CN210072874U - Facility hidden danger monitoring and alarming device - Google Patents
Facility hidden danger monitoring and alarming device Download PDFInfo
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- CN210072874U CN210072874U CN201920977059.4U CN201920977059U CN210072874U CN 210072874 U CN210072874 U CN 210072874U CN 201920977059 U CN201920977059 U CN 201920977059U CN 210072874 U CN210072874 U CN 210072874U
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Abstract
The utility model discloses a facility hidden danger monitoring alarm device, include: the infrared image information acquisition module comprises an infrared lens, an infrared image sensor, an ADC acquisition circuit and an FPGA circuit which are sequentially connected, and is used for forming and outputting an image of a facility to be monitored; the infrared image processing module comprises an image processor, the image processor is connected with the infrared image sensor and the FPGA circuit and is used for processing the input image of the facility to be monitored and outputting the image after marking the temperature maximum area; and the alarm module comprises a multi-level alarm submodule which is connected with the image processor and used for carrying out alarm of different levels through the alarm submodule of the corresponding level according to the grading early warning information output by the image processor. The utility model discloses can monitor the key position operational aspect of facility, monitor the facility potential safety hazard condition in real time automatically, in real time, can conveniently realize timely discovery and the early warning to the facility potential safety hazard intelligently.
Description
Technical Field
The utility model relates to an intelligent monitoring technical field, more specifically relates to a facility hidden danger real-time supervision alarm device based on AI artificial intelligence and infrared image sensor.
Background
In recent years, playground facilities and the number of visitors are increasing year by year, and the potential safety hazard is worried by the public. The consequences of accidents occurring in amusement park facilities are very serious, and the reasons for these accidents are mostly that the potential safety hazards are not dealt with in time, such as equipment loosening, aging of bearings over time, corrosion of parts, aging of wires, and the like.
At present, the fault monitoring means is single, mainly a mode of regular manual observation is adopted, the hidden danger monitoring is not timely enough, the real-time performance is poor, most of the hidden dangers are changed into faults by the hidden dangers during discovery, and risks exist when the benefits are influenced. Moreover, the manual inspection has subjectivity, so that the possibility of judgment error and work absence exists, and the efficiency and the accuracy are low.
Along with the rapid development and continuous progress of AI artificial intelligence technology and domestic infrared image sensors, an intelligent amusement park facility fault monitoring system can be designed, so that the amusement park facility fault monitoring is more efficient, simplified and intelligent, a good guiding effect is provided for daily maintenance of amusement parks, the maintenance quality can be improved, potential safety hazards can be eliminated, and the accident probability can be greatly reduced.
SUMMERY OF THE UTILITY MODEL
An object of the utility model is to overcome the above-mentioned defect that prior art exists, provide a facility hidden danger monitoring alarm device.
In order to achieve the above purpose, the technical scheme of the utility model is as follows:
a monitoring and alarming device for hidden danger of facilities comprises:
the infrared image information acquisition module comprises an infrared lens, an infrared image sensor, an ADC acquisition circuit and an FPGA circuit which are sequentially connected, and is used for forming and outputting an image of a facility to be monitored;
the infrared image processing module comprises an image processor, the image processor is connected with the infrared image sensor and the FPGA circuit and is used for processing the input image of the facility to be monitored and outputting the image after marking a temperature maximum area;
and the alarm module comprises a multi-level alarm submodule which is connected with the image processor and used for carrying out alarm of different levels through the alarm submodule of the corresponding level according to the grading early warning information output by the image processor.
Further, the image processor performs pseudo color processing on the image of the facility to be monitored, and distinguishes areas with high and low temperature according to the brightness, namely the brighter the pseudo color image is, the higher the temperature of the current area is represented; the darker the pseudo-color image is, the lower the temperature of the current area is represented; and marking a temperature maximum value area in the image of the facility to be monitored, and sending early warning information to the alarm submodule of the corresponding level according to the level of the hidden danger degree when the temperature of the temperature maximum value area is monitored to be higher than a threshold value.
Further, the grades of the hidden danger degrees comprise mild hidden danger, moderate hidden danger and severe hidden danger, and the early warning information correspondingly comprises mild early warning information, moderate early warning information and severe early warning information; the alarm sub-modules comprise a first-stage alarm sub-module, a second-stage alarm sub-module and a third-stage alarm sub-module which are respectively used for receiving the mild early warning information, the moderate early warning information and the severe early warning information which are transmitted by the image processor.
Further, the first-level alarm submodule transmits the light early-warning information to a safety responsible person for alarming through a communication circuit, wherein the light early-warning information comprises information of an image of the facility to be monitored, which is marked with a temperature maximum value area; the second-stage alarm submodule broadcasts early warning information through a voice circuit and a loudspeaker to give an alarm; and the third-level alarm submodule closes the main switch of the power supply of the equipment through the cut-off switch circuit to alarm.
Further, the communication circuit comprises a GPRS circuit, a WIFI circuit, a 4G circuit or a 5G circuit.
Further, still including the analysis module of comparing, the analysis module of comparing includes cloud ware, image processor will be marked with the regional image of waiting to monitor the facility of temperature maximum through GPRS, WIFI, 4G or 5G circuit and reach among the cloud ware, cloud ware high in the clouds storage waits to monitor the pseudo-color image's of facility machine learning model, wait to monitor the facility image, carry out analysis, comparison at the high in the clouds to return hidden danger degree result for image processor.
Furthermore, the image processor caches the image of the facility to be monitored in real time through the DDR circuit and transmits the image to the cloud server through the GPRS, WIFI, 4G or 5G circuit.
Further, a manager manages and accesses the cloud server through an APP or a PC.
Further, the device also comprises a fixing module used for fixing the facility hidden danger monitoring and alarming device.
Further, the fixed module comprises a cradle head and a mechanical arm which are connected; the mechanical arm is controlled by the image processor to move in three dimensions to realize the automatic focusing function of the infrared image information acquisition module, the holder is used for fixing the infrared image information acquisition module and the infrared image processing module, and the holder is controlled by the image processor to realize fine adjustment of angles and prevent shaking during shooting.
The utility model provides a facility trouble real-time monitoring system based on AI artificial intelligence and infrared image sensor to replace traditional artifical monitoring mode, can monitor the key position operational aspect of facility automatically, in real time, monitor the facility potential safety hazard condition in real time, can conveniently realize timely discovery and the early warning to the facility hidden danger intelligently. The utility model discloses can be applied to and monitor the facility potential safety hazard of recreation ground etc..
Drawings
Fig. 1 is a schematic structural view of a device for monitoring and alarming hidden dangers in a preferred embodiment of the present invention.
Detailed Description
The following describes the present invention in further detail with reference to the accompanying drawings.
In the following detailed description of the embodiments of the present invention, for the sake of clarity of the structure of the present invention, it is to be understood that the structure shown in the drawings is not drawn to scale, and is partially enlarged, deformed and simplified, and therefore the present invention is not limited thereto.
In the following description of the present invention, please refer to fig. 1, in which fig. 1 is a schematic structural diagram of a device for monitoring and alarming hidden dangers of a facility according to a preferred embodiment of the present invention. As shown in fig. 1, the utility model discloses a hidden danger monitoring and alarming device for facilities can be applied to monitoring the hidden danger of facilities such as amusement parks. The facility hidden danger monitoring and alarming device can comprise: the system comprises an infrared image information acquisition module, an infrared image processing module, an analysis and comparison module, an alarm module, a fixing module and the like.
Please refer to fig. 1. The infrared image information acquisition module can be provided with an infrared lens, an infrared image sensor, an ADC acquisition circuit and an FPGA circuit which are sequentially connected. The infrared image sensor may be provided with an infrared focal plane array. The infrared image information acquisition module is used for forming and outputting an image of the facility to be monitored.
The infrared image processing module mainly comprises an image processor; the infrared image sensor and the FPGA circuit are also respectively connected with the image processor. The image processor is used for processing the images of the facilities to be monitored, which are output by the infrared image information acquisition module, and outputting the images after marking the temperature maximum area.
The infrared lens is arranged facing the facility to be monitored, and can transmit an infrared light signal of the facility to be monitored to the infrared image sensor. The infrared image sensor is configured by the image processor, and converts the infrared light signal of the facility to be monitored into an electric analog signal after working and transmits the electric analog signal to the ADC acquisition circuit. The ADC acquisition circuit acquires an electric analog signal, converts the electric analog signal into a parallel digital image signal and transmits the parallel digital image signal to the FPGA circuit. And the FPGA circuit carries out splicing processing on the parallel digital image signals to obtain a whole image and transmits the whole image to the image processor. The image processor controls the infrared image sensor and receives information sent by the FPGA circuit.
Please refer to fig. 1. The alarm module comprises a multi-stage alarm submodule; the alarm sub-modules are connected with the image processor and used for carrying out different levels of alarm through the alarm sub-modules of corresponding levels according to the grading early warning information output by the image processor.
The image processor performs pseudo-color processing on the image of the facility to be monitored, and distinguishes areas with high and low temperatures according to the brightness. The areas with higher temperature are processed into partial bright colors, and the areas with normal temperature are processed into partial dark colors, namely, the brighter the pseudo color image is, the higher the temperature of the current area is; the darker the pseudo-color image, the lower the temperature of the current region. Meanwhile, a region with the maximum temperature value is marked in the image of the facility to be monitored, the image is cached by the DDR circuit in real time, and the image is transmitted to a cloud server arranged in the analysis comparison module through a GPRS, WIFI, 4G or 5G circuit and the like. The manager can manage and access the server in the APP or PC.
When the temperature of the temperature maximum value area in the image of the facility to be monitored is monitored to be higher than a threshold value, for example, when a bearing of a certain amusement facility is aged and worn seriously for a long time, the bearing is damaged due to abnormal temperature or a fire risk due to aging of an electric line occurs, and the like, the early warning information of different grades is sent to the alarm sub-modules of corresponding grades according to the light and heavy grades of the hidden danger degree.
For example, the level of risk may include mild, moderate, and severe risk; the early warning information correspondence may include mild early warning information, moderate early warning information, and severe early warning information. The alarm sub-modules can be arranged to comprise a first-level alarm sub-module, a second-level alarm sub-module and a third-level alarm sub-module; the first-stage alarm submodule, the second-stage alarm submodule and the third-stage alarm submodule are respectively used for receiving mild early-warning information, moderate early-warning information and severe early-warning information transmitted by the image processor.
For example, when slight hidden danger occurs, the image processor can correspondingly send the slight early warning information to the first-stage alarm submodule; the mild warning information may include information of an image of the facility to be monitored marked with a temperature maximum region. The first-level alarm submodule can transmit mild early warning information to a safety responsible person for alarming through communication circuits such as GPRS, WIFI, 4G or 5G.
When moderate hidden danger occurs, the image processor can correspondingly send moderate early warning information to the second-stage alarm submodule; the second-level alarm submodule can broadcast the early warning information through the voice circuit and the loudspeaker to give an alarm, remind workers and tourists of paying attention to safety, and take measures in time.
When serious hidden danger occurs, the third-level alarm submodule can close the main switch of the equipment power supply of the facility to be monitored through the cut-off switch circuit to alarm.
Please continue to refer to fig. 1. The image processor can transmit the image of the facility to be monitored marked with the temperature maximum value area to the cloud server through GPRS, WIFI, 4G or 5G circuits and the like; the cloud server can store the machine learning model of the image processor and the image of the facility to be monitored in a cloud state, analyze and compare data image information in the cloud state, and return a hidden danger degree result to the image processor.
Please refer to fig. 1. The fixed module is used for fixing the facility hidden danger monitoring and alarming device. The fixed module comprises a holder and a mechanical arm, wherein the holder is arranged on the mechanical arm and can move under the driving of the mechanical arm to drive the infrared image information acquisition module and the infrared image processing module loaded on the holder to move.
The mechanical arm moves in three dimensions under the control of the image processor, can move freely, and achieves the automatic focusing function of the infrared image information acquisition module. The holder is used for fixing the infrared image information acquisition module and the infrared image processing module, and the holder can realize fine adjustment of the angle under the control of the image processor, so that fine adjustment of the angle of the lens is realized, and meanwhile, shaking can be prevented from being generated during shooting.
To sum up, the utility model provides a facility trouble real-time supervision system based on AI artificial intelligence and infrared image sensor to replace traditional artifical monitoring mode, can monitor the key position operational aspect of facility, monitor the facility potential safety hazard condition in real time automatically, in real time, can conveniently realize timely discovery and the early warning to the facility hidden danger intelligently. The utility model discloses can be applied to and monitor the facility potential safety hazard of recreation ground etc..
The above is only the preferred embodiment of the present invention, and the embodiments are not intended to limit the protection scope of the present invention, so that all the structural equivalents made by the contents of the specification and the drawings of the present invention can be used, and the same principle should be included in the protection scope of the present invention.
Claims (10)
1. The utility model provides a facility hidden danger monitoring alarm device which characterized in that includes:
the infrared image information acquisition module comprises an infrared lens, an infrared image sensor, an ADC acquisition circuit and an FPGA circuit which are sequentially connected, and is used for forming and outputting an image of a facility to be monitored;
the infrared image processing module comprises an image processor, the image processor is connected with the infrared image sensor and the FPGA circuit and is used for processing the input image of the facility to be monitored and outputting the image after marking a temperature maximum area;
and the alarm module comprises a multi-level alarm submodule which is connected with the image processor and used for carrying out alarm of different levels through the alarm submodule of the corresponding level according to the grading early warning information output by the image processor.
2. The device for monitoring and alarming hidden danger of facilities according to claim 1, wherein the image processor performs pseudo-color processing on the image of the facility to be monitored to distinguish areas with high and low temperatures according to the brightness, namely the brighter the pseudo-color image is, the higher the temperature of the current area is represented; the darker the pseudo-color image is, the lower the temperature of the current area is represented; and marking a temperature maximum value area in the image of the facility to be monitored, and sending early warning information to the alarm submodule of the corresponding level according to the level of the hidden danger degree when the temperature of the temperature maximum value area is monitored to be higher than a threshold value.
3. The facility hidden danger monitoring and alarming device according to claim 2, wherein the grades of the hidden danger degrees comprise mild hidden danger, moderate hidden danger and severe hidden danger, and the early warning information correspondingly comprises mild early warning information, moderate early warning information and severe early warning information; the alarm sub-modules comprise a first-stage alarm sub-module, a second-stage alarm sub-module and a third-stage alarm sub-module which are respectively used for receiving the mild early warning information, the moderate early warning information and the severe early warning information which are transmitted by the image processor.
4. The monitoring and alarming device for the hidden danger of the facility is characterized in that the first-level alarming submodule transmits the light early-warning information to a safety responsible person for alarming through a communication circuit, and the light early-warning information comprises information of an image of the facility to be monitored, which is marked with a temperature maximum value area; the second-stage alarm submodule broadcasts early warning information through a voice circuit and a loudspeaker to give an alarm; and the third-level alarm submodule closes the main switch of the power supply of the equipment through the cut-off switch circuit to alarm.
5. The facility hazard monitoring and warning device of claim 4, wherein the communication circuit comprises a GPRS, WIFI, 4G or 5G circuit.
6. The device for monitoring and alarming hidden danger in facility according to claim 1, further comprising an analysis and comparison module, wherein the analysis and comparison module comprises a cloud server, the image processor transmits the image of the facility to be monitored, which is marked with the temperature maximum value area, to the cloud server through a GPRS, WIFI, 4G or 5G circuit, the cloud server stores a machine learning model of a pseudo-color image of the facility to be monitored and the image of the facility to be monitored at the cloud end, the machine learning model and the image of the facility to be monitored are analyzed and compared at the cloud end, and a hidden danger degree result is returned to the image processor.
7. The device for monitoring and alarming hidden danger in facility according to claim 6, wherein the image processor caches the image of the facility to be monitored in real time through a DDR circuit and transmits the image to the cloud server through a GPRS, WIFI, 4G or 5G circuit.
8. The facility potential hazard monitoring and alarming device as claimed in claim 6, wherein a manager manages and accesses the cloud server through an APP or a PC.
9. The device for monitoring and alarming hidden danger of facilities according to claim 1, further comprising a fixing module for fixing the device for monitoring and alarming hidden danger of facilities.
10. The monitoring and alarming device for the hidden danger of the facility is characterized in that the fixed module comprises a cradle head and a mechanical arm which are connected; the mechanical arm is controlled by the image processor to move in three dimensions to realize the automatic focusing function of the infrared image information acquisition module, the holder is used for fixing the infrared image information acquisition module and the infrared image processing module, and the holder is controlled by the image processor to realize fine adjustment of angles and prevent shaking during shooting.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201920977059.4U CN210072874U (en) | 2019-06-26 | 2019-06-26 | Facility hidden danger monitoring and alarming device |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201920977059.4U CN210072874U (en) | 2019-06-26 | 2019-06-26 | Facility hidden danger monitoring and alarming device |
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| CN210072874U true CN210072874U (en) | 2020-02-14 |
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| CN201920977059.4U Active CN210072874U (en) | 2019-06-26 | 2019-06-26 | Facility hidden danger monitoring and alarming device |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112686577A (en) * | 2021-01-29 | 2021-04-20 | 广东省特种设备检测研究院（广东省特种设备事故调查中心） | Device and method for monitoring risk potential of large-scale amusement facility |
| CN115439805A (en) * | 2022-08-30 | 2022-12-06 | 中国标准化研究院 | Method and system for calculating risk intensity of large-scale amusement facility |
-
2019
- 2019-06-26 CN CN201920977059.4U patent/CN210072874U/en active Active
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112686577A (en) * | 2021-01-29 | 2021-04-20 | 广东省特种设备检测研究院（广东省特种设备事故调查中心） | Device and method for monitoring risk potential of large-scale amusement facility |
| CN115439805A (en) * | 2022-08-30 | 2022-12-06 | 中国标准化研究院 | Method and system for calculating risk intensity of large-scale amusement facility |
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