CN219658146U - Behavior supervision device - Google Patents

Behavior supervision device Download PDF

Info

Publication number
CN219658146U
CN219658146U CN202222181045.6U CN202222181045U CN219658146U CN 219658146 U CN219658146 U CN 219658146U CN 202222181045 U CN202222181045 U CN 202222181045U CN 219658146 U CN219658146 U CN 219658146U
Authority
CN
China
Prior art keywords
module
alarm
processor
data
rk3399pro
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202222181045.6U
Other languages
Chinese (zh)
Inventor
吴忠
周光乐
胡锋光
郑俊
孙佳俊
杨洋
邱凌云
蒋波
黄梦迪
周律
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Quzhou Guangming Electric Power Investment Group Co ltd Futeng Technology Branch
Quzhou Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
Original Assignee
Quzhou Guangming Electric Power Investment Group Co ltd Futeng Technology Branch
Quzhou Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Quzhou Guangming Electric Power Investment Group Co ltd Futeng Technology Branch, Quzhou Power Supply Co of State Grid Zhejiang Electric Power Co Ltd filed Critical Quzhou Guangming Electric Power Investment Group Co ltd Futeng Technology Branch
Priority to CN202222181045.6U priority Critical patent/CN219658146U/en
Application granted granted Critical
Publication of CN219658146U publication Critical patent/CN219658146U/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Alarm Systems (AREA)

Abstract

The utility model relates to the technical field of video analysis, and provides a behavior supervision device which comprises a power supply module, and a communication module, a data forwarding module, a data analysis module, an alarm module and a positioning module which are respectively connected with the power supply module; the data forwarding module is respectively connected with the communication module and the data analysis module, and the data analysis module is connected with the positioning module. The utility model does not need to use a video camera with a network transmission function, thereby reducing the use cost; after the video data are collected at the operation site, the video data are immediately identified and analyzed, the original video is not required to be transmitted to a central server for identification and analysis, redundant information generated in the network transmission process of the original video is effectively avoided, and the requirement on network stability is reduced; the system can carry out audible and visual alarm reminding on illegal behaviors offline, prompt on-site construction operators to correct timely, and monitor personnel are not required to remotely supervise the correction by telephone or other modes.

Description

Behavior supervision device
Technical Field
The utility model relates to the technical field of video analysis, in particular to a behavior supervision device.
Background
At present, safety accidents still frequently occur in various construction sites, such as accidents of explosion, fire, personal injury and death of construction operators and the like, and one of reasons for the accidents is that the construction operators do not act normally, such as fire disasters are frequently caused by illegal smoking of the operators in the power construction sites, and life is threatened due to the fact that the operators wear safety helmets without regulations.
In order to avoid the occurrence of safety accidents such as fire and explosion and the like, thereby ensuring the safe production, the behaviors of operators on construction sites are required to be strictly standardized, so that management methods such as worker behavior standards and the like which are suitable for different industries and different construction sites are provided.
However, according to the prior safety accidents, even if the constraint of the related management method exists, the worker behavior is very little, which explains why the safety accidents still frequently occur in the construction site under the condition of very sound laws and regulations, so that the worker behavior is monitored and analyzed by adopting monitoring equipment based on the laws and regulations, and the actual operation behavior of the worker is effectively ensured to be normative.
In the prior art, the supervision equipment mainly comprises a ball machine installed on the scene and a server located at the cloud. The ball machine is a network camera, can shoot and obtain an original image video of field operation of an operator, sends the original image video to the server through a network, and the server performs behavior analysis processing on the original image video and judges whether the field operator performs standard operation or not. However, due to factors such as frequent fluctuation of field construction operation areas, unstable field network conditions and the like, an original image video cannot be stably transmitted back to a server, and the result obtained by performing behavior analysis processing on the original image video by the server is inaccurate, so that the conventional monitoring equipment cannot effectively monitor the behaviors of operators.
Disclosure of Invention
In order to solve the technical problems in the prior art, the main purpose of the utility model is to provide a behavior supervision device, so as to solve the problem that the behavior of operators cannot be effectively supervised due to factors such as the fluctuation of field construction operation areas, weak network conditions and the like in the prior art.
In a first aspect, the utility model provides a behavior supervision device, which comprises a power supply module, and a communication module, a data forwarding module, a data analysis module, an alarm module and a positioning module which are respectively connected with the power supply module; the data forwarding module is respectively connected with the communication module and the data analysis module, and the data analysis module is connected with the positioning module;
the power module comprises a battery and a transformer, the battery comprises a charging interface, and the power module is used for supplying power to the communication module, the data forwarding module, the data analysis module, the alarm module and the positioning module;
the data analysis module is a RK3399Pro processor, and the transformer is connected with the RK3399Pro processor through a wire;
the data forwarding module is a high-speed router, the RK3399Pro processor is connected with the high-speed router through a network cable, and the high-speed router is also connected with a plurality of cameras through a plurality of network cables;
the communication module comprises a wiring terminal and a transmission line, wherein the wiring terminal is a network port and/or an SMA joint transmission line is a signal line, and when the wiring terminal is a network port, the transmission line is a network line; when the wiring terminal is an SMA connector, the transmission line is a signal line;
the positioning module is a GPS global positioning system or a Beidou satellite navigation system and is connected with the RK3399Pro processor through a network port;
the alarm module comprises a light-operated alarm unit and/or a sound-controlled alarm unit, the light-operated alarm unit is connected with the high-speed router through a network cable, and the sound-controlled alarm unit is connected with the RK3399Pro processor through an AUX interface;
the camera is used for sending the collected video data of the construction site to the high-speed router through a network cable;
the high-speed router is used for sending the video data to the RK3399Pro processor through a network cable;
the RK3399Pro processor is used for analyzing and identifying the video data, sending alarm data to the high-speed router after the video data are identified to have illegal actions, forwarding the alarm data to the alarm module by the high-speed router, and reminding field constructors by the alarm module;
the RK3399Pro processor is also used for acquiring the position information of the place where the illegal action occurs through the positioning module.
As a further scheme of the utility model, the data analysis module is connected with the positioning module through an RS232 interface.
As a further scheme of the utility model, the RK3399Pro processor comprises a central processing unit, a nonvolatile memory unit, a volatile memory unit, a network interface unit, a universal serial bus interface unit, a high-definition audio-video interface unit, an audio interface unit and a main control board heat dissipation unit; the central processor unit is a processor based on the Arm instruction set.
As a further scheme of the utility model, the light-operated alarm unit comprises a switch and a warning lamp, the switch is connected with the warning lamp through a network cable, and the switch is a network relay.
As a further scheme of the utility model, the sound control alarm unit comprises a digital power amplifier and a loudspeaker, wherein the digital power amplifier is connected with the loudspeaker through a driving wire, and the loudspeaker is an electromagnetic loudspeaker.
Compared with the prior art, the utility model has the following beneficial effects:
(1) The behavior supervision device can conduct behavior recognition and analysis on the operators on the operation site, so that whether the operation behaviors are normal or not is judged, video data are not required to be transmitted back to a central server for recognition and analysis, the behavior supervision device is not affected by factors such as field construction operation area fluctuation and unstable on-site network conditions, and therefore effective supervision on the behaviors of the operators can be achieved under various complex working condition environments.
(2) When the behavior supervision device is used for conducting behavior supervision, a camera with a network transmission function is not required to be used, so that the cost brought by the camera is reduced.
(3) The behavior supervision device provided by the utility model immediately identifies and analyzes the video data after the video data are collected on the operation site, and the original video is not required to be transmitted to the central server for identification and analysis, so that redundant information generated in the network transmission process of the original video is effectively avoided.
(4) Under the environment with poor network conditions, the system can carry out audible and visual alarm reminding on the illegal behaviors offline, prompt on-site construction operators to correct in time, and monitor personnel are not required to remotely supervise the correction by telephone or other modes.
(5) The behavior supervision device provided by the utility model internally comprises the independently-powered power supply capable of circularly charging, adopts a low-power consumption design, and can work for more than eight hours without an external power supply, so that the behavior supervision device is convenient to carry and use in various working condition operation scenes.
These and other aspects of the utility model will be more readily apparent from the following description of the embodiments. It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the utility model as claimed.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present utility model, the following description will briefly introduce the drawings that are needed in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the present utility model. In the drawings:
FIG. 1 is a block diagram of a behavior supervision device according to an embodiment of the present utility model;
fig. 2 is a schematic diagram of a composition structure of a behavior supervision device in an embodiment of the utility model.
The achievement of the objects, functional features and advantages of the present utility model will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
Reference will now be made in detail to the present embodiments of the present utility model, examples of which are illustrated in the accompanying drawings, wherein the accompanying drawings are used to supplement the description of the written description so that one can intuitively and intuitively understand each technical feature and overall technical scheme of the present utility model, but not to limit the scope of the present utility model.
In the description of the present utility model, a number means one or more, a number means two or more, and greater than, less than, exceeding, etc. are understood to not include the present number, and above, below, within, etc. are understood to include the present number.
In the description of the present utility model, the continuous reference numerals of the method steps are used for facilitating examination and understanding, and by combining the overall technical scheme of the present utility model and the logic relationships between the steps, the implementation sequence between the steps is adjusted without affecting the technical effect achieved by the technical scheme of the present utility model.
In the description of the present utility model, unless explicitly defined otherwise, terms such as arrangement and the like should be construed broadly, and those skilled in the art can reasonably determine the specific meaning of the terms in the present utility model in combination with the specific contents of the technical scheme.
Example 1
Referring to fig. 1, an embodiment of the present utility model provides a behavior supervision apparatus, where the behavior supervision apparatus includes a power module, and a communication module, a data forwarding module, a data analysis module, an alarm module, and a positioning module that are respectively connected with the power module.
Referring to fig. 1, the data forwarding module in the embodiment of the present utility model is a high-speed router, specifically a 4G router.
The data analysis module of the embodiment of the utility model is an RK3399Pro processor. The RK3399Pro processor comprises a Central Processing Unit (CPU) unit, a nonvolatile memory unit (ROM), a volatile memory unit (RAM), a network interface unit, a Universal Serial Bus (USB) interface unit, a high-definition audio-video (HDMI) interface unit, an audio interface unit and a main control board heat dissipation unit. Wherein the Central Processing Unit (CPU) is a processor based on the Arm instruction set.
The communication module of the embodiment of the utility model comprises a wiring terminal and a transmission line. Wherein, the binding post is net gape and/or SMA connects. When the wiring terminal is a network port, the transmission line is a network line; when the wiring terminal is an SMA connector, the transmission line is a signal line. The number of the network ports is equal to the number of RK3399Pro processors.
The alarm module of the embodiment of the utility model comprises a light-operated alarm unit and/or a sound-controlled alarm unit. The light-operated alarm unit is connected with the data forwarding module through a network cable, and the sound-operated alarm unit is connected with the data analysis module through an AUX interface.
Referring to fig. 1 and 2, the light-operated alarm unit comprises a switch and a warning lamp, and the switch is connected with the warning lamp through a network cable. The switch is specifically a network relay; the sound control alarm unit comprises a digital power amplifier and a loudspeaker, wherein the digital power amplifier is connected with the loudspeaker through a driving wire, and the loudspeaker is particularly an electromagnetic loudspeaker.
The alarm module of the embodiment of the utility model is a GPS global positioning system or a Beidou satellite navigation system; the power module includes a battery including a charging interface and a transformer.
In the embodiment of the utility model, the power supply module is respectively connected with the other modules; the data forwarding module is respectively connected with the communication module and the data analysis module; the data analysis module is connected with the positioning module, and is particularly connected with the positioning module through an RS232 interface.
Example 2
Based on the foregoing embodiment 1 of the present utility model, embodiment 2 of the present utility model provides a method for implementing a behavior supervision device in supervision of an offence of "people not wearing a helmet" in a video image of a power construction site, specifically including:
in the above application scenario of embodiment 2 of the present utility model, the connection manner between the camera outside the behavior supervision device and the device includes wired connection and wireless connection, and the camera does not need to have a network transmission function, so that the cost brought by the camera is reduced.
Firstly, an RK3399Pro processor sends a video data acquisition request instruction to a camera outside the device, and the camera acquires operation video data by shooting and recording an electric power construction site after receiving the request instruction.
Then, when the external camera is in wired connection with the device, the camera transmits the collected video data to the 4G router through the network port and the network cable; when the camera is in wireless connection with the device, the camera transmits collected video data to the 4G router through the SMA connector and the signal line successively on the basis of providing communication signals for a WIFI antenna outside the device.
And secondly, the 4G router forwards the received video data to the RK3399Pro processor for management, analysis and storage, wherein the number of network ports is equal to the number of the RK3399Pro processors.
Wherein the management actions of the RK3399Pro processor include:
the user manually sets technical parameters, namely video reading frequency, for the RK3399Pro processor, the default video reading frequency is 24 frames/second, and the RK3399Pro processor reads video data according to the video reading frequency set by the user, wherein the video reading frequency is equal in interval of frames, such as: in embodiment 2 of the present utility model, the video reading frequency set by the user is 12 frames/second, and then the RK3399Pro processor needs to fetch 12 frames of image data at regular intervals in 24 frames, that is, fetch one frame of image data every interval, and fetch enough 12 frames of image data within a time span of one second, and then the RK3399Pro processor stores the fetched image data in the internal memory of the RK3399Pro processor.
The analytical behavior of the RK3399Pro processor includes:
the RK3399Pro processor reads the image data stored by it in the management action in its internal memory, transforms the size corresponding to the original definition of all images into a size adapted to the requirements of the RK3399Pro processor, which is set by the RK3399Pro processor according to the computing power of the device, the higher the computing power of the device, the larger the size set by the RK3399Pro processor. Such as: in embodiment 2 of the present utility model, the RK3399Pro processor scales the size of the original image with 1080P resolution from 1920×1080 pixels to 416×416 pixels. In addition, to simplify the scaling process, the RK3399Pro processor further performs compression processing on the scaled image, so that the value range of each pixel in the image is changed from 0 to 255 to 0 to 1, for example: the value of a certain pixel is 50, and the value of the pixel after compression conversion is 51/255=0.2, so that the value of the pixel can be directly obtained without other conversion, and the value of the pixel accounts for 20%.
Further, the RK3399Pro processor performs an equal pixel blocking process on the image after the previous compression process, for example: in this embodiment, the pixels such as the image with 416×416 pixels are divided into the image matrix with 13×13 pixels, and the size of the image matrix after division in embodiment 2 of the present utility model is 13×13 pixels, which is the empirical data, and the apparatus takes the empirical data to have the best recognition effect on the target.
Further, the RK3399Pro processor classifies the image matrix after the previous step of blocking, and specifically includes:
calculating the probability value of each pixel belonging to a certain target class in the image matrix until all the target classes in the image are traversed, namely obtaining a probability value table for each target class;
screening the probability value table according to the threshold value of the target category corresponding to the probability value table to obtain a plurality of probability values aiming at each probability value table, wherein the boundaries of the pixels corresponding to the plurality of probability values form a plurality of screening frames;
the pixels in the screening frames in the image matrix belong to the target class, or else, do not belong to the target class, so that the purpose of classifying each pixel in the image matrix is achieved, after classification is finished, each screening frame is a target, and the target class and the position of each screening frame are output.
Still further, the RK3399Pro processor calculates the distance and direction between the targets according to the specific supervision behaviors, and obtains parameters describing the target relationship: (L, a), wherein the distance l=sqrt ((x 1-x 2)/(2+ (y 1-y 2)/(2)), azimuth a=arctan (|y1-y2|/|x1-x 2|); the RK3399Pro processor matches the calculated parameters of the target relation with the parameters in a preset target relation library, and when the distance and the direction accord with L (min) < L (max), A (min) < A (max), the matching is successful, otherwise, the matching is failed; and the RK3399Pro processor judges whether the video image has illegal behaviors according to the matching result, if so, the RK3399Pro processor forwards the alarm data to the alarm module through the 4G router to alarm, and acquires the geographical position information of the place where the illegal behaviors occur. L (min) and L (max) are respectively the minimum value and the maximum value of the distance between the targets in the target relation library, and A (min) and A (max) are respectively the minimum value and the maximum value of the azimuth between the targets in the target relation library. Specifically:
in the regulation of illegal behaviors that the person does not wear the safety helmet in the video image in embodiment 2 of the utility model, the identification targets are "person", "safety helmet" and "safety helmet-no", wherein "safety helmet-no" indicates that the person does not wear the safety helmet, and is recorded as "safety helmet-no" when the person does not wear the safety helmet in the video image, and is recorded as "safety helmet-no" when the person does wear the safety helmet in the video image.
After the identification is finished, if people, safety helmet-no and safety helmet-x are identified, the fact that no illegal action that the people do not wear the safety helmet exists in the current video image is indicated; if the person, the safety helmet-no and the safety helmet are identified, the fact that the person does not wear the safety helmet is indicated to exist in the current video image, at the moment, the RK3399Pro processor forwards alarm data to the alarm module through the 4G router, the alarm module controls the light-operated alarm unit and/or the sound-controlled alarm unit to alarm when receiving the alarm data, the light-operated alarm unit starts a network relay immediately, and the network relay controls the alarm lamp to flash and alarm through a network cable; the sound control alarm unit starts a digital power amplifier through an AUX interface, and the digital power amplifier starts an electromagnetic loudspeaker to play audio alarm contents through a network cable, such as' please wear a safety helmet-! ".
Therefore, under the environment with poor network conditions, the device can carry out audible and visual alarm reminding on illegal behaviors offline, prompt on-site construction operators to correct in time, and monitor personnel are not required to remotely supervise the correction through telephone or other modes.
Therefore, the device immediately identifies and analyzes the video data after collecting the video data at the operation site, and the original video does not need to be transmitted to a central server for identification and analysis, so that redundant information generated in the network transmission process of the original video is effectively avoided.
Then, the external Beidou antenna of the device provides wireless communication signals required by positioning for the GPS global positioning system or the Beidou satellite navigation system through the SMA connector and the signal line, and the RK3399Pro processor controls the GPS global positioning system or the Beidou satellite navigation system to position the illegal action occurrence place through the RS232 interface so as to acquire geographic position information of the illegal action occurrence place, and then the GPS global positioning system or the Beidou satellite navigation system transmits the acquired geographic position information to the RK3399Pro processor through the RS232 interface.
Finally, the RK3399Pro processor forwards the result data of the video data analysis and the geographical position information of the place where the illegal action occurs to a remote central server for storage through a 4G router, a signal wire and an SMA connector on the basis that a 4G antenna outside the device provides a 4G communication signal, so that a supervisor in a monitoring room where the central server is located can review the result data of the video data analysis and the geographical position information of the place where the illegal action occurs.
Therefore, after the device is identified and analyzed, only a small amount of judgment result data and geographical position information need to be transmitted to the central server, compared with the method of transmitting the original video to the central server for identification and analysis, the device does not need to occupy too large network bandwidth, so that the requirement on network stability is reduced, and the device is not influenced by factors such as field construction operation area fluctuation, unstable field network conditions and the like.
In addition to the functions described above, the RK3399Pro processor is also responsible for carrying out program operations and for signal input/output forwarding. The RK3399Pro processor also comprises a Central Processing Unit (CPU) unit, a nonvolatile memory unit (ROM), a volatile memory unit (RAM), a network interface unit, a Universal Serial Bus (USB) interface unit, a high definition audio-video (HDMI) interface unit, an audio interface unit and a main control board heat dissipation unit. The Central Processing Unit (CPU) is a processor based on an Arm instruction set, so that the device is designed for low power consumption.
In conclusion, the device can identify and analyze the behaviors of operators on the operation site, so that whether the operation behaviors are normal or not is judged, and video data are not required to be transmitted back to a central server for identification and analysis, so that the device is not influenced by factors such as the fluctuation of a field construction operation area and the instability of the field network condition, and therefore, the effective supervision of the behaviors of the operators can be realized under various complex working condition environments.
The behavior supervision device of the embodiment 2 of the utility model also comprises a battery and a transformer, wherein the battery comprises a charging interface, can be circularly charged, and can work for more than eight hours without an external power supply, so that the behavior supervision device is convenient to carry and use in various working condition operation scenes. The rated voltage of the battery is 24V, the rated voltage of the battery is reduced to 12V by the transformer, and the power is supplied to the 4G router, the RK3399Pro processor, the network relay, the warning lamp, the loudspeaker and the GPS global positioning system/Beidou satellite navigation system; the transformer steps down 24V to 5V to power the digital power amplifier.
In summary, the behavior supervision device of the present utility model has the following advantages:
(1) The device can identify and analyze the behaviors of the operators on the operation site, so as to judge whether the operation behaviors are normal or not, and video data does not need to be transmitted back to a central server for identification and analysis, so that the device is not influenced by factors such as field construction operation area fluctuation, unstable site network conditions and the like, and can effectively monitor the behaviors of the operators under various complex working condition environments.
(2) When the device is used for supervision and behavior supervision, a camera with a network transmission function is not required to be used, so that the cost brought by the camera is reduced.
(3) The device immediately identifies and analyzes the video data after the video data are collected on the operation site, and the original video does not need to be transmitted to a central server for identification and analysis, so that redundant information generated in the network transmission process of the original video is effectively avoided, and only a small amount of judgment results and evidence data need to be transmitted to the central server after the identification and analysis are finished, so that the device does not need to occupy too large network bandwidth, and the requirement on network stability is reduced.
(4) Under the environment with poor network conditions, the system can carry out audible and visual alarm reminding on the illegal behaviors offline, prompt on-site construction operators to correct in time, and monitor personnel are not required to remotely supervise the correction by telephone or other modes.
(5) The device comprises an independently-powered power supply capable of circularly charging, adopts a low-power consumption design, can work for more than eight hours without an external power supply, and is convenient to carry and use in various working condition operation scenes.
The foregoing description is only of the preferred embodiments of the present utility model, and is not intended to limit the scope of the utility model, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.

Claims (5)

1. The behavior supervision device is characterized by comprising a power supply module, and a communication module, a data forwarding module, a data analysis module, an alarm module and a positioning module which are respectively connected with the power supply module; the data forwarding module is respectively connected with the communication module and the data analysis module, and the data analysis module is connected with the positioning module;
the power supply module comprises a battery and a transformer, the battery comprises a charging interface, and the power supply module is used for supplying power to the communication module, the data forwarding module, the data analysis module, the alarm module and the positioning module;
the data analysis module is an RK3399Pro processor, and the transformer is connected with the RK3399Pro processor through a wire;
the data forwarding module is a high-speed router, the RK3399Pro processor is connected with the high-speed router through a network cable, and the high-speed router is also connected with a plurality of cameras through a plurality of network cables;
the communication module comprises a wiring terminal and a transmission line, wherein the wiring terminal is a network port and/or an SMA connector, the transmission line is a signal line, and when the wiring terminal is a network port, the transmission line is a network line; when the wiring terminal is an SMA connector, the transmission line is a signal line;
the positioning module is a GPS global positioning system or a Beidou satellite navigation system and is connected with the RK3399Pro processor through a network port;
the alarm module comprises a light-operated alarm unit and/or a sound-controlled alarm unit, the light-operated alarm unit is connected with the high-speed router through a network cable, and the sound-controlled alarm unit is connected with the RK3399Pro processor through an AUX interface;
the camera is used for sending the collected video data of the construction site to the high-speed router through a network cable;
the high-speed router is used for sending the video data to the RK3399Pro processor through the network cable;
the RK3399Pro processor is used for analyzing and identifying the video data, sending alarm data to the high-speed router after the video data are identified to have illegal behaviors, forwarding the alarm data to the alarm module by the high-speed router, and reminding site constructors by the alarm module;
the RK3399Pro processor is also used for acquiring the position information of the place where the illegal action occurs through the positioning module.
2. The behavioral monitoring device of claim 1 wherein the data analysis module is connected to the positioning module via an RS232 interface.
3. The behavioral monitoring device of claim 1, wherein the RK3399Pro processor comprises a central processor unit, a nonvolatile memory unit, a volatile memory unit, a network interface unit, a universal serial bus interface unit, a high definition audio/video interface unit, an audio interface unit, and a main control board heat sink unit; the central processor unit is an Arm instruction set based processor.
4. The behavioral monitoring device of claim 1 wherein the light-operated alarm unit comprises a switch and an alarm light, the switch and the alarm light being connected by a network cable, the switch being a network relay.
5. The behavioral monitoring device of claim 4 wherein the voice-activated alarm unit comprises a digital power amplifier and a speaker, the digital power amplifier and the speaker being connected by a drive line, the speaker being an electromagnetic speaker.
CN202222181045.6U 2022-08-18 2022-08-18 Behavior supervision device Active CN219658146U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202222181045.6U CN219658146U (en) 2022-08-18 2022-08-18 Behavior supervision device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202222181045.6U CN219658146U (en) 2022-08-18 2022-08-18 Behavior supervision device

Publications (1)

Publication Number Publication Date
CN219658146U true CN219658146U (en) 2023-09-08

Family

ID=87858393

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202222181045.6U Active CN219658146U (en) 2022-08-18 2022-08-18 Behavior supervision device

Country Status (1)

Country Link
CN (1) CN219658146U (en)

Similar Documents

Publication Publication Date Title
CN110570536A (en) intelligent line patrol system for extra-high voltage transmission line
CN116165981A (en) Intelligent monitoring system for industrial industry safety production
CN109326125B (en) Picture quality diagnosis system and method based on embedded system
CN112671104A (en) Transformer substation multidimensional scene control platform facing complex scene
CN111343285A (en) Electric power on-line monitoring system with reinforcement learning and intelligent image recognition
CN117979159A (en) Intelligent camera system
CN112966552B (en) Routine inspection method and system based on intelligent identification
CN111738115A (en) Mobile camera automatic identification method and system based on artificial intelligence
CN110691221A (en) System for realizing intelligent video monitoring for unattended transformer substation
CN219658146U (en) Behavior supervision device
CN113858194A (en) A other robot that stands for job site auxiliary management
CN112769930A (en) Pollution trend prediction method and device, and pollution event monitoring device and equipment
CN112183251A (en) Monitoring system for weak current security engineering of Internet of things
CN112001810A (en) Intelligent forestry patrolling system and method based on machine vision
CN115082765B (en) On-site operation management method and on-site operation management system
CN211982025U (en) Linkage control monitoring system based on intelligent security
CN112804492B (en) Communication prompting method and device for electronic peepholes
CN104767969A (en) Intelligent operation safety monitoring system and method for railway crossing
CN210405509U (en) Efficient community security center
CN112218040A (en) Background monitoring device and system for high-voltage cable accessory installation
CN216772462U (en) Construction site shooting warning monitoring system
CN218939065U (en) Early warning system
CN220291730U (en) Distribution control equipment for electric power construction scene
CN115346283B (en) Image acquisition device, method and equipment for cable inspection and storage medium
CN116597381B (en) Intelligent image recognition system of transformer substation based on big data

Legal Events

Date Code Title Description
GR01 Patent grant
GR01 Patent grant