CN115359429A - Image recognition method and system for habitual violation behaviors - Google Patents
Image recognition method and system for habitual violation behaviors Download PDFInfo
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Abstract
The invention discloses an image recognition method and system for habitual violation, which comprises the following steps: acquiring the mechanical construction progress information of a construction site, acquiring the information of vehicles entering and exiting, and acquiring the information of personnel entering and exiting; judging whether hidden dangers exist in the current construction site according to the mechanical construction progress information of the construction site, judging whether vehicle violation behaviors occur in vehicles entering and exiting according to the vehicle entering and exiting information, and judging whether personnel violation behaviors occur according to the information of personnel entering and exiting; when hidden danger exists in the current construction site, vehicle violation behaviors or personnel violation behaviors occur, a prompt signal is sent out, and the method and the system can find the violation operation behaviors in time.
Description
Technical Field
The invention belongs to the field of new energy infrastructure illegal behavior supervision related technologies, and relates to an image identification method and system for habitual illegal behaviors.
Background
In recent years, due to the increase in the cost of fossil fuels and the increasing severity of environmental pollution, the new energy industry has been receiving much attention.
Due to the high standard particularity of new energy capital construction, when the construction is carried out on the new energy capital construction site, due to the fact that machines and personnel are more, the site is relatively disordered, management negligence can occur, illegal operation cannot be timely avoided and corrected, particularly, construction personnel can often unconsciously judge and decide according to self feeling, self-correction is not easy, the habitual illegal operation problem occurs, negative effects are easily caused, and construction accidents or even personal safety accidents are emphasized and corrected.
Patent publication No. CN112131939A provides an image recognition system for habitual violations in power grid infrastructure, which comprises operation field image terminal equipment, a mobile control terminal, a power grid infrastructure safety intelligent control module and a training scene, wherein the operation field image terminal equipment, the mobile control terminal and the power grid infrastructure safety intelligent control module are in data interaction, the training scene has the characteristics of a power grid engineering construction site management ecological circle, the operation field image terminal equipment, the mobile control terminal and the power grid infrastructure safety intelligent control module need to perform habitual violations image recognition adjustment test in the training scene before use, the training scene makes habitual violations for image acquisition according to power grid infrastructure relevant specifications, and the operation field image terminal comprises an active handheld terminal, an industrial video device and an active configuration control ball machine, the power grid infrastructure safety intelligent control module comprises a video control module, an image feature recognition module, an information storage module and an information processing module, wherein the video control module controls an active type deployment control dome camera to capture, an operation site image terminal stores collected information into the information storage module, the image feature recognition module performs filtering, enhancing and image edge detection, the information processing module compares the information with pre-recorded information to generate violation behavior prompting early warning information with initial time of information storage as a name and stores the violation behavior prompting early warning information into the information storage module, the violation behavior prompting early warning information is automatically transmitted to a mobile control terminal and is transmitted to a handheld terminal by the mobile control terminal, and the mobile control terminal can control the power grid infrastructure safety intelligent control module to collect or upload information and upload the information to a power grid power operation overall process risk control system under network conditions, and receiving feedback information of the risk management and control system in the whole process of power grid power operation, then transmitting the feedback information to the mobile control terminal and storing the feedback information into the information storage module for comparison.
The pre-entered information is image identification information of habitual violation behaviors collected in a training scene and feedback information of a risk management and control system in the whole process of power grid power operation.
The power grid infrastructure safety intelligent management and control module further comprises a hardware module of a high formwork detection device, a foundation pit detection device, a crane detection device and a infrastructure safety gateway device, wherein the high formwork detection device collects parameters of horizontal displacement, formwork settlement, vertical rod axial force and rod inclination angle of a key part or a weak part of the high formwork, the foundation pit detection device collects parameters of peripheral horizontal displacement, supporting structure internal force and vertical displacement of the foundation pit, and the crane detection device collects parameters of moment, amplitude, load and tower inclination angle of a crane.
The power grid infrastructure safety intelligent management and control module wireless network bridge transmission equipment realizes wireless communication networking.
The power grid infrastructure safety intelligent management and control module further has basic functions of providing work attendance for field operation personnel, inputting violation notice and supervising executed infrastructure safety management and control.
The image recognition system for the habitual violation behaviors in the power grid infrastructure projects simulates the related behavior specifications and the habitual violation behaviors by using a working site with the characteristics of a power grid project site management ecosphere, can obtain images of the habitual violation behaviors in the period, and provides image basis for judging the habitual violation behaviors while adjusting and testing the image terminal equipment, the mobile control terminal and the power grid infrastructure safety intelligent control module in the working site. The method can comprehensively, quickly and efficiently store the operation site images in a mode of the highest reduction degree, analyze and compare the images, can facilitate the operation site personnel to quickly find habitual violations, and ensures the engineering quality and the safety of the operation site workers.
However, the above technical solutions only explain the general architecture of the system in a modular form, but are deficient in specific implementation and implementation contents, and the contents of the solutions are biased to focus on monitoring the standard operation of large mechanical equipment in a infrastructure site, so that no attention is paid to the management of entering and exiting vehicles and other manual operation behaviors, a vulnerability in management is easy to occur, and the measures for finding out illegal operation behaviors are not thorough.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides an image recognition method and system for habitual illegal behaviors, and the method and system can find the illegal operation behaviors in time.
In order to achieve the purpose, the invention adopts the following technical scheme:
in one aspect, the present invention provides an image recognition method for habitual violation, including:
acquiring the mechanical construction progress information of a construction site, acquiring the information of vehicles entering and exiting, and acquiring the information of personnel entering and exiting;
judging whether hidden dangers exist in the current construction site according to the mechanical construction progress information of the construction site, judging whether vehicle violation behaviors occur in vehicles entering and exiting according to the vehicle entering and exiting information, and judging whether personnel violation behaviors occur according to the information of personnel entering and exiting;
and when hidden danger exists in the current construction site, vehicle violation behaviors or personnel violation behaviors occur, sending a prompt signal.
And judging whether hidden dangers exist in the current construction site or not according to the mechanical construction progress information of the construction site in a comparison mode, judging whether vehicle violation behaviors occur in vehicles entering and leaving according to the vehicle entering and leaving information, and judging whether personnel violation behaviors occur according to the information of personnel entering and leaving.
In a second aspect of the present invention, an image recognition system for habitual violation includes:
the image and signal acquisition equipment is used for acquiring the mechanical construction progress information of a construction site, acquiring the information of vehicles entering and exiting and acquiring the information of personnel entering and exiting;
the data analysis processing equipment is used for judging whether hidden dangers exist in the current construction site according to the mechanical construction progress information of the construction site, judging whether vehicle violation behaviors occur in vehicles entering and exiting according to the vehicle entering and exiting information, and judging whether personnel violation behaviors occur according to the information of personnel entering and exiting;
and the correction reminding device is used for sending a reminding signal when hidden dangers exist in the current construction site, vehicle violation behaviors occur or personnel violation behaviors occur.
The image and signal acquisition equipment and the data analysis processing equipment as well as the data analysis processing equipment and the correction reminding device are connected through information transmission equipment.
The image and signal acquisition equipment comprises a plurality of cameras and infrared monitoring equipment, the cameras are divided into two groups, wherein one group of cameras adopt a fixed arrangement mode to be arranged at each monitoring position, the other group of cameras are arranged on an unmanned aerial vehicle, and the unmanned aerial vehicle carries out shooting without dead angles on a construction site so as to acquire mechanical construction progress information of the construction site.
The data transmission module comprises a wired network transmission module and a wireless network transmission module, and the wireless network transmission module comprises a wireless communication transmitting unit and a wireless communication receiving unit.
The wireless communication transmitting unit is a ZigBee wireless transmitting unit, and the wireless communication receiving unit is a ZigBee wireless receiving unit.
The correction reminding device is internally provided with a Beidou positioning or GPS positioning module and a voice and vibration reminding module.
The invention has the following beneficial effects:
when the image recognition method and the image recognition system for the habitual violation behaviors are specifically operated, the mechanical construction progress information, the information of vehicles entering and exiting and the information of personnel entering and exiting a construction site are obtained, and whether hidden dangers exist in the current construction site, whether vehicle violation behaviors occur in vehicles entering and exiting and whether personnel violation behaviors occur in vehicles entering and exiting are judged according to the information, so that a foundation site is monitored and analyzed, the safety and the quality of the foundation are guaranteed, meanwhile, the site data are monitored and recorded in real time, the image recognition method and the image recognition system for the habitual violation behaviors are convenient to check and use, and the construction safety and the construction quality are guaranteed; in addition, through the voice broadcast mode, timely remind and correct relevant constructors, effectively prevent the violation and prevent bad consequences expansion caused by the violation, and help to correct habitual violation.
Further, through two kinds of camera arrangement modes of fixed and unmanned aerial vehicle, can ensure the comprehensive of control cover, reduce because the control dead angle that vehicle or machinery and building blockked appears to in time discover the behavior in violation of rules and regulations, can further ensure the safe normal operating of new forms of energy capital construction job site.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are included to illustrate an exemplary embodiment of the invention and not to limit the invention. In the drawings:
FIG. 1 is a system configuration diagram of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, 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 only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The invention is described in further detail below with reference to the accompanying drawings:
example one
The image recognition method for the habitual violation comprises the following steps:
1) Acquiring the mechanical construction progress information of a construction site, acquiring the information of vehicles entering and exiting, and acquiring the information of personnel entering and exiting;
2) Judging whether hidden dangers exist in the current construction site according to the mechanical construction progress information of the construction site, judging whether vehicle violation behaviors occur in vehicles entering and exiting according to the vehicle entering and exiting information, and judging whether personnel violation behaviors occur according to the information of personnel entering and exiting;
3) When hidden dangers exist in the current construction site, vehicle violation behaviors occur or personnel violation behaviors occur, a prompt signal is sent.
Example two
Referring to fig. 1, the image recognition system for habitual violation according to the present invention includes:
the image and signal acquisition equipment is used for acquiring the mechanical construction progress information of a construction site, acquiring the information of vehicles entering and exiting and acquiring the information of personnel entering and exiting;
the data analysis processing equipment is used for judging whether hidden dangers exist in the current construction site according to the mechanical construction progress information of the construction site, judging whether vehicle violation behaviors occur in vehicles entering and leaving according to the vehicle entering and leaving information, and judging whether personnel violation behaviors occur according to the information of personnel entering and leaving;
and the correction reminding device is used for sending a reminding signal when hidden dangers exist in the current construction site, vehicle violation behaviors occur or personnel violation behaviors occur.
The image and signal acquisition equipment and the data analysis processing equipment as well as the data analysis processing equipment and the correction reminding device are connected through information transmission equipment.
Specifically, image and signal acquisition equipment include a plurality of cameras and infrared ray supervisory equipment, the camera divide into two sets ofly, and wherein, a set of camera adopts the fixed mode of arranging, arranges in each monitoring position, and another group's camera arranges on unmanned aerial vehicle, carries through the shooting at no dead angle to the job site through unmanned aerial vehicle to acquire the mechanical construction progress information of job site, improve the coverage of effective control.
The data transmission module comprises a wired network transmission module and a wireless network transmission module, the wireless network transmission module comprises a wireless communication transmitting unit and a wireless communication receiving unit, the wireless communication transmitting unit is a ZigBee wireless transmitting unit, the wireless communication receiving unit is a ZigBee wireless receiving unit, the wired transmission unit and the wireless transmission unit coexist, normal communication is further guaranteed, meanwhile, the ZigBee wireless unit is stable in performance, and power consumption is low.
The data analysis processing equipment is internally provided with any one of a MySQL database or an SQLServer database for base station violation comparison, the database performance is stable, the load data volume is large, and the modification is convenient.
The correction reminding device is internally provided with a Beidou positioning or GPS positioning module and a voice and vibration reminding module. The infrared monitoring in the image and signal acquisition equipment is arranged at each entrance and exit of the infrastructure construction, and the information of the entering and exiting vehicles and the constructors is effectively counted.
The system monitors and analyzes the infrastructure site in an intelligent, informatization and digital mode, ensures the safety and quality of infrastructure, monitors and records site data in real time, is convenient for future reference and use, and is beneficial to ensuring the construction safety and quality; the collected infrastructure site information is subjected to diversified analysis, then the violation behaviors can be analyzed and evaluated through database comparison, the monitored information is timely and effectively analyzed, evaluated and labeled, and the standard regulation is appropriately corrected according to the project progress condition and the environment condition, so that the construction strain capacity is improved, related constructors are timely reminded and corrected through an error correction instruction feedback module, the violation behaviors are effectively stopped, bad consequences caused by the violation behaviors are prevented from being enlarged, and the habitual violation behaviors are corrected through manual and systematic circulation prompt;
through two kinds of camera arrangement modes of fixed and unmanned aerial vehicle, can ensure the comprehensiveness of control coverage, reduce because the control dead angle that vehicle or machinery and building blockked appears to in time discover the violation of action, can further ensure the safe normal operating of new forms of energy capital construction job site.
The present invention is illustrated by way of example and not by way of limitation. It will be apparent to those skilled in the art that other variations and modifications may be made in the foregoing disclosure without departing from the spirit or essential characteristics of all embodiments, and that all changes and modifications apparent from the above teachings are within the scope of the invention.
EXAMPLE III
A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method for image recognition of habitual violations, and wherein the memory may include a memory, such as a high speed random access memory, or may further include a non-volatile memory, such as at least one disk memory, etc.; the processor, the network interface and the memory are connected with each other through an internal bus, wherein the internal bus can be an industrial standard system structure bus, a peripheral component interconnection standard bus, an extended industrial standard structure bus and the like, and the bus can be divided into an address bus, a data bus, a control bus and the like. The memory is used for storing programs, and particularly, the programs can include program codes which comprise computer operation instructions. The memory may include both memory and non-volatile storage and provides instructions and data to the processor.
Example four
A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method for image recognition of habitual violations, in particular, but not exclusively, volatile and/or non-volatile memory, for example. The volatile memory may include Random Access Memory (RAM) and/or cache memory (cache), among others. The non-volatile memory may include a Read Only Memory (ROM), hard disk, flash memory, optical disk, magnetic disk, and the like.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: although the present invention has been described in detail with reference to the above embodiments, it should be understood by those skilled in the art that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (8)
1. An image recognition method for habitual violation, comprising:
acquiring the mechanical construction progress information of a construction site, acquiring the information of vehicles entering and exiting, and acquiring the information of personnel entering and exiting;
judging whether hidden dangers exist in the current construction site according to the mechanical construction progress information of the construction site, judging whether vehicle violation behaviors occur in vehicles entering and exiting according to the vehicle entering and exiting information, and judging whether personnel violation behaviors occur according to the information of personnel entering and exiting;
and when hidden danger exists in the current construction site, vehicle violation behaviors or personnel violation behaviors occur, sending a prompt signal.
2. The habitual violation image identification method of claim 1, wherein a comparison mode is adopted, whether hidden danger exists in a current construction site is judged according to mechanical construction progress information of the construction site, whether vehicle violation occurs in vehicles entering and exiting is judged according to vehicle entering and exiting information, and whether personnel violation occurs is judged according to personnel entering and exiting information.
3. An image recognition system for habitual violations, comprising:
the image and signal acquisition equipment is used for acquiring the mechanical construction progress information of a construction site, acquiring the information of vehicles entering and exiting and acquiring the information of personnel entering and exiting;
the data analysis processing equipment is used for judging whether hidden dangers exist in the current construction site according to the mechanical construction progress information of the construction site, judging whether vehicle violation behaviors occur in vehicles entering and leaving according to the vehicle entering and leaving information, and judging whether personnel violation behaviors occur according to the information of personnel entering and leaving;
and the correction reminding device is used for sending a reminding signal when hidden dangers exist in the current construction site, vehicle violation behaviors occur or personnel violation behaviors occur.
4. The habitual violation behavior image recognition system according to claim 3, wherein the image and signal acquisition device and the data analysis processing device and the correction reminding device are connected through an information transmission device.
5. The habitual violation image recognition system according to claim 3, wherein the image and signal acquisition device comprises a plurality of cameras and infrared monitoring devices, the cameras are divided into two groups, one group of cameras are fixedly arranged at each monitoring position, the other group of cameras are arranged on the unmanned aerial vehicle, and the unmanned aerial vehicle carries out non-dead-angle shooting on a construction site to obtain mechanical construction progress information of the construction site.
6. The habitual violation image recognition system of claim 4, wherein the data transmission module comprises a wired network transmission module and a wireless network transmission module, and the wireless network transmission module comprises a wireless communication transmitting unit and a wireless communication receiving unit.
7. The habitual violation image recognition system according to claim 6, wherein the wireless communication transmitter is a ZigBee wireless transmitter, and the wireless communication receiver is a ZigBee wireless receiver.
8. The habitual violation image recognition system of claim 4, wherein the corrective alerting device has a Beidou positioning or GPS positioning module and a voice and vibration alerting module built therein.
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| CN202211109862.9A CN115359429A (en) | 2022-09-13 | 2022-09-13 | Image recognition method and system for habitual violation behaviors |
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| CN202211109862.9A CN115359429A (en) | 2022-09-13 | 2022-09-13 | Image recognition method and system for habitual violation behaviors |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116562824A (en) * | 2023-05-25 | 2023-08-08 | 闽通数智安全顾问(杭州)有限公司 | Highway engineering full life cycle project management method and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116562824A (en) * | 2023-05-25 | 2023-08-08 | 闽通数智安全顾问(杭州)有限公司 | Highway engineering full life cycle project management method and system |
| CN116562824B (en) * | 2023-05-25 | 2023-11-24 | 闽通数智安全顾问(杭州)有限公司 | Highway engineering full life cycle project management method and system |
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