Highway tunnel construction safety risk early warning method and system based on BIM model

Abstract

The invention provides a highway tunnel construction safety risk early warning method and system based on a BIM model. The method comprises the steps that the BIM model of a highway tunnel construction site is constructed; detecting a construction safety risk event in the BIM model; and early warning of construction safety risk events is carried out on the highway tunnel construction site. According to the highway tunnel construction safety risk early warning method and system based on the BIM model, a large number of managers do not need to monitor and early warn the construction risks of the highway tunnel construction site, the labor cost is reduced, in addition, the system detects the construction safety risk events in the BIM model and carries out early warning, and the construction safety risk early warning efficiency is improved. The timeliness, comprehensiveness and efficiency of monitoring and early warning the construction risk of the highway tunnel construction site are improved to a great extent.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of computer data processing, in particular to a highway tunnel construction safety risk early warning method and system based on a BIM model. BACKGROUND

[0002] At present, the risk of highway tunnel construction is relatively high. In order to ensure construction safety, it is necessary to continuously monitor and accordingly early warn the construction risk of the highway tunnel construction site. Generally, the construction risk of the highway tunnel construction site is monitored and early warned by a large number of management personnel in the highway tunnel construction site. However, this method has a large labor cost, and in addition, the timeliness, comprehensiveness and efficiency of manual monitoring and early warning by the management personnel are more or less insufficient.

[0003] Therefore, a solution is urgently needed. SUMMARY

[0004] One of the purposes of the present application is to provide a highway tunnel construction safety risk early warning method based on a BIM model, which does not need a large number of management personnel to manually monitor and early warn the construction risk of the highway tunnel construction site, thereby reducing the labor cost, and in addition, the system detects the construction safety risk events in the BIM model and early warns, which greatly improves the timeliness, comprehensiveness and efficiency of monitoring and early warning the construction risk of the highway tunnel construction site.

[0005] The highway tunnel construction safety risk early warning method based on the BIM model provided by the embodiment of the present application comprises: constructing a BIM model of the highway tunnel construction site; detecting construction safety risk events in the BIM model; early warning the construction safety risk events of the highway tunnel construction site.

[0006] Preferably, the construction of the BIM model of the highway tunnel construction site comprises: obtaining first multi-modal information monitored by a pre-deployed sensor network in the highway tunnel construction site; representing the first multi-modal information in a BIM map model of the highway tunnel construction site to obtain a basic model; based on the basic model, formulating a supplementary monitoring task; controlling a mobile monitoring device pre-equipped in the highway tunnel construction site to execute the supplementary monitoring task; when the mobile monitoring device completes the execution of the supplementary monitoring task, obtaining second multi-modal information monitored by the mobile monitoring device and returned by the mobile monitoring device; representing the second multi-modal information in the basic model to obtain the BIM model of the highway tunnel construction site.

[0007] Preferably, the supplementary monitoring tasks based on the base model include: Based on the supplementary monitoring point search rules, supplementary monitoring points are searched in the basic model; Based on the planning conditions of the supplementary data acquisition circle, a supplementary data acquisition circle is planned in the basic model; the supplementary data acquisition circle contains supplementary monitoring points. The generation of supplementary monitoring tasks includes: going to the center of the supplementary collection circle to conduct supplementary monitoring of the supplementary monitoring points contained within the supplementary collection circle; The supplementary data collection circle planning conditions include: When the mobile monitoring device performs supplementary monitoring on the supplementary monitoring points included within the supplementary monitoring circle at the center of the supplementary monitoring circle, the mobile monitoring device meets the supplementary monitoring requirements for all supplementary monitoring points included within the supplementary monitoring circle; and, The straight-line distance between any two supplementary monitoring points within the same supplementary data collection circle is less than or equal to a distance threshold; and... The supplementary monitoring points included in the same supplementary data collection area belong to the same on-site scene space; and, The environmental weight of a point in the same supplementary collection circle that contains at least a threshold number of supplementary monitoring points is greater than or equal to the weight threshold.

[0008] Preferably, the steps for obtaining the location environmental weights of the supplementary monitoring points are as follows: Environmental characteristic information of supplementary monitoring points is determined from the basic model; Identify information items of the same feature type from environmental feature information; Determine the first weight value corresponding to the information item from the weight library and associate it with the corresponding feature type; Perform predictive processing on the information items to obtain predicted information items; Determine the second weight value corresponding to the predicted information item from the weight library and associate it with the corresponding feature type; The environmental weight of the supplementary monitoring points is calculated using the following formula: ; ; in, To supplement the environmental weights of the monitoring points, For the first The first weight value associated with each feature type, For the first The second weight value associated with each feature type The total number of feature types, and The preset weight values, It is an intermediate variable.

[0009] Preferably, the BIM model-based highway tunnel construction safety risk early warning method further comprises: When the early warning personnel access the BIM model, the historical personnel portrait information of the early warning personnel is acquired; Based on the historical personnel portrait information, a viewing perspective for the early warning personnel to view the BIM model is recommended; The early warning personnel is guided to view the BIM model in the viewing perspective.

[0010] Preferably, the BIM model-based highway tunnel construction safety risk early warning method further comprises: When the historical personnel portrait information changes continuously at least a threshold number of times within a target time period, the continuous change information items of the historical personnel portrait information within the target time period are acquired; A first content search rule corresponding to the continuous change information items is determined from a first content search rule library; Based on the first content search rule, first necessary viewing contents are searched out from the BIM model; The first necessary viewing contents, the area position relationships between the first necessary viewing contents and the content display areas of the first necessary viewing contents in the BIM model, and the historical personnel portrait information are described in features to obtain feature description vectors; A second content search rule corresponding to the feature description vectors is determined from a second content search rule library; Based on the second content search rule, second necessary viewing contents are searched out from the BIM model; The viewing perspective is created in the BIM model; and the first necessary viewing contents and the second necessary viewing contents are completely visible within the field of view of the viewing perspective.

[0011] The BIM model-based highway tunnel construction safety risk early warning system provided by the embodiment of the application comprises: A construction module configured to construct a BIM model of a highway tunnel construction site; A detection module configured to detect a construction safety risk event in the BIM model; An early warning module configured to perform early warning of the construction safety risk event for the highway tunnel construction site.

[0012] Preferably, the construction module configured to construct the BIM model of the highway tunnel construction site comprises: First multi-modal information monitored by a pre-deployed sensor network in the highway tunnel construction site is acquired; The first multi-modal information is represented in a BIM map model of the highway tunnel construction site to obtain a basic model; Based on the basic model, a supplementary monitoring task is formulated; To control the mobile monitoring equipment pre-equipped within the highway tunnel construction site to perform supplementary monitoring tasks; After the mobile monitoring device completes the supplementary monitoring task, the second multimodal information of the monitoring returned by the mobile monitoring device is obtained; The second multimodal information is represented in the basic model to obtain the BIM model of the highway tunnel construction site.

[0013] Preferably, the building module, based on the base model, formulates supplementary monitoring tasks, including: Based on the supplementary monitoring point search rules, supplementary monitoring points are searched in the basic model; Based on the planning conditions of the supplementary data acquisition circle, a supplementary data acquisition circle is planned in the basic model; the supplementary data acquisition circle contains supplementary monitoring points. The generation of supplementary monitoring tasks includes: going to the center of the supplementary collection circle to conduct supplementary monitoring of the supplementary monitoring points contained within the supplementary collection circle; The supplementary data collection circle planning conditions include: When the mobile monitoring device performs supplementary monitoring on the supplementary monitoring points included within the supplementary monitoring circle at the center of the supplementary monitoring circle, the mobile monitoring device meets the supplementary monitoring requirements for all supplementary monitoring points included within the supplementary monitoring circle; and, The straight-line distance between any two supplementary monitoring points within the same supplementary data collection circle is less than or equal to a distance threshold; and... The supplementary monitoring points included in the same supplementary data collection area belong to the same on-site scene space; and, The environmental weight of a point in the same supplementary collection circle that contains at least a threshold number of supplementary monitoring points is greater than or equal to the weight threshold.

[0014] Preferably, the steps for obtaining the location environmental weights of the supplementary monitoring points are as follows: Environmental characteristic information of supplementary monitoring points is determined from the basic model; Identify information items of the same feature type from environmental feature information; Determine the first weight value corresponding to the information item from the weight library and associate it with the corresponding feature type; Perform predictive processing on the information items to obtain predicted information items; Determine the second weight value corresponding to the predicted information item from the weight library and associate it with the corresponding feature type; The environmental weight of the supplementary monitoring points is calculated using the following formula: ; ; in, To supplement the environmental weights of the monitoring points, For the first The first weight value associated with each feature type, For the first The second weight value associated with each feature type The total number of feature types, and The preset weight values, It is an intermediate variable.

[0015] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings.

[0016] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0017] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 This is a schematic diagram of a highway tunnel construction safety risk early warning method based on a BIM model, as described in an embodiment of the present invention. Figure 2 This is a schematic diagram of a highway tunnel construction safety risk early warning system based on a BIM model, as described in an embodiment of the present invention. Detailed Implementation

[0018] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0019] This invention provides a method for early warning of safety risks in highway tunnel construction based on BIM models, such as... Figure 1 As shown, it includes: S1. Construct a BIM model of the highway tunnel construction site; S2. Detect construction safety risk events in the BIM model; S3. Provide early warning of construction safety risk events at highway tunnel construction sites.

[0020] After constructing a BIM model of the highway tunnel construction site, the BIM model digitally represents the site conditions. Therefore, it's possible to directly detect construction safety risk events within the BIM model. Construction safety risk events refer to abnormal events occurring at the highway tunnel construction site. Once detected, early warnings for these events are issued. This eliminates the need for a large number of management personnel to manually monitor and issue early warnings for construction risks at the highway tunnel construction site, reducing labor costs. Furthermore, the system's ability to detect and issue early warnings for construction safety risk events in the BIM model significantly improves the timeliness, comprehensiveness, and efficiency of monitoring and issuing early warnings for construction risks at highway tunnel construction sites.

[0021] In one embodiment, constructing a BIM model of a highway tunnel construction site includes: Acquire the first multimodal information monitored by the sensor network pre-deployed within the highway tunnel construction site; The first multimodal information is represented in the BIM map model of the highway tunnel construction site to obtain the basic model; Based on the basic model, formulate supplementary monitoring tasks; To control the mobile monitoring equipment pre-equipped within the highway tunnel construction site to perform supplementary monitoring tasks; After the mobile monitoring device completes the supplementary monitoring task, the second multimodal information of the monitoring returned by the mobile monitoring device is obtained; The second multimodal information is represented in the basic model to obtain the BIM model of the highway tunnel construction site.

[0022] During pre-deployment, the sensor network can be configured according to actual monitoring needs. For example, surveillance cameras can be installed in multiple work areas within a highway tunnel construction site to capture work footage. Alternatively, hazardous gas sensors can be deployed inside the tunnel to monitor hazardous gas concentrations and prevent their intrusion during construction. The sensor network can monitor the primary multimodal information within the highway tunnel construction site, which includes the aforementioned work footage and hazardous gas concentrations. A pre-installed BIM map model of the highway tunnel construction site is provided; this model is a 1:1 scale 3D simulation of the site. The primary multimodal information is represented within this BIM map model. During representation, the corresponding map location can be found within the BIM map model based on the location of the primary multimodal information, and then set on the ground. However, since sensor devices in sensor networks are mostly fixed, the basic model may still be insufficient for detecting construction safety risk events. Therefore, supplementary monitoring tasks are formulated based on the basic model. Mobile monitoring devices pre-positioned within the highway tunnel construction site are controlled to perform these supplementary monitoring tasks. These mobile monitoring devices can be drones or AGVs, equipped with various types of on-site information acquisition devices, such as cameras, IoT sensors, and wireless information reading devices. After the mobile monitoring devices complete their supplementary monitoring tasks, the second multimodal information transmitted back by the devices is acquired. This second multimodal information represents new on-site information detected by the mobile monitoring devices. This second multimodal information is then represented in the basic model to obtain the BIM model of the highway tunnel construction site. This significantly improves the comprehensiveness of the BIM model construction, enhances the system's applicability, and indirectly improves the efficiency of subsequent BIM model use for detecting construction safety risk events.

[0023] In one embodiment, the formulation of supplementary monitoring tasks based on the base model includes: Based on the supplementary monitoring point search rules, supplementary monitoring points are searched in the basic model; Based on the planning conditions of the supplementary data acquisition circle, a supplementary data acquisition circle is planned in the basic model; the supplementary data acquisition circle contains supplementary monitoring points. The generation of supplementary monitoring tasks includes: going to the center of the supplementary collection circle to conduct supplementary monitoring of the supplementary monitoring points contained within the supplementary collection circle; The supplementary data collection circle planning conditions include: When the mobile monitoring device performs supplementary monitoring on the supplementary monitoring points included within the supplementary monitoring circle at the center of the supplementary monitoring circle, the mobile monitoring device meets the supplementary monitoring requirements for all supplementary monitoring points included within the supplementary monitoring circle; and, The straight-line distance between any two supplementary monitoring points within the same supplementary data collection circle is less than or equal to a distance threshold; and... The supplementary monitoring points included in the same supplementary data collection area belong to the same on-site scene space; and, The environmental weight of a point in the same supplementary collection circle that contains at least a threshold number of supplementary monitoring points is greater than or equal to the weight threshold.

[0024] The rules for searching supplementary monitoring points are the rules for searching the basic model for points that need supplementary monitoring. For example, when there is a temporary work area at a highway tunnel construction site, workers may temporarily enter to perform short-term work. However, there are no surveillance cameras in this temporary work area. Therefore, the surveillance camera locations in the temporary work area can be used as supplementary monitoring points. Generally, highway tunnel construction sites are large, and there may be multiple supplementary monitoring points. If only one mobile monitoring device is used to supplement one monitoring point, it is impossible to meet the supplementary monitoring requirements. Furthermore, if traditional path planning algorithms are used to supplement the monitoring of mobile monitoring devices... The existing route planning cannot meet the supplementary monitoring requirements. This invention addresses these issues by introducing a supplementary data collection circle. Based on the planning conditions of the supplementary data collection circle, a supplementary data collection circle is planned in the basic model, generating a supplementary monitoring task that includes: proceeding to the center of the supplementary data collection circle to perform supplementary monitoring on the supplementary monitoring points within the circle; in the supplementary data collection circle planning conditions, when the mobile monitoring device performs supplementary monitoring on the supplementary monitoring points within the supplementary data collection circle at the center of the circle, the mobile monitoring device meets the supplementary data collection requirements for all supplementary monitoring points within the supplementary data collection circle, meaning it can effectively collect supplementary data. The requirements for the location of the monitoring points correspond to the site conditions. For example, if the supplementary monitoring point is a temporary work area, the supplementary data collection requirement is that the mobile monitoring equipment can capture the entire area of ​​the temporary work area. A supplementary data collection circle planning condition is also set: the straight-line distance between any two supplementary monitoring points within the same supplementary data collection circle must be less than or equal to a distance threshold, such as 300 meters. This condition allows the mobile monitoring equipment to make short-distance, immediate repositioning adjustments when one of the supplementary data collection points no longer needs to be collected, adapting to actual needs. Additionally, it is set that supplementary monitoring points within the same supplementary data collection circle belong to the same site. The supplementary data collection circle planning condition, which specifies the same site space as the highway tunnel construction site, allows the supplementary data collection equipment to simultaneously monitor supplementary monitoring points within the same supplementary data collection circle. Finally, a supplementary data collection circle planning condition is set where the environmental weight of each point within the same supplementary data collection circle is greater than or equal to a weight threshold. This weight threshold can be, for example, 80. The environmental weight represents the degree to which supplementary monitoring points are suitable for simultaneous supplementary data collection of the site conditions. Setting multiple supplementary data collection circle planning conditions significantly improves the comprehensiveness, accuracy, and rationality of the supplementary data collection circle planning.

[0025] In one embodiment, the steps for obtaining the location environmental weights of the supplementary monitoring points are as follows: Environmental characteristic information of supplementary monitoring points is determined from the basic model; Identify information items of the same feature type from environmental feature information; Determine the first weight value corresponding to the information item from the weight library and associate it with the corresponding feature type; Perform predictive processing on the information items to obtain predicted information items; Determine the second weight value corresponding to the predicted information item from the weight library and associate it with the corresponding feature type; The environmental weight of the supplementary monitoring points is calculated using the following formula: ; ; in, To supplement the environmental weights of the monitoring points, For the first The first weight value associated with each feature type, For the first The second weight value associated with each feature type The total number of feature types, and The preset weight values, It is an intermediate variable.

[0026] Environmental characteristic information includes: information on the density of equipment placement around the supplementary monitoring point, and information on pedestrian traffic, etc.; the characteristic types are the density of equipment placement around the point, pedestrian traffic, etc.; the weight library contains a first weight value corresponding to different information items. The first weight value corresponding to an information item represents the degree to which the supplementary monitoring point is suitable for simultaneous on-site supplementary data collection, as reflected by the information item. For example, if the information item is that the pedestrian traffic around the supplementary monitoring point is 20 people / hour, it means that the probability of the supplementary monitoring point being blocked by people is relatively high, and the corresponding first weight value is relatively high; the information item is further... The method involves forecasting and obtaining forecast information items. For example, the forecast can be based on the daily work schedule at the highway tunnel construction site. If a large number of workers are scheduled to move to a certain work area, and this movement requires passing through a supplementary monitoring point, then the predicted traffic volume around the supplementary monitoring point is 30 people / hour. Similarly, the second weight value corresponding to the forecast information item is determined again. The location environmental weight of the supplementary monitoring point is calculated using the above formula. In the formula, both the first and second weight values ​​are positively correlated with the location environmental weight, and their settings are reasonable. This embodiment of the invention improves the accuracy, comprehensiveness, and efficiency of obtaining the location environmental weight of supplementary monitoring points by introducing information items, forecast information items, and the above calculation formula when obtaining the location environmental weight of supplementary monitoring points.

[0027] It should be noted that when When the denominator is zero, the system automatically calculates the location environmental weight as the preset location environmental weight value, which can be set in advance by technicians according to actual needs.

[0028] In one embodiment, the BIM model-based method for early warning of safety risks in highway tunnel construction further includes: When early warning personnel access the BIM model, their historical personnel profile information is obtained. Based on historical personnel profile information, the recommended viewing angles for viewing the BIM model are provided to personnel in the early warning system. Guide early warning personnel to view the BIM model from a viewing perspective.

[0029] Historical personnel profile information includes profiles of personnel who issued early warnings in the past, such as their on-site location, responsibilities, and work tasks. Based on this historical personnel profile information, the system recommends viewing angles for the BIM model to early warning personnel, guiding them to view the BIM model from these angles and improving their early warning efficiency.

[0030] In one embodiment, recommending viewing angles for the BIM model to early warning personnel based on historical personnel profile information includes: When the historical personnel profile information changes at least a threshold number of times within the most recent target time period, the continuous change information items of the historical personnel profile information within the most recent target time period are obtained. Determine the first content search rule corresponding to the continuously changing information item from the first content search rule base; Based on the first content search rule, the first essential content to view is searched from the BIM model; Feature descriptions are performed on the first essential viewing content, the regional positional relationships between the content display areas of the first essential viewing content in the BIM model, and historical personnel profile information to obtain feature description vectors; Determine the second content search rule corresponding to the feature description vector from the second content search rule base; Based on the second content search rule, the second essential content to be viewed is searched from the BIM model; Create a viewing perspective in the BIM model; within the field of view of the viewing perspective, fully visualize the first and second essential viewing contents.

[0031] The number of times threshold can be, for example, 3; the most recent target time period can be the most recent 3 days; when the historical personnel profile information changes at least the number of times threshold within the most recent target time period, the continuous change information items of the historical personnel profile information within the most recent target time period are obtained. For example, if the continuous change information item is the situation where the work task of the warning personnel changes multiple times, the first content search rule base has the first content search rule corresponding to the continuous change information item. For example, if the continuous change information item is the situation where the work task of the warning personnel changes multiple times, then the first content search rule is to search for information related to the work task of the warning personnel after the final change; based on the first content search rule, the first necessary viewing content is searched from the BIM model; each of the first necessary viewing content is in the BIM model. The positional relationship between content display areas in the BIM model includes straight-line distances and relative positions. The second content search rule base contains second content search rules corresponding to different feature description vectors. For example, if the first essential content is described by a feature description vector, the positional relationship between the content display areas of the first essential content in the BIM model, and historical personnel profile information indicates that there are related content requiring simultaneous viewing by alerted personnel within the content display areas of the first essential content in the BIM model, then that content is designated as the second essential content. A viewing perspective is created in the BIM model; within the field of view of the viewing perspective, both the first and second essential content are fully visible.

[0032] This invention provides a BIM model-based early warning system for safety risks in highway tunnel construction, such as... Figure 2 As shown, it includes: Module 1 is used to build a BIM model of the highway tunnel construction site; Detection module 2 is used to detect construction safety risk events in the BIM model; Early warning module 3 is used to provide early warning of construction safety risk events at highway tunnel construction sites.

[0033] The building module constructs a BIM model of the highway tunnel construction site, including: Acquire the first multimodal information monitored by the sensor network pre-deployed within the highway tunnel construction site; The first multimodal information is represented in the BIM map model of the highway tunnel construction site to obtain the basic model; Based on the basic model, formulate supplementary monitoring tasks; To control the mobile monitoring equipment pre-equipped within the highway tunnel construction site to perform supplementary monitoring tasks; After the mobile monitoring device completes the supplementary monitoring task, the second multimodal information of the monitoring returned by the mobile monitoring device is obtained; The second multimodal information is represented in the basic model to obtain the BIM model of the highway tunnel construction site.

[0034] The building module, based on the base model, defines supplementary monitoring tasks, including: Based on the supplementary monitoring point search rules, supplementary monitoring points are searched in the basic model; Based on the planning conditions of the supplementary data acquisition circle, a supplementary data acquisition circle is planned in the basic model; the supplementary data acquisition circle contains supplementary monitoring points. The generation of supplementary monitoring tasks includes: going to the center of the supplementary collection circle to conduct supplementary monitoring of the supplementary monitoring points contained within the supplementary collection circle; The supplementary data collection circle planning conditions include: When the mobile monitoring device performs supplementary monitoring on the supplementary monitoring points included within the supplementary monitoring circle at the center of the supplementary monitoring circle, the mobile monitoring device meets the supplementary monitoring requirements for all supplementary monitoring points included within the supplementary monitoring circle; and, The straight-line distance between any two supplementary monitoring points within the same supplementary data collection circle is less than or equal to a distance threshold; and... The supplementary monitoring points included in the same supplementary data collection area belong to the same on-site scene space; and, The environmental weight of a point in the same supplementary collection circle that contains at least a threshold number of supplementary monitoring points is greater than or equal to the weight threshold.

[0035] The steps for obtaining the environmental weights of the supplementary monitoring points are as follows: Environmental characteristic information of supplementary monitoring points is determined from the basic model; Identify information items of the same feature type from environmental feature information; Determine the first weight value corresponding to the information item from the weight library and associate it with the corresponding feature type; Perform predictive processing on the information items to obtain predicted information items; Determine the second weight value corresponding to the predicted information item from the weight library and associate it with the corresponding feature type; The environmental weight of the supplementary monitoring points is calculated using the following formula: ; ; in, To supplement the environmental weights of the monitoring points, For the first The first weight value associated with each feature type, For the first The second weight value associated with each feature type The total number of feature types, and The preset weight values, It is an intermediate variable.

[0036] The BIM model-based highway tunnel construction safety risk early warning system also includes: Auxiliary modules, used to include: When early warning personnel access the BIM model, their historical personnel profile information is obtained. Based on historical personnel profile information, the recommended viewing angles for viewing the BIM model are provided to personnel in the early warning system. Guide early warning personnel to view the BIM model from a viewing perspective.

[0037] The auxiliary module, based on historical personnel profile information, recommends viewing angles for the BIM model to early warning personnel, including: When the historical personnel profile information changes at least a threshold number of times within the most recent target time period, the continuous change information items of the historical personnel profile information within the most recent target time period are obtained. Determine the first content search rule corresponding to the continuously changing information item from the first content search rule base; Based on the first content search rule, the first essential content to view is searched from the BIM model; Feature descriptions are performed on the first essential viewing content, the regional positional relationships between the content display areas of the first essential viewing content in the BIM model, and historical personnel profile information to obtain feature description vectors; Determine the second content search rule corresponding to the feature description vector from the second content search rule base; Based on the second content search rule, the second essential content to be viewed is searched from the BIM model;

[0038] Create a viewing perspective in the BIM model; within the field of view of the viewing perspective, fully visualize the first and second essential viewing contents.

[0039] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for early warning of safety risks in highway tunnel construction based on BIM model, characterized in that, include: Constructing a BIM model of a highway tunnel construction site; Detect construction safety risk events in BIM models; Early warning of construction safety risk events at highway tunnel construction sites.

2. The method for early warning of safety risks in highway tunnel construction based on BIM model as described in claim 1, characterized in that, The BIM model of the highway tunnel construction site includes: Acquire the first multimodal information monitored by the sensor network pre-deployed within the highway tunnel construction site; The first multimodal information is represented in the BIM map model of the highway tunnel construction site to obtain the basic model; Based on the basic model, formulate supplementary monitoring tasks; To control the mobile monitoring equipment pre-equipped within the highway tunnel construction site to perform supplementary monitoring tasks; After the mobile monitoring device completes the supplementary monitoring task, the second multimodal information of the monitoring returned by the mobile monitoring device is obtained; The second multimodal information is represented in the basic model to obtain the BIM model of the highway tunnel construction site.

3. The method for early warning of safety risks in highway tunnel construction based on BIM model as described in claim 2, characterized in that, The supplementary monitoring tasks, based on the basic model, include: Based on the supplementary monitoring point search rules, supplementary monitoring points are searched in the basic model; Based on the planning conditions of the supplementary data acquisition circle, a supplementary data acquisition circle is planned in the basic model; the supplementary data acquisition circle contains supplementary monitoring points. The generation of supplementary monitoring tasks includes: going to the center of the supplementary collection circle to conduct supplementary monitoring of the supplementary monitoring points contained within the supplementary collection circle; The supplementary data collection circle planning conditions include: When the mobile monitoring device performs supplementary monitoring on the supplementary monitoring points included within the supplementary monitoring circle at the center of the supplementary monitoring circle, the mobile monitoring device meets the supplementary monitoring requirements for all supplementary monitoring points included within the supplementary monitoring circle; and, The straight-line distance between any two supplementary monitoring points within the same supplementary data collection circle is less than or equal to a distance threshold; and... The supplementary monitoring points included in the same supplementary data collection area belong to the same on-site scene space; and, The environmental weight of a point in the same supplementary collection circle that contains at least a threshold number of supplementary monitoring points is greater than or equal to the weight threshold.

4. The method for early warning of safety risks in highway tunnel construction based on BIM model as described in claim 3, characterized in that, The steps for obtaining the environmental weights of the supplementary monitoring points are as follows: Environmental characteristic information of supplementary monitoring points is determined from the basic model; Identify information items of the same feature type from environmental feature information; Determine the first weight value corresponding to the information item from the weight library and associate it with the corresponding feature type; Perform predictive processing on the information items to obtain predicted information items; Determine the second weight value corresponding to the predicted information item from the weight library and associate it with the corresponding feature type; The environmental weight of the supplementary monitoring points is calculated using the following formula: ； ； in, To supplement the environmental weights of the monitoring points, For the first The first weight value associated with each feature type, For the first The second weight value associated with each feature type The total number of feature types, and The preset weight values, It is an intermediate variable.

5. The method for early warning of safety risks in highway tunnel construction based on BIM model as described in claim 1, characterized in that, Also includes: When early warning personnel access the BIM model, their historical personnel profile information is obtained. Based on historical personnel profile information, the recommended viewing angles for viewing the BIM model are provided to personnel in the early warning system. Guide early warning personnel to view the BIM model from a viewing perspective.

6. The method for early warning of safety risks in highway tunnel construction based on BIM model as described in claim 5, characterized in that, The method of recommending viewing angles for the BIM model to early warning personnel based on historical personnel profile information includes: When the historical personnel profile information changes at least a threshold number of times within the most recent target time period, the continuous change information items of the historical personnel profile information within the most recent target time period are obtained. Determine the first content search rule corresponding to the continuously changing information item from the first content search rule base; Based on the first content search rule, the first essential content to view is searched from the BIM model; Feature descriptions are performed on the first essential viewing content, the regional positional relationships between the content display areas of the first essential viewing content in the BIM model, and historical personnel profile information to obtain feature description vectors; Determine the second content search rule corresponding to the feature description vector from the second content search rule base; Based on the second content search rule, the second essential content to be viewed is searched from the BIM model; Create a viewing perspective in the BIM model; within the field of view of the viewing perspective, fully visualize the first and second essential viewing contents.

7. A highway tunnel construction safety risk early warning system based on BIM model, characterized in that, include: The building module is used to create a BIM model of a highway tunnel construction site; The detection module is used to detect construction safety risk events in the BIM model; The early warning module is used to provide early warnings of construction safety risk events at highway tunnel construction sites.

8. The highway tunnel construction safety risk early warning system based on BIM model as described in claim 7, characterized in that, The building module constructs a BIM model of the highway tunnel construction site, including: Acquire the first multimodal information monitored by the sensor network pre-deployed within the highway tunnel construction site; The first multimodal information is represented in the BIM map model of the highway tunnel construction site to obtain the basic model; Based on the basic model, formulate supplementary monitoring tasks; To control the mobile monitoring equipment pre-equipped within the highway tunnel construction site to perform supplementary monitoring tasks; After the mobile monitoring device completes the supplementary monitoring task, the second multimodal information of the monitoring returned by the mobile monitoring device is obtained; The second multimodal information is represented in the basic model to obtain the BIM model of the highway tunnel construction site.

9. The highway tunnel construction safety risk early warning system based on BIM model as described in claim 7, characterized in that, The building module, based on the base model, defines supplementary monitoring tasks, including: Based on the supplementary monitoring point search rules, supplementary monitoring points are searched in the basic model; Based on the planning conditions of the supplementary data acquisition circle, a supplementary data acquisition circle is planned in the basic model; the supplementary data acquisition circle contains supplementary monitoring points. The generation of supplementary monitoring tasks includes: going to the center of the supplementary collection circle to conduct supplementary monitoring of the supplementary monitoring points contained within the supplementary collection circle; The supplementary data collection circle planning conditions include: When the mobile monitoring device performs supplementary monitoring on the supplementary monitoring points included within the supplementary monitoring circle at the center of the supplementary monitoring circle, the mobile monitoring device meets the supplementary monitoring requirements for all supplementary monitoring points included within the supplementary monitoring circle; and, The straight-line distance between any two supplementary monitoring points within the same supplementary data collection circle is less than or equal to a distance threshold; and... The supplementary monitoring points included in the same supplementary data collection area belong to the same on-site scene space; and, The environmental weight of a point in the same supplementary collection circle that contains at least a threshold number of supplementary monitoring points is greater than or equal to the weight threshold.

10. The highway tunnel construction safety risk early warning system based on BIM model as described in claim 9, characterized in that, The steps for obtaining the environmental weights of the supplementary monitoring points are as follows: Environmental characteristic information of supplementary monitoring points is determined from the basic model; Identify information items of the same feature type from environmental feature information; Determine the first weight value corresponding to the information item from the weight library and associate it with the corresponding feature type; Perform predictive processing on the information items to obtain predicted information items; Determine the second weight value corresponding to the predicted information item from the weight library and associate it with the corresponding feature type; The environmental weight of the supplementary monitoring points is calculated using the following formula: ； ； in, To supplement the environmental weights of the monitoring points, For the first The first weight value associated with each feature type, For the first The second weight value associated with each feature type The total number of feature types, and The preset weight values, It is an intermediate variable.

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