Construction operation safety management method based on thermodynamic diagram data analysis

Abstract

The invention discloses a construction operation safety management method based on thermodynamic diagram data analysis, and the method comprises the following steps: S1, installing a sensor and a fixed camera in a key region of a construction operation site, and deploying a safety management system driven by a thermodynamic diagram to the construction operation site; s2, performing real-time monitoring and data acquisition on behaviors, object states and environment changes of each constructor in a construction site, and storing the acquired data in a database; s3, performing visualization processing on the plurality of data after standardization processing by using a thermodynamic diagram algorithm, and generating and analyzing a thermodynamic diagram of the construction operation site; and S4, based on a thermodynamic diagram analysis result, formulating a targeted management strategy and performing feedback. Through the thermodynamic diagram data analysis technology, the situation of repeated violation in the construction process can be accurately recognized, so that targeted safety management measures are implemented, the safety of construction operation is improved, and safety accidents are reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of production safety management, and in particular to a construction operation safety management method based on thermal map data analysis. Background Art

[0002] For construction work scenarios, heat maps are used to show the frequency of construction workers' activities in different areas and the concentrated areas where violations occur. Usually, heat maps are generated based on data collection, such as positioning equipment and monitoring records to obtain relevant information. Heat maps present the distribution characteristics of data in an intuitive visual way, which makes it easier for people to quickly find the concentrated points and patterns of problems.

[0003] At present, there is a tunnel construction monitoring method based on image processing. The information of construction personnel entering and exiting the tunnel and the flow information of construction personnel are obtained through image acquisition equipment. The work attributes of the corresponding construction personnel are identified based on the construction personnel information. According to the work attributes and the flow information of construction personnel, a vector flow heat map of the flow of construction personnel with different work attributes in the tunnel is created. Then, when the vector flow heat map is abnormal, the target video image information of the abnormal location is obtained, and the target video image information of the abnormal location is monitored and analyzed for human behavior. Based on the analysis results, it is judged whether there are construction hazards in the construction environment of the tunnel.

[0004] However, the current construction safety management methods contain at least the following three problems: 1) Inaccurate data collection: This construction monitoring method based on image processing uses image acquisition equipment to capture data from construction workers. However, the number of locations where image acquisition equipment is set is limited, and it is not possible to capture the behavior of construction workers in abnormal locations in a timely and accurate manner. 2) Low construction efficiency: This construction monitoring method based on image processing requires human behavior monitoring and analysis of target video image information at abnormal locations, and determines whether there are construction hazards in the tunnel construction environment based on the analysis results. It cannot timely discover the construction hazards in the construction environment and deal with the safety hazards in a timely manner, so the construction efficiency is low; 3) Lack of safety protection measures for construction workers: This construction monitoring method based on image processing does not formulate corresponding safety protection measures for different construction hazards when judging whether there are construction hazards in the tunnel construction environment. Therefore, this construction monitoring method lacks safety protection measures for construction workers. Summary of the invention

[0005] In response to the above three problems, the purpose of the present invention is to propose a construction operation safety management method based on thermal map data analysis. This method uses thermal map data analysis technology to accurately analyze the repeated violations of discipline by the same construction personnel, the safety problems of the same type of objects in different time periods, or the repeated violations of regulations in similar environments, and quickly identify the problem areas and objects, greatly improving the efficiency of safety management and the safety of construction operations, and reducing the occurrence of safety accidents.

[0006] This is achieved through the following technical solutions: A construction work safety management method based on thermal map data analysis, the method comprises the following steps: S1, installing multiple sensors and multiple fixed cameras in each key area of ​​the construction site, and each key area is installed with at least one sensor and one fixed camera, the key areas include: work area, material storage area and equipment operation area; at the same time, deploying a thermal map-driven safety management system to the construction site, wherein the safety management system comprises: a data acquisition module, a data storage module, a thermal map generation and analysis module and a strategy formulation and feedback module; S2, through the data acquisition module, real-time monitoring and data acquisition of the behavior of each construction worker, object state and environmental changes at the construction site, and storing the collected multiple data in a database in the data storage module, classifying and managing the multiple data and establishing indexes, and setting a time period, and regularly logging the data according to the time period. The database is maintained and optimized once; S3. The multiple data stored in the database are first cleaned and sorted through the heat map generation and analysis module, and then standardized. Then, the multiple data after standardization are visualized using the heat map algorithm to generate a heat map of the construction site. Then, big data analysis technology is used for intelligent analysis to automatically identify and track illegal behaviors of the same construction personnel, the same type of objects or in similar environments, and analyze their causes and patterns; S4. The heat map of the construction site is analyzed, and according to the analysis results and the real-time monitoring of the construction site conditions, targeted management strategies are formulated through the strategy formulation and feedback module, and targeted safety education is given to each construction personnel; at the same time, a fixed evaluation cycle is set, and the statistics and analysis of indicators such as the accident rate, the number of illegal operations and the rectification of safety hazards are regularly evaluated according to the evaluation cycle.

[0007] The construction work safety management method based on thermal map data analysis proposed in the present invention provides an innovative and effective way to solve the problem of repeated violations by construction personnel. By analyzing the thermal maps of construction personnel, objects and the environment, it can accurately identify repeated violations occurring during the construction process, thereby implementing targeted safety management measures to improve the safety of construction operations.

[0008] Preferably, in step S2, when multiple data are classified and managed and indexed, the multiple data are first classified into the time when the violation occurred, the location where the violation occurred, the type of violation, and the construction personnel who committed the violation, and then the multiple data in the database are sorted according to the classification to establish an index for the multiple data in the database. The collected multiple data are stored in the database, classified and managed, and indexed to facilitate subsequent data analysis and query.

[0009] Preferably, in step S3, the operations performed on the data by the standardization process at least include: data format unification and data scale normalization, wherein the data format unification includes: date data unification in a specific format, numerical data unification in decimal places, and text information contained in the data unification in a coding format; data scale normalization includes: unification of the magnitude of numerical data and unification of data units. By performing standardization on the data, it can be ensured that data from different sources and in different formats can be analyzed and compared uniformly.

[0010] Preferably, in step S3, when generating a heat map, a weight value is obtained for each data through a heat map algorithm, and data in different regions or time periods are converted into corresponding colors according to these weight values ​​and color mapping rules to obtain a heat map of the construction site. Using a heat map algorithm to visualize the standardized data and generate a heat map of the construction site can help safety managers quickly and intuitively understand the distribution and trend of disciplinary violations.

[0011] Preferably, in step S3, when using big data analysis technology for intelligent analysis, first use a feature selection algorithm to extract the operating behavior characteristics of each construction worker from multiple data after standardization, and use a machine learning algorithm to build a behavior model for each construction worker based on the operating behavior characteristics of each construction worker, and input the real-time behavior data of each construction worker into their respective behavior models for analysis and comparison; at the same time, clarify the definition and characteristic patterns of various illegal operating behaviors, and use a pattern recognition algorithm to match the abnormal behaviors monitored in real time with the characteristic patterns of illegal operating behaviors. If illegal behaviors are identified, the operating behaviors of the construction workers will be continuously tracked and analyzed. Intelligent analysis through big data analysis technology can quickly lock problem areas and objects and improve the efficiency of safety management.

[0012] Compared with the prior art, the present invention has the following beneficial effects: The technical solution of the present invention, by utilizing heat map data analysis technology, can accurately analyze the repeated disciplinary violations of the same construction personnel, the safety problems of the same type of objects in different time periods, or the repeated illegal operations in similar environments, and quickly lock in the problem areas and objects, so as to formulate and implement more targeted and effective safety management measures, greatly improving the efficiency of safety management and the safety of construction operations, reducing the occurrence of safety accidents, saving costs and improving efficiency for enterprises, and at the same time helping to promote the improvement of the safety management level of the entire construction industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 The figure is a flow chart of a construction work safety management method based on thermal map data analysis. DETAILED DESCRIPTION

[0014] 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.

[0015] like Figure 1 As shown in the figure, it is a construction safety management method based on heat map data analysis. First, sensors and fixed cameras are installed in key areas of the construction site, and the heat map-driven safety management system is deployed to the construction site; then, the behavior of each construction worker, the state of objects and environmental changes at the construction site are monitored and data collected in real time, and the collected multiple data are stored in the database; then, the heat map algorithm is used to visualize the multiple data after standardization, generate a heat map of the construction site and analyze it; finally, based on the heat map analysis results, targeted management strategies are formulated and feedback is provided.

[0016] The method specifically comprises the following steps: S1. Install multiple sensors and multiple fixed cameras in each key area of ​​the construction site, and install at least one sensor and one fixed camera in each key area. The key areas include: work area, material storage area and equipment operation area; at the same time, deploy a thermal map-driven safety management system to the construction site, where the safety management system includes: data acquisition module, data storage module, thermal map generation and analysis module and strategy formulation and feedback module.

[0017] S2. Through the data acquisition module, multiple sensors, multiple fixed cameras, and the camera of the smart helmet worn by each construction worker are used to monitor and collect data on the behavior, object status, and environmental changes of each construction worker at the construction site in real time, and the collected multiple data are stored in the database in the data storage module, and multiple data are classified and indexed. At the same time, a time period is set, and the database is regularly maintained and optimized according to the time period to ensure the storage efficiency and security of the data. Among them, when the multiple data are classified and indexed, the multiple data are first classified into the time when the violation occurred, the location where the violation occurred, the type of violation, and the construction worker who committed the violation, and then the multiple data in the database are sorted according to the classification, and the index of the multiple data in the database is established to facilitate subsequent data analysis and query; the method of maintaining and optimizing the database at least includes: index optimization, ensuring that each field frequently used for query has an index, but avoiding excessive use of indexes, and regularly reviewing and clearing indexes that are no longer used; query optimization, writing efficient query statements, avoiding the use of complex query statements, and trying to use index coverage queries to reduce the amount of data read; cache optimization, using memory cache to store frequently accessed data to reduce data input and output operations.

[0018] In this embodiment, a unified database is established in the data storage module for classifying, storing and indexing the data collected by sensors, fixed cameras and cameras of smart helmets, thereby ensuring the accuracy and completeness of the data, avoiding the generation of redundant and erroneous data, and facilitating subsequent data analysis and query. At the same time, the database is regularly maintained and optimized, which improves the performance and stability of the database and enhances the storage efficiency and security of the data.

[0019] S3. Through the heat map generation and analysis module, the multiple data stored in the database are first cleaned and sorted, redundant and erroneous data are removed, and then the data are standardized. Specifically, the operations performed on the data by the standardization process at least include: data format unification and data scale normalization, wherein the data format unification includes: date data unified specific format, numerical data unified decimal places and text information contained in the data unified coding format; data scale normalization includes: unified numerical data magnitude and unified data unit. Then, the multiple data after standardization are visualized using the heat map algorithm. During the processing, each data will obtain a weight value. According to these weight values ​​and color mapping rules, the data of different areas or time periods are converted into corresponding colors to obtain a heat map of the construction site. Then use big data analysis technology to perform intelligent analysis. First, use the feature selection algorithm to extract the work behavior characteristics of each construction worker from multiple data after standardization. Based on the work behavior characteristics of each construction worker, use the machine learning algorithm to build a personalized behavior model for each construction worker, and predict the normal work behavior patterns and rules of each construction worker through the behavior model; as new behavior data is continuously generated, the real-time behavior data of each construction worker is input into their respective behavior models for analysis and comparison, and the degree of difference between the current work behavior of each construction worker and the normal behavior pattern predicted by their respective behavior models is calculated. When the difference exceeds the predetermined threshold, it is preliminarily judged that the construction worker's work behavior may be abnormal. At the same time, the definitions and characteristic patterns of various illegal work behaviors are clarified, and the pattern recognition algorithm is used to match the abnormal behaviors monitored in real time with the characteristic patterns of illegal work behaviors. If the match is successful, the work behavior is determined to be a violation of discipline. Once the violation of discipline is identified, the safety management system will record the type, time and location of the violation, and the construction personnel who committed the violation. At the same time, the subsequent work behavior of the construction personnel will be tracked continuously, and through the continuously updated behavior data, it will be determined whether the construction personnel have repeated the same or similar violations. Among them, the characteristics of the construction personnel's work behavior include: work behavior pattern, working time distribution and work efficiency.

[0020] In this embodiment, when generating a heat map, the weight value is usually determined by factors such as the severity and frequency of the illegal operations or safety hazards represented by the data. Frequent and serious illegal operations or safety hazards correspond to higher weight values, including: construction workers failing to wear safety helmets for many times and slings being severely damaged to the scrap standard for many times in the construction environment. Occasional and relatively minor illegal operations or safety hazards correspond to lower weight values, including: construction workers occasionally failing to wear gloves and a single occurrence of unqualified or damaged slings in the environment. Based on the weight value, the color mapping rules include: areas or time periods with higher weight values ​​will be mapped to darker or brighter colors, indicating that the problem is more serious or occurs more frequently; areas or time periods with lower weight values ​​will be mapped to lighter colors, indicating that the problem is relatively minor or occurs less frequently. In this way, the heat map algorithm can present complex illegal operation and safety hazard data in the form of an intuitive visual heat map, allowing safety managers to see at a glance the distribution of illegal operation behaviors at the construction site and the trend over time, so as to quickly discover the concentrated areas and high-incidence time periods where illegal operation behaviors occur, providing favorable data support for the subsequent formulation of safety management strategies.

[0021] S4. Analyze the heat map of the construction site, and formulate targeted safety management strategies through the strategy formulation and feedback module based on the analysis results and the real-time monitoring of the construction site. The management strategies include: strengthening safety education and training for construction personnel, optimizing the operation process, improving the working environment and strengthening the supervision and inspection of operations; at the same time, conduct targeted safety education and briefing for each construction personnel, and the contents of the briefing include: the hazards of illegal operations, safe operating procedures and emergency response measures. At the same time, set a fixed evaluation cycle, and conduct a comprehensive evaluation of the accident rate, the number of illegal operations and the rectification of safety hazards according to the evaluation cycle. The effectiveness and shortcomings of safety management work are understood through the evaluation results, and then the functions and strategy contents of the safety management system are continuously adjusted and optimized to form a virtuous cycle of continuous improvement.

[0022] In this embodiment, according to the results of the heat map analysis and the actual situation of the construction site, a targeted safety management strategy is formulated through the strategy formulation and feedback module, and the formulated safety management strategy is implemented in specific work, which can strengthen the supervision and management of construction personnel, ensure that construction personnel comply with safety regulations and operating procedures, and provide targeted safety education and briefings to construction personnel, thereby enhancing the safety awareness of construction personnel from the root and further reducing the occurrence of repeated violations of discipline; at the same time, the effectiveness of safety management methods is evaluated and improved, which can strengthen the research and application of new technologies and methods, and improve the intelligence and automation level of safety management methods.

[0023] To sum up, the present invention, by utilizing heat map data analysis technology, can accurately analyze the repeated disciplinary violations of the same construction personnel, the safety problems of the same type of objects in different time periods, or the repeated illegal operations in similar environments, and quickly lock in the problem areas and objects, so as to formulate and implement more targeted and effective safety management measures, greatly improve the efficiency of safety management and the safety of construction operations, reduce the occurrence of safety accidents, save costs and improve efficiency for enterprises, and at the same time help to promote the improvement of the safety management level of the entire construction industry, which is significantly progressive.

[0024] 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. A construction operation safety management method based on heat map data analysis, characterized in that: The method comprises the following steps: S1. Install multiple sensors and multiple fixed cameras in each key area of ​​the construction site, and install at least one sensor and one fixed camera in each key area. The key areas include: work area, material storage area and equipment operation area; at the same time, deploy a safety management system driven by a heat map to the construction site, wherein the safety management system includes: a data acquisition module, a data storage module, a heat map generation and analysis module and a strategy formulation and feedback module; S2. Through the data collection module, the behavior of each construction worker, the state of objects and the environmental changes at the construction site are monitored and collected in real time, and the collected data are stored in the database in the data storage module, and the multiple data are classified, managed and indexed. At the same time, a time period is set, and the database is regularly maintained and optimized according to the time period; S3. The multiple data stored in the database are first cleaned and sorted through the thermal map generation and analysis module, and then standardized. Then, the multiple data after the standardized processing are visualized using the thermal map algorithm to generate a thermal map of the construction site. Then, the big data analysis technology is used for intelligent analysis to automatically identify and track the illegal behaviors of the same construction personnel, the same type of objects or similar environments, and analyze their causes and patterns. S4. Analyze the heat map of the construction site, and formulate targeted management strategies through the strategy formulation and feedback module based on the analysis results and real-time monitoring of the construction site conditions, and provide targeted safety education to each construction worker; at the same time, set a fixed evaluation cycle, and regularly conduct an evaluation of the accident rate, number of illegal operations, and safety hazard rectification indicators according to the evaluation cycle.

2. A construction operation safety management method based on thermal map data analysis according to claim 1, characterized in that: In step S2, when multiple data are classified and indexed, the multiple data are first classified into the time when the violation occurred, the location where the violation occurred, the type of violation, and the construction personnel who committed the violation, and then the multiple data in the database are sorted according to the classification, and an index for the multiple data in the database is established.

3. A construction operation safety management method based on thermal map data analysis according to claim 1, characterized in that: In step S3, the standardization processing operations on the data include at least: data format unification and data scale normalization, wherein data format unification includes: unified specific format of date data, unified decimal places of numerical data and unified coding format of text information contained in the data; data scale normalization includes: unified magnitude of numerical data and unified data unit.

4. A construction operation safety management method based on thermal map data analysis according to claim 1, characterized in that: In step S3, when generating a heat map, each data obtains a weight value through the heat map algorithm, and according to these weight values ​​and color mapping rules, the data of different areas or time periods are converted into corresponding colors to obtain a heat map of the construction site.

5. A construction operation safety management method based on thermal map data analysis according to claim 1, characterized in that: In step S3, when using big data analysis technology for intelligent analysis, first use a feature selection algorithm to extract the work behavior characteristics of each construction worker from multiple data after standardization processing, and use a machine learning algorithm to build a behavior model for each construction worker based on the work behavior characteristics of each construction worker. The real-time behavior data of each construction worker is input into their respective behavior models for analysis and comparison. At the same time, the definitions and characteristic patterns of various illegal work behaviors are clarified, and a pattern recognition algorithm is used to match the abnormal behaviors monitored in real time with the characteristic patterns of illegal work behaviors. If a violation is identified, the work behavior of the construction worker will be continuously tracked and analyzed.

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