Automatic management method based on national standard specification AI hidden danger identification

Abstract

The invention discloses an automatic management method based on national standard specification AI hidden danger identification, which comprises the following steps: S1, establishing a national standard specification database of the construction industry, and enabling a constructor to carry out the real-time query of specification behaviors through a mobile phone terminal applet; s2, capturing each violation picture appearing in the construction site in real time through a manual system screen capture function of the visual commanding and dispatching platform, or performing real-time and automatic AI monitoring and identification on each potential safety hazard appearing in a video; s3, setting an automatic assessment letter template, associating and automatically generating a plurality of assessment letters, and sending the assessment letters to the mobile phone terminals of the corresponding constructors; and S4, obtaining a potential safety hazard data analysis summary sheet according to the assessment database. According to the invention, the visual commanding and dispatching platform automatically recognizes the potential safety hazards existing in the construction site, automatically generates the corresponding assessment letter and sends the assessment letter to the mobile phone terminal of the corresponding constructor, so that the recognition efficiency of the potential safety hazards is improved, and the safety consciousness of the constructor is enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of construction management, and in particular to an automated management method for AI hidden danger identification based on national standards. Background Art

[0002] At present, with the expansion of urban engineering construction and the complexity of construction technology, how to do a good job in on-site construction supervision and control the frequency of accidents has always been the focus of attention of construction companies and government management departments. Using modern technology to optimize monitoring methods and achieve real-time, full-process and all-round safety production supervision has become an important demand for construction management in the construction industry. At the same time, it is difficult to manage personnel on the construction site, there are many temporary employees and they lack professional training. They are not aware of hidden dangers, which can easily lead to safety accidents on the construction site. Therefore, corresponding safety measures need to be taken to address the safety hazards existing during construction.

[0003] There is an existing intelligent identification method for construction safety hazards. The method obtains first video data of a construction area, selects multiple feature points in the first video data, calculates position information of the multiple feature points, tracks the multiple feature points, calculates motion information of the multiple feature points, and then determines whether the motion information of the multiple feature points meets predetermined conditions, thereby determining key feature points, allowing a drone to approach the key feature points based on the position information of the key feature points, collects second video data around the abnormal features, and identifies safety hazards in the second video data.

[0004] However, the measures currently taken include at least the following three problems: 1) Poor real-time performance: The existing intelligent identification method for construction safety hazards collects the second video data of the construction site through drones, and identifies the safety hazard behaviors of construction workers based on the movement trends of construction workers in each video frame image, but cannot monitor construction safety hazards in real time; 2) The process is cumbersome. The existing intelligent identification method for construction safety hazards requires determining multiple feature points in the construction area through the first video data, and then determining the key feature points based on the multiple feature points. The second video data is collected by the drone, and the safety hazards in the second video data are identified. The process is relatively cumbersome. 3) Low efficiency: The existing intelligent identification method for construction safety hazards requires analyzing the first video data and the second video data of the construction area to determine the safety hazards in the construction area. It cannot monitor the construction site in real time, so the efficiency of identifying safety hazards is low. Summary of the invention

[0005] In response to the above three problems, the purpose of the present invention is to propose an automated management method based on the national standard AI hidden danger identification. By utilizing a visual command and dispatch platform to conduct real-time monitoring of the construction site, the problems of poor real-time performance and low efficiency in the existing safety hazard identification process are overcome. The visual command and dispatch platform can monitor the operation of each department or link at the construction site in real time, and the platform supports simultaneous online collaboration of multiple people, which facilitates employees from different departments to jointly deal with problems, thereby improving the efficiency of identifying safety hazards at the construction site and reducing the occurrence of harmful accidents.

[0006] This is achieved through the following technical solutions: An automated management method based on AI hidden danger identification according to national standards, the method comprising the following steps: S1. According to the national standards of the construction industry, a national standard database for the construction industry is established in a visual command and dispatch platform, and at the same time, demonstration cases of the corresponding specifications are entered on the PC side, and each construction worker conducts real-time query of standardized behaviors through a small program on a mobile phone; S2. Through the manual system screenshot function of the visual command and dispatch platform, each illegal screen appearing on the construction site is captured in real time, or through the real-time automatic AI monitoring and identification function of the command and dispatch platform, during the flow of construction videos, each safety hazard appearing in the video is monitored and identified in real time and automatically by AI; S3. An automated assessment letter template is set, and when multiple safety hazard identification data corresponding to multiple safety hazards are associated with the assessment items of the corresponding construction personnel, multiple assessment letters are automatically generated and sent to the mobile phones of the corresponding construction personnel; then, according to the assessment database of the command and dispatch platform, the salary assessment items of the corresponding construction personnel are associated, and their basic hourly wages are reduced by a corresponding amount; S4. Through the visual command and dispatch platform, the assessment database is integrated to form a real-time dynamic and different-dimensional safety hazard data analysis summary table.

[0007] The present invention uses a visual command and dispatch platform to monitor the construction site in real time, thereby reducing the occurrence of safety hazards at the construction site. At the same time, the platform can automatically identify the safety hazards existing at the construction site, and automatically generate a corresponding assessment letter and send it to the corresponding construction personnel's mobile phone, thereby improving the safety awareness of the construction personnel.

[0008] Preferably, in step S2, the visual command and dispatch platform is combined with the smart helmet to monitor the construction site in real time. The smart helmet worn by the construction workers can monitor the construction site in real time while the construction workers are working, ensuring the timely transmission of safety hazard information at the construction site.

[0009] Preferably, in step S2, a corresponding safety hazard rectification plan legend is generated based on the multiple illegal screens captured and the multiple safety hazards identified by AI monitoring, as well as the national standard specification database. The safety hazard rectification plan legend can be used to retain safety hazard data for project management, which is convenient for later rectification, data analysis and intelligent auxiliary decision-making.

[0010] Preferably, in step S2, when a safety hazard is identified by AI monitoring, the safety hazard is automatically analyzed and intelligently matched according to the national standard specification database, and the corresponding safety hazard identification data is formed and entered into the assessment database of the command and dispatch platform. By automatically analyzing and matching the safety hazards identified by AI monitoring, the efficiency of identifying safety hazards is improved.

[0011] Preferably, in step S3, the assessment letter template at least includes the assessor, assessment behavior, assessment score, assessment amount and assessment time, which are automatically obtained from the assessment database. By setting the assessment letter template, construction personnel who have committed disciplinary violations can be informed of the day's punishment and rectification suggestions, thereby reducing the occurrence of safety hazards in the later stage.

[0012] Preferably, in step S3, the assessment items include at least: violation item, violation time, violation location, violation behavior, violator, assessment score and assessment amount. By associating the assessment items with the safety hazard identification data, more comprehensive safety hazard information can be obtained.

[0013] Preferably, each violation corresponds to a different assessment score and assessment amount. By deducting the corresponding assessment amount from the basic hourly wage of the construction personnel according to the assessment score, the purpose of effectively managing and assessing the construction personnel can be achieved.

[0014] Preferably, in step S3, after each violator receives the assessment letter, the assessment letter is associated with a skill teaching video related to the assessment behavior in the assessment letter. The associated skill teaching video can strengthen the safety awareness of the construction workers and reduce the occurrence of safety hazards.

[0015] Compared with the prior art, the present invention has the following beneficial effects: The technical solution of the present invention overcomes the problems of poor real-time performance and low efficiency in the existing safety hazard identification process by utilizing a visual command and dispatch platform to conduct real-time monitoring of the construction site. The visual command and dispatch platform can automatically identify the safety hazards existing at the construction site, and after automatic analysis and intelligent matching, the associated assessment items automatically generate corresponding assessment letters and send them to the corresponding construction personnel's mobile phones, thereby improving the efficiency of identifying safety hazards at the construction site and strengthening the safety awareness of the construction personnel. At the same time, the platform supports simultaneous online collaboration of multiple people, making it convenient for employees from different departments to jointly deal with problems, thereby improving the team's work efficiency and reducing the occurrence of safety hazards at the construction site. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a flow chart of an automated management method for AI hidden danger identification based on national standards. DETAILED DESCRIPTION

[0017] The technical solutions in the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0018] like Figure 1 As shown in the figure, it is a flow chart of an automated management method for AI hidden danger identification based on national standards. First, a national standard database for the construction industry is established, and construction personnel can conduct real-time queries on standardized behaviors through mobile applets. Then, the manual system screenshot function of the visual command and dispatch platform is used to capture illegal images appearing at the construction site in real time, or each safety hazard appearing in the video is monitored and identified in real time and automatically by AI. Then, an automated assessment letter template is set up, and multiple assessment letters are automatically generated and sent to the mobile phones of corresponding construction personnel. Finally, a safety hazard data analysis summary table is obtained based on the assessment database, and the safety hazards that have occurred are analyzed through the safety hazard data analysis summary table, so as to formulate corresponding response measures and reduce the occurrence of safety hazards in the later stage.

[0019] The method specifically comprises the following steps: S1. According to the national standards and specifications of the construction industry, including: "Technical Specifications for Safety of Construction Formwork", "Technical Specifications for Safety of Construction Height Operations" and "Technical Specifications for Safety of Construction Machinery Use", etc., a national standard database for the construction industry is established in the visual command and dispatch platform, and the demonstration cases of the corresponding specifications are entered on the PC side. Each construction worker can conduct real-time query of standardized behavior through the mobile app. The national standard database is used for learning about safety management specifications for construction personnel. Through the national standard database, construction personnel can quickly learn the correct use of construction equipment and construction tools, and can standardize the construction behavior of construction personnel, thereby strengthening the safety hazard awareness of construction personnel and effectively reducing the occurrence of safety hazards.

[0020] In this embodiment, in step S1, a national standard specification database is established based on national standard specification documents of multiple construction industries and is classified according to the equipment and tools used in the construction work, including: mechanical equipment operation, electrical equipment operation, power tool operation and other categories; and each construction worker can view the national standard specification database in the database module of the mobile app after registering and authenticating the real name on the mobile app, and use it for learning and technical guidance, so as to further standardize personal construction behavior and avoid the occurrence of safety hazards.

[0021] S2. During real-time supervision through the visual command and dispatch platform, the manual system screenshot function of the visual command and dispatch platform can be used to capture in real time every illegal screen containing safety hazards at the construction site, or the real-time automatic AI monitoring and identification function of the command and dispatch platform can be used to conduct real-time and automatic AI monitoring and identification of each safety hazard appearing in the video during the flow of construction video. When capturing or identifying safety hazards appearing in the construction, according to the national standard database, the automatic analysis and intelligent matching functions of the visual command and dispatch platform are used to automatically analyze and intelligently match each captured or identified safety hazard, and after the safety hazard identification data of the corresponding safety hazards are formed, they enter the assessment database of the command and dispatch platform.

[0022] In this embodiment, in step S2, the visual command and dispatch platform is connected to the smart helmet, and the safety hazards occurring at the construction site are captured and identified through the construction site video taken in real time by the smart helmet. The smart helmet includes: a smart lighting lamp, a high-definition camera, a battery area, a high-definition dialogue system, an alarm key and a power button. Among them, the smart lighting lamp is used to illuminate the construction workers in a construction environment with insufficient light; the high-definition camera is used to take real-time photos of the construction site so that the safety management personnel can promptly discover the safety hazards that occur; the battery area charges the smart helmet by installing a battery, so that the smart helmet can be charged without a power cord; the high-definition dialogue system is used for the safety management personnel to talk with the construction personnel so that the construction personnel can report the situation of the construction site in time and the safety management personnel can command and control the construction personnel; the alarm button is used when an emergency occurs at the construction site. After the construction personnel press the alarm button, the safety management personnel can quickly start the corresponding emergency plan; the power button is used to turn on the various functions of the smart helmet; therefore, by wearing the smart helmet by the construction personnel, the timely transmission of the safety hazard information at the construction site can be ensured.

[0023] In this embodiment, in step S2, based on the screenshots of multiple violation screens containing safety hazards and multiple safety hazards identified by AI monitoring, as well as the national standard specification database, a corresponding safety hazard rectification plan legend is generated; wherein the rectification plan legend includes: project name, violators, hazard description, risk level, specification standards and rectification requirements, etc. The generated safety hazard rectification plan legend can be used to retain safety hazard data for project management, which is convenient for later rectification, data analysis and intelligent auxiliary decision-making.

[0024] S3. Set up an automated assessment letter template, which includes the assessor, assessment behavior, assessment score, assessment amount, and assessment time, etc., which are automatically obtained from the assessment database; when multiple safety hazard identification data corresponding to multiple safety hazards captured or identified enter the assessment database, the command and dispatch platform needs to review the multiple safety hazard identification data. After the review is completed, the multiple safety hazard identification data are automatically associated with the assessment items of the corresponding construction personnel, and then multiple assessment letters are automatically generated and sent to the mobile phones of the corresponding construction personnel; the assessment items include: violation items, violation time, violation location, violation behavior, violator, assessment score, and assessment amount, etc. Among them, the purpose of reviewing the safety hazard identification data is to confirm whether the results of the command and dispatch platform's AI monitoring and identification and intelligent matching are correct, improve the accuracy of identifying, automatically analyzing, and intelligently matching safety hazards, and increase the efficiency of identifying safety hazards.

[0025] At the same time, through the assessment database of the command and dispatch platform, the platform automatically links the salary assessment items of the corresponding construction personnel, and automatically deducts the corresponding points based on the disciplinary violations of each construction personnel in the assessment database, and reduces their basic hourly wage by the corresponding amount. Each violation corresponds to a different assessment score and assessment amount, which can achieve the purpose of effective management and assessment of construction personnel.

[0026] In this embodiment, in step S3, after each violator receives the assessment letter, the assessment letter will detail the violation information of the construction worker, so that the construction worker who has committed the violation can be informed of the violation punishment and rectification suggestions on that day, thereby reducing the occurrence of safety hazards in the future; at the same time, the assessment letter is associated with the relevant skill teaching video of the assessment behavior in the assessment letter. Through the associated relevant skill teaching videos, the safety awareness of the construction workers can be strengthened and the occurrence of safety hazards can be reduced.

[0027] S4. Through the visual command and dispatch platform, the assessment database is integrated to form a real-time dynamic and different-dimensional safety hazard data analysis summary table. The safety hazard data analysis summary table includes: the frequency of safety hazards in each time period, the frequency of safety hazards in each construction project, and the frequency of various types of safety hazards, etc.; and through the safety hazard data analysis summary table, the safety hazards that occur are analyzed, and corresponding safety hazard response measures can be formulated, thereby reducing the frequency of safety hazards in the later period.

[0028] To sum up, the present invention overcomes the problems of poor real-time performance and low efficiency in the existing safety hazard identification process by utilizing a visual command and dispatch platform to conduct real-time monitoring of the construction site. The visual command and dispatch platform can automatically identify the safety hazards existing at the construction site, and after automatic analysis and intelligent matching, the associated assessment items automatically generate corresponding assessment letters and send them to the corresponding construction personnel’s mobile phones, thereby improving the efficiency of identifying safety hazards at the construction site and strengthening the safety awareness of the construction personnel. At the same time, the platform supports simultaneous online collaboration of multiple people, making it convenient for employees from different departments to jointly deal with problems, thereby improving the team’s work efficiency and reducing the occurrence of safety hazards at the construction site, which is significantly progressive.

[0029] The above embodiments are only for illustrating the technical idea of ​​the present invention, and cannot be used to limit the protection scope of the present invention. Any changes made on the basis of the technical solution in accordance with the technical idea proposed by the present invention shall fall within the protection scope of the present invention.

Claims

1. An automated management method for AI hidden danger identification based on national standards, characterized in that: The method comprises the following steps: S1. According to the national standards and specifications of the construction industry, a national standard database for the construction industry is established in the visual command and dispatch platform. At the same time, demonstration cases of corresponding specifications are entered on the PC side. Each construction worker can query the standardized behavior in real time through the mobile app; S2. Use the manual system screenshot function of the visual command and dispatch platform to capture every illegal screen at the construction site in real time, or use the real-time automatic AI monitoring and identification function of the command and dispatch platform to perform real-time and automatic AI monitoring and identification of every safety hazard in the video during the flow of construction video; S3. Set up an automated assessment letter template. When multiple safety hazard identification data corresponding to multiple safety hazards are associated with the assessment items of the corresponding construction personnel, multiple assessment letters are automatically generated and sent to the mobile phones of the corresponding construction personnel. Then, according to the assessment database of the command and dispatch platform, the salary assessment items of the corresponding construction personnel are associated, and their basic hourly wages are reduced by a corresponding amount. S4. Through the visual command and dispatch platform, the assessment database is integrated to form a real-time dynamic and different-dimensional safety hazard data analysis summary table.

2. According to claim 1, an automated management method for AI hidden danger identification based on national standards is characterized in that: In step S2, the visual command and dispatch platform is connected to the smart safety helmet to monitor the construction site in real time.

3. According to claim 1, an automated management method for AI hidden danger identification based on national standards is characterized in that: In step S2, based on the multiple illegal screens captured, the multiple safety hazards identified by AI monitoring, and the national standard specification database, a rectification plan legend for the corresponding safety hazards is generated.

4. According to claim 1, an automated management method for AI hidden danger identification based on national standards is characterized in that: In step S2, when safety hazards are identified by AI monitoring, they are automatically analyzed and intelligently matched according to the national standard database, and the corresponding safety hazard identification data is formed and entered into the assessment database of the command and dispatch platform.

5. According to claim 1, an automated management method for AI hidden danger identification based on national standards is characterized in that: In step S3, the assessment letter template at least includes the assessor, assessment behavior, assessment score, assessment amount and assessment time, which are automatically obtained from the assessment database.

6. According to claim 1, an automated management method for AI hidden danger identification based on national standards is characterized in that: In step S3, the assessment items include at least: violation item, violation time, violation location, violation behavior, violator, assessment score and assessment amount.

7. According to claim 6, an automated management method for AI hidden danger identification based on national standards is characterized in that: Each disciplinary violation corresponds to a different assessment score and assessment amount.

8. According to claim 1, an automated management method for AI hidden danger identification based on national standards is characterized in that: In step S3, after each violator receives the assessment letter, the assessment letter is associated with the relevant skill teaching video of the assessment behavior in the assessment letter.

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