A construction method considering the risks of hanging basket construction

Abstract

The present invention provides a construction method taking into account the risks of hanging basket construction, which belongs to the field of construction technology, and specifically comprises: using a hanging basket to carry out bridge construction, and using a monitoring device to obtain in real time the fixed state changes of the installation position of the hanging basket during the construction process, determining the safety risk coefficient of the hanging basket based on the fixed state changes, and when it is determined through the safety risk coefficient that the hanging basket does not have a safety risk, obtaining the number of construction personnel using the hanging basket and weather data, and determining the safety risk assessment and analysis cycle of the hanging basket in combination with the safety risk coefficient of the hanging basket and the construction risk, thereby improving the safety of the hanging basket construction.

Description

Technical Field

[0001] The invention belongs to the technical field of hanging baskets, and in particular relates to a construction method taking the construction risks of hanging baskets into consideration. Background Art

[0002] The hanging basket is the main equipment in cantilever construction and has been widely used in the field of bridge construction. Therefore, in order to evaluate the safety risks of the hanging basket, the invention patent application CN202411242447.X "A displacement steel frame for erecting a catwalk of a suspension bridge and its construction method" was adopted. An anchor seat and a limit plate are respectively provided at both ends of the displacement steel frame. The anchor seat and the limit plate are penetrated by a load-bearing rope. A hanging basket is connected to the bottom of one end of the displacement steel frame, which can shorten the construction period and reduce the construction difficulty, and improve the continuity and convenience of the catwalk construction. However, there are the following technical problems:

[0003] When assessing the construction risks of the hanging basket, in addition to the structural safety of the hanging basket itself, it is also necessary to conduct an assessment in conjunction with the construction environment of the hanging basket. After the hanging basket is installed, weather conditions such as rainfall and wind speed will also have a certain degree of impact on the safety of the hanging basket. Therefore, if the construction environment of the hanging basket cannot be combined, the accuracy of the assessment results of the construction risks of the hanging basket cannot be guaranteed.

[0004] In view of the above technical problems, the present invention provides a construction method taking into account the risks of hanging basket construction. Summary of the invention

[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions:

[0006] In order to solve the above technical problems, the present invention provides a construction method taking into account the risks of hanging basket construction, which specifically includes:

[0007] S1 obtains the own parameters and installation data of the hanging basket, and determines the parameter similarity coefficient between the hanging basket and the historical risk hanging basket based on the own parameters and installation data, and determines the similar hanging basket in the historical risk hanging basket based on the parameter similarity coefficient;

[0008] S2 takes the installation of the hanging basket as the starting time, determines the weather data of the hanging basket from the current time, and uses the similarity between the weather data and the weather data of similar hanging baskets and the parameter similarity coefficient to determine that the construction risk of the hanging basket meets the requirements, and then proceeds to the next step;

[0009] S3: using the hanging basket to perform bridge construction, and using a monitoring device to obtain in real time the change of the fixed state of the installation position of the hanging basket during the construction process, and determining the safety risk coefficient of the hanging basket based on the change of the fixed state. When it is determined by the safety risk coefficient that the hanging basket does not have a safety risk, proceed to the next step;

[0010] S4 obtains the number of construction workers using the hanging basket and weather data, and uses an AI model to determine the safety risk assessment and analysis cycle of the hanging basket in combination with the safety risk coefficient of the hanging basket and the construction risk.

[0011] The beneficial effects of the present invention are:

[0012] 1. In the present invention, the similarity between weather data and weather data of similar hanging baskets and parameter similarity coefficient are used to determine whether the construction risk of the hanging basket meets the requirements, thereby taking into account the influence of weather such as rainfall and wind speed on the construction risk of the hanging basket, and also taking into account the influence of the hanging basket's own parameters and fixing method on the construction risk, thereby achieving accurate assessment of the construction risk of the hanging basket from multiple angles, and avoiding the impact of construction on the safety of construction personnel due to construction risks.

[0013] 2. In the present invention, the number of construction workers on the hanging basket, weather data, the safety risk coefficient of the hanging basket and the construction risk are used to determine the assessment and analysis cycle of the safety risk of the hanging basket, thereby realizing dynamic adjustment of the assessment and analysis cycle of the safety risk of the hanging basket. This not only ensures the timeliness of the assessment of the safety risk of the hanging basket with larger construction risk and safety risk coefficient, but also ensures the timeliness of the assessment of the safety risk of the hanging basket with poor weather data or a large number of construction workers, thereby improving the safety of construction.

[0014] A further technical solution is that the parameters of the hanging basket include the hanging basket structure, weight, type of steel used, and construction technology.

[0015] A further technical solution is that the installation data of the hanging basket includes the number of installation positions and installation methods of the hanging basket.

[0016] A further technical solution is that the historical risk hanging basket includes a hanging basket where a safety accident occurred during the construction process and a hanging basket with potential safety hazards.

[0017] A further technical solution is that the method for determining the parameter similarity coefficient of the hanging basket and the historical risk hanging basket is:

[0018] Determine the similarity between the self parameters of the hanging basket and the historical risk hanging basket in different dimensions through the self parameters of the hanging basket, determine similar parameters using the similarity, and determine the basic parameter similarity coefficient between the hanging basket and the historical risk hanging basket through the proportion of the similar parameters in the self parameters;

[0019] Based on the installation data, determining the similarity between the installation methods of the hanging basket and the historical risk hanging basket, and determining the similarity coefficient of the installation data of the hanging basket and the historical risk hanging basket in combination with the deviation amount of the number of installation positions of the hanging basket and the historical risk hanging basket;

[0020] The parameter similarity coefficient between the hanging basket and the historical risk hanging basket is determined based on the installation data similarity coefficient and the basic parameter similarity coefficient.

[0021] A further technical solution is that the method for determining the similarity coefficient of the installation data is:

[0022] When the installation methods are inconsistent, it is determined that the similarity coefficient of the installation data between the hanging basket and the historical risk hanging basket is 0;

[0023] When the installation methods are consistent, the installation data similarity coefficient is determined according to a preset installation similarity coefficient corresponding to the deviation amount of the number of installation positions.

[0024] A further technical solution is that when the parameter similarity coefficient between the historical risk basket and the basket is greater than a preset similarity threshold, the historical risk basket is determined to be a similar basket.

[0025] A further technical solution is that the method for determining the safety risk assessment and analysis cycle of the hanging basket is:

[0026] Based on the safety risk coefficient of the hanging basket and the construction risk, a comprehensive risk coefficient of the hanging basket is determined, and a basic risk period of the safety risk of the hanging basket is determined using the comprehensive risk coefficient;

[0027] Determining the wind speed of the hanging basket by using the weather data, and determining the environmental risk factor of the hanging basket based on the wind speed;

[0028] According to the environmental risk factors of the hanging basket and the number of the construction workers, the AI ​​model is used to determine the real-time risk analysis cycle of the hanging basket, and the safety risk assessment and analysis cycle of the hanging basket is determined through the real-time risk analysis cycle and the basic risk cycle.

[0029] In a second aspect, the present invention provides a computer system comprising: a memory and a processor that are communicatively connected, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-mentioned construction method that takes into account the risks of hanging basket construction when running the computer program.

[0030] Other features and advantages will be described in the following description, and partly become apparent from the description, or understood by practicing the invention. The purpose and other advantages of the invention are realized and obtained by the structures particularly pointed out in the description and the drawings.

[0031] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.

[0033] Figure 1 It is a flow chart of a construction method that takes into account the risks of hanging basket construction;

[0034] Figure 2 It is a flow chart of a method for determining a parameter similarity coefficient between a hanging basket and a historical risk hanging basket;

[0035] Figure 3 is a flow chart of the method for determining that there is no safety risk in the hanging basket;

[0036] Figure 4 It is a flow chart of the method for determining the safety risk assessment and analysis cycle of the hanging basket. DETAILED DESCRIPTION

[0037] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that the present invention will be comprehensive and complete and fully convey the concepts of the example embodiments to those skilled in the art. The same reference numerals in the figures represent the same or similar structures, and thus their detailed description will be omitted.

[0038] The terms "a", "an", "the", and "said" are used to indicate the presence of one or more elements / components / etc.; the terms "comprising" and "having" are used to express an open-ended inclusive meaning and mean that additional elements / components / etc. may be present in addition to the listed elements / components / etc.

[0039] Example 1

[0040] To solve the above problems, according to one aspect of the present invention, Figure 1 As shown, according to one aspect of the present invention, a construction method considering the risks of hanging basket construction is provided, which specifically includes:

[0041] S1 obtains the own parameters and installation data of the hanging basket, and determines the parameter similarity coefficient between the hanging basket and the historical risk hanging basket based on the own parameters and installation data, and determines the similar hanging basket in the historical risk hanging basket based on the parameter similarity coefficient;

[0042] S2 takes the installation of the hanging basket as the starting time, determines the weather data of the hanging basket from the current time, and uses the similarity between the weather data and the weather data of similar hanging baskets and the parameter similarity coefficient to determine that the construction risk of the hanging basket meets the requirements, and then proceeds to the next step;

[0043] S3: using the hanging basket to perform bridge construction, and using a monitoring device to obtain in real time the change of the fixed state of the installation position of the hanging basket during the construction process, and determining the safety risk coefficient of the hanging basket based on the change of the fixed state. When it is determined by the safety risk coefficient that the hanging basket does not have a safety risk, proceed to the next step;

[0044] S4 obtains the number of construction workers using the hanging basket and weather data, and uses an AI model to determine the safety risk assessment and analysis cycle of the hanging basket in combination with the safety risk coefficient of the hanging basket and the construction risk.

[0045] Furthermore, the parameters of the hanging basket include the hanging basket structure, weight, type of steel used, and construction technology.

[0046] Specifically, the installation data of the hanging basket includes the number of installation positions and installation methods of the hanging basket.

[0047] It is understandable that the historical risk hanging baskets include hanging baskets where safety accidents have occurred during the construction process and hanging baskets with potential safety hazards.

[0048] Specifically, Figure 2 As shown, the method for determining the parameter similarity coefficient between the hanging basket and the historical risk hanging basket is:

[0049] Determine the similarity between the self parameters of the hanging basket and the historical risk hanging basket in different dimensions through the self parameters of the hanging basket, determine similar parameters using the similarity, and determine the basic parameter similarity coefficient between the hanging basket and the historical risk hanging basket through the proportion of the similar parameters in the self parameters;

[0050] Based on the installation data, determining the similarity between the installation methods of the hanging basket and the historical risk hanging basket, and determining the similarity coefficient of the installation data of the hanging basket and the historical risk hanging basket in combination with the deviation amount of the number of installation positions of the hanging basket and the historical risk hanging basket;

[0051] The parameter similarity coefficient between the hanging basket and the historical risk hanging basket is determined based on the installation data similarity coefficient and the basic parameter similarity coefficient.

[0052] It should be noted that the method for determining the similarity coefficient of the installation data is:

[0053] When the installation methods are inconsistent, it is determined that the similarity coefficient of the installation data between the hanging basket and the historical risk hanging basket is 0;

[0054] When the installation methods are consistent, the installation data similarity coefficient is determined according to a preset installation similarity coefficient corresponding to the deviation amount of the number of installation positions.

[0055] It can be understood that when the parameter similarity coefficient between the historical risk basket and the basket is greater than a preset similarity threshold, the historical risk basket is determined to be a similar basket.

[0056] It should also be noted that the method for determining the parameter similarity coefficient between the hanging basket and the historical risk hanging basket is:

[0057] S11 determines whether the installation method of the hanging basket is consistent with that of the historical risk hanging basket based on the installation data, if so, proceeds to the next step, if not, determines that the historical risk hanging basket does not belong to a similar hanging basket;

[0058] S12 obtains the number of installation positions of the hanging basket, and determines whether the deviation between the number of installation positions of the hanging basket and the historical risk hanging basket is greater than a preset number, if so, proceeds to the next step, if not, proceeds to step S15;

[0059] S13 determines the similarity between the self parameters of the hanging basket and the historical risk hanging basket in different dimensions through the self parameters of the hanging basket, and judges whether the similarity between the self parameters of the hanging basket and the historical risk hanging basket in different dimensions meets the requirements. If so, proceed to the next step; if not, determine that the historical risk hanging basket does not belong to the risk hanging basket;

[0060] S14 determines the number of similar parameters between the hanging basket and the historical risk hanging basket by using the similarity degree, and judges whether the number of similar parameters between the hanging basket and the historical risk hanging basket meets the requirement, if so, proceeds to the next step, if not, determines that the historical risk hanging basket does not belong to the risk hanging basket;

[0061] S15 determines the basic parameter similarity coefficient between the hanging basket and the historical risk hanging basket by the quantitative proportion of the similar parameters in the own parameters and the similarity between the own parameters in different dimensions, determines the installation data similarity coefficient between the hanging basket and the historical risk hanging basket by the deviation in the number of installation positions between the hanging basket and the historical risk hanging basket, and determines the parameter similarity coefficient between the hanging basket and the historical risk hanging basket based on the installation data similarity coefficient and the basic parameter similarity coefficient.

[0062] Furthermore, the weather data includes corresponding durations within different rainfall ranges and corresponding durations within different wind speed ranges.

[0063] It is understandable that determining whether the construction risk of the hanging basket meets the requirements specifically includes:

[0064] Determine the similarity of rainfall data and wind data by using the similarity between the weather data and the weather data of similar hanging baskets, and determine the similarity coefficient of the weather data with the similar hanging basket according to the similarity between the rainfall data and the wind data;

[0065] Determine similar construction times of weather data corresponding to different similar hanging baskets using the weather data similarity coefficient, and classify the similar hanging baskets into risk hanging baskets and safety hanging baskets according to whether there are construction risks at the similar construction times;

[0066] The comprehensive similarity coefficients of different risk baskets are determined by their weather data similarity coefficients and parameter similarity coefficients, the construction risks of the baskets are determined by the number of risk baskets and their comprehensive similarity coefficients, and the number of safety baskets and their comprehensive similarity coefficients, and whether the construction risks of the baskets meet the requirements is determined based on a preset risk threshold.

[0067] Furthermore, the construction risk of the hanging basket is determined by the number and comprehensive similarity coefficient of the risk hanging basket and the number and comprehensive similarity coefficient of the safety hanging basket, specifically including:

[0068] Determine the weight value of the risk basket and the weight value of the safety basket based on the comprehensive similarity coefficient of the risk basket and the comprehensive similarity coefficient of the safety basket;

[0069] The construction risk of the hanging basket is determined according to the ratio of the sum of the weight values ​​of the risk hanging basket and the sum of the weight values ​​of the safety hanging basket.

[0070] Specifically, when the construction risk of the hanging basket does not meet the requirements, the hanging basket is directly reinforced, and the hanging basket is not used for construction until the reinforcement is completed.

[0071] It should also be noted that the construction risk of the hanging basket is determined to meet the requirements, including:

[0072] S21 determines the similarity of rainfall data and wind data by using the similarity of the weather data and the weather data of similar hanging baskets, and determines the similarity coefficient of the weather data with the similar hanging basket according to the similarity of the rainfall data and the similarity of the wind data, and judges whether there is a similar hanging basket whose weather data similarity coefficient is greater than a preset similarity coefficient. If so, proceed to the next step; if not, determine that the construction risk of the hanging basket does not meet the requirements;

[0073] S22 determines similar construction times of weather data corresponding to different similar hanging baskets based on the weather data similarity coefficient, and determines whether there is a risk hanging basket among the similar hanging baskets according to whether there is a construction risk at the similar construction time. If yes, proceed to the next step; if no, proceed to step S25;

[0074] S23 determines whether the number of risk hanging baskets meets the requirement, if so, proceeds to the next step, if not, determines that the construction risk of the hanging baskets does not meet the requirement;

[0075] S24 determines the comprehensive similarity coefficients of different similar hanging baskets by using the weather data similarity coefficients and parameter similarity coefficients of different similar hanging baskets, determines the similarity coefficient evaluation amount of the risk hanging basket by using the number of the risk hanging baskets and the comprehensive similarity coefficient, and judges whether the similarity coefficient evaluation amount of the risk hanging basket meets the requirements. If so, proceeds to the next step; if not, determines that the construction risk of the hanging basket does not meet the requirements;

[0076] S25 uses similar hanging baskets with a comprehensive similarity coefficient greater than a preset similarity threshold as screened similar hanging baskets, and determines whether the proportion of risk hanging baskets in the screened similar hanging baskets meets the requirements. If so, proceed to the next step; if not, it is determined that the construction risk of the hanging basket does not meet the requirements;

[0077] S26 determines the construction risk of the hanging basket through the number and comprehensive similarity coefficient of the risk hanging basket, the number and comprehensive similarity coefficient of the safety hanging basket, and determines whether the construction risk of the hanging basket meets the requirements based on a preset risk threshold.

[0078] Furthermore, the change of the fixed state of the installation position is determined according to the analysis result of the monitoring image of the installation position, and specifically determined according to the image change of the image frame of the monitoring image corresponding to the installation position.

[0079] Specifically, Figure 3 As shown, determining that the hanging basket does not have a safety risk specifically includes:

[0080] Determine the fixed states of different fixed positions of the hanging basket at different times based on the fixed state change situation, determine the fixed positions with worse fixed states based on the fixed states at different times, and use them as risky fixed positions;

[0081] Determine the change amount and change rate of the fixed state by using the change of the fixed state of the risk fixed position, and determine the risk change coefficient of different risk fixed positions by using the change amount and change rate;

[0082] Determine the quantity ratio of risk fixed positions in different fixed areas of the hanging basket based on the distribution of different risk fixed positions, and determine the regional safety risk coefficient of different fixed areas based on the quantity ratio and the risk variation coefficient of different risk fixed positions;

[0083] The safety risk coefficient of the hanging basket is determined by the regional safety risk coefficients of different fixed areas, and whether the hanging basket has a safety risk is determined by the safety risk coefficient.

[0084] It can be understood that when the safety risk coefficient of the hanging basket is less than the preset risk coefficient, it is determined that the hanging basket has a safety risk.

[0085] Furthermore, when there is a safety risk in the hanging basket, a preset analysis period is used to determine an assessment and analysis period for the safety risk of the hanging basket.

[0086] It should be noted that determining that the hanging basket does not pose a safety risk specifically includes:

[0087] S31 determines the fixed states of different fixed positions of the hanging basket at different times based on the fixed state change situation, and determines whether there is a fixed position whose fixed state deteriorates based on the fixed states at different times, and if so, proceeds to the next step; if not, determines that there is no safety risk for the hanging basket, and determines the safety risk of the hanging basket using the preset safety risk;

[0088] S32: taking the fixed positions whose fixed state deteriorates as risky fixed positions, and judging whether the number of risky fixed positions meets the requirement, if so, proceeding to the next step, if not, determining that the hanging basket has a safety risk;

[0089] S33 determines the change amount and change rate of the fixed state by using the change of the fixed state of the risk fixed position, and determines the risk change coefficient of different risk fixed positions by using the change amount and change rate, and judges whether there is a risk fixed position whose risk change coefficient does not meet the requirements, if yes, proceeds to the next step, if not, proceeds to step S36;

[0090] S34 determines whether the number of risk fixed positions where the risk variation coefficient does not meet the requirement meets the requirement, if so, proceeds to the next step, if not, determines that the hanging basket has a safety risk;

[0091] S35 determines the number ratio of risk fixed positions in different fixed areas of the hanging basket based on the distribution of different risk fixed positions, and determines the regional safety risk coefficients of different fixed areas based on the number ratio and the risk variation coefficients of different risk fixed positions, and judges whether there is a fixed area whose regional safety risk coefficient does not meet the requirements. If so, proceed to the next step; if not, it is determined that the hanging basket has a safety risk;

[0092] S36 determines the safety risk coefficient of the hanging basket through the regional safety risk coefficients of different fixed areas, and determines whether the hanging basket has a safety risk through the safety risk coefficient.

[0093] Specifically, Figure 4 As shown, the method for determining the safety risk assessment and analysis cycle of the hanging basket is:

[0094] Based on the safety risk coefficient of the hanging basket and the construction risk, a comprehensive risk coefficient of the hanging basket is determined, and a basic risk period of the safety risk of the hanging basket is determined using the comprehensive risk coefficient;

[0095] Determining the wind speed of the hanging basket by using the weather data, and determining the environmental risk factor of the hanging basket based on the wind speed;

[0096] According to the environmental risk factors of the hanging basket and the number of the construction workers, the AI ​​model is used to determine the real-time risk analysis cycle of the hanging basket, and the safety risk assessment and analysis cycle of the hanging basket is determined through the real-time risk analysis cycle and the basic risk cycle.

[0097] Example 2

[0098] In a second aspect, the present invention provides a computer system comprising: a memory and a processor that are communicatively connected, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-mentioned construction method that takes into account the risks of hanging basket construction when running the computer program.

[0099] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0100] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0101] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A computer system comprising: A memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein when the processor runs the computer program, a construction method considering the risks of hanging basket construction is executed, specifically comprising: Acquire the own parameters and installation data of the hanging basket, and determine the parameter similarity coefficient between the hanging basket and the historical risk hanging basket based on the own parameters and installation data, and determine the similar hanging basket in the historical risk hanging basket based on the parameter similarity coefficient; Taking the installation of the hanging basket as the starting time, determining the weather data of the hanging basket from the current time, and using the similarity between the weather data and the weather data of similar hanging baskets and the parameter similarity coefficient to determine that the construction risk of the hanging basket meets the requirements, proceed to the next step; The hanging basket is used to perform bridge construction, and a monitoring device is used to obtain in real time the change of the fixed state of the installation position of the hanging basket during the construction process, and a safety risk coefficient of the hanging basket is determined based on the change of the fixed state. When it is determined by the safety risk coefficient that the hanging basket does not have a safety risk, the next step is entered; Obtain the number of construction workers using the hanging basket and weather data, and determine the safety risk assessment and analysis cycle of the hanging basket using an AI model in combination with the safety risk coefficient of the hanging basket and the construction risk; The method for determining the parameter similarity coefficient between the hanging basket and the historical risk hanging basket is: Determine the similarity between the self parameters of the hanging basket and the historical risk hanging basket in different dimensions through the self parameters of the hanging basket, determine similar parameters using the similarity, and determine the basic parameter similarity coefficient between the hanging basket and the historical risk hanging basket through the proportion of the similar parameters in the self parameters; Based on the installation data, determining the similarity between the installation methods of the hanging basket and the historical risk hanging basket, and determining the similarity coefficient of the installation data of the hanging basket and the historical risk hanging basket in combination with the deviation amount of the number of installation positions of the hanging basket and the historical risk hanging basket; Determine a parameter similarity coefficient between the hanging basket and the historical risk hanging basket based on the installation data similarity coefficient and the basic parameter similarity coefficient; Determine that the hanging basket does not pose a safety risk, including: Determine the fixed states of different fixed positions of the hanging basket at different times based on the fixed state change situation, determine the fixed positions with worse fixed states based on the fixed states at different times, and use them as risky fixed positions; Determine the change amount and change rate of the fixed state by using the change of the fixed state of the risk fixed position, and determine the risk change coefficient of different risk fixed positions by using the change amount and change rate; Determine the quantity ratio of risk fixed positions in different fixed areas of the hanging basket based on the distribution of different risk fixed positions, and determine the regional safety risk coefficient of different fixed areas based on the quantity ratio and the risk variation coefficient of different risk fixed positions; The safety risk coefficient of the hanging basket is determined by the regional safety risk coefficients of different fixed areas, and whether the hanging basket has a safety risk is determined by the safety risk coefficient.

2. The computer system according to claim 1, wherein: The parameters of the hanging basket include the hanging basket structure, weight, type of steel used, and construction technology.

3. The computer system according to claim 1, wherein: The installation data of the hanging basket includes the number of installation positions and installation methods of the hanging basket.

4. The computer system according to claim 1, wherein: The historical risk hanging baskets include hanging baskets where safety accidents have occurred during the construction process and hanging baskets with potential safety hazards.

5. The computer system according to claim 1, wherein: The method for determining the similarity coefficient of the installation data is: When the installation methods are inconsistent, it is determined that the similarity coefficient of the installation data between the hanging basket and the historical risk hanging basket is 0; When the installation methods are consistent, the installation data similarity coefficient is determined according to a preset installation similarity coefficient corresponding to the deviation amount of the number of installation positions.

6. The computer system according to claim 1, wherein: When the parameter similarity coefficient between the historical risk basket and the basket is greater than a preset similarity threshold, the historical risk basket is determined to be a similar basket.

7. The computer system according to claim 1, wherein: Determine that the construction risk of the hanging basket meets the requirements, including: Determine the similarity of rainfall data and wind data by using the similarity between the weather data and the weather data of similar hanging baskets, and determine the similarity coefficient of the weather data with the similar hanging basket according to the similarity between the rainfall data and the wind data; Determine similar construction times of weather data corresponding to different similar hanging baskets using the weather data similarity coefficient, and classify the similar hanging baskets into risk hanging baskets and safety hanging baskets according to whether there are construction risks at the similar construction times; The comprehensive similarity coefficients of different risk baskets are determined by their weather data similarity coefficients and parameter similarity coefficients, the construction risks of the baskets are determined by the number of risk baskets and their comprehensive similarity coefficients, and the number of safety baskets and their comprehensive similarity coefficients, and whether the construction risks of the baskets meet the requirements is determined based on a preset risk threshold.

8. The computer system according to claim 1, wherein: The method for determining the safety risk assessment and analysis cycle of the hanging basket is: Based on the safety risk coefficient of the hanging basket and the construction risk, a comprehensive risk coefficient of the hanging basket is determined, and a basic risk period of the safety risk of the hanging basket is determined using the comprehensive risk coefficient; Determining the wind speed of the hanging basket by using the weather data, and determining the environmental risk factor of the hanging basket based on the wind speed; According to the environmental risk factors of the hanging basket and the number of the construction workers, the AI ​​model is used to determine the real-time risk analysis cycle of the hanging basket, and the safety risk assessment and analysis cycle of the hanging basket is determined through the real-time risk analysis cycle and the basic risk cycle.

Images