Abnormal behavior recognition equipment for highway construction supervision

By deploying abnormal behavior recognition equipment such as camera modules and control modules on the site of highway construction, the problem that traditional manual monitoring methods cannot achieve all-weather and all-round monitoring is solved, automatic abnormal behavior recognition and information storage are realized, and construction management efficiency is improved and security.

CN222281259UActive Publication Date: 2024-12-31INST OF COMM SCI YUNNAN PROV
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Patent Information

Application Number
CN202421136323.9
Authority / Receiving Office
CN · China
Patent Type
Utility models(China)
Current Assignee / Owner
Filing Date
2024-05-23
Publication Date
2024-12-31
Estimated Expiration
2034-05-23

AI Technical Summary

Technical Problem

Traditional manual monitoring methods cannot achieve all-weather and all-round monitoring in highway construction, it is difficult to detect and handle abnormal transactions in real time, it is impossible to effectively identify and handle environmental noise, and the information recording is not comprehensive, which makes it difficult to construct safety and progress management.

Method used

An abnormal behavior recognition device including a camera module, a control module, a wireless communication module, a voice recognition module, a cloud storage module and an interaction module was designed. Through the acquisition device, the construction site is monitored in real time, abnormal behavior is automatically identified and alarms are issued, and information data is stored. , facilitate comprehensive management and supervision.

Benefits of technology

It realizes all-weather and all-round real-time monitoring, automatically identify abnormal behaviors, improves management efficiency at the construction site, reduces manpower burden, and improves safety and convenience.

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Abstract

The utility model provides abnormal behavior recognition equipment for highway construction supervision, which is provided with an acquisition device and is integrated with a camera module, a control module, a wireless communication module, a voice recognition module, a cloud storage module and an interaction module. The equipment can automatically identify and report abnormal behaviors of a construction site through real-time image and sound acquisition and subsequent data analysis, and all the acquired data can be stored in the cloud storage module for subsequent examination and analysis. The equipment can perform all-around and all-weather construction site supervision, reduces the working intensity of manual inspection, improves the supervision quality and efficiency, and has remarkable effects on guaranteeing the construction safety and improving the construction efficiency.
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Description

Technical Field

[0001] The utility model belongs to the field of monitoring, and more specifically relates to an abnormal behavior recognition device used for highway construction supervision. Background Art

[0002] In the supervision of highway construction, the complex and changeable environment of the construction site, the large number of construction workers and the long time span make the supervision work extremely difficult. The traditional supervision method mainly relies on manpower, that is, supervisors or administrators check the work progress and safety conditions on site. This method not only has a large workload and low efficiency, but also makes it difficult to fully and real-time understand every corner of the construction site, and cannot respond to emergencies at any time. This greatly increases the difficulty of managing construction safety hazards and construction progress.

[0003] Disadvantages of existing technology:

[0004] 1. The traditional manual monitoring method is labor-intensive and relies on manual inspections, which cannot achieve all-weather and all-round monitoring;

[0005] 2. In a complex and ever-changing construction environment, it is difficult to discover and handle abnormal events in real time and ensure the safety of the construction process;

[0006] 3. It is unable to effectively identify and process environmental noise and abnormal sounds, and cannot provide early warning of abnormal sounds;

[0007] 4. The information records about the construction site are not comprehensive, and the data records under human management often have omissions, making it difficult to form a complete historical data backup, which is not conducive to event tracing and overall management;

[0008] 5. It is difficult for manual supervisors or managers to monitor the construction site at any time and anywhere, and the response speed is slow in emergency situations. Summary of the invention

[0009] The utility model proposes an abnormal behavior recognition device for highway construction supervision, which can effectively solve the problems existing in the prior art through a collection device and an integrated camera module, a control module, a wireless communication module, a voice recognition module, a cloud storage module, an interactive module, etc.

[0010] In order to achieve the above purpose, the utility model is implemented by adopting the following technical solutions:

[0011] An abnormal behavior recognition device for highway construction supervision, comprising:

[0012] The collection device comprises a collection box, a camera, a collection microphone and a cylinder. A hemispherical top cover is arranged on the upper part of the collection box, the camera is arranged in the top cover, at least two cylinders are arranged in the collection box, a collection microphone is arranged at the output end of the cylinder, an opening is arranged on the outer wall of the collection box corresponding to the collection microphone, and a baffle is rotatably connected to the opening;

[0013] The recognition system includes a camera module, a control module, a wireless communication module, a speech recognition module, a cloud storage module and an interaction module; the output terminals of the camera module and the speech recognition module are connected to the signal input terminal of the control module, the signal output terminal of the control module is connected to the wireless communication module, the wireless communication module is connected to the cloud storage module, and the interaction module is connected to the control module;

[0014] The camera is connected to the camera module, the collection microphone is connected to the voice recognition module, and the cylinder is connected to the control module.

[0015] In one embodiment, the acquisition device further includes a power supply, which is connected to the camera, the acquisition microphone and the cylinder.

[0016] In one solution, the power supply is powered by a lithium battery and is provided with multiple output interfaces, and the output interface is a 12V output.

[0017] In one solution, the device further includes a GSM module 7, and the control module 2 is connected to the mobile terminal via the GSM module 7, and the mobile terminal is a mobile phone.

[0018] In one solution, the wireless communication module 3 is a wifi module.

[0019] Beneficial effects of the utility model:

[0020] The utility model proposes an abnormal behavior identification device for highway construction supervision. Through the collection device placed at the construction site and the integrated camera module, control module, wireless communication module, voice recognition module, cloud storage module and interaction module, the device can monitor the construction site in real time around the clock and in all directions, automatically identify abnormal behaviors and issue alarms in a timely manner, and store various collected information data, so as to facilitate comprehensive management and supervision of the construction process. The device greatly improves the management efficiency of the construction site, reduces the manpower burden, and improves safety and convenience. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is a block diagram of the device of the utility model;

[0022] Figure 2 This is the circuit diagram of the main control module of the utility model;

[0023] Figure 3 This is the circuit diagram of the wifi module of the utility model;

[0024] Figure 4 This is the circuit diagram of the GSM module of the utility model;

[0025] Figure 5 This is the circuit diagram of the voice recognition module of the utility model;

[0026] Figure 6 This is a structural diagram of the collection device of the utility model.

[0027] In the figure, 1-camera module, 2-control module, 3-wireless communication module, 4-voice recognition module, 5-cloud storage module, 6-interaction module, 7-GSM module, 8-collection device, 81-collection box, 82-top cover, 83-camera, 84-collection microphone, 85-baffle, 86-cylinder. DETAILED DESCRIPTION

[0028] The embodiments of the present application will be described in more detail below with reference to the accompanying drawings. Although the embodiments of the present application are shown in the accompanying drawings, it should be understood that the present application can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided to make the present application more thorough and complete, and to fully convey the scope of the present application to those skilled in the art.

[0029] The equipment comprises a collection device 8 and a collection system.

[0030] like Figure 1 As shown, the acquisition system includes a camera module 1, a control module 2, a wireless communication module 3, a speech recognition module 4, a cloud storage module 5, and an interaction module 6;

[0031] The camera module 1 is connected to the camera 83, the voice recognition module 4 is connected to the collection microphone 84, the camera module 1 and the voice module output end are connected to the signal input end of the control module 2, the control module 2 signal output end is connected to the wireless communication module 3, and the wireless communication module 3 is connected to the cloud storage module 5; the interactive module 6 is connected to the control module 2, and the interactive module 6 uses an LED touch display screen for interaction with the device. The control module 2 is also connected to the cylinder 86 to further control the release and retraction of the collection microphone 84.

[0032] The cloud storage module 5 is responsible for storing all information collected by the device, including the images captured by the camera module 1 and the sounds collected by the voice recognition module 4 .

[0033] The device also includes a GSM module 7, and the control module 2 is connected to the mobile terminal via the GSM module 7, and the mobile terminal is a mobile phone. The wireless communication module 3 adopts a wifi module.

[0034] Control module 2 processes the valid information from other modules to control the scheduling and operation of the system. The system uses an ARM8 core development board based on the ARM820T core, with S3C2440A chip and 0.13µmCMOS standard macro unit and memory unit. The circuit principle is as follows Figure 2 shown.

[0035] The wireless communication module uses the ESP8266WiFi module, and its main functions include serial port transparent transmission, PWM regulation, and GPIO control. Figure 3 shown.

[0036] GSM module 7 is a functional module that integrates GSM radio frequency chip, baseband processing chip, memory, power amplifier device, etc. on a circuit board. It has an independent operating system, GSM radio frequency processing, baseband processing and provides standard interfaces, as well as functions such as sending SMS messages, voice calls, and GPRS data transmission. Use ARM to communicate with GSM module 7 through the RS232 serial port, and use standard AT commands to control GSM module 7 to achieve wireless communication functions, such as sending text messages, making calls, GPRS dial-up Internet access, etc. This system uses GPRS-GA6 module, and the circuit principle is as follows Figure 4 shown.

[0037] The voice recognition module 4 uses the LD3320 voice control chip to achieve simple voice recognition. The LD3320 chip integrates high-precision A / D and D / A interfaces, and can achieve simple voice recognition, sound control, human-computer intercom and other functions without external conversion circuits; it does not require the voice of a specific person, but only requires dynamic editing of keywords. The circuit principle of the voice recognition module 4 is as follows Figure 5 shown.

[0038] like Figure 6 The collection device 8 shown is installed at an appropriate location of the highway construction site, and is used to collect the on-site conditions and sound conditions. The collection device 8 includes a collection box 81, a camera 83, a collection microphone 84, a cylinder 86, and a power supply. Since it needs to be used outdoors, a hemispherical top cover 82 is provided on the top of the collection box 81. The top cover 82 is made of a transparent hard material. The camera 83 is arranged in the top cover 82 to shoot the construction site and the surrounding conditions. The top cover 82 effectively protects the camera 83 without affecting its use, and prevents the camera 83 from colliding and falling and being washed and corroded by rain.

[0039] The collection box 81 is provided with two collection microphones 84 for collecting sounds from various places, and the two collection microphones 84 are arranged on both sides of the collection box 81. Two cylinders 86 are arranged correspondingly in the collection box 81, and the collection microphones 84 are connected to the output ends of the cylinders 86 respectively. Openings are arranged on the outer wall of the collection box 81 corresponding to the collection microphones 84, so that the collection microphones 84 can extend out of the device through the openings, further increasing the collection direction. At the same time, the connecting baffle 85 is rotated at the opening. When the collection microphone 84 extends out, the baffle 85 rotates away from the collection box 81, and the collection box 81 opens to allow the collection microphone 84 to collect sounds. When it rains, the cylinder 86 retracts the collection microphone 84, and the baffle 85 closes automatically to prevent the microphone from malfunctioning due to rain.

[0040] The power supply is connected to the camera 83, the collection microphone 84 and the cylinder 86 for power supply. The power supply is powered by a lithium battery and is provided with multiple output interfaces. The output interface is a 12V output and is connected to the camera 83, the collection microphone 84 and the cylinder 86 respectively.

[0041] Working principle of the utility model: The image and sound information of the construction site are obtained in real time through the acquisition device 8. The camera 83 will continuously shoot the construction environment and the behavior of the workers, and the acquisition microphone 84 will acquire the sound in the site. These image and sound information are connected to the camera module 1 and the voice recognition module 4 and transmitted to the control module 2.

[0042] After receiving the information, the control module 2 will sort and analyze the data to find possible abnormal behaviors. These abnormal behaviors may include: violations of safety regulations, such as not wearing a safety helmet, working in an unprotected area, etc.; abnormal environmental changes, such as unauthorized personnel entering the construction site, sudden sound changes, etc. The existing ARM-based abnormal behavior recognition programs are all public technologies and are not the subject of protection of this utility model.

[0043] Once the control module 2 confirms that an abnormal behavior has occurred, the alarm program will be activated immediately. The control module 2 sends an alarm message to the supervisor or mobile terminal through the wireless communication module 3 or the GSM module 7. When the personnel who receive the alarm message can deal with the abnormal behavior in a timely manner to ensure the safety of the construction site.

[0044] At the same time, all image and sound information will be stored in the cloud storage module 5. In this way, even after an abnormal behavior occurs, the corresponding historical data can be consulted, which is helpful for the review and handling of the accident.

[0045] In addition, the interaction module 6 allows the device to perform simple interactions with the operator, such as displaying the working status of the device or receiving some simple instructions.

[0046] The embodiments of the present application have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or improvements to the technology in the market, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. An abnormal behavior identification device for highway construction supervision, characterized in that: The device comprises: A collection device (8), comprising a collection box (81), a camera (83), a collection microphone (84) and a cylinder (86); a hemispherical top cover (82) is arranged on the upper part of the collection box (81); the camera (83) is arranged in the top cover (82); at least two cylinders (86) are arranged in the collection box (81); a collection microphone (84) is arranged at the output end of the cylinder (86); an opening is arranged on the outer wall of the collection box (81) corresponding to the collection microphone (84); and a baffle (85) is rotatably connected to the opening; A recognition system, comprising a camera module (1), a control module (2), a wireless communication module (3), a voice recognition module (4), a cloud storage module (5) and an interaction module (6); the output ends of the camera module (1) and the voice recognition module (4) are connected to the signal input end of the control module (2), the signal output end of the control module (2) is connected to the wireless communication module (3), the wireless communication module (3) is connected to the cloud storage module (5), and the interaction module (6) is connected to the control module (2); The camera (83) is connected to the camera module (1), the collection microphone (84) is connected to the voice recognition module (4), and the cylinder (86) is connected to the control module (2).

2. The abnormal behavior identification device for highway construction supervision according to claim 1 is characterized in that: The acquisition device (8) also includes a power supply, which is connected to the camera (83), the acquisition microphone (84) and the cylinder (86).

3. The abnormal behavior identification device for highway construction supervision according to claim 2 is characterized in that: The power supply is powered by a lithium battery and is provided with multiple output interfaces, wherein the output interface is a 12V output.

4. The abnormal behavior identification device for highway construction supervision according to claim 1 is characterized by: The device further comprises a GSM module (7), and the control module (2) is connected to a mobile terminal via the GSM module (7), and the mobile terminal is a mobile phone.

5. The abnormal behavior identification device for highway construction supervision according to claim 1 is characterized by: The wireless communication module (3) adopts a wifi module.