An intelligent pre-warning system and method for construction workers falling in air

Abstract

The application provides a construction worker free fall intelligent early warning system and method, and relates to the technical field of safety warning. The construction worker is continuously monitored, the displacement change amount of the construction worker towards the boundary direction of the free fall operation area is calculated according to the spatial position information of adjacent monitoring periods, and it is judged whether the construction worker enters the free fall danger judgment range. The periodic posture change parameter is generated based on the body center of gravity position change amount, the body inclination angle change amount and the displacement change amount in the continuous multiple monitoring periods, and the periodic posture change parameter is accumulated to form the risk state quantity. The risk state quantity is compared with the risk state threshold value which is self-adaptively adjusted according to the construction scene, and the connection state of the construction worker and the anti-falling protection device is combined to determine whether the free fall risk early warning information is output, so that the dynamic evaluation and early warning of the free fall operation risk of the construction worker are realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of safety warning, in particular to a construction worker air fall intelligent warning system and method. BACKGROUND

[0002] In the prior art, such systems generally deploy infrared beam sensors, pressure sensing devices or video monitoring equipment at the edge of the construction site, openings or high work areas to detect whether personnel have entered a dangerous area; when detecting that personnel are approaching or crossing the preset safety boundary, the system sends an alarm signal to the control terminal through wired or wireless means and triggers an audible and visual alarm to remind the construction workers to pay attention to safety or remind the management personnel to intervene. For example, in high-rise building construction, infrared beam devices are often set up outside the scaffold or at the edge of the floor, and when the human body blocks the infrared beam, it is determined that there is a risk of falling and an alarm is issued.

[0003] However, in the specific high steel structure installation operation scene, the above-mentioned prior art still has obvious technical defects. Taking the example of the construction worker needing to frequently cross the edge area for short-time operation during the steel beam hoisting process, the infrared beam or fixed area trigger type alarm device usually only makes a judgment based on the single condition of "whether entering a dangerous area", and cannot distinguish the work state of the construction worker from the actual falling risk. When the construction worker is wearing a safety rope and is in a stable support state to perform necessary edge operation, the existing system will still repeatedly trigger an alarm, causing the audible and visual alarm at the scene to start multiple times in a short period of time; according to actual construction management experience, such false alarms will prompt the on-site management personnel to artificially reduce the alarm sensitivity or directly turn off the alarm device, so that in the event of sudden situations such as center of gravity shift, sliding of the underlying components, etc., the system cannot timely issue an effective warning, thereby increasing the risk of air fall accidents. SUMMARY

[0004] The purpose of the present application is to provide a construction worker air fall intelligent warning system and method, which aims to solve the problems mentioned in the background.

[0005] To solve the above technical problems, the technical solution of the present application is as follows:

[0006] In a first aspect, a construction worker air fall intelligent warning method, the method comprising:

[0007] In the air operation area of the construction site, the construction worker is continuously monitored, and the spatial position information, body posture information and safety protection state information of the construction worker are periodically acquired within a preset time interval, the body posture information including the body center of gravity position and the body inclination angle;

[0008] According to the spatial position information obtained in adjacent monitoring periods, the displacement change amount of the construction personnel in the direction towards the boundary of the open-air operation area is calculated, and it is judged whether the construction personnel enters the preset open-air danger judgment range;

[0009] When the construction personnel enters the open-air danger judgment range, the body center of gravity position change amount, the body inclination angle change amount and the displacement change amount in continuous multiple monitoring periods are obtained respectively, and the period posture change parameter reflecting the posture change degree of the construction personnel is generated according to the change amounts corresponding to each monitoring period;

[0010] The continuous multiple period posture change parameters are accumulated and processed to generate a risk state quantity for representing the open-air falling risk evolution of the construction personnel;

[0011] The risk state quantity is compared with the risk state threshold value which is adaptively adjusted according to the construction scene, and when the risk state quantity does not reach the risk state threshold value, it is determined that the construction personnel is still in a controllable operation state;

[0012] In the case that the construction personnel is determined to be in a controllable operation state, it is judged whether the construction personnel is effectively connected with the anti-falling protection device combined with the safety protection state information, and when the effective connection is maintained, the current risk state quantity is maintained and the open-air falling early warning information is not outputted;

[0013] When the risk state quantity reaches or exceeds the risk state threshold value, or it is judged that the construction personnel is not effectively connected with the anti-falling protection device, an open-air falling risk early warning signal is generated and the corresponding early warning information is outputted.

[0014] Preferably, according to the spatial position information obtained in adjacent monitoring periods, the displacement change amount of the construction personnel in the direction towards the boundary of the open-air operation area is calculated, and it is judged whether the construction personnel enters the preset open-air danger judgment range, comprising:

[0015] In each monitoring period, according to the obtained spatial position information of the construction personnel, the boundary distance value between the current position of the construction personnel and the boundary of the open-air operation area is calculated;

[0016] According to the corresponding boundary distance values in adjacent monitoring periods, the difference value calculation is performed on the boundary distance value of the previous monitoring period and the boundary distance value of the current monitoring period to obtain the displacement change amount of the construction personnel in the direction towards the boundary of the open-air operation area in the current monitoring period;

[0017] According to the displacement change amounts obtained in continuous multiple monitoring periods, the direction judgment is performed on each displacement change amount according to the time sequence of the monitoring periods to obtain the displacement direction judgment result corresponding to each monitoring period;

[0018] When the displacement direction determination results in the continuous multiple monitoring periods all point to the boundary of the air proximity operation area, and the corresponding displacement change amounts satisfy the preset continuous displacement determination condition, a judgment result of entering the air proximity danger determination range is generated according to the displacement direction determination result and the displacement change amount.

[0019] Preferably, the body center of gravity position change amount, the body inclination angle change amount and the displacement change amount in the continuous multiple monitoring periods are respectively acquired, and a period posture change parameter reflecting the posture change degree of the construction personnel in each monitoring period is generated according to the corresponding change amount, including:

[0020] In each monitoring period, the body center of gravity position and the body inclination angle of the construction personnel are acquired, and combined with the spatial position information in the corresponding monitoring period, the posture basic data of the monitoring period is formed;

[0021] According to the posture basic data in the adjacent monitoring periods, the body center of gravity positions of the previous monitoring period and the current monitoring period are compared and processed, the body center of gravity position change amount of the current monitoring period is generated, and the body inclination angles are compared and processed, the body inclination angle change amount of the current monitoring period is generated;

[0022] The body center of gravity position change amount, the body inclination angle change amount and the displacement change amount obtained in the current monitoring period are taken as the posture change input data of the same monitoring period;

[0023] According to the posture change input data, the three types of change amounts are uniformly processed according to the preset posture parameter generation rule, and the period posture change parameter of the corresponding monitoring period is generated.

[0024] Preferably, the continuous multiple period posture change parameters are accumulated and processed to generate a risk state amount for representing the evolution of the air proximity falling risk of the construction personnel, including:

[0025] In the initial monitoring period, the initial risk state amount is determined according to the period posture change parameter corresponding to the initial monitoring period;

[0026] In each subsequent monitoring period, the period posture change parameter corresponding to the current monitoring period is compared with the period posture change parameter corresponding to the previous monitoring period, and the posture change amount of the period posture change parameter is obtained;

[0027] According to the corresponding relationship between the posture change amount and the preset posture change interval, and based on the number of monitoring periods corresponding to the current monitoring period, the risk state amount incremental updating mode for the current monitoring period is determined, and the risk state amount corresponding to the previous monitoring period is updated according to the incremental updating mode, to generate the risk state amount corresponding to the current monitoring period.

[0028] Preferably, according to the correspondence between the posture change amount and the preset posture change interval, and based on the monitoring period quantity corresponding to the current monitoring period, a risk state quantity increment updating mode for the current monitoring period is determined, and the risk state quantity corresponding to the previous monitoring period is updated according to the increment updating mode to generate the risk state quantity corresponding to the current monitoring period, comprising:

[0029] The posture change amount is compared with the plurality of posture change intervals to determine the posture change interval in which the posture change amount is located;

[0030] According to the determined posture change interval, an increment updating coefficient corresponding to the posture change interval is selected, and different posture change intervals correspond to different sizes of increment updating coefficients;

[0031] Based on the monitoring period quantity corresponding to the current monitoring period, the increment updating coefficient is corrected to obtain a target increment updating coefficient corresponding to the current monitoring period;

[0032] The posture change amount is multiplied by the target increment updating coefficient to obtain a risk increment value corresponding to the current monitoring period;

[0033] The risk increment value is accumulated with the risk state quantity corresponding to the previous monitoring period to generate the risk state quantity corresponding to the current monitoring period.

[0034] Preferably, the adaptive adjustment method of the risk state threshold value comprises:

[0035] When the construction personnel enters the air operation area, the type of the air operation area, the operation type of the construction personnel, and the danger level information corresponding to the construction area are obtained to form initial input data for threshold setting;

[0036] According to the initial input data, a plurality of preset basic risk threshold value intervals are matched to determine a basic risk threshold value interval corresponding to the current construction scene, and an initial risk state threshold value is selected within the determined basic risk threshold value interval;

[0037] The real-time environmental information of the construction site and the behavior change information of the construction personnel are continuously obtained, and the real-time environmental information and the behavior change information are used as environmental input data for threshold dynamic adjustment;

[0038] In a plurality of continuous monitoring periods, the change of the risk state quantity between adjacent monitoring periods is obtained, and the change rate calculation processing is performed on the change to generate a risk change rate for representing the risk change trend of the construction personnel;

[0039] According to the risk change rate and the environmental input data, the risk change trend and the construction environment risk are jointly evaluated, and a threshold value adjustment coefficient for adjusting the initial risk state threshold value is determined according to the joint evaluation result.

[0040] According to the threshold adjustment coefficient, the initial risk state threshold is dynamically adjusted to generate a current risk state threshold.

[0041] Preferably, according to the risk change rate and the environmental input data, the risk change trend and the construction environmental risk are jointly evaluated, and the threshold adjustment coefficient for adjusting the initial risk state threshold is determined according to the joint evaluation result, comprising:

[0042] The risk change rate is compared with the preset risk change rate grading interval in a step-by-step comparison process to determine the risk change level corresponding to the risk change rate in the current monitoring period.

[0043] According to the risk change level, the risk change level is converted into a risk level coefficient for participating in the threshold evaluation calculation according to the preset level mapping rule;

[0044] The environmental input data is split according to the preset environmental evaluation rule to obtain multiple environmental evaluation components respectively representing the stability of the construction environment, the complexity of the operation condition and the completeness of the protection condition;

[0045] According to the multiple environmental evaluation components, the environmental risk of the construction environment in the current monitoring period is quantitatively processed to generate an environmental risk evaluation value for participating in the threshold evaluation calculation;

[0046] According to the risk level coefficient, the environmental risk evaluation value is adjusted to obtain a comprehensive evaluation result that comprehensively reflects the influence of the risk change rate and the environmental risk;

[0047] The comprehensive evaluation result is compared with the preset multiple threshold adjustment coefficient intervals to determine the threshold adjustment coefficient interval where the comprehensive evaluation result is located, and the threshold adjustment coefficient corresponding to the coefficient interval is selected as the threshold adjustment coefficient for adjusting the initial risk state threshold.

[0048] Secondly, a construction personnel free-fall intelligent early warning system, the system comprises:

[0049] The monitoring acquisition module is used for continuously monitoring the construction personnel in the free-fall operation area of the construction site, and periodically acquiring the spatial position information, body posture information and safety protection state information of the construction personnel in a preset time interval, the body posture information including the body center of gravity position and the body inclination angle.

[0050] The displacement analysis module is used for calculating the displacement change of the construction personnel in the direction towards the boundary of the free-fall operation area according to the spatial position information acquired in adjacent monitoring periods, and judging whether the construction personnel enters a preset free-fall danger judgment range.

[0051] The posture parameter generation module is configured to obtain the body center of gravity position change amount, the body inclination angle change amount and the displacement change amount in a plurality of continuous monitoring periods when the construction personnel enters the air danger judgment range, and generate a period posture change parameter reflecting the posture change degree of the construction personnel according to the change amounts corresponding to the monitoring periods.

[0052] The risk state amount generation module is configured to accumulate the plurality of period posture change parameters to generate a risk state amount reflecting the evolution of the air falling risk of the construction personnel.

[0053] The risk judgment module is configured to compare the risk state amount with a risk state threshold value adjusted adaptively according to the construction scene, and determine that the construction personnel is still in a controllable operation state when the risk state amount does not reach the risk state threshold value.

[0054] The protection state verification module is configured to determine whether the construction personnel is effectively connected with the anti-falling protection device in combination with the safety protection state information when it is determined that the construction personnel is in the controllable operation state, maintain the current risk state amount and not output the air falling early warning information when the construction personnel is effectively connected with the anti-falling protection device.

[0055] The early warning output module is configured to generate an air falling risk early warning signal and output corresponding early warning information when the risk state amount reaches or exceeds the risk state threshold value or it is determined that the construction personnel is not effectively connected with the anti-falling protection device.

[0056] The above scheme of the present application at least has the following beneficial effects:

[0057] By continuously monitoring the construction personnel in the air operation area and periodically obtaining the spatial position information, the body posture information and the safety protection state information within a preset time interval, the risk judgment is no longer based on a single moment or a single trigger condition, but is established on the basis of dynamic data formed in the continuous monitoring period, thereby providing more complete data support for the comprehensive evaluation of the air operation state of the construction personnel.

[0058] On this basis, by calculating the displacement change amount of the construction personnel towards the boundary direction of the air operation area according to the spatial position information in adjacent monitoring periods, and combining the directionality and continuity of the displacement change to determine whether to enter the air danger judgment range, the judgment of the danger area is changed from the traditional “whether to enter a fixed area” to “whether to continuously move towards the danger boundary”, so that the short-time approaching behavior in the normal operation process and the moving behavior with potential falling risk can be distinguished, and unnecessary alarm triggering is reduced.

[0059] Further, when the construction personnel enters the air risk judgment range, the body center of gravity position change amount, the body inclination angle change amount and the displacement change amount in a plurality of continuous monitoring periods are comprehensively processed to generate a period posture change parameter reflecting the posture change degree of the construction personnel, and the risk state quantity is formed by cumulative processing of the period posture change parameter, so that the risk assessment can reflect the continuity and evolution process of the posture change of the construction personnel, and the alarm is triggered only by the single posture anomaly, thereby improving the correspondence between the risk judgment and the actual falling risk.

[0060] Meanwhile, by comparing the risk state quantity with the risk state threshold value which is adaptively adjusted according to the construction scene, the risk judgment standard under different operation environments, operation types and construction risk levels can be dynamically adjusted, the false alarm or missed alarm problem caused by uniform threshold setting is avoided, and the adaptability of risk judgment in complex construction scenes is enhanced.

[0061] In addition, safety protection state information is introduced in the risk judgment process, and a comprehensive judgment is made in combination with whether the construction personnel is effectively connected with the anti-falling protection device, so that the system can distinguish between the 'edge operation state with effective protection' and the 'protection failure or missing state', thereby avoiding frequent alarms when the construction personnel is in stable operation and the protection measures are complete, timely outputting early warning information when the protection state is abnormal or the risk is continuously accumulated, and improving the pertinence and usability of the early warning result.

[0062] Through the above progressive risk identification and judgment mode, the present application can meet the safety early warning demand of air operation while reducing the interference of false alarm on the construction site management, avoiding the safety hazards caused by artificially reducing the alarm sensitivity or closing the alarm device, thereby providing a risk early warning means more in line with the actual operation state for complex air operation scenes such as high steel structure installation. BRIEF DESCRIPTION OF DRAWINGS

[0063] Figure 1 is a flow block diagram architecture diagram of a construction personnel air fall intelligent early warning method provided by an embodiment of the present application. DETAILED DESCRIPTION

[0064] Exemplary embodiments of the present disclosure will be described more fully hereinafter with reference to the accompanying drawings; however, they are not limited to the embodiments set forth herein but can be implemented in various forms. The embodiments are provided so that the present disclosure can be understood more thoroughly, and the scope of the present disclosure can be conveyed completely to those skilled in the art.

[0065] As shown in Figure 1 , an embodiment of the present application proposes a construction personnel air fall intelligent early warning method, which comprises:

[0066] In the free-air operation area of the construction site, the construction personnel are continuously monitored, and the spatial position information, body posture information and safety protection state information of the construction personnel are periodically acquired within a preset time interval, and the body posture information includes the body center of gravity position and the body inclination angle;

[0067] According to the spatial position information acquired in the adjacent monitoring period, the displacement change amount of the construction personnel in the direction towards the boundary of the free-air operation area is calculated, and it is judged whether the construction personnel enters the preset free-air danger judgment range;

[0068] When the construction personnel enters the free-air danger judgment range, the body center of gravity position change amount, the body inclination angle change amount and the displacement change amount in the continuous multiple monitoring periods are acquired respectively, and the period posture change parameter reflecting the posture change degree of the construction personnel is generated according to the change amount corresponding to each monitoring period;

[0069] The continuous multiple period posture change parameters are accumulated and processed to generate a risk state quantity for characterizing the evolution of the free-air falling risk of the construction personnel;

[0070] The risk state quantity is compared with the risk state threshold value which is adaptively adjusted according to the construction scene, and when the risk state quantity does not reach the risk state threshold value, it is judged that the construction personnel is still in a controllable operation state;

[0071] In the case that the construction personnel is in a controllable operation state, it is judged whether the construction personnel is effectively connected with the anti-falling protection device combined with the safety protection state information, and when the effective connection is maintained, the current risk state quantity is maintained and the free-air falling early warning information is not outputted;

[0072] When the risk state quantity reaches or exceeds the risk state threshold value, or it is judged that the construction personnel is not effectively connected with the anti-falling protection device, a free-air falling risk early warning signal is generated and the corresponding early warning information is outputted.

[0073] In the embodiment of the present application, by continuously monitoring the construction personnel in the free-air operation area of the construction site, and periodically acquiring the spatial position information, body posture information and safety protection state information of the construction personnel within a preset time interval, the judgment of the construction personnel state does not depend on the data of a single moment, but is based on the dynamic information formed in the continuous monitoring period, so that the position change and posture change of the construction personnel in the free-air operation process can be fully reflected, and a stable data foundation is provided for subsequent risk assessment.

[0074] By calculating the displacement change of the construction personnel in the direction towards the boundary of the open-air operation area according to the spatial position information in the adjacent monitoring period, and combining the displacement change trend in the continuous monitoring period to judge whether the construction personnel enters the open-air danger judgment range, the judgment of the danger area is no longer limited to the fixed distance threshold, but the displacement direction and continuity factors are introduced, so as to avoid the construction personnel from being misjudged as a dangerous state due to short-time approach to the boundary in the normal operation process.

[0075] After the construction personnel enters the open-air danger judgment range, the body center of gravity position change, the body inclination angle change and the displacement change in the continuous multiple monitoring periods are obtained respectively, and the multi-dimensional change information is uniformly generated as a period posture change parameter, so that the posture stability of the construction personnel can be described in the form of a comprehensive parameter, thereby avoiding the problem that the actual state of the construction personnel is not fully judged due to the dependence on a single posture index.

[0076] By accumulating the continuous multiple period posture change parameters, a risk state quantity reflecting the evolution of the open-air falling risk of the construction personnel is generated, so that the risk assessment process can reflect the continuity and evolution trend of the posture change of the construction personnel, rather than judging based on the instantaneous state of a certain monitoring period, thereby improving the matching degree between risk judgment and actual operation process.

[0077] Further, by comparing the risk state quantity with the risk state threshold value which is adaptively adjusted according to the construction scene, it is judged that the construction personnel is in a controllable operation state when the risk state quantity does not reach the risk state threshold value, and on this basis, it is judged whether the construction personnel is effectively connected with the anti-falling protection device in combination with the safety protection state information, so that the output of the risk warning not only considers the posture and displacement change of the construction personnel, but also comprehensively considers the actual connection state of the protection measures, thereby avoiding unnecessary warning information in the case of complete protection measures and stable posture.

[0078] When the risk state quantity reaches or exceeds the risk state threshold value, or the construction personnel is not effectively connected with the anti-falling protection device, the open-air falling risk warning information is outputted, so that the warning triggering condition covers both risk continuous accumulation and protection failure, thereby being able to timely prompt the potential falling risk in the open-air operation process of the construction personnel.

[0079] For example, in the high steel structure installation operation, the construction personnel needs to continuously move and operate in the free area, when the construction personnel gradually moves to the operation boundary and the body center of gravity and the inclination angle continuously changes, the displacement change amount and the posture change parameter formed by the continuous monitoring period, the risk state amount gradually accumulates with the monitoring period; when the construction personnel still maintains effective connection with the safety rope and the posture change is within the controllable range, no early warning information is output; when the construction personnel continues to move to the boundary direction and the posture change is intensified, or the safety rope connection state changes, the risk state amount reaches the corresponding threshold, and the free-fall risk early warning information is output in time, so that the on-site manager or the construction personnel himself can take corresponding protection or adjustment measures.

[0080] In a preferred embodiment of the present application, the construction personnel is continuously monitored in the free operation area of the construction site, and the spatial position information, body posture information and safety protection state information of the construction personnel are periodically acquired within a preset time interval, including:

[0081] Firstly, before the construction starts, the spatial range of the free operation area is determined according to the construction drawings and the site arrangement, and the sensing device for personnel monitoring is arranged in the free operation area, so that the coverage range of the sensing device can contain the activity area of the construction personnel during the free operation.

[0082] Subsequently, after the construction personnel enters the free operation area, the construction personnel is continuously monitored according to a preset time interval, and in each monitoring period, the current position data of the construction personnel in the construction site is collected, and the current position data is taken as the spatial position information corresponding to the monitoring period.

[0083] At the same time of acquiring the spatial position information, the body posture related data of the construction personnel is collected in each monitoring period, and the body center of gravity position and the body inclination angle of the construction personnel in the current monitoring period are determined according to the position relationship of the collected body key parts, and the body center of gravity position and the body inclination angle are taken as the body posture information corresponding to the monitoring period.

[0084] In addition, the safety protection state information of the construction personnel is synchronously acquired in each monitoring period, the safety protection state information is used to represent whether the construction personnel wears the anti-falling protection device and whether the anti-falling protection device is effectively connected, and the safety protection state information is associated with the spatial position information and the body posture information acquired in the corresponding monitoring period and is stored, so as to form a continuous monitoring data sequence for subsequent risk analysis.

[0085] In a preferred embodiment of the present application, the setting method of the free danger judgment range includes:

[0086] Firstly, according to the positions in the construction site that may cause the personnel to fall into the air, such as the edge of the site, the hole opening and the edge of the high platform, the dangerous edge in the air in the construction site is determined, and the dangerous edge in the air is taken as a reference boundary for the danger determination.

[0087] Subsequently, according to the preset safety buffer distance, the dangerous edge in the air is extended to the inside of the air operation area, a range of the area around the dangerous edge in the air is formed, and the range of the area is set as the dangerous determination range in the air.

[0088] The size of the safety buffer distance can be preset according to the height of the construction area, the type of operation and the requirement of safety management on site, so that the construction personnel still has a certain reaction and adjustment space when entering the dangerous determination range in the air, thereby providing a time basis for subsequent risk assessment and early warning.

[0089] In the above manner, the dangerous determination range in the air is not only corresponding to the dangerous edge in the air itself, but also a region with a spatial width formed around the dangerous edge, so that the system can intervene in the risk judgment in advance in the process that the construction personnel gradually approaches the dangerous edge in the air.

[0090] In a preferred embodiment of the present application, according to the spatial position information obtained in the adjacent monitoring period, the displacement change amount of the construction personnel in the direction towards the boundary of the air operation area is calculated, and whether the construction personnel enters the preset dangerous determination range in the air is judged, comprising:

[0091] In each monitoring period, according to the obtained spatial position information of the construction personnel, the boundary distance value between the current position of the construction personnel and the boundary of the air operation area is calculated;

[0092] According to the corresponding boundary distance value in the adjacent monitoring period, the difference value calculation is performed on the boundary distance value of the previous monitoring period and the boundary distance value of the current monitoring period, so as to obtain the displacement change amount of the construction personnel in the direction towards the boundary of the air operation area in the current monitoring period;

[0093] According to the displacement change amount obtained in the continuous multiple monitoring periods, the direction determination is performed on each displacement change amount in the time sequence of the monitoring periods, so as to obtain the displacement direction determination result corresponding to each monitoring period;

[0094] When the displacement direction determination results in the continuous multiple monitoring periods are all directed to the boundary of the air operation area, and the corresponding displacement change amount satisfies the preset continuous displacement determination condition, the judgment result of entering the dangerous determination range in the air is generated according to the displacement direction determination result and the displacement change amount.

[0095] In the embodiment of the present application, the boundary distance value between the current position of the construction personnel and the boundary of the open-air operation area is calculated in each monitoring period, and the displacement change amount of the construction personnel in the direction of the boundary of the open-air operation area is calculated based on the boundary distance difference of adjacent monitoring periods, so that the position change of the construction personnel can be described in the form of continuous change, instead of only relying on a fixed position to determine whether there is a risk. Further, by determining the direction of the displacement change amount in the continuous multiple monitoring periods, and combining the continuity condition of the displacement change to generate the judgment result of entering the open-air danger judgment range, the danger area judgment can reflect the behavior characteristics of the construction personnel continuously moving towards the open-air boundary, thereby reducing the case of triggering false risk judgment due to short-term and occasional position change.

[0096] In a preferred embodiment of the present application, the setting method of the continuous displacement judgment condition comprises:

[0097] Firstly, in the adjacent multiple monitoring periods, the distance change between the construction personnel and the open-air danger boundary in the corresponding monitoring period is determined according to the spatial position information obtained in each monitoring period, and the distance change between the adjacent monitoring periods is taken as the displacement change of the construction personnel in the time period.

[0098] Subsequently, the displacement change in the continuous multiple monitoring periods is sequentially analyzed to determine whether the displacement change direction of the construction personnel in each monitoring period is directed to the open-air danger boundary, that is, whether the construction personnel is continuously approaching the open-air danger boundary in the continuous monitoring periods.

[0099] On this basis, it is further determined whether the displacement change amount of the construction personnel in each monitoring period in the continuous multiple monitoring periods is all up to the preset displacement change requirement, which is used to exclude short-term and small displacement caused by body adjustment, posture swing, etc.

[0100] When the displacement change direction of the construction personnel in the preset number of continuous monitoring periods is all directed to the open-air danger boundary, and the corresponding displacement change amount all meets the displacement change requirement, it is determined that the construction personnel meets the continuous displacement judgment condition, thereby serving as an important judgment basis for entering the open-air danger judgment range.

[0101] In a preferred embodiment of the present application, the body center of gravity position change amount, the body inclination angle change amount and the displacement change amount in the continuous multiple monitoring periods are obtained respectively, and the period posture change parameter reflecting the posture change degree of the construction personnel is generated according to the change amount corresponding to each monitoring period, comprising:

[0102] In each monitoring period, the body center of gravity position and the body inclination angle of the construction personnel are acquired, and combined with the spatial position information in the corresponding monitoring period, to form the posture basic data of the monitoring period;

[0103] According to the posture basic data in the adjacent monitoring periods, the body center of gravity positions of the previous monitoring period and the current monitoring period are compared and processed, to generate the body center of gravity position change amount of the current monitoring period, and the body inclination angles are compared and processed, to generate the body inclination angle change amount of the current monitoring period;

[0104] The body center of gravity position change amount, the body inclination angle change amount and the displacement change amount obtained in the current monitoring period are taken as the posture change input data of the same monitoring period;

[0105] According to the posture change input data, the three types of change amounts are uniformly processed according to the preset posture parameter generation rule, to generate the period posture change parameter of the corresponding monitoring period.

[0106] In the embodiment of the present application, the body center of gravity position and the body inclination angle of the construction personnel are acquired in each monitoring period, and combined with the spatial position information to form the posture basic data, and then the body center of gravity position change amount and the body inclination angle change amount are generated based on the comparison and processing between the adjacent monitoring periods, so that the posture change of the construction personnel can be expressed in the form of change amount. Further, the body center of gravity position change amount, the body inclination angle change amount and the displacement change amount are taken as the posture change input data of the same monitoring period, and uniformly processed according to the preset rule to generate the period posture change parameter, so that the posture change information of different types can be comprehensively reflected under the same parameter system, thereby avoiding the problem that a single posture index is difficult to comprehensively reflect the actual working state of the construction personnel.

[0107] In a preferred embodiment of the present application, according to the posture change input data, the three types of change amounts are uniformly processed according to the preset posture parameter generation rule, to generate the period posture change parameter of the corresponding monitoring period, including:

[0108] Firstly, in each monitoring period, the body center of gravity position change amount, the body inclination angle change amount and the displacement change amount are taken as the posture change input data in the same time period to be collected, so that the three types of change amounts are consistent in the time dimension.

[0109] Subsequently, according to the preset posture parameter generation rule, the three types of change amounts are respectively subjected to amplitude normalization processing, so that the change amounts of different dimensions are converted into change degree values with comparability, wherein the change amount with smaller change amplitude corresponds to lower change degree value, and the change amount with larger change amplitude corresponds to higher change degree value.

[0110] After the normalization processing is completed, the change degree values corresponding to the three types of change amounts are combined according to a preset posture parameter generation rule, and the combination processing is used to comprehensively reflect the overall posture stability change of the construction personnel in the current monitoring period.

[0111] Finally, the result obtained by the combination processing is taken as a period posture change parameter corresponding to the current monitoring period, so that the period posture change parameter can comprehensively represent the posture change degree of the construction personnel in the monitoring period in the form of a single parameter.

[0112] In a preferred embodiment of the present application, the setting method of the posture parameter generation rule comprises:

[0113] Firstly, in the system initialization stage, the change ranges of the body center of gravity position change amount, the body inclination angle change amount and the displacement change amount in the stable operation state are statistically analyzed according to the monitoring data of the construction personnel in the normal stable operation state, and the basic change ranges of the three types of change amounts in the normal operation state are determined respectively.

[0114] Subsequently, for each type of change amount, the corresponding change range is divided into a plurality of change level intervals in the order of low to high change amplitude, and a change weight for representing the change degree is set for each change level interval, so that the change level interval with smaller change amplitude corresponds to lower change weight, and the change level interval with larger change amplitude corresponds to higher change weight.

[0115] In each monitoring period, when the body center of gravity position change amount, the body inclination angle change amount and the displacement change amount are obtained, the three types of change amounts are compared with the respective corresponding change level intervals, the change level corresponding to each type of change amount in the current monitoring period is determined, and the change weight corresponding to the change level is selected.

[0116] Subsequently, the change weights corresponding to the three types of change amounts are combined according to the preset posture parameter generation rule, and the combination processing is used to comprehensively reflect the overall posture change of the construction personnel in the current monitoring period caused by the body center of gravity change, the posture inclination change and the spatial displacement change.

[0117] Finally, the result obtained by the combination processing is taken as a period posture change parameter corresponding to the current monitoring period, so that the period posture change parameter can represent the posture change degree of the construction personnel in the monitoring period in the form of a single parameter, and serve as an input basis for subsequent risk state quantity generation and updating.

[0118] In a preferred embodiment of the present application, the continuous multiple period posture change parameters are accumulated to generate a risk state quantity for representing the evolution of the construction personnel's free fall risk, comprising:

[0119] In the initial monitoring period, an initial risk state quantity is determined according to a period attitude change parameter corresponding to the initial monitoring period;

[0120] In each subsequent monitoring period, a period attitude change quantity is obtained by comparing a period attitude change parameter corresponding to the current monitoring period with a period attitude change parameter corresponding to the previous monitoring period;

[0121] According to a corresponding relationship between the period attitude change quantity and a preset period attitude change interval, and based on a monitoring period quantity corresponding to the current monitoring period, an incremental updating mode of the risk state quantity for the current monitoring period is determined, and the risk state quantity corresponding to the previous monitoring period is updated according to the incremental updating mode, to generate the risk state quantity corresponding to the current monitoring period.

[0122] In the embodiment of the present application, the initial risk state quantity is determined based on the period attitude change parameter in the initial monitoring period, and the period attitude change quantity is obtained by comparing the period attitude change parameters of adjacent periods in the subsequent monitoring period, so that the generation of the risk state quantity has a clear starting reference. Further, according to the corresponding relationship between the period attitude change quantity and the preset period attitude change interval, and in combination with the monitoring period quantity, the incremental updating mode of the risk state quantity is determined, so that the updating process of the risk state quantity can reflect the attitude change amplitude and the change duration at the same time, so that the risk state quantity can gradually reflect the evolution process of the free operation risk of the construction personnel, rather than only making risk judgment based on a single attitude anomaly.

[0123] In a preferred embodiment of the present application, according to the corresponding relationship between the period attitude change quantity and the preset period attitude change interval, and based on the monitoring period quantity corresponding to the current monitoring period, the incremental updating mode of the risk state quantity for the current monitoring period is determined, and the risk state quantity corresponding to the previous monitoring period is updated according to the incremental updating mode, to generate the risk state quantity corresponding to the current monitoring period, including:

[0124] The period attitude change quantity is compared with a plurality of period attitude change intervals to determine a period attitude change interval in which the period attitude change quantity is located;

[0125] According to the determined period attitude change interval, an incremental updating coefficient corresponding to the period attitude change interval is selected, and different period attitude change intervals correspond to different sizes of incremental updating coefficients;

[0126] Based on the monitoring period quantity corresponding to the current monitoring period, the incremental updating coefficient is corrected to obtain a target incremental updating coefficient corresponding to the current monitoring period;

[0127] The period attitude change quantity is multiplied by the target incremental updating coefficient to obtain a risk incremental value corresponding to the current monitoring period;

[0128] The risk increment value is accumulated with the risk state quantity corresponding to the previous monitoring period to generate the risk state quantity corresponding to the current monitoring period.

[0129] In the embodiment of the present application, by comparing the posture change quantity with a plurality of preset posture change intervals, the posture change interval in which the posture change quantity is located is determined, and the increment update coefficient corresponding to the posture change interval is further selected, so that the update amplitude of the risk state quantity can be distinguished according to the degree of posture change. Further, by correcting the increment update coefficient based on the number of current monitoring periods, the update process of the risk state quantity can reflect the persistence of the posture change in the time dimension. When the posture change persists for a plurality of monitoring periods, the risk state quantity can be gradually accumulated; when the posture change amplitude is small or the duration is short, the growth amplitude of the risk state quantity is limited accordingly, so that the change of the risk state quantity is more in line with the actual risk accumulation process of the construction personnel in the process of the overhanging operation.

[0130] In a preferred embodiment of the present application, the setting method of the posture change interval comprises:

[0131] Firstly, according to the posture change characteristics of the construction personnel in the normal stable operation state, the change range of the periodic posture change parameter that may appear in the normal operation condition is statistically analyzed, and the basic change range of the posture change parameter in the stable operation state is determined.

[0132] Subsequently, on the basis of the basic change range, the value range of the periodic posture change parameter is divided in order from low to high according to the degree of posture change, forming a plurality of mutually non-overlapping posture change intervals, each posture change interval being used to represent a different degree of posture change state.

[0133] Among them, the posture change interval close to the basic change range is used to represent the case that the posture change of the construction personnel is small and the operation state is relatively stable, and the posture change interval far from the basic change range is used to represent the case that the posture change of the construction personnel is large and there is a high unstable risk, so that the posture change interval can reflect the grading characteristics of the posture stability degree of the construction personnel.

[0134] In a preferred embodiment of the present application, according to the determined posture change interval, the increment update coefficient corresponding to the posture change interval is selected, comprising:

[0135] Firstly, an increment update coefficient corresponding to each preset posture change interval is pre-set, and the increment update coefficient is used to represent the update amplitude of the risk state quantity under the posture change degree.

[0136] Subsequently, when it is determined that the periodic posture change parameter in the current monitoring period falls into a certain posture change interval, the system selects the incremental update coefficient corresponding to the posture change interval from the pre-set incremental update coefficient set as the basic coefficient for updating the risk state quantity in the current monitoring period.

[0137] The posture change interval with a lower posture change degree corresponds to a smaller incremental update coefficient, and the posture change interval with a higher posture change degree corresponds to a larger incremental update coefficient, so that the updating range of the risk state quantity can be distinguished according to the posture change degree.

[0138] In a preferred embodiment of the present application, the incremental update coefficient is corrected based on the number of monitoring periods corresponding to the current monitoring period to obtain a target incremental update coefficient corresponding to the current monitoring period, including:

[0139] Firstly, the position of the current monitoring period in the continuous monitoring sequence is obtained, and the number of monitoring periods corresponding to the position is taken as a time dimension input for reflecting the posture change duration.

[0140] Subsequently, according to a pre-set correction rule, the number of monitoring periods is associated with the selected incremental update coefficient for processing, so that the incremental update coefficient can be adjusted according to the duration of the posture change in the time dimension.

[0141] When the same or similar posture change continuously occurs in a plurality of continuous monitoring periods, the target incremental update coefficient is gradually increased through the correction processing, so as to accelerate the accumulation of the risk state quantity; when the posture change only occurs in a small number of monitoring periods, the target incremental update coefficient is kept at a low level through the correction processing, so as to avoid the excessive influence of short-term posture fluctuation on the risk state quantity.

[0142] In the above manner, the target incremental update coefficient can reflect the posture change range and the posture change duration at the same time, and provide a more actual operation state parameter basis for the dynamic updating of the risk state quantity.

[0143] In a preferred embodiment of the present application, the adaptive adjustment method of the risk state threshold value includes:

[0144] When the construction personnel enter the free-air operation area, the type of the free-air operation area, the operation type of the construction personnel, and the danger level information corresponding to the construction area are obtained to form initial input data for setting the threshold value;

[0145] According to the initial input data, a plurality of pre-set basic risk threshold value intervals are matched to determine a basic risk threshold value interval corresponding to the current construction scene, and an initial risk state threshold value is selected in the determined basic risk threshold value interval.

[0146] continuously acquire real-time environmental information of the construction site and behavior change information of the construction personnel, and take the real-time environmental information and the behavior change information as environmental input data for dynamic adjustment of the threshold value;

[0147] In a plurality of continuous monitoring periods, the change of the risk state quantity between adjacent monitoring periods is acquired, and a change rate calculation process is performed on the change, to generate a risk change rate for representing a risk change trend of the construction personnel;

[0148] According to the risk change rate and the environmental input data, the risk change trend and the construction environmental risk are jointly evaluated, and a threshold value adjustment coefficient for adjusting the initial risk state threshold value is determined according to a joint evaluation result;

[0149] According to the threshold value adjustment coefficient, the initial risk state threshold value is dynamically adjusted, to generate a current risk state threshold value.

[0150] In the embodiment of the present application, when the construction personnel enters the free-fall operation area, the type of the free-fall operation area, the operation type of the construction personnel, and the dangerous level information of the construction area are acquired, and the above information is taken as initial input data, and is matched with a preset basic risk threshold value interval, so that the initial risk state threshold value is selected in the threshold value interval conforming to the current construction scene characteristics, so that the setting of the initial threshold value can adapt to different operation environments and operation types. Further, by continuously acquiring real-time environmental information of the construction site and behavior change information of the construction personnel, and combining the change of the risk state quantity between adjacent monitoring periods to calculate the risk change rate, the adjustment of the risk state threshold value is no longer fixed, but can be dynamically adjusted according to the change of the construction environment and the change of the behavior of the construction personnel, so as to improve the matching degree between the risk judgment standard and the actual construction condition.

[0151] In a preferred embodiment of the present application, the setting method of the basic risk threshold value interval comprises:

[0152] Firstly, before the construction starts, according to the operation type of the construction site, the operation height, and the structure characteristics of the construction area, the operation scene where the free-fall risk may occur is classified, and the corresponding risk level range is preset for different categories of operation scenes, to reflect the basic difference of the free-fall operation risk under different construction scenes.

[0153] Subsequently, the risk level is correspondingly processed with the pre-set risk level range in combination with the dangerous level information corresponding to the construction area, and the risk state threshold value value range suitable for the construction scene is determined accordingly, so that the value range can cover the process of the construction personnel changing from a low risk state to a high risk state under this type of operation scene.

[0154] By the above manner, the risk state threshold in different construction scenes is limited in different basic risk threshold intervals, so that the subsequent risk judgment and threshold adjustment are established within the interval range conforming to the current construction environment characteristics.

[0155] In a preferred embodiment of the present application, the initial risk state threshold is selected within the determined basic risk threshold interval, comprising:

[0156] Firstly, after determining the basic risk threshold interval corresponding to the current construction scene, the basic risk threshold interval is taken as the selectable range of the initial risk state threshold, which is used to constrain the value boundary of the initial threshold.

[0157] Subsequently, according to the initial operation state of the construction personnel when entering the free-fall operation area, an initial assessment is performed on the spatial position, body posture and safety protection state of the construction personnel, and a risk state threshold for initial risk judgment is determined within the basic risk threshold interval in combination with the initial assessment result.

[0158] When the construction personnel enters the operation area with a relatively stable posture and complete safety protection state, the initial risk state threshold takes a relatively high value within the basic risk threshold interval; when the initial operation state of the construction personnel is relatively complex or the operation environment risk is high, the initial risk state threshold takes a relatively low value within the basic risk threshold interval, so that the initial risk judgment standard can be consistent with the initial state of construction.

[0159] In a preferred embodiment of the present application, the initial risk state threshold is dynamically adjusted according to the threshold adjustment coefficient to generate the current risk state threshold, comprising:

[0160] Firstly, in each monitoring period, the threshold adjustment coefficient is calculated according to the risk change rate and the environmental input data of the construction site, which is used to represent the degree of adjustment of the risk judgment standard in the current construction stage.

[0161] Subsequently, the threshold adjustment coefficient is associated with the initial risk state threshold, and the value of the initial risk state threshold is corrected according to the threshold adjustment coefficient, so that the risk state threshold can be adjusted with the risk change trend of the construction personnel and the construction environment risk change.

[0162] When the threshold adjustment coefficient represents that the current risk level is relatively high, the current risk state threshold is correspondingly reduced through the dynamic adjustment processing, so as to trigger the risk warning in advance; when the threshold adjustment coefficient represents that the current risk level is relatively stable or reduced, the current risk state threshold is correspondingly increased through the dynamic adjustment processing, so as to avoid frequent triggering of the warning in the low risk state.

[0163] By the above dynamic adjustment mode, the generated current risk state threshold can continuously reflect the risk change situation of the construction site, so that the risk judgment standard can be matched with the actual risk level in the whole construction process.

[0164] In a preferred embodiment of the present application, the risk change trend and the construction environment risk are jointly evaluated according to the risk change rate and the environmental input data, and a threshold adjustment coefficient for adjusting the initial risk state threshold is determined according to the joint evaluation result, including:

[0165] The risk change rate is compared with the preset risk change rate grading interval in a step-by-step comparison process to determine the risk change grade corresponding to the risk change rate in the current monitoring period;

[0166] According to the risk change grade, the risk change grade is converted into a risk grade coefficient for participating in the threshold evaluation calculation according to the preset grade mapping rule;

[0167] The environmental input data is split according to the preset environmental evaluation rule to obtain multiple environmental evaluation components respectively representing the stability of the construction environment, the complexity of the operation condition and the completeness of the protection condition;

[0168] According to the multiple environmental evaluation components, the environmental risk of the current monitoring period is quantitatively processed to generate an environmental risk evaluation value for participating in the threshold evaluation calculation;

[0169] The environmental risk evaluation value is adjusted according to the risk grade coefficient to obtain a comprehensive evaluation result that comprehensively reflects the influence of the risk change rate and the environmental risk;

[0170] The comprehensive evaluation result is compared with the preset multiple threshold adjustment coefficient intervals to determine the threshold adjustment coefficient interval where the comprehensive evaluation result is located, and the threshold adjustment coefficient corresponding to the coefficient interval is selected as the threshold adjustment coefficient for adjusting the initial risk state threshold.

[0171] In the embodiment of the present application, by comparing the risk change rate with the preset risk change rate grading interval, the risk change level corresponding to the risk change rate is determined, and the risk change level is further converted into a risk level coefficient, so that the risk change trend can participate in the threshold adjustment process in a quantitative form. At the same time, by splitting the environmental input data and quantifying the environmental risk, an environmental risk assessment value is generated, so that the stability of the construction environment, the complexity of the operation condition and the completeness of the protection condition can participate in the joint evaluation in a unified evaluation result. Further, by adjusting the environmental risk assessment value using the risk level coefficient, and comparing the obtained comprehensive evaluation result with the preset threshold adjustment coefficient interval to select the corresponding threshold adjustment coefficient, the adjustment process of the risk state threshold can reflect the risk change trend of the construction personnel and the risk level of the construction environment at the same time, thereby realizing the dynamic adjustment of the risk judgment standard.

[0172] In a preferred embodiment of the present application, the method for setting the risk change rate grading interval comprises:

[0173] Firstly, before the construction starts, based on the historical monitoring data of the construction personnel in the free fall operation process, the change of the risk state quantity between adjacent monitoring periods is statistically analyzed to determine the change characteristics of the risk state quantity in different states such as normal operation, gradual accumulation of risk and rapid change of risk.

[0174] Subsequently, according to the statistical analysis result, the change amplitude of the risk state quantity between adjacent monitoring periods is divided into a plurality of continuous change ranges, and the change ranges are graded in order from low to high, forming a plurality of risk change rate grading intervals.

[0175] Among them, the risk change rate grading interval with smaller change amplitude is used to represent the case that the risk state quantity changes slowly and the risk accumulation is relatively stable, and the risk change rate grading interval with larger change amplitude is used to represent the case that the risk state quantity rapidly rises in a short time, so that the risk change rate grading interval can reflect different stages of risk evolution speed.

[0176] In a preferred embodiment of the present application, the method for setting the grade mapping rule comprises:

[0177] Firstly, after completing the division of the risk change rate grading interval, a corresponding risk change level is preset for each risk change rate grading interval, which is used to discretely represent the risk change rate.

[0178] Subsequently, according to the influence degree of different risk change levels on the free fall risk judgment, a risk level coefficient corresponding to each risk change level is set, so that risk change rates of different levels can participate in the calculation with different weights in the subsequent threshold evaluation process.

[0179] The risk change level with a lower risk change rate corresponds to a smaller risk level coefficient, and the risk change level with a higher risk change rate corresponds to a larger risk level coefficient, so that the corresponding relationship between the risk change rate and the risk level coefficient is established through the level mapping rule.

[0180] In a preferred embodiment of the present application, the setting method of the environment assessment rule comprises:

[0181] Firstly, the environment input data is classified according to the environment factors that may affect the safety of the air operation on the construction site, and the environment factors at least include the stability degree of the construction environment, the complexity degree of the operation condition and the completeness degree of the protection condition.

[0182] Subsequently, the corresponding assessment standard is set for each type of environment factor, which is used to convert the collected environment input data into an environment assessment component that can reflect the risk level of the environment factor.

[0183] After the acquisition of each environment assessment component is completed, the plurality of environment assessment components are summarized according to the preset environment assessment rule, so that different types of environment factors can jointly form an environment risk assessment value for representing the overall risk level of the current construction environment.

[0184] In the above manner, the environment assessment rule can uniformly convert the dispersed environment information into an environment risk assessment result that can be used for risk threshold adjustment.

[0185] In a preferred embodiment of the present application, the setting method of the threshold adjustment coefficient interval comprises:

[0186] Firstly, in the system initialization stage, a plurality of threshold adjustment coefficient intervals are preset according to the differences in the risk state threshold adjustment requirements under different construction environment risk levels and different risk change trends, which are used to limit the value range of the threshold adjustment coefficient.

[0187] Subsequently, the threshold adjustment coefficient intervals are arranged in order from small to large threshold adjustment amplitude, so that the threshold adjustment coefficient intervals can reflect the degree of adjustment required by the risk judgment standard.

[0188] The threshold adjustment coefficient interval with a smaller threshold adjustment amplitude is used to represent the case that the risk judgment standard changes less, and the threshold adjustment coefficient interval with a larger threshold adjustment amplitude is used to represent the case that the risk judgment standard needs to be adjusted more, so that the threshold adjustment coefficient interval can adapt to the threshold adjustment requirements under different risk evolution scenarios.

[0189] When the comprehensive evaluation result is determined, the corresponding threshold adjustment coefficient is selected by comparing the comprehensive evaluation result with a preset threshold adjustment coefficient interval, so that the adjustment process of the risk state threshold can be based on the clear interval division.

[0190] In a preferred embodiment of the present application, the risk change rate is compared with a preset risk change rate grading interval in a step-by-step manner to determine the risk change level corresponding to the risk change rate in the current monitoring period, including:

[0191] First, after obtaining the change of the risk state quantity in the adjacent monitoring period, the change is input as a risk change rate for representing the speed of risk change in the current stage.

[0192] Subsequently, the risk change rate is compared in a step-by-step manner according to the preset risk change rate grading interval sequence to determine which risk change rate grading interval the risk change rate falls into.

[0193] When the risk change rate meets the value range of a certain risk change rate grading interval, it is determined that the risk change rate in the current monitoring period corresponds to the risk change level associated with the grading interval, thereby converting the continuous risk change rate into a discrete risk change level for subsequent processing.

[0194] In a preferred embodiment of the present application, according to the risk change level, the risk change level is converted into a risk level coefficient for participating in threshold evaluation calculation according to a preset level mapping rule, including:

[0195] First, in the system initialization stage, the risk level coefficients corresponding to different risk change levels are preset for reflecting the influence degree of different risk change levels in the threshold adjustment process.

[0196] Subsequently, when the risk change level corresponding to the current monitoring period is determined, the risk level coefficient corresponding to the risk change level is selected from the preset risk level coefficient set according to the level mapping rule.

[0197] In the above manner, the risk change level is converted into a risk level coefficient that can directly participate in subsequent environmental risk evaluation adjustment, so that the risk change trend can participate in the threshold adjustment process in a quantitative form.

[0198] In a preferred embodiment of the present application, the environmental input data is split according to a preset environmental evaluation rule to obtain multiple environmental evaluation components respectively representing the stability of the construction environment, the complexity of the operation condition, and the completeness of the protection condition, including:

[0199] Firstly, in each monitoring period, environment input data related to the construction site environment is obtained, and the environment input data at least includes construction area structure state, operation condition change situation and protection facility configuration situation.

[0200] Subsequently, according to a preset environment evaluation rule, the environment input data is classified and processed, the data related to the construction area structure and support state is classified into an environment evaluation component for representing the construction environment stability degree, the data related to the operation mode, operation frequency and operation interference factor is classified into an environment evaluation component for representing the operation condition complexity degree, and the data related to the protection facility configuration and use state is classified into an environment evaluation component for representing the protection condition completeness degree.

[0201] Through the above splitting processing, environment information of different sources and different natures forms corresponding environment evaluation components respectively, thereby providing a basis for subsequent environment risk quantization processing.

[0202] In a preferred embodiment of the present application, according to the plurality of environment evaluation components, environment risk quantization processing is performed on the construction environment in the current monitoring period to generate an environment risk evaluation value for participating in threshold value evaluation calculation, including:

[0203] Firstly, after obtaining the environment evaluation components corresponding to the construction environment stability degree, the operation condition complexity degree and the protection condition completeness degree, according to a preset environment risk quantization rule, risk degree evaluation is performed on each environment evaluation component, so that each environment evaluation component corresponds to an evaluation result reflecting the risk level.

[0204] Subsequently, according to a preset environment risk quantization rule, the evaluation results corresponding to each environment evaluation component are comprehensively processed, so that different types of risk factors in the construction environment can jointly form a unified environment risk evaluation result.

[0205] Through the above method, the plurality of environment evaluation components is integrated into a single environment risk evaluation value for representing the overall influence degree of the construction environment on the free-fall risk in the current monitoring period.

[0206] In a preferred embodiment of the present application, according to the risk grade coefficient, the environment risk evaluation value is adjusted to obtain a comprehensive evaluation result comprehensively reflecting the influence of the risk change rate and the environment risk, including:

[0207] Firstly, the environment risk evaluation value determined in the current monitoring period is taken as a basic evaluation result for representing the influence level of the construction environment on the free-fall operation risk.

[0208] Then, a risk level coefficient corresponding to the current risk change level is introduced, and the risk level coefficient is applied to the environmental risk assessment value according to a preset adjustment rule, so that the environmental risk assessment value can be adjusted according to the risk change trend.

[0209] When the risk change level is high, the comprehensive evaluation result is relatively increased through the adjustment processing, so as to reflect the case that the risk evolves rapidly in the time dimension; when the risk change level is low, the comprehensive evaluation result is kept at a relatively stable level through the adjustment processing, so that the finally obtained comprehensive evaluation result can reflect the comprehensive influence of the construction environmental risk and the risk change rate on the threshold adjustment.

[0210] Embodiments of the present application also provide a construction personnel free fall intelligent early warning system, the system comprising:

[0211] The monitoring acquisition module is configured to continuously monitor the construction personnel in the free fall operation area of the construction site, and periodically acquire the spatial position information, the body posture information and the safety protection state information of the construction personnel in a preset time interval, wherein the body posture information includes the body center of gravity position and the body inclination angle.

[0212] The displacement analysis module is configured to calculate the displacement change amount of the construction personnel in the direction towards the boundary of the free fall operation area according to the spatial position information acquired in adjacent monitoring periods, and determine whether the construction personnel enters a preset free fall danger determination range.

[0213] The posture parameter generation module is configured to acquire the body center of gravity position change amount, the body inclination angle change amount and the displacement change amount in a plurality of continuous monitoring periods when the construction personnel enters the free fall danger determination range, and generate a period posture change parameter reflecting the posture change degree of the construction personnel according to the change amounts corresponding to each monitoring period.

[0214] The risk state quantity generation module is configured to accumulate the plurality of period posture change parameters to generate a risk state quantity reflecting the free fall risk evolution of the construction personnel.

[0215] The risk determination module is configured to compare the risk state quantity with a risk state threshold value which is adaptively adjusted according to the construction scene, and determine that the construction personnel is still in a controllable operation state when the risk state quantity does not reach the risk state threshold value.

[0216] The protection state verification module is configured to determine whether the construction personnel is effectively connected with the anti-falling protection device in combination with the safety protection state information when it is determined that the construction personnel is in the controllable operation state, and maintain the current risk state quantity and not output the free fall early warning information when the construction personnel is effectively connected with the anti-falling protection device.

[0217] The early warning output module is configured to generate a free fall risk early warning signal and output corresponding early warning information when the risk state quantity reaches or exceeds the risk state threshold or when it is determined that the construction personnel is not effectively connected with the anti-falling protection device.

[0218] It should be noted that the system is a system corresponding to the above method, and all the implementation manners in the method embodiment are applicable to this embodiment and can also achieve the same technical effects.

[0219] Embodiments of the application also provide a computing device, comprising a processor, a memory storing a computer program, the computer program being executed by the processor to perform the method described above. All the implementation manners in the method embodiment are applicable to this embodiment and can also achieve the same technical effects.

[0220] Embodiments of the application also provide a computer readable storage medium storing instructions, when the instructions are executed on a computer, the computer executes the method described above. All the implementation manners in the method embodiment are applicable to this embodiment and can also achieve the same technical effects.

[0221] The above is the preferred embodiment of the application, it should be noted that for those skilled in the art, without departing from the principles of the application, can make a number of improvements and refinements, these improvements and refinements should also be considered as the protection scope of the application.

Claims

1. A method for intelligent pre-warning of construction personnel falling in air, characterized in that, The method comprises: In the free operation area of the construction site, the spatial position information, the body posture information and the safety protection state information of the construction personnel are periodically acquired at preset time intervals, and the body posture information includes the body center of gravity position and the body inclination angle; According to the spatial position information acquired in the adjacent monitoring period, the displacement change amount of the construction personnel in the direction towards the boundary of the free operation area is calculated, and it is judged whether the construction personnel enters the preset free-fall danger judgment range; When the construction personnel enters the free-fall danger judgment range, the body center of gravity position change amount, the body inclination angle change amount and the displacement change amount in the continuous multiple monitoring periods are respectively acquired, and the period posture change parameter reflecting the posture change degree of the construction personnel is generated according to the change amounts corresponding to each monitoring period; The continuous multiple period posture change parameters are accumulated and processed to generate a risk state quantity for representing the free-fall risk evolution of the construction personnel; The risk state quantity is compared with the risk state threshold value which is adaptively adjusted according to the construction scene, and when the risk state quantity does not reach the risk state threshold value, it is determined that the construction personnel is still in a controllable operation state; When it is determined that the construction personnel is in a controllable operation state, it is judged whether the construction personnel is effectively connected with the anti-falling protection device according to the safety protection state information, and when the effective connection is maintained, the current risk state quantity is maintained and the free-fall warning information is not outputted; When the risk state quantity reaches or exceeds the risk state threshold value, or it is judged that the construction personnel is not effectively connected with the anti-falling protection device, a free-fall risk warning signal is generated and the corresponding warning information is outputted.

2. The intelligent pre-warning method for construction personnel falling in free fall according to claim 1, characterized in that, According to the spatial position information acquired in the adjacent monitoring period, the displacement change amount of the construction personnel in the direction towards the boundary of the free operation area is calculated, and it is judged whether the construction personnel enters the preset free-fall danger judgment range, comprising: In each monitoring period, the boundary distance value between the current position of the construction personnel and the boundary of the free operation area is calculated according to the acquired spatial position information of the construction personnel; According to the boundary distance values corresponding to the adjacent monitoring periods, the difference between the boundary distance value of the previous monitoring period and the boundary distance value of the current monitoring period is calculated to obtain the displacement change amount of the construction personnel in the direction towards the boundary of the free operation area in the current monitoring period; According to the displacement change amounts obtained in the continuous multiple monitoring periods, the direction of each displacement change amount is determined according to the time sequence of the monitoring periods to obtain the displacement direction determination result corresponding to each monitoring period; When the displacement direction determination results in the continuous multiple monitoring periods all point to the boundary of the free operation area, and the corresponding displacement change amounts satisfy the preset continuous displacement determination condition, the judgment result of entering the free-fall danger judgment range is generated according to the displacement direction determination result and the displacement change amount.

3. The intelligent pre-warning method for construction personnel falling in free fall according to claim 1, characterized in that, The body center of gravity position change amount, the body inclination angle change amount and the displacement change amount in the continuous multiple monitoring periods are respectively acquired, and the period posture change parameter reflecting the posture change degree of the construction personnel is generated according to the change amounts corresponding to each monitoring period, comprising: In each monitoring period, the body center of gravity position and the body inclination angle of the construction personnel are acquired, and combined with the spatial position information in the corresponding monitoring period, the posture basic data of the monitoring period is formed; According to the posture basic data in the adjacent monitoring period, the body center of gravity positions of the previous monitoring period and the current monitoring period are compared and processed, the body center of gravity position change quantity of the current monitoring period is generated, and the body inclination angles are compared and processed, the body inclination angle change quantity of the current monitoring period is generated; The body center of gravity position change quantity, the body inclination angle change quantity and the displacement change quantity obtained in the current monitoring period are taken as the posture change input data of the same monitoring period; According to the posture change input data, the three kinds of change quantities are uniformly processed according to the preset posture parameter generation rule, and the cycle posture change parameter corresponding to the monitoring period is generated.

4. The intelligent pre-warning method for construction personnel falling in free fall according to claim 1, characterized in that, The continuous multiple cycle posture change parameters are accumulated and processed to generate a risk state quantity for representing the evolution of the construction personnel's free fall risk, including: In the initial monitoring period, according to the cycle posture change parameter corresponding to the initial monitoring period, the initial risk state quantity is determined; In each subsequent monitoring period, the cycle posture change parameter corresponding to the current monitoring period is compared with the cycle posture change parameter corresponding to the previous monitoring period, and the posture change quantity of the cycle posture change parameter is obtained; According to the corresponding relationship between the posture change quantity and the preset posture change interval, and based on the number of monitoring periods corresponding to the current monitoring period, the risk state quantity incremental updating mode for the current monitoring period is determined, and the risk state quantity corresponding to the current monitoring period is generated by updating the risk state quantity corresponding to the previous monitoring period according to the incremental updating mode.

5. The intelligent pre-warning method for construction personnel falling in free fall according to claim 4, characterized in that, According to the corresponding relationship between the posture change quantity and the preset posture change interval, and based on the number of monitoring periods corresponding to the current monitoring period, the risk state quantity incremental updating mode for the current monitoring period is determined, and the risk state quantity corresponding to the current monitoring period is generated by updating the risk state quantity corresponding to the previous monitoring period according to the incremental updating mode, including: The posture change quantity is compared with a plurality of posture change intervals to determine the posture change interval in which the posture change quantity is located; According to the determined posture change interval, the incremental updating coefficient corresponding to the posture change interval is selected, and different posture change intervals correspond to different sizes of incremental updating coefficients; Based on the number of monitoring periods corresponding to the current monitoring period, the incremental updating coefficient is corrected to obtain the target incremental updating coefficient corresponding to the current monitoring period; The posture change quantity and the target incremental updating coefficient are multiplied to obtain the risk increment value corresponding to the current monitoring period; The risk increment value and the risk state quantity corresponding to the previous monitoring period are accumulated to generate the risk state quantity corresponding to the current monitoring period.

6. The intelligent pre-warning method for construction personnel falling in free fall according to claim 1, characterized in that, The adaptive adjustment method of the risk state threshold value, comprising: When the construction personnel enters the free fall operation area, the free fall operation area type, the operation type of the construction personnel and the danger level information corresponding to the construction area are acquired to form the initial input data for threshold setting; According to the initial input data, a matching process is performed with a plurality of preset basic risk threshold intervals to determine a basic risk threshold interval corresponding to the current construction scene, and an initial risk state threshold is selected within the determined basic risk threshold interval; Real-time environmental information of the construction site and behavior change information of the construction personnel are continuously acquired, and the real-time environmental information and the behavior change information are used as environmental input data for dynamic threshold adjustment; In a plurality of consecutive monitoring periods, the change of the risk state quantity between adjacent monitoring periods is acquired, and a change rate calculation process is performed on the change to generate a risk change rate representing the risk change trend of the construction personnel; According to the risk change rate and the environmental input data, the risk change trend and the construction environmental risk are jointly evaluated, and a threshold adjustment coefficient for adjusting the initial risk state threshold is determined according to the joint evaluation result; The initial risk state threshold is dynamically adjusted according to the threshold adjustment coefficient to generate a current risk state threshold.

7. The intelligent pre-warning method for construction personnel falling in free fall according to claim 6, characterized in that, According to the risk change rate and the environmental input data, the risk change trend and the construction environmental risk are jointly evaluated, and a threshold adjustment coefficient for adjusting the initial risk state threshold is determined according to the joint evaluation result, including: The risk change rate is compared with a plurality of preset risk change rate classification intervals in a step-by-step manner to determine a risk change level corresponding to the risk change rate in the current monitoring period; According to the risk change level, a risk level coefficient for participating in threshold evaluation calculation is converted from the risk change level according to a preset level mapping rule; The environmental input data is split according to a preset environmental evaluation rule to obtain a plurality of environmental evaluation components respectively representing the stability of the construction environment, the complexity of the working conditions, and the completeness of the protection conditions; According to the plurality of environmental evaluation components, environmental risk quantification processing is performed on the construction environment in the current monitoring period to generate an environmental risk evaluation value for participating in threshold evaluation calculation; The environmental risk evaluation value is adjusted according to the risk level coefficient to obtain a comprehensive evaluation result comprehensively reflecting the influence of the risk change rate and the environmental risk; The comprehensive evaluation result is compared with a plurality of preset threshold adjustment coefficient intervals to determine a threshold adjustment coefficient interval in which the comprehensive evaluation result is located, and a threshold adjustment coefficient corresponding to the coefficient interval is selected as a threshold adjustment coefficient for adjusting the initial risk state threshold.

8. A construction worker free fall intelligent early warning system, characterized in that, The system is applied to the method of any one of claims 1 to 7, and the system comprises: A monitoring acquisition module is configured to continuously monitor the construction personnel in the free-air operation area of the construction site, and periodically acquire the spatial position information, the body posture information, and the safety protection state information of the construction personnel in a preset time interval, wherein the body posture information includes the body center of gravity position and the body inclination angle; A displacement analysis module is configured to calculate the displacement change of the construction personnel in the direction towards the boundary of the free-air operation area according to the spatial position information acquired in adjacent monitoring periods, and determine whether the construction personnel enters a preset free-air danger determination range. The posture parameter generation module is configured to obtain a body center of gravity position change amount, a body inclination angle change amount, and a displacement change amount in a plurality of continuous monitoring periods when the construction personnel enters the air risk determination range, and generate a period posture change parameter reflecting a posture change degree of the construction personnel according to the change amounts corresponding to the monitoring periods. The risk state quantity generation module is configured to accumulate the plurality of period posture change parameters to generate a risk state quantity reflecting an evolution of the air falling risk of the construction personnel. The risk determination module is configured to compare the risk state quantity with a risk state threshold value that is adaptively adjusted according to the construction scene, and determine that the construction personnel is still in a controllable operation state when the risk state quantity does not reach the risk state threshold value. The protection state verification module is configured to, when it is determined that the construction personnel is in the controllable operation state, judge whether the construction personnel is effectively connected with the anti-falling protection device in combination with the safety protection state information, maintain the current risk state quantity when the effective connection is maintained, and not output the air falling early warning information. The early warning output module is configured to generate an air falling risk early warning signal and output corresponding early warning information when the risk state quantity reaches or exceeds the risk state threshold value, or when it is judged that the construction personnel is not effectively connected with the anti-falling protection device.

9. A computing device, comprising: One or more processors; A storage device is configured to store one or more programs, when the one or more programs are executed by the one or more processors, so that the one or more processors implement the method according to any one of claims 1 to 7. The computer readable storage medium stores a program, and the program is executed by the processor to implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, ​

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