JP2019174903A - Monitoring system and monitoring method - Google Patents

Abstract

To provide a monitoring system and monitoring method for easily securing soundness of a system.SOLUTION: A monitoring system includes: monitoring cameras for monitoring a monitored area; approach object detection sensors for detecting an approach object to a monitored area; an approach area identification section for identifying an approach area of an approach object from a monitored area on the basis of a detection result of the approach object detection sensor; a trajectory identification section for identifying a trajectory of an approach object on the basis of an image of an approach area acquired by the monitoring camera; a facility identification section for identifying a facility corresponding to a trajectory from facilities arranged within a monitored area; and a determination section for determining presence/absence of an abnormality in a facility corresponding to a trajectory on the basis of an image of a facility corresponding to a trajectory acquired by the monitoring camera.SELECTED DRAWING: Figure 2

Description

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

  A vast site such as a factory has a monitoring system for monitoring intruders or equipment abnormalities from the viewpoint of preventing accidents.

  Patent Document 1 discloses a technique for performing image processing using an image 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 monitoring camera in order to monitor an equipment abnormality at an LNG (Liquefied Natural Gas) base or the like.

JP 2011-145839 A JP 2001-76268 A

  However, although the techniques disclosed in Patent Documents 1 and 2 can always monitor intruders or equipment abnormalities, a large load is applied to resources such as computers, and the load on the resources is the resource processing capacity. It is easy to reach the limit. For this reason, the technique disclosed in Patent Document 1 or 2 tends to cause a situation in which an intruder or equipment abnormality cannot be reliably detected, and it is difficult to ensure the soundness of the system. Further, increasing the processing capacity of resources requires a great deal of labor and is not easy.

  This invention is made | formed in view of the above-mentioned situation, and makes it an example of a subject to solve the above problems. That is, an example of the subject of this invention is providing the monitoring system and monitoring method which can ensure the soundness of a system easily.

  A monitoring system according to one aspect of the present invention includes a monitoring camera for monitoring a monitoring area, an approaching object detection sensor for detecting an approaching object to the monitoring area, and a detection result of the approaching object detection sensor, An approach area identifying unit that identifies an approach area of the approaching object from among the monitoring areas, a trajectory identifying unit that identifies a trajectory of the approaching object based on an image of the entry area acquired by the monitoring camera, and Corresponding to the trajectory based on an equipment identifying unit that identifies equipment corresponding to the trajectory from among the equipment provided in the monitoring area, and an image of the equipment corresponding to the trajectory acquired by the monitoring camera A determination unit that determines whether there is an abnormality in the facility.

  Preferably, the monitoring system includes a leakage target detection sensor that detects a leakage target that has leaked from the equipment provided in the monitoring area, and a detection result of the leakage target detection sensor. A generation area identifying unit that identifies a generation area in which the leakage of the leakage target has occurred, and the determination unit is configured to determine the person in the generation area based on the image of the generation area acquired by the monitoring camera. Determine the existence of

  Preferably, in the monitoring system, the approaching object detection sensor is a sensor capable of detecting the leakage target, and the leakage diffused from the generation area based on a detection result of the approaching object detection sensor. A diffusion area specifying unit that specifies 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 the image of the diffusion area acquired by the monitoring camera.

  Preferably, in the monitoring system, the leakage target is a gas, the leakage target detection sensor is a gas detector, and the approaching object detection sensor emits infrared light 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 an approaching object detection sensor, and a detection result of the approaching object detection sensor from the monitoring area. An entry area specifying step for specifying an entry area of the approaching object, a locus specifying step for specifying a locus of the approaching object based on an image of the entry area acquired by a monitoring camera, and a monitoring area are provided. Based on the equipment specifying step for specifying the equipment corresponding to the trajectory from among the equipment and the image of the equipment corresponding to the trajectory acquired by the monitoring camera, whether there is an abnormality in the equipment corresponding to the trajectory A first determination step of determining

  Preferably, the monitoring method is based on a leakage target detection step of detecting a leakage target leaked from the facility provided in the monitoring area by a leakage target detection sensor, and a detection result of the leakage target detection sensor, Based on an occurrence area identifying step for identifying an occurrence area where leakage of the leakage target has occurred from among the monitoring areas and an image of the occurrence area acquired by the monitoring camera, the presence / absence of a person in the occurrence area is determined. A second determination step.

  Preferably, in the monitoring method, the approaching object detection sensor is a sensor capable of detecting the leakage target, and the leakage diffused from the generation area based on a detection result of the approaching object detection sensor. A diffusion area specifying step of specifying a target diffusion area; and a third determination step of determining the presence or absence of a person in the diffusion area based on the image of the diffusion area acquired by the monitoring camera.

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

  Means for solving the problems of the present invention can also be expressed as follows. That is, the monitoring method according to one aspect of the present invention includes an approach of detecting an entry object to the monitoring area by an entry object detection sensor, and a detection result of the entry area detection sensor based on a detection result of the entry object detection sensor. Based on an approach area identifying step for identifying an approach area of the approaching object from the inside, an approach area image obtaining step for obtaining an image of the approach area by a monitoring camera, and an image of the approach area obtained by the monitoring camera A trajectory specifying step for specifying the trajectory of the approaching object, an equipment specifying step for specifying equipment corresponding to the trajectory from the equipment provided in the monitoring area, and an image of the equipment corresponding to the trajectory. The facility image acquisition step acquired by the monitoring camera, and the trajectory acquired by the monitoring camera. Wherein based on the facility of an image, and a first determination step of determining whether the equipment abnormality corresponding to the trajectory.

  The monitoring system and 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 where the monitoring system which concerns on Embodiment 1 of this invention is applied. It is a figure for demonstrating the structure 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 figure which shows the flow of the monitoring process which concerns on Embodiment 1. FIG. It is a flowchart figure which shows the flow of the 1st monitoring process which concerns on Embodiment 1. FIG. It is a flowchart figure 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 illustrating a site S to which a monitoring system 1 according to Embodiment 1 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 illustrating 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, facility, base, business office, construction site, or management area. Preferably, the site S is a site such as a governor station that depressurizes the gas transported from the gas production base or a valve station that shuts off the transport of gas when a disaster occurs. The gas may be a combustible gas or a city gas containing a component such as methane.

  A governor station is shown in FIGS. 1 and 2 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 stripping tower T for releasing gas into the atmosphere is provided.

  The governor G and the diffusion tower T are connected by a gas pipe P. The gas pipe P includes a pipe communicating with the conduit in addition to a conduit for transporting the gas from the gas production base to the governor station and transporting the gas from the governor station to another place. 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 that is disposed on the upstream side of the governor G and removes impurities contained in the gas, and a heater H that is disposed on the downstream side of the governor G and heats the gas cooled by the pressure reduction in the governor G. Is provided.

  The monitoring system 1 monitors whether or not a moving object such as a person, an animal, or a vehicle has entered the site S and its surroundings, and monitors the operating status of facilities provided in the monitoring area A It 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 buildings provided in the site S such as the management 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 diffusion tower T. In the present embodiment, the object entering the monitoring area A is also simply referred to as “entry object”.

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

  The monitoring camera 2 is a camera for monitoring the monitoring area A. The image acquired by the monitoring camera 2 includes a still image and a moving image. A plurality of monitoring cameras 2 are arranged outside the building provided in the site S so that the monitoring area A can be monitored without any problems.

  The approaching object detection sensor 3 is a sensor that detects an approaching object that enters the monitoring area A. The approaching object detection sensor 3 can be configured by a reflective or transmissive infrared sensor that emits infrared light. Preferably, the approaching object detection sensor 3 is an infrared sensor that emits infrared light 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 configured by a sensor capable of detecting gas in addition to the approaching object. A plurality of the approaching object detection sensors 3 are arranged outside the building provided in the site S so that the approaching object to 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, gas leaked from the gas pipe P. When the leakage target is a gas, the leakage 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 leakage target detection sensor 4 may be disposed only in a portion where the gas easily leaks among the facilities provided in the monitoring area A. For example, the leak target detection sensor 4 may be disposed at a joint of the gas pipe P, a valve, an attachment 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 includes a speaker and a display. A plurality of the notification devices 5 are arranged outside the building provided in 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. Note that a speaker and a display (not shown) are connected to the monitoring control device 10 and can notify the operator of the management building B1 of the monitoring status in real time.

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

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

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

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

  Specifically, the control unit 20 includes an entry area identification unit 21 that identifies an entry area that is an area where an entry object has entered from the monitoring area A based on the detection result of the entry 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 approaching object detection sensor 3 that has detected the approaching object. When the 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 is also changed from the position of the one approaching object detection sensor 3. The position of another approaching object detection sensor 3 can be changed.

  Furthermore, the control unit 20 includes a trajectory specifying unit 22 that specifies the trajectory of the approaching object based on the image of the approach area acquired by the monitoring camera 2. The trajectory of the entering object is a moving path of the entering object in the monitoring area A. The trajectory specifying unit 22 can specify the trajectory of the approaching object by performing image recognition on the image of the entrance area along the time series.

  Furthermore, the control unit 20 includes a facility specifying unit 23 that specifies a facility corresponding to the locus of the approaching object from among the facilities provided in the monitoring area A. The equipment corresponding to the trajectory of the entering object is equipment existing on and near the trajectory of the entering object in the monitoring area A.

  Further, the control unit 20 includes a determination unit 24 that determines whether there is an abnormality in the facility based on the image of the facility corresponding to the path of the approaching object acquired by the monitoring camera 2. In other words, the determination unit 24 can check the facility based on the image of the facility and determine the operating status of the facility. The determination unit 24 can determine whether there is an abnormality in the facility by preferentially recognizing an image of the facility important for safety among the facilities corresponding to the locus of the approaching object. Or the determination part 24 may determine the presence or absence of abnormality of an installation by performing image recognition along the time series about the image of the installation corresponding to the locus of the approaching object.

  Further, the control unit 20 includes a generation area specifying unit 25 that specifies a generation area that is a leakage target leakage area 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 monitoring camera 2.

  Furthermore, the control unit 20 includes a profile creation unit 26 that creates a leaked target profile based on the detection result of the approaching object detection sensor 3. When the leakage target is a gas, the generated gas can be diffused into the atmosphere while being affected by the wind direction and the wind speed. The profile of the leakage target is information indicating at what density the leakage target is spatially distributed and how the distribution changes with time. That is, the profile includes a result of predicting the future diffusion status of the leakage target in addition to the result of measuring the current diffusion status of the leakage target. As described above, the approaching object detection sensor 3 can be configured by a sensor capable of detecting a leakage target in addition to the approaching object, and can detect a component of the leakage target and its concentration.

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

  Furthermore, the control unit 20 includes a risk level evaluation unit 27 that evaluates the risk level 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 a leakage target profile created based on the detection result of the approaching object detection sensor 3. The risk level is an index indicating the degree to which the leakage target has an adverse effect on the human body and the environment. The degree of risk may be expressed by a plurality of levels classified according to the concentration range of the leakage target. The evaluation result of the risk evaluation unit 27 may include not only the risk of leakage 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 whose risk level is outside the allowable range in the monitoring area A. The allowable range is a range determined in advance in consideration of the influence of the leakage target on the human body and the environment.

  Furthermore, the control unit 20 includes a diffusion area specifying unit 28 that specifies a diffusion area that is an area where the leakage target is diffused from the generation area based on the detection result of the approaching object detection sensor 3. Specifically, the diffusion area specifying unit 28 specifies the leakage target diffusion area based on the risk evaluated by the risk evaluation unit 27 based on the detection result of the approaching object detection sensor 3. For example, the diffusion area specifying unit 28 can specify an area of the monitoring area A in which the degree of risk is determined to be outside the allowable range as a diffusion area to be leaked. The diffusion area specified by the diffusion area specifying unit 28 may include not only the current diffusion area but also future transition of the diffusion area. The determination unit 24 can determine whether a person exists in the diffusion area by performing image recognition on the image of the diffusion area acquired by the monitoring camera 2.

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

  In the present embodiment, the process performed by the monitoring control device 10 to monitor the approach of an approaching object to the monitoring area A is also referred to as “first monitoring process”, and the leakage of the leakage target in the monitoring area A is monitored. The processing performed by the monitoring control device 10 is also referred to as “second monitoring processing”. 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 in FIG. 4, the monitoring control apparatus 10 can perform the first monitoring process and the second monitoring process in parallel. Details of the first monitoring process will be described later with reference to FIG. Details of the second monitoring process will be described later with reference to FIG.

  FIG. 5 is a flowchart illustrating 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 is detected based on the detection result of the approaching object detection sensor 3. The supervisory control device 10 ends the process when no approaching object is detected. On the other hand, when the approaching object is detected, the monitoring control apparatus 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 specifies an approach area based on the position of the specified approaching object detection sensor 3.

  In step 504, the monitoring control apparatus 10 acquires an image of the specified approach area from the monitoring camera 2.

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

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

  When the extracted image of the approaching object indicates an object 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 an object permitted to enter in advance, the monitoring control apparatus 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 and control apparatus 10 determines that the approaching object is not an intruder and ends this process. If the extracted image of the approaching object is an object that is highly likely to cause harm to equipment such as a person or a vehicle, the monitoring control apparatus 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 issue an alarm.

  In step 508, the monitoring control apparatus 10 keeps acquiring the image of the approach area including the image of the approaching object by the monitoring camera 2 and tracks the approaching object.

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

  In step 510, the monitoring control device 10 specifies equipment corresponding to the specified locus of the approaching object.

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

  In step 512, the monitoring and control apparatus 10 performs image recognition on the acquired equipment image and determines whether or not there is an abnormality in the specified equipment. Specifically, the monitoring and control apparatus 10 determines whether or not the specified equipment has an abnormality by determining whether or not the acquired equipment image has a significant difference from the normal equipment image. Judgment can be made. This significant difference means that, for example, the acquired equipment image includes an image in which the leakage target is leaked, whereas a normal equipment image does not include the image in which the leakage target is leaked. And so on. If there is an abnormality in the specified equipment, the monitoring control apparatus 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. Thereafter, the monitoring control device 10 ends this process.

  In step 514, the monitoring and control apparatus 10 stops the operation of the equipment that is determined to be abnormal and the surrounding equipment.

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

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

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

  In step 602, the monitoring control apparatus 10 specifies the position of the leakage target detection sensor 4 that has detected the leakage target.

  In step 603, the monitoring control device 10 specifies the generation area based on the specified position of the leakage target detection sensor 4.

  In step 604, the monitoring and control apparatus 10 stops the operation of the equipment determined to have leaked and the surrounding equipment.

  In step 605, the monitoring and control apparatus 10 notifies the command center C that a leakage subject to leakage has occurred. At this time, the monitoring control device 10 may notify the alarm from the notification device 5.

  In step 606, the monitoring control apparatus 10 acquires an image of the identified occurrence area from the monitoring camera 2.

  In step 607, the monitoring control apparatus 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 no person is present in the generation area, the monitoring control apparatus 10 proceeds to step 609. On the other hand, if there is a person in the generation area, the monitoring control apparatus 10 proceeds to step 608.

  In step 608, the monitoring control device 10 notifies the command center C that a person is present in the generation area and also notifies the alarm from the notification device 5. At this time, the monitoring control device 10 can notify the alarm only to the generating device and the notification device 5 arranged in the vicinity thereof.

  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 leakage target profile based on the acquired detection result of the approaching object detection sensor 3.

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

  In step 612, the monitoring control apparatus 10 determines whether or not there is an area whose risk is outside the allowable range. If there is an area whose risk is outside the allowable range, the monitoring control apparatus 10 proceeds to step 614. On the other hand, if there is no area whose risk is outside the allowable range, that is, if the risk is within the allowable range, the monitoring control apparatus 10 proceeds to step 613.

  In step 613, the monitoring control apparatus 10 notifies the command center C that the diffusion of the leakage target is within the allowable range. Thereafter, the monitoring control device 10 ends this process.

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

  In step 615, the monitoring control apparatus 10 notifies the command center C that the diffusion of the leakage target is outside the allowable range.

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

  In step 617, the monitoring control apparatus 10 performs image recognition on the acquired image of the diffusion area, and determines whether or not a person exists in the diffusion area. If there is no person in the diffusion area, the monitoring control device 10 ends this process. On the other hand, if there is a person in the diffusion area, the monitoring control apparatus 10 proceeds 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 also notifies the alarm from the notification device 5. At this time, the monitoring control device 10 can notify the alarm only to the notification device 5 arranged in the diffusion area and the vicinity thereof. Thereafter, the monitoring control device 10 ends this process.

  Note that the monitoring control apparatus 10 does not perform either the processing in step 613 or the processing in and after step 614 after determining whether or not there is an area whose risk is outside the allowable range in step 612. Depending on the degree of risk, other processes may be performed. Thereby, since the monitoring and control apparatus 10 can perform various processes according to the degree of risk, it can more appropriately cope with the diffusion state of the leakage target.

  In addition, the monitoring control device 10 performs the process of stopping the operation of the equipment that has been determined to have leaked in step S604 and the surrounding equipment, but this process is not an essential process. It may be performed as necessary. Similarly, the monitoring control device 10 performs processing for stopping the operation of the equipment that is determined to be abnormal and the surrounding equipment in step S514 of FIG. 5, but this processing is not an essential processing. It may be performed as necessary.

[Embodiment 1: Effects]
As described above, the monitoring system 1 includes the monitoring camera 2 that monitors the monitoring area A and the approaching object detection sensor 3 that detects an approaching object to the monitoring area A. Further, the monitoring system 1 specifies an approach area specifying unit 21 that specifies an approach area based on the detection result of the approach object detection sensor 3, and specifies the locus of the approaching object based on the image of the approach area acquired by the monitoring camera 2. And a trajectory specifying unit 22. Furthermore, the monitoring system 1 includes an equipment specifying unit 23 that specifies equipment corresponding to the trajectory of the approaching object, and a determination unit 24 that determines whether there is an abnormality in the equipment based on the image of the equipment acquired by the monitoring camera 2. With.

  For this reason, the monitoring system 1 can perform image recognition on the image acquired by the monitoring camera 2 only when an approaching object is detected by the approaching object detection sensor 3. Thereby, the monitoring system 1 can surely find an intruder without always performing image recognition that places a heavy load on resources.

  Furthermore, the monitoring system 1 can perform image recognition on an image acquired by the monitoring camera 2 with priority on equipment corresponding to the trajectory of the intruder. As a result, the monitoring system 1 can reliably detect an abnormality in the facility without always performing image recognition that places a heavy load on resources on the images of all facilities. Moreover, the monitoring system 1 can preferentially recognize the image from the image of the facility that is likely to be abnormal due to the intruder's destructive action, etc., and can quickly detect the abnormality of the facility.

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

  In addition, the monitoring system 1 includes a leakage target detection sensor 4 that detects a leakage target that has leaked from a facility provided in the monitoring area A, and occurrence of leakage of the leakage target based on the detection result of the leakage target detection sensor 4. The generation | occurrence | production area specific | specification part 25 which specifies an area can be provided. 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 monitoring camera 2. The leakage target detection sensor 4 may be disposed only in a portion where the gas easily leaks among the facilities provided in the monitoring area A.

  Therefore, the monitoring system 1 can simultaneously monitor not only the intruder and the facility but also the leakage target that has leaked from the facility. In addition, since the monitoring system 1 may arrange the leakage target detection sensors 4 only at locations where gas easily leaks, the number of arrangements can be reduced. And when the person exists in the generation | occurrence | production area, the monitoring system 1 can alert | report a warning and can call attention of this person. Thereby, the monitoring system 1 can monitor intruders, equipment abnormalities, and leakage targets, and can enhance the security of the monitoring area A as an application target, and can suppress human damage. Therefore, the monitoring system 1 can easily improve the soundness of the system.

  In addition, the monitoring system 1 is a sensor in which the approaching object detection sensor 3 can detect a leakage target, and based on the detection result of the approaching object detection sensor 3, a diffusion area that specifies a diffusion target diffusion area that diffuses from the generation area The specifying unit 28 can be provided. 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 monitoring camera 2.

  For this reason, since the monitoring system 1 can utilize the approaching object detection sensor 3 that detects an approaching object for detection of a leakage target, it is not necessary to provide a new resource for detecting the diffusion of the leakage target. And when the person exists in the spreading | diffusion area, the monitoring system 1 can alert | report a warning and can call attention of this person. In particular, when there are general houses 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 alert a person existing in the diffusion area, human damage can be further suppressed. Thereby, the monitoring system 1 can further appropriately monitor the intruder, the facility abnormality, and the leakage target while further suppressing an increase in the load on the resource. Therefore, the monitoring system 1 can easily improve the soundness of the system.

[Embodiment 2]
A 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 related to the same configuration and operation as the monitoring system 1 according to the first embodiment will be omitted because they are redundant descriptions.

  As described above, in the monitoring system 1 according to the first embodiment, image recognition can be performed on an image acquired by the monitoring camera 2 only when an approaching object is detected by the approaching object detection sensor 3. Here, in the monitoring system 1 according to the first embodiment, an image of the approach area can be acquired from the monitoring 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 shooting the monitoring camera 2 after detecting the entering object by the entering object detection sensor 3 and acquires an image of the approach area from the monitoring camera 2. Also good. Alternatively, in the monitoring system 1 according to the first embodiment, the monitoring control device 10 starts photographing the monitoring camera 2 before the entry object detection sensor 3 detects the entry object, and after the entry object detection sensor 3 detects the entry object. You may acquire the image of an approach area from the monitoring camera 2. FIG. When photographing of the surveillance camera 2 is started after the approaching object detection sensor 3 detects the approaching object, an increase in load on the resource is suppressed. When shooting by the monitoring camera 2 is started before the entry object is detected by the entry object detection sensor 3, the certainty of finding an intruder increases.

  In the monitoring system 1 according to the second embodiment, the monitoring control device 10 starts photographing of the monitoring camera 2 before the approaching object detection sensor 3 detects the approaching object. Then, the monitoring control device 10 identifies the approach area by comparing the image acquired by the monitoring camera 2 with the detection result of the approaching object detection sensor 3. And the monitoring control apparatus 10 may perform image recognition about the image of an approach area, and may determine whether an approaching object is an intruder. Thereby, in the monitoring system 1 which concerns on Embodiment 2, since the intruder can be discovered more reliably, the soundness of a system can be improved.

[Embodiment 3]
A 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 regarding the same configuration and operation as the monitoring system 1 according to the first and second embodiments will be omitted because it is an overlapping description.

  As described above, in the monitoring system 1 according to the first and second embodiments, the operation status of the facility and the leakage status of the leakage target are based on the image acquired by the monitoring camera 2 and the detection result of the leakage target detection sensor 4. Judgment can be made.

  In the monitoring system 1 according to the third embodiment, not only the acquired image of the monitoring camera 2 and the detection results of the approaching object detection sensor 3 and the leakage target detection sensor 4, but also the measurement results of other measurement devices different from these are used. Thus, the operating status of the equipment and the leakage status of the leakage 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 result of the pressure gauge 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 due to, for example, the aperture ratio of the filter F not satisfying the specification. Further, when the calculated differential pressure is higher than the second threshold value, the monitoring control device 10 can determine that the filter F is abnormal due to clogging of the filter F or the like. If the filter F is abnormal due to clogging of the filter F or the like, the possibility that the leakage target will leak increases. 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. Furthermore, the monitoring control apparatus 10 according to the third embodiment can additionally perform analysis of the detection result by the approaching object detection sensor 3 and the like.

  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 unit of the heater H, and a wattmeter is provided on the power source of the heater H. The measurement result of the measuring device is collected by the monitoring control device 10. And the monitoring control apparatus 10 may judge the operating condition of the governor G and the heater H, and the leakage condition of leakage object based on these 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 no contradiction. Suppose 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, there is a possibility that the leakage 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. Furthermore, the monitoring control apparatus 10 according to the third embodiment can additionally perform analysis of detection results by the approaching object detection sensor 3 and the like.

  As described above, in the monitoring system 1 according to the third embodiment, the measurement result of the measuring device other than the monitoring camera 2, the approaching object detection sensor 3, and the leakage target detection sensor 4 is also used to check the operation status of the equipment and the leakage target. The leakage status can be determined. Therefore, since the monitoring system 1 according to the third embodiment can more appropriately determine the operating status of the facility and the leakage status of the leakage target, the soundness of the system can be further improved.

[Others]

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

  The above-described embodiments can be applied to each other's technologies including modifications. The above-described embodiment does not limit the content of the present invention, and changes can be made without departing from the scope of the claims.

  Terms used in the above-described embodiments and claims should be interpreted as non-limiting terms. For example, the term “comprising” should be construed as “not limited to what is described as including”. The term “comprising” should be construed as “not limited to what is described as comprising”. The term “comprising” should be interpreted as “not limited to what is described as having”.

DESCRIPTION OF SYMBOLS 1 Monitoring system 2 Monitoring camera 3 Approaching object detection sensor 4 Leakage target detection sensor 5 Notification apparatus 10 Monitoring control apparatus 11 Reception part 12 Transmission part 20 Control part 21 Entrance area specification part 22 Trajectory specification part 23 Equipment specification part 24 Judgment part 25 Occurrence Area identification section 26 Profile creation section 27 Risk assessment section 28 Diffusion area identification section 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 Radiation tower V Valve

Claims (8)

A surveillance camera for monitoring the surveillance area;
An approaching object detection sensor for detecting an approaching object to the monitoring area;
Based on the detection result of the approaching object detection sensor, an approach area identifying unit that identifies an approach area of the approaching object from the monitoring area;
A trajectory identifying unit that identifies the trajectory of the approaching object based on the image of the approach area acquired by the monitoring camera;
A facility identifying unit that identifies a facility corresponding to the trajectory from among the facilities provided in the monitoring area;
A determination unit that determines whether there is an abnormality in the facility corresponding to the trajectory based on an image of the facility corresponding to the trajectory acquired by the monitoring camera;
A monitoring system comprising: A leakage target detection sensor for detecting a leakage target leaked from the equipment provided in the monitoring area;
Based on the detection result of the leakage target detection sensor, an occurrence area identifying unit that identifies an occurrence area where leakage of the leakage target has occurred from the monitoring area;
Further comprising
The determination unit determines whether or not there is a person in the generation area based on the image of the generation area acquired by the monitoring camera.
The monitoring system according to claim 1. The approaching object detection sensor is a sensor capable of detecting the leakage target,
Based on the detection result of the approaching object detection sensor, further comprises a diffusion area specifying unit that specifies the diffusion area of the leakage target that diffuses from the generation area,
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 monitoring camera.
The monitoring system according to claim 2. The leakage target is gas,
The leak target detection sensor is a gas detector,
The approaching object detection sensor is a sensor that emits infrared light having a wavelength that can be absorbed by the gas.
The monitoring system according to claim 2 or 3. An approaching object detection step of detecting an approaching object to the monitoring area by an approaching object detection sensor;
Based on the detection result of the entry object detection sensor, an entry area specifying step for specifying an entry area of the entry object from the monitoring area;
A trajectory specifying step for specifying a trajectory of the approaching object based on the image of the approach area acquired by the monitoring camera;
A facility identifying step for identifying a facility corresponding to the trajectory from among the facilities provided in the monitoring area;
A first determination step of determining whether there is an abnormality in the equipment corresponding to the trajectory based on an image of the equipment corresponding to the trajectory acquired by the monitoring camera;
A monitoring method comprising: A leakage target detection step of detecting a leakage target leaked from the equipment provided in the monitoring area by a leakage target detection sensor;
Based on the detection result of the leakage target detection sensor, an occurrence area identifying step for identifying an occurrence area where leakage of the leakage target has occurred from among the monitoring areas;
A second determination step of determining presence or absence of a person in the generation area based on an image of the generation area acquired by the monitoring camera;
The monitoring method according to claim 5, further comprising: The approaching object detection sensor is a sensor capable of detecting the leakage target,
Based on the detection result of the approaching object detection sensor, a diffusion area specifying step for specifying the leakage target diffusion area that diffuses from the generation area;
A third determination step of determining presence or absence of a person in the diffusion area based on the image of the diffusion area acquired by the monitoring camera;
The monitoring method according to claim 6, further comprising: The leakage target is gas,
The leak target detection sensor is a gas detector,
The approaching object detection sensor is a sensor that emits infrared light having a wavelength that can be absorbed by the gas.
The monitoring method according to claim 6 or 7.