is a site such as a factory, a facility, a base, a business establishment, a construction site, or a controlled area. Preferably, the site S is a site such as a governor station that decompresses the gas transported from the gas production base, or a valve station that shuts off the gas transportation in the event of a disaster or the like. The gas may be a flammable gas or a city gas containing a component such as methane.

In FIGS. 1 and 2, a governor station is shown as an example of the site S to which the monitoring system 1 is applied. In this site S, there is a management building B1 which is a building for managing various facilities provided in the site S, a governor room B2 which is a building provided with a governor G for decompressing gas, and in the event of a disaster, etc. A dissipation tower T that discharges gas into the atmosphere is provided.

The governor G and the emission tower T are connected by a gas pipe P. The gas pipe P includes a pipe for transporting gas from the gas production base to the governor station and for transporting gas from the governor station to another place, as well as a pipe communicating with the conduit. As shown in FIG. 2, the gas pipe P is provided with a valve V that regulates the flow of gas.

The governor chamber B2 includes a filter F arranged on the upstream side of the governor G to remove impurities contained in the gas, and a heater H arranged on the downstream side of the governor G to heat the gas cooled by decompression in the governor G. Is provided.

The monitoring system 1 is a system that monitors whether moving objects such as people, animals, and vehicles have entered the site S and its surroundings, and also monitors the operating status of equipment provided in the monitoring area A. Is. The monitoring area A of the monitoring system 1 is an area inside the site S and around the site S. The monitoring area A includes the inside of the building provided on the site S such as the administration building B1 and the governor room B2. The equipment monitored by the monitoring system 1 includes at least a gas pipe P, a governor G, a valve V, a heater H and a emission tower T. In the present embodiment, the object that enters the monitoring area A is also simply referred to as an “approaching object”.

As shown in FIGS. 2 and 3, the surveillance system 1 includes a surveillance camera 2, an approaching object detection sensor 3, a leak target detection sensor 4, a notification device 5, and a monitoring control device 10.

The surveillance camera 2 is a camera for monitoring the surveillance area A. The image acquired by the surveillance camera 2 includes a still image and a moving image. A plurality of surveillance cameras 2 are arranged inside and outside the building provided on the site S so that the surveillance area A can be monitored all over.

The approaching object detection sensor 3 is a sensor that detects an approaching object entering the monitoring area A. The approaching object detection sensor 3 can be composed of a reflective or transmissive infrared sensor that emits infrared rays. Preferably, the approaching object detection sensor 3 is an infrared sensor that emits infrared rays having a wavelength that can be absorbed by the gas flowing through the gas pipe P. That is, the approaching object detection sensor 3 can be composed of a sensor capable of detecting gas in addition to the approaching object. A plurality of approaching object detection sensors 3 are arranged inside and outside the building provided on the site S so that an approaching object entering the monitoring area A can be detected without omission.

The leak target detection sensor 4 is a sensor that detects a leak target leaked from equipment provided in the monitoring area A. The leak target is, for example, the gas leaked from the gas pipe P. When the leak target is gas, the leak target detection sensor 4 can be configured by a gas detector that detects a gas component and its concentration. The leak target detection sensor 4 may be a gas detector using infrared rays having a wavelength that can be absorbed by the gas flowing through the gas pipe P. The leak target detection sensor 4 may be arranged only in a place where gas leaks easily among the equipment provided in the monitoring area A. For example, the leak target detection sensor 4 may be arranged at a joint of the gas pipe P, a valve, a mounting portion of the pressure gauge M, or the like.

The notification device 5 is a device that notifies information such as an alarm to a person existing in the monitoring area A. The notification device 5 is composed of a speaker, a display, and the like. A plurality of notification devices 5 are arranged inside and outside the building provided on the site S so that information can be reliably notified to a person existing in the monitoring area A.

The monitoring control device 10 is a control device that comprehensively controls each component of the monitoring system 1. The monitoring control device 10 may be provided in the management building B1. A speaker and a display (not shown) are connected to the monitoring control device 10, and the monitoring status can be notified to the operator of the management building B1 in real time.

As shown in FIG. 3, the monitoring control device 10 includes a receiving unit 11, a transmitting unit 12, and a control unit 20.

The receiving unit 11 is connected to each of the surveillance camera 2, the approaching object detection sensor 3, and the leak target detection sensor 4 by wire or wirelessly. The transmission unit 12 is connected to the notification device 5 by wire or wirelessly. Further, the transmission unit 12 is connected by wire or wirelessly to the command center C that manages the entire gas supply network including the gas production base, the governor station, and the valve station.

The receiving unit 11 and the transmitting unit 12 are connected to the control unit 20, respectively, and perform reception processing and transmission processing of various information under the control of the control unit 20. The receiving unit 11 and the transmitting unit 12 may be composed of one communication module.

The control unit 20 is a control unit including a processor and a storage device, and also includes various software in which various functions of the monitoring control device 10 are implemented.

Specifically, the control unit 20 includes an approach area specifying unit 21 that identifies an approach area that is an area in which the approaching object has entered from the monitoring area A based on the detection result of the approaching object detection sensor 3. The approach area specifying unit 21 can specify the approach area by specifying a predetermined area including the position of the approach object detection sensor 3 that has detected the approach object. When an approaching object moves and is detected by one approaching object detection sensor 3 and then detected by another approaching object detection sensor 3, the position of the approaching area also changes from the position of the one approaching object detection sensor 3. , Can change to the position of another approaching object detection sensor 3.

Further, the control unit 20 includes a locus specifying unit 22 that identifies the locus of the approaching object based on the image of the approach area acquired by the surveillance camera 2. The locus of the approaching object is the movement path of the approaching object in the monitoring area A. The locus specifying unit 22 can identify the locus of the approaching object by performing image recognition on the image of the approaching area in chronological order.

Further, the control unit 20 includes an equipment specifying unit 23 that specifies the equipment corresponding to the trajectory of the approaching object from the equipment provided in the monitoring area A. The equipment corresponding to the locus of the approaching object is the equipment existing on or near the locus of the approaching object in the monitoring area A.

Further, the control unit 20 includes a determination unit 24 that determines whether or not there is an abnormality in the equipment based on the image of the equipment corresponding to the trajectory of the approaching object acquired by the surveillance camera 2. That is, the determination unit 24 can inspect the equipment based on the image of the equipment and determine the operating status of the equipment. The determination unit 24 can determine the presence or absence of an abnormality in the equipment by preferentially performing image recognition from the images of the equipment important for safety among the equipment corresponding to the trajectory of the approaching object. Alternatively, the determination unit 24 may determine the presence or absence of an abnormality in the equipment by performing image recognition on the image of the equipment corresponding to the trajectory of the approaching object in chronological order.

Further, the control unit 20 includes a generation area specifying unit 25 that identifies a generation area that is an area where the leakage of the leakage target has occurred from the monitoring area A based on the detection result of the leakage target detection sensor 4. The generation area specifying unit 25 can specify the generation area by specifying a predetermined area including the position of the leakage target detection sensor 4 that has detected the leakage target. The determination unit 24 can determine the presence or absence of a person in the generation area by performing image recognition on the image of the generation area acquired by the surveillance camera 2.

Further, the control unit 20 includes a profile creation unit 26 that creates a profile of the leaked target based on the detection result of the approaching object detection sensor 3. When the target of leakage is gas, the generated gas can diffuse into the atmosphere while being affected by the wind direction, wind speed, and the like. The leak target profile is information indicating the spatial concentration of the leak target and how the distribution changes over time. That is, the profile includes the result of predicting the diffusion status of the leak target in the future in addition to the result of measuring the diffusion status of the current leak target. As described above, the approaching object detection sensor 3 can be composed of a sensor capable of detecting a leak target in addition to the approach object, and can detect a component of the leak target and its concentration.

The profile creation unit 26 can acquire the component of the leak target and its concentration from the detection result of the approaching object detection sensor 3, and acquires the position information of the leak target from the position of the approaching object detection sensor 3 that has detected the leak target. can do. In addition, the profile creation unit 26 can acquire climate information such as the wind direction, wind speed, and temperature of the monitoring area A from the measurement results of the anemometer, the thermometer, and the like. Then, the profile creation unit 26 creates a profile to be leaked based on each acquired information.

Further, the control unit 20 includes a risk evaluation unit 27 that evaluates the risk in the monitoring area A based on the detection result of the approaching object detection sensor 3. Specifically, the risk evaluation unit 27 evaluates the risk using the leak target profile created based on the detection result of the approaching object detection sensor 3. The degree of risk is an index showing the degree to which the leak target has an adverse effect on the human body, the environment, and the like. The degree of risk may be expressed by a plurality of levels classified according to the concentration range of the leak target. The evaluation result of the risk assessment unit 27 may include not only the risk of the leak target in the current monitoring area A but also the transition of the risk in the future. The determination unit 24 can determine whether or not there is an area in the monitoring area A whose risk level is out of the permissible range. The permissible range is a predetermined range in consideration of the influence of the leak target on the human body and the environment.

Further, the control unit 20 includes a diffusion area specifying unit 28 that specifies a diffusion area, which is an area where the leakage target diffuses from the generation area, based on the detection result of the approaching object detection sensor 3. Specifically, the diffusion area specifying unit 28 identifies the diffusion area to be leaked based on the risk level evaluated by the risk level evaluation unit 27 based on the detection result of the approaching object detection sensor 3. For example, the diffusion area specifying unit 28 can identify the area of the monitoring area A whose risk level is determined to be out of the permissible range as the diffusion area to be leaked. The diffusion area specified by the diffusion area identification unit 28 may include not only the current diffusion area but also the transition of the diffusion area in the future. The determination unit 24 can determine the presence or absence of a person in the diffusion area by performing image recognition on the image of the diffusion area acquired by the surveillance camera 2.

[Embodiment 1: Monitoring process]
FIG. 4 is a flowchart showing the flow of the monitoring process according to the first embodiment.

In the present embodiment, the process performed by the monitoring control device 10 for monitoring the approach of the approaching object to the monitoring area A is also referred to as "first monitoring process", and is for monitoring the leakage of the leakage target in the monitoring area A. The process performed by the monitoring control device 10 is also referred to as "second monitoring process". Then, in the present embodiment, the first monitoring process and the second monitoring process are collectively referred to as "monitoring process".

As shown in step 401 and step 402 of FIG. 4, the monitoring control device 10 can perform the first monitoring process and the second monitoring process in parallel. The details of the first monitoring process will be described later with reference to FIG. The details of the second monitoring process will be described later with reference to FIG.

FIG. 5 is a flowchart showing the flow of the first monitoring process according to the first embodiment.

In step 501, the monitoring control device 10 determines whether or not an approaching object entering the monitoring area A has been detected based on the detection result of the approaching object detection sensor 3. When the approaching object is not detected, the monitoring control device 10 ends this process. On the other hand, when the approaching object is detected, the monitoring control device 10 proceeds to step 502.

In step 502, the monitoring control device 10 identifies the position of the approaching object detection sensor 3 that has detected the approaching object.

In step 503, the monitoring control device 10 identifies the approach area based on the position of the identified approach object detection sensor 3.

In step 504, the surveillance control device 10 acquires an image of the identified approach area from the surveillance camera 2.

In step 505, the monitoring control device 10 performs image recognition on the acquired image of the approach area and extracts an image of the approach object.

In step 506, the monitoring control device 10 determines whether or not the approaching object is an intruder based on the extracted image of the approaching object. Specifically, the monitoring control device 10 determines whether or not the extracted image of the approaching object indicates an object such as a person or a vehicle that has been permitted to enter in advance, so that the approaching object is an intruder. Judge whether or not.

When the extracted image of the approaching object indicates an object that has been permitted to enter in advance, the monitoring control device 10 determines that the approaching object is not an intruder and ends this process. On the other hand, when the extracted image of the approaching object does not indicate the object permitted to enter in advance, the monitoring control device 10 further performs image recognition. Then, when the extracted image of the approaching object indicates an object that is unlikely to cause harm to equipment such as a small animal, the monitoring control device 10 determines that the approaching object is not an intruder and ends this process. Further, when the extracted image of the approaching object is an object that is likely to cause harm to equipment such as a person or a vehicle, the monitoring control device 10 determines that the approaching object is an intruder, and proceeds to step 507. Transition.

In step 507, the monitoring control device 10 notifies the command center C that an intruder has been found, and causes the notification device 5 to notify an alarm.

In step 508, the surveillance control device 10 continues to acquire the image of the approach area including the image of the approaching object by the surveillance camera 2 and tracks the approaching object.

In step 509, the monitoring control device 10 identifies the trajectory of the approaching object based on the acquired image of the approaching area.

In step 510, the monitoring control device 10 identifies the equipment corresponding to the trajectory of the identified approaching object.

In step 511, the monitoring control device 10 acquires an image of the identified equipment. At this time, the monitoring control device 10 may acquire an image of the specified equipment using the image acquired in step 508. Alternatively, the surveillance control device 10 may newly acquire an image of the specified equipment from the surveillance camera 2.

In step 512, the monitoring control device 10 performs image recognition on the acquired image of the equipment and determines whether or not there is an abnormality in the identified equipment. Specifically, the monitoring control device 10 determines whether or not there is an abnormality in the identified equipment by determining whether or not the acquired image of the equipment has a significant difference from the image of the normal equipment. You can judge. This significant difference means, for example, that the acquired image of the equipment includes the image of the leaked object leaking, while the image of the normal equipment does not include the image of the leaked object leaking. Things and so on. If there is an abnormality in the identified equipment, the monitoring and control device 10 proceeds to step 514. On the other hand, if there is no abnormality in the specified equipment, the monitoring control device 10 proceeds to step 513.

In step 513, the monitoring control device 10 notifies the command center C that there is no abnormality in the equipment. After that, the monitoring control device 10 ends this process.

In step 514, the monitoring control device 10 stops the operation of the equipment determined to have an abnormality and the equipment around it.

In step 515, the monitoring control device 10 notifies the command center C that there is an abnormality in the equipment. After that, the monitoring control device 10 ends this process.

FIG. 6 is a flowchart showing the flow of the second monitoring process according to the first embodiment.

In step 601 the monitoring control device 10 determines whether or not the leak target has been detected based on the detection result of the leak target detection sensor 4. If the leak target is not detected, the monitoring control device 10 ends this process. On the other hand, when the leakage target is detected, the monitoring control device 10 proceeds to step 602.

In step 602, the monitoring control device 10 identifies the position of the leak target detection sensor 4 that has detected the leak target.

In step 603, the monitoring control device 10 identifies the occurrence area based on the position of the identified leakage target detection sensor 4.

In step 604, the monitoring control device 10 stops the operation of the equipment determined to have leaked the leak target and the equipment around it.

In step 605, the monitoring control device 10 notifies the command center C that the leakage of the leakage target has occurred. At this time, the monitoring control device 10 may notify the alarm from the notification device 5.

In step 606, the surveillance control device 10 acquires an image of the identified generation area from the surveillance camera 2.

In step 607, the monitoring control device 10 performs image recognition on the acquired image of the generation area and determines whether or not a person exists in the generation area. If there is no person in the generation area, the monitoring control device 10 proceeds to step 609. On the other hand, when a person exists in the generation area, the monitoring control device 10 shifts to step 608.

In step 608, the monitoring control device 10 notifies the command center C that a person exists in the generation area, and causes the notification device 5 to notify the alarm. At this time, the monitoring control device 10 can notify the alarm only to the notification device 5 arranged in or near the generation area.

In step 609, the monitoring control device 10 acquires the detection result of the approaching object detection sensor 3.

In step 610, the monitoring control device 10 creates a leak target profile based on the acquired detection result of the approaching object detection sensor 3.

In step 611, the monitoring control device 10 evaluates the risk level of the leakage target in the monitoring area A using the created profile.

In step 612, the monitoring control device 10 determines whether or not there is an area where the risk level is out of the permissible range. The monitoring control device 10 proceeds to step 614 when there is an area where the risk level is out of the permissible range. On the other hand, the monitoring control device 10 proceeds to step 613 when there is no area where the risk level is out of the permissible range, that is, when the risk level is within the permissible range.

In step 613, the monitoring control device 10 notifies the command center C that the diffusion of the leak target is within the permissible range. After that, the monitoring control device 10 ends this process.

In step 614, the monitoring control device 10 identifies the diffusion area based on the risk evaluation result.

In step 615, the monitoring control device 10 notifies the command center C that the diffusion of the leakage target is out of the permissible range.

In step 616, the surveillance control device 10 acquires an image of the identified diffusion area from the surveillance camera 2.

In step 617, the monitoring control device 10 performs image recognition on the acquired image of the diffusion area and determines whether or not a person exists in the diffusion area. The monitoring control device 10 ends this process when there is no person in the diffusion area. On the other hand, when a person is present in the diffusion area, the monitoring control device 10 shifts to step 618.

In step 618, the monitoring control device 10 notifies the command center C that a person is present in the diffusion area, and the notification device 5 notifies the alarm. At this time, the monitoring control device 10 can notify the alarm only to the notification device 5 arranged in the diffusion area and its vicinity. After that, the monitoring control device 10 ends this process.

In step 612, the monitoring control device 10 does not perform either the process of step 613 or the process after step 614 after determining whether or not there is an area whose risk level is out of the permissible range. , Other processing may be performed depending on the degree of risk. As a result, the monitoring control device 10 can perform various processes according to the degree of danger, and can more appropriately respond to the diffusion state of the leakage target.

Further, in step S604, the monitoring control device 10 performs a process of stopping the operation of the equipment determined to have leaked the leak target and the equipment around it, but this process is not an essential process and is not essential. It may be done as needed. Similarly, in step S514 of FIG. 5, the monitoring control device 10 performs a process of stopping the operation of the equipment determined to have an abnormality and the equipment around it, but this process is not an essential process and is not essential. It may be done as needed.

[Embodiment 1: Action / Effect]
As described above, the monitoring system 1 includes a monitoring camera 2 that monitors the monitoring area A and an approaching object detection sensor 3 that detects an approaching object to the monitoring area A. Further, the monitoring system 1 identifies the trajectory of the approaching object based on the approaching area specifying unit 21 that identifies the approaching area based on the detection result of the approaching object detection sensor 3 and the image of the approaching area acquired by the surveillance camera 2. The locus specifying unit 22 is provided. Further, the monitoring system 1 determines whether or not there is an abnormality in the equipment based on the equipment identification unit 23 that identifies the equipment corresponding to the trajectory of the approaching object and the image of the equipment acquired by the surveillance camera 2. And.

Therefore, the surveillance system 1 can perform image recognition on the image acquired by the surveillance camera 2 only when the approaching object is detected by the approaching object detection sensor 3. As a result, the monitoring system 1 can reliably detect an intruder without constantly performing image recognition, which imposes a heavy load on resources.

Further, the surveillance system 1 can perform image recognition on the image acquired by the surveillance camera 2 with priority given to the equipment corresponding to the trajectory of the intruder. As a result, the monitoring system 1 can reliably detect an abnormality in the equipment without constantly performing image recognition on the images of all the equipment, which imposes a heavy load on resources. Moreover, the monitoring system 1 can preferentially perform image recognition from the image of the equipment in which the abnormality is likely to occur due to the vandalism of an intruder or the like, and can quickly find the abnormality in the equipment.

Therefore, the monitoring system 1 according to the first embodiment can appropriately monitor intruders and equipment abnormalities while suppressing an increase in the load on resources, so that the soundness of the system can be easily ensured.

Further, in the monitoring system 1, the leakage target detection sensor 4 that detects the leakage target leaked from the equipment provided in the monitoring area A and the leakage target leakage occur based on the detection result of the leakage target detection sensor 4. A generation area specifying unit 25 for specifying an area can be provided. Then, in the monitoring system 1, the determination unit 24 can determine the presence or absence of a person in the generation area based on the image of the generation area acquired by the surveillance camera 2. The leak target detection sensor 4 may be arranged only in a place where gas leaks easily among the equipment provided in the monitoring area A.

Therefore, the monitoring system 1 can not only monitor the intruder and the equipment, but also monitor the leaked target leaked from the equipment at the same time. Moreover, in the monitoring system 1, since the leakage target detection sensor 4 may be arranged only in the place where the gas easily leaks, the number of the arrangements can be reduced. Then, when a person exists in the generation area, the monitoring system 1 can notify the alarm and call the attention of this person. As a result, the monitoring system 1 can monitor intruders, equipment abnormalities, and leak targets to enhance the security of the monitoring area A, which is the target of application, and can suppress human damage. Therefore, the monitoring system 1 can easily improve the soundness of the system.

Further, the monitoring system 1 is a sensor capable of detecting a leak target by the approaching object detection sensor 3, and is a diffusion area that identifies a diffusion area of the leak target that diffuses from the generation area based on the detection result of the approach object detection sensor 3. The specific unit 28 can be provided. Then, in the monitoring system 1, the determination unit 24 can determine the presence or absence of a person in the diffusion area based on the image of the diffusion area acquired by the surveillance camera 2.

Therefore, since the monitoring system 1 can also utilize the approaching object detection sensor 3 that detects the approaching object for detecting the leaking object, it is not necessary to provide a new resource for detecting the diffusion of the leaking object. Then, when a person exists in the diffusion area, the monitoring system 1 can notify the alarm and call the attention of the person. In particular, when a general house or the like exists around the site S and the diffusion area extends around the site S, there is a greater concern about the occurrence of human damage. Since the monitoring system 1 can call the attention of a person existing in the diffusion area, human damage can be further suppressed. As a result, the monitoring system 1 can more appropriately monitor intruders, equipment abnormalities, and leakage targets while further suppressing an increase in the load on resources. Therefore, the monitoring system 1 can easily improve the soundness of the system.

[Embodiment 2]
The monitoring system 1 according to the second embodiment will be described. In the description of the monitoring system 1 according to the second embodiment, the description relating to the same configuration and operation as the monitoring system 1 according to the first embodiment will be omitted because the description will be duplicated.

As described above, in the monitoring system 1 according to the first embodiment, image recognition can be performed on the image acquired by the surveillance camera 2 only when the approaching object is detected by the approaching object detection sensor 3. Here, in the surveillance system 1 according to the first embodiment, the image of the approach area can be acquired from the surveillance camera 2 in at least the following two modes.

That is, in the monitoring system 1 according to the first embodiment, the monitoring control device 10 starts taking a picture of the approaching object after the approaching object is detected by the approaching object detection sensor 3, and acquires an image of the approaching area from the monitoring camera 2. May be good. Alternatively, in the monitoring system 1 according to the first embodiment, the monitoring control device 10 starts shooting of the surveillance camera 2 before the approaching object is detected by the approaching object detection sensor 3, and after the approaching object is detected by the approaching object detection sensor 3. An image of the approach area may be acquired from the surveillance camera 2. If the surveillance camera 2 starts shooting after the approaching object is detected by the approaching object detection sensor 3, the increase in the load on the resource is suppressed. If the surveillance camera 2 starts shooting before the approaching object is detected by the approaching object detection sensor 3, the certainty of finding an intruder is increased.

In the monitoring system 1 according to the second embodiment, the monitoring control device 10 starts taking a picture of the surveillance camera 2 before the approaching object is detected by the approaching object detection sensor 3. Then, the monitoring control device 10 identifies the approach area by comparing the image acquired by the surveillance camera 2 with the detection result of the approaching object detection sensor 3. Then, the monitoring control device 10 may perform image recognition on the image of the approaching area and determine whether or not the approaching object is an intruder. As a result, in the monitoring system 1 according to the second embodiment, the intruder can be detected more reliably, so that the soundness of the system can be improved.

[Embodiment 3]
The monitoring system 1 according to the third embodiment will be described. In the description of the monitoring system 1 according to the third embodiment, the description relating to the same configuration and operation as the monitoring system 1 according to the first and second embodiments will be omitted because the description will be duplicated.

As described above, in the monitoring system 1 according to the first and second embodiments, the operating status of the equipment and the leak status of the leak target are determined based on the image acquired by the surveillance camera 2 and the detection result of the leak target detection sensor 4. You can judge.

In the monitoring system 1 according to the third embodiment, not only the acquired image of the surveillance camera 2 and the detection results of the approaching object detection sensor 3 and the leak target detection sensor 4 but also the measurement results of other measuring devices different from these are used. Then, the operating status of the equipment and the leak status of the leak target may be determined.

For example, in the monitoring system 1 according to the third embodiment, the monitoring control device 10 calculates the differential pressure of the filter F based on the measurement results of the pressure gauges M provided on the upstream side and the downstream side of the filter F. Then, when the calculated differential pressure is lower than the first threshold value, the monitoring control device 10 can determine that the filter F has an abnormality because the opening rate of the filter F does not satisfy the specifications. Further, when the calculated differential pressure is higher than the second threshold value, the monitoring control device 10 can determine that the filter F has an abnormality due to clogging of the filter F or the like. If there is an abnormality in the filter F due to clogging of the filter F or the like, there is a high possibility that the leak target will leak. The monitoring control device 10 according to the third embodiment can additionally perform image recognition on the image of the filter F, analysis of the detection result by the leakage target detection sensor 4, and the like. Further, the monitoring control device 10 according to the third embodiment can additionally perform analysis of the detection result by the approaching object detection sensor 3.

Further, for example, in the monitoring system 1 according to the third embodiment, a flow meter is provided on the upstream side of the governor G, a thermometer is provided on the heating portion of the heater H, and a wattmeter is provided on the power supply of the heater H. The measurement result of the measuring device is collected in the monitoring control device 10. Then, the monitoring control device 10 may determine the operating status of the governor G and the heater H and the leak status of the leak target based on the collected measurement results. For example, there is no contradiction between the differential pressure of the filter F assumed from the measurement result of the flow meter of the governor G and the differential pressure of the filter F calculated from the measurement result of the pressure gauge M, and the governor G and the filter F have a contradiction. It is assumed that no abnormality is found. Further, it is assumed that the measurement result of the wattmeter of the heater H is smaller than the reference value and the measurement result of the thermometer of the heater H is appropriate. In this case, it is possible that the leak target is leaking from the gas pipe P on the downstream side of the governor G and on the upstream side of the heater H. Therefore, the monitoring control device 10 can additionally perform image recognition on the image of the gas pipe P, analysis of the detection result by the leakage target detection sensor 4, and the like. Further, the monitoring control device 10 according to the third embodiment can additionally perform analysis of the detection result by the approaching object detection sensor 3.

As described above, in the monitoring system 1 according to the third embodiment, the operation status of the equipment and the leakage target are measured by using the measurement results of the measurement devices other than the surveillance camera 2, the approaching object detection sensor 3, and the leakage target detection sensor 4. The leak status can be determined. Therefore, the monitoring system 1 according to the third embodiment can more appropriately determine the operating status of the equipment and the leak status of the leak target, so that the soundness of the system can be further improved.

[others]

In the above-described embodiment, the monitoring system 1 corresponds to an example of the "monitoring system" described in the claims. The surveillance camera 2 corresponds to an example of the "surveillance camera" described in the claims. The approaching object detection sensor 3 corresponds to an example of the “approaching object detection sensor” described in the claims. The leak target detection sensor 4 corresponds to an example of the “leak target detection sensor” described in the claims. The approach area specifying unit 21 corresponds to an example of the “entry area specifying unit” described in the claims. The locus specifying unit 22 corresponds to an example of the “trajectory specifying unit” described in the claims. The equipment specifying unit 23 corresponds to an example of the “equipment specifying unit” described in the claims. The determination unit 24 corresponds to an example of the "determination unit" described in the claims. The generation area identification unit 25 corresponds to an example of the “generation area identification unit” described in the claims. The diffusion area identification unit 28 corresponds to an example of the “diffusion area identification unit” described in the claims.

In the above-described embodiment, each other's techniques can be applied to each other including the modified example. The above-described embodiment does not limit the content of the present invention, and can be modified to the extent that it does not deviate from the scope of claims.

The terms used in the above embodiments and claims should be construed as non-limiting terms. For example, the term "contains" should be construed as "not limited to what is described as including." The term "prepared" should be construed as "not limited to what is described as prepared." The term "have" should be construed as "not limited to what is described as having."

1 Surveillance system 2 Surveillance camera 3 Incoming object detection sensor 4 Leakage target detection sensor 5 Notification device 10 Surveillance control device 11 Reception unit 12 Transmission unit 20 Control unit 21 Approach area identification unit 22 Trajectory identification unit 23 Equipment identification unit 24 Judgment unit 25 Occurrence Area identification unit 26 Profile creation unit 27 Risk assessment unit 28 Diffusion area identification unit A Monitoring area B1 Administration building B2 Governor room C Command center F filter G Governor H Heater M Pressure gauge P Gas pipe S Site T Dissipation tower V valve

Claims (8)

A surveillance camera that monitors the surveillance area and
An approaching object detection sensor that detects an approaching object to the monitoring area,
Based on the detection result of the approaching object detection sensor, the approaching area specifying unit that identifies the approaching area of the approaching object from the monitoring area, and the approaching area specifying unit.
Based on the image of the approach area acquired by the surveillance camera, a locus specifying unit that identifies the locus of the approaching object, and a locus specifying unit.
The equipment identification unit that identifies the equipment corresponding to the locus from the equipment provided in the monitoring area, and the equipment identification unit.
Based on the image of the equipment corresponding to the locus acquired by the surveillance camera, a determination unit for determining whether or not there is an abnormality in the equipment corresponding to the locus, and a determination unit.
Surveillance system with. A leak target detection sensor that detects a leak target leaked from the equipment provided in the monitoring area, and a leak target detection sensor.
Based on the detection result of the leakage target detection sensor, a generation area specifying unit that identifies the occurrence area where the leakage of the leakage target has occurred from the monitoring area, and a generation area specifying unit.
Further prepare
The determination unit determines the presence or absence of a person in the generation area based on the image of the generation area acquired by the surveillance camera.
The monitoring system according to claim 1. The approaching object detection sensor is a sensor capable of detecting the leak target.
A diffusion area specifying unit for specifying the diffusion area of the leakage target diffused from the generation area based on the detection result of the approaching object detection sensor is further provided.
The determination unit determines the presence or absence of a person in the diffusion area based on the image of the diffusion area acquired by the surveillance camera.
The monitoring system according to claim 2. The target of the leak is gas.
The leak target detection sensor is a gas detector and
The approaching object detection sensor is a sensor that emits infrared rays having a wavelength that can be absorbed by the gas.
The monitoring system according to claim 2 or 3. An approaching object detection step that detects an approaching object to the monitoring area with an approaching object detection sensor,
Based on the detection result of the approaching object detection sensor, the approaching area specifying step for identifying the approaching area of the approaching object from the monitoring area, and the approaching area specifying step.
Based on the image of the approach area acquired by the surveillance camera, the trajectory identification step for identifying the trajectory of the approaching object and the trajectory identification step.
Equipment identification step to specify the equipment corresponding to the locus from the equipment provided in the monitoring area, and
Based on the image of the equipment corresponding to the locus acquired by the surveillance camera, the first determination step of determining whether or not there is an abnormality in the equipment corresponding to the locus, and
A monitoring method that includes. A leak target detection step that detects a leak target leaked from the equipment provided in the monitoring area with a leak target detection sensor, and a leak target detection step.
Based on the detection result of the leak target detection sensor, the occurrence area identification step for identifying the occurrence area where the leakage of the leakage target has occurred from the monitoring area, and the occurrence area identification step.
A second determination step of determining the presence or absence of a person in the generation area based on the image of the generation area acquired by the surveillance camera, and
The monitoring method according to claim 5, further comprising. The approaching object detection sensor is a sensor capable of detecting the leak target.
Based on the detection result of the approaching object detection sensor, a diffusion area specifying step for specifying the diffusion area of the leakage target diffused from the generation area, and a diffusion area specifying step.
Based on the image of the diffusion area acquired by the surveillance camera, a third determination step of determining the presence or absence of a person in the diffusion area, and
The monitoring method according to claim 6, further comprising. The target of the leak is gas.
The leak target detection sensor is a gas detector and
The approaching object detection sensor is a sensor that emits infrared rays having a wavelength that can be absorbed by the gas.
The monitoring method according to claim 6 or 7.

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