CN118934060A - A safety monitoring method, device, medium and product for tunnel construction - Google Patents
A safety monitoring method, device, medium and product for tunnel construction Download PDFInfo
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21F—SAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
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Abstract
本申请涉及安全监控的技术领域，尤其是涉及一种隧道施工的安全监测方法、设备、介质和产品，方法包括：基于隧道设计文件和施工安全规范进行监控目标分析，确定安全监测目标。然后，基于安全监测目标和隧道设计文件进行传感器部署分析，并将传感器部署信息发送至安装人员移动终端。根据隧道设计文件和安全监测目标科学部署传感器，确保监测点位覆盖全面且合理，提高了监测数据的准确性和可靠性。当检测到传感器部署完成指令时，实时获取每一传感器发出的传感器数据，基于每一传感器数据进行施工安全分析，确定环境安全监测结果。实时获取传感器数据并进行施工安全分析，能够快速响应施工过程中的安全隐患，提高了隧道施工安全监测的效率和准确性。
The present application relates to the technical field of safety monitoring, and in particular to a safety monitoring method, equipment, medium and product for tunnel construction. The method includes: performing monitoring target analysis based on tunnel design documents and construction safety specifications to determine the safety monitoring target. Then, performing sensor deployment analysis based on the safety monitoring target and tunnel design documents, and sending the sensor deployment information to the installer's mobile terminal. Scientifically deploy sensors according to tunnel design documents and safety monitoring targets to ensure that monitoring points are fully and reasonably covered, thereby improving the accuracy and reliability of monitoring data. When a sensor deployment completion instruction is detected, the sensor data emitted by each sensor is obtained in real time, and a construction safety analysis is performed based on each sensor data to determine the environmental safety monitoring results. Real-time acquisition of sensor data and construction safety analysis can quickly respond to safety hazards during the construction process, thereby improving the efficiency and accuracy of tunnel construction safety monitoring.
Description
Technical Field
The application relates to the technical field of safety monitoring, in particular to a safety monitoring method, equipment, medium and product for tunnel construction.
Background
With the acceleration of the urban process and the rapid development of infrastructure construction, tunnels, as an important component of modern traffic infrastructure, play a key role in overcoming geographical obstacles in complex terrains, especially mountainous and urban areas. The tunnel not only can obviously shorten the travel distance of roads and railways, but also can effectively improve the connectivity of a subway system and the efficiency of the whole traffic flow. However, potential safety hazards existing in the tunnel construction process cannot be ignored, and particularly, the construction safety problem is directly related to the life safety and engineering progress of constructors.
Currently, tunnel construction safety detection mainly depends on manual inspection and traditional monitoring means, such as regular measurement of tunnel surfaces through measuring instruments or real-time monitoring of tunnel interiors through video monitoring systems. However, the traditional tunnel construction safety monitoring method needs manual inspection, so that the safety detection efficiency is low, meanwhile, only the information on the surface of the tunnel is acquired, and the structural state and potential safety hazards inside the tunnel are difficult to comprehensively reflect.
Thus, how to improve the efficiency and accuracy of the safety monitoring of tunnel construction is a problem to be solved by those skilled in the art.
Disclosure of Invention
The application aims to provide a safety monitoring method, equipment, medium and product for tunnel construction, which are used for solving at least one technical problem.
The above object of the present application is achieved by the following technical solutions:
in a first aspect, the present application provides a method for monitoring safety of tunnel construction, which adopts the following technical scheme:
a safety monitoring method for tunnel construction comprises the following steps:
Acquiring a tunnel design file and a construction safety specification, and analyzing a monitoring target based on the tunnel design file and the construction safety specification to determine a safety monitoring target;
performing sensor deployment analysis based on the safety monitoring target and the tunnel design file, and determining sensor deployment information, wherein the sensor deployment information comprises: sensor type, sensor specification, sensor installation information;
The sensor deployment information is sent to an installer mobile terminal, so that the installer can complete the deployment operation of all sensors according to the sensor deployment information;
when a sensor deployment completion instruction is detected, sensor data sent by each sensor are acquired in real time, construction safety analysis is carried out based on each sensor data, and an environmental safety monitoring result is determined.
By adopting the technical scheme, the tunnel design file and the construction safety standard are acquired, the monitoring target analysis is carried out based on the tunnel design file and the construction safety standard, and the safety monitoring target is determined. And then, carrying out sensor deployment analysis based on the safety monitoring target and the tunnel design file, determining sensor deployment information, and sending the sensor deployment information to an installer mobile terminal so that the installer can complete the deployment operation of all the sensors according to the sensor deployment information. The sensor is scientifically deployed according to the tunnel design file and the safety monitoring target, so that comprehensive and reasonable coverage of monitoring points is ensured, various safety indexes in the tunnel construction process can be accurately reflected, and the accuracy and reliability of monitoring data are improved. When a sensor deployment completion instruction is detected, sensor data sent by each sensor are acquired in real time, construction safety analysis is carried out based on each sensor data, and an environmental safety monitoring result is determined. Sensor data are acquired in real time and construction safety analysis is carried out, potential safety hazards in the construction process can be responded quickly, and efficiency and accuracy of tunnel construction safety monitoring are improved.
The present application may be further configured in a preferred example to: after the sensor data sent by each sensor are obtained in real time, the method further comprises the following steps:
Acquiring a tunnel construction site image, and carrying out construction operation identification based on the tunnel construction site image to obtain construction operation corresponding to constructors;
And carrying out operation safety assessment based on the construction operation and the construction safety specification, and determining an operation safety monitoring result.
The present application may be further configured in a preferred example to: and after the construction safety analysis is performed based on each sensor data and the environmental safety monitoring result is determined, the method further comprises the steps of:
performing monitoring result synthesis based on the environmental safety monitoring result and the operation safety monitoring result, and determining a target safety monitoring result;
when the target safety monitoring result is abnormal, carrying out risk assessment based on abnormal data to determine tunnel risk information, wherein the abnormal data are data with abnormal conditions determined in operation safety assessment and/or construction safety analysis;
performing emergency measure analysis based on the tunnel risk information, and determining a target emergency measure;
and when the target safety monitoring result is normal, classifying and storing the sensor data and the tunnel construction site image acquired in real time so as to improve the data retrieval speed when a query request exists later.
The present application may be further configured in a preferred example to: the emergency measure analysis is performed based on the tunnel risk information, and after the target emergency measure is determined, the method further comprises the following steps:
Screening intelligent robots based on the tunnel risk information, and determining a target intelligent robot;
And performing intelligent operation analysis based on the target emergency measures, determining working information corresponding to the target intelligent robot, and controlling the target intelligent robot to perform intelligent operation according to the working information so as to reduce the operation risk of constructors.
The present application may be further configured in a preferred example to: the sensor deployment analysis is performed based on the safety monitoring target and the tunnel design file, and after the sensor deployment information is determined, the method further comprises the following steps:
Building a model based on the tunnel design file to obtain a tunnel three-dimensional model, and integrating sensors on the tunnel three-dimensional model based on the sensor deployment information to obtain a monitoring three-dimensional model;
And performing field simulation in the monitoring three-dimensional model based on the sensor specification and the sensor type in the sensor deployment information, and performing deployment analysis based on a coverage area corresponding to the field simulation to obtain a sensor deployment report.
The present application may be further configured in a preferred example to: the construction safety analysis is performed based on each sensor data, and the environmental safety monitoring result is determined, which comprises the following steps:
Performing fusion operation based on each sensor data to obtain fusion sensor data, wherein the fusion operation is used for accurately and comprehensively characterizing the current safety condition of tunnel construction;
Extracting features based on the fused sensor data to obtain safety analysis evaluation features;
and acquiring a construction safety analysis model, inputting the safety analysis evaluation characteristics into the construction safety analysis model, and determining the output result of the construction safety analysis model as an environmental safety monitoring result.
In a second aspect, the present application provides an electronic device, which adopts the following technical scheme:
At least one processor;
A memory;
At least one application program, wherein the at least one application program is stored in the memory and configured to be executed by the at least one processor, the at least one application program configured to: and executing the safety monitoring method for tunnel construction.
In a third aspect, the present application provides a computer readable storage medium, which adopts the following technical scheme:
A computer-readable storage medium having stored thereon a computer program which, when executed in a computer, causes the computer to perform the above-described method of safety monitoring of tunnel construction.
In a fourth aspect, the present application provides a computer program product, which adopts the following technical scheme:
A computer program product comprising a computer program which when executed by a processor implements the above-described method of safety monitoring of tunnel construction.
In summary, the present application includes at least one of the following beneficial technical effects:
And acquiring a tunnel design file and a construction safety specification, analyzing a monitoring target based on the tunnel design file and the construction safety specification, and determining a safety monitoring target. And then, carrying out sensor deployment analysis based on the safety monitoring target and the tunnel design file, determining sensor deployment information, and sending the sensor deployment information to an installer mobile terminal so that the installer can complete the deployment operation of all the sensors according to the sensor deployment information. The sensor is scientifically deployed according to the tunnel design file and the safety monitoring target, so that comprehensive and reasonable coverage of monitoring points is ensured, various safety indexes in the tunnel construction process can be accurately reflected, and the accuracy and reliability of monitoring data are improved. When a sensor deployment completion instruction is detected, sensor data sent by each sensor are acquired in real time, construction safety analysis is carried out based on each sensor data, and an environmental safety monitoring result is determined. Sensor data are acquired in real time and construction safety analysis is carried out, potential safety hazards in the construction process can be responded quickly, and efficiency and accuracy of tunnel construction safety monitoring are improved.
The method comprises the steps of obtaining a tunnel construction site image, carrying out construction operation identification based on the tunnel construction site image, obtaining construction operation corresponding to constructors, carrying out operation safety assessment based on the construction operation and construction safety standards, and determining an operation safety monitoring result. The operation behaviors of constructors are identified, unsafe behaviors can be found and corrected in time, construction accidents are prevented, problems in construction are found and solved in time, and engineering quality and progress are guaranteed.
Drawings
FIG. 1 is a schematic flow chart of a method for monitoring safety of tunnel construction according to an embodiment of the application;
FIG. 2 is a schematic structural diagram of a safety monitoring device for tunnel construction according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the application.
Detailed Description
The application is described in further detail below in connection with fig. 1 to 3.
The present embodiment is merely illustrative of the present application and is not intended to limit the present application, and those skilled in the art, after having read the present specification, may make modifications to the present embodiment without creative contribution as necessary, but are protected by patent laws within the scope of the present application.
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application. It should be noted that, in the alternative embodiment of the present application, related data such as object information is required to obtain permission or consent of the object when the embodiment of the present application is applied to a specific product or technology, and the collection, use and processing of related data are required to comply with related laws and regulations and standards of related countries and regions. That is, in the embodiment of the present application, if data related to the object is involved, the data needs to be acquired through the approval of the object, the approval of the related department, and the compliance with the related laws and regulations and standards of the country and region. In the embodiment, for example, the personal information is involved, the acquisition of all the personal information needs to obtain the personal consent, for example, the sensitive information is involved, the individual consent of the information body needs to be obtained, and the embodiment also needs to be implemented under the condition of the authorized consent of the object.
In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In this context, unless otherwise specified, the term "/" generally indicates that the associated object is an "or" relationship.
Embodiments of the application are described in further detail below with reference to the drawings.
The embodiment of the application provides a safety monitoring method for tunnel construction, which is executed by electronic equipment, wherein the electronic equipment can be a server or terminal equipment, and the server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server for providing cloud computing service. The terminal device may be a smart phone, a tablet computer, a notebook computer, a desktop computer, or the like, but is not limited thereto, and the terminal device and the server may be directly or indirectly connected through a wired or wireless communication manner, as shown in fig. 1, the method includes steps S101, S102, S103, and S104, where:
step S101: and acquiring a tunnel design file and a construction safety specification, analyzing a monitoring target based on the tunnel design file and the construction safety specification, and determining a safety monitoring target.
For embodiments of the present application, tunnel design files and construction safety specifications are obtained, the tunnel design files typically being provided by a design entity or owner entity, including but not limited to: tunnel design drawings, geological survey reports, structural design descriptions and the like, wherein the tunnel design files describe key information such as the geometric dimensions, structural design, material selection, construction process, geological conditions and the like of tunnels in detail. The construction safety specification is generally issued by industry authorities or standardization organizations, and the specification comprises the contents of safety requirements, operation regulations, protective measures, emergency treatment and the like in the tunnel construction process. Further, the monitoring target analysis is performed based on the tunnel design file and the construction safety specification, and the safety monitoring target is determined, namely, various safety risks possibly encountered in the construction process are foreseen through in-depth analysis of the tunnel design file and the construction safety specification, so that the safety monitoring target and the parameter index are set in a targeted manner. For example, security monitoring targets include, but are not limited to: tunnel surrounding rock stability, supporting structure stress condition, underground water pressure change, construction machinery operation safety and the like, and parameter indexes include but are not limited to: surrounding rock deformation, supporting structure stress value, groundwater pressure, etc. Through analyzing the tunnel design file and the construction safety standard, the possible safety risk points facing in the tunnel construction process can be identified, so that the safety monitoring target and the parameter index are set in a targeted manner, the monitoring work is focused on the key field, and the effectiveness and the pertinence of the safety monitoring are improved.
Step S102: sensor deployment analysis is performed based on the safety monitoring target and the tunnel design file, and sensor deployment information is determined, wherein the sensor deployment information comprises: sensor type, sensor specification, sensor installation information;
Step S103: and sending the sensor deployment information to an installer mobile terminal so that the installer can complete the deployment operation of all the sensors according to the sensor deployment information.
For the embodiment of the application, sensor deployment analysis is performed based on the safety monitoring target and the tunnel design file to determine sensor deployment information, specifically, the sensor types meeting the requirements are selected according to the safety monitoring target, and because the monitoring dimensions and the monitoring key points of different sensor types are different, the corresponding relation between the monitoring target and the sensor types is prestored in the electronic equipment, so that the sensor types can be rapidly and accurately determined based on the safety monitoring target, for example, a displacement sensor is used for monitoring the displacement change of the tunnel structure; the stress-strain sensor is used for monitoring the stress-strain state of the supporting structure; the environment monitoring sensor is used for monitoring air quality, noise, vibration and the like in the construction environment; the construction machine monitoring sensor is used for monitoring the operation state of the construction machine. After determining that the sensor type is completed, determining a sensor specification based on the monitoring requirements in the tunnel design file and a specification table corresponding to the sensor, wherein the sensor specification includes, but is not limited to: the sensor measures operations such as range, precision, stability, durability and the like. Furthermore, based on the tunnel design file and the safety monitoring target, the installation position of the sensor is determined, so that the state of tunnel construction can be accurately reflected after the sensor is installed, the tunnel construction and maintenance are facilitated, for example, a stress strain sensor is installed at a key position of the tunnel lining to monitor the stress condition of the sensor; an environment monitoring sensor is installed at the tunnel portal to monitor the safety condition of the construction environment. Meanwhile, a proper installation mode can be determined according to the type and the specification of the sensor, the installation mode should ensure that the sensor can work stably and reliably and reduce external interference, for example, a fixed bracket or embedded installation can be adopted for a displacement sensor, and on the basis, the wiring and communication modes of the sensor can be planned, including but not limited to: cable run of the sensor, joint location, communication protocol, etc. Finally, the mounting position, mounting mode, wiring and communication mode of the integrated sensor are determined as sensor mounting information.
After that, the sensor deployment information is sent to the installer mobile terminal, so that the installer can complete the deployment operation of all the sensors according to the sensor deployment information. The sensor is scientifically deployed according to the tunnel design file and the safety monitoring target, so that comprehensive and reasonable coverage of monitoring points is ensured, various safety indexes in the tunnel construction process can be accurately reflected, and the accuracy and reliability of monitoring data are improved.
Step S104: when a sensor deployment completion instruction is detected, sensor data sent by each sensor are acquired in real time, construction safety analysis is carried out based on each sensor data, and an environmental safety monitoring result is determined.
For the embodiment of the application, when the sensor deployment completion instruction is detected, the sensor is characterized as being deployed at the tunnel construction site, a corresponding data communication interface is configured for each sensor type, and stable data communication is established between the electronic equipment and the sensor, so that the operation purpose of acquiring the sensor data sent by each sensor in real time is achieved. Of course, the collected sensor data may also be stored in a database for subsequent analysis and querying, with a distributed database or an inter-sequence database being utilized to optimize the storage of large amounts of data for improved data querying performance. Furthermore, construction safety analysis is performed based on each sensor data, an environmental safety monitoring result is determined, and various modes for construction safety analysis are provided, so that the embodiment of the application is not limited. In one implementation manner, a standard range is set for each sensor data in the electronic device, matching is performed based on the sensor data and the corresponding standard range, if the sensor data which is not in the standard range exists, the environmental safety monitoring result is determined to be environmental safety abnormality, otherwise, the environmental safety monitoring result is determined to be environmental safety normal. In another implementation manner, fusion operation is performed based on each sensor data to obtain fusion sensor data, wherein the fusion operation is used for accurately and comprehensively characterizing the current safety condition of tunnel construction; extracting features based on the fused sensor data to obtain safety analysis evaluation features; and acquiring a construction safety analysis model, inputting safety analysis evaluation characteristics into the construction safety analysis model, and determining an output result of the construction safety analysis model as an environmental safety monitoring result. Different types of sensors are deployed in the tunnel construction environment in advance, sensor data are acquired in real time, construction safety analysis is carried out, potential safety hazards in the construction process can be responded rapidly, and efficiency and accuracy of tunnel construction safety monitoring are improved.
Therefore, in the embodiment of the application, the tunnel design file and the construction safety standard are acquired, and the monitoring target analysis is performed based on the tunnel design file and the construction safety standard to determine the safety monitoring target. And then, carrying out sensor deployment analysis based on the safety monitoring target and the tunnel design file, determining sensor deployment information, and sending the sensor deployment information to an installer mobile terminal so that the installer can complete the deployment operation of all the sensors according to the sensor deployment information. The sensor is scientifically deployed according to the tunnel design file and the safety monitoring target, so that comprehensive and reasonable coverage of monitoring points is ensured, various safety indexes in the tunnel construction process can be accurately reflected, and the accuracy and reliability of monitoring data are improved. When a sensor deployment completion instruction is detected, sensor data sent by each sensor are acquired in real time, construction safety analysis is carried out based on each sensor data, and an environmental safety monitoring result is determined. Sensor data are acquired in real time and construction safety analysis is carried out, potential safety hazards in the construction process can be responded quickly, and efficiency and accuracy of tunnel construction safety monitoring are improved.
Further, in order to discover and correct unsafe behavior in time and prevent construction accidents, in the embodiment of the present application, after acquiring sensor data sent by each sensor in real time, the method further includes:
Acquiring a tunnel construction site image, and carrying out construction operation identification based on the tunnel construction site image to obtain construction operation corresponding to constructors;
and carrying out operation safety assessment based on construction operation and construction safety specifications, and determining an operation safety monitoring result.
For the embodiment of the application, the operation behaviors of constructors have direct influence on construction safety, and in the safety monitoring process of tunnel construction, the operation behaviors of constructors are identified, so that unsafe behaviors can be found and corrected in time, and construction accidents are prevented. By comprehensively monitoring the construction environment and construction operation, the method is beneficial to timely finding and solving the problems in construction and ensures the engineering quality and progress.
Specifically, the image acquisition equipment is installed on the tunnel construction site, so that the monitoring area can cover the operation area and key construction links of constructors, and then the image acquisition equipment sends the image shot in real time to the electronic equipment in a wireless mode, so that the operation of acquiring the image of the tunnel construction site is realized. Then, preprocessing is performed on the tunnel construction site image to improve the quality of the image and the accuracy of the identification of the subsequent construction operation, and the preprocessing includes but is not limited to: denoising, enhancing, scaling, etc. Further, the pre-processed tunnel construction site image is subjected to feature extraction by using an image recognition algorithm (e.g., a deep learning algorithm, a computer vision algorithm, etc.), key features related to the construction operation are extracted, the extracted key features are compared with a preset construction operation template, and specific construction operation of a constructor is recognized by a pattern recognition or classification algorithm. The electronic equipment is pre-stored with a database containing various construction safety specifications, the specification database not only comprises characteristic data corresponding to the specification operation, but also comprises characteristic data corresponding to the illegal operation, so that the identified construction operation can be compared with the specification in the construction safety specification database, whether the construction operation accords with the safety specification is evaluated, an operation safety monitoring result is determined according to the evaluation result, and the operation safety monitoring result can be divided into: security, warning, danger, etc.
It can be seen that, in the embodiment of the application, a tunnel construction site image is obtained, construction operation identification is performed based on the tunnel construction site image, construction operation corresponding to constructors is obtained, operation safety assessment is performed based on construction operation and construction safety specifications, and an operation safety monitoring result is determined. The operation behaviors of constructors are identified, unsafe behaviors can be found and corrected in time, construction accidents are prevented, problems in construction are found and solved in time, and engineering quality and progress are guaranteed.
Further, in order to improve accuracy and reliability of tunnel construction safety monitoring and improve data retrieval speed, in the embodiment of the present application, construction safety analysis is performed based on each sensor data, and after determining an environmental safety monitoring result, the method further includes:
Performing monitoring result synthesis based on the environmental safety monitoring result and the operation safety monitoring result, and determining a target safety monitoring result;
When the target safety monitoring result is that the abnormality exists, carrying out risk assessment based on abnormal data to determine tunnel risk information, wherein the abnormal data is data for determining that the abnormality exists in operation safety assessment and/or construction safety analysis;
Performing emergency measure analysis based on the tunnel risk information, and determining a target emergency measure;
And when the target safety monitoring result is normal, classifying and storing the sensor data and the tunnel construction site image acquired in real time so as to improve the data retrieval speed when a query request exists later.
For the embodiment of the application, the environmental safety monitoring result comprises: the environment safety is abnormal and normal, and the operation safety monitoring result comprises: safety, warning and danger, so that the monitoring result is synthesized based on the environmental safety monitoring result and the operation safety monitoring result, the target safety monitoring result is determined, and the target safety monitoring result is determined to be normal only when the environmental safety monitoring result is environmental safety normal and the operation safety monitoring result is safety; otherwise, determining that the target safety monitoring result is abnormal. By integrating the environmental safety monitoring result and the operation safety monitoring result, the safety condition in the tunnel construction process can be reflected more comprehensively and accurately, the comprehensive monitoring method avoids the limitation of a single monitoring means and improves the accuracy and reliability of tunnel construction safety monitoring.
When the target safety monitoring result is abnormal, identifying abnormal data from the operation safety evaluation and/or construction safety analysis result, wherein the abnormal data may relate to data such as that the operation behavior of constructors is out of specification, the environment parameters monitored by the sensors exceed a safety threshold value and the like. And classifying the identified abnormal data, distinguishing whether the abnormal data is related to operation safety or construction safety or both, and integrating the related abnormal data to form a complete abnormal data set. The method comprises the steps of obtaining a pre-established risk assessment model, processing an abnormal data set by using the risk assessment model, assessing the risk type, the risk level and the effect caused by the risk of tunnel construction, and determining the risk information as tunnel risk information, wherein the risk assessment model is obtained by training a machine learning algorithm model by using membership data. An emergency measure library is established in advance, the emergency measure library comprises emergency treatment schemes aiming at risks of different types and different grades, and information such as emergency measures, execution steps, responsible departments or personnel corresponding to each risk is listed in detail. Then, matching the determined tunnel risk information with emergency treatment schemes in an emergency measure library, and determining the most suitable emergency measure according to the risk type and the risk grade; if there are multiple emergency measures to be considered simultaneously, the emergency measures should be prioritized according to the urgency and scope of influence of the risk to ensure that the most important and urgent emergency measures are executed first. Finally, the emergency measure is determined as a target emergency measure as a proper emergency measure or as a priority-ordered emergency measure set. The intelligent emergency response mechanism can rapidly start the corresponding emergency plan, reduce the delay and error of human intervention, and improve the efficiency and accuracy of emergency response.
Meanwhile, when the target safety monitoring result is normal, classifying and storing the sensor data and the tunnel construction site image acquired in real time, namely classifying and storing the sensor data according to the monitoring target, the sensor type, the time and other dimensions; and classifying and storing the tunnel construction site images according to the dimensions of the monitoring area, the monitoring time and the like, and setting indexes to improve the retrieval speed. The database stored in a classified way has high-efficiency data retrieval and query functions, is convenient for improving the data retrieval speed when a query request exists later, and provides powerful support for construction safety management and decision support.
Therefore, in the embodiment of the application, the monitoring result is synthesized based on the environmental safety monitoring result and the operation safety monitoring result, and the target safety monitoring result is determined. By integrating the environmental safety monitoring result and the operation safety monitoring result, the safety condition in the tunnel construction process can be reflected more comprehensively and accurately, the comprehensive monitoring method avoids the limitation of a single monitoring means and improves the accuracy and reliability of tunnel construction safety monitoring. And when the target safety monitoring result is abnormal, performing risk assessment based on abnormal data, determining tunnel risk information, and performing emergency measure analysis based on the tunnel risk information to determine the target emergency measure. The intelligent emergency response mechanism can rapidly start the corresponding emergency plan, reduce the delay and error of human intervention, and improve the efficiency and accuracy of emergency response. Meanwhile, when the target safety monitoring result is normal, the sensor data acquired in real time and the tunnel construction site image are stored in a classified mode, so that the data retrieval speed is improved when a query request exists later.
Further, in order to reduce the working risk of the constructor, in the embodiment of the present application, emergency measure analysis is performed based on the tunnel risk information, and after determining the target emergency measure, the method further includes:
screening intelligent robots based on tunnel risk information, and determining target intelligent robots;
and performing intelligent operation analysis based on the target emergency measures, determining working information corresponding to the target intelligent robot, and controlling the target intelligent robot to perform intelligent operation according to the working information so as to reduce the operation risk of constructors.
For the embodiment of the application, the capability analysis is carried out on the available intelligent robots in advance, the functional characteristics, the application range, the performance index and the like of each robot are defined, and the current tunnel risk type and the capability required to be handled, such as inspection, maintenance, cleaning, rescue and the like, are determined according to the tunnel risk information. Then, according to the tunnel risk type and the required coping capacity, a screening strategy of the intelligent robot is formulated, wherein the screening strategy comprises but is not limited to: correspondence between the tunnel risk type and the type, number and configuration requirements of the robots. Further, a target intelligent robot is determined from the available intelligent robots based on the screening policies and the tunnel risk information, wherein the target robot should be able to provide an effective countermeasure against the current tunnel risk. And then, planning the deployment position and path of the target intelligent robot according to the actual conditions in the tunnel, so as to ensure that the target intelligent robot can smoothly reach the working area.
After that, intelligent operation analysis is performed based on the target emergency measures, and working information corresponding to the target intelligent robot is determined, wherein the working information includes but is not limited to: task targets, operation areas, operation paths, operation time, operation requirements and the like, for example, when the target emergency measure is tunnel inspection, the work information corresponding to the target intelligent robot may include: the tunnel section of inspection, the frequency of inspection, the content of inspection (such as cracks, water seepage and the like), the recording mode of inspection results and the like. And further, the control target intelligent robot performs intelligent operation according to the planned working path and the task target, and monitors the working state and the working effect of the target intelligent robot in real time. The intelligent robot is utilized to execute tasks in the high-risk area, so that the necessity of constructors entering the high-risk area is reduced, and the operation risk of the constructors is reduced.
It can be seen that, in the embodiment of the application, the intelligent robot screening is performed based on the tunnel risk information, the target intelligent robot is determined, then the intelligent operation analysis is performed based on the target emergency measure, the working information corresponding to the target intelligent robot is determined, and the target intelligent robot is controlled to perform intelligent operation according to the working information, so that the operation risk of constructors is reduced.
Further, in order to optimize the layout of the sensor, ensure that no dead angle exists in monitoring, and improve the monitoring efficiency and accuracy, in the embodiment of the present application, sensor deployment analysis is performed based on a safety monitoring target and a tunnel design file, and after sensor deployment information is determined, the method further includes:
building a model based on a tunnel design file to obtain a tunnel three-dimensional model, and integrating sensors on the tunnel three-dimensional model based on sensor deployment information to obtain a monitoring three-dimensional model;
based on the sensor specification and the sensor type in the sensor deployment information, performing field simulation in the monitoring three-dimensional model, and performing deployment analysis based on a coverage area corresponding to the field simulation to obtain a sensor deployment report.
For the embodiment of the application, in the process of executing model construction, a three-dimensional model of the tunnel is constructed according to the tunnel design file by using professional three-dimensional modeling software, and the geometric shape, the structural characteristics and the surrounding environment (such as topography, buildings and the like) of the tunnel are accurately shown in the summary of the three-dimensional model of the tunnel. The three-dimensional model of the tunnel constructed by the tunnel design file can accurately present key information such as the structure, the size, the layout and the like of the tunnel, so that a designer can intuitively understand the form of the tunnel, and the design precision is improved. And then, according to the sensor deployment information, placing a three-dimensional model corresponding to the sensor at a corresponding position in the three-dimensional model of the tunnel to obtain a monitoring three-dimensional model, wherein parameters such as the size, the direction and the angle of the sensor model in the monitoring three-dimensional model are consistent with the actual deployment condition. After that, based on the sensor specifications and the sensor types in the sensor deployment information, field-of-view simulation is performed in the monitoring three-dimensional model, that is, the monitoring area corresponding to each sensor is drawn using the visualization tool. Through the field simulation technology, the monitoring range and the coverage area of each sensor can be intuitively displayed, so that scientific deployment analysis is performed, the layout of the sensors is optimized, no dead angle is ensured in monitoring, and the monitoring efficiency and accuracy are improved.
Furthermore, deployment analysis is performed based on coverage areas corresponding to field simulation, in the deployment analysis process, whether blind areas which are not covered by a sensor monitoring area exist in a monitoring three-dimensional model needs to be judged, complex areas such as an entrance, an intersection, a turning and the like of a tunnel need to be paid special attention, and no dead angle is ensured to monitor the areas; of course, it is also possible to check whether there is an overlap in the sensor monitoring area and determine whether the overlap area is greater than an overlap area threshold, which is determined by the relevant technician deploying the sensor based on a number of experimental operations. When the area of the overlapping area is larger than the threshold value of the overlapping area, the distribution position of the characterization sensor is unreasonable, and the position or parameter of the adjustment sensor can be considered to reduce redundant monitoring, so that the effective utilization of monitoring resources is ensured. Finally, a sensor deployment report is compiled, and the deployment condition, the monitoring range evaluation result and the optimization suggestion of the sensor are recorded in detail in the sensor deployment report.
Therefore, in the embodiment of the application, the model building is performed based on the tunnel design file to obtain the tunnel three-dimensional model, and the sensor integration is performed on the tunnel three-dimensional model based on the sensor deployment information to obtain the monitoring three-dimensional model. Then, based on the sensor specification and the sensor type in the sensor deployment information, field simulation is performed in the monitoring three-dimensional model, and the monitoring range and the coverage area of each sensor can be intuitively displayed through a field simulation technology, so that scientific deployment analysis is performed, the layout of the sensors is facilitated to be optimized, no dead angle is ensured in monitoring, and the monitoring efficiency and accuracy are improved. And further, performing deployment analysis based on the coverage area corresponding to the field simulation to obtain a sensor deployment report.
Further, in order to improve accuracy and integrity of sensor data, in an embodiment of the present application, construction safety analysis is performed based on each sensor data, and determining an environmental safety monitoring result includes:
Performing fusion operation based on each sensor data to obtain fusion sensor data, wherein the fusion operation is used for accurately and comprehensively characterizing the current safety condition of tunnel construction;
Extracting features based on the fused sensor data to obtain safety analysis evaluation features;
and acquiring a construction safety analysis model, inputting safety analysis evaluation characteristics into the construction safety analysis model, and determining an output result of the construction safety analysis model as an environmental safety monitoring result.
For the embodiment of the application, the sensors of different types have different perceptibility and precision, the sensor data corresponding to the sensors of different types are fused, and the sensor data are mutually complemented, so that the accuracy and the integrity of the sensor data are improved. For the same type of sensor, a single sensor may be possibly affected by environmental noise or accuracy limitation of the device, so that errors exist in data, and through data fusion, the data redundancy of a plurality of sensors can be utilized, noise is effectively suppressed, and the reliability of the data is improved.
Thus, time synchronization and coordinate conversion operations are performed for each sensor data such that the time stamps of all sensors are unified to the same reference time, the data is converted under the same coordinate system, and the sensor data are fused by a fusion algorithm to obtain more comprehensive and accurate information, the fusion algorithm including but not limited to: weighted averaging, kalman filtering, bayesian methods, machine learning algorithms, etc. Key features are then extracted from the fused sensor data as security analysis assessment features that can reflect the security conditions of the tunnel construction environment, including but not limited to: tunnel deformation, stress distribution, temperature gradients, humidity changes, concentration of harmful gases, etc. For the specific manner of feature extraction, depending on the type and nature of the sensor data, for example, for image data, key points in the image may be extracted using SIFT (scale invariant feature transform) or SURF (speeded up robust feature) algorithms or the like; for time series data, frequency characteristics may be extracted using FFT (fast fourier transform) or DWT (discrete wavelet transform) or the like. And further, acquiring a construction safety analysis model, inputting the extracted safety analysis evaluation characteristics into a trained construction safety analysis model, reasoning and calculating the construction safety analysis model according to the safety analysis evaluation characteristics, and outputting an environmental safety monitoring result, wherein the construction safety analysis model is obtained by training a deep learning model by utilizing a large amount of historical data, and in the training process, parameters and structures of the model are required to be continuously adjusted so as to improve the accuracy and generalization capability of the model.
Therefore, in the embodiment of the application, the fusion operation is performed based on each sensor data to obtain the fused sensor data, and the sensor data are mutually complemented, so that the accuracy and the integrity of the sensor data are improved. And then, extracting features based on the fused sensor data to obtain safety analysis evaluation features, inputting the safety analysis evaluation features into a construction safety analysis model, and determining an output result of the construction safety analysis model as an environmental safety monitoring result.
The foregoing embodiments describe a method for monitoring the safety of tunnel construction from the perspective of a method flow, and the following embodiments describe a device for monitoring the safety of tunnel construction from the perspective of a virtual module or a virtual unit, which are described in detail in the following embodiments.
The embodiment of the application provides a safety monitoring device for tunnel construction, as shown in fig. 2, the safety monitoring device for tunnel construction specifically may include:
The monitoring target analysis module 210 is configured to obtain a tunnel design file and a construction safety specification, perform monitoring target analysis based on the tunnel design file and the construction safety specification, and determine a safety monitoring target;
The sensor deployment analysis module 220 is configured to perform sensor deployment analysis based on the security monitoring target and the tunnel design file, and determine sensor deployment information, where the sensor deployment information includes: sensor type, sensor specification, sensor installation information;
The deployment information sending module 230 is configured to send the sensor deployment information to the installer mobile terminal, so that the installer can complete the deployment operation of all the sensors according to the sensor deployment information;
And the construction safety analysis module 240 is configured to acquire sensor data sent by each sensor in real time when a sensor deployment completion instruction is detected, perform construction safety analysis based on each sensor data, and determine an environmental safety monitoring result.
For the embodiment of the application, the tunnel design file and the construction safety standard are acquired, the monitoring target analysis is carried out based on the tunnel design file and the construction safety standard, and the safety monitoring target is determined. And then, carrying out sensor deployment analysis based on the safety monitoring target and the tunnel design file, determining sensor deployment information, and sending the sensor deployment information to an installer mobile terminal so that the installer can complete the deployment operation of all the sensors according to the sensor deployment information. The sensor is scientifically deployed according to the tunnel design file and the safety monitoring target, so that comprehensive and reasonable coverage of monitoring points is ensured, various safety indexes in the tunnel construction process can be accurately reflected, and the accuracy and reliability of monitoring data are improved. When a sensor deployment completion instruction is detected, sensor data sent by each sensor are acquired in real time, construction safety analysis is carried out based on each sensor data, and an environmental safety monitoring result is determined. Sensor data are acquired in real time and construction safety analysis is carried out, potential safety hazards in the construction process can be responded quickly, and efficiency and accuracy of tunnel construction safety monitoring are improved.
In one possible implementation manner of the embodiment of the present application, a safety monitoring device for tunnel construction further includes:
The construction operation identification module is used for acquiring a tunnel construction site image, carrying out construction operation identification based on the tunnel construction site image and obtaining construction operation corresponding to constructors;
and carrying out operation safety assessment based on construction operation and construction safety specifications, and determining an operation safety monitoring result.
In one possible implementation manner of the embodiment of the present application, a safety monitoring device for tunnel construction further includes:
The risk assessment module is used for carrying out monitoring result synthesis based on the environmental safety monitoring result and the operation safety monitoring result and determining a target safety monitoring result;
When the target safety monitoring result is that the abnormality exists, carrying out risk assessment based on abnormal data to determine tunnel risk information, wherein the abnormal data is data for determining that the abnormality exists in operation safety assessment and/or construction safety analysis;
Performing emergency measure analysis based on the tunnel risk information, and determining a target emergency measure;
And when the target safety monitoring result is normal, classifying and storing the sensor data and the tunnel construction site image acquired in real time so as to improve the data retrieval speed when a query request exists later.
In one possible implementation manner of the embodiment of the present application, a safety monitoring device for tunnel construction further includes:
The intelligent robot screening module is used for screening the intelligent robots based on the tunnel risk information and determining a target intelligent robot;
and performing intelligent operation analysis based on the target emergency measures, determining working information corresponding to the target intelligent robot, and controlling the target intelligent robot to perform intelligent operation according to the working information so as to reduce the operation risk of constructors.
In one possible implementation manner of the embodiment of the present application, a safety monitoring device for tunnel construction further includes:
The sensor deployment verification module is used for building a model based on the tunnel design file to obtain a tunnel three-dimensional model, and integrating the sensor on the tunnel three-dimensional model based on the sensor deployment information to obtain a monitoring three-dimensional model;
based on the sensor specification and the sensor type in the sensor deployment information, performing field simulation in the monitoring three-dimensional model, and performing deployment analysis based on a coverage area corresponding to the field simulation to obtain a sensor deployment report.
In one possible implementation manner of the embodiment of the present application, the construction safety analysis module 240 is configured to, when performing construction safety analysis based on each sensor data and determining an environmental safety monitoring result:
Performing fusion operation based on each sensor data to obtain fusion sensor data, wherein the fusion operation is used for accurately and comprehensively characterizing the current safety condition of tunnel construction;
Extracting features based on the fused sensor data to obtain safety analysis evaluation features;
and acquiring a construction safety analysis model, inputting safety analysis evaluation characteristics into the construction safety analysis model, and determining an output result of the construction safety analysis model as an environmental safety monitoring result.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, a specific working process of the above-described safety monitoring device for tunnel construction may refer to a corresponding process in the foregoing method embodiment, which is not described herein again.
In an embodiment of the present application, as shown in fig. 3, an electronic device 300 shown in fig. 3 includes: a processor 301 and a memory 303. Wherein the processor 301 is coupled to the memory 303, such as via a bus 302. Optionally, the electronic device 300 may also include a transceiver 304. It should be noted that, in practical applications, the transceiver 304 is not limited to one, and the structure of the electronic device 300 is not limited to the embodiment of the present application.
The Processor 301 may be a CPU (Central Processing Unit ), general purpose Processor, DSP (DIGITAL SIGNAL Processor, data signal Processor), ASIC (Application SPECIFIC INTEGRATED Circuit), FPGA (Field Programmable GATE ARRAY ) or other programmable logic device, transistor logic device, hardware component, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules and circuits described in connection with this disclosure. Processor 301 may also be a combination that implements computing functionality, e.g., comprising one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.
Bus 302 may include a path to transfer information between the components. Bus 302 may be a PCI (PERIPHERAL COMPONENT INTERCONNECT, peripheral component interconnect standard) bus or an EISA (Extended Industry Standard Architecture ) bus, or the like. Bus 302 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 3, but not only one bus or type of bus.
The Memory 303 may be, but is not limited to, a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory ) or other type of dynamic storage device that can store information and instructions, an EEPROM (ELECTRICALLY ERASABLE PROGRAMMABLE READ ONLY MEMORY ), a CD-ROM (Compact Disc Read Only Memory, compact disc Read Only Memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
The memory 303 is used for storing application program codes for executing the inventive arrangements and is controlled to be executed by the processor 301. The processor 301 is configured to execute the application code stored in the memory 303 to implement what is shown in the foregoing method embodiments.
Among them, electronic devices include, but are not limited to: mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. But may also be a server or the like. The electronic device shown in fig. 3 is only an example and should not be construed as limiting the functionality and scope of use of the embodiments of the application.
Embodiments of the present application provide a computer-readable storage medium having a computer program stored thereon, which when run on a computer, causes the computer to perform the corresponding method embodiments described above.
Embodiments of the present application provide a computer program product comprising a computer program which, when executed by a processor, implements a method as in any of the embodiments described above. Compared with the related art, the method and the device have the advantages that the tunnel design file and the construction safety standard are obtained, the monitoring target analysis is carried out based on the tunnel design file and the construction safety standard, and the safety monitoring target is determined. And then, carrying out sensor deployment analysis based on the safety monitoring target and the tunnel design file, determining sensor deployment information, and sending the sensor deployment information to an installer mobile terminal so that the installer can complete the deployment operation of all the sensors according to the sensor deployment information. The sensor is scientifically deployed according to the tunnel design file and the safety monitoring target, so that comprehensive and reasonable coverage of monitoring points is ensured, various safety indexes in the tunnel construction process can be accurately reflected, and the accuracy and reliability of monitoring data are improved. When a sensor deployment completion instruction is detected, sensor data sent by each sensor are acquired in real time, construction safety analysis is carried out based on each sensor data, and an environmental safety monitoring result is determined. Sensor data are acquired in real time and construction safety analysis is carried out, potential safety hazards in the construction process can be responded quickly, and efficiency and accuracy of tunnel construction safety monitoring are improved.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
The foregoing is only a partial embodiment of the present application, and it should be noted that it will be apparent to those skilled in the art that modifications and adaptations can be made without departing from the principles of the present application, and such modifications and adaptations should and are intended to be comprehended within the scope of the present application.
Claims (9)
1. The safety monitoring method for tunnel construction is characterized by comprising the following steps of:
Acquiring a tunnel design file and a construction safety specification, and analyzing a monitoring target based on the tunnel design file and the construction safety specification to determine a safety monitoring target;
performing sensor deployment analysis based on the safety monitoring target and the tunnel design file, and determining sensor deployment information, wherein the sensor deployment information comprises: sensor type, sensor specification, sensor installation information;
The sensor deployment information is sent to an installer mobile terminal, so that the installer can complete the deployment operation of all sensors according to the sensor deployment information;
when a sensor deployment completion instruction is detected, sensor data sent by each sensor are acquired in real time, construction safety analysis is carried out based on each sensor data, and an environmental safety monitoring result is determined.
2. The method for monitoring the safety of tunnel construction according to claim 1, wherein after acquiring the sensor data sent by each sensor in real time, the method further comprises:
Acquiring a tunnel construction site image, and carrying out construction operation identification based on the tunnel construction site image to obtain construction operation corresponding to constructors;
And carrying out operation safety assessment based on the construction operation and the construction safety specification, and determining an operation safety monitoring result.
3. The method for monitoring the safety of tunnel construction according to claim 2, wherein after the construction safety analysis is performed based on each of the sensor data and the environmental safety monitoring result is determined, further comprising:
performing monitoring result synthesis based on the environmental safety monitoring result and the operation safety monitoring result, and determining a target safety monitoring result;
when the target safety monitoring result is abnormal, carrying out risk assessment based on abnormal data to determine tunnel risk information, wherein the abnormal data are data with abnormal conditions determined in operation safety assessment and/or construction safety analysis;
performing emergency measure analysis based on the tunnel risk information, and determining a target emergency measure;
and when the target safety monitoring result is normal, classifying and storing the sensor data and the tunnel construction site image acquired in real time so as to improve the data retrieval speed when a query request exists later.
4. The method for safely monitoring tunnel construction according to claim 3, wherein after the emergency measure analysis is performed based on the tunnel risk information and the target emergency measure is determined, further comprising:
Screening intelligent robots based on the tunnel risk information, and determining a target intelligent robot;
And performing intelligent operation analysis based on the target emergency measures, determining working information corresponding to the target intelligent robot, and controlling the target intelligent robot to perform intelligent operation according to the working information so as to reduce the operation risk of constructors.
5. The method for monitoring the safety of tunnel construction according to claim 1, wherein the sensor deployment analysis is performed based on the safety monitoring target and the tunnel design file, and after determining the sensor deployment information, further comprises:
Building a model based on the tunnel design file to obtain a tunnel three-dimensional model, and integrating sensors on the tunnel three-dimensional model based on the sensor deployment information to obtain a monitoring three-dimensional model;
And performing field simulation in the monitoring three-dimensional model based on the sensor specification and the sensor type in the sensor deployment information, and performing deployment analysis based on a coverage area corresponding to the field simulation to obtain a sensor deployment report.
6. The method for safely monitoring tunnel construction according to claim 1, wherein the step of performing construction safety analysis based on each of the sensor data to determine an environmental safety monitoring result comprises:
Performing fusion operation based on each sensor data to obtain fusion sensor data, wherein the fusion operation is used for accurately and comprehensively characterizing the current safety condition of tunnel construction;
Extracting features based on the fused sensor data to obtain safety analysis evaluation features;
and acquiring a construction safety analysis model, inputting the safety analysis evaluation characteristics into the construction safety analysis model, and determining the output result of the construction safety analysis model as an environmental safety monitoring result.
7. An electronic device, comprising:
At least one processor;
A memory;
At least one application program, wherein the at least one application program is stored in the memory and configured to be executed by the at least one processor, the at least one application program configured to: a safety monitoring method of performing the tunnel construction of any one of claims 1 to 6.
8. A computer-readable storage medium, having stored thereon a computer program which, when executed in a computer, causes the computer to perform the safety monitoring method of tunnel construction according to any one of claims 1 to 6.
9. A computer program product comprising a computer program for execution by a processor of a method of safety monitoring of tunnel construction according to any one of claims 1 to 6.
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