JP2019012871A - Camera control program, camera control method and camera control device - Google Patents

Abstract

To provide a camera control program capable of capturing images before and after the occurrence of abnormalities of multiple objects at low cost.SOLUTION: A camera control program for controlling a camera for photographing a plurality of objects causes a computer to function as: a measurement value acquisition unit for acquiring, from one or more sensors each associated with one or more objects, measurement values measured by the sensors; an abnormality occurrence degree calculation unit for calculating an abnormality occurrence degree showing the degree of possibility of abnormality occurrence in each object on the basis of the measurement values acquired by the measurement value acquisition unit; a preset information selection unit for selecting preset information from a preset information table showing preset information for the camera for photographing the objects on the basis of the degree of possibility of abnormality occurrence calculated by the abnormality occurrence degree calculation unit; and a camera control unit for controlling the camera on the basis of the preset information selected by the preset information selection unit.SELECTED DRAWING: Figure 2

Description

  The present invention relates to a camera control program, a camera control method, and a camera control apparatus that control a camera that captures a plurality of objects.

  Conventionally, a monitoring camera has been used to monitor an abnormality of equipment installed in a factory or the like. For example, by recording an image of a facility photographed by a surveillance camera, the image can be used for investigating the cause of an abnormality by a user.

  For example, Patent Document 1 determines whether or not there is a difference between the two images based on a difference image between an image obtained by photographing the equipment with a monitoring camera and an image of the normal state of the equipment photographed in advance. A facility monitoring method for detecting an abnormality when there is a difference between images is disclosed.

  Further, in Patent Document 2, a sensor is provided to monitor the facility, and when the sensor satisfies a predetermined condition (for example, when the temperature detected by the temperature sensor exceeds a predetermined set temperature), the abnormality of the facility is detected. There has been disclosed a monitoring system that controls the shooting direction of a camera so as to photograph a facility that has detected and detected an abnormality.

JP-A-11-284985 JP 2005-130033 A

Akiyoshizawa, Yoichi Hashimoto, “Overview of anomaly detection technology and application trends”, ITJ (INTEC TECHNICAL JOURNAL) 2016.9 No.17 Keisuke Kiritsu, Tomonori Izumiya, “Predicting machine equipment failure using machine learning”, DEIM Forum 2017, H2-1

  However, in the facility monitoring method of Patent Document 1, in order to detect an abnormality in the facility, it is necessary to continue photographing the facility with a surveillance camera. For this reason, in order to monitor a plurality of facilities in a facility having a plurality of facilities such as a factory, it is necessary to install a plurality of surveillance cameras, which incurs costs for monitoring the facilities.

  Further, in the monitoring system of Patent Document 2, after the sensor detects an abnormality in the facility, the facility camera starts to be photographed. In order to investigate the cause of the occurrence of an abnormality, not only the image after the occurrence of the abnormality but also the image before the occurrence of the abnormality is important. However, in the monitoring system, it is difficult to take an image of the facility before detecting an abnormality.

  The present invention has been made in view of such circumstances, and provides a camera control program, a camera control method, and a camera control device that can capture images of a plurality of objects before and after the occurrence of an abnormality at low cost. For the purpose.

  (1) In order to achieve the above object, a camera control program according to an embodiment of the present invention is a camera control program for controlling a camera that captures a plurality of objects, each including one or more computers. A measurement value acquisition unit that acquires measurement values measured by the sensor from one or more sensors associated with the target, and an abnormality occurrence in each target based on the measurement values acquired by the measurement value acquisition unit The abnormality occurrence degree calculation unit calculates an abnormality occurrence degree calculation unit that calculates an abnormality occurrence degree indicating a degree of possibility, and a preset information table that indicates preset information of the camera for photographing each target. Based on the preset information selection unit that selects the preset information based on the degree of abnormality occurrence, and the preset information selected by the preset information selection unit To function as a camera control section for controlling the camera.

  (9) A camera control device according to another embodiment of the present invention is a camera control device for controlling a camera that captures a plurality of objects, each of which is associated with one or more objects. From the measurement value acquisition unit that acquires the measurement value measured by the sensor, and the abnormality occurrence degree that indicates the degree of possibility of abnormality occurrence in each target based on the measurement value acquired by the measurement value acquisition unit Based on the abnormality occurrence degree calculated by the abnormality occurrence degree calculation unit from the preset information table showing the abnormality occurrence degree calculation part to be calculated and the preset information of the camera for photographing each target, the preset A preset information selection unit that selects information; and a camera control unit that controls the camera based on the preset information selected by the preset information selection unit.

  (10) A camera control method according to another embodiment of the present invention is a camera control method for controlling a camera that captures a plurality of objects, each of which is associated with one or more objects. A step of acquiring a measurement value measured by the sensor, a step of calculating an abnormality occurrence level indicating a degree of possibility of occurrence of an abnormality in each target based on the acquired measurement value, and From the preset information table indicating preset information of the camera for photographing, the step of selecting the preset information based on the calculated degree of abnormality occurrence, and based on the selected preset information, Controlling the camera.

  The camera control program can be distributed via a computer-readable non-transitory recording medium such as a CD-ROM (Compact Disc-Read Only Memory) or a communication network such as the Internet. The present invention can also be realized as a semiconductor integrated circuit that realizes part or all of the camera control device, or as an equipment monitoring system including the camera control device.

  According to the present invention, it is possible to take images before and after the occurrence of an abnormality of a plurality of objects at low cost.

It is a figure which shows the whole structure of the equipment monitoring system which concerns on Embodiment 1 of this invention. It is a block diagram which shows the structure of the equipment monitoring apparatus which concerns on Embodiment 1 of this invention. It is a figure which shows an example of the preset information table memorize | stored in the memory | storage device. It is a flowchart which shows an example of the procedure of the process which an equipment monitoring apparatus performs. It is a flowchart which shows the detail of the imaging condition determination process (S5 of FIG. 4) of imaging object equipment. It is a figure which shows an example of the imaging time allocated to imaging | photography object installation. It is a figure which shows an example of the imaging time allocated to imaging | photography object installation. It is a figure which shows an example of the preset information table memorize | stored in the memory | storage device. It is a flowchart which shows the detail of the imaging condition determination process (S5 of FIG. 4) of imaging object equipment. It is a figure which shows an example of the imaging time allocated to imaging | photography object installation. It is a figure which shows an example of the imaging time allocated to imaging | photography object installation. It is a flowchart which shows the detail of the imaging condition determination process (S5 of FIG. 4) of imaging object equipment. It is a figure which shows an example of the frequency | count of imaging | photography allocated to imaging | photography object installation. It is a figure which shows an example of the imaging time of the imaging target equipment by a camera. It is a figure which shows an example of the frequency | count of imaging | photography allocated to imaging | photography object installation. It is a figure which shows an example of the imaging time of the imaging target equipment by a camera. It is a flowchart which shows the detail of the imaging condition determination process (S5 of FIG. 4) of imaging object equipment. It is a figure which shows an example of the imaging time allocated to imaging | photography object equipment, and zoom magnification. It is a figure which shows an example of the imaging time allocated to imaging | photography object equipment, and zoom magnification. It is a flowchart which shows the detail of the imaging condition determination process (S5 of FIG. 4) of imaging object equipment. It is a figure which shows an example of the imaging time allocated to imaging | photography object equipment, and a camera. It is a figure which shows an example of the imaging time of the imaging target equipment by a camera. It is a figure which shows another example of the imaging | photography time of the imaging target equipment by a camera.

[Outline of Embodiment of the Present Invention]
First, the outline of the embodiment of the present invention will be listed and described.
(1) A camera control program according to an embodiment of the present invention is a camera control program for controlling a camera that captures a plurality of objects, and each computer is associated with one or more objects. A measurement value acquisition unit that acquires a measurement value measured by the sensor, and an abnormality occurrence that indicates a degree of possibility of occurrence of an abnormality in each target based on the measurement value acquired by the measurement value acquisition unit Based on the abnormality occurrence degree calculated by the abnormality occurrence degree calculation unit from the preset information table indicating the preset information of the camera for photographing each target and the abnormality occurrence degree calculation unit for calculating the degree, A preset information selection unit that selects the preset information, and a camera that controls the camera based on the preset information selected by the preset information selection unit. To function as a control unit.

  According to this configuration, preset information for photographing the target is selected based on the degree of abnormality of the target, and the camera is controlled based on the selected preset information. Before the occurrence of an abnormality, the degree of abnormality occurrence becomes high. For this reason, it is possible to capture images before and after the occurrence of an abnormality by starting the imaging of the object from the point in time when the degree of abnormality has increased to some extent. In addition, since it is not necessary to photograph an object with a low degree of abnormality occurrence, a plurality of objects can be monitored with one camera. Thereby, a plurality of objects can be photographed at low cost.

  (2) Preferably, the said camera control part controls the imaging | photography timing of the said camera so that it may image | photograph on the condition of at least one of long time and high frequency, so that the said abnormality occurrence degree is high.

  According to this configuration, the higher the degree of abnormality occurrence, the longer the shooting time per unit time or the more the number of shootings per unit time. For this reason, it is possible to monitor an object whose possibility of occurrence of an abnormality is increased under imaging conditions of a long time, high frequency, or both. Further, when a plurality of targets are monitored, the shooting time or the number of shootings can be changed according to the degree of abnormality.

  (3) Moreover, the camera control unit may control the camera so that an object having a higher degree of abnormality occurrence is photographed with higher definition.

  According to this configuration, a subject with a higher degree of abnormality is photographed with higher definition. For this reason, it is possible to monitor in detail the object whose possibility of occurrence of abnormality has increased.

  (4) The preset information selection unit may select the preset information for photographing an object having the abnormality occurrence level equal to or higher than a first threshold.

  According to this configuration, preset information having an abnormality occurrence degree less than the first threshold is not selected. Therefore, the camera does not capture an object whose abnormality occurrence degree is less than the first threshold. As a result, a target with a low possibility of occurrence of an abnormality is excluded from monitoring targets, and more time can be spent on monitoring a target with a high possibility of occurrence of abnormality.

  (5) In addition, when the number of objects having the abnormality occurrence level equal to or greater than the first threshold exceeds a predetermined number, the camera control unit determines that the abnormality occurrence degree is equal to or greater than the first threshold value. The camera and the other camera may be controlled so as to be photographed by the other camera.

  According to this configuration, when there are more than a predetermined number of objects having an abnormality occurrence level equal to or greater than the first threshold, these objects can be photographed by a plurality of cameras. As a result, when there are many subjects whose abnormality occurrence level is the first threshold value or more and it is difficult to photograph all of these subjects with one camera, these subjects are shared and photographed by a plurality of cameras. can do.

  (6) In addition, the camera control unit may control the camera and the other camera so that an object having the abnormality occurrence level equal to or higher than a second threshold is photographed by the camera and the other camera.

  According to this configuration, it is possible to photograph an object having an abnormality occurrence level equal to or higher than the second threshold with a plurality of cameras. Thereby, the object can be photographed from multiple directions, and when an abnormality occurs, the cause of the abnormality can be investigated in detail.

  (7) In addition, the camera control unit controls the shooting timing of the camera so that an object with higher importance set in advance for each object is photographed under at least one of a long time period and a high frequency condition. Also good.

  According to this configuration, the higher the degree of importance, the longer the shooting time per unit time or the more the number of shootings per unit time. For this reason, by setting a high importance level in advance for a highly important object, it is possible to monitor the object for a long time, a high frequency, or both. Further, when a plurality of targets are monitored, the shooting time or the number of shootings can be changed according to the importance.

  (8) In addition, the camera control unit may control the camera so that an object having a higher importance set in advance for each object is photographed with higher definition.

  According to this configuration, a subject with higher importance is photographed with higher definition. For this reason, by setting a high importance level in advance for a highly important target, the target can be monitored in detail.

  (9) A camera control device according to another embodiment of the present invention is a camera control device for controlling a camera that captures a plurality of objects, each of which is associated with one or more objects. From the measurement value acquisition unit that acquires the measurement value measured by the sensor, and the abnormality occurrence degree that indicates the degree of possibility of abnormality occurrence in each target based on the measurement value acquired by the measurement value acquisition unit Based on the abnormality occurrence degree calculated by the abnormality occurrence degree calculation unit from the preset information table showing the abnormality occurrence degree calculation part to be calculated and the preset information of the camera for photographing each target, the preset A preset information selection unit that selects information; and a camera control unit that controls the camera based on the preset information selected by the preset information selection unit.

  This camera control apparatus includes a processing unit that functions as a computer according to the above-described camera control program. For this reason, the same operation and effect as the above-mentioned camera control program can be produced.

  (10) A camera control method according to another embodiment of the present invention is a camera control method for controlling a camera that captures a plurality of objects, each of which is associated with one or more objects. A step of acquiring a measurement value measured by the sensor, a step of calculating an abnormality occurrence level indicating a degree of possibility of occurrence of an abnormality in each target based on the acquired measurement value, and From the preset information table indicating preset information of the camera for photographing, the step of selecting the preset information based on the calculated degree of abnormality occurrence, and based on the selected preset information, Controlling the camera.

  This camera control method includes steps corresponding to a processing unit in which a computer functions according to the above-described camera control program. For this reason, the same operation and effect as the above-mentioned camera control program can be produced.

[Details of the embodiment of the present invention]
Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. Each of the embodiments described below shows a preferred specific example of the present invention. Numerical values, shapes, components, arrangement positions and connection forms of components, steps, order of steps, and the like shown in the following embodiments are merely examples, and are not intended to limit the present invention. The invention is specified by the claims. Therefore, among the constituent elements in the following embodiments, constituent elements that are not described in the independent claims indicating the highest concept of the present invention are not necessarily required to achieve the object of the present invention. It will be described as constituting a preferred form.

  Moreover, the same code | symbol is attached | subjected to the same component. Since their functions and names are also the same, their description will be omitted as appropriate.

(Embodiment 1)
[Overall configuration of equipment monitoring system]
FIG. 1 is a diagram showing an overall configuration of an equipment monitoring system according to Embodiment 1 of the present invention.

  The equipment monitoring system 1 is a system for monitoring the equipment 31 by taking an image of the equipment 31 installed in the factory 30. For example, the equipment monitoring system 1 is a system for taking an image of the equipment 31 at a time before and after the abnormality occurs and storing it in a storage device when an abnormality such as a failure or a fire occurs in the equipment 31. . However, the monitoring target is not limited to the equipment 31 in the factory 30.

  The equipment monitoring system 1 includes cameras 20A and 20B installed on the ceiling of a factory 30 and the equipment monitoring apparatus 10 connected to the cameras 20A and 20B via a network 35. Note that the cameras 20A and 20B (referred to as the camera 20 if they are not distinguished from each other) and the equipment monitoring apparatus 10 may be connected by wire or may be connected wirelessly. That is, the network 35 can be configured by, for example, a wired LAN (Local Area Network) or a wireless LAN.

  The camera 20 is a PTZ (Pan-Tilt-Zoom) camera having a pan function, a tilt function, and a zoom function.

  However, a PT (Pan-Tilt) camera that does not have a zoom function can also be used as the camera 20.

  Further, as the camera 20, a mobile camera that can run on a rail laid on the ceiling or the like of a factory, or a camera mounted on a drone or the like can be used.

  That is, any camera other than the camera can be used as the camera 20 as long as the camera can change the shooting direction.

  FIG. 1 schematically shows the arrangement of the equipment 31 and the camera 20 in the factory 30.

  In order to monitor the equipment 31 in the factory 30, the camera 20 is installed, for example, on the ceiling of the factory 30 and can photograph the equipment 31 from above. However, the installation position of the camera 20 is not limited to the ceiling of the factory 30, and may be installed at other positions as long as the facility 31 can be monitored such as a wall surface of the factory 30.

  The camera 20 has a pan function for moving the zoom lens in a first direction (for example, the horizontal direction in FIG. 1), and a zoom lens in a second direction (for example, the vertical direction in FIG. 1) orthogonal to the first direction. Three functions are provided: a tilt function for moving, and a zoom function for enlarging or reducing a shooting range image using a zoom lens. For example, the pan angle can be defined as a positive angle in a clockwise direction with true north being 0 °, and a negative angle in a counterclockwise direction. Further, with respect to the tilt angle, the horizontal direction can be defined as 0 °, the upward direction being defined as a positive angle, and the downward direction being defined as a negative angle.

  The camera 20A takes an image of the equipment 31 existing in the factory 30 by panning, tilting, and zooming the zoom lens. Similarly, the camera 20B takes an image of the equipment 31 existing in the factory 30 by panning, tilting, and zooming the zoom lens.

  Normally, the equipment 31 in the factory 30 is photographed using the camera 20A. However, when there are more than a predetermined number of facilities 31 in the factory 30 that are likely to cause an abnormality or where an abnormality has occurred, the camera 20B may photograph the facilities 31 that exist in the factory 30. it can. Thereby, the cameras 20 </ b> A and 20 </ b> B can cooperate to photograph the facility 31 existing in the factory 30.

  A sensor 40 is provided in the facility 31 that is a target of abnormality detection in the factory 30, and the facility 31 and the sensor 40 are associated with each other. However, one sensor 40 may be associated with a plurality of facilities 31. A plurality of sensors 40 may be associated with one facility 31.

  The sensor 40 includes, for example, a temperature sensor, a vibration sensor, or a pressure sensor that can measure a physical quantity related to the facility 31, a timer for measuring the operating time of the facility 31, and the like. However, the type of the sensor 40 is not limited to these, and any other sensor may be used as long as it is a sensor capable of measuring a physical quantity effective for detecting an abnormality in the facility 31.

  Each sensor 40 is associated with at least one of the facilities 31. For example, a vibration sensor for measuring the vibration of the equipment 31 may be installed for each equipment 31. One timer for measuring the operation time of the facility 31 may be installed for each of the plurality of facilities 31.

  However, a production line composed of a plurality of facilities 31 can be regarded as one facility 31 and can be monitored. In such a case, each sensor 40 may be associated with the production line.

  The facility monitoring apparatus 10 calculates an abnormality occurrence level indicating the degree of possibility of occurrence of an abnormality in each facility 31 based on the measurement values measured by the sensors 40, and images the facility 31 having a high abnormality occurrence level. Then, the cameras 20A and 20B are controlled.

[Configuration of equipment monitoring equipment]
FIG. 2 is a block diagram showing a configuration of the equipment monitoring apparatus 10 according to Embodiment 1 of the present invention.

  The facility monitoring device 10 is configured by a general computer including a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), and the like, and functions as a camera control device that controls the camera 20.

  The facility monitoring apparatus 10 includes a communication I / F (Interface) unit 11, a storage device 12, an image acquisition unit 13, a measurement value acquisition unit 14, an abnormality occurrence degree calculation unit 15, a preset information selection unit 16, And a camera control unit 17.

  Among these, the processing units 13 to 17 are functional processing units realized by executing a computer program stored in the storage device 12 or the like on the CPU.

  The communication I / F unit 11 is a communication interface for connecting the equipment monitoring apparatus 10 to the camera 20 and the sensor 40 via the network 35, and includes, for example, a wired LAN module and a wireless LAN module.

  The storage device 12 is a storage device for storing various types of information such as images taken by the camera 20 and preset information related to the shooting location of the camera 20, and includes, for example, an HDD (Hard Disk Drive), a RAM, and the like. .

  The image acquisition unit 13 acquires an image captured by the camera 20 from the camera 20 via the communication I / F unit 11.

  The measurement value acquisition unit 14 acquires the measurement value measured by the sensor 40 from the sensor 40 via the communication I / F unit 11. The measurement value acquisition unit 14 may acquire a measurement value measured by the sensor 40 via a PLC (Programmable Logic Controller) connected to the sensor 40 and the communication I / F unit 11. Moreover, the measured value acquisition part 14 may acquire various conditions, such as the production conditions of each equipment 31, from PLC.

The abnormality occurrence degree calculation unit 15 calculates an abnormality occurrence degree indicating the degree of possibility of abnormality occurrence in each facility 31 based on the measurement value acquired by the measurement value acquisition unit 14. For example, the abnormality occurrence degree calculation unit 15 may calculate the probability that the equipment 31 will fail within a predetermined time in the future as the abnormality occurrence degree. Further, the abnormality occurrence degree calculation unit 15 may use the defect occurrence probability of the product as the abnormality occurrence degree for the equipment 31 that manufactures the product. Below, it demonstrates using abnormality occurrence probability (probability that the installation 31 fails or product defect occurrence probability) as the abnormality occurrence degree. However, the abnormality occurrence degree is not limited to the abnormality occurrence probability, and other values indicating the degree of possibility of abnormality occurrence in the facility 31 can be used as the abnormality occurrence degree. For example, an abnormality occurrence level obtained by dividing the abnormality occurrence probability according to the size can be used as the abnormality occurrence degree.
A method of calculating the abnormality occurrence probability by the abnormality occurrence degree calculation unit 15 will be described later.

  The preset information selection unit 16 selects preset information based on the abnormality occurrence probability calculated by the abnormality occurrence degree calculation unit 15 from the preset information table indicating the preset information of the camera 20 for photographing each facility 31. To do.

  FIG. 3 is a diagram illustrating an example of the preset information table stored in the storage device 12.

  The preset information table 50 includes a plurality of preset information. Each preset information includes a number (No.) for identifying the preset information, the equipment number of the equipment 31 to be monitored, the pan angle, the tilt angle, and the zoom magnification. For example, no. The equipment number of the equipment 31 to be monitored by the preset information 1 is “AN5541”, and the pan angle, the tilt angle, and the zoom magnification, which are preset information for photographing the equipment 31, are “−20 °”, respectively. ”,“ + 30 ° ”and“ 1.5 times ”. Note that the preset information table 50 may be provided for each camera 20.

  Referring to FIG. 2, preset information selection unit 16 selects preset information corresponding to equipment 31 having an abnormality occurrence probability equal to or higher than a predetermined threshold value TH <b> 1 from preset information table 50. For example, when the abnormality occurrence probability of the equipment 31 with the equipment number “BG3314” is equal to or higher than the threshold TH1, the preset information selection unit 16 selects No. 1 from the preset information table 50. No. 2 preset information, pan angle “+ 5 °”, tilt angle “+ 20 °”, and zoom magnification “2.0 ×” are selected.

  The camera control unit 17 controls the shooting direction of the camera 20 based on the preset information selected by the preset information selection unit 16.

  The camera control unit 17 controls the shooting timing of the camera 20. For example, as will be described later, the camera control unit 17 causes the camera 20 to alternately photograph the facilities 31 having the abnormality occurrence probability equal to or higher than the threshold value TH1, or alternately photograph the facilities 31 and the entire factory 30. .

  Thereby, the camera 20A or 20B can photograph the equipment 31 having the abnormality occurrence probability equal to or higher than the threshold TH1, and the image acquisition unit 13 can record the image of the equipment 31 in the storage device 12.

[Processing flow of equipment monitoring device]
FIG. 4 is a flowchart illustrating an example of a procedure of processing executed by the facility monitoring apparatus 10.

  The measurement value acquisition unit 14 acquires the measurement value measured by the sensor 40 from each sensor 40 (S1). The measurement values acquired by the measurement value acquisition unit 14 include, for example, the temperature, vibration, pressure, humidity around the equipment 31, operating time of the equipment 31, and the like. Note that the measurement value acquired by the measurement value acquisition unit 14 may include an image captured by the camera 20. The measurement value acquired by the measurement value acquisition unit 14 may include various conditions such as the production conditions of each facility 31 that can be acquired from the PLC.

  The abnormality occurrence degree calculation unit 15 calculates the abnormality occurrence probability for each facility 31 based on the measurement value acquired by the measurement value acquisition unit 14 (S2).

  For example, the abnormality occurrence degree calculation unit 15 calculates the failure probability after one hour of each facility 31 by inputting the measurement value acquired by the measurement value acquisition unit 14 into a model that predicts a failure after one hour. (For example, refer nonpatent literature 1). The abnormality occurrence degree calculation unit 15 can set the calculated failure probability as the abnormality occurrence probability. It is assumed that the model is created in advance based on the measured value of the sensor 40 acquired when the facility 31 is out of order and the measured value of the sensor 40 acquired when the facility 31 is operating normally. As the above model, a neural network, SVM (Support Vector Machine), logistic regression or the like can be used.

Further, the abnormality occurrence degree calculation unit 15 can also calculate the abnormality occurrence probability based on the statistical distribution. For example, the characteristics of the statistical distribution of the learning data are calculated using the measurement value of the sensor 40 acquired during normal operation of the facility 31 as the learning data. The abnormality occurrence degree calculation unit 15 calculates the abnormality occurrence probability based on the Mahalanobis distance between the center point of the learning data and the measurement value acquired by the measurement value acquisition unit 14 assuming that the learning data follows a normal distribution ( For example, refer nonpatent literature 2).
However, the method for calculating the abnormality occurrence probability is not limited to these methods.

  The camera control unit 17 extracts a facility 31 having a calculated abnormality occurrence probability equal to or higher than a predetermined threshold TH1 (hereinafter referred to as “capturing target facility”) as a facility 31 to be captured by the camera 20 (S3). For example, when the threshold value TH1 is 20%, the camera control unit 17 extracts equipment 31 having an abnormality occurrence probability of 20% or more as equipment to be photographed.

  If there is no equipment to be imaged (NO in S4), the equipment monitoring apparatus 10 ends the process.

  If there is a shooting target facility (YES in S4), the camera control unit 17 determines the shooting condition of the shooting target facility (S5).

  FIG. 5 is a flowchart showing details of the shooting condition determination process (S5 in FIG. 4) of the shooting target equipment.

  Referring to FIG. 5, the camera control unit 17 determines whether or not the number of photographing target facilities is larger than a predetermined number (for example, 2) (S11).

  If the number of facilities to be photographed is larger than the predetermined number (YES in S11), the camera control unit 17 determines the number of cameras 20 that photograph the facility to be photographed as two (S12).

  If the number of photographing target facilities is equal to or less than the predetermined number (NO in S11), the camera control unit 17 determines the number of cameras 20 that photograph the photographing target facility as one (S13).

  After the process of step S12 or S13, the camera control unit 17 assigns the photographing time evenly to the equipment to be photographed (S14).

  FIG. 6 is a diagram illustrating an example of the imaging time allocated to the imaging target facility. FIG. 6 illustrates a case where the number of facilities to be photographed is a predetermined number (for example, 2) or less and the facilities to be photographed are photographed by one camera 20A.

  As shown in FIG. 6, when the camera 20A captures the imaging target facilities 31A and 31B, the camera control unit 17 assigns an imaging time of 30 seconds to the imaging target facilities 31A and 31B, respectively. That is, when the shooting period of the camera 20A is 60 seconds, 30 seconds obtained by dividing 60 seconds into two are allocated to the shooting target facilities 31A and 31B as shooting times.

  FIG. 7 is a diagram illustrating an example of the imaging time allocated to the imaging target facility. FIG. 7 shows a case where the number of facilities to be photographed is larger than a predetermined number (for example, 2) and the facilities to be photographed are photographed by two cameras 20A and 20B.

  As shown in FIG. 7, when the cameras 20A and 20B capture the capturing target facilities 31A to 31C, the camera control unit 17 captures the capturing target facilities 31A and 31B in the same manner as the example illustrated in FIG. 6. Allocate 30 seconds as time. In addition, the camera control unit 17 assigns the same 30 seconds as the shooting time to the shooting target facility 31C, which is assigned to the shooting target facilities 31A and 31B.

  Further, the camera control unit 17 determines that the camera 20A captures the capturing target facilities 31A and 31B and the camera 20B captures the capturing target facility 31C. This is to cause the camera 20A to photograph a predetermined number of photographing target facilities and cause the camera 20B to photograph a photographing target facility exceeding the predetermined number. In addition, you may determine the imaging | photography object equipment which camera 20A and 20B takes charge of image | photographing at random. Moreover, you may determine the imaging | photography object equipment which each camera 20 takes charge of imaging | photography in order with the near distance from camera 20A and 20B. Thereby, it becomes possible to image | photograph the imaging | photography object equipment from the position as close as possible.

  By the shooting condition determination process (S5 in FIG. 4) of the shooting target facility shown in FIG. 5, the sharing of the shooting target facility by the cameras 20A and 20B and the shooting time of each shooting target facility are determined.

  Referring to FIG. 4 again, the preset information selection unit 16 selects preset information of the imaging target equipment from the preset information table (FIG. 3) stored in the storage device 12 (S6). For example, it is assumed that the equipment numbers of the imaging target equipments 31A and 31B are “AN5541” and “BG3314”, respectively. In this case, the preset information selection unit 16 sets No. 1 as preset information of the imaging target equipment 31A. 1 preset information (pan angle “−20 °”, tilt angle “+ 30 °” and zoom magnification “1.5 times”) is selected. In addition, the preset information selection unit 16 sets No. 1 as preset information of the imaging target equipment 31B. 2 preset information (pan angle “+ 5 °”, tilt angle “+ 20 °”, and zoom magnification “2.0 times”) are selected.

  Based on the preset information selected in step S6 and the shooting conditions determined in step S5, the camera control unit 17 controls the camera 20 to shoot the shooting target equipment (S7). For example, as illustrated in FIG. 6, when the camera 20A is to photograph the photographing target facilities 31A and 31B every 30 seconds, the camera control unit 17 sets the preset information of the photographing target facility 31A (for example, No. 1 described above). Preset information) and preset information of the imaging target facility 31B (for example, preset information No. 2 described above) are alternately transmitted to the camera 20A at intervals of 30 seconds. Thereby, the camera control unit 17 controls the photographing timing of the camera 20A, and the camera 20A can photograph the photographing target facilities 31A and 31B alternately at intervals of 30 seconds.

  In addition, as shown in FIG. 7, when the camera 20B is to photograph the imaging target facility 31C for 30 seconds out of 60 seconds, the camera 20B captures the preset information of the imaging target facility 31C and the entire factory 30. To the camera 20B alternately at 30-second intervals. Thereby, the camera control part 17 controls the imaging | photography timing of the camera 20B, and the camera 20B can image | photograph the imaging | photography object installation 31C and the whole factory 30 by turns at 30 second intervals.

  The image acquisition unit 13 acquires images captured by the cameras 20A and 20B from the cameras 20A and 20B and records them in the storage device 12 (S8).

  The control process of the camera 20 shown in FIG. 4 is repeatedly executed. For example, the facility monitoring apparatus 10 repeatedly executes the control process at a predetermined interval (for example, every 60 seconds). By repeatedly executing the control process, the camera can be controlled under imaging conditions based on the latest abnormality occurrence probability.

[Effect of Embodiment 1]
As described above, according to the first embodiment, the preset information for photographing the equipment 31 is selected based on the abnormality occurrence probability of the equipment 31, and the photographing conditions for photographing the equipment 31 are determined. Further, the camera 20 is controlled based on the selected preset information. Before the occurrence of an abnormality, the probability of occurrence of the abnormality is high. For this reason, it is possible to capture images before and after the occurrence of an abnormality by starting the imaging of the facility 31 from the time when the abnormality occurrence probability becomes equal to or higher than the threshold value TH1. Thereby, the cause of the abnormality can be investigated.

  Moreover, since it is not necessary to photograph the equipment 31 having the abnormality occurrence probability less than the threshold TH1, it is possible to monitor a plurality of equipments 31 with one camera. Thereby, the some installation 31 can also be image | photographed at low cost. As described above, by removing the equipment 31 having a low possibility of occurrence of abnormality from the monitoring target, it is possible to devote more time to monitoring the equipment 31 having a high possibility of occurrence of abnormality.

  In addition, when the number of imaging target facilities whose abnormality occurrence probability is equal to or greater than the threshold TH1 exceeds a predetermined number, the imaging target facilities can be imaged by sharing the two cameras 20A and 20B. If the number of facilities to be photographed is large and all the facilities to be photographed are photographed only by the camera 20A, the photographing time per one facility to be photographed is shortened. However, according to the first embodiment, each photographing object facility can be photographed over a certain time (for example, 30 seconds per 60 seconds), so the photographing time per photographing object facility becomes too short. This can be prevented.

(Modification of Embodiment 1)
The preset information table 50 shown in FIG. 3 is for the fixed camera 20, but the present embodiment can also be applied to a mobile camera.

FIG. 8 is a diagram illustrating an example of the preset information table stored in the storage device 12.
The preset information 50 table A includes camera position information in addition to the preset information table 50 shown in FIG.

  For example, the camera position information of the equipment number “AN5541” is “(300, 600, 300)”, and the camera position information of the equipment number “BG3314” is “(500, 1000, 500)”.

  Based on the preset information table 50A, the equipment monitoring apparatus 10 can move a mobile camera to the camera position corresponding to the equipment number of the equipment 31 to be monitored, and can capture and record an image. For example, when the equipment 31 is monitored by a camera mounted on a drone or the like, the equipment monitoring apparatus 10 can move the drone to the vicinity of the equipment 31 to be monitored and photograph the equipment 31 according to the preset information table 50A. it can. Thereby, a high-definition image of the facility 31 can be taken. The camera position information may be two-dimensional coordinates. Thereby, the camera which runs on a rail can be moved according to preset information table 50A, and equipment 31 can be photoed in the moved position.

(Embodiment 2)
In the first embodiment, when there are a plurality of photographing target facilities, the photographing time of each photographing target facility is the same. In the second embodiment, an example in which the shooting time is different for each shooting target facility will be described.

  The configurations of the facility monitoring system 1 and the facility monitoring device 10 are the same as those in the first embodiment. Moreover, the procedure of the process which the equipment monitoring apparatus 10 performs is as having shown to the flowchart of FIG. Therefore, detailed description thereof will not be repeated here.

  In the second embodiment, the photographing condition determination process (S5 in FIG. 4) of the photographing target facility is different from the first embodiment.

  FIG. 9 is a flowchart showing details of the photographing condition determination process (S5 in FIG. 4) of the equipment to be photographed.

  The equipment monitoring apparatus 10 executes the processes shown in steps S11 to S13. These processes are the same as steps S11 to S13 shown in FIG.

  After the process of step S12 or S13, the camera control unit 17 assigns a shooting time corresponding to the abnormality occurrence probability to the shooting target equipment (S21).

  FIG. 10 is a diagram illustrating an example of the imaging time allocated to the imaging target facility. FIG. 10 shows a case where the number of imaging target facilities is a predetermined number (for example, 2) or less and the imaging target facility is imaged by one camera 20A.

  Here, it is assumed that the abnormality occurrence probabilities of the imaging target facilities 31A and 31B are 20% and 80%, respectively. When the shooting period of the camera 20A is set to 60 seconds, the camera control unit 17 divides the shooting period of 60 seconds by the ratio of the probability of occurrence of abnormalities, so that the shooting target facilities 31A and 31B each have a shooting time of 12 seconds ( = 60 seconds x 20% / 100%) and 48 seconds (= 60 seconds x 80% / 100%).

  FIG. 11 is a diagram illustrating an example of the imaging time allocated to the imaging target facility. FIG. 11 shows a case where the number of facilities to be photographed is larger than a predetermined number (for example, 2) and the facilities to be photographed are photographed by two cameras 20A and 20B.

  Here, it is assumed that the occurrence probabilities of the imaging target facilities 31A, 31B, and 31C are 20%, 80%, and 40%, respectively. The camera control unit 17 allocates 12 seconds and 48 seconds to the photographing target facilities 31A and 31B as the photographing time, as in the example shown in FIG. In addition, the camera control unit 17 assigns 24 seconds to the imaging target facility 31C as the imaging time. The photographing time of the photographing target facility 31C is calculated based on the abnormality occurrence probability of the photographing target facility 31C, the photographing time of the photographing target facility 31A or 31B, and the abnormality occurrence probability. That is, the abnormality occurrence probability 40% of the photographing target facility 31C is twice the abnormality occurrence probability 20% of the photographing target facility 31A, so that the photographing time of the photographing target facility 31A is 12 seconds as the photographing time of the photographing target facility 31C. 24 seconds, which is twice as long, is allocated.

  Similarly to the first embodiment, the camera control unit 17 determines that the camera 20A captures the capturing target facilities 31A and 31B and the camera 20B captures the capturing target facility 31C.

  By the shooting condition determination process (S5 in FIG. 4) of the shooting target equipment shown in FIG. 9, the sharing of the shooting target equipment by the cameras 20A and 20B and the shooting time of each shooting target equipment are determined.

  In the camera control process (S7 in FIG. 4), the camera control unit 17 uses these shooting conditions to shoot the shooting target equipment at the timing shown in FIG. 10 or FIG. To control.

  As described above, according to the second embodiment, the facility 31 having a higher probability of abnormality can increase the imaging time per unit time (imaging cycle). For this reason, it is possible to monitor for a long time the facility 31 in which the possibility of occurrence of abnormality has increased. In addition, when a plurality of facilities 31 are to be monitored, the imaging time can be changed according to the abnormality occurrence probability.

  However, the method for determining the imaging time based on the abnormality occurrence probability is not limited to that shown in the second embodiment. For example, the camera control unit 17 may determine the imaging time from the abnormality occurrence probability by referring to the table information indicating the correspondence relationship between the abnormality occurrence probability and the imaging time.

  In the second embodiment, the equipment 31 having the abnormality occurrence probability equal to or higher than the threshold TH1 is set as the imaging target equipment. However, all the equipment 31 installed in the factory 30 or designated in advance regardless of the abnormality occurrence probability. The equipment 31 that has been made can also be the equipment to be photographed.

  Further, when an abnormality actually occurs in the facility 31, the camera 20 may always shoot the facility 31 in which the abnormality has occurred.

(Embodiment 3)
In the first embodiment, the shooting time of each shooting target facility is the same when there are a plurality of shooting target facilities. Further, the number of times of photographing of each facility to be photographed per photographing cycle is the same. In the third embodiment, an example will be described in which the number of times of photographing per photographing cycle differs for each equipment to be photographed.

  The configurations of the facility monitoring system 1 and the facility monitoring device 10 are the same as those in the first embodiment. Moreover, the procedure of the process which the equipment monitoring apparatus 10 performs is as having shown to the flowchart of FIG. Therefore, detailed description thereof will not be repeated here.

  In the third embodiment, the shooting condition determination process (S5 in FIG. 4) of the shooting target facility is different from the first embodiment.

  FIG. 12 is a flowchart showing details of the shooting condition determination process (S5 in FIG. 4) of the shooting target equipment.

  The equipment monitoring apparatus 10 executes the processes shown in steps S11 to S13. These processes are the same as steps S11 to S13 shown in FIG.

  After the process of step S12 or S13, the camera control unit 17 assigns the number of times of photographing according to the abnormality occurrence probability to the equipment to be photographed (S31).

  FIG. 13 is a diagram illustrating an example of the number of times of photographing assigned to the photographing target facility. FIG. 13 shows a case in which the number of facilities to be photographed is a predetermined number (for example, 2) or less and the facilities to be photographed are photographed by one camera 20A.

  Here, it is assumed that the abnormality occurrence probabilities of the imaging target facilities 31A and 31B are 20% and 80%, respectively. Further, when the number of shootings is increased by 1 every time the occurrence probability is increased by 20%, the camera control unit 17 assigns 1 and 4 shooting times to the shooting target facilities 31A and 31B, respectively. This number of times of photographing indicates the number of times of photographing in one photographing cycle. For example, when the number of times of shooting is set to 5 seconds, the shooting target facility 31A is shot for 5 seconds (= 5 seconds × 1 time) and the shooting target facility 31B is set to 20 seconds (60 seconds). = 5 seconds x 4 times)

  FIG. 14 is a diagram illustrating an example of the imaging time of the imaging target facilities 31A and 31B by the camera 20A.

  Assuming that one block (rectangle) indicates a shooting time of 5 seconds, the camera 20A takes the shooting target equipment 31A, the whole, the shooting target equipment 31B, the whole, the shooting target equipment 31B, during one shooting cycle of 60 seconds. Photographing is performed in the order of the whole, the photographing target facility 31B, the whole, the photographing target facility 31B, the whole, the whole, and the whole. Here, “entire” indicates a case where the entire factory 30 is a subject of photographing.

  FIG. 15 is a diagram illustrating an example of the number of times of photographing allocated to the photographing target facility. FIG. 15 shows a case where the number of facilities to be photographed is larger than a predetermined number (for example, 2) and the facilities to be photographed are photographed by two cameras 20A and 20B.

  Here, it is assumed that the occurrence probabilities of the imaging target facilities 31A, 31B, and 31C are 20%, 80%, and 40%, respectively. As in the case of FIG. 14, when the number of shootings is increased by 1 every time the occurrence probability increases by 20%, the camera control unit 17 causes the shooting target facilities 31 </ b> A, 31 </ b> B, and 31 </ b> C as the number of shootings in one shooting cycle. Assign one, four and two times, respectively. For example, when the number of times of shooting per shot is 5 seconds, the shooting target facilities 31A, 31B, and 31C have 5 seconds (= 5 seconds × 1 time) and 20 seconds ( = 5 seconds × 4 times) and 10 seconds (= 5 seconds × 2 times).

  Similarly to the first embodiment, the camera control unit 17 determines that the camera 20A captures the capturing target facilities 31A and 31B and the camera 20B captures the capturing target facility 31C.

  FIG. 16 is a diagram illustrating an example of imaging times of the imaging target facilities 31A, 31B, and 31C by the cameras 20A and 20B.

  It is assumed that one block (square) indicates a shooting time of 5 seconds. The shooting time of the camera 20A is the same as that shown in FIG. The camera 20B shoots the entire facility 30 for 25 seconds after shooting the shooting target facility 31C for 5 seconds during one shooting cycle. Thereafter, the camera 20B repeats the imaging of the entire imaging target facility 31C and the factory 30 in the same manner.

  The shooting condition determination process (S5 in FIG. 4) of the shooting target equipment shown in FIG. 12 determines the sharing of the shooting target equipment by the cameras 20A and 20B and the number of shootings per shooting cycle of each shooting target equipment. .

  In the camera control process (S7 in FIG. 4), the camera control unit 17 uses these shooting conditions to shoot the shooting target equipment at the timing shown in FIG. 14 or FIG. To control.

  As described above, according to the third embodiment, the facility 31 having a higher abnormality occurrence probability can increase the number of times of photographing per unit time (imaging cycle). For this reason, the equipment 31 in which the possibility of occurrence of abnormality has increased can be monitored with high frequency. Further, when a plurality of facilities 31 are to be monitored, the number of imaging can be changed according to the abnormality occurrence probability.

  However, the method of determining the number of imaging based on the abnormality occurrence probability is not limited to that shown in the third embodiment. For example, the camera control unit 17 may determine the number of photographing from the abnormality occurrence probability by referring to table information indicating the correspondence between the abnormality occurrence probability and the number of photographing.

(Embodiment 4)
In the fourth embodiment, an example in which the zoom magnification is different for each facility to be photographed will be described.
The configurations of the facility monitoring system 1 and the facility monitoring device 10 are the same as those in the first embodiment. Moreover, the procedure of the process which the equipment monitoring apparatus 10 performs is as having shown to the flowchart of FIG. Therefore, detailed description thereof will not be repeated here.

  In the fourth embodiment, the shooting condition determination process (S5 in FIG. 4) of the shooting target facility is different from the first embodiment.

  FIG. 17 is a flowchart showing details of the shooting condition determination process (S5 in FIG. 4) of the shooting target equipment.

  The equipment monitoring apparatus 10 executes the processes shown in steps S11 to S14. These processes are the same as steps S11 to S14 shown in FIG.

  After the process of step S14, the camera control unit 17 determines a zoom magnification corresponding to the abnormal magnification for the equipment to be imaged (S41).

  FIG. 18 is a diagram illustrating an example of shooting time and zoom magnification allocated to a shooting target facility. FIG. 18 shows a case where the number of facilities to be photographed is a predetermined number (for example, 2) or less and the facilities to be photographed are photographed by one camera 20A.

  Here, it is assumed that the abnormality occurrence probabilities of the imaging target facilities 31A and 31B are 20% and 80%, respectively. The shooting times of the shooting target facilities 31A and 31B are determined in the same manner as in the example shown in FIG.

  If the normal zoom magnification is 1.0 and the zoom magnification is increased by 0.3 each time the abnormality occurrence probability is increased by 20%, the camera control unit 17 sets the zoom magnifications of the photographing target facilities 31A and 31B. And 1.3 times (= 1.0 times + 0.3 times × 20% / 20%) and 2.2 times (= 1.0 times + 0.3 times × 80% / 20%), respectively.

  Thereby, in the camera control process (S7 in FIG. 4), the camera control unit 17 controls the zoom lens so that the zoom magnification is 1.3 when the camera 20A captures the imaging target facility 31A. . That is, the camera control unit 17 transmits information indicating the zoom magnification of 1.3 times to the camera 20A in addition to the preset information of the photographing target facility 31A selected from the preset information table 50 illustrated in FIG.

  The camera control unit 17 controls the zoom lens so that the zoom magnification is 2.2 when the camera 20A captures the capturing target facility 31B. That is, the camera control unit 17 transmits information indicating the zoom magnification of 2.2 times to the camera 20A in addition to the preset information of the photographing target facility 31B selected from the preset information table 50 illustrated in FIG.

  FIG. 19 is a diagram illustrating an example of shooting time and zoom magnification allocated to a shooting target facility. FIG. 19 shows a case where the number of facilities to be photographed is larger than a predetermined number (for example, 2) and the facilities to be photographed are photographed by two cameras 20A and 20B.

  Here, it is assumed that the occurrence probabilities of the imaging target facilities 31A, 31B, and 31C are 20%, 80%, and 40%, respectively. The shooting times of the shooting target facilities 31A, 31B and 31C are determined in the same manner as in the example shown in FIG.

  As in the case of FIG. 19, when the zoom magnification at normal time is set to 1.0 and the zoom magnification is increased by 0.3 times every time the probability of occurrence of abnormality is increased by 20%, the camera control unit 17 performs the photographing target equipment 31A. , 31B and 31C zoom magnifications are 1.3 times (= 1.0 times + 0.3 times × 20% / 20%) and 2.2 times (= 1.0 times + 0.3 times × 80%, respectively) / 20%) and 1.6 times (= 1.0 times + 0.3 times × 40% / 20%).

  Similarly to the first embodiment, the camera control unit 17 determines that the camera 20A captures the capturing target facilities 31A and 31B and the camera 20B captures the capturing target facility 31C.

  Thereby, as described with reference to FIG. 18, the camera control unit 17 has a zoom magnification of 1. when the camera 20 </ b> A captures the imaging target facility 31 </ b> A in the camera control process (S <b> 7 in FIG. 4). When the zoom lens is controlled so as to be tripled and the camera 20A photographs the photographing target equipment 31B, the zoom lens is controlled so that the zoom magnification is 2.2 times.

  Similarly, in the camera control process (S7 in FIG. 4), the camera control unit 17 controls the zoom lens so that the zoom magnification is 1.6 when the camera 20B captures the imaging target facility 31C. . That is, the camera control unit 17 transmits information indicating the zoom magnification of 1.6 times to the camera 20B in addition to the preset information of the photographing target facility 31C selected from the preset information table 50 illustrated in FIG.

  The shooting condition determination process (S5 in FIG. 4) of the shooting target equipment shown in FIG. 17 determines the sharing of the shooting target equipment by the cameras 20A and 20B, the shooting time and the zoom magnification of each shooting target equipment.

  As described above, according to the fourth embodiment, the facility 31 having a higher abnormality occurrence probability can be photographed with a larger zoom magnification. That is, the equipment 31 having a higher probability of abnormality can be photographed with higher definition. Thereby, the equipment 31 in which the possibility of occurrence of abnormality has increased can be monitored in detail.

  If the camera is a mobile camera or a camera mounted on a drone, etc., instead of changing the zoom magnification in accordance with the probability of occurrence of an abnormality, the distance between the equipment to be imaged and the camera is determined in accordance with the probability of occurrence of the abnormality. The distance may be controlled. That is, the facility monitoring apparatus 10 moves the camera so that the facility 31 having a higher probability of abnormality can be photographed at a shorter distance. Thereby, the camera can take a high-definition image of the facility 31 in which the possibility of occurrence of abnormality is increased, and thus the user can monitor the facility 31 in detail.

(Embodiment 5)
In the first embodiment, the number of cameras 20 that shoot the object to be imaged is one for each object to be imaged. Embodiment 5 demonstrates the example which image | photographs one imaging | photography object equipment with the several camera 20. FIG.

  The configurations of the facility monitoring system 1 and the facility monitoring device 10 are the same as those in the first embodiment. Moreover, the procedure of the process which the equipment monitoring apparatus 10 performs is as having shown to the flowchart of FIG. Therefore, detailed description thereof will not be repeated here.

  In the fifth embodiment, the photographing condition determination process (S5 in FIG. 4) of the photographing target facility is different from the first embodiment.

  FIG. 20 is a flowchart showing details of the shooting condition determination process (S5 in FIG. 4) of the shooting target equipment.

  The equipment monitoring apparatus 10 executes the processes shown in steps S11 to S14. These processes are the same as steps S11 to S14 shown in FIG.

  After step S14, the camera control unit 17 determines whether or not there is a facility 31 (hereinafter referred to as “centralized imaging target facility”) having an abnormality occurrence probability equal to or higher than a threshold TH2 (S51). The threshold value TH2 is preferably larger than the threshold value TH1.

  If there is a central shooting target facility (YES in S51), the camera control unit 17 assigns cameras 20A and 20B as cameras for shooting the central shooting target facility.

  FIG. 21 is a diagram illustrating an example of the shooting time allocated to the shooting target facility and the camera 20. FIG. 21 shows a case where the number of facilities to be photographed is larger than a predetermined number (for example, 2) and the facilities to be photographed are photographed by two cameras 20A and 20B.

  Here, it is assumed that the occurrence probabilities of the imaging target facilities 31A, 31B, and 31C are 20%, 80%, and 40%, respectively. Similarly to the example illustrated in FIG. 7, the camera control unit 17 determines the shooting time per shooting cycle (60 seconds) of the shooting target facilities 31A, 31B, and 31C as 30 seconds. Further, when the threshold value TH2 is set to 75%, the camera control unit 17 determines that the photographing target facility 31B is a centralized photographing target facility because the abnormality occurrence probability 80% of the photographing target facility 31B is 75% or more. Then, it is determined that the photographing target facility 31B is photographed by the two cameras 20A and 20B.

  FIG. 22 is a diagram illustrating an example of the shooting time of the shooting target facilities 31A to 31C by the cameras 20A and 20B.

  If one block (square) indicates a shooting time of 30 seconds, in the first 30 seconds of one shooting cycle (60 seconds), the camera 20A takes a picture of the shooting target equipment 31A, and the camera 20B sets the shooting target equipment 31C. Shoot. Further, in the next 30 seconds, the cameras 20A and 20B photograph the facility 31B to be photographed. Thereby, the imaging target facility 31B can be imaged from multiple directions at the same time.

  FIG. 23 is a diagram illustrating another example of the shooting time of the shooting target facilities 31A to 31C by the cameras 20A and 20B.

  If one block (square) indicates a shooting time of 30 seconds, in the first 30 seconds of one shooting cycle (60 seconds), the camera 20A takes a picture of the shooting target equipment 31A, and the camera 20B sets the shooting target equipment 31B. Shoot. Further, in the next 30 seconds, the camera 20A captures the imaging target facility 31B, and the camera 20B captures the imaging target facility 31C. Thereby, the imaging target facility 31B can be imaged from multiple directions. Further, by reducing the overlap of the shooting times of the cameras 20A and 20B, it is possible to reduce the time during which the shooting target equipment 31B is not shot.

  By the shooting condition determination processing (S5 in FIG. 4) of the shooting target equipment shown in FIG. 20, the sharing of the shooting target equipment by the cameras 20A and 20B and the shooting time of each shooting target equipment are determined.

  In the camera control process (S7 in FIG. 4), the camera control unit 17 uses these photographing conditions to shoot the equipment to be photographed at the timing shown in FIG. 22 or FIG. To control.

  As described above, according to the fifth embodiment, it is possible to shoot with the cameras 20 </ b> A and 20 </ b> B the intensive shooting target equipment that is a target whose abnormality occurrence probability is equal to or higher than the threshold TH <b> 2. As a result, it is possible to shoot the facility for centralized imaging from multiple directions, and when an abnormality occurs, the cause of the abnormality can be investigated in detail.

[Appendix]
In the second embodiment, the photographing time of the photographing target facility is determined according to the abnormality occurrence probability. In the third embodiment, the number of photographing of the photographing target facility is determined according to the abnormality occurrence probability. In the fourth embodiment, The zoom magnification at the time of photographing of the equipment to be photographed was determined according to the probability of occurrence of abnormality. On the other hand, in addition to the abnormality occurrence probability, the photographing time, the number of photographing times, or the zoom magnification may be determined in consideration of the importance of the equipment set in advance. For example, if equipment with a higher importance value is more important, the greater the product of the probability of occurrence and the importance, the longer the shooting time, the number of shootings, or the greater the zoom magnification. To do. Thus, even if the imaging target equipment A and the imaging target equipment B have the same probability of occurrence, if the importance of the imaging target equipment A is higher than the importance of the imaging target equipment B, the imaging target equipment The shooting time of A can be lengthened, the number of shootings of the shooting target facility A can be increased, or the zoom magnification of the camera when shooting the shooting target facility A can be increased. It should be noted that increasing the shooting time, increasing the number of times of shooting, and increasing the zoom magnification may be performed simultaneously in two or more.

  Part or all of the components constituting the facility monitoring apparatus 10 may be configured by one or more semiconductor integrated circuits such as a system LSI (Large Scale Integration). The system LSI is an ultra-multifunctional LSI manufactured by integrating a plurality of components on a single chip, and specifically, a computer system including a microprocessor, ROM, RAM, and the like. . A computer program is stored in the RAM. The system LSI achieves its functions by the microprocessor operating according to the computer program.

  Further, the present invention may be a computer program for causing a computer to function as the facility monitoring apparatus 10.

The computer program can be recorded and distributed on a computer-readable non-transitory recording medium such as an HDD, CD-ROM, semiconductor memory, etc., and represented by an electric communication line, a wireless or wired communication line, and the Internet. Distribution via a network, data broadcasting, etc.
Further, the facility monitoring apparatus 10 may be realized by a plurality of computers.

In addition, some or all of the functions of the facility monitoring apparatus 10 may be provided by cloud computing. That is, a part or all of the functions of the facility monitoring apparatus 10 may be realized by the cloud server. For example, in the facility monitoring apparatus 10, the function of the abnormality occurrence degree calculation unit 15 may be realized by a cloud server. The facility monitoring apparatus 10 may be configured to transmit the measurement value acquired from the sensor 40 to the cloud server and acquire the abnormality occurrence probability of the facility 31 from the cloud server.
Further, the above embodiments may be combined. For example, in combination with Embodiments 2 and 3, the camera control unit 17 controls the camera so as to allocate more shooting time and more shooting times to a shooting target facility with a higher probability of abnormality. May be.

From the above description, the present invention can also be realized as Supplementary Note 1 shown below.
[Appendix 1]
A camera control program for controlling a camera for photographing a plurality of objects,
Computer
A measurement value acquisition unit that acquires measurement values measured by the sensors from one or more sensors each associated with one or more objects;
Based on the measurement value acquired by the measurement value acquisition unit, an abnormality occurrence degree calculation unit that calculates an abnormality occurrence degree indicating the degree of possibility of occurrence of abnormality in each target;
Based on the abnormality occurrence degree calculated by the abnormality occurrence degree calculation unit, an imaging object selection unit that selects an imaging object from the plurality of objects,
The camera control program for functioning as a camera control part which controls the said camera so that the said imaging | photography object selected by the said imaging | photography target selection part may be image | photographed.

  The embodiment disclosed this time should be considered as illustrative in all points and not restrictive. The scope of the present invention is defined by the terms of the claims, rather than the meanings described above, and is intended to include any modifications within the scope and meaning equivalent to the terms of the claims.

DESCRIPTION OF SYMBOLS 1 Equipment monitoring system 10 Equipment monitoring apparatus 11 Communication I / F part 12 Storage device 13 Image acquisition part 14 Measurement value acquisition part 15 Abnormality degree calculation part 16 Preset information selection part 17 Camera control part 20 Camera 20A Camera 20B Camera 30 Factory 31 Equipment 31A Equipment to be photographed 31B Equipment to be photographed 31C Equipment to be photographed 35 Network 40 Sensor 50 Preset information table

Claims (10)

A camera control program for controlling a camera for photographing a plurality of objects,
Computer
A measurement value acquisition unit that acquires measurement values measured by the sensors from one or more sensors each associated with one or more objects;
Based on the measurement value acquired by the measurement value acquisition unit, an abnormality occurrence degree calculation unit that calculates an abnormality occurrence degree indicating a degree of possibility of occurrence of abnormality in each target;
A preset information selection unit that selects the preset information based on the abnormality occurrence degree calculated by the abnormality occurrence degree calculation unit from a preset information table indicating preset information of the camera for photographing each target; ,
A camera control program for causing a camera control unit to control the camera based on the preset information selected by the preset information selection unit. The camera control program according to claim 1, wherein the camera control unit controls the shooting timing of the camera so that an object with a higher degree of abnormality occurrence is imaged under at least one of a long time and a high frequency. The camera control program according to claim 1, wherein the camera control unit controls the camera so that an object with a higher degree of abnormality occurrence is photographed with higher definition. The camera control program according to any one of claims 1 to 3, wherein the preset information selection unit selects the preset information for photographing an object whose abnormality occurrence degree is a first threshold or more. When the number of objects having the abnormality occurrence level equal to or greater than the first threshold exceeds a predetermined number, the camera control unit selects the object having the abnormality occurrence degree equal to or greater than the first threshold between the camera and another camera. The camera control program according to claim 4, wherein the camera and the other camera are controlled to take a picture. The said camera control part controls the said camera and the said other camera so that the said abnormality occurrence degree may image | photograph the object more than a 2nd threshold value with the said camera and another camera. The camera control program according to claim 1. The camera control unit controls the shooting timing of the camera so that an object with higher importance set in advance for each object is imaged under at least one of a long time period and a high frequency condition. The camera control program according to any one of claims 6 to 6. The camera control according to any one of claims 1 to 7, wherein the camera control unit controls the camera so that an object having a higher importance set in advance for each object is photographed with higher definition. program. A camera control device for controlling a camera for photographing a plurality of objects,
A measurement value acquisition unit that acquires measurement values measured by the sensors from one or more sensors each associated with one or more objects;
Based on the measurement value acquired by the measurement value acquisition unit, an abnormality occurrence degree calculation unit that calculates an abnormality occurrence degree indicating a degree of possibility of occurrence of abnormality in each target;
A preset information selection unit that selects the preset information based on the abnormality occurrence degree calculated by the abnormality occurrence degree calculation unit from a preset information table indicating preset information of the camera for photographing each target; ,
A camera control device comprising: a camera control unit that controls the camera based on the preset information selected by the preset information selection unit. A camera control method for controlling a camera that captures a plurality of objects,
Obtaining measured values measured by the sensors from one or more sensors each associated with one or more objects;
Based on the acquired measurement value, calculating an abnormality occurrence level indicating a degree of possibility of abnormality occurrence in each target;
Selecting the preset information based on the calculated degree of occurrence of abnormality from a preset information table indicating preset information of the camera for photographing each target;
Controlling the camera based on the selected preset information.

Images