Intelligent violation behavior recognition system integrating human body behavior recognition and tracking

Abstract

The invention discloses an intelligent violation behavior recognition system integrating human body behavior recognition and tracking, and particularly relates to the field of intelligent recognition of human body behaviors in an oil field. Construction personnel in the processes of underground operation, ground engineering construction and the like are intelligently monitored in real time, a target object image is cut into a large number of pixel points to be marked, a neural network is simulated to establish a data calculation model, a marked target object is sent into the data model to be trained, and a target object model is generated; through comparative analysis of collected images and a neural network model, various states of workers are directly detected in real time, violation behaviors of the workers are intelligently recognized, and the violation behaviors are recorded, so that alarms can be conveniently given for individuals, subsequent behaviors of the workers are conveniently standardized, and the working efficiency is improved. The safety of workers during working is improved, and the oilfield exploitation benefits are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent recognition of human behavior in oil fields, and more specifically, to an intelligent recognition system for illegal behavior integrating human behavior recognition and tracking. Background Art

[0002] With the rapid development of the national economy and the continuous acceleration of urbanization, my country's demand for energy is increasing. As the pillar of energy, the oil and gas industry is related to the country's economic lifeline. It is of great significance to carry out relevant technical research on oil and gas exploration and development.

[0003] In recent years, with the continuous expansion of the scope of oil and gas development, the staff in the oil field working environment are widely distributed, and management is prone to negligence, which leads to low obedience of staff to the operating specifications of the work and direct illegal operations. This not only makes it easy for the staff to have their own safety hazards, but also the accidents caused by illegal operations will affect the benefits and development safety of the oil field. Therefore, an intelligent recognition system for illegal behaviors that integrates human behavior recognition and tracking is proposed. Summary of the invention

[0004] In order to overcome the above-mentioned defects of the prior art, the present invention provides an intelligent identification system for illegal behaviors integrating human behavior recognition and tracking to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an intelligent identification system for traffic violation behaviors integrating human behavior recognition and tracking, comprising a video acquisition module, a data preprocessing module, a target information labeling module, a neural network module, a comparative analysis module, a storage module and a recording module, wherein the video acquisition module is connected to the data processing module, the data processing module cooperates with the storage module, the target information labeling module is connected to the data processing module, the neural network module is connected to the target information labeling module, the comparative analysis module is connected to the storage module, and the recording module is connected to the comparative analysis module.

[0006] The video acquisition module is used to collect videos of construction personnel in underground operations, ground engineering construction and other processes. The data preprocessing module cuts the target object image data into a large number of pixel points and transmits them to the target information labeling module for labeling. The neural network module simulates the data received by the neural network to establish a data calculation model and generate a target object model. The target model data is then transmitted to the comparison and analysis module. The storage module provides comparison and analysis of the standardized model, and the recording module is used to record the abnormal status of personnel, thereby achieving accurate identification, effective classification, real-time processing, traceability analysis, and violation records.

[0007] Preferably, the video acquisition module is a smart camera.

[0008] Preferably, the neural network module includes a static target recognition unit, a dynamic target recognition unit, a behavioral target recognition unit and a logical time recognition unit.

[0009] Preferably, the static target recognition unit is used to recognize clothing worn by a person.

[0010] Preferably, the dynamic target recognition unit is used to identify the wearing and corresponding quantity of personnel's labor protection, goggles, and safety belts, as well as the personnel's location.

[0011] Preferably, the behavior target identification unit is used to identify human action behaviors.

[0012] Preferably, the logical time identification unit is used to identify the working status of personnel.

[0013] The static target recognition unit automatically identifies personnel uniforms: work clothes, work pants, work shoes, work hats (red, blue, black), and safety helmets. The dynamic target recognition unit identifies the wearing and corresponding quantity of labor protection, goggles, and safety belts, as well as the location of personnel. The behavioral target recognition unit identifies behaviors such as smoking, making phone calls, gathering of people, falling down, and vacant posts. The logical event recognition unit judges and identifies personnel inspections, leaving the post, sleeping on the post, and irregular labor protection, and transmits the identified violation results to the recording module for recording.

[0014] Technical effects and advantages of the present invention:

[0015] The present invention discloses an intelligent identification system for illegal behaviors that integrates human behavior identification and tracking. It conducts intelligent monitoring of construction personnel in underground operations, ground engineering construction and other processes in real time, cuts target images into a large number of pixel points for annotation, simulates a neural network to establish a data calculation model, sends the annotated target objects into the data model for training, generates a target object model, directly detects various states of the staff in real time by comparing and analyzing the collected images with the neural network model, intelligently identifies the illegal behaviors of the staff, and records the illegal behaviors, so as to facilitate the issuance of alarms for individuals, thereby facilitating the subsequent standardization of the behavior of the staff, thereby improving the safety of the staff at work and improving the efficiency of oil field exploitation. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic diagram of the structure of the intelligent identification system for illegal behaviors integrating human behavior recognition and tracking of the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] Example 1

[0019] The invention discloses an intelligent identification system for illegal behaviors integrating human behavior identification and tracking. The data preprocessing module cuts the target image data into a large number of pixel points and transmits them to the target information annotation module for annotation. The neural network module simulates the data received by the neural network to establish a data calculation model and generate a target model. Then the target model data is transmitted to the comparison analysis module. The storage module provides comparison analysis for the standardized model. In the analysis and comparison process, the static target identification unit automatically identifies the personnel uniforms: work clothes, work pants, work shoes, work hats (red, blue, black), and safety helmets. The dynamic target identification unit identifies the wearing and corresponding quantity of personnel's labor protection, goggles, and safety belts, as well as the personnel's position. The behavior target identification unit identifies the behaviors of personnel smoking, making phone calls, personnel gathering, personnel falling, and vacant posts. The logic event identification unit determines and identifies the personnel inspection, leaving the post, sleeping on the post, and irregular labor protection. When the personnel do not wear the work clothes, the abnormal data of the personnel's uniforms is transmitted to the recording module for recording so as to warn the personnel.

[0020] Example 2

[0021] The invention discloses an intelligent identification system for illegal behaviors integrating human behavior identification and tracking. The data preprocessing module cuts the target image data into a large number of pixel points and transmits them to the target information annotation module for annotation. The neural network module simulates the data received by the neural network to establish a data calculation model and generate a target model. Then the target model data is transmitted to the comparison analysis module. The storage module provides comparison analysis for the standardized model. In the analysis and comparison process, the static target identification unit automatically identifies the personnel uniforms: work clothes, work pants, work shoes, work hats (red, blue, black), and safety helmets. The dynamic target identification unit identifies the wearing and corresponding quantity of personnel's labor protection, goggles, and safety belts, as well as the personnel's position. The behavior target identification unit identifies the behaviors of personnel smoking, making phone calls, personnel gathering, personnel falling, and vacant posts. The logic event identification unit determines and identifies the personnel inspection, leaving the post, sleeping on the post, and irregular labor protection. When the personnel's labor protection supplies are fully worn or missing, the abnormal wearing data of the personnel's labor protection supplies is transmitted to the recording module for recording so as to warn the personnel.

[0022] Example 3

[0023] The invention discloses an intelligent identification system for illegal behaviors integrating human behavior identification and tracking. The data preprocessing module cuts the target image data into a large number of pixels and transmits them to the target information annotation module for annotation. The neural network module simulates the data received by the neural network to establish a data calculation model and generate a target model. Then the target model data is transmitted to the comparison analysis module. The storage module provides comparison analysis for the standardized model. In the analysis and comparison process, the static target identification unit automatically identifies the personnel uniforms: work clothes, work pants, work shoes, work hats (red, blue, black), and safety helmets. The dynamic target identification unit identifies the wearing and corresponding quantity of personnel labor protection, goggles, and safety belts, as well as the personnel position. The behavior target identification unit identifies the behaviors of personnel smoking, making phone calls, gathering of personnel, falling down, and vacant posts. The logic event identification unit determines and identifies the personnel inspection, leaving the post, sleeping on the post, and non-standard labor protection. When the personnel smoke, make phone calls, gather, etc., the abnormal data of the personnel's work behavior is transmitted to the recording module for recording so as to warn the personnel.

[0024] Example 4

[0025] The invention discloses an intelligent identification system for illegal behaviors integrating human behavior identification and tracking. The data preprocessing module cuts the target image data into a large number of pixels and transmits them to the target information annotation module for annotation. The neural network module simulates the data received by the neural network to establish a data calculation model and generate a target model. Then the target model data is transmitted to the comparison analysis module. The storage module provides comparison analysis for the standardized model. In the analysis and comparison process, the static target identification unit automatically identifies the personnel uniforms: work clothes, work pants, work shoes, work hats (red, blue, black), and safety helmets. The dynamic target identification unit identifies the wearing and corresponding quantity of personnel labor protection, goggles, and safety belts, as well as the personnel position. The behavior target identification unit identifies the behaviors of personnel smoking, making phone calls, personnel gathering, personnel falling, and vacant posts. The logic event identification unit determines and identifies the personnel inspection, leaving the post, sleeping on the post, and irregular labor protection. When the personnel leave the post or sleep on the post, the abnormal working status data of the personnel is transmitted to the recording module for recording so as to warn the personnel.

[0026] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent identification system for illegal behaviors that integrates human behavior recognition and tracking. Features: It includes a video acquisition module, a data preprocessing module, a target information labeling module, a neural network module, a comparative analysis module, a storage module and a recording module. The video acquisition module is connected to the data processing module, the data processing module cooperates with the storage module, the target information labeling module is connected to and cooperates with the data processing module, the neural network module is connected to and cooperates with the target information labeling module, the comparative analysis module is connected to and cooperates with the storage module, and the recording module is connected to and cooperates with the comparative analysis module.

2. According to claim 1, an intelligent identification system for illegal behaviors integrating human behavior recognition and tracking, Features: The video acquisition module is a smart camera.

3. According to claim 1, an intelligent identification system for illegal behaviors integrating human behavior recognition and tracking, Features: The neural network module includes a static target recognition unit, a dynamic target recognition unit, a behavioral target recognition unit and a logical time recognition unit.

4. According to claim 1, an intelligent identification system for illegal behaviors integrating human behavior recognition and tracking, Features: The static target recognition unit is used to recognize clothing worn by a person.

5. According to claim 1, an intelligent identification system for illegal behaviors integrating human behavior recognition and tracking, Features: The dynamic target recognition unit is used to identify the wearing and corresponding quantity of labor protection, goggles, and safety belts of personnel, as well as the position of personnel.

6. According to claim 1, an intelligent identification system for illegal behaviors integrating human behavior identification and tracking, Features: The behavior target recognition unit is used to recognize the action behavior of personnel.

7. According to claim 1, an intelligent identification system for illegal behaviors integrating human behavior identification and tracking, Features: The logical time identification unit is used to identify the working status of personnel.

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