Intelligent construction elevator and safety monitoring and management system for construction elevator

Abstract

The present invention discloses an intelligent construction elevator and its safety monitoring and management system. The system includes a data receiving module for receiving the operation data of the construction elevator; the operation data includes the equipment's own operation data, the image data in the cage, and the environmental data outside the cage; a data analysis module for analyzing the operation data, evaluating the rollover risk value, fault risk value, and behavioral risk value of the elevator, so as to comprehensively evaluate the operation risk value of the elevator; an operation suggestion recommendation module for generating corresponding operation suggestions according to the analysis results; a monitoring and early warning module for triggering an alarm prompt when the operation risk value is greater than a preset operation risk threshold. The present invention can comprehensively evaluate the operation risk of the elevator from multiple dimensions, ensuring the accuracy of the risk assessment results; by triggering an alarm when various risks exceed the threshold, and generating operation suggestions to scientifically guide the use of the elevator, the safety of the elevator use is greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent construction monitoring, and in particular to an intelligent construction elevator and a safety monitoring management system for the construction elevator. Background Art

[0002] Construction hoist is an important equipment used for vertical transportation of personnel and materials at construction sites. It enables the cage to move vertically or tilted by gear rack meshing or wire rope lifting. The safety of construction hoist is of vital importance, as it is directly related to the life safety of workers and the progress of the project.

[0003] At present, the safety monitoring of construction elevators mainly relies on manual experience. For example, managers will remind workers of their elevator riding behavior to reduce human-caused safety hazards; or check the material load from time to time, troubleshoot or repair the elevator equipment, etc., to determine whether there is an overweight or equipment failure problem. However, this safety management method is obviously not intelligent enough, and troubleshooting of equipment is usually only carried out after the equipment fails, and real-time monitoring is not possible. In addition, the risks and hidden dangers considered by this traditional supervision method are relatively single, and it is impossible to objectively and accurately assess the operating risks of the elevator, so the safe operation of the elevator cannot be guaranteed. Summary of the invention

[0004] In order to solve at least one of the technical problems mentioned above, the present invention provides an intelligent construction elevator and a safety monitoring and management system for the construction elevator.

[0005] In a first aspect, the present invention provides a safety monitoring and management system for an intelligent construction elevator, the system comprising:

[0006] A data receiving module is used to receive the operation data uploaded by the construction elevator, wherein the operation data includes the operation data of the equipment itself, the image data in the cage, and the environmental data outside the cage. The operation data of the equipment itself includes the load of the cage, the actual operation speed, the tilt angle of the cage, and the equipment loss rate;

[0007] A data analysis module, used for analyzing the operation data, includes:

[0008] A rollover risk assessment unit is used to calculate a target operating speed based on environmental data and cage load, and to assess a rollover risk value of the construction hoist based on a difference between the target operating speed and the actual operating speed and an inclination angle of the cage;

[0009] A failure risk assessment unit is used to assess the failure risk value of the construction hoist based on environmental data, cage load, and equipment loss rate;

[0010] A behavior risk assessment unit, used to determine the dangerous behavior of the staff in the cage according to the image data in the cage, and to assess the behavior risk value according to the dangerous behavior;

[0011] An operation risk assessment unit is used to substitute the rollover risk value, the failure risk value and the behavior risk value into the risk assessment model to assess the operation risk value of the construction elevator;

[0012] An operation suggestion recommendation module is used to obtain the analysis results of the data analysis module and generate corresponding operation suggestions and send them to the construction elevator;

[0013] The monitoring and early warning module is used to obtain the operation risk value of the construction elevator and determine whether the operation risk value of the construction elevator is greater than a preset operation risk threshold; when the operation risk value is greater than the preset operation risk threshold, an alarm prompt is triggered.

[0014] Preferably, the operation suggestion recommendation module includes:

[0015] A speed update indicating unit, used to compare the rollover risk value with a preset rollover risk threshold, and if the rollover risk value is greater than the preset rollover risk threshold, send the target running speed to the construction elevator to control the construction elevator to update the actual running speed according to the target running speed;

[0016] A fault troubleshooting indication unit is used to compare the fault risk value with a preset fault risk threshold value, and if the fault risk value is greater than the preset fault risk threshold value, generate a fault troubleshooting instruction and send it to the construction elevator to control the construction elevator to suspend operation and enter a fault troubleshooting state;

[0017] The behavior correction indication unit is used to compare the risk value of dangerous behavior with the preset behavior risk threshold. If the risk value of dangerous behavior is greater than the preset behavior risk threshold, an operation suggestion that complies with the standard behavior of boarding is generated and sent to the construction elevator to control the staff in the cage to correct their behavior.

[0018] Preferably, the rollover risk assessment unit is used to calculate the target running speed, including:

[0019] v o =v i (1-σ v )

[0020] σ v =w1lgσ H +w2e -σG

[0021] σ H =σ T +σ h +σ a

[0022] In the formula, v o Indicates the target operating speed of the elevator, v i Indicates the theoretical running speed under the load of G, σ v represents the speed influence factor, σ T , σ h , σ a Respectively represent the temperature influence factor, humidity influence factor and wind speed influence factor, σ H represents the environmental impact factor, σ G represents the load influence factor, w1 and w2 represent the weights respectively.

[0023] Preferably, the rollover risk assessment unit is used to assess the rollover risk value of the construction hoist, including:

[0024] Δv=v i σ v

[0025]

[0026]

[0027] In the formula, Δv represents the difference between the target speed and the actual speed of the elevator, v o 、v i They represent the target speed and actual speed of the elevator respectively; R represents the rollover risk value of the elevator, P1 represents the stability index of the elevator, g represents the acceleration of gravity, θ represents the inclination angle of the cage, and f a 、f m They represent air resistance and sliding friction resistance respectively.

[0028] Preferably, the failure risk assessment unit is used to assess the failure risk value of the construction elevator, including:

[0029]

[0030] Where P2 represents the failure risk value of the construction elevator, σ H represents the environmental impact factor, σ G represents the load impact factor, S represents the equipment loss rate, It represents the meshing degree between the cage gear and the rack, S0 is the preset floating meshing degree, c i d i Respectively represent the gear wear degree and rack wear degree, l c0 , l ci Respectively represent the initial thickness of the gear and the current thickness of the gear, l d0 , l di They represent the initial thickness of the rack and the current thickness of the rack respectively.

[0031] Preferably, the behavior risk assessment unit is used to assess the behavior risk value, including:

[0032] Identify the identity information of the staff, match the identity information with the color of the helmet, and determine whether the helmet is worn incorrectly based on the matching results;

[0033] Identify workers' behaviors of not wearing helmets and dangerous operation behaviors, such as running, jumping, and wrong button operation in the cage;

[0034] The behavior risk value is determined according to the behavior of wearing the helmet incorrectly, the behavior of not wearing the helmet, and the dangerous operation behavior. Preferably, the calculation model of the behavior risk value is:

[0035] P3=w3B n 2 +w4B r +w5B b

[0036] In the formula, P3 represents the behavior risk value, B n , B r , B b They represent the risk values ​​corresponding to missing a helmet, wearing a helmet incorrectly, and dangerous operating behaviors respectively. w3, w4, and w5 represent the weights respectively, and w3>w4>w5 is satisfied.

[0037] Preferably, the operation risk assessment unit is used to substitute the rollover risk value, the failure risk value and the behavior risk value into the risk assessment model to assess the operation risk value of the construction elevator, including:

[0038]

[0039]

[0040] Where P x represents the risk index. When x=1,2,3, P x Corresponding to the rollover risk value, failure risk value and behavior risk value, ρ x is the weight factor of the risk indicator, J represents the extraction parameter of the risk indicator, C x represents the correlation coefficient of the risk index; f represents the operating risk value of the elevator, and α represents the variable curvature that satisfies the Gaussian function.

[0041] In a second aspect, the present invention further provides an intelligent construction elevator, which is applied to the safety monitoring and management system of the intelligent construction elevator as described in any one of the above items, comprising:

[0042] Control system and lift body;

[0043] The control system is used to exchange data with the safety monitoring management system, including sending the collected operation data of the construction elevator to the safety monitoring management system, and responding to the operation suggestions recommended by the safety monitoring management system to control the operation of the elevator body;

[0044] The elevator body includes a cage and a safety control system; a driving structure and a transmission structure are provided on the cage, the driving structure is used to drive the cage to operate, and is slidingly connected to the cage beam through the transmission structure; the safety control system includes an emergency braking system, a limiter, a safety door and a fall arrester.

[0045] Compared with the prior art, the present invention has the following beneficial effects:

[0046] The safety monitoring and management system of the intelligent construction elevator provided by the present invention first receives the operation data uploaded by the construction elevator through the data receiving module, the operation data includes the equipment's own operation data, the image data in the cage and the environmental data outside the cage, the equipment's own operation data includes the cage load, the actual operation speed, the cage inclination angle and the equipment loss rate; then, each sub-unit in the data analysis module is used to calculate the rollover risk value, the fault risk value and the behavior risk value respectively, and finally, the operation risk value of the construction elevator is comprehensively calculated based on these three values; the operation risk influencing factors of the elevator are considered from multiple angles and multiple indicators in a fine-grained manner, so as to obtain the operation risk value of the elevator more accurately, and provide an effective data basis for the subsequent operation recommendation generation and manual intervention. In addition, the system also provides an operation suggestion recommendation module for obtaining the analysis results of the data analysis module and generating corresponding operation suggestions, so that effective response strategies can be provided for each situation where the risk indicator exceeds the preset threshold, thereby providing scientific and objective guidance for the staff to use the elevator. Finally, the system also includes a monitoring and early warning module, which is used to obtain the operation risk value of the construction elevator and determine whether the operation risk value of the construction elevator is greater than the preset operation risk threshold; when the operation risk value is greater than the preset operation risk threshold, an alarm prompt is triggered. Therefore, the present invention can comprehensively evaluate the operation risk of the elevator from multiple dimensions, ensuring the accuracy of the risk assessment results; by triggering an alarm when various risks exceed the threshold, and generating operation suggestions to scientifically guide the use of the elevator, the safety of the elevator use is greatly improved, and the energy efficiency of elevator safety supervision is enhanced.

[0047] It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the background technology, the drawings required for use in the embodiments of the present invention or the background technology will be described below.

[0049] The drawings herein are incorporated into the specification and constitute a part of the specification. These drawings illustrate embodiments consistent with the present disclosure and are used to illustrate the technical solutions of the present disclosure together with the specification.

[0050] Figure 1 A schematic diagram of the structure of a safety monitoring and management system for an intelligent construction elevator provided by an embodiment of the present invention;

[0051] Figure 2 A schematic diagram of the structure of the subunits of the operation suggestion recommendation module provided in an embodiment of the present invention;

[0052] Figure 3 A schematic structural diagram of an intelligent construction elevator provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0053] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units that are inherent to these processes, methods, products or devices.

[0055] The term "and / or" herein is only a description of the association relationship of the associated objects, indicating that there may be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the term "at least one" herein represents any combination of at least two of any one or more of a plurality of. For example, including at least one of A, B, and C can represent including any one or more elements selected from the set consisting of A, B, and C.

[0056] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0057] In addition, in order to better illustrate the present invention, numerous specific details are provided in the following specific embodiments. It should be understood by those skilled in the art that the present invention can be implemented without certain specific details. In some examples, methods, means, components and circuits well known to those skilled in the art are not described in detail in order to highlight the subject matter of the present invention.

[0058] At present, the safety control of the working status of the elevator mainly relies on manual experience, so there are problems such as low accuracy, low intelligence and unsatisfactory supervision effect. To this end, the present invention provides a safety monitoring and management system for intelligent construction elevators, which can accurately evaluate the operation risk value from multiple risk indicators, and provide safety alarms and correct operation instructions, thereby greatly improving the safety of the elevator operation process.

[0059] See also Figure 1 , Figure 1 A schematic diagram of the structure of a safety monitoring and management system for an intelligent construction elevator provided by an embodiment of the present invention. Figure 1 It can be seen that the security monitoring management system includes:

[0060] The data receiving module 10 is used to receive the operation data uploaded by the construction elevator, wherein the operation data includes the operation data of the equipment itself, the image data in the cage and the environmental data outside the cage, wherein the operation data of the equipment itself includes the load of the cage, the actual operation speed, the tilt angle of the cage and the equipment loss rate;

[0061] The data analysis module 20 is used to analyze the operation data, including:

[0062] A rollover risk assessment unit 201 is used to calculate a target operating speed according to environmental data and cage load, and to assess a rollover risk value of the construction elevator according to a difference between the target operating speed and the actual operating speed and an inclination angle of the cage;

[0063] A failure risk assessment unit 202 is used to assess the failure risk value of the construction hoist according to environmental data, cage load and equipment loss rate;

[0064] A behavior risk assessment unit 203 is used to determine the dangerous behavior of the staff in the cage according to the image data in the cage, and to assess the behavior risk value according to the dangerous behavior;

[0065] An operation risk assessment unit 204, used to substitute the rollover risk value, the failure risk value and the behavior risk value into the risk assessment model to assess the operation risk value of the construction elevator;

[0066] The operation suggestion recommendation module 30 is used to obtain the analysis results of the data analysis module 20, and generate corresponding operation suggestions and send them to the construction elevator;

[0067] The monitoring and early warning module 40 is used to obtain the operation risk value of the construction elevator and determine whether the operation risk value of the construction elevator is greater than a preset operation risk threshold; when the operation risk value is greater than the preset operation risk threshold, an alarm prompt is triggered.

[0068] like Figure 1 As shown, when the system is interacting with data, the data receiving module 10 first obtains the operation data uploaded by the construction elevator. Since there are many factors that may cause risks during the operation of the elevator, such as the equipment itself, the operating speed, the environmental impact, etc., the operation data in this embodiment includes the equipment's own operation data, the image data in the cage, and the environmental data outside the cage. Among them, the equipment's own operation data includes the cage load, the actual operating speed, the cage inclination angle, and the equipment loss rate; the environmental data outside the cage usually includes temperature, humidity, and wind speed.

[0069] It should be noted that the cage load, actual operating speed, cage inclination angle and environmental data outside the cage, including temperature, humidity and wind speed, can all be measured by corresponding sensors, among which the load is mainly determined by the pressure sensor. The equipment loss rate is mainly determined by the meshing degree of the gear and rack in the cage transmission mechanism. The image data in the cage is mainly obtained by the image acquisition device installed in the cage, such as a camera.

[0070] When collecting image data, in order to obtain clearer video images, it is usually necessary to use a photosensitive sensor to sense the light intensity of the collection environment, generate a corresponding photosensitive signal based on the perceived light intensity and send it to the image acquisition device, so that the image acquisition device can control the mode to collect the video image in the cage according to the photosensitive signal.

[0071] After the data receiving module 10 obtains the operating data, it will send the operating data to the data analysis module 20 for processing and analysis. Each subunit in the data receiving module 10 will calculate the rollover risk value, fault risk value and behavior risk value of the elevator according to different data, and finally calculate the operating risk value of the elevator based on these three values.

[0072] The operation suggestion recommendation module 30 is mainly used to obtain the analysis results of the data analysis module 20, and generate corresponding operation suggestions to send to the construction elevator, so as to scientifically guide the staff to use the elevator, thereby reducing the probability of risk accidents. The monitoring and early warning module 40 mainly obtains the operation risk value of the construction elevator calculated by the data analysis module 20, and determines whether the operation risk value is greater than the preset operation risk threshold; when the operation risk value is greater than the preset operation risk threshold, the monitoring and early warning module 40 triggers an alarm prompt to remind the safety supervisor to intervene in time.

[0073] In summary, the safety monitoring and management system of the intelligent construction elevator provided in this embodiment first receives the operating data uploaded by the construction elevator through the data receiving module 10, and the operating data includes the equipment's own operating data, the image data in the cage, and the environmental data outside the cage. The equipment's own operating data includes the cage load, the actual operating speed, the cage inclination angle, and the equipment loss rate; then, each sub-unit in the data analysis module 20 is used to calculate the rollover risk value, the fault risk value, and the behavior risk value, and finally, the operating risk value of the construction elevator is comprehensively calculated based on these three values; the operating risk influencing factors of the elevator are considered from multiple angles and multiple indicators in a fine-grained manner, so as to obtain the operating risk value of the elevator more accurately, providing an effective data basis for subsequent operation recommendation generation and manual intervention.

[0074] In addition, the system also provides an operation suggestion recommendation module 30, which is used to obtain the analysis results of the data analysis module 20 and generate corresponding operation suggestions, so that effective response strategies can be provided for each situation where the risk indicator exceeds the preset threshold, thereby providing scientific and objective guidance for the staff to use the elevator. Finally, the system also includes a monitoring and early warning module 40, which is used to obtain the operation risk value of the construction elevator and determine whether the operation risk value of the construction elevator is greater than the preset operation risk threshold; when the operation risk value is greater than the preset operation risk threshold, an alarm prompt is triggered. Therefore, the present invention can comprehensively evaluate the operation risk of the elevator from multiple dimensions, ensuring the accuracy of the risk assessment results; by triggering an alarm when various risks exceed the threshold, and generating operation suggestions to scientifically guide the use of the elevator, the safety of the elevator use is greatly improved, and the energy efficiency of the elevator safety supervision is enhanced.

[0075] See also Figure 2 , Figure 2 This is a schematic diagram of the structure of the subunits of the operation suggestion recommendation module 30 provided by the present invention. In some embodiments, the operation suggestion recommendation module 30 includes:

[0076] The speed update indicating unit 301 is used to compare the rollover risk value with a preset rollover risk threshold value, and if the rollover risk value is greater than the preset rollover risk threshold value, send the target running speed to the construction elevator to control the construction elevator to update the actual running speed according to the target running speed;

[0077] A fault troubleshooting instruction unit 302 is used to compare the fault risk value with a preset fault risk threshold value, and if the fault risk value is greater than the preset fault risk threshold value, generate a fault troubleshooting instruction and send it to the construction elevator to control the construction elevator to suspend operation and enter a fault troubleshooting state;

[0078] The behavior correction instruction unit 303 is used to compare the dangerous behavior risk value with the preset behavior risk threshold. If the dangerous behavior risk value is greater than the preset behavior risk threshold, an operation suggestion that complies with the standard behavior of the passenger is generated and sent to the construction elevator to control the staff in the cage to correct the behavior.

[0079] In this embodiment, the speed update indication unit 301 can prompt to update the actual operating speed of the elevator in time to reduce the risk caused by excessive speed. The fault troubleshooting indication unit 302 can prompt to troubleshoot in time. Compared with the existing method of troubleshooting after the fault occurs, this can be prevented in advance. Through online troubleshooting, safety accidents caused by equipment failure can be reduced, and the equipment can be prevented from causing more serious damage to itself in the event of a failure. The behavior correction indication unit 303 can monitor the behavior of the staff in the cage in real time, and remind them to correct and standardize their elevator behavior in time when the behavior is inappropriate, reducing the safety hazards caused by human factors.

[0080] In some embodiments, the rollover risk assessment unit 201 is used to calculate the target running speed, including:

[0081] v o =v i (1-σ v )

[0082] σ v =w1lgσ H +w2e -σG

[0083] σ H =σ T +σ h +σ a

[0084] In the formula, v o Indicates the target operating speed of the elevator, v i Indicates the theoretical running speed under the load of G, σ v represents the speed influence factor, σ T , σ h , σa Respectively represent the temperature influence factor, humidity influence factor and wind speed influence factor, σ H represents the environmental impact factor, σ G represents the load influence factor, w1 and w2 represent the weights respectively. G The load influence factor is related to the cage load. Generally, the larger the load, the greater the G The larger the value of .

[0085] Furthermore, the calculation process of temperature influence factor, humidity influence factor and wind speed influence factor is as follows:

[0086]

[0087] Where, T max 、T min , They represent the maximum temperature, minimum temperature and average temperature from the start of the elevator to the current moment, respectively. max 、h min , They represent the maximum humidity, minimum humidity and average humidity from the start of the elevator to the current moment, respectively. max 、z min , They respectively represent the maximum wind speed, minimum wind speed and average wind speed from the start of the elevator to the current moment.

[0088] In some embodiments, the rollover risk assessment unit 201 is used to assess the rollover risk value of the construction elevator, including:

[0089]

[0090] In the formula, Δv represents the difference between the target speed and the actual speed of the elevator, v o 、v i They represent the target speed and actual speed of the elevator respectively; R represents the rollover risk value of the elevator, P1 represents the stability index of the elevator, g represents the acceleration of gravity, θ represents the inclination angle of the cage, and f a 、f m They represent air resistance and sliding friction resistance respectively.

[0091] In some embodiments, the failure risk assessment unit 202 is used to assess the failure risk value of the construction elevator, including:

[0092]

[0093] Where P2 represents the failure risk value of the construction elevator, σ H represents the environmental impact factor, σ Grepresents the load impact factor, S represents the equipment loss rate, It represents the meshing degree between the cage gear and the rack, S0 is the preset floating meshing degree, c i d i Respectively represent the gear wear degree and rack wear degree, l c0 , l ci Respectively represent the initial thickness of the gear and the current thickness of the gear, l d0 , l di They represent the initial thickness of the rack and the current thickness of the rack respectively.

[0094] In some embodiments, the behavior risk assessment unit 203 is used to assess the behavior risk value, including:

[0095] Identify the identity information of the staff, match the identity information with the color of the helmet, and determine whether the helmet is worn incorrectly based on the matching results;

[0096] Identify workers' behaviors of not wearing helmets and dangerous operation behaviors, such as running, jumping, and wrong button operation in the cage;

[0097] The behavior risk value is determined according to the behavior of wearing the helmet incorrectly, the behavior of not wearing the helmet, and the dangerous operation behavior. Specifically, the calculation model of the behavior risk value is:

[0098] P3=w3B n 2 +w4B r +w5B b

[0099] In the formula, P3 represents the behavior risk value, B n , B r , B b They represent the risk values ​​corresponding to missing a helmet, wearing a helmet incorrectly, and dangerous operating behaviors respectively. w3, w4, and w5 represent the weights respectively, and w3>w4>w5 is satisfied.

[0100] It is understandable that the value of w3 is usually the largest because not wearing a helmet poses the greatest safety hazard.

[0101] In some embodiments, the operation risk assessment unit 204 is used to substitute the rollover risk value, the failure risk value, and the behavior risk value into the risk assessment model to assess the operation risk value of the construction elevator, including:

[0102]

[0103] Where P x represents the risk index. When x=1,2,3, P xCorresponding to the rollover risk value, failure risk value and behavior risk value, ρ x is the weight factor of the risk indicator, J represents the extraction parameter of the risk indicator, C x represents the correlation coefficient of the risk index; f represents the operating risk value of the elevator, and α represents the variable curvature that satisfies the Gaussian function.

[0104] When calculating the rollover risk value, the above-mentioned embodiment takes into account the influence of the cage's running speed and tilt angle. Combined with air resistance and friction resistance, the rollover risk of the elevator cage in operation can be more accurately assessed. When calculating the fault risk value, the comprehensive influence of the environment, load and equipment loss rate is mainly considered. When evaluating the behavioral risk value, the personnel's helmet wearing and elevator behavior are mainly considered to determine whether the personnel have the wrong helmet, missed helmets, and improper elevator behavior, such as fighting, jumping, shaking, running, and randomly touching the operation buttons of the display interface, etc., and comprehensively analyze the behavioral risk values ​​caused by human factors for these situations. Finally, the operation risk value of the construction elevator is comprehensively calculated based on the three values ​​of rollover risk value, fault risk value and behavior risk value; the operating risk influencing factors of the elevator are considered from multiple angles, multiple indicators, and fine-grained, so as to obtain the operation risk value of the elevator more accurately, providing an effective data basis for the subsequent operation recommendation generation and manual intervention.

[0105] See also Figure 3 In one embodiment, the present invention further provides an intelligent construction elevator, which is applied to the safety monitoring and management system 100 of the intelligent construction elevator as described in any of the above embodiments. Specifically, the intelligent construction elevator includes:

[0106] A control system 60 and an elevator body 50;

[0107] The control system 60 is used to interact with the safety monitoring management system 100, including sending the collected operation data of the construction elevator to the safety monitoring management system 100, and responding to the operation suggestions recommended by the safety monitoring management system 100 to control the operation of the elevator body 50;

[0108] The elevator body 50 includes a cage and a safety control system 60; a driving structure and a transmission structure are provided on the cage, the driving structure is used to drive the cage to operate, and is slidably connected to the cage beam through the transmission structure; the safety control system 60 includes an emergency braking system, a limiter, a safety door and a fall arrester.

[0109] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods when implementing them in actual applications. For example, multiple units or page components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.

[0110] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0111] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0112] The above-mentioned integrated unit implemented in the form of a software functional unit can be stored in a computer-readable storage medium. The above-mentioned software functional unit is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to perform some steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program code.

[0113] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A safety monitoring and management system for an intelligent construction hoist, characterized in that: The system comprises: A data receiving module is used to receive the operation data uploaded by the construction elevator, wherein the operation data includes the operation data of the equipment itself, the image data in the cage, and the environmental data outside the cage. The operation data of the equipment itself includes the load of the cage, the actual operation speed, the tilt angle of the cage, and the equipment loss rate; A data analysis module, used for analyzing the operation data, includes: Rollover risk assessment unit, used to calculate the target operating speed based on environmental data and cage load, including: ; ; ; In the formula, Indicates the target operating speed of the elevator. Indicates the actual operating speed of the elevator. represents the speed impact factor, Respectively represent the temperature influence factor, humidity influence factor and wind speed influence factor, represents the environmental impact factor, represents the load influence factor, Respectively represent weights; The rollover risk value of the construction hoist is evaluated based on the difference between the target operating speed and the actual operating speed and the cage inclination angle, including: ; ; ; In the formula, Indicates the difference between the target operating speed and the actual operating speed of the elevator. , Respectively represent the target operating speed and actual operating speed of the elevator; Indicates the rollover risk value of the elevator, Indicates the stability index of the elevator, represents the acceleration due to gravity, Indicates the cage tilt angle, Represent air resistance and sliding friction resistance respectively; The failure risk assessment unit is used to assess the failure risk value of the construction hoist based on environmental data, cage load and equipment loss rate, including: ; ; ; ; In the formula, represents the failure risk value of the construction hoist, represents the environmental impact factor, represents the load influence factor, represents the equipment loss rate, Indicates the meshing degree between the cage gear and rack. is the preset floating engagement degree, Respectively represent the gear wear degree and rack wear degree, , Respectively represent the initial thickness of the gear and the current thickness of the gear, Represent the initial thickness of the rack and the current thickness of the rack respectively; The behavior risk assessment unit is used to determine the dangerous behavior of the staff in the cage according to the image data in the cage, and to assess the behavior risk value according to the dangerous behavior; the calculation model of the behavior risk value is: ; In the formula, represents the behavioral risk value, They represent the risk values ​​corresponding to missing a helmet, wrongly wearing a helmet, and dangerous operating behaviors. Represent weights respectively, and satisfy ; The operation risk assessment unit is used to substitute the rollover risk value, failure risk value and behavior risk value into the risk assessment model to assess the operation risk value of the construction hoist, including: ; ; ; In the formula, Represents risk indicators, satisfying hour, They correspond to rollover risk value, failure risk value and behavior risk value respectively. is the weight factor of the risk indicator, represents the extraction parameters of risk indicators, represents the correlation coefficient of the risk indicator; Indicates the operating risk value of the elevator. represents the variable curvature that satisfies the Gaussian function; An operation suggestion recommendation module is used to obtain the analysis results of the data analysis module and generate corresponding operation suggestions and send them to the construction elevator; The monitoring and early warning module is used to obtain the operation risk value of the construction elevator and determine whether the operation risk value of the construction elevator is greater than a preset operation risk threshold; when the operation risk value is greater than the preset operation risk threshold, an alarm prompt is triggered.

2. The safety monitoring and management system for the intelligent construction elevator according to claim 1 is characterized in that: The operation suggestion recommendation module includes: A speed update indicating unit, used to compare the rollover risk value with a preset rollover risk threshold, and if the rollover risk value is greater than the preset rollover risk threshold, send the target running speed to the construction elevator to control the construction elevator to update the actual running speed according to the target running speed; A fault troubleshooting indication unit is used to compare the fault risk value with a preset fault risk threshold value, and if the fault risk value is greater than the preset fault risk threshold value, generate a fault troubleshooting instruction and send it to the construction elevator to control the construction elevator to suspend operation and enter a fault troubleshooting state; The behavior correction indication unit is used to compare the risk value of dangerous behavior with the preset behavior risk threshold. If the risk value of dangerous behavior is greater than the preset behavior risk threshold, an operation suggestion that complies with the standard behavior of boarding is generated and sent to the construction elevator to control the staff in the cage to correct their behavior.

3. The safety monitoring and management system of the intelligent construction elevator according to claim 1 is characterized in that: The behavior risk assessment unit is used to assess the behavior risk value, including: Identify the identity information of the staff, match the identity information with the color of the helmet, and determine whether the helmet is worn incorrectly based on the matching results; Identify workers' behaviors of not wearing helmets and dangerous operation behaviors, such as running, jumping, and wrong button operation in the cage; The behavior risk value is determined according to the behavior of wearing the helmet incorrectly, the behavior of not wearing the helmet, and the dangerous operation behavior.

4. An intelligent construction elevator, applied to the safety monitoring and management system of the intelligent construction elevator as claimed in any one of claims 1 to 3, characterized in that: include: Control system and lift body; The control system is used to exchange data with the safety monitoring management system, including sending the collected operation data of the construction elevator to the safety monitoring management system, and responding to the operation suggestions recommended by the safety monitoring management system to control the operation of the elevator body; The elevator body includes a cage and a safety control system; a driving structure and a transmission structure are provided on the cage, the driving structure is used to drive the cage to operate, and is slidingly connected to the cage beam through the transmission structure; the safety control system includes an emergency braking system, a limiter, a safety door and a fall arrester.

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