CN115914575A - Equipment working condition capturing system and method - Google Patents
Equipment working condition capturing system and method Download PDFInfo
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- 238000013024 troubleshooting Methods 0.000 abstract description 6
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- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/42—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by implementation details or hardware specially adapted for video compression or decompression, e.g. dedicated software implementation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/14—Picture signal circuitry for video frequency region
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract
The invention discloses a system and a method for capturing equipment working conditions. The method comprises the following steps: the device comprises a data module, a camera module, a storage module and a capturing module; the data module is used for acquiring the operation working data of the equipment to be tested; the capturing module is used for controlling the camera module to acquire video data of the equipment to be tested in real time; the capture module is also connected with the data module; the capturing module is also used for detecting the running state of the equipment to be detected according to the video data acquired by the camera module; when the running state is abnormal, the capture module synchronizes the video data within a preset time range with the running working data detected by the data module to obtain synchronous data; the storage module is used for storing the synchronous data. The invention provides a system and a method for capturing the working condition of equipment, which realize the identification of the abnormal state of the equipment to be tested and the synchronous storage of data and improve the efficiency of the maintenance analysis and troubleshooting of the equipment.
Description
Technical Field
The embodiment of the invention relates to the technical field of data monitoring, in particular to a system and a method for capturing equipment working conditions.
Background
With the progress of industry, the complexity of the operation and production troubleshooting of equipment is gradually increased, so that the equipment needs to be inspected in an auxiliary manner by applying technologies such as video monitoring and the like to perform troubleshooting.
The traditional monitoring device in the prior art has single function, is low in integration level and matching degree with equipment, can only realize simple video recording, cannot adapt to the requirements of comprehensive monitoring and troubleshooting of equipment to be tested, and influences the efficiency of equipment debugging and fault backtracking.
Disclosure of Invention
The invention provides a system and a method for capturing the working condition of equipment, which realize the identification of the abnormal state of the equipment to be tested and the synchronous storage of data and improve the efficiency of the maintenance analysis and troubleshooting of the equipment.
In a first aspect, an embodiment of the present invention provides an apparatus condition capture system, including: the device comprises a data module, a camera module, a storage module and a capture module;
the data module is used for acquiring the operation working data of the equipment to be tested;
the capture module is connected with the camera module; the capturing module is used for controlling the camera module to acquire video data of the equipment to be tested in real time;
the capture module is also connected with the data module; the capturing module is also used for detecting the running state of the equipment to be detected according to the video data acquired by the camera module; when the running state is abnormal, the capture module synchronizes the video data within a preset time range with the running working data detected by the data module to obtain synchronous data; the storage module is connected with the capture module; the storage module is used for storing the synchronous data.
Optionally, the capturing module includes a camera control unit and a video detection unit;
the camera control unit is connected with the camera module; the camera control unit is used for debugging and controlling the camera module to acquire the video data of the equipment to be tested in real time;
the video detection unit is connected with the camera control unit; the video detection unit is used for detecting a target behavior of the video data, and if the target behavior is different from a preset behavior, the video detection unit judges that the running state is abnormal.
Optionally, the capturing module further comprises: an acquisition unit and a synchronization unit;
the acquisition unit is connected with the video detection unit; the acquisition unit is used for acquiring the corresponding time when the running state is abnormal and determining the preset time range according to the time;
the synchronization unit is connected with the acquisition unit; the synchronization unit is used for intercepting the video data and the operation working data within the preset time range, and synchronizing the video data and the operation working data according to the time marks of the video data and the operation working data to obtain synchronization data.
Optionally, the storage module includes a first storage unit and a second storage unit;
the first storage unit is used for caching the video data and the operation working data when the operation state is normal;
the second storage unit is used for storing the synchronous data when the running state is abnormal.
Optionally, the device condition capturing system further includes an image processing module, and the image processing module is connected between the storage module and the capturing module; the image processing module is used for caching the video data to the first storage unit at a first resolution ratio when the running state is normal;
the image processing unit is further used for caching the video data to the second storage unit at a second resolution ratio when the running state is abnormal; wherein the first resolution is less than the second resolution.
Optionally, the camera module includes at least one of an industrial camera, a high-speed camera, and a USB camera.
Optionally, the capture module and the data module communicate with each other through OPC-UA.
In a second aspect, an embodiment of the present invention provides an apparatus operating condition capturing method, including:
acquiring operation working data of equipment to be tested;
controlling a camera module to acquire video data of the equipment to be tested in real time;
detecting the running state of the equipment to be detected according to the video data; when the running state is abnormal, synchronizing the video data within a preset time range with the running working data to obtain synchronous data;
and storing the synchronous data.
Optionally, detecting the running state of the device to be tested according to the video data; when the running state is abnormal, synchronizing the video data and the running working data within a preset time range to obtain synchronous data, wherein the synchronizing data comprises:
acquiring corresponding time when the running state is abnormal;
determining the preset time range according to the time;
intercepting the video data and the operation working data within the preset time range;
and synchronizing the video data and the operation working data according to the time identifications of the video data and the operation working data to obtain synchronous data.
Optionally, storing the synchronization data includes:
when the running state is normal, caching the video data to a first storage unit at a first resolution;
when the running state is abnormal, caching the video data to a second storage unit at a second resolution; wherein the first resolution is less than the second resolution.
According to the technical scheme provided by the embodiment of the invention, the capture module is used for detecting the video data acquired by the camera module in real time, the running state of the equipment to be tested is monitored according to the video data, when the equipment to be tested has running abnormity, the capture module is used for matching and synchronizing the video data and the running working data within the preset time range including the time corresponding to the running abnormity, so that synchronous data is obtained, the synchronous data is stored in the storage module, maintenance personnel can read the synchronous data to perform data analysis before and after the time of a fault point, the efficiency of fault removal is improved, the debugging time is saved, and the development efficiency of the equipment is improved.
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Fig. 1 is a schematic structural diagram of an apparatus condition capture system according to an embodiment of the present invention.
FIG. 2 is a schematic structural diagram of another device condition capture system according to an embodiment of the present invention.
Fig. 3 is a schematic flowchart of a method for capturing operating conditions of equipment according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
FIG. 1 is a schematic structural diagram of a device condition capturing system according to an embodiment of the present invention, and referring to FIG. 1, the system includes a data module 110, a camera module 120, a storage module 130, and a capture module 140;
the data module 110 is configured to obtain operation work data of the device under test 150;
the capture module 140 is connected with the camera module 120; the capture module 140 is configured to control the camera module 120 to obtain video data of the device under test 150 in real time;
the capture modules 140 are respectively connected with the data modules 110; the capture module 140 is further configured to detect an operating state of the device under test 150 according to the video data acquired by the camera module; when the operation state is abnormal, the capture module 140 synchronizes the video data within the preset time range with the operation work data detected by the data module 110 to obtain synchronized data; the storage module 130 is connected with the capture module 140; the storage module 130 is used for storing synchronization data.
Specifically, the operation data is the internal parameter variation of the device under test 150 and the corresponding time information, for example, the internal parameter includes parameters such as the height and speed of the mechanical movement of the device under test 150; electrical parameters such as voltage, current and power. The time information is the corresponding time of the device under test 150 on the same time axis, for example, a time axis of 24 hours in a day, when each internal parameter changes, the corresponding time is recorded at the same time, wherein the maximum accuracy of the time setting can be as high as milliseconds. The data module 110 is generally integrated on the device under test 150, and the data module 110 records the internal parameter variation and the time corresponding to the parameter of the device under test 150 through rapid cyclic scanning. For example, a programmable logic controller, a device controller, a data controller, and the like inside the device under test 150 may be multiplexed as the data module 110, and when the device under test 150 is started, the data module 110 obtains the internal parameter change and the corresponding time information of the device under test 150 in real time, and performs real-time data interaction with the capture module 140.
The camera module 120 is configured to collect video data, and the camera module 120 may perform a view range setting according to a specific working condition, for example, monitor a specific position of the device to be tested 150, perform target tracking on the specific position, or perform overall monitoring on the device to be tested 150, so as to implement overall status detection. The camera module 120 is connected to the capture module 140, and the camera module 120 performs parameter configuration through the capture module 140 to monitor the device under test 150 in real time, and obtain video data of the device under test 150 in real time.
The capturing module 140 captures an operating state of the device under test 150 according to the video data based on the visual monitoring algorithm, and if there is a difference between the operating state and the preset target feature, the operating state of the device under test 150 is abnormal, for example, the process of the capturing module 140 detecting the operating state: the video data shot by the camera module 120 is preprocessed based on a visual monitoring algorithm, wherein the detection mode of the capturing module 140 comprises a motion detection mode and a target tracking mode, the motion detection mode is used for detecting whether the picture in the area moves or stops, the camera module 120 captures a specific area, the capturing module 140 extracts characteristic information of the specific area and performs motion detection on the specific area, namely, whether an object moves in the specific area is judged, if the stopping time exceeds a preset time, the running state is abnormal, such as equipment jamming and emergency stop, and the video data and the running work data in a preset time range before and after the abnormal time are matched and synchronized and stored.
The target tracking mode is to detect the movement of a moving target, such as an air cylinder moving up and down. The camera module 120 captures a moving target, the capture module 140 compresses and adjusts video data, performs processing such as noise removal and image enhancement on the video image, extracts characteristic information of the video image, such as a track coordinate of the moving target, so as to track the moving target, if the track coordinate of the moving target exceeds a preset track coordinate, the moving target is abnormal, and matches, synchronizes and stores the video data and the running work data within a preset time range before and after abnormal time.
Therefore, the time information of the operating working data is matched with the time information of the video data, and the synchronous data in the preset time period is obtained. The synchronous data is stored in the storage module 130, and maintenance personnel can read the synchronous data to analyze the data before and after the fault point time, so that the fault removal efficiency is improved, the debugging time is saved, and the equipment development efficiency is improved.
For example, the motion detection mode and the target tracking mode may be operated independently, and may be adjusted according to the detected application condition, for example, the motion detection mode may be selected for macro monitoring of a large-scale device, and the target tracking mode may be selected for monitoring details inside the device, for example, a clamping jaw or an air cylinder inside the device may be detected. For example, the motion detection mode and the target tracking mode may be self-resuming. That is to say, equipment operating mode capture system keeps operating, and after the equipment is detected the anomaly, the data save back can operate once more and carry out the anomaly detection, need not restart the repetitive settings.
According to the technical scheme provided by the embodiment of the invention, the capture module is used for detecting the video data acquired by the camera module in real time, the running state of the equipment to be tested is monitored according to the video data, when the equipment to be tested has abnormal running, the capture module is used for matching and synchronizing the video data and the running working data within the preset time range including the time corresponding to the abnormal running, so that the synchronous data is obtained, the synchronous data is stored in the storage module, maintenance personnel can read the synchronous data to analyze the data before and after the time of a fault point, the fault removal efficiency is improved, the debugging time is saved, and the equipment development efficiency is improved.
Optionally, fig. 2 is a schematic structural diagram of another device condition capturing system according to an embodiment of the present invention, referring to fig. 2, the capturing module 140 includes a camera control unit 141 and a video detection unit 142;
the camera control unit 141 is connected to the camera module 120; the camera control unit 141 is configured to debug and control the camera module 120 to acquire video data of the device under test 150 in real time;
a video detection unit 142 and a camera control unit 141; the video detection unit 142 is configured to perform target behavior detection on the video data, and determine that the running state is abnormal if the target behavior is different from a preset behavior.
Specifically, the capture module 140 integrates the camera control unit 141, the camera control unit 141 is a configuration unit of the camera module 120, programs such as a camera tracking and vision application can be configured through the camera control unit 141, and the camera control unit 141 configures a camera Software Development Kit (SDK) so as to control the camera module 120 to acquire video data of the target area of the device under test 150 in real time according to the configuration program. The video detection unit 142 is connected to the camera control unit 141, the video detection unit 142 captures the operating state of the device under test 150 according to the video data based on a visual monitoring algorithm, performs comparative analysis according to the characteristics of the operating state and preset target characteristics, and determines that the operating state is abnormal if the characteristics of the two are different, which indicates that the operating state of the device under test 150 does not satisfy the predetermined state.
Optionally, the capturing module 140 further includes: an acquisition unit 143 and a synchronization unit 144;
the acquisition unit 143 is connected to the video detection unit 142; the obtaining unit 143 is configured to obtain time corresponding to the abnormal operating state, and determine a preset time range according to the time;
the synchronization unit 144 is connected to the acquisition unit 143; the synchronization unit 144 is configured to intercept the video data and the operation working data within a preset time range, and synchronize the video data and the operation working data according to time identifiers of the video data and the operation working data to obtain synchronization data.
Specifically, when the operation state is abnormal, the acquisition unit 143 may acquire a time point when the abnormality occurs, based on the video data corresponding to the determination of the abnormality of the operation state. Wherein the time information of the video data and the time information of the operating data are applied in the same time axis, for example, in a standard 24-hour time axis in a day, a specific time point of the abnormality can be determined according to the video data. From the time point at which the abnormality occurs, a preset time range including the time point may be determined, for example, the time point at which the abnormality occurs is 17: 45 to 17.
The synchronization unit 144 intercepts video data segments corresponding to a preset time range in the video data according to the preset time range, for example, the time point of the occurrence of the abnormality is 17: 45 to 17. Similarly, intercepting a running work data segment corresponding to a preset time range in the running work data, for example, the time point of occurrence of an abnormality is 17: 45 to 17. And the time information corresponding to the intercepted video data and the operation working data, namely the time identification, is utilized to carry out synchronous fusion, namely, 16:45 to 17, 15 and 16:45 to 17, so that synchronous data of the video data and the operating working data can be obtained, and fault analysis is performed in a targeted manner by combining the operating state of the equipment during fault analysis, thereby improving the analysis efficiency.
Optionally, the storage module includes a first storage unit and a second storage unit;
the first storage unit is used for caching video data and operation working data when the operation state is normal;
the second storage unit is used for storing the synchronous data when the running state is abnormal.
Specifically, the function partitioning is performed on the storage module, the first storage unit caches the video data and the running working data when the running state is normal, the cache covering time can be set, and the cache data is automatically deleted or covered after a certain time, so that the storage pressure can be reduced. When the second storage unit stores the abnormal running state, the second storage unit is used for storing the synchronous data generated by the capture module, and the storage data can be directly read from the second storage unit by connecting an external reading device. And the storage partition is utilized, so that the required data can be distinguished and acquired conveniently, and the data extraction efficiency is improved.
Optionally, the device condition capturing system further includes an image processing module, and the image processing module is connected between the storage module and the capturing module; the image processing module is used for caching the video data to a first storage unit at a first resolution ratio when the running state is normal;
the image processing unit is also used for caching the video data to a second storage unit at a second resolution ratio when the running state is abnormal; wherein the first resolution is less than the second resolution.
Specifically, when the running state is normal, the image processing module compresses the video data, the resolution of the video data stored in the first storage unit is small, the occupied storage space is small, longer video data can be stored, the normal data in a longer period can be stored, and the video data can be conveniently checked back and traced back. When the running state is abnormal, the image processing module does not process the video data or improve the image quality of the video data, the second resolution of the video data stored in the second storage unit is higher than the first resolution, the video data with the abnormal state can be stored more clearly, the abnormal state can be traced conveniently, and therefore the analysis efficiency is improved.
For example, the resolution of the first resolution and the second resolution may also be adjusted according to the user's usage and hardware performance, e.g., the first resolution and the second resolution are the same. Therefore, the method is more suitable for the actual situation of use and improves the flexibility of video data capture.
Optionally, the camera module 120 includes at least one of an industrial camera, a high-speed camera, and a USB camera.
Specifically, the camera module 120 may be one or a combination of multiple types of industrial cameras, high-speed cameras with high frame rates, plug-and-play USB cameras, and the like, and when the device to be tested 150 is abnormal and failure backtracks, it is possible to backtrack a slow-motion image in which a failure occurs, accurately restore details of the device when the device is abnormal, realize accurate capture and slow backtracking of device operation details, and improve the capabilities of detection of slight abnormality, analysis of failure, and troubleshooting.
Optionally, the capture module 140 and the data module 110 communicate with each other through OPC-UA.
Specifically, OPC UA (OPC united Architecture, OPC UA) is a time-sensitive network technology based on an OPC Unified Architecture, and by using OPC UA communication, communication mechanisms and data interaction formats of various controllers can be Unified to realize standardized data interaction, thereby safely performing high-reliability data exchange, and OPC-UA communication is used between the capture module 140 and the data module 110, so that the capture module 140 can be adapted to other types of devices 150 to be tested to realize interactive communication between operating data and the capture module 140.
Fig. 3 is a schematic flow chart of an apparatus condition capturing method according to an embodiment of the present invention, and referring to fig. 3, the method may be performed by an apparatus condition capturing system, and the apparatus may be implemented by hardware and/or software. The method specifically comprises the following steps:
s110, acquiring operation working data of the equipment to be tested;
the operation working data is internal parameter variation and corresponding time information of the equipment to be tested, for example, the internal parameters include parameters such as height and speed of mechanical movement of the equipment to be tested; electrical parameters such as voltage, current and power. The time information is the time corresponding to the device under test on the same time axis, for example, a standard 24-hour time axis in one day is used to record the corresponding point and point when each internal parameter changes.
S120, controlling a camera module to acquire video data of the equipment to be tested in real time;
specifically, the camera module is used for acquiring video data, the camera module may perform view range setting according to specific working conditions, for example, monitoring a specific position of the device to be detected, performing target tracking on the specific position, or performing overall monitoring on the device to be detected to realize overall state detection, and the camera module performs real-time monitoring on the device to be detected through parameter configuration to obtain video data of the device to be detected in real time.
S130, detecting the running state of the equipment to be detected according to the video data; when the running state is abnormal, synchronizing the video data within a preset time range with the running working data to obtain synchronous data;
specifically, video data shot by the camera module 120 is preprocessed based on a visual monitoring algorithm, wherein the detection mode of the capture module 140 includes a motion detection mode and a target tracking mode, the motion detection mode is to detect whether a picture in a region moves or stagnates, the camera module 120 captures a specific region, the capture module 140 extracts characteristic information of the specific region to perform motion detection on the specific region, that is, whether an object moves in the specific region is judged, if the stagnation time exceeds a preset time, a device is blocked, an emergency stop and the like are abnormal in operation state, and video data and operation work data in a preset time range before and after the abnormal time are matched and synchronized and stored.
The target tracking mode is to detect the movement of a moving target, such as an air cylinder moving up and down. The camera module 120 captures a moving target, the capture module 140 compresses and adjusts video data, performs processing such as noise removal and image enhancement on the video image, extracts characteristic information of the video image, such as a track coordinate of the moving target, so as to track the moving target, if the track coordinate of the moving target exceeds a preset track coordinate, the moving target is abnormal, and matches, synchronizes and stores the video data and the running work data within a preset time range before and after abnormal time.
Therefore, the time information of the operating working data is matched with the time information of the video data, and the synchronous data in the preset time period is obtained. The synchronous data is stored in the storage module 130, and maintenance personnel can read the synchronous data to analyze the data before and after the fault point time, so that the fault removal efficiency is improved, the debugging time is saved, and the equipment development efficiency is improved.
For example, the motion detection mode and the target tracking mode may be operated independently, and may be adjusted according to the detected application condition, for example, the motion detection mode may be selected for macro monitoring of a large-scale device, and the target tracking mode may be selected for monitoring details inside the device, for example, a clamping jaw or an air cylinder inside the device may be detected. For example, the motion detection mode and the target tracking mode may be self-resuming. That is to say, equipment operating mode capture system keeps operating, and after the equipment is detected unusually, the data can be moved once more after saving and carry out anomaly detection, need not to restart the duplicate setting.
And S140, storing the synchronous data.
Specifically, the synchronous data are stored in the storage space, and maintenance personnel can read the synchronous data to analyze the data before and after the fault point time, so that the fault removal efficiency is improved, the debugging time is saved, and the equipment development efficiency is improved.
Optionally, detecting the running state of the device to be tested according to the video data; when the running state is abnormal, synchronizing the video data within the preset time range with the running working data to obtain synchronous data, wherein the method comprises the following steps:
acquiring corresponding time when the running state is abnormal;
determining a preset time range according to the time;
intercepting video data and operation working data within a preset time range;
and synchronizing the video data and the operating data according to the time identifications of the video data and the operating data to obtain synchronous data.
Specifically, when the running state is abnormal, the time point when the abnormality occurs can be obtained according to the video data corresponding to the abnormal running state. Wherein the time information of the video data and the time information of the operating data are applied in the same time axis, for example, in a standard 24-hour time axis in a day, a specific time point of the abnormality can be determined according to the video data. According to the time point of the occurrence of the abnormality, a preset time range including the time point may be determined, for example, the time point of the occurrence of the abnormality is 17 00, the processing unit preset time range is 15 minutes before the time point of the occurrence of the abnormality, and 15 minutes after the time point of the occurrence of the abnormality, and then the determined preset time range is 16:45 to 17.
Intercepting a video data segment corresponding to a preset time range in video data according to the preset time range, wherein for example, the time point of an abnormality is 17: 45 to 17. Similarly, intercepting a running work data segment corresponding to a preset time range in the running work data, for example, the time point of occurrence of an abnormality is 17: 45 to 17.
And then, synchronously fusing the time information, namely the time identification, corresponding to the intercepted video data and the operation working data, namely, 16:45 to 17, 15 and 16:45 to 17, the operation working data of the time period corresponding to the time period of 15 are synchronously fused, so that the synchronous data of the video data and the operation working data can be obtained, and during fault analysis, fault analysis is performed in a targeted manner by combining the operation state of the equipment, so that the analysis efficiency is improved.
Optionally, storing the synchronization data includes:
when the running state is normal, the video data is cached to a first storage unit according to a first resolution;
when the running state is abnormal, the video data is cached to a second storage unit at a second resolution; wherein the first resolution is less than the second resolution.
Specifically, when the running state is normal, the video data is compressed, the resolution of the video data stored in the first storage unit is small, the occupied storage space is small, longer video data can be stored, the normal data in a longer period can be stored, and the backtracking and the searching are facilitated. When the running state is abnormal, the original image quality of the video data can be kept, or the image quality of the video data is improved, the second resolution of the video data stored in the second storage unit is higher than the first resolution, the video data with the abnormal state can be stored more clearly, the abnormal state can be traced conveniently, and therefore the analysis efficiency is improved.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. An equipment condition capture system, comprising: the device comprises a data module, a camera module, a storage module and a capture module;
the data module is used for acquiring the operation working data of the equipment to be tested;
the capture module is connected with the camera module; the capturing module is used for controlling the camera module to acquire video data of the equipment to be tested in real time;
the capture module is also connected with the data module; the capturing module is also used for detecting the running state of the equipment to be detected according to the video data acquired by the camera module; when the running state is abnormal, the capture module synchronizes the video data within a preset time range with the running work data detected by the data module to obtain synchronous data; the storage module is connected with the capture module; the storage module is used for storing the synchronous data.
2. The equipment condition capture system of claim 1, wherein: the capturing module comprises a camera control unit and a video detection unit;
the camera control unit is connected with the camera module; the camera control unit is used for debugging and controlling the camera module to acquire the video data of the equipment to be tested in real time;
the video detection unit is connected with the camera control unit; the video detection unit is used for detecting a target behavior of the video data, and if the target behavior is different from a preset behavior, the video detection unit judges that the running state is abnormal.
3. The equipment condition capture system of claim 2, wherein: the capture module further comprises: an acquisition unit and a synchronization unit;
the acquisition unit is connected with the video detection unit; the acquisition unit is used for acquiring the corresponding time when the running state is abnormal and determining the preset time range according to the time;
the synchronization unit is connected with the acquisition unit; the synchronization unit is used for intercepting the video data and the operation working data within the preset time range, and synchronizing the video data and the operation working data according to the time marks of the video data and the operation working data to obtain synchronization data.
4. The equipment condition capture system of claim 1, wherein: the storage module comprises a first storage unit and a second storage unit;
the first storage unit is used for caching the video data and the operation working data when the operation state is normal;
the second storage unit is used for storing the synchronous data when the running state is abnormal.
5. The equipment condition capture system of claim 4, wherein: the image processing module is connected between the storage module and the capturing module; the image processing module is used for caching the video data to the first storage unit at a first resolution ratio when the running state is normal;
the image processing unit is also used for caching the video data to the second storage unit at a second resolution ratio when the running state is abnormal; wherein the first resolution is less than the second resolution.
6. The device condition capture system of claim 1, wherein the camera module comprises at least one of an industrial camera, a high-speed camera, and a USB camera.
7. The device condition capturing system according to claim 1, wherein the capturing module and the data module use OPC-UA communication.
8. An equipment working condition capturing method is characterized by comprising the following steps:
acquiring operation working data of equipment to be tested;
controlling a camera module to acquire video data of the equipment to be tested in real time;
detecting the running state of the equipment to be detected according to the video data; when the running state is abnormal, synchronizing the video data and the running working data within a preset time range to obtain synchronous data;
and storing the synchronous data.
9. The equipment working condition capturing method according to claim 8, characterized by detecting the running state of the equipment to be tested according to the video data; when the running state is abnormal, synchronizing the video data and the running working data within a preset time range to obtain synchronous data, wherein the synchronizing data comprises:
acquiring corresponding time when the running state is abnormal;
determining the preset time range according to the time;
intercepting the video data and the operation working data within the preset time range;
and synchronizing the video data and the operation working data according to the time identifications of the video data and the operation working data to obtain synchronous data.
10. The equipment condition capture method of claim 8, wherein storing the synchronization data comprises:
when the running state is normal, caching the video data to a first storage unit at a first resolution;
when the running state is abnormal, caching the video data to a second storage unit at a second resolution; wherein the first resolution is less than the second resolution.
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| CN202211413790.7A CN115914575A (en) | 2022-11-11 | 2022-11-11 | Equipment working condition capturing system and method |
| PCT/CN2023/126355 WO2024099071A1 (en) | 2022-11-11 | 2023-10-25 | Device working condition capturing system and method |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211413790.7A CN115914575A (en) | 2022-11-11 | 2022-11-11 | Equipment working condition capturing system and method |
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| WO (1) | WO2024099071A1 (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2024099071A1 (en) * | 2022-11-11 | 2024-05-16 | 菲尼克斯(南京)智能制造技术工程有限公司 | Device working condition capturing system and method |
| CN119168494A (en) * | 2024-11-20 | 2024-12-20 | 江西省交通工程集团有限公司 | Asphalt pavement engineering quality control platform and method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| JP6631619B2 (en) * | 2015-03-27 | 2020-01-15 | 日本電気株式会社 | Video monitoring system and video monitoring method |
| CN110765991B (en) * | 2019-09-18 | 2022-08-05 | 南京航空航天大学 | A vision-based real-time detection system for high-speed rotating motor fuses |
| CN113947754A (en) * | 2021-10-15 | 2022-01-18 | 大连海事大学 | A vision-based monitoring method, system and storage medium for ship machinery running state |
| CN113918376B (en) * | 2021-12-14 | 2022-03-04 | 湖南天云软件技术有限公司 | Fault detection method, device, equipment and computer readable storage medium |
| CN114865793A (en) * | 2022-06-01 | 2022-08-05 | 沈强 | Substation equipment intelligent management system and method based on big data |
| CN115914575A (en) * | 2022-11-11 | 2023-04-04 | 菲尼克斯(南京)智能制造技术工程有限公司 | Equipment working condition capturing system and method |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2024099071A1 (en) * | 2022-11-11 | 2024-05-16 | 菲尼克斯(南京)智能制造技术工程有限公司 | Device working condition capturing system and method |
| CN119168494A (en) * | 2024-11-20 | 2024-12-20 | 江西省交通工程集团有限公司 | Asphalt pavement engineering quality control platform and method |
| CN119168494B (en) * | 2024-11-20 | 2025-03-11 | 江西省交通工程集团有限公司 | Asphalt pavement engineering quality control platform and method |
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Inventor after: Ni Jianjun Inventor after: Jin Yuchen Inventor after: Wu Lili Inventor after: Guo Zhuang Inventor after: Gong Yu Inventor after: Pan Hongxiang Inventor after: Yang Yong Inventor before: Jin Yuchen Inventor before: Ni Jianjun Inventor before: Wu Lili Inventor before: Guo Zhuang Inventor before: Gong Yu Inventor before: Pan Hongxiang Inventor before: Yang Yong |