Hospital intelligent construction management system based on BIM

Abstract

The invention relates to the field of safety management of constructional engineering, in particular to a hospital intelligent construction management system based on BIM, and the system comprises an environment analysis unit which is used for determining an environment danger characterization value according to a construction complexity coefficient and an equipment conflict coefficient, and determining the region type of each monitoring region according to the environment danger characterization value; the generation and analysis unit is used for judging an area generation mode according to the staying degree of the personnel; the region division unit is used for responding to different region confirmation conditions to correspondingly determine monitoring regions; the safety monitoring unit is used for determining whether the target person is a key monitoring person according to the person behavior abnormal value and the danger coefficient of the corresponding working range, and determining a corresponding associated person according to the safety distance between the key monitoring person and other target persons; information data of the key monitoring personnel and the corresponding associated personnel are uploaded to a data storage unit; the safety management efficiency in the construction process is improved.

Description

Technical Field

[0001] This invention relates to the field of construction safety management, and in particular to a BIM-based intelligent construction management system for hospitals. Background Technology

[0002] Construction safety, as a core management aspect of the construction industry, directly impacts the smooth implementation of projects. Current traditional construction safety management models generally suffer from lax supervision, delayed risk warnings, and inaccurate location tracking. The introduction of BIM technology significantly improves safety management efficiency during construction by establishing a real-time data exchange channel between the construction site and management. Data processing is one of its key technologies, and data processing efficiency is positively correlated with safety supervision efficiency. However, existing BIM safety supervision systems often struggle with simulating complex construction scenarios due to delays in the model's intelligent identification of dynamic risks and the inability to effectively process massive amounts of data. Therefore, how to effectively process data to achieve precise control over key locations and hazardous areas on site, thereby achieving effective safety supervision, is a critical technical problem that urgently needs to be solved by those skilled in the art.

[0003] Chinese Patent Publication No. CN109033721A discloses a BIM-based construction site hazard control and safety protection system, including: a site identification and detection module, a detection data processing terminal, a hazard source and safety protection processing module, and an information storage module. A safety information model is established before construction begins, with standardized parameters for hazards and safety protection attached to the model and marked one-to-one on the construction site. However, this solution suffers from the following problems: it fails to consider the impact of personnel movement and the operational status of construction equipment on construction safety, resulting in poor safety supervision. Summary of the Invention

[0004] To address this issue, the present invention provides a BIM-based intelligent construction management system for hospitals, which overcomes the problem in existing technologies that fail to consider the impact of the movement of target personnel and the working status of construction equipment on construction safety in the actual scenario, thus leading to poor safety supervision.

[0005] To achieve the above objectives, this invention provides a BIM-based intelligent construction management system for hospitals, comprising: The environmental analysis unit is used to determine the environmental hazard characterization value based on the construction complexity coefficient and equipment conflict coefficient, and to determine the regional category of each monitoring area as either a Class I or Class II area based on the environmental hazard characterization value. The generation and analysis unit is used to determine the area based on the degree of personnel stay. The generation method is to determine the monitoring area based on the distribution of heat points or to generate the monitoring area based on the line integration degree. The region division unit, connected to the generation and analysis unit, is used to respond to the first region confirmation condition, execute the thermal dwell point aggregation analysis strategy, and record the aggregation range of each thermal dwell point as a monitoring region; respond to the second region confirmation condition, and determine whether it is a monitoring region based on the overlap of the effective lines and the range of the effective lines; and determine whether it is an effective line based on the movement length and movement frequency. The safety monitoring unit, which is connected to the environmental analysis unit, the generation analysis unit and the area division unit, is used to determine whether the target personnel are key monitoring personnel based on the abnormal values ​​of personnel behavior and the corresponding risk coefficient of the work area, to determine the corresponding associated personnel based on the safe distance between the key monitoring personnel and other target personnel, and to identify and mark the associated personnel. A data storage unit, connected to the security monitoring unit, is used to store information data of each key monitoring personnel and their corresponding related personnel, so that the data storage unit can construct a mapping relationship between each information data and the corresponding key monitoring personnel or related personnel.

[0006] Furthermore, the environmental analysis unit determines the environmental hazard characterization value based on the construction complexity coefficient and the equipment conflict coefficient; The environmental hazard characterization value is positively correlated with the construction complexity coefficient and the equipment conflict coefficient.

[0007] Furthermore, the environmental analysis unit determines the regional category of each monitoring area based on the environmental hazard characterization values; If the environmental hazard characterization value is greater than the preset environmental hazard characterization value, the monitoring area is classified as a Class I area. If the environmental hazard characterization value is less than or equal to the preset environmental hazard characterization value, the monitoring area is classified as a Class II area.

[0008] Furthermore, the generation and analysis unit determines the area generation method based on the number of people staying in the area; If the number of people staying is greater than the preset number of people staying, the area will be generated based on the distribution of heat points. If the number of people staying is less than or equal to the preset number of people staying, the area generation method is to generate the monitoring area based on the line integration status.

[0009] Furthermore, in response to the first region confirmation condition, the regional division unit executes a thermal residence point clustering analysis strategy to obtain several thermal residence point clustering ranges; The heat retention point aggregation range is a rectangular area, and any heat retention point within this rectangular area corresponds to at least one other heat retention point at a distance less than a preset distance. The aggregation range of each heat retention point is recorded as the monitoring area. The first area confirmation condition is that the area confirmation method is to generate the monitoring area based on the distribution status of heat points.

[0010] Furthermore, in response to the second region confirmation condition, the region division unit determines the line integration status based on the overlap of the effective lines and the effective line range, and records the target region corresponding to the line integration status of the effective lines being greater than the preset overlap and the effective line range being greater than the preset effective line range as the monitoring region. The second area confirmation condition is that the area confirmation method is to generate the monitoring area based on the line integration status.

[0011] Furthermore, for the movement route of a single target person, the area division unit determines whether the movement route is a valid route based on the movement length and movement frequency; If the moving length is greater than the preset moving length and the moving frequency is greater than the preset moving frequency, then the moving line is a valid line. If the moving length is less than or equal to the preset moving length or the moving frequency is less than or equal to the preset moving frequency, then the moving line is an invalid line.

[0012] Furthermore, the safety monitoring unit determines whether a person is a key monitoring person based on the abnormal value of the person's behavior and the corresponding risk coefficient of the work area, and records the target personnel whose abnormal value of the person's behavior is greater than the preset abnormal value of the person's behavior or whose risk coefficient in the work area is greater than the preset risk coefficient as key monitoring personnel.

[0013] Furthermore, the safety monitoring unit uses the location of the key monitoring personnel as the starting detection point to detect the safe distance between the key monitoring personnel and other target personnel, and records other target personnel whose safe distance is less than the preset safe distance as the associated personnel corresponding to the key monitoring personnel, and identifies the associated personnel corresponding to the key monitoring personnel.

[0014] Furthermore, it also includes a data storage unit for storing information data of each of the key monitoring personnel and their corresponding related personnel; The security monitoring unit is also used to upload the information data of each key monitoring personnel and their corresponding related personnel to the data storage unit, so that the data storage unit can construct a mapping relationship between each information data and the corresponding key monitoring personnel or related personnel.

[0015] Compared with the prior art, the beneficial effects of the present invention are that the environmental hazard characterization value is determined according to the construction complexity coefficient and the equipment conflict coefficient in the technical solution of the present invention. The construction complexity coefficient and the equipment conflict coefficient reflect the dangerous situation in the actual construction scenario. The area category of each monitoring area is determined according to the environmental hazard characterization value, which avoids the problem that a single area category is difficult to meet the needs of the actual scenario, resulting in poor efficiency of subsequent safety management and improving the safety supervision effect.

[0016] Furthermore, in the technical solution of this invention, the method of determining the area based on the degree of personnel stay is to determine the monitoring area based on the distribution of heat points or the integration status of the line. The degree of personnel stay reflects the duration of the target personnel's behavior in the area and corresponds to different area generation methods. This avoids the problem that a single area generation method is difficult to meet the actual construction scenario, resulting in unreasonable area generation, and improves the rationality and accuracy of area generation.

[0017] Furthermore, the technical solution of this invention reflects the working activity status of the target personnel through the distribution status of heat points, determines the line integration status based on the overlap and range of effective lines, and reflects the maximum coverage of effective lines through the overlap and distribution status of effective lines and the range of effective lines. This avoids the problem that a single method of determining the line integration status is difficult to effectively represent the actual situation, resulting in low accuracy in the determination of the monitoring area, thereby improving the safety supervision effect within the regulatory area.

[0018] Furthermore, in the technical solution of this invention, whether a person is a key monitoring person is determined based on the abnormal value of the person's behavior and the corresponding risk coefficient of the work area. The abnormal value of the person's behavior and the risk coefficient of multiple environments are used to predict whether the person is in a dangerous state. The identified key monitoring personnel are used as the detection center to detect the corresponding related personnel. This avoids the radiation effect of the dangerous state of the key monitoring personnel on the safety state of the related personnel. The key monitoring personnel and related personnel are identified, marked and uploaded to the system, which effectively improves the comprehensiveness and effectiveness of the safety supervision of the target personnel. Attached Figure Description

[0019] Figure 1 This is a unit connection diagram of the BIM-based intelligent construction management system for hospitals according to the present invention. Figure 2 This is a flowchart illustrating how the present invention determines the regional category of each monitoring area based on environmental hazard characterization values; Figure 3 This is a flowchart illustrating the method for generating an area based on the degree of human dwell time in this invention. Figure 4 This is a flowchart illustrating how the present invention determines whether a moving route is a valid route based on the moving length and the moving frequency. Detailed Implementation

[0020] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0021] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0022] It should be noted that in the description of this invention, the terms "upper", "lower", "left", "right", "inner", "outer", etc., which indicate directions or positional relationships, are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and is not intended to indicate or imply that the device or element must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation of this invention.

[0023] Furthermore, it should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0024] Please see Figures 1 to 4 As shown, this invention provides a BIM-based intelligent construction management system for hospitals, including: The environmental analysis unit is used to determine the environmental hazard characterization value based on the construction complexity coefficient and equipment conflict coefficient, and to determine the regional category of each monitoring area as either a Class I or Class II area based on the environmental hazard characterization value. The generation and analysis unit is used to determine the area based on the degree of personnel stay. The generation method is to determine the monitoring area based on the distribution of heat points or to generate the monitoring area based on the line integration degree. The region division unit, connected to the generation and analysis unit, is used to respond to the first region confirmation condition, execute the thermal dwell point aggregation analysis strategy, and record the aggregation range of each thermal dwell point as a monitoring region; respond to the second region confirmation condition, and determine whether it is a monitoring region based on the overlap of the effective lines and the range of the effective lines; and determine whether it is an effective line based on the movement length and movement frequency. The safety monitoring unit, which is connected to the environmental analysis unit, the generation analysis unit, and the area division unit, is used to determine whether a target person is a key monitoring person based on abnormal values ​​of personnel behavior and the corresponding risk coefficient of the work area, and to determine the corresponding associated personnel based on the safe distance between the key monitoring person and other target personnel, and to perform identification and data marking processing.

[0025] This invention is applied in construction sites. The area includes a monitoring area and other areas, which are uniformly divided into several rectangular areas of equal size. To address situations where uniform division is not possible, errors in the area of ​​the rectangular areas are permissible, provided the error falls within the maximum permissible error range. Users can adaptively set the maximum permissible error range based on their specific application scenario. This invention provides a method for determining the maximum permissible error range: extracting the corresponding permissible error range from historical records that meet user requirements, filtering out outliers, and recording the maximum value of the permissible error range after removing outliers as the maximum permissible error range. This invention provides a maximum permissible error range where the rectangular area does not exceed ±6% of the theoretical value.

[0026] This invention provides several monitoring cycles, the duration of which can be adaptively set by the user according to actual application needs. This invention provides a value for the duration of a single monitoring cycle, which is 30 minutes.

[0027] This invention utilizes several historical records. Each historical record includes at least the allowable error range, environmental hazard characterization value, personnel dwell time, distance, overlap, effective route range, movement length, movement frequency, abnormal personnel behavior values, hazard coefficient, and safe distance. Each historical record is also marked with a pass / fail flag, indicating whether the historical record meets user requirements. Whether a historical record meets user requirements can be determined, but is not limited to, based on whether the frequency of hazards occurring during the safety monitoring process meets the user's requirements for safety supervision effectiveness. Determining whether a historical record meets user requirements based on self-defined indicators is a concept already understood by those skilled in the art and is not limited here.

[0028] Specifically, the environmental analysis unit determines the environmental hazard characterization value based on the construction complexity coefficient and the equipment conflict coefficient; The environmental hazard characterization value is positively correlated with the construction complexity coefficient and the equipment conflict coefficient.

[0029] Environmental hazard characterization value = α1 × construction complexity coefficient + α2 × equipment conflict coefficient; where α1 is the first weight coefficient and α2 is the second weight coefficient. The values ​​of α1 and α2 can be set directly by the user based on domain experience, or by using statistical methods such as regression analysis or principal component analysis (PCA) to determine the contribution of ambient temperature and capacitor temperature to the temperature characterization coefficient, thereby determining the corresponding weight coefficient values. The greater the contribution, the greater the weight coefficient value. The weights can also be adjusted through historical data training (such as machine learning).

[0030] The construction complexity coefficient is determined as follows: Construction complexity coefficient = Intersection time of work processes / The sum of the times for the overlapping portions of any two processes is recorded as the process overlap time. d represents the time required to complete the c-th process alone, and d represents the number of processes within a single monitoring cycle.

[0031] Equipment conflict coefficient = ;in, Let be the sub-device conflict coefficient at the 'a'-th detection time. The sub-device conflict coefficient = number of dangerous intervals / number of intervals. Here, the interval between any two mobile devices within a single monitoring cycle is measured, and intervals less than or equal to a preset interval are recorded as dangerous intervals. The number of intervals = m × (m-1) / 2; where m is the number of mobile devices in the monitoring area at the detection time. 'b' represents the number of detection times within a single monitoring cycle. The value of 'b' can be adaptively set by the user according to actual application needs. It is understood that the higher the accuracy requirement of the device conflict coefficient, the larger the value of 'b'. This invention provides a value for the number of detection times, where b = 8.

[0032] Specifically, the environmental analysis unit determines the regional category of each monitoring area based on the environmental hazard characterization values; If the environmental hazard characterization value is greater than the preset environmental hazard characterization value, the monitoring area is classified as a Class I area. If the environmental hazard characterization value is less than or equal to the preset environmental hazard characterization value, the monitoring area is classified as a Class II area.

[0033] The preset environmental hazard characterization value can be adaptively set by the user according to actual needs. It is understood that the complexity of construction and the degree of equipment conflict will affect the degree of environmental hazard. The smaller the user's tolerance for the impact of the degree of environmental hazard, the smaller the preset environmental hazard characterization value. This invention provides a method for setting the preset environmental hazard characterization value, which extracts the corresponding environmental hazard characterization value in the historical records that meet the user's needs, filters out the outliers, and records the average value of the environmental hazard characterization value after removing the outliers as the preset environmental hazard characterization value.

[0034] Specifically, the generation and analysis unit determines the area generation method based on the number of people staying in the area; If the number of people staying is greater than the preset number of people staying, the area will be generated based on the distribution of heat points. If the number of people staying is less than or equal to the preset number of people staying, the area generation method is to generate the monitoring area based on the line integration status.

[0035] For a single monitoring area, the average of the sub-dwelling rates over the most recent monitoring periods corresponding to that area is recorded as the personnel dwell rate for that monitoring area. Specifically, for a single monitoring period, the sub-dwelling rate = Where Li is the continuous dwell time of the i-th target person in the monitoring area, n is the number of target people in the monitoring area, and the monitoring time is the duration of a single monitoring cycle. The value of the monitoring time can be adaptively set by the user according to the actual application needs. It can be understood that the higher the user's requirement for the accuracy of the person's dwell time, the larger the value of the monitoring time. This invention provides a value of monitoring time, in which the monitoring time = 30min.

[0036] The method for confirming the continuous stay duration is as follows: the stay duration of each target person in the monitoring area, and the maximum stay duration is recorded as the continuous stay duration corresponding to that target person; the stay duration of the target persons in the monitoring area is extracted, and the number of target persons whose stay duration is greater than the preset stay duration is recorded as the number of target persons in the monitoring area.

[0037] The preset dwell time can be set by the user according to the actual application needs. It is understood that the higher the user’s requirements for the accuracy of the sub-dwelling degree of the monitoring period, the smaller the preset dwell time will be. This invention provides a method for setting the preset dwell time, which extracts the corresponding dwell time in the historical records that meet the user’s needs, filters out the outliers, and records the average dwell time after removing the outliers as the preset dwell time.

[0038] The preset personnel dwell time value can be adaptively set by the user according to the actual application needs. It can be understood that the smaller the user's tolerance for the impact of the area generation method, the smaller the preset personnel dwell time value. This invention provides a method for setting the preset personnel dwell time value, which extracts the corresponding personnel dwell time value in the historical records that meet the user's needs, filters out the outliers, and records the average value of the personnel dwell time value after removing the outliers as the preset personnel dwell time value.

[0039] Specifically, in response to the first region confirmation condition, the regional division unit executes a thermal residence point clustering analysis strategy to obtain several thermal residence point clustering ranges; The heat retention point aggregation range is a rectangular area, and any heat retention point within this rectangular area corresponds to at least one other heat retention point at a distance less than a preset distance. The aggregation range of each heat retention point is recorded as the monitoring area. The first area confirmation condition is that the area confirmation method is to generate the monitoring area based on the distribution status of heat points.

[0040] The center point of the movement range of the target personnel within the monitoring area is recorded as the thermal dwell point corresponding to the target personnel. The thermal dwell point clustering analysis strategy is to perform several clustering analyses to obtain several thermal dwell point clustering ranges. Specifically, a single clustering analysis is performed by taking the location of any thermal dwell point not included in the thermal dwell point clustering range as the starting detection point and performing distance detection. The distance detection involves detecting the distance between the starting detection point and other thermal dwell points. Other thermal dwell points with a distance less than a preset distance are then recorded as starting detection points again, and distance detection continues until there are no other thermal dwell points with a distance less than the preset distance corresponding to the current starting detection point. The single clustering analysis ends, and the smallest rectangle that can include the thermal dwell points corresponding to each distance detection in this clustering analysis is recorded as a thermal dwell point clustering range.

[0041] The preset distance can be set adaptively by the user according to the actual application needs. It can be understood that the greater the user's tolerance for the impact on the monitoring area, the smaller the preset distance will be. This invention provides a method for setting the preset distance by extracting the corresponding distance from the historical records that meet the user's needs, filtering out the outliers, and recording the average value of the distance after removing the outliers as the preset distance.

[0042] Specifically, the area division unit responds to the second area confirmation condition, determines the line integration status based on the overlap of effective lines and the effective line range, and records the target area corresponding to the line integration status of effective lines being greater than the preset overlap and effective line range being greater than the preset effective line range as the monitoring area. The second area confirmation condition is that the area confirmation method is to generate the monitoring area based on the line integration status.

[0043] The overlap is determined by the following formula: Overlap = Number of intersections / Line length; The line length is the minimum value of the corresponding line lengths of multiple movable lines. The area of ​​the smallest rectangle that can cover all valid lines is denoted as the valid line range.

[0044] Users can adaptively set the preset overlap and preset effective line range values ​​according to actual application needs. It is understood that the higher the user's requirement for the accuracy of the monitoring area division, the larger the preset overlap and preset effective line range values ​​will be. This invention provides a method for setting the preset overlap and preset effective line range values, which extracts the corresponding overlap and effective line range from the historical records that meet the user's needs, filters out outliers, and records the average values ​​of the overlap and effective line range after removing outliers as the preset overlap and preset effective line range, respectively.

[0045] Specifically, for the movement route of a single target person, the area division unit determines whether the movement route is a valid route based on the movement length and movement frequency; If the moving length is greater than the preset moving length and the moving frequency is greater than the preset moving frequency, then the moving line is a valid line. If the moving length is less than or equal to the preset moving length or the moving frequency is less than or equal to the preset moving frequency, then the moving line is an invalid line.

[0046] All target personnel are equipped with a positioning acquisition device. In this invention, the positioning acquisition device is a UVB tag, which is fixed to the safety helmet worn by the target personnel. The data collected by the positioning acquisition device is preprocessed and recorded as trajectory data. The trajectory data in the most recent monitoring period is extracted, and the trajectory line corresponding to the trajectory data is recorded as the movement line of the target personnel in the monitoring period. The length of the movement line of a single target personnel is recorded as the movement length. For a single movement line, the number of times the movement line is walked is recorded as the movement frequency of the movement line. Users can adaptively set the preset moving length and preset moving frequency values ​​according to actual application scenarios. It is understood that the greater the impact of moving length and moving frequency on the effectiveness of the line, the smaller the preset moving length and preset moving frequency values ​​should be. This invention provides a method for setting preset moving length and preset moving frequency values, which extracts the corresponding moving length and moving frequency from the historical records that meet the user's needs, filters out outliers, and records the average values ​​of the moving length and moving frequency after removing outliers as the preset moving length and preset moving frequency, respectively.

[0047] Specifically, the safety monitoring unit determines whether a person is a key monitoring person based on the abnormal value of their behavior and the corresponding risk coefficient of their work area, and records the target personnel whose abnormal value of behavior is greater than the preset abnormal value of personnel behavior or whose risk coefficient in their work area is greater than the preset risk coefficient as key monitoring personnel.

[0048] Abnormal values ​​of personnel behavior = Where M represents the number of tests within a single monitoring cycle. The current activity level is represented by z, which represents the historical average activity level within a single monitoring period. The current activity level is confirmed by binding each component in the BIM model with the task items in the construction plan, and adding metadata such as the planned start time, planned end time, and actual completion time for each component. This allows for the quantification of the progress status corresponding to different processes. A millimeter-level precision 3D point cloud of the construction site is generated using LiDAR, and the 3D point cloud is aligned with the BIM model. The current work progress is then recorded as the current activity level.

[0049] Risk factor = |Environmental hazard characterization value - Preset environmental hazard characterization value|; Users can adaptively set the preset values ​​for abnormal personnel behavior and preset risk coefficients according to actual application scenarios. It is understood that the greater the influence of abnormal personnel behavior values ​​and the risk coefficient of the work area on the determination of key monitoring personnel, the smaller the preset values ​​for abnormal personnel behavior and the smaller the preset risk coefficients will be. This invention provides a method for setting preset values ​​for abnormal personnel behavior and preset risk coefficients, which extracts the corresponding abnormal personnel behavior values ​​and risk coefficients from the historical records that meet the user's needs, filters out the abnormal values, and records the average values ​​of the abnormal personnel behavior values ​​and risk coefficients after removing the abnormal values ​​as the preset abnormal personnel behavior values ​​and preset risk coefficients, respectively.

[0050] Specifically, the safety monitoring unit uses the location of the key monitoring personnel as the starting detection point to detect the safe distance between the key monitoring personnel and other target personnel, and records other target personnel whose safe distance is less than the preset safe distance as the associated personnel corresponding to the key monitoring personnel, and identifies the associated personnel corresponding to the key monitoring personnel.

[0051] The safe distance between key monitoring personnel and other target personnel is the minimum straight-line distance between key monitoring personnel and other target personnel.

[0052] The preset safety distance can be set adaptively by the user according to the actual application scenario. It can be understood that the present invention identifies the associated personnel in the monitoring area that meets the safety distance. The greater the user's need for the associated personnel of key monitoring, the smaller the preset safety distance will be. The present invention provides a method for setting the preset safety distance, which extracts the corresponding safety distance in the historical records that meet the user's needs, filters out the outliers, and records the average value of the safety distance after removing the outliers as the preset safety distance.

[0053] Specifically, it also includes a data storage unit, which is used to store information data of each of the key monitoring personnel and their corresponding related personnel; The security monitoring unit is also used to upload the information data of each key monitoring personnel and their corresponding related personnel to the data storage unit, so that the data storage unit can construct a mapping relationship between each information data and the corresponding key monitoring personnel or related personnel.

[0054] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

[0055] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A BIM-based intelligent construction management system for hospitals, characterized in that, include: The environmental analysis unit is used to determine the environmental hazard characterization value based on the construction complexity coefficient and equipment conflict coefficient, and to determine the regional category of each monitoring area as either a Class I or Class II area based on the environmental hazard characterization value. The generation and analysis unit is used to determine the area based on the degree of personnel stay. The generation method is to determine the monitoring area based on the distribution of heat points or to generate the monitoring area based on the line integration degree. A region division unit, which is connected to the generation and analysis unit, is used to respond to the first region confirmation condition, execute the thermal residence point aggregation analysis strategy, and record the aggregation range of each thermal residence point as a monitoring region. The response to the second area confirmation condition is used to determine whether it is a monitoring area based on the overlap of the effective lines and the range of the effective lines; And determine whether it is a valid line based on the length and frequency of movement; The safety monitoring unit is connected to the environmental analysis unit, the generation analysis unit, and the area division unit. It is used to determine whether a target person is a key monitoring person based on abnormal values ​​of personnel behavior and the corresponding risk coefficient of the work area, to determine the corresponding associated persons based on the safe distance between the key monitoring person and other target persons, and to upload the information data of the key monitoring person and the corresponding associated persons to the data storage unit for information data storage. A data storage unit, connected to the security monitoring unit, is used to store information data of each key monitoring personnel and their corresponding related personnel, so that the data storage unit can construct a mapping relationship between each information data and the corresponding key monitoring personnel or related personnel.

2. The BIM-based intelligent construction management system for hospitals according to claim 1, characterized in that, The environmental analysis unit determines the environmental hazard characterization value based on the construction complexity coefficient and the equipment conflict coefficient. The environmental hazard characterization value is positively correlated with the construction complexity coefficient and the equipment conflict coefficient.

3. The BIM-based intelligent construction management system for hospitals according to claim 2, characterized in that, The environmental analysis unit determines the regional category of each monitoring area based on the environmental hazard characterization values; If the environmental hazard characterization value is greater than the preset environmental hazard characterization value, the monitoring area is classified as a Class I area. If the environmental hazard characterization value is less than or equal to the preset environmental hazard characterization value, the monitoring area is classified as a Class II area.

4. The BIM-based intelligent construction management system for hospitals according to claim 3, characterized in that, The analysis unit determines the area generation method based on the number of people staying in the area. If the number of people staying is greater than the preset number of people staying, the area will be generated based on the distribution of heat points. If the number of people staying is less than or equal to the preset number of people staying, the area generation method is to generate the monitoring area based on the line integration status.

5. The BIM-based intelligent construction management system for hospitals according to claim 4, characterized in that, In response to the confirmation conditions of the first region, the regional division unit executes a thermal residence point clustering analysis strategy to obtain the clustering range of several thermal residence points; The heat retention point aggregation range is a rectangular area, and any heat retention point within this rectangular area corresponds to at least one other heat retention point at a distance less than a preset distance. The aggregation range of each heat retention point is recorded as the monitoring area. The first area confirmation condition is that the area confirmation method is to generate the monitoring area based on the distribution status of heat points.

6. The BIM-based intelligent construction management system for hospitals according to claim 4, characterized in that, The area division unit responds to the second area confirmation condition, determines the line integration status based on the overlap of effective lines and the effective line range, and designates the target area with the corresponding line integration status of effective line overlap greater than the preset overlap and effective line range greater than the preset effective line range as the monitoring area. The second area confirmation condition is that the area confirmation method is to generate the monitoring area based on the line integration status.

7. The BIM-based intelligent construction management system for hospitals according to claim 6, characterized in that, For the movement route of a single target person, the area division unit determines whether the movement route is a valid route based on the movement length and movement frequency; If the moving length is greater than the preset moving length and the moving frequency is greater than the preset moving frequency, then the moving line is a valid line. If the moving length is less than or equal to the preset moving length or the moving frequency is less than or equal to the preset moving frequency, then the moving line is an invalid line.

8. The BIM-based intelligent construction management system for hospitals according to claim 6, characterized in that, The safety monitoring unit determines whether a person is a key monitoring person based on the abnormal value of their behavior and the corresponding risk coefficient of their work area. Target personnel whose abnormal behavior value is greater than the preset abnormal value or whose risk coefficient within their work area is greater than the preset risk coefficient are recorded as key monitoring personnel.

9. The BIM-based intelligent construction management system for hospitals according to claim 8, characterized in that, The safety monitoring unit uses the location of the key monitoring personnel as the starting point to detect the safe distance between the key monitoring personnel and other target personnel, and records other target personnel whose safe distance is less than the preset safe distance as the associated personnel corresponding to the key monitoring personnel.

10. The BIM-based intelligent construction management system for hospitals according to claim 1, characterized in that, It also includes a data storage unit, which is used to store information data of each of the key monitoring personnel and their corresponding related personnel; The security monitoring unit is also used to upload the information data of each key monitoring personnel and their corresponding related personnel to the data storage unit, so that the data storage unit can construct a mapping relationship between each information data and the corresponding key monitoring personnel or related personnel.

Images