Pulling force monitoring method and its application in tower crane working pre-warning

Abstract

The application discloses a pulling force monitoring method and application thereof in tower crane working early warning, the scheme is ingenious, the pulling force between the bottom of the fuselage of the tower crane and the base is monitored, meanwhile, the attitude information, the vibration information of the fuselage of the tower crane and the wind speed information of the external environment are monitored, when the stress data is judged to be abnormal, early warning information or warning information is generated, the stress information, the wind speed information, the vibration information and the attitude monitoring data are associated and output, so that the background management personnel can quickly check and judge the factors causing the stress abnormality, on the basis, the scheme further judges the correlation of the stress information, the wind speed information and the vibration information, and predicts or warns the stress abnormality through the correlation judgment, and the working safety and reliability of the tower crane are improved.

Description

Technical Field

[0001] This invention relates to the field of crane operation monitoring technology, and in particular to a method for monitoring upward pulling force and its application in early warning of tower crane operation. Background Technology

[0002] Tower cranes, as crucial tools for transporting heavy objects within work areas, often require their base or other connectors to securely connect to the work site during installation. Due to their large span, tower cranes are susceptible to upward force generated between the lower part of the tower and the base when subjected to external wind, operational vibrations, changes in counterweight during lifting, and positional shifts in the crane boom. This upward force is a significant stress that can cause the crane to overturn. Monitoring it and providing timely warnings are essential for ensuring the safe operation of tower cranes. However, current technical literature on this topic is relatively scarce. Therefore, improving the reliability and flexibility of upward force monitoring for tower cranes, and providing timely safety feedback for their operation, are research topics of significant practical importance. Summary of the Invention

[0003] In view of this, the purpose of this invention is to propose a reliable, flexible and efficient method for monitoring upward pulling force and its application in early warning of tower crane operation.

[0004] To achieve the above-mentioned technical objectives, the technical solution adopted by this invention is as follows:

[0005] A method for monitoring uplift force is applied to a tower crane. The tower crane is mounted on the ground of the work site via a base, the lower part of which is pre-buried underground. The bottom of the tower crane body is fixedly connected to the upper end of the base. At least one stress sensor is arranged in a circular array between the bottom of the tower crane body and the upper end of the base. The stress sensor is used to sense the force between the bottom of the tower crane body and the base. A wind speed sensor is provided on the upper part of the tower crane body for sensing wind speed, and a vibration sensor is provided in the middle of the tower crane body. The monitoring method includes:

[0006] S01. Real-time acquisition of the sensing feedback signals from the stress sensor, the wind speed sensor, and the vibration sensor, and generation of stress information, wind speed information, and vibration information respectively;

[0007] S02. Obtain the attitude information of the tower crane according to preset conditions and generate attitude monitoring data;

[0008] S03. Obtain stress information, compare the stress data it contains with a preset threshold, and generate a comparison result;

[0009] S04. Obtain the comparison results. When the stress data is greater than the preset threshold, generate early warning information or warning information, and associate the stress information, wind speed information, vibration information and attitude monitoring data with the early warning signal or warning information and output them.

[0010] As a possible implementation, further, in this solution S01, the number of the stress sensor, the wind speed sensor and the vibration sensor is at least one, and each of them has a unique ID value; when generating stress information, wind speed information and vibration information, each of them is associated with the ID of the corresponding stress sensor, the wind speed sensor or the vibration sensor.

[0011] As one possible implementation, further, solution S02 includes:

[0012] S021. Monitor the startup status of the tower crane in real time and generate startup information;

[0013] S022. Obtain startup information.

[0014] When the tower crane is not started, the attitude information of the tower crane is acquired at the first preset frequency.

[0015] When the tower crane is in the starting position, the attitude information of the tower crane is acquired at the second preset frequency.

[0016] After acquiring the attitude information of the tower crane, attitude monitoring data is generated.

[0017] The first preset frequency is less than the second preset frequency.

[0018] As one possible implementation, further, in this solution S03, the preset threshold includes: a warning threshold and a warning threshold, wherein the warning threshold is less than the warning threshold;

[0019] When stress data is compared with a preset threshold,

[0020] If the stress data is less than the warning threshold, normal stress information is generated as a comparison result.

[0021] If the stress data is greater than the warning threshold but less than the alert threshold, a warning message is generated as a comparison result.

[0022] If the stress data exceeds the warning threshold, a warning message is generated as a comparison result.

[0023] As a preferred implementation method, preferably, solution S022 further includes:

[0024] When the tower crane is in operation, the system also records the working parameters of the tower crane, the position of the boom, the trolley, the hook, and the load on the hook in real time, generating crane operation monitoring information.

[0025] In S04, when the comparison result shows that the stress data is greater than the preset threshold, the crane operation monitoring information will also be associated with the early warning signal or warning information and output.

[0026] Based on the above, the present invention also provides a tower crane operation early warning method, which includes the above-described upward force monitoring method; it further includes:

[0027] A01. Respond to the start signal of the tower crane, record the operation commands of the tower crane in real time, and generate command monitoring records;

[0028] A02. Real-time acquisition of stress information, wind speed information, and vibration information; extraction of stress data, wind speed data, and vibration data that are in the same preset time period and of the same quantity; and then judgment of the correlation between wind speed data, vibration data, and stress data to generate judgment results.

[0029] A03. Based on the judgment result, obtain the correlation relationship between stress information, wind speed information, and vibration information within the corresponding preset time period, generate correlation information, and associate the command monitoring records within the preset time period with the correlation information.

[0030] A04. In response to the output of early warning or warning information, the relevant information, instruction monitoring records, stress information, wind speed information, and vibration information within the corresponding preset time period are packaged into a data monitoring set and then output.

[0031] As a preferred implementation method, in this scheme A03, the correlation between wind speed data, vibration data and stress data is determined by Pearson correlation coefficient, Spearman rank correlation coefficient, scatter plot analysis and regression analysis.

[0032] As a preferred implementation method, in solution A03, when determining the correlation between wind speed data, vibration data, and stress data using the Pearson correlation coefficient, the formula is as follows:

[0033]

[0034] Where r is the correlation coefficient, x i It is wind speed or vibration data at a specific point in time within a preset time period, y iIt is the stress data at a certain point in time within a preset time period, x i With y i All data were generated at the same time point or when the time difference was less than a preset value. It is the average of wind speed or vibration data within a preset time period. It is the average value of stress data within a preset time period. Furthermore, the closer r is to 1 or -1, the stronger x becomes. i With y i The stronger the correlation;

[0035] When using regression analysis to determine the correlation between wind speed data, vibration data, and stress data, the formula is as follows:

[0036] Y=β0+β1X+∈

[0037] Where Y is stress data, which is set as the dependent variable, X is wind speed data or vibration data, which is the independent variable, β1 and β0 are regression coefficients, and ∈ is the error term;

[0038] In addition, the formulas for calculating the regression coefficients β1 and β0 are as follows:

[0039]

[0040]

[0041] in, It is the average of wind speed or vibration data within a preset time period. It is the mean of stress data within a preset time period, and n is the number of sample data;

[0042] The error term ∈ represents the difference between the actual observed value and the predicted value of the regression line. For each actual observed value, the error term ∈ can be calculated as follows:

[0043] ∈ i =y i -(β0+β1x i )

[0044] Where, x i With y i All data were generated at the same time point or when the time difference was less than a preset value.

[0045] Based on the above, the present invention also provides a tower crane operation early warning system, which includes:

[0046] Multiple stress sensors are arranged in a ring array between the bottom of the tower crane body and the upper end of the base. The stress sensors are used to sense the force between the bottom of the tower crane body and the base.

[0047] At least one wind speed sensor is installed on the upper part of the tower crane body;

[0048] Vibration sensor, at least one, is installed in the middle of the tower crane's body;

[0049] The data acquisition unit is used to acquire the sensing feedback signals of the stress sensor, the wind speed sensor and the vibration sensor in real time, and generate stress information, wind speed information and vibration information respectively;

[0050] The crane monitoring unit is used to acquire the attitude information of the tower crane according to preset conditions, generate attitude monitoring data, respond to the start signal of the tower crane, record the action operation commands of the tower crane in real time, and generate command monitoring records.

[0051] The data judgment unit is used to acquire stress information, compare the stress data it contains with a preset threshold, and generate a comparison result.

[0052] The correlation judgment unit is used to acquire stress information, wind speed information, and vibration information in real time, extract stress data, wind speed data, and vibration data that are in the same preset time period and have the same quantity, and then judge the correlation between the wind speed data and vibration data and the stress data respectively to generate a judgment result; it is also used to obtain the correlation relationship between stress information and wind speed information and vibration information within the corresponding preset time period based on the judgment result, generate correlation information, and associate the command monitoring records within the preset time period with the correlation information.

[0053] The information generation unit is used to obtain comparison results. When the comparison result is that the stress data is greater than a preset threshold, it generates early warning information or warning information, and associates the stress information, wind speed information, vibration information and attitude monitoring data with the early warning signal or warning information and outputs them. It is also used to respond to the output of early warning information or warning information by packaging the correlation information, instruction monitoring records and stress information, wind speed information and vibration information within the corresponding preset time period into a data monitoring set, and then outputting it.

[0054] Based on the above, the present invention also provides a computer-readable storage medium storing at least one instruction, at least one program, code set, or instruction set, wherein the at least one instruction, at least one program, code set, or instruction set is loaded and executed by a processor to implement the uplift force monitoring method or the tower crane operation early warning method described above.

[0055] By adopting the above technical solution, the present invention has the following beneficial effects compared with the prior art: The ingenuity of this solution lies in monitoring the upward force between the bottom of the tower crane's body and the base, while simultaneously monitoring the tower crane's posture and vibration information, as well as the wind speed information of the external environment. When an anomaly is detected in the stress data, early warning or warning information is generated. Furthermore, the stress information, wind speed information, vibration information, and posture monitoring data are correlated and output, enabling back-end management personnel to quickly investigate and determine the factors causing the stress anomaly. On this basis, the present solution further improves the operational safety and reliability of the tower crane by judging the correlation between stress information, wind speed information, and vibration information, thereby predicting or issuing early warnings for stress anomalies. Attached Figure Description

[0056] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0057] Figure 1 This is a simplified schematic diagram of the tower crane in the work area according to this plan;

[0058] Figure 2 This is a simplified implementation flowchart of the pull-out force monitoring method in this scheme;

[0059] Figure 3 This is a simplified implementation flowchart of the early warning method in this scheme;

[0060] Figure 4 This is a schematic diagram of the unit module connections of this system. Detailed Implementation

[0061] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be particularly noted that the following embodiments are for illustrative purposes only and do not limit the scope of the invention. Similarly, the following embodiments are only some, not all, embodiments of the present invention, and all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0062] like Figure 1 or Figure 2As shown in the figure, this embodiment provides a method for monitoring upward force, applied to a tower crane 1. The bottom of the tower crane 1 is installed on the ground of the work site via a base 2. The lower part of the base 2 is pre-buried underground in the work site. The bottom of the body 11 of the tower crane 1 is fixedly connected to the upper end of the base 2. At least one stress sensor 3 is arranged in a circular array between the bottom of the body 11 of the tower crane 1 and the upper end of the base 2. The stress sensor 3 is used to sense the force between the bottom of the body 11 of the tower crane 1 and the base 2. A wind speed sensor 5 is provided on the upper part of the body 1 of the tower crane 1 for sensing wind speed. A vibration sensor 4 is provided in the middle of the body 11 of the tower crane 1. The monitoring method includes:

[0063] S01. Real-time acquisition of the sensing feedback signals from the stress sensor 3, the wind speed sensor 5, and the vibration sensor 4, and generation of stress information, wind speed information, and vibration information respectively;

[0064] S02. Obtain the attitude information of the tower crane according to preset conditions and generate attitude monitoring data, wherein the status information includes the location of the tower crane 12 and the transported object 13.

[0065] S03. Obtain stress information, compare the stress data it contains with a preset threshold, and generate a comparison result;

[0066] S04. Obtain the comparison results. When the stress data is greater than the preset threshold, generate early warning information or warning information, and associate the stress information, wind speed information, vibration information and attitude monitoring data with the early warning signal or warning information and output them.

[0067] In order to improve the reliability of data acquisition, as a possible implementation method, in this solution S01, the number of stress sensors, wind speed sensors and vibration sensors is at least one, and each of them has a unique ID value; when generating stress information, wind speed information and vibration information, each of them is associated with the ID of the corresponding stress sensor, wind speed sensor or vibration sensor.

[0068] In addition, as a possible implementation, solution S02 further includes:

[0069] S021. Monitor the startup status of the tower crane in real time and generate startup information;

[0070] S022. Obtain startup information.

[0071] When the tower crane is not started, the attitude information of the tower crane is acquired at the first preset frequency.

[0072] When the tower crane is in the starting position, the attitude information of the tower crane is acquired at the second preset frequency.

[0073] After acquiring the attitude information of the tower crane, attitude monitoring data is generated.

[0074] The first preset frequency is less than the second preset frequency.

[0075] Since tower cranes remain in the working area whether they are in operation or not, they are always subject to wind vibrations, which cause upward force between the base and the crane body. When the tower crane is working, the position and rotation speed of the boom, as well as the speed and height of the trolley carrying the transported object 13, are also important factors in generating upward force. Therefore, it is necessary to monitor tower cranes around the clock.

[0076] In order to improve the timeliness and foresight of monitoring and early warning, based on the above, as a possible implementation method, in this solution S03, the preset threshold includes: an early warning threshold and a warning threshold, wherein the early warning threshold is less than the warning threshold;

[0077] When stress data is compared with a preset threshold,

[0078] If the stress data is less than the warning threshold, normal stress information is generated as a comparison result.

[0079] If the stress data is greater than the warning threshold but less than the alert threshold, a warning message is generated as a comparison result.

[0080] If the stress data exceeds the warning threshold, a warning message is generated as a comparison result.

[0081] As a preferred implementation method, preferably, solution S022 further includes:

[0082] When the tower crane is in operation, the system also records the working parameters of the tower crane, the position of the boom, the trolley, the hook, and the load on the hook in real time, generating crane operation monitoring information.

[0083] In S04, when the comparison result shows that the stress data is greater than the preset threshold, the crane operation monitoring information will also be associated with the early warning signal or warning information and output.

[0084] Based on the above, further combining Figure 3 As shown, this embodiment also provides a tower crane operation early warning method, which includes the above-described upward force monitoring method; it also includes:

[0085] A01. Respond to the start signal of the tower crane, record the operation commands of the tower crane in real time, and generate command monitoring records;

[0086] A02. Real-time acquisition of stress information, wind speed information, and vibration information; extraction of stress data, wind speed data, and vibration data that are in the same preset time period and of the same quantity; and then judgment of the correlation between wind speed data, vibration data, and stress data to generate judgment results.

[0087] A03. Based on the judgment result, obtain the correlation relationship between stress information, wind speed information, and vibration information within the corresponding preset time period, generate correlation information, and associate the command monitoring records within the preset time period with the correlation information.

[0088] A04. In response to the output of early warning or warning information, the relevant information, instruction monitoring records, stress information, wind speed information, and vibration information within the corresponding preset time period are packaged into a data monitoring set and then output.

[0089] In one preferred embodiment, Scheme A03 uses Pearson correlation coefficient, Spearman rank correlation coefficient, scatter plot analysis, and regression analysis to determine the correlation between wind speed data, vibration data, and stress data.

[0090] In addition, as a preferred implementation method, in solution A03, when determining the correlation between wind speed data, vibration data, and stress data using the Pearson correlation coefficient, the formula is as follows:

[0091]

[0092] Where r is the correlation coefficient, x i It is wind speed or vibration data at a specific point in time within a preset time period, y i It is the stress data at a certain point in time within a preset time period, x i With y i All data were generated at the same time point or when the time difference was less than a preset value. It is the average of wind speed or vibration data within a preset time period. It is the average value of stress data within a preset time period. Furthermore, the closer r is to 1 or -1, the stronger x becomes. i With y i The stronger the correlation;

[0093] When using regression analysis to determine the correlation between wind speed data, vibration data, and stress data, the formula is as follows:

[0094] Y=β0+β1X+∈

[0095] Where Y is stress data, which is set as the dependent variable, X is wind speed data or vibration data, which is the independent variable, β1 and β0 are regression coefficients, and ∈ is the error term;

[0096] In addition, the formulas for calculating the regression coefficients β1 and β0 are as follows:

[0097]

[0098]

[0099] in, It is the average of wind speed or vibration data within a preset time period. It is the mean of stress data within a preset time period, and n is the number of sample data;

[0100] The error term ∈ represents the difference between the actual observed value and the predicted value of the regression line. For each actual observed value, the error term ∈ can be calculated as follows:

[0101] ∈ i =y i -(β0+β1x i )

[0102] Where, x i With y i All data were generated at the same time point or when the time difference was less than a preset value.

[0103] Based on the above, this solution can also obtain correlation information and establish a two-dimensional coordinate graph with time as the X-axis and wind speed or vibration information as the Y-axis based on the correlation between stress information and one of the wind speed or vibration information. Then, a trend line is drawn based on this graph, and the wind speed or vibration data at a preset time point is predicted based on the trend line. The predicted wind speed or vibration data is then reused to predict stress data. That is, the predicted wind speed or vibration data is back-introduced into the correlation mathematical model to predict stress data, thereby achieving more timely and efficient stress anomaly prediction, allowing tower crane operators to better intervene and avoid tower crane accidents.

[0104] Combination Figure 4 As shown, based on the above, this embodiment also provides a tower crane operation early warning system, which includes:

[0105] Multiple stress sensors are arranged in a ring array between the bottom of the tower crane body and the upper end of the base. The stress sensors are used to sense the force between the bottom of the tower crane body and the base.

[0106] At least one wind speed sensor is installed on the upper part of the tower crane body;

[0107] Vibration sensor, at least one, is installed in the middle of the tower crane's body;

[0108] The data acquisition unit is used to acquire the sensing feedback signals of the stress sensor, the wind speed sensor and the vibration sensor in real time, and generate stress information, wind speed information and vibration information respectively;

[0109] The crane monitoring unit is used to acquire the attitude information of the tower crane according to preset conditions, generate attitude monitoring data, respond to the start signal of the tower crane, record the action operation commands of the tower crane in real time, and generate command monitoring records.

[0110] The data judgment unit is used to acquire stress information, compare the stress data it contains with a preset threshold, and generate a comparison result.

[0111] The correlation judgment unit is used to acquire stress information, wind speed information, and vibration information in real time, extract stress data, wind speed data, and vibration data that are in the same preset time period and have the same quantity, and then judge the correlation between the wind speed data and vibration data and the stress data respectively to generate a judgment result; it is also used to obtain the correlation relationship between stress information and wind speed information and vibration information within the corresponding preset time period based on the judgment result, generate correlation information, and associate the command monitoring records within the preset time period with the correlation information.

[0112] The information generation unit is used to obtain comparison results. When the comparison result is that the stress data is greater than a preset threshold, it generates early warning information or warning information, and associates the stress information, wind speed information, vibration information and attitude monitoring data with the early warning signal or warning information and outputs them. It is also used to respond to the output of early warning information or warning information by packaging the correlation information, instruction monitoring records and stress information, wind speed information and vibration information within the corresponding preset time period into a data monitoring set, and then outputting it.

[0113] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0114] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute all or part of the steps of the methods of various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0115] The above description is only a part of the embodiments of the present invention and does not limit the scope of protection of the present invention. Any equivalent device or equivalent process transformation made based on the content of the present invention specification and drawings, or direct or indirect application in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A method for monitoring uplift force, applied to a tower crane, wherein the bottom of the tower crane is installed on the ground of the work site via a base, the lower part of the base is pre-buried underground in the work site, the bottom of the tower crane body is fixedly connected to the upper end of the base, and at least one stress sensor is arranged in a circular array between the bottom of the tower crane body and the upper end of the base, the stress sensor being used to sense the force between the bottom of the tower crane body and the base; a wind speed sensor for sensing wind speed is provided on the upper part of the tower crane body, and a vibration sensor is provided in the middle of the tower crane body, characterized in that... The monitoring method includes: S01. Real-time acquisition of the sensing feedback signals from the stress sensor, the wind speed sensor, and the vibration sensor, and generation of stress information, wind speed information, and vibration information respectively; S02. Obtain the attitude information of the tower crane according to preset conditions and generate attitude monitoring data; S03. Obtain stress information, compare the stress data it contains with a preset threshold, and generate a comparison result; S04. Obtain the comparison results. When the stress data is greater than the preset threshold, generate early warning information or warning information, and associate and output the stress information, wind speed information, vibration information and attitude monitoring data with the early warning signal or warning information. S02 includes: S021. Monitor the startup status of the tower crane in real time and generate startup information; S022. Obtain startup information. When the tower crane is not started, the attitude information of the tower crane is acquired at the first preset frequency. When the tower crane is in the starting position, the attitude information of the tower crane is acquired at the second preset frequency. After acquiring the attitude information of the tower crane, attitude monitoring data is generated. The first preset frequency is less than the second preset frequency.

2. The method for monitoring upward pull-out force as described in claim 1, characterized in that, In S01, the number of stress sensors, wind speed sensors and vibration sensors is at least one, and each of them has a unique ID value; when generating stress information, wind speed information and vibration information, each of them is associated with the ID of the corresponding stress sensor, wind speed sensor or vibration sensor.

3. The method for monitoring upward pull-out force as described in claim 1, characterized in that, In S03, the preset threshold includes: a warning threshold and a warning threshold, wherein the warning threshold is less than the warning threshold; When stress data is compared with a preset threshold, If the stress data is less than the warning threshold, normal stress information is generated as a comparison result. If the stress data is greater than the warning threshold but less than the alert threshold, a warning message is generated as a comparison result. If the stress data exceeds the warning threshold, a warning message is generated as a comparison result.

4. The method for monitoring upward pull-out force as described in claim 1, characterized in that, S022 also includes: When the tower crane is in operation, the system also records the working parameters of the tower crane, the position of the boom, the trolley, the hook, and the load on the hook in real time, generating crane operation monitoring information. In S04, when the comparison result shows that the stress data is greater than the preset threshold, the crane operation monitoring information will also be associated with the early warning signal or warning information and output.

5. A method for early warning of tower crane operation, characterized in that, It includes the upward force monitoring method as described in any one of claims 1 to 4; It also includes: A01. Respond to the start signal of the tower crane, record the operation commands of the tower crane in real time, and generate command monitoring records; A02. Real-time acquisition of stress information, wind speed information, and vibration information; extraction of stress data, wind speed data, and vibration data that are in the same preset time period and of the same quantity; and then judgment of the correlation between wind speed data, vibration data, and stress data to generate judgment results. A03. Based on the judgment result, obtain the correlation relationship between stress information, wind speed information, and vibration information within the corresponding preset time period, generate correlation information, and associate the command monitoring records within the preset time period with the correlation information. A04. In response to the output of early warning or warning information, the relevant information, instruction monitoring records, stress information, wind speed information, and vibration information within the corresponding preset time period are packaged into a data monitoring set and then output.

6. The tower crane operation early warning method as described in claim 5, characterized in that, In A03, the correlation between wind speed data, vibration data and stress data is determined by Pearson correlation coefficient, Spearman rank correlation coefficient, scatter plot analysis and regression analysis.

7. The tower crane operation early warning method as described in claim 6, characterized in that, In A03, when using the Pearson correlation coefficient to determine the correlation between wind speed data, vibration data, and stress data, the formula is as follows: Where r is the correlation coefficient. It is wind speed or vibration data at a specific point in time within a preset time period. It is stress data at a certain point in time within a preset time period. and All data were generated at the same time point or when the time difference was less than a preset value. It is the average of wind speed or vibration data within a preset time period. It is the average value of stress data within a preset time period. Additionally, when... The closer it is to 1 or -1, the better. and The stronger the correlation; When using regression analysis to determine the correlation between wind speed data, vibration data, and stress data, the formula is as follows: in, The stress data is set as the dependent variable. The data is either wind speed or vibration data, which is the independent variable. , All are regression coefficients. This is the error term; In addition, regression coefficients , The calculation formula is as follows: in, It is the average of wind speed or vibration data within a preset time period. It is the average value of stress data within a preset time period. The number of sample data; Error term The error term represents the difference between the actual observed value and the predicted value of the regression line. For each actual observed value, the corresponding error term is... It can be calculated as follows: in, and All data were generated at the same time point or when the time difference was less than a preset value.

8. A tower crane operation early warning system, which applies the tower crane operation early warning method according to any one of claims 5 to 7, characterized in that, It includes: Multiple stress sensors are arranged in a ring array between the bottom of the tower crane body and the upper end of the base. The stress sensors are used to sense the force between the bottom of the tower crane body and the base. At least one wind speed sensor is installed on the upper part of the tower crane body; Vibration sensors, at least one, are installed in the middle of the tower crane's body; The data acquisition unit is used to acquire the sensing feedback signals of the stress sensor, the wind speed sensor and the vibration sensor in real time, and generate stress information, wind speed information and vibration information respectively; The crane monitoring unit is used to acquire the attitude information of the tower crane according to preset conditions, generate attitude monitoring data, respond to the start signal of the tower crane, record the action operation commands of the tower crane in real time, and generate command monitoring records. The data judgment unit is used to acquire stress information, compare the stress data it contains with a preset threshold, and generate a comparison result. The correlation judgment unit is used to acquire stress information, wind speed information, and vibration information in real time, extract stress data, wind speed data, and vibration data that are in the same preset time period and have the same quantity, and then judge the correlation between the wind speed data and vibration data and the stress data respectively to generate a judgment result; it is also used to obtain the correlation relationship between stress information and wind speed information and vibration information within the corresponding preset time period based on the judgment result, generate correlation information, and associate the command monitoring records within the preset time period with the correlation information. The information generation unit is used to obtain comparison results. When the comparison result is that the stress data is greater than the preset threshold, it generates early warning information or warning information, and associates the stress information, wind speed information, vibration information and attitude monitoring data with the early warning signal or warning information and outputs them. It is also used to respond to the output of early warning or warning information, and to package the relevant information, instruction monitoring records, stress information, wind speed information, and vibration information within the corresponding preset time period into a data monitoring set, and then output it.

9. A computer-readable storage medium storing at least one instruction, at least one program, code set, or instruction set, wherein the at least one instruction, at least one program, code set, or instruction set is loaded and executed by a processor to implement the uplift force monitoring method as described in any one of claims 1 to 4 or the tower crane operation early warning method as described in any one of claims 5 to 7.

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