Hoisting construction control system for open-web sandwich plate structure

Abstract

The invention belongs to the technical field of hoisting management and control, and particularly relates to a hoisting construction control system for an open-web sandwich plate structure, which comprises a hoisting equipment integration module, an intelligent control adjustment module, a hoisting monitoring module, a hoisting risk evaluation module and a hoisting supervision end, according to the invention, an open-web sandwich plate structure is fixed and hoisted through the hoisting equipment integration module, the intelligent control module controls the hoisting process of a hoisting machine, and the hoisting monitoring module monitors the hoisting process of the open-web sandwich plate structure and sends monitoring information to the hoisting risk assessment module; and the hoisting risk evaluation module comprehensively evaluates the hoisting risk based on the hoisting information, and enhances hoisting supervision and takes reasonable countermeasures when a hoisting high-risk signal is generated, so that the hoisting risk is reduced, hoisting safety accidents can be avoided, and the supervision difficulty in the hoisting process of the open-web sandwich plate structure is remarkably reduced.

Description

Technical Field

[0001] The invention relates to the technical field of hoisting control and management, and in particular to a hoisting construction control system for a hollow sandwich plate structure. Background Art

[0002] Hollow sandwich plate structure is a new type of building structure, mainly composed of upper ribs, lower ribs, shear keys and surface concrete thin plates. Hollow sandwich plate structure is widely used in various building systems due to its advantages of light weight, high strength, good seismic performance and high space utilization. At present, when hoisting hollow sandwich panel structures through hoisting equipment, it is difficult to fully monitor the hoisting process and make timely feedback and adjustments, and it is impossible to reasonably analyze and accurately judge the hoisting risks and potential impacts on hoisting safety, making it difficult to effectively avoid the occurrence of hoisting safety accidents and reduce the difficulty of hoisting supervision of hollow sandwich panel structures; In view of the above technical defects, a solution is now proposed. Summary of the invention

[0003] The purpose of the present invention is to provide a hoisting construction control system for hollow sandwich plate structures, which solves the problems that the prior art is difficult to comprehensively monitor the hoisting process and provide timely feedback and adjustments, and is unable to reasonably analyze and accurately judge the hoisting risks and potential impacts on hoisting safety, making it difficult to effectively avoid the occurrence of hoisting safety accidents and the difficulty of hoisting supervision.

[0004] To achieve the above object, the present invention provides the following technical solutions: A hoisting construction control system for hollow sandwich panel structures, including a hoisting equipment integration module, an intelligent control adjustment module, a hoisting monitoring module, a hoisting risk assessment module and a hoisting supervision terminal; The hoisting equipment integration module fixes the hollow sandwich panel structure through several sets of hoisting rigging and connectors. After the fixation is completed, the hollow sandwich panel structure is hoisted by the hoisting machine. The intelligent control module controls the hoisting process of the hoisting machine, including hoisting action, posture and speed. The hoisting monitoring module monitors the hoisting process of the hollow sandwich panel structure and sends the monitored hoisting information to the hoisting risk assessment module and the hoisting supervision terminal; The hoisting risk assessment module conducts a comprehensive assessment of the hoisting risk, and generates a high-risk hoisting signal or a low-risk hoisting signal accordingly, and sends the high-risk hoisting signal or the low-risk hoisting signal to the hoisting supervision end. When the hoisting supervision end receives the high-risk hoisting signal, it issues a corresponding warning.

[0005] Furthermore, the specific analysis process of the lifting risk assessment module includes: A number of detection time points are set within a unit time, the inclination of the empty sandwich plate structure at the corresponding detection time point is collected and marked as the hoisting inclination detection value, the shaking amplitude of the empty sandwich plate structure at the corresponding detection time point is collected and marked as the hoisting shaking detection value, and the actual hoisting speed of the empty sandwich plate structure at the corresponding detection time point is collected, and the deviation value of the actual hoisting speed compared with the corresponding preset hoisting speed standard value is marked as the hoisting speed deviation value; The lifting risk analysis value is obtained by numerically calculating the lifting tilt detection value, the lifting sway detection value and the lifting speed deviation value, and the lifting risk analysis value is numerically compared with the preset lifting risk analysis threshold. If the lifting risk analysis value exceeds the preset lifting risk analysis threshold, the corresponding detection time point is marked as the lifting hidden danger time point; The number of lifting hidden danger time points in unit time is obtained and the ratio is calculated with the total number of detection time points to obtain the lifting anomaly time share value, and the average of all lifting risk analysis values ​​in unit time is calculated to obtain the lifting risk table value, and the lifting anomaly time share value and the lifting risk table value are numerically compared with the preset lifting anomaly time share threshold and the preset lifting risk table threshold respectively. If the lifting anomaly time share value or the lifting risk table value exceeds the corresponding preset threshold, a lifting high risk signal is generated.

[0006] Furthermore, if the hoisting deviation time occupancy value and the hoisting risk table value do not exceed the corresponding preset threshold value, all deviation information of the hoisting path deviation of the empty sandwich plate structure in the unit time is obtained, and through analysis to determine whether to assign the path deviation symbol LP-1 to the corresponding path deviation process, the number of times the path deviation symbol LP-1 is assigned in the unit time is obtained and marked as the hoisting path deviation value; And the hoisting path deviation time value is obtained by summing up all the path deviation durations of the hoisting path deviation of the empty sandwich plate structure in unit time, and the hoisting path deviation amplitude value is obtained by averaging all the path deviation amplitudes of the hoisting path deviation of the empty sandwich plate structure in unit time; The lifting risk assessment coefficient is obtained by numerically calculating the lifting path outlier value, the lifting path outlier time value and the lifting path deviation amplitude value, and the lifting risk assessment coefficient is numerically compared with the preset lifting risk assessment coefficient threshold. If the lifting risk assessment coefficient exceeds the preset lifting risk assessment coefficient threshold, a lifting high risk signal is generated; if the lifting risk assessment coefficient does not exceed the preset lifting risk assessment coefficient threshold, a lifting low risk signal is generated.

[0007] Furthermore, the specific analysis process of determining whether to assign the path deviation symbol LP-1 to the corresponding path deviation process through analysis is as follows: When the lifting path deviation occurs, the path deviation duration and path deviation amplitude of the corresponding path deviation process are collected, and the path deviation duration and path deviation amplitude are numerically compared with the preset path deviation duration threshold and the preset path deviation amplitude threshold respectively. If the path deviation duration or the path deviation amplitude exceeds the corresponding preset threshold, the path deviation symbol LP-1 is assigned.

[0008] Furthermore, the hoisting risk assessment module is communicatively connected to the hoisting potential impact analysis module, and the hoisting risk assessment module sends a hoisting low risk signal to the hoisting potential impact analysis module. When the hoisting potential impact analysis module receives the hoisting low risk signal, it analyzes the potential impact degree of the hoisting process of the empty sandwich plate structure, and generates a potential high impact signal or a potential low impact signal through analysis, and sends the potential high impact signal or the potential low impact signal to the hoisting supervision end. When the hoisting supervision end receives the potential high impact signal, it issues a corresponding warning.

[0009] Furthermore, the specific analysis process of the lifting potential impact analysis module is as follows: The wind force detection value, electromagnetic interference detection value, precipitation detection value and light detection value of the environment in which the hollow sandwich plate structure is located during the hoisting process per unit time are collected, and the temperature average value of the area in which the hollow sandwich plate structure is located during the hoisting process per unit time is collected, and the temperature average value is compared with the median value of the set suitable temperature range to perform difference calculation and take the absolute value to obtain the temperature detection value; The environmental hazard value is obtained by numerically calculating the wind detection value, electromagnetic interference detection value, precipitation detection value, light detection value and temperature detection value, and the environmental hazard value is numerically compared with the preset environmental hazard threshold. If the environmental hazard value exceeds the preset environmental hazard threshold, a potential high-impact signal is generated.

[0010] Furthermore, if the environmental hazard value does not exceed the preset environmental hazard threshold, the ground position where the hoist is carried is collected and marked as the carrying position, and a risk area is delineated from the carrying position to the periphery; the risk area is monitored by a surveillance camera; Based on the surveillance video, regional risk decision analysis is performed to obtain the regional risk decision coefficient, and the regional risk decision coefficient is numerically compared with the preset regional risk decision coefficient threshold. If the regional risk decision coefficient exceeds the preset regional risk decision coefficient threshold, a potential high-impact signal is generated; if the regional risk decision coefficient does not exceed the preset regional risk decision coefficient threshold, a potential low-impact signal is generated.

[0011] Furthermore, the specific analysis process of regional risk decision analysis is as follows: Based on the surveillance video, the moving targets in the risk area are identified, and the movement duration, movement speed and the shortest distance to the carrying position of the moving targets in the risk area are marked as the movement time measurement value, movement speed measurement value and movement short distance value respectively. The movement risk value is obtained by numerically calculating the movement time measurement value, movement speed measurement value and movement short distance value. The motion risk value is numerically compared with the preset motion risk threshold. If the motion risk value exceeds the preset motion risk threshold, the corresponding motion process is marked as an alarm process, and the number of alarm processes per unit time is obtained and marked as the alarm number check value; The number of times the load-bearing position of the crane is impacted by the moving target per unit time is collected and marked as the load-bearing impact value, and the maximum impact force of the load-bearing position of the crane per unit time is marked as the load-bearing impulse value; the regional risk decision coefficient is obtained by numerically calculating the alarm number check value, the load-bearing impact value and the load-bearing impulse value.

[0012] Furthermore, the lifting potential impact analysis module is communicatively connected to the supervision analysis and evaluation module, and the lifting potential impact analysis module sends a potential low impact signal to the supervision analysis and evaluation module. When the supervision analysis and evaluation module receives the potential low impact signal, it analyzes the on-the-job performance of the supervisory personnel at the lifting supervision end, generates a supervision assessment qualified signal or a supervision assessment abnormal signal through the analysis, and sends the supervision assessment qualified signal or the supervision assessment abnormal signal to the lifting supervision end.

[0013] Furthermore, the specific analysis process of the regulatory analysis and evaluation module is as follows: The real-time position of the supervisor is obtained, and the distance between the real-time position of the supervisor and the position of the hoisting supervisor is calculated to obtain the man-machine distance detection value, and the man-machine distance detection value is numerically compared with the preset man-machine distance detection threshold. If the man-machine distance detection value exceeds the preset man-machine distance detection threshold, it is judged that the supervisor is in a man-machine separation state; The total time that the supervisor is in the human-machine separation state per unit time is collected and marked as the total human-machine separation time value, and the number of occurrences in which the single continuous time of the supervisor in the human-machine separation state per unit time exceeds the preset single continuous time threshold is marked as the human-machine separation dangerous frequency value; the total human-machine separation time value and the human-machine separation dangerous frequency value are numerically compared with the preset human-machine separation total time threshold and the preset human-machine separation dangerous frequency threshold respectively; if the total human-machine separation time value or the human-machine separation dangerous frequency value exceeds the corresponding preset threshold, a supervision assessment abnormal signal is generated; if both the total human-machine separation time value and the human-machine separation dangerous frequency value do not exceed the corresponding preset threshold, a supervision assessment qualified signal is generated.

[0014] Compared with the prior art, the present invention has the following beneficial effects: 1. In the present invention, the hollow sandwich panel structure is fixed and hoisted by the hoisting equipment integrated module, the intelligent control module controls the hoisting process of the hoisting machine, the hoisting monitoring module monitors the hoisting process of the hollow sandwich panel structure and sends the monitoring information to the hoisting risk assessment module, the hoisting risk assessment module conducts a comprehensive assessment of the hoisting risk based on the hoisting information, strengthens the hoisting supervision and takes reasonable response measures when a hoisting high risk signal is generated, reduces the hoisting risk, is conducive to avoiding the occurrence of hoisting safety accidents, and significantly reduces the supervision difficulty of the hoisting process of the hollow sandwich panel structure; 2. In the present invention, the hoisting low risk signal is sent to the hoisting potential impact analysis module through the hoisting risk assessment module, and the hoisting potential impact analysis module analyzes the potential impact degree of the hoisting process of the hollow sandwich plate structure. When the potential low impact signal is generated, the on-the-job performance of the supervisory personnel at the hoisting supervision end is analyzed through the supervision analysis and evaluation module. When the potential high impact signal or the supervision evaluation abnormal signal is generated, the hoisting operation supervision is strengthened to reduce the potential hidden danger degree of the hoisting process, ensure the safety and stability of the hoisting process, and further reduce the supervision difficulty of the hoisting process of the hollow sandwich plate structure. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings; Figure 1 This is a system block diagram of Embodiment 1 of the present invention; Figure 2 This is a system block diagram of Embodiment 2 and Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] Embodiment 1: Figure 1 As shown, the hoisting construction control system for the hollow sandwich plate structure proposed by the present invention includes a hoisting equipment integration module, an intelligent control adjustment module, a hoisting monitoring module, a hoisting risk assessment module and a hoisting supervision terminal; The hoisting equipment integration module fixes the hollow sandwich panel structure through several sets of hoisting rigging and connectors. After the fixation is completed, the hollow sandwich panel structure is hoisted by the hoisting machine. The intelligent control module controls the hoisting process of the hoisting machine, including the hoisting action (start, stop, rise, fall, forward, backward, etc.), posture (such as controlling the extension and retraction of the boom, the rotation angle, etc.) and speed.

[0018] The hoisting monitoring module monitors the hoisting process of the hollow sandwich panel structure and sends the monitored hoisting information to the hoisting risk assessment module and the hoisting supervision end; it should be noted that the hoisting monitoring module integrates several monitoring devices, mainly including inclination sensors, sway amplitude sensors, speed sensors and position sensors; Among them, the inclination sensor is used to monitor the inclination change of the hollow sandwich plate structure during the lifting process, and to measure and record the inclination angle at different detection points in real time; the sway amplitude sensor can capture and quantify the sway of the hollow sandwich plate structure at different time points, and measure and record the sway amplitude of the hollow sandwich plate structure during the lifting process; the speed sensor is used to monitor and record the actual lifting speed of the hollow sandwich plate structure; the position sensor is used to track and record the position information of the hollow sandwich plate structure during the lifting process to detect whether there is a path deviation. When a path deviation is detected, the position sensor can record the duration and deviation amplitude of the deviation process.

[0019] The hoisting risk assessment module conducts a comprehensive assessment of the hoisting risk based on the received hoisting information, generates a hoisting high risk signal or a hoisting low risk signal accordingly, and sends the hoisting high risk signal or the hoisting low risk signal to the hoisting supervision end; When the hoisting supervision end receives a high-risk hoisting signal, it issues a corresponding warning. The supervisor promptly strengthens the hoisting supervision and takes reasonable countermeasures to reduce the risk of hoisting, which is conducive to avoiding the occurrence of hoisting safety accidents and significantly reducing the difficulty of supervision during the hoisting process of the hollow sandwich plate structure. The specific analysis process of the hoisting risk assessment module is as follows: A number of detection time points are set within a unit time, and the interval between two adjacent detection time points is the same; the inclination of the empty sandwich plate structure at the corresponding detection time point is collected and marked as the hoisting inclination detection value, and the sway amplitude of the empty sandwich plate structure at the corresponding detection time point is collected and marked as the hoisting sway detection value, and the actual hoisting speed of the empty sandwich plate structure at the corresponding detection time point is collected, and the deviation value of the actual hoisting speed compared to the corresponding preset hoisting speed standard value is marked as the hoisting speed deviation value; By formula The lifting tilt inspection value QN, the lifting sway inspection value TM and the lifting speed deviation value YS are numerically calculated to obtain the lifting risk analysis value NP; wherein hy1, hy2 and hy3 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the lifting risk analysis value NP is, the greater the real-time lifting risk for the empty sandwich plate structure is; The hoisting risk analysis value NP is numerically compared with the preset hoisting risk analysis threshold. If the hoisting risk analysis value NP exceeds the preset hoisting risk analysis threshold, it indicates that the real-time hoisting risk for the hollow sandwich plate structure is greater, and the corresponding detection time point is marked as the hoisting hidden danger time point; The number of lifting hidden danger time points within a unit time is obtained and the ratio thereof is calculated with the total number of detection time points to obtain the lifting hidden danger time ratio value, and the average of all lifting risk analysis values ​​within a unit time is calculated to obtain the lifting risk table value; The lifting anomaly time occupancy value and the lifting risk table value are numerically compared with the preset lifting anomaly time occupancy threshold and the preset lifting risk table threshold respectively. If the lifting anomaly time occupancy value or the lifting risk table value exceeds the corresponding preset threshold, it indicates that the lifting risk of the empty sandwich plate structure per unit time is relatively high, and a lifting high risk signal is generated.

[0020] Furthermore, if the hoisting deviation time occupancy value and the hoisting risk table value do not exceed the corresponding preset threshold value, all deviation information of the hoisting path deviation of the empty sandwich plate structure in unit time is obtained. When the hoisting path deviation occurs, the path deviation time and path deviation amplitude of the corresponding path deviation process (that is, the average value of the path deviation distance in the corresponding deviation process) are collected, and the path deviation time and path deviation amplitude are numerically compared with the preset path deviation time threshold and the preset path deviation amplitude threshold respectively; If the path deviation duration or path deviation amplitude exceeds the corresponding preset threshold, it indicates that the corresponding lifting path deviation process brings about a greater safety hazard, then the path deviation symbol LP-1 is assigned, and the number of times the path deviation symbol LP-1 is assigned per unit time is obtained and marked as the lifting path deviation value; And the hoisting path deviation time value is obtained by summing up all the path deviation durations of the hoisting path deviation of the empty sandwich plate structure in unit time, and the hoisting path deviation amplitude value is obtained by averaging all the path deviation amplitudes of the hoisting path deviation of the empty sandwich plate structure in unit time; The lifting path deviation value WF, the lifting path deviation time value GS and the lifting path deviation amplitude value HF are numerically calculated by the formula DX=up1*WF+(up2*GS+up3*HF) / up1 to obtain the lifting risk assessment coefficient DX; wherein up1, up2 and up3 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the lifting risk assessment coefficient DX is, the greater the lifting risk per unit time is; The lifting risk assessment coefficient DX is numerically compared with the preset lifting risk assessment coefficient threshold. If the lifting risk assessment coefficient DX exceeds the preset lifting risk assessment coefficient threshold, it indicates that the lifting risk of the empty sandwich plate structure per unit time is relatively high, and a lifting high risk signal is generated; if the lifting risk assessment coefficient DX does not exceed the preset lifting risk assessment coefficient threshold, it indicates that the lifting risk of the empty sandwich plate structure per unit time is relatively low, and a lifting low risk signal is generated.

[0021] Embodiment 2: Figure 2As shown, the difference between this embodiment and the first embodiment is that the hoisting risk assessment module is connected to the hoisting potential impact analysis module in communication, and the hoisting risk assessment module sends a hoisting low risk signal to the hoisting potential impact analysis module. When the hoisting potential impact analysis module receives the hoisting low risk signal, it analyzes the potential impact degree of the hoisting process of the empty sandwich plate structure, and generates a potential high impact signal or a potential low impact signal through analysis; And send the potential high impact signal or potential low impact signal to the hoisting supervision end. When the hoisting supervision end receives the potential high impact signal, it will issue a corresponding warning to remind the supervisor to strengthen the supervision of the hoisting operation, reduce the potential hidden dangers of the hoisting process, ensure the safety and stability of the hoisting process, and further reduce the supervision difficulty of the hoisting process of the hollow sandwich plate structure. The specific analysis process of the hoisting potential impact analysis module is as follows: The wind force detection value (i.e., the data value of the average wind speed value), electromagnetic interference detection value (i.e., the data value of the average electromagnetic interference intensity value), precipitation detection value (i.e., the data value of the amount of rainfall and snowfall) and brightness detection value (i.e., the data value of the average light brightness value) of the environment in which the hollow sandwich plate structure is hoisted in a unit time are collected, and the temperature average value of the area in which the hollow sandwich plate structure is hoisted in a unit time is collected, and the difference between the temperature average value and the median value of the set suitable temperature range is calculated and the absolute value is taken to obtain the temperature detection value; The environmental hazard value YM is obtained by numerically calculating the wind detection value RL, the electromagnetic interference detection value GP, the precipitation detection value ZW, the light detection value GM and the temperature detection value WY through the formula YM=(sw1*RL+sw2*GP+sw3*ZW+sw4*GM+sw5*WY) / 5; wherein sw1, sw2, sw3, sw4 and sw5 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the environmental hazard value YM is, the more unfavorable the current environmental conditions are for the safe and stable lifting process; The environmental hazard value YM is numerically compared with the preset environmental hazard threshold. If the environmental hazard value YM exceeds the preset environmental hazard threshold, it indicates that the current environmental conditions are not conducive to the safe and stable progress of the lifting process, and a potential high-impact signal is generated.

[0022] Furthermore, if the environmental hazard value YM does not exceed the preset environmental hazard threshold, indicating that the current environmental conditions are conducive to the safe and stable lifting process, the ground position where the lifting machine is carried is collected and marked as the carrying position, and a risk area is delineated from the carrying position to the periphery, and the risk area is monitored by a surveillance camera; Perform regional risk decision analysis based on surveillance videos to obtain regional risk decision coefficients, specifically: identify moving targets (including animals, people, vehicles, etc.) in the risk area based on surveillance videos, and mark the movement duration, movement speed, and shortest distance to the carrying position of the corresponding movement process of the moving target in the risk area as movement time measurement value, movement speed measurement value, and movement short distance value, respectively, and obtain the movement risk value by numerically calculating the movement time measurement value, movement speed measurement value, and movement short distance value; The motion risk value is numerically compared with the preset motion risk threshold. If the motion risk value exceeds the preset motion risk threshold, the corresponding motion process is marked as an alarm process, and the number of alarm processes per unit time is obtained and marked as the alarm number check value; and collecting the number of times the load-bearing position of the crane is impacted by the moving target in a unit time and marking it as a load-bearing impact value, and marking the maximum impact force of the load-bearing position of the crane in a unit time as a load-bearing impact value; By formula The alarm number check value SN, the load impact value ZY and the load impulse value QP are numerically calculated to obtain the regional risk decision coefficient FW; wherein, rg1, rg2 and rg3 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the regional risk decision coefficient FW, the greater the position risk of the load position where the hoist is located, the more unfavorable it is to ensure its safe and stable operation, and the more serious the potential safety hazard of hoisting; The regional risk decision coefficient is numerically compared with the preset regional risk decision coefficient threshold. If the regional risk decision coefficient exceeds the preset regional risk decision coefficient threshold, it indicates that the position risk of the load-bearing position of the crane is relatively high and the existing hoisting safety hazards are relatively serious, then a potential high-impact signal is generated; if the regional risk decision coefficient does not exceed the preset regional risk decision coefficient threshold, it indicates that the position risk of the load-bearing position of the crane is relatively low and the existing hoisting safety hazards are not serious, then a potential low-impact signal is generated.

[0023] Embodiment 3: Figure 2 As shown, the difference between this embodiment and the first and second embodiments is that the lifting potential impact analysis module is connected to the supervision analysis and evaluation module in communication, and the lifting potential impact analysis module sends a potential low impact signal to the supervision analysis and evaluation module, and the supervision analysis and evaluation module analyzes the on-the-job performance of the supervisor at the lifting supervision end when receiving the potential low impact signal; By analyzing and generating a qualified supervision and assessment signal or an abnormal supervision and assessment signal, and sending the qualified supervision and assessment signal or the abnormal supervision and assessment signal to the hoisting supervision end, the supervision personnel are strengthened to control when the abnormal supervision and assessment signal is received, so as to ensure that various early warning information of the hoisting process can be handled in time, and the hoisting safety of the hollow sandwich plate structure can be further improved; the specific analysis process of the supervision analysis and assessment module is as follows: The real-time position of the supervisor is obtained, and the distance between the real-time position of the supervisor and the position of the hoisting supervisor is calculated to obtain the man-machine distance detection value, and the man-machine distance detection value is numerically compared with the preset man-machine distance detection threshold. If the man-machine distance detection value exceeds the preset man-machine distance detection threshold, it is judged that the supervisor is in a man-machine separation state; The total duration of the supervisor in the human-machine separation state within a unit time is collected and marked as the total human-machine separation time value, and the single duration of the supervisor in the human-machine separation state is compared with the corresponding preset single duration threshold, and the number of occurrences of the single duration of the supervisor in the human-machine separation state within a unit time exceeding the preset single duration threshold is marked as the human-machine separation risk frequency value; The total time value of human-machine separation and the frequency value of human-machine separation danger are numerically compared with the preset total time threshold value of human-machine separation and the preset frequency threshold value of human-machine separation danger. If the total time value of human-machine separation or the frequency value of human-machine separation danger exceeds the corresponding preset threshold, it indicates that the control status for the supervisor is poor, and a supervision evaluation abnormal signal is generated; if the total time value of human-machine separation and the frequency value of human-machine separation danger do not exceed the corresponding preset threshold, it indicates that the control status for the supervisor is good, and a supervision evaluation qualified signal is generated.

[0024] The working principle of the present invention is as follows: when in use, the hollow sandwich panel structure is fixed and hoisted by the hoisting equipment integrated module, the intelligent control module controls the hoisting process of the hoisting machine, the hoisting monitoring module monitors the hoisting process of the hollow sandwich panel structure and sends the monitoring information to the hoisting risk assessment module, the hoisting risk assessment module conducts a comprehensive assessment of the hoisting risk based on the hoisting information, and issues a corresponding early warning when a high-risk hoisting signal is generated, so as to remind the supervisory personnel to strengthen the hoisting supervision in time and take reasonable countermeasures, reduce the hoisting risk, and help avoid the occurrence of hoisting safety accidents, and significantly reduce the difficulty of supervision of the hoisting process of the hollow sandwich panel structure.

[0025] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A control system for the hoisting construction of hollow sandwich panel structures, characterized in that: It includes hoisting equipment integration module, intelligent control adjustment module, hoisting monitoring module, hoisting risk assessment module and hoisting supervision terminal; The hoisting equipment integration module fixes the hollow sandwich panel structure through several sets of hoisting rigging and connectors. After the fixation is completed, the hollow sandwich panel structure is hoisted by the hoisting machine. The intelligent control module controls the hoisting process of the hoisting machine, including hoisting action, posture and speed. The hoisting monitoring module monitors the hoisting process of the hollow sandwich panel structure and sends the monitored hoisting information to the hoisting risk assessment module and the hoisting supervision terminal; The hoisting risk assessment module conducts a comprehensive assessment of the hoisting risk, and generates a high-risk hoisting signal or a low-risk hoisting signal accordingly, and sends the high-risk hoisting signal or the low-risk hoisting signal to the hoisting supervision end. When the hoisting supervision end receives the high-risk hoisting signal, it issues a corresponding warning.

2. The hoisting construction control system for the hollow sandwich plate structure according to claim 1 is characterized in that: The specific analysis process of the lifting risk assessment module includes: A number of detection time points are set within a unit time, the inclination of the empty sandwich plate structure at the corresponding detection time point is collected and marked as the hoisting inclination detection value, the shaking amplitude of the empty sandwich plate structure at the corresponding detection time point is collected and marked as the hoisting shaking detection value, and the actual hoisting speed of the empty sandwich plate structure at the corresponding detection time point is collected, and the deviation value of the actual hoisting speed compared with the corresponding preset hoisting speed standard value is marked as the hoisting speed deviation value; The hoisting risk analysis value is obtained by numerically calculating the hoisting oblique detection value, the hoisting sway detection value and the hoisting speed deviation value. If the hoisting risk analysis value exceeds the preset hoisting risk analysis threshold, the corresponding detection time point will be marked as the hoisting hidden danger time point; the number of hoisting hidden danger time points per unit time is obtained and the ratio is calculated with the total number of detection time points to obtain the hoisting abnormal time share value, and the average of all hoisting risk analysis values ​​per unit time is calculated to obtain the hoisting risk table value. If the hoisting abnormal time share value or the hoisting risk table value exceeds the corresponding preset threshold, a hoisting high risk signal is generated.

3. The hoisting construction control system for the hollow sandwich plate structure according to claim 2 is characterized in that: If the hoisting deviation time occupancy value and the hoisting risk table value do not exceed the corresponding preset threshold value, all deviation information of the hoisting path deviation of the open sandwich plate structure in unit time is obtained, and through analysis to determine whether to assign the path deviation symbol LP-1 to the corresponding path deviation process, the number of times the path deviation symbol LP-1 is assigned in unit time is obtained and marked as the hoisting path deviation value; And the hoisting path deviation time value is obtained by summing up all the path deviation durations of the hoisting path deviation of the empty sandwich plate structure in unit time, and the hoisting path deviation amplitude value is obtained by averaging all the path deviation amplitudes of the hoisting path deviation of the empty sandwich plate structure in unit time; The lifting risk assessment coefficient is obtained by numerically calculating the lifting path deviation value, the lifting path deviation time value and the lifting path deviation amplitude value. If the lifting risk assessment coefficient exceeds the preset lifting risk assessment coefficient threshold, a lifting high risk signal is generated; If the lifting risk assessment coefficient does not exceed the preset lifting risk assessment coefficient threshold, a lifting low risk signal is generated.

4. The hoisting construction control system for the hollow sandwich plate structure according to claim 3 is characterized in that: The specific analysis process for determining whether to assign the path deviation symbol LP-1 to the corresponding path deviation process is as follows: When the hoisting path deviation occurs, the path deviation duration and path deviation amplitude of the corresponding path deviation process are collected. If the path deviation duration or path deviation amplitude exceeds the corresponding preset threshold, the path deviation symbol LP-1 is assigned.

5. The hoisting construction control system for the hollow sandwich plate structure according to claim 1 is characterized in that: The hoisting risk assessment module is communicatively connected to the hoisting potential impact analysis module. The hoisting risk assessment module sends a hoisting low risk signal to the hoisting potential impact analysis module. When the hoisting potential impact analysis module receives the hoisting low risk signal, it analyzes the potential impact degree of the hoisting process of the empty sandwich plate structure, generates a potential high impact signal or a potential low impact signal through the analysis, and sends the potential high impact signal or the potential low impact signal to the hoisting supervision end.

6. The hoisting construction control system for the hollow sandwich plate structure according to claim 5 is characterized in that: The specific analysis process of the lifting potential impact analysis module is as follows: The wind force detection value, electromagnetic interference detection value, precipitation detection value and light detection value of the environment in which the hollow sandwich plate structure is located during the hoisting process per unit time are collected, and the temperature average value of the area in which the hollow sandwich plate structure is located during the hoisting process per unit time is collected, and the temperature average value is compared with the median value of the set suitable temperature range to perform difference calculation and take the absolute value to obtain the temperature detection value; The environmental hazard value is obtained by numerically calculating the wind detection value, electromagnetic interference detection value, precipitation detection value, light detection value and temperature detection value. If the environmental hazard value exceeds the preset environmental hazard threshold, a potential high-impact signal is generated.

7. The hoisting construction control system for the hollow sandwich plate structure according to claim 6 is characterized in that: If the environmental hazard value does not exceed the preset environmental hazard threshold, the ground position where the hoist is carried is collected and marked as the carrying position, and a risk area is delineated with the carrying position as the center and outward; Monitor risk areas through surveillance cameras; Perform regional risk decision analysis based on surveillance videos to obtain a regional risk decision coefficient. If the regional risk decision coefficient exceeds a preset regional risk decision coefficient threshold, a potential high impact signal is generated. If the regional risk decision coefficient does not exceed the preset regional risk decision coefficient threshold, a potential low impact signal is generated.

8. The hoisting construction control system for the hollow sandwich plate structure according to claim 7 is characterized in that: The specific analysis process of regional risk decision analysis is as follows: Based on the surveillance video, the moving targets in the risk area are identified, and the movement duration, movement speed and the shortest distance to the carrying position of the moving targets in the risk area are marked as the movement time measurement value, movement speed measurement value and movement short distance value respectively. The movement risk value is obtained by numerically calculating the movement time measurement value, movement speed measurement value and movement short distance value. If the motion risk value exceeds the preset motion risk threshold, the corresponding motion process is marked as an alarm process, and the number of alarm processes per unit time is obtained and marked as the alarm number check value; The number of times the load-bearing position of the crane is impacted by the moving target per unit time is collected and marked as the load-bearing impact value, and the maximum impact force of the load-bearing position of the crane per unit time is marked as the load-bearing impulse value; the regional risk decision coefficient is obtained by numerically calculating the alarm number check value, the load-bearing impact value and the load-bearing impulse value.

9. The hoisting construction control system for hollow sandwich panel structure according to claim 1, characterized in that: The hoisting potential impact analysis module is communicatively connected to the supervision analysis and evaluation module. The hoisting potential impact analysis module sends a potential low impact signal to the supervision analysis and evaluation module. When the supervision analysis and evaluation module receives the potential low impact signal, it analyzes the on-the-job performance of the supervisory personnel at the hoisting supervision end, and generates a supervision evaluation qualified signal or a supervision evaluation abnormal signal through analysis.

10. The hoisting construction control system for the hollow sandwich plate structure according to claim 9, characterized in that: The specific analysis process of the regulatory analysis and evaluation module is as follows: The real-time position of the supervisor is obtained, and the distance between the real-time position of the supervisor and the position of the hoisting supervisor is calculated to obtain the man-machine distance detection value. If the man-machine distance detection value exceeds the preset man-machine distance detection threshold, it is judged that the supervisor is in a man-machine separation state; The total time that the supervisor is in the human-machine separation state per unit time is collected and marked as the total human-machine separation time value, and the number of occurrences in which the single continuous time of the supervisor in the human-machine separation state per unit time exceeds the preset single continuous time threshold is marked as the human-machine separation dangerous frequency value; if the total human-machine separation time value or the human-machine separation dangerous frequency value exceeds the corresponding preset threshold, a supervision assessment abnormal signal is generated; if both the total human-machine separation time value and the human-machine separation dangerous frequency value do not exceed the corresponding preset threshold, a supervision assessment qualified signal is generated.

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