CN118229044A - Building construction safety environment monitoring system and monitoring data analysis method - Google Patents
Building construction safety environment monitoring system and monitoring data analysis method Download PDFInfo
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Abstract
The invention provides a building construction safety environment monitoring system and a monitoring data analysis method, which comprises a building safety network system, wherein the working flow of the building construction safety environment monitoring system is as follows: sp1: establishing a main monitoring management system and a sub-monitoring management system; sp2: splitting areas in the sub-monitoring management system, and accessing a data acquisition system and a multi-point positioning system in each corresponding area; sp3: the collected data are connected with a data analysis system and a processing system for corresponding processing; sp4: and uploading the analysis data parameters corresponding to each region through the sub-monitoring management system. The method has the advantages that the parameters of the potential safety hazards of the building are extracted, the evaluation mechanism of the potential safety hazards of the building is built, and the safety state of the construction site is predicted, so that reliable safety conditions of the construction site can be provided for safety management personnel of the construction site in real time, subsequent management of the potential safety hazards is facilitated, the potential safety hazards can be effectively reduced, and the operation efficiency is improved.
Description
Technical Field
The invention relates to the technical field of building construction monitoring, in particular to a building construction safety environment monitoring system and a monitoring data analysis method.
Background
With the development of national economy and promotion of town, high-rise building construction engineering of China is vigorously developed. Because the construction environment of the high-rise building construction engineering has adverse factors such as open air, high altitude, cross work types and the like, the construction industry has high labor intensity, large operation difficulty coefficient, complex construction site environment and low safety consciousness of constructors, so that the construction management difficulty is high, the construction efficiency is low, safety accidents are frequent, and the construction site needs to be monitored safely in order to ensure the safety of the whole construction process.
Feature recognition is a method of transforming a set of measurements for a pattern to highlight that pattern as a representative feature. And extracting the required characteristics through image analysis and transformation. Feature extraction refers to a method and a process for extracting information belonging to features in an image by using a computer.
Patent number CN112861623A discloses a monitoring system and method for high-rise building engineering safety. The monitoring system includes: the image acquisition device is used for acquiring a construction site map of the high-rise building in real time in the current state; the image analysis device is used for carrying out image recognition on the collected construction site map, and judging whether the fire safety index, the edge protection safety index, the electricity safety index and the engineering personnel safety index of the construction site of the high-rise building meet the safety requirements or not according to the recognition result. Therefore, the intelligent identification of whether each safety index of the high-rise building construction site meets the safety requirement can be realized, the manual inspection is replaced, the high-rise building construction safety is followed in real time, the safety problem is found, the alarm is given in time, and the production safety in the high-rise building construction process is solved.
The following disadvantages are also presented for the present building safety monitoring situation and for the building safety monitoring situation in the above-mentioned patents:
1. In the aspect of building safety monitoring, the safety of personnel is mainly required to be ensured, and the safety indexes in the building are acquired aiming at the images in the above patent, and the acquisition monitoring is more required to be carried out aiming at the personnel and equipment, so that the safety of the personnel can be directly protected;
2. The current building safety monitoring condition is monitored manually, namely each monitoring point to be monitored is inspected by a monitor in a fixed period, monitoring point data is collected on site, and then manual recording is performed. The monitoring mode has poor real-time performance and low efficiency, and human factors can cause the reduction of the accuracy and reliability of the monitoring data;
3. In the existing building construction, because of the complexity and uncertainty of building work, if a complete construction organization and a safety management mechanism are not available, the hidden danger cannot be found and eliminated in time, and the safety accidents of the construction site are very easy to occur.
Disclosure of Invention
(One) solving the technical problems
Aiming at the defects of the prior art, the invention provides a building construction safety environment monitoring system and a monitoring data analysis method, which solve the problems that in the existing building construction, due to the complexity and uncertainty of building work, if a complete construction organization and safety management mechanism is not available, the safety accident situation of a construction site cannot be found and eliminated in time, and the safety accident situation is very easy to occur, meanwhile, manual monitoring is replaced, namely, a monitor patrols each monitoring point needing to be monitored in a fixed period, the data of the monitoring points are collected on site, and then an intelligent site safety monitoring system is established by using a manual recording mode by utilizing a more advanced scientific technology, people, objects and environments of the construction site are comprehensively monitored, the problems are found in time, and the safety of the constructors and the construction quality and efficiency are practically guaranteed.
(II) technical scheme
In order to achieve the above purpose, the invention is realized by the following technical scheme: the construction safety environment monitoring system based on the feature recognition comprises a construction safety environment monitoring system, wherein the working flow of the construction safety environment monitoring system is as follows:
Sp1: on the basis of the building safety network system, a main monitoring management system and a sub monitoring management system are established;
Sp2: splitting areas in the sub-monitoring management system, and accessing a data acquisition system and a multi-point positioning system in each corresponding area;
Sp3: acquiring acquired data on the basis of data acquisition and multipoint positioning, correspondingly processing the acquired data by connecting a data analysis system and a processing system, accessing a security risk prediction system, and performing primary security risk analysis on the processed data;
sp4: and uploading the analysis data parameters corresponding to each region to a master monitoring management system through a sub monitoring management system to further optimize analysis.
The construction safety environment monitoring data analysis method for the construction of the building engineering based on the feature recognition comprises the following steps of:
Sp1: on the basis of a building safety network system, collocating relevant equipment for monitoring building environment safety, and determining a monitoring technical scheme, including determining a monitoring route;
sp2: carrying out partition management, wherein each device corresponds to a corresponding monitoring area for monitoring;
Sp3: the method comprises the steps of data acquisition, wherein equipment in each partition acquires corresponding monitoring area data, positions personnel and equipment in building construction, sets a multi-point positioning system and collects personnel and equipment data;
Sp4: characteristic identification, wherein parameters for monitoring potential safety hazards of the building comprise working personnel parameters, working equipment parameters, environment influence parameters and management influence parameters;
Sp5: in the process of partition monitoring, data monitored by the partition management system are initially analyzed, and then are accessed into a safety risk early warning system, the risk index of the monitored parameters with potential safety hazards is extracted, early warning signals are sent out, and then partition monitoring parameters are reported to a total management system for accurate analysis;
sp6: the three-dimensional model is comprehensively built by combining partition information, a real-time monitoring scene is obtained, data of a monitoring area, including staff and working equipment, can be updated at intervals along with cyclic scanning, and analysis processing is carried out on the data;
sp7: and comparing and analyzing the monitoring parameters of the partition management system with the potential safety hazard index parameters accurately analyzed and monitored in the three-dimensional model, and processing the potential safety hazard index parameters.
In a further preferred embodiment, the monitoring area includes a working device, a worker and a working environment, and for each working device, there is a corresponding reference number, including a working device 1, a working device 2, a working device 3 … …, and for each worker there is a corresponding reference number, including a worker 1, a worker 2, a worker 3 … …, and for the working environment there is a working sign, and a safety reminder.
In a further preferred embodiment, the staff parameters include working status, working trend and dangerous actions, the working equipment parameters include safety protection conditions, equipment operation conditions and equipment stability of the construction process, the environment influence parameters include natural environment, construction operation environment and construction surrounding environment, and the management influence includes partition management conditions, total area management conditions and hidden danger management conditions.
In a further preferred mode, the feature identification adopts a three-dimensional laser scanner to comprehensively scan the building site, and the full-view feature formed by the dot line and the plane is finally obtained by recording three-dimensional coordinates, reflectivity and texture information of a large number of dense points on the surface of the scanned object.
In a further preferred embodiment, the feature recognition process is to perform preliminary extraction of features of the target source, multiply the preliminary extracted features with corresponding filters to obtain main features, perform partition sampling on the target source according to the main features, determine the target features by comparing the target features with a sample model, perform feature analysis, determine potential safety hazards of the target features, and perform risk marking.
In a further preferred aspect, the multi-point positioning system sets a plurality of monitoring base stations for each monitoring area, scans and positions the plurality of monitoring base stations simultaneously, updates the position information, and also performs video tracking on the staff in linkage with the video.
In a further preferred aspect, the partition and the total area obtain potential safety hazard monitoring parameters for comparison, and if the parameters are consistent, the monitoring parameters with potential safety hazard need to be processed; if the potential safety hazard parameters analyzed in the three-dimensional model are more than the potential safety hazard monitoring parameters in the corresponding partition management, signal early warning and processing are needed to be carried out on the monitoring parameters beyond partition early warning; if the potential safety hazard parameters analyzed in the three-dimensional model are less than the potential safety hazard monitoring parameters in the corresponding partition management, the error early warning occurs in the partition management early warning, and the error early warning is cancelled.
In a further preferred embodiment, the parameter extraction process for monitoring the potential safety hazard of the building includes: determining monitoring indexes, monitoring methods and monitoring parameters, recording monitoring data, processing and analyzing the data, making corresponding measures and implementing implementation to determine the monitoring effect.
In a further preferred embodiment, the monitoring index is determined, a suitable monitoring method is selected according to the monitoring index, corresponding monitoring parameters are required to be set according to the specific monitoring method, recording and storing of potential safety hazard data are started according to the set monitoring parameters, timely and accurately acquiring the monitoring data are ensured, the acquired data are processed and analyzed, the possibility and the grade of the potential safety hazard are identified, the cause of the potential safety hazard is found, corresponding safety measures including technical measures, management measures, personnel behavior measures and the like are formulated according to the analysis result, so that the occurrence of the potential safety hazard is avoided or reduced, corresponding measures are implemented for different potential safety hazards according to the formulated scheme, the problems are found and processed in time, meanwhile, the implementation effect of the measures is evaluated, and optimization and improvement are performed according to the monitoring result.
(III) beneficial effects
The invention provides a crane emergency rescue control method and system. The beneficial effects are as follows:
1. According to the invention, the building site is comprehensively scanned by using the three-dimensional laser scanner, the full-view characteristics formed by the dot lines and the planes are finally obtained by recording the three-dimensional coordinates, the reflectivity and the texture information of a large number of dense points on the surface of the scanned object, then a three-dimensional model is built, a real-time monitoring scene is obtained, the data of the monitoring scene, including staff and working equipment, can be updated at intervals along with the cyclic scanning, and the data are analyzed and processed, so that the real-time positioning and the safety monitoring analysis of the staff and the working equipment can be realized, and the safety of the staff and the working equipment is ensured.
2. The invention establishes a safety risk prediction system, combines a general monitoring management system and a branch monitoring management system, establishes an integrated management cloud platform, utilizes the wireless internet of things technology and the internet of things sensing and control equipment to monitor the construction site in real time, performs data acquisition and centralized management on the construction site, forms a complete and unified monitoring management platform, can realize the extraction of parameters of potential safety hazards of a building, the establishment of an evaluation mechanism of the potential safety hazards of the building and the prediction of the safety state of the construction site, can provide reliable safety conditions of the construction site for safety management personnel of building construction in real time, is convenient for the management of subsequent potential safety hazards, can effectively reduce the potential safety hazards and improve the operation efficiency.
3. According to the invention, the characteristic recognition is carried out on staff, working environment and working equipment, the primary extraction of the characteristic is carried out on the target source, the primary characteristic is obtained by multiplying the primary extracted characteristic with the corresponding filter, the target source is sampled in a partitioned mode according to the primary characteristic, the target characteristic is judged by comparing with a sample model, then the characteristic analysis is carried out, whether the target characteristic has potential safety hazard or not is determined, the risk marking is carried out, the risk judgment and recognition can be accurately carried out on a real object in a construction site, and the safety accident is reduced.
Drawings
FIG. 1 is an overall flow chart of the present invention;
FIG. 2 is a diagram of a monitoring area structure of the present invention;
FIG. 3 is a flow chart of the correction of parameters of potential safety hazard according to the present invention;
fig. 4 is a block diagram of the feature recognition parameters of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Detailed description of the preferred embodiments
The construction safety environment monitoring system based on the feature recognition comprises a construction safety environment monitoring system, wherein the working flow of the construction safety environment monitoring system is as follows:
Sp1: on the basis of the building safety network system, a main monitoring management system and a sub monitoring management system are established;
Sp2: splitting areas in the sub-monitoring management system, and accessing a data acquisition system and a multi-point positioning system in each corresponding area; the multipoint positioning system is characterized in that a plurality of monitoring base stations are set for each monitoring area, the plurality of base stations are used for scanning and positioning at the same time, position information is updated, and video tracking is carried out on workers in a linkage mode.
Sp3: acquiring acquired data on the basis of data acquisition and multipoint positioning, correspondingly processing the acquired data by connecting a data analysis system and a processing system, accessing a security risk prediction system, and performing primary security risk analysis on the processed data;
sp4: and uploading the analysis data parameters corresponding to each region to a master monitoring management system through a sub monitoring management system to further optimize analysis.
The method comprises the steps of establishing a safety risk prediction system, combining a general monitoring management system and a branch monitoring management system, establishing an integrated management cloud platform, utilizing a wireless internet of things technology and internet of things sensing and control equipment to monitor construction sites in real time, carrying out data acquisition and centralized management on the construction sites, forming a complete and unified monitoring management platform, extracting parameters of potential safety hazards of a building, establishing a potential safety hazard evaluation mechanism of the building, predicting the safety state of the construction sites, providing reliable safety conditions of the construction sites for safety management personnel of building construction in real time, facilitating management of subsequent potential safety hazards, effectively reducing the potential safety hazards and improving the operation efficiency.
Second embodiment
The construction safety environment monitoring data analysis method for the construction of the building engineering based on the feature recognition comprises the following steps of:
Sp1: on the basis of a building safety network system, collocating relevant equipment for monitoring building environment safety, and determining a monitoring technical scheme, including determining a monitoring route;
Sp2: carrying out partition management, wherein each device corresponds to a corresponding monitoring area for monitoring; the monitoring area comprises working equipment, working personnel and working environments, wherein each working equipment is provided with corresponding marks, each working equipment comprises working equipment 1, working equipment 2 and working equipment 3 … …, each working personnel is provided with corresponding marks, each working equipment comprises working personnel 1, working personnel 2 and working personnel 3 … …, and each working environment comprises a working indication board and a safety prompt.
Sp3: the method comprises the steps of data acquisition, wherein equipment in each partition acquires corresponding monitoring area data, positions personnel and equipment in building construction, and collects personnel and equipment data; the real-time positioning and the safety monitoring analysis of the staff and the working equipment can be realized, and the safety of the staff and the working equipment is ensured.
Sp4: characteristic recognition, including staff parameters, working equipment parameters, environmental impact parameters and management impact parameters; the feature recognition adopts a three-dimensional laser scanner to comprehensively scan the building site, and finally obtains the full-view feature formed by the dotted line and the plane by recording three-dimensional coordinates, reflectivity and texture information of a large number of dense points on the surface of the scanned object.
The UWB positioning technology is utilized to update the position information in real time, the positioning accuracy and the positioning precision are improved, the BIM technology is utilized to assist the engineering technology to quickly and automatically acquire the real construction information of the construction site, the NBIOT technology in the Internet of things is utilized to connect the honeycomb data, the power consumption is reduced, and the large-scale coverage is realized.
Sp5: in the process of partition monitoring, data monitored by the partition management system are initially analyzed, and then are accessed into a safety risk early warning system, the risk index of the monitored parameters with potential safety hazards is extracted, early warning signals are sent out, and then partition monitoring parameters are reported to a total management system for accurate analysis;
Sp6: the three-dimensional model is comprehensively built by combining partition information, a real-time monitoring scene is obtained, data of the monitoring scene, including staff and working equipment, can be updated at intervals along with cyclic scanning, and analysis processing is carried out on the data;
Sp7: and comparing and analyzing the monitoring parameters of the partition management system with the safety hidden danger monitoring parameters accurately analyzed in the three-dimensional model, and processing the safety hidden danger monitoring parameters. The subarea and the total area obtain potential safety hazard monitoring parameters for comparison, and if the parameters are consistent, the monitoring parameters with potential safety hazard are required to be processed; if the potential safety hazard parameters analyzed in the three-dimensional model are more than the potential safety hazard monitoring parameters in the corresponding partition management, signal early warning and processing are needed to be carried out on the monitoring parameters beyond partition early warning; if the potential safety hazard parameters analyzed in the three-dimensional model are less than the potential safety hazard monitoring parameters in the corresponding partition management, the error early warning occurs in the partition management early warning, and the error early warning is cancelled.
The working personnel parameters comprise working states, working trends and dangerous actions, the working equipment parameters comprise safety protection conditions, equipment operation conditions and equipment stability in a construction process, the environment influence parameters comprise natural environments, construction operation environments and construction surrounding environments, and the management influence comprises partition management conditions, total area management conditions and hidden danger management conditions.
The feature recognition process is to perform preliminary extraction of features on a target source, multiply the preliminary extracted features with corresponding filters to obtain main features, perform regional sampling on the target source according to the main features, judge the target features by comparing the target features with a sample model, perform feature analysis, determine potential safety hazards of the target features, and perform risk marking.
Detailed description of the preferred embodiments
The parameter extraction process for monitoring the potential safety hazards of the building comprises the following steps:
determining monitoring indexes, monitoring methods and monitoring parameters, recording monitoring data, processing and analyzing the data, formulating corresponding measures and implementing implementation to determine monitoring effects;
S1: the determined monitoring indexes are such as falling in a high place, electric shock and fire disaster;
s2: selecting a proper monitoring method according to the monitoring index;
S3: corresponding monitoring parameters are required to be set for a specific monitoring method;
S4: recording and storing potential safety hazard data are started according to the set monitoring parameters, so that monitoring data can be timely and accurately acquired;
s5: processing and analyzing the acquired data, identifying the possibility and the grade of the potential safety hazard, and searching the cause of the potential safety hazard;
S6: according to the analysis result, corresponding safety measures including technical measures, management measures, personnel behavior measures and the like are formulated so as to avoid or reduce the occurrence of potential safety hazards;
S7: according to the formulated scheme, corresponding measures are implemented aiming at different potential safety hazards, monitoring is carried out, problems existing in the problems are found and processed in time, meanwhile, the implementation effect of the measures is evaluated, and optimization and improvement are carried out according to the monitoring result.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a reference structure" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. The utility model provides a building engineering construction safety environment monitored control system based on feature recognition, includes building construction safety environment monitored control system, its characterized in that: the working flow of the building construction safety environment monitoring system is as follows:
Sp1: on the basis of the building safety network system, a main monitoring management system and a sub monitoring management system are established;
Sp2: splitting areas in the sub-monitoring management system, and accessing a data acquisition system and a multi-point positioning system in each corresponding area;
Sp3: acquiring acquired data on the basis of data acquisition and multipoint positioning, correspondingly processing the acquired data by connecting a data analysis system and a processing system, accessing a security risk prediction system, and performing primary security risk analysis on the processed data;
sp4: and uploading the analysis data parameters corresponding to each region to a master monitoring management system through a sub monitoring management system to further optimize analysis.
2. A construction safety environment monitoring data analysis method based on feature recognition is characterized in that: the construction safety environment monitoring data analysis method for the building engineering comprises the following steps:
Sp1: on the basis of a building safety network system, collocating relevant equipment for monitoring building environment safety, and determining a monitoring technical scheme, including determining a monitoring route;
sp2: carrying out partition management, wherein each device corresponds to a corresponding monitoring area for monitoring;
Sp3: the method comprises the steps of data acquisition, wherein equipment in each partition acquires corresponding monitoring area data, positions personnel and equipment in building construction, sets a multi-point positioning system and collects personnel and equipment data;
Sp4: characteristic identification, wherein parameters for monitoring potential safety hazards of the building comprise working personnel parameters, working equipment parameters, environment influence parameters and management influence parameters;
Sp5: in the process of partition monitoring, data monitored by the partition management system are initially analyzed, and then are accessed into a safety risk early warning system, the risk index of the monitored parameters with potential safety hazards is extracted, early warning signals are sent out, and then partition monitoring parameters are reported to a total management system for accurate analysis;
sp6: the three-dimensional model is comprehensively built by combining partition information, a real-time monitoring scene is obtained, data of a monitoring area, including staff and working equipment, can be updated at intervals along with cyclic scanning, and analysis processing is carried out on the data;
sp7: and comparing and analyzing the monitoring parameters of the partition management system with the potential safety hazard index parameters accurately analyzed and monitored in the three-dimensional model, and processing the potential safety hazard index parameters.
3. The method for analyzing the construction safety environment monitoring data of the building engineering based on the feature recognition according to claim 2, wherein the method comprises the following steps: the monitoring area comprises working equipment, working personnel and working environments, wherein each working equipment is provided with corresponding marks, each working equipment comprises working equipment 1, working equipment 2 and working equipment 3 … …, each working personnel is provided with corresponding marks, each working equipment comprises working personnel 1, working personnel 2 and working personnel 3 … …, and each working environment comprises a working indication board and a safety prompt.
4. The method for analyzing the construction safety environment monitoring data of the building engineering based on the feature recognition according to claim 2, wherein the method comprises the following steps: the working personnel parameters comprise working states, working trends and dangerous actions, the working equipment parameters comprise safety protection conditions, equipment operation conditions and equipment stability in a construction process, the environment influence parameters comprise natural environments, construction operation environments and construction surrounding environments, and the management influence comprises partition management conditions, total area management conditions and hidden danger management conditions.
5. The method for analyzing the construction safety environment monitoring data of the building engineering based on the feature recognition according to claim 2, wherein the method comprises the following steps: the feature recognition adopts a three-dimensional laser scanner to comprehensively scan the building site, and finally obtains the full-view feature formed by the dotted line and the plane by recording three-dimensional coordinates, reflectivity and texture information of a large number of dense points on the surface of the scanned object.
6. The method for analyzing the construction safety environment monitoring data of the building engineering based on the feature recognition according to claim 2, wherein the method comprises the following steps: the feature recognition process is to perform preliminary extraction of features on a target source, multiply the preliminary extracted features with corresponding filters to obtain main features, perform regional sampling on the target source according to the main features, judge the target features by comparing the target features with a sample model, perform feature analysis, determine potential safety hazards of the target features, and perform risk marking.
7. The method for analyzing the construction safety environment monitoring data of the building engineering based on the feature recognition according to claim 2, wherein the method comprises the following steps: the multipoint positioning system is characterized in that a plurality of monitoring base stations are set for each monitoring area, the plurality of base stations are used for scanning and positioning at the same time, position information is updated, and video tracking is carried out on workers in a linkage mode.
8. The method for analyzing the construction safety environment monitoring data of the building engineering based on the feature recognition according to claim 2, wherein the method comprises the following steps: the subarea and the total area obtain potential safety hazard monitoring parameters for comparison, and if the parameters are consistent, the monitoring parameters with potential safety hazard are required to be processed; if the potential safety hazard parameters analyzed in the three-dimensional model are more than the potential safety hazard monitoring parameters in the corresponding partition management, signal early warning and processing are needed to be carried out on the monitoring parameters beyond partition early warning; if the potential safety hazard parameters analyzed in the three-dimensional model are less than the potential safety hazard monitoring parameters in the corresponding partition management, the error early warning occurs in the partition management early warning, and the error early warning is cancelled.
9. The method for analyzing the construction safety environment monitoring data of the building engineering based on the feature recognition according to claim 2, wherein the method comprises the following steps: the parameter extraction process for monitoring the potential safety hazards of the building comprises the following steps: determining monitoring indexes, monitoring methods and monitoring parameters, recording monitoring data, processing and analyzing the data, making corresponding measures and implementing implementation to determine the monitoring effect.
10. The method for analyzing the construction safety environment monitoring data based on the feature recognition, according to claim 9, is characterized in that: the method comprises the steps of determining monitoring indexes, selecting a proper monitoring method according to the monitoring indexes, setting corresponding monitoring parameters according to the specific monitoring method, starting to record and store potential safety hazard data according to the set monitoring parameters, ensuring that the monitoring data can be timely and accurately acquired, processing and analyzing the acquired data, identifying the possibility and the grade of the potential safety hazard, searching for the reason causing the potential safety hazard, formulating corresponding safety measures including technical measures, management measures, personnel behavior measures and the like according to analysis results, avoiding or reducing the occurrence of the potential safety hazard, implementing corresponding measures according to the formulated scheme for different potential safety hazards, monitoring, timely finding and processing the existing problems, evaluating the implementation effect of the measures, and optimizing and improving according to the monitoring results.
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