Remote monitoring system for machinery and equipment

Abstract

It is possible to monitor alarms from different types of machinery and equipment, and to remotely check the specific operating status while minimizing communication traffic. [Solution] The machine equipment remote monitoring system 10 includes an AI camera device 20 connected to a network 11 and detachably mounted on the machine equipment 60 to monitor the status of alarm units 63 and 64 and transmit monitoring information, a control server 30 connected to the network 11 to process the monitoring information, and a display terminal 40 connected to the network 11 to display the monitoring information processed by the control server 30. The AI ​​camera device 20 monitors the status of alarm units 63 and 64 using at least one of the camera 23 or microphone 24, periodically transmits still image information included in the monitoring information when normal, and transmits video information (real-time streaming) included in the monitoring information when abnormal.

Description

Technical Field

[0001] The present invention relates to a mechanical equipment remote monitoring system for remotely monitoring a mechanical equipment provided with an alarm unit that notifies at least one of a display or a sound of an operating state during normal and abnormal times.

Background Art

[0002] Conventionally, in a medical field, medical devices are used as mechanical equipment. When a medical device such as a ventilator detects an abnormality of a patient, it alarms an operating state during an abnormal time by an abnormal display on a display unit such as a lamp or a monitor or an abnormal alarm sound of a speaker.

[0003] Not only a person around the medical device but also a medical staff or a patient's family member who is away from the medical device can be notified of an operating state of an alarm unit such as a lamp, a monitor, a speaker, etc., it becomes possible to provide better medical services to the patient.

[0004] By the way, depending on the mechanical equipment, there are some that require certification by a registration and certification institution that confirms compliance with standards like medical devices. When retrofitting and using the medical device itself later, it may be necessary to obtain certification again. Some medical devices do not have a function of notifying an alarm to a person in a remote location in advance. In this case, it is preferable to have a system that can detect an operating state of an alarm unit by attaching it like an attachment to the medical device and notify a person in a remote location. As an example of a retrofit device state monitoring system for remotely monitoring a mechanical equipment provided with an alarm unit that notifies an operating state during normal and abnormal times, the technique shown in Patent Document 1 is known.

[0005] The equipment status monitoring system of Patent Document 1 is an equipment status monitoring system comprising: an equipment status monitoring device which includes an optical sensor unit which is placed near a lamp that indicates the status of the equipment by lighting or flashing and detects the lighting or flashing of the lamp, an attachment unit which attaches the optical sensor unit to the equipment, and a transmission unit which transmits the detection signal from the optical sensor unit; and an equipment status monitoring terminal which includes a receiving unit which receives the detection signal from the transmission unit and a notification unit which notifies the monitor that the lighting or flashing state of the lamp has changed based on the detection signal.

[0006] However, while the equipment status monitoring system in Patent Document 1 detects the illumination or flashing of a lamp indicating the operating status of a medical device, some medical devices use monitor displays instead of lamps to warn of their operating status, or use sounds to warn of their operating status, and the system cannot detect warnings other than those from lamps.

[0007] Furthermore, while the equipment status monitoring system described in Patent Document 1 has a notification unit that notifies of detected abnormalities, it is not possible to remotely confirm the specific operating status, especially when an alarm is issued via a monitor display. [Prior art documents] [Patent Documents]

[0008] [Patent Document 1] Japanese Patent Publication No. 2019-219902 [Overview of the Initiative] [Problems that the invention aims to solve]

[0009] In view of the above, the present invention aims to provide a remote monitoring system for machinery and equipment that can monitor alarms of different types of machinery and equipment, and can remotely confirm specific operating conditions while minimizing the amount of communication required. [Means for solving the problem]

[0010] A remote monitoring system for machinery and equipment that remotely monitors machinery and equipment equipped with an alarm unit that indicates the operating status in normal and abnormal conditions by display or sound, The system comprises an AI camera device connected to a network and detachably mounted on the machine or equipment to monitor the status of the alarm unit; a control server connected to the network to process the monitoring information; and a display terminal connected to the network to display the monitoring information processed by the control server. The AI ​​camera device comprises a camera for capturing images, a microphone for collecting sound, and a discrimination unit that learns and distinguishes between the normal and abnormal operating states of the alarm unit. It is characterized by monitoring the state of the alarm unit using at least one of the camera or the microphone, periodically transmitting still image information included in the monitoring information when the system is functioning normally, transmitting alarm generation information when the system is abnormal, and transmitting video information (real-time streaming, video information with sound) included in the monitoring information upon receiving a start request from the display terminal.

[0011] With this configuration, the remote monitoring system for machinery and equipment includes an AI camera device connected to a network to monitor the status of the alarm unit, a control server that processes the monitoring information, and a display terminal that displays the monitoring information processed by the control server, so that the operating status of the machinery and equipment can be checked remotely. Furthermore, the AI ​​camera device is detachably mounted on the machinery and equipment and includes a camera for capturing images, a microphone for collecting sound, and a discrimination unit that learns and distinguishes between the normal and abnormal operating states of the alarm unit. Therefore, it can be easily retrofitted to different types of machinery and equipment, and can learn the normal and abnormal operating states of different types of machinery and equipment, enabling monitoring of alarms of different types of machinery and equipment. In addition, the AI ​​camera device monitors the status of the alarm unit using at least one of the camera or microphone, periodically transmits still image information included in the monitoring information when normal, transmits alarm generation information when abnormal, and transmits video information included in the monitoring information upon receiving a start request from the display terminal. Therefore, it is possible to efficiently manage data with low power consumption while reducing the amount of communication, and still image information and video information can be displayed at appropriate times to remotely check the specific operating status.

[0016] Preferably, if the control server fails to receive the still image information from the AI ​​camera device after a predetermined period of time has elapsed, it sends error information to the display terminal and displays an error on the display terminal.

[0017] With this configuration, if the control server fails to receive still image information from the AI ​​camera device after a predetermined time has elapsed, it sends error information to the display terminal, which then displays an error. This allows for early detection of any abnormality in the AI ​​camera device, enabling accurate monitoring even remotely.

[0018] Preferably, the control server stores the still image information and can check the stored still image information upon request from the display terminal.

[0019] With this configuration, the control server stores still image information and can check the stored still image information upon request from the display terminal, so the status over time can also be easily checked from the display terminal.

[0020] Preferably, the control server has information on a floor map in which the AI ​​camera device is located, and the floor map displays a still image display button and a video display button at the location where the AI ​​camera device is installed. When the floor map is displayed on the display terminal under normal conditions, selecting the still image display button will display the still image information, and selecting the video display button and making a start request will cause the AI ​​camera device to transmit the video information and display the video information.

[0021] In this configuration, the control server has information on a floor map where the AI ​​camera devices are located. The floor map displays still image display buttons and video display buttons for the AI ​​camera devices. When the floor map is displayed on the display terminal under normal conditions, selecting the still image display button will show still image information, and selecting the video display button will show video information. This allows users to selectively check the location and the status of the machinery and equipment located there using both still image and video information.

[0022] Preferably, in the event of an abnormality, the display terminal will be notified by a flashing display of the floor map and an audible alert.

[0023] With this configuration, in the event of an abnormality, the display terminal will notify the user with a flashing light on the floor map and an audible alert, allowing them to notice the abnormality in the alarm unit of the machinery or equipment even from a distance.

[0024] Preferably, the video information is displayed on the display terminal by selecting the abnormal flashing display on the floor map.

[0025] According to such a configuration, in the display terminal, video information is displayed by selecting the abnormal flashing display of the floor map, so that the state at the time of abnormality can be confirmed in detail and specifically.

Advantages of the Invention

[0028] Alarms of different types of mechanical appliances can be monitored, and the specific operating state can be remotely confirmed while suppressing the communication volume.

Brief Description of the Drawings

[0029] [Figure 1] It is an explanatory diagram of a mechanical appliance remote monitoring system according to an embodiment of the present invention. [Figure 2] It is an explanatory diagram of an AI camera device according to an embodiment of the present invention. [Figure 3] It is an explanatory diagram of a state where an AI camera device according to an embodiment of the present invention is attached to a mechanical appliance. [Figure 4] It is an explanatory diagram of a main body part of a medical device according to an embodiment of the present invention. [Figure 5] It is a flow of a mechanical appliance remote monitoring system according to an embodiment of the present invention. [Figure 6] It is a flow of an AI camera device according to an embodiment of the present invention. [Figure 7] It is a flow of a control server according to an embodiment of the present invention.

Modes for Carrying Out the Invention

[0030] Embodiments of the present invention will be described below based on the attached drawings. Note that each explanatory diagram of the mechanical appliance remote monitoring system conceptually shows an example.

Examples

[0031] As shown in Figures 1 and 3, the remote monitoring system 10 for medical devices remotely monitors medical devices 60 equipped with alarm units 63 and 64 that indicate the operating status of normal and abnormal conditions by display or sound, or by any other means. In Figure 1, the medical devices 60 are two types of medical devices (ventilators).

[0032] Next, an example of machinery and equipment 60 will be described. The machine 60 is a medical device. For example, the medical device 60 is a ventilator, which comprises a frame 61 with casters, a main unit 62 provided on the frame 61 that supplies air to the patient to assist in oxygen supply and carbon dioxide removal, an alarm unit (display unit) 63 provided on the main unit 62 that displays the operating status in normal and abnormal conditions, an other display unit 65 that displays other conditions of the device, and an alarm unit (speaker) 64 provided on the main unit 62 that provides sound to indicate the operating status in normal and abnormal conditions.

[0033] The alarm unit (display unit) 63, which uses a screen display, has various display methods depending on the model, such as displaying text, changing colors, or flashing. In this embodiment, it shows an operating state that results in an abnormal display 63a, indicating an abnormal situation. The audible alarm unit (speaker) 64 can also indicate an abnormal operating state by emitting sound from silence, or by changing the type of sound or the timing (tempo) of the sound.

[0034] In this embodiment, the mechanical device 60 was used as two types of ventilators, but it is not limited to these, and may be used as one type of ventilator, other types of medical devices, or multiple types of medical devices.

[0035] Next, we will describe the entire machine and equipment remote monitoring system 10. The machine equipment remote monitoring system 10 includes an AI camera device 20 that is connected to a network 11 and is detachably attached to the machine equipment 60 to monitor the status of alarm units 63 and 64 and transmit monitoring information, a control server 30 that is connected to the network 11 and processes the monitoring information, and a display terminal 40 that is connected to the network 11 and displays the monitoring information processed by the control server 30.

[0036] The display terminal 40 is, for example, a tablet PC. In this embodiment, the display terminal 40 is a tablet PC, but it is not limited to this. The display terminal 40 may be a smartphone, a notebook PC, or any other device that is connected to the network 11 and can display monitoring information processed by the control server 30.

[0037] Next, we will explain an example of what is displayed on the display terminal 40. As shown in Figure 1, the display is a floor map of the ward 42, showing the nurse station, a corridor, and several patient rooms 42 facing the corridor. Medical equipment (medical devices, ventilators) 60 are placed in several patient rooms 42, and in the patient rooms 42 where the equipment 60 is placed, a rectangular still image display button 43 and a circular video display button 44 are displayed.

[0038] In the alarm units 63 and 64 of the machine equipment 60, the still image display button 43 and the video display button 44 are displayed in white when the machine is operating normally, and the still image display button 43 and the video display button 44 (45) are displayed with an "X" when the machine is operating abnormally. In Figure 1, the video display button 45 of one patient room 42 is displayed with an "X", indicating that the machine is operating abnormally.

[0039] In this embodiment, the still image display button 43 is square and the video display button 44 is circular, but this is not limited to this. The shape and color of the display buttons can be anything, such as making the still image display button a green circle and the video display button a green square, with red displayed in case of abnormality. Furthermore, the display may not show any status during normal operation and may only show the status in case of abnormality. As long as still image information and video information can be displayed, the display format is not limited. The video information is real-time video (streaming) with sound captured by the AI ​​camera device 20.

[0040] Furthermore, by selecting the still image display button 43 or the video display button 44 (or the video display button 45 in case of an anomaly) on the floor map 41 displayed on the display terminal 40, the still image information or video information captured by the AI ​​camera device 20 can be viewed on the display terminal 40, respectively. An example of the display of still image information or video information is shown in Figure 4, specifically in the alarm unit 63 (anomaly display 63a).

[0041] In detail, under normal circumstances, video information is transmitted from the AI ​​camera device 20 upon request from the display terminal 40 and can be viewed on the display terminal 40. In the event of an abnormality, the display terminal 40 is notified by an abnormal flashing display on the floor map 41 and an audible alert. Furthermore, the video information can be displayed on the display terminal 40 by selecting (selecting) the abnormal flashing display on the floor map 41.

[0042] Next, I will explain the AI ​​camera device 20. Refer to Figures 2, 3, and 4 together. The AI ​​camera device 20 comprises a housing 21 that forms the outer casing, a mounting arm 22 that extends deformably from the housing 21 and can be attached to the machinery 60, a camera 23 provided in the housing 21 for imaging, a microphone 24 provided in the housing 21 for sound collection, a discrimination unit 25 that learns and distinguishes between the normal and abnormal operating states of the alarm units 63 and 64 and also has the function of sending and receiving monitoring information, etc., and a cooling fan 26 provided in the housing 21 that cools the camera 23 via a heat sink nearby.

[0043] The AI ​​camera device 20 monitors the status of the alarm units 63 and 64 using at least one of the cameras 23 or microphones 24. When functioning normally, it periodically transmits still image information included in the monitoring information, and when functioning abnormally, it transmits video information included in the monitoring information. The monitoring information includes still image information, video information, audio, ID, etc.

[0044] Furthermore, the AI ​​camera device 20 is provided in multiple units, and monitors the status of the alarm units 63 and 64 with cameras 23 and microphones 24. When normal, it periodically transmits still image information included in the monitoring information, and when abnormal, it transmits video information included in the monitoring information. Here, the periodic interval can be 1 minute, 5 minutes, 10 minutes, or 30 minutes, and can be freely set to an appropriate time interval or time.

[0045] Next, the discrimination unit 25 of the AI ​​camera device 20 will be described. The discrimination unit 25 is equipped with artificial intelligence (AI) and uses machine learning to distinguish between image data (image from the alarm unit (display unit) 63 in Figure 4) and sound data (sound from the alarm unit (speaker) 64 in Figure 4). Generally, machine learning refers to the technology of learning regularities and judgment criteria from data, and predicting and judging unknown things based on the learned regularities and judgment criteria, as well as analytical techniques related to artificial intelligence. Deep learning, which is encompassed within machine learning, may also be used. Deep learning is an extension of the neural network analysis method, which is a more fundamental and broad machine learning method, and is a method that enables highly accurate analysis and utilization. In one embodiment of the present invention, machine learning in which training data corresponding to the correct answer is provided, known as supervised learning, may be used. Examples of analytical methods for supervised learning include regression analysis and decision trees.

[0046] Furthermore, neural networks are also applied in fields such as image recognition, and neural networks with two or more hidden layers are called deep learning. Deep learning is a method that extracts features that characterize the given data without human instruction on which features to focus on, and learns the rules and regularities contained in the data.

[0047] The discrimination unit 25 extracts feature quantities that represent the normal and abnormal images and sounds of the alarm unit 63 of a predetermined machine device 60 from the image data and sound data used as training data, and generates and stores an estimation model that estimates the display and sound for normal and abnormal situations from these feature quantities using machine learning.

[0048] Furthermore, the discrimination unit 25 extracts the display and sound characteristics for normal and abnormal situations of the object to be discriminated against from the image data and sound data from the camera 23 and microphone 24, calculates and outputs the similarity with pre-stored data, and transmits information regarding the display for normal situations and the display / alarm for abnormal situations based on the discrimination result.

[0049] Next, the control server 30 will be described. If the control server 30 fails to receive still image information from the AI ​​camera device 20 after a predetermined time has elapsed, it sends error information to the display terminal 40 and displays an error on the display terminal 40. The control server 40 saves the still image information and can check the saved still image information upon request from the display terminal 40.

[0050] Furthermore, the control server 30 has information on the floor map 41 where the AI ​​camera device 20 is located. The floor map 41 displays the still image display button 43 and the video display button 44 for the AI ​​camera device 20. When the floor map 41 is displayed on the display terminal 40 under normal conditions, selecting the still image display button 43 will display still image information, and selecting the video display button 44 will display video information.

[0051] Next, we will describe the overall flow of the machine and equipment remote monitoring system 10. As shown in Figure 5, the flow of instruction information and transmitted data between the AI ​​camera device (Device) 20, the control server (Server) 30, and the display terminal (Tablet) 40 is illustrated.

[0052] Under normal circumstances, the AI ​​camera device 20 transmits the set time and still image information to the control server 30, which receives and stores the still image information. When a request for still image information is made from the display terminal 40, the control server 30 distributes the still image information, and the still image information is displayed on the display terminal 40.

[0053] In the event of an anomaly, the AI ​​camera device 20 notifies the control server 30 of the alarm, the control server 30 notifies the display terminal 40 of the alarm, and the display terminal 40 displays the alarm. When the display terminal 40 requests the control server 30 to start streaming video information, the control server 30 requests the AI ​​camera device 40 to start streaming the video information, the AI ​​camera device 40 streams the video information to the control server 30, and then streams it to the display terminal 40 for display. The control server 30 stores the streamed video information that has been requested to start, and it can be viewed from the display terminal 40 at any time.

[0054] When the display terminal 40 requests the control server 30 to terminate the video information (streaming), the control server 30 requests the AI ​​camera device 20 to terminate the video information (streaming), and the AI ​​camera device 20 terminates the transmission of video information (streaming).

[0055] Next, we will explain the flow of the AI ​​camera device 20. In the diagram, STEP will be represented as S. As shown in Figure 6, the AI ​​camera device (Device) 20 monitors the alarms of the alarm units 63 and 64 of the medical device (medical equipment) 60 (STEP 1), determines whether there is an alarm (STEP 2), proceeds to STEP 3 to check for a video information (streaming) start request if there is an alarm, and proceeds to STEP 6 to alarm occurrence notification and terminates.

[0056] If there is no request to start video information (streaming) in STEP 3, proceed to STEP 4 to check for the presence of a request to end video information (streaming). If there is a request to start video information (streaming), proceed to STEP 7 to start sending video information and finish.

[0057] If there is no request to end video information (streaming) in STEP 4, proceed to STEP 5 to check for the presence of a set time. If there is a request to end video information (streaming), proceed to STEP 8 to end video information transmission and finish.

[0058] If no time is set in STEP 5, the process ends. If a time is set, the process proceeds to STEP 9 to send still image information and then ends. After completion, the flow described above is looped.

[0059] Next, we will explain the flow of the control server (Server) 30. As shown in Figure 7, the control server (Server) 30 determines whether or not an alarm notification has been received from the AI ​​camera device (Device) 20 (STEP 10). If there is no alarm notification, it proceeds to STEP 11 to check for a request to start video information (streaming) from the display terminal (Tablet) 40. If there is an alarm notification, it proceeds to STEP 16 to send an alarm notification to the display terminal (Tablet) 40 and terminates.

[0060] If there is no request to start video information (streaming) from the display terminal (Tablet) 40 in STEP 11, the process proceeds to STEP 12 to check for a request to end video information (streaming) from the display terminal (Tablet) 40. If there is a request to start video information (streaming), a request to start video information (streaming) is sent to the AI ​​camera device (Device) 20 in STEP 17, followed by receiving and saving the video information in STEP 18, and finally distributing the video information to the display terminal (Tablet) 40 in STEP 19, at which point the process ends.

[0061] If there is no request to end video information (streaming) from the display terminal (Tablet) 40 in STEP 12, the process proceeds to STEP 13 to check for the reception of still image information. If there is a request to end video information (streaming), the process proceeds to STEP 20 to send a video information (streaming) termination request to the AI ​​camera device (Device) 20 and terminates.

[0062] If no still image information is received in STEP 13, the process proceeds to STEP 14, which checks for a request for still image information from the display terminal (Tablet) 40. If still image information is received, the process proceeds to STEP 21, which involves receiving and saving the still image information, and then terminates.

[0063] If no still image information request is received from the display terminal (Tablet) 40 in STEP 14, the process proceeds to STEP 15 to check for a timeout at the set time. If a still image information request is received, the process proceeds to STEP 22 to distribute the still image information to the display terminal (Tablet) 40 and then terminates.

[0064] If there is no timeout at the set time in STEP 15, the process terminates. If there is a timeout at the set time, the process proceeds to the error handling of the AI ​​camera device 20 in STEP 23 and terminates. After termination, the flow described above is looped.

[0065] Next, we will explain the operation and effects of the machine and equipment remote monitoring system 10 described above. In this embodiment of the present invention, the machine equipment remote monitoring system 10 includes an AI camera device 20 connected to a network 11 to monitor the status of alarm units 63 and 64, a control server 30 that processes monitoring information, and a display terminal 40 that displays the monitoring information processed by the control server 30, so that the operating status of the machine equipment 60 can be checked remotely. Furthermore, the AI ​​camera device 40 is detachably attached to the machine equipment 60 and includes a camera 23 for capturing images, a microphone 24 for collecting sound, and a discrimination unit 25 that learns and distinguishes between the normal and abnormal operating states of the alarm units 63 and 64. Therefore, it can be easily retrofitted to different types of machine equipment 60, and can learn the normal and abnormal operating states of different types of machine equipment 60, so that alarms of different types of machine equipment 60 can be monitored. Furthermore, the AI ​​camera device 20 monitors the status of the alarm units 63 and 64 using at least one of the cameras 23 or microphones 24. When normal, it periodically transmits still image information included in the monitoring data. When abnormal, it transmits alarm generation information and, upon receiving a request from the display terminal 40, transmits video information included in the monitoring data. This allows for efficient data operation with reduced power consumption while minimizing communication volume, and enables remote confirmation of the specific operating status by displaying still image and video information at appropriate timings.

[0066] Furthermore, the AI ​​camera device 20 is equipped with multiple units, and the cameras 23 and microphones 24 monitor the status of the alarm units 63 and 64, so that alarms of machinery and equipment 60 located in multiple locations can be monitored, and accurate monitoring can be performed with both the cameras 23 and microphones 24. In addition, the AI ​​camera device 20 periodically transmits still image information included in the monitoring information when normal, and transmits video information included in the monitoring information when abnormal, so that the specific operating status can be remotely confirmed while reducing the amount of communication and performing efficient data operation with low power consumption.

[0067] Furthermore, in normal operation, video information is transmitted from the AI ​​camera device 20 upon request from the display terminal 40 and can be viewed on the display terminal, allowing for remote confirmation of the specific operating status at an appropriate time.

[0068] Furthermore, if the control server 30 fails to receive still image information from the AI ​​camera device 20 after a predetermined time has elapsed, it sends error information to the display terminal 40, which then displays an error. This allows for early detection of any abnormal situation and enables accurate monitoring even remotely.

[0069] Furthermore, the control server 30 stores still image information, and the stored still image information can be viewed upon request from the display terminal 40, so the status over time can also be easily checked from the display terminal 40.

[0070] Furthermore, the control server 30 has information on the floor map 41 where the AI ​​camera device 20 is located. The floor map 41 displays a still image display button 43 and a video display button 44 for the AI ​​camera device 20. When the floor map 41 is displayed on the display terminal under normal conditions, selecting the still image display button 43 will display still image information, and selecting the video display button 44 and making a request will transmit real-time video information from the AI ​​camera device 20, which will then be displayed on the floor map 41. This allows users to selectively check the location and the status of the machinery and equipment 60 located there using both still image information and real-time video information.

[0071] Furthermore, in the event of an abnormality, the display terminal 40 will notify the user of the abnormality in the floor map 41 by displaying an abnormal flashing indicator 63a and an audible alert, so that even from a distance, the user can notice the abnormality in the alarm units 63 and 64 of the machinery and equipment 60.

[0072] Furthermore, by selecting the abnormal flashing display 63a on the floor map 41 on the display terminal 40, real-time video information is displayed, allowing for detailed and specific confirmation of the abnormal situation.

[0073] Furthermore, since the machinery and equipment 60 are medical devices, nurses and other staff can easily and accurately monitor alarms from different types of medical devices 60 used for inpatients in the ward, and even if multiple medical devices 60 are deployed in a large ward, the specific operating status can be remotely confirmed while keeping the amount of communication to a minimum.

[0074] In this embodiment, the AI ​​camera device 40 is equipped with artificial intelligence (AI) for decision-making, but the invention is not limited to this, and the control server 30 may also be equipped with artificial intelligence (AI) to distribute the processing. Also, in this embodiment, the machine learning of the artificial intelligence (AI) is supervised, but the invention is not limited to this, and it may also be unsupervised, and any method that can perform machine learning is acceptable.

[0075] Furthermore, although the machine 60 in this embodiment is a medical device, it is not limited to this, and the machine 60 may be used as a general-purpose machine, or any machine 60 equipped with an alarm that indicates the operating status in normal and abnormal conditions by display or sound may be used as a general industrial machine.

[0076] In other words, the present invention is not limited to the examples, as long as it achieves the functions and effects of the present invention. [Industrial applicability]

[0077] The technology of the present invention is suitable for a remote monitoring system for machinery and equipment that remotely monitors machinery and equipment equipped with an alarm unit that indicates the operating status of normal and abnormal conditions by display or sound, or by any other means. [Explanation of symbols]

[0078] 10… Remote monitoring system for machinery and equipment 11…Network 20…AI camera device 21... Cabinet 22…Mounting arm 23... Camera 24... Mike 25...Discrimination unit (transmitting / receiving unit) 26…Cooling fan 30…Control Server 40…Display devices (tablets, tablet PCs, smartphones, laptops) 41…Floor map 42...Hospital room 43…Still image display button 44...Video display button 45… Abnormal flashing of the video display button 60…Machinery and equipment (medical devices, ventilators, general-purpose machinery, industrial machinery) 61...frame 62...Main body 63...Alarm section (display section) 63a...Abnormal display 64… Alarm unit (speaker)

Claims

1. A remote monitoring system for machinery and equipment that remotely monitors machinery and equipment equipped with an alarm unit that indicates the operating status in normal and abnormal conditions by display or sound, The system comprises an AI camera device connected to a network and detachably mounted on the machine or equipment to monitor the status of the alarm unit; a control server connected to the network to process monitoring information; and a display terminal connected to the network to display the monitoring information processed by the control server. The AI ​​camera device comprises a camera for capturing images, a microphone for collecting sound, and a discrimination unit that learns and distinguishes between the normal and abnormal operating states of the alarm unit. The device monitors the state of the alarm unit using at least one of the camera or the microphone, periodically transmits still image information included in the monitoring information when the system is functioning normally, transmits alarm generation information when the system is functioning abnormally, and transmits video information included in the monitoring information upon receiving a start request from the display terminal. The control server has information on the floor map where the AI ​​camera device is located, and the floor map displays still image display buttons and video display buttons for the AI ​​camera device. A remote monitoring system for machinery and equipment, characterized in that, when the floor map is displayed on the display terminal under normal conditions, the still image information is displayed by selecting the still image display button, and when the video display button is selected and a start request is made, the video information is transmitted from the AI ​​camera device and the video information is displayed.

2. A remote monitoring system for machinery and equipment according to claim 1, The remote monitoring system for machinery and equipment is characterized in that, when the control server fails to receive the still image information from the AI ​​camera device after a predetermined period of time has elapsed, it sends error information to the display terminal and displays an error on the display terminal.

3. A remote monitoring system for machinery and equipment according to claim 1 or claim 2, The remote monitoring system for machinery and equipment is characterized in that the control server stores the still image information and can check the stored still image information upon request from the display terminal.

4. A remote monitoring system for machinery and equipment according to claim 1 or claim 2, A remote monitoring system for machinery and equipment, characterized in that, in the event of an abnormality, the display terminal is notified by a flashing display of the floor map and an audible alert.

5. A remote monitoring system for machinery and equipment according to claim 4, A remote monitoring system for machinery and equipment, characterized in that the video information is displayed by selecting the abnormal flashing display on the floor map on the display terminal.

Images