High-place operation safety belt data transmission system and method based on wireless communication

Abstract

The invention discloses a high-altitude operation safety belt data transmission system and method based on wireless communication, and relates to the technical field of monitoring data communication, and the system comprises a high-altitude operation data collection module, a data correction training module, a safety belt use monitoring module and an abnormal data communication module. The high-altitude operation data acquisition module is used for acquiring high-altitude operation historical data, and the data correction training module is used for correcting operator behavior data and safety belt use data, combining the corrected data into sample data, training the sample data and then generating a safety belt use safety dynamic analysis model. The safety belt use monitoring module is used for planning safety belt use safety judgment standards, monitoring safety belt use conditions and judging whether safety belt use is abnormal or not according to the judgment standards, and the abnormal data communication module is used for transmitting abnormal early warning data through the wireless communication technology. The dynamic self-adaptive monitoring of the use safety of the safety belt in different operation scenes is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of monitoring data communication technology, in particular to a high-altitude operation safety belt data transmission system and method based on wireless communication. BACKGROUND

[0002] The high-altitude operation safety belt is mainly used in high-altitude operation scenes such as construction, power and telecommunications. The personnel performing high-altitude operation will wear safety belts. The high-altitude operation safety belt can protect the safety of the operation personnel through the anti-falling function. When using the safety belt for high-altitude operation, the double-hook spacing of the safety belt needs to be monitored in real time to ensure that the double hooks are not too close, so as to avoid safety hazards caused by the double-hook spacing being too close. In the prior art, a fixed double-hook spacing safety range is generally used as a safety judgment standard. However, due to different operating environments, the fixed double-hook spacing safety range may not be applicable to safety belt use monitoring in all operating environments. The prior art does not dynamically set accurate double-hook safety spacing for different operating environments, and cannot improve the accuracy and environmental adaptability of the use safety judgment result to further improve the effectiveness of high-altitude operation safety belt use abnormal data transmission. SUMMARY

[0003] The purpose of the present application is to provide a high-altitude operation safety belt data transmission system and method based on wireless communication to solve the problems in the prior art.

[0004] To achieve the above-mentioned purpose, the present application provides the following technical scheme: a high-altitude operation safety belt data transmission system based on wireless communication, the system comprising a high-altitude operation data acquisition module, a data correction training module, a safety belt use monitoring module and an abnormal data communication module. The high-altitude operation data acquisition module is used to acquire high-altitude operation historical data, the high-altitude operation historical data comprising operating environment data, operating personnel behavior data, safety belt use data and system default safety data, and the high-altitude operation historical data is stored in a database. The data correction training module is used to correct the operating personnel behavior data and the safety belt use data, combine the corrected data into sample data, and generate a safety belt use safety dynamic analysis model after training the sample data. The safety belt use monitoring module is used to plan safety belt use safety judgment standards, monitor the safety belt use during the current high-altitude operation, and judge whether the safety belt use is abnormal according to the judgment standards. The abnormal data communication module is used to transmit abnormal warning data through wireless communication technology when the safety belt use is judged to be abnormal.

[0005] Preferably, the high-altitude operation data collection module comprises an operation environment data collection unit, an operation personnel data collection unit and a safety belt use data collection unit; The operation environment data collection unit is used to collect the contour data of the structure suspended by the double hooks of the safety belt used by the operation personnel in the past when performing high-altitude operation, and the contour data of the structure is collected by image shooting; The operation personnel data collection unit is used to collect the movement path of the operation personnel in the past when performing high-altitude operation; The safety belt use data collection unit is used to collect the movement distance data of the operation personnel and the double-hook spacing data of the safety belt each time the double hooks are alternately suspended, and the safety belt use data collection unit is also used to collect the safety belt double-hook spacing safety range data corresponding to the movement distance range set by default by the system.

[0006] Preferably, the data correction training module comprises a historical data correction unit, a sample data composition unit and a data training and model establishment unit; The historical data correction unit is used to detect the safety belt use data and determine whether the safety belt use data needs to be corrected, and to correct part of the data; The sample data composition unit is used to compose sample data from the corrected data; The data training and model establishment unit is used to fit and train the sample data, and to establish a safety belt use safety dynamic analysis model under different operation environments.

[0007] Preferably, the safety belt use monitoring module comprises a current operation data acquisition unit, a data matching unit and a judgment standard planning unit; The current operation data acquisition unit is used to acquire the contour data of the structure to which the safety belt double hooks of the operation personnel are planned to be suspended in the current operation environment, and the movement path of the operation personnel when performing high-altitude operation; The data matching unit is used to match the contour and the movement path with the high-altitude operation historical data in the database; The judgment standard planning unit is used to plan the safety belt use safety judgment standard according to the matching result.

[0008] Preferably, when it is monitored that the safety belt use data in the current operation does not meet the safety belt use safety standard, the abnormal data communication module is used to transmit safety belt use abnormal early warning data to the high-altitude operation monitoring terminal.

[0009] A high-altitude operation safety belt data transmission method based on wireless communication, comprising the following steps: S01: Collect high-altitude operation historical data, including operation environment data, operation personnel behavior data, safety belt use data, and system default setting safety data, store the high-altitude operation historical data into the database, and the collected historical data is the high-altitude operation historical data without safety accidents; S02: Correct the operation personnel behavior data and the safety belt use data, combine the corrected data into sample data, train the sample data to generate a safety belt use safety dynamic analysis model; S03: Obtain current operation environment data, match with historical operation environment data, and plan safety belt use safety judgment criteria for current high-altitude operation according to the matching result; S04: Real-time monitor the safety belt use of the operation personnel during the current high-altitude operation, judge whether the safety belt use is abnormal according to the judgment criteria, and transmit abnormal early warning data through wireless communication technology when the abnormality occurs.

[0010] Preferably, in step S01: the profile data of the structure suspended by the double hooks of the safety belt used by the operation personnel during the previous high-altitude operation, the moving path of the operation personnel during the high-altitude operation, the moving distance data of the operation personnel each time the double hooks are alternately suspended, and the double hook spacing data of the safety belt are collected. When the moving distance does not exceed c, the system default setting safety range of the safety belt double hook spacing is: when the moving distance range is (0, a), the default setting safety range of the safety belt double hook spacing is [b, a], b>0; when the moving distance range is [a, c], the default setting safety range of the safety belt double hook spacing is [a, d], a<d<c, wherein the value of c is less than or equal to 2, and the unit is meter.

[0011] Preferably, in step S02: the moving distance set of the operation personnel wearing the safety belt each time the double hooks are alternately suspended during the previous random high-altitude operation is L={L1, L2,...L n}, wherein the value of each element in L does not exceed c, and the double hook spacing set of the safety belt each time the double hooks are alternately suspended is D={D1, D2,...D n}, n represents the number of movements of the operation personnel, and the values of the elements in the set L and the set D are detected one by one: when the value of the element in the set L belongs to the range (0, a), it is detected whether the value of the element in the set D is within the range [b, a]: if yes, the corresponding double hook spacing data is not corrected; if no, the corresponding double hook spacing data is corrected, and the correction method is: when the moving distance is L i , the double hook spacing D i is not within the range [b, a], D i is corrected to D i’ , D i ’ = [(a-b) / 2+L i ] / 2; When the value of the element in the set L belongs to the range [a, c], it is detected whether the value of the element in the set D is in the range [a, d]: if yes, the corresponding double-hook interval data is not corrected; if not, the corresponding double-hook interval data is corrected, and the correction method is: when the moving distance is L j , the double-hook interval D j is not in the range [a, d], D j is corrected to D j ’ , D j ’ = [(d-a) / 2+L j ] / 2; The double-hook interval set after correction is {D1 ’ , D2 ’ ,...D n ’}, the double-hook interval in the set which is not corrected is the original collected double-hook interval, and the generated sample data set is {(L1, D1 ’ ), (L2, D2 ’ ),... (L n , D n ’}. After fitting and training the sample data, the safety dynamic analysis model of the safety belt in a random working environment is generated: y=k1*x+k2, wherein x represents the independent variable in the model representing the moving distance of the working personnel each time the double-hook is alternately suspended, y represents the dependent variable in the model representing the double-hook interval of the safety belt, k1 and k2 are fitting coefficients, and the safety dynamic analysis model of the safety belt in different working environments is obtained in the same way. When performing high-altitude operation, the double-hook spacing of the safety belt used by the operator needs to be dynamically adjusted according to the moving distance, so that the double-hook spacing is within the safe range. In order to realize accurate monitoring of the safety belt used in high-altitude operation, the moving distance of the operator and the double-hook spacing data when the double hooks are alternately suspended are collected as sample data for training to establish a model for accurate monitoring of safety. In addition, although no safety accidents have occurred, there may be some data in the sample data that is not within the safety range set by the system by default. Therefore, the original collected sample data is detected one by one, and the abnormal data is corrected after detection. The data after correction is within the safety range set by the system by default. The abnormal data is not directly excluded, but is corrected. This is because directly excluding abnormal data may lead to insufficient sample data, which is beneficial to maintaining a certain amount of sample data and improving the data support of model establishment. The dynamic adaptive monitoring of the safety of the safety belt used in some operation scenarios is realized, and the accuracy of the safety monitoring of the safety belt used by the model as a judgment standard is improved.

[0012] Preferably, in steps S03-S04: the profile data of the structure to which the safety belt double hooks of the operator in the current operation environment are planned to be suspended, and the moving path of the operator when performing high-altitude operation are obtained, and the profile and moving path are matched with the high-altitude operation historical data in the database: If the same data as the profile of the structure to which the safety belt double hooks are planned to be suspended and the same moving path are matched in the high-altitude operation historical data, that is, the same operation environment as the current operation environment exists in the high-altitude operation historical data, the same operation environment means that the profile of the structure to which the safety belt double hooks are suspended is the same and the moving path of the operator is the same, the safety belt use safety dynamic analysis model corresponding to the operation environment is called as y1=k1 ’ *x1+k2 ’ , k1 ’ and k2 ’ represent the fitting coefficients of the model corresponding to the operation environment, x1 represents the independent variable in the corresponding model, which represents the moving distance of the operator each time the double hooks are alternately suspended, y1 represents the dependent variable in the corresponding model, which represents the double-hook spacing of the safety belt, and the safety belt use safety judgment standard takes the corresponding model as the judgment standard. The moving distance H of the operator each time the double hooks are alternately suspended and the actual double-hook spacing G are monitored in real time when performing high-altitude operation at present, H is substituted into the model: let x1=H, the current double-hook safety spacing is k1 ’ *H+k2 ’ , if G≥k1 ’ *H+k2 ’ , it is judged that the safety belt use is abnormal; if G’ H+k2 ’ If the safety belt use is abnormal, the abnormal early warning data is transmitted to the aerial work monitoring terminal, and the monitoring terminal receives the early warning data and prompts the current worker to increase the distance between the double hooks. If there is no data in the aerial work history data that matches the profile of the structure to be suspended and the moving path, the safety belt use safety judgment standard is set to the safety range of the system default safety belt double hook distance, and when the actual double hook distance is not in the safety range of the safety belt double hook distance corresponding to the moving distance, it is judged that the safety belt use is abnormal, and the abnormal early warning data is transmitted to the aerial work monitoring terminal. The safety belt use safety judgment standard is adjusted according to different situations, and only when there is data in the history data that completely matches the current aerial work data, the model is used as the judgment standard to monitor the safety belt use during the aerial work. The complete matching of the working environment improves the rationality of using the model as the judgment standard for safety monitoring, and improves the effectiveness of abnormal monitoring and early warning. Considering that there may be no working environment data in the history data that completely matches the current working environment, in this case, the established model cannot be used as the judgment standard, and the safety range of the default safety belt double hook distance is selected as the judgment standard, which ensures that the safety belt use safety can be effectively monitored in all different situations.

[0013] Compared with the prior art, the present application has the following advantages: To realize precise monitoring of safety belt use safety during aerial work, the history data of previous aerial work without safety accidents is collected, the moving distance of the worker and the double hook distance data during the double hook alternate suspension are used as sample data for training to establish a model for precise safety monitoring. In addition, although there are no safety accidents, there may be some data in the sample data that is not within the safety range set by the system by default. Therefore, the original collected sample data is detected one by one, and the abnormal data is corrected after detection. The data after correction is within the safety range set by the system by default. Instead of directly eliminating abnormal data, the abnormal data is corrected. It is considered that directly eliminating abnormal data may lead to insufficient sample data, which is beneficial to ensure that the sample data can maintain a certain amount of data, improve the data support of model establishment, realize dynamic adaptive monitoring of safety belt use safety in some working scenarios, and improve the accuracy of safety belt use safety monitoring using the model as the judgment standard. Adaptively adjust the safety judgment criteria for seat belt use according to different situations. The model is used as the judgment criterion to monitor the current use of seat belts during high-altitude operations only when there is data in the historical data that completely matches the current high-altitude operation data. The complete matching of the working environment improves the rationality of using the model as the judgment criterion for safety monitoring, and improves the effectiveness of abnormality monitoring and abnormality warning. Considering that there may be no working environment data in the historical data that completely matches the current working environment, the established model cannot be used as the judgment criterion in this case. The default setting of the safety range of the double hook spacing of the seat belt is selected as the judgment criterion to ensure that the safety of seat belt use can be effectively monitored in all different situations. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 This is a structural diagram of a data transmission system for a safety belt for working at heights based on wireless communication according to the present invention; Figure 2 The present invention is a flowchart of a method for transmitting data of a safety belt for high-altitude work based on wireless communication. DETAILED DESCRIPTION

[0015] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0016] Example 1: Figure 1 As shown, this embodiment provides a high-altitude work safety belt data transmission system based on wireless communication, and the system includes: a high-altitude work data acquisition module, a data correction training module, a safety belt usage monitoring module and an abnormal data communication module; the high-altitude work data acquisition module is used to collect high-altitude work historical data, and the high-altitude work historical data includes work environment data, work personnel behavior data, safety belt usage data and system default safety data, and stores the high-altitude work historical data in a database; the data correction training module is used to correct the work personnel behavior data and the safety belt usage data, combine the corrected data into sample data, and generate a safety dynamic analysis model for safety of safety belt usage after training the sample data; the safety belt usage monitoring module is used to plan the safety judgment standard of safety belt usage, monitor the current safety belt usage during high-altitude work, and judge whether there is any abnormality in the use of the safety belt based on the judgment standard; the abnormal data communication module is used to transmit abnormal warning data through wireless communication technology when it is judged that the use of the safety belt is abnormal.

[0017] The high-altitude work data acquisition module includes an operating environment data acquisition unit, an operator data acquisition unit and a safety belt usage data acquisition unit; the operating environment data acquisition unit is used to collect the contour data of the structure suspended by the double hooks of the safety belt used by the operators in the past when performing high-altitude operations, and collects the contour data of the structure through image capture; the operator data acquisition unit is used to collect the movement path of the operators when performing high-altitude operations in the past; the safety belt usage data acquisition unit is used to collect the operator's movement distance data and the double hook spacing data of the safety belt each time the double hooks are alternately suspended. The safety belt usage data acquisition unit is also used to collect the safety range data of the safety belt double hook spacing corresponding to the movement distance range set by the system by default.

[0018] The data correction training module includes a historical data correction unit, a sample data composition unit and a data training and model building unit; the historical data correction unit is used to detect the seat belt usage data, determine whether the seat belt usage data needs to be corrected, and correct part of the data; the sample data composition unit is used to form sample data from the corrected data; the data training and model building unit is used to perform fitting training on the sample data and establish a seat belt usage safety dynamic analysis model under different working environments.

[0019] The safety belt usage monitoring module includes a current operation data acquisition unit, a data matching unit, and a judgment standard planning unit; the current operation data acquisition unit is used to obtain the contour data of the structure where the double hooks of the worker's safety belt are planned to be suspended in the current operation environment, as well as the worker's expected movement path when performing high-altitude operations; the data matching unit is used to match the contour and movement path with the high-altitude operation historical data in the database; the judgment standard planning unit is used to plan the safety judgment standard for safety belt usage based on the matching results.

[0020] When it is monitored that the safety belt usage data during the current operation does not meet the safety standards for the use of safety belts, the abnormal data communication module is used to transmit the abnormal use of safety belts warning data to the high-altitude operation monitoring terminal.

[0021] Example 2: Figure 2 As shown, this embodiment provides a method for transmitting data of a safety belt for working at height based on wireless communication, which is implemented based on the data transmission system in the embodiment and specifically includes the following steps: S01: Collect high-altitude operation historical data, including operation environment data, operation personnel behavior data, safety belt use data, and system default setting safety data, and store the high-altitude operation historical data into a database: collect the profile data of the structure suspended by the double hooks of the safety belt used by the operation personnel when performing high-altitude operation, the movement path of the operation personnel when performing high-altitude operation, the movement distance data of the operation personnel each time the double hooks are alternately suspended, and the double hook spacing data of the safety belt, collect the system default setting safety range of the double hook spacing of the safety belt when the movement distance does not exceed c: when the range of the movement distance is (0, a), the default setting safety range of the double hook spacing of the safety belt is [b, a], b>0; when the range of the movement distance is [a, c], the default setting safety range of the double hook spacing of the safety belt is [a, d], a<d<c, wherein the value of c is less than or equal to 2, the unit is meter, and the collected historical data is high-altitude operation historical data without safety accidents; S02: Perform correction processing on the operation personnel behavior data and the safety belt use data, combine the data after correction processing into sample data, and generate a safety belt use safety dynamic analysis model after training the sample data: collect the movement distance set of the operation personnel wearing a safety belt each time the double hooks are alternately suspended when performing high-altitude operation at random once in the past as L={L1, L2,...L n}, wherein the value of each element in L does not exceed c, the double hook spacing set of the safety belt each time the double hooks are alternately suspended is D={D1, D2,...D n}, and n represents the number of movements of the operation personnel, and the values of the elements in the set L and the set D are detected one by one: when the value of the element in the set L belongs to the range (0, a), it is detected whether the value of the element in the set D is within the range [b, a]: if yes, the corresponding double hook spacing data is not corrected; if no, the corresponding double hook spacing data is corrected, and the correction method is: when the movement distance is L i , the double hook spacing D i is not within the range [b, a], D i is corrected to D i ’ , D i ’ =[(a-b) / 2+L i ] / 2; When the value of the element in the set L belongs to the range [a, c], it is detected whether the value of the element in the set D is within the range [a, d]: if yes, the corresponding double hook spacing data is not corrected; if no, the corresponding double hook spacing data is corrected, and the correction method is: when the movement distance is L j , the double hook spacing D j is not within the range [a, d], D jAmend to D j ’ , D j ’ = [(d-a) / 2+L j ] / 2; For example: the system default setting of the safety belt double hook distance safety range is: when the range of movement distance is (0, 1), the default setting of the safety belt double hook distance safety range is [0.5, 1], it is detected that in the historical data, when the movement distance is 0.8, the corresponding double hook distance of the safety belt is 1.2, 1.2 is not in the safety range, the double hook distance is amended to [(a-b) / 2+L i ] / 2=0.525, then the corrected training data is (0.8, 0.525); The double hook distance set after the correction processing is {D1 ’ ,D2 ’ ,...D n ’}, the double hook distance in the set which is not processed is the original collected double hook distance, and the sample data set is generated {(L1,D1 ’ ),(L2,D2 ’ ),...(L n ,D n ’ )}, after fitting and training the sample data, the safety belt use safety dynamic analysis model in a random working environment is generated: y=k1*x+k2, wherein, x represents the independent variable in the model representing the movement distance of the working personnel each time the double hook is alternately suspended, y represents the dependent variable in the model representing the double hook distance of the safety belt, k1 and k2 are fitting coefficients, and the safety belt use safety dynamic analysis model in different working environments is obtained in the same way.

[0022] S03: obtaining current working environment data, matching with historical working environment data, and planning safety belt use safety judgment standard during current high-altitude operation according to the matching result; S04: real-time monitoring the safety belt use of the working personnel during the current high-altitude operation, judging whether the safety belt use is abnormal according to the judgment standard, and transmitting abnormal early warning data through wireless communication technology when the abnormality occurs; In steps S03-S04: the contour data of the double hook planned suspension structure of the safety belt of the working personnel in the current working environment is obtained, and the movement path of the working personnel during high-altitude operation is planned, and the contour and the movement path are matched with the high-altitude operation historical data in the database: If the same structure profile and the same moving path as the structure to be suspended in the current plan are matched in the aerial work history data, that is, the same work environment as the current work environment exists in the aerial work history data, the same work environment refers to the same structure profile of the safety belt double-hook suspended structure and the same moving path of the work personnel, the safety belt use safety dynamic analysis model corresponding to the work environment is called as y1=k1 ’ *x1+k2 ’ , k1 ’ and k2 ’ represent the fitting coefficients of the model corresponding to the work environment, x1 represents the independent variable in the corresponding model, which refers to the moving distance of the work personnel each time the double-hook alternate suspension is performed, y1 represents the dependent variable in the corresponding model, which refers to the double-hook spacing of the safety belt, the safety belt use safety judgment standard takes the corresponding model as the judgment standard, and the moving distance H of the work personnel each time the double-hook alternate suspension is performed and the actual double-hook spacing G are monitored in real time when the aerial work is currently performed, H is substituted into the model: x1=H, and the current double-hook safety spacing k1 ’ *H+k2 ’ is obtained, if G>=k1 ’ *H+k2 ’ , it is judged that the safety belt use is abnormal; if G<k1 ’ *H+k2 ’ , it is judged that the safety belt use is abnormal, and the abnormal warning data is transmitted to the aerial work monitoring terminal, and the monitoring terminal prompts the current work personnel to increase the spacing between the current double-hook after receiving the warning data; If the same structure profile and the same moving path as the structure to be suspended in the current plan do not exist in the aerial work history data, the safety belt use safety judgment standard takes the safety range of the safety belt double-hook spacing set by the system by default as the judgment standard: when the actual double-hook spacing is monitored to be not in the safety range of the safety belt double-hook spacing corresponding to the moving distance range, it is judged that the safety belt use is abnormal, and the abnormal warning data is transmitted to the aerial work monitoring terminal.

[0023] It is apparent to those skilled in the art that the present application is not limited to the details of the foregoing exemplary embodiments, and the present application can be implemented in other concrete forms without departing from the spirit or essential characteristics of the present application. Therefore, the embodiments should be considered in all respects as illustrative and not restrictive, the scope of the present application being defined by the appended claims rather than the foregoing description, and it is intended to encompass all changes falling within the meaning and range of equivalents of the claims. Any reference signs in the claims should not be considered as limiting the claims involved.

Claims

1. A data transmission system for high-altitude work safety belts based on wireless communication, characterized by: It includes high-altitude operation data acquisition module, data correction training module, safety belt use monitoring module and abnormal data communication module; The high-altitude operation data acquisition module is used to collect high-altitude operation historical data, which includes operating environment data, operator behavior data, safety belt usage data and system default safety data, and store the high-altitude operation historical data in the database; The data correction training module is used to correct the operator behavior data and the seat belt use data, combine the corrected data into sample data, and generate a seat belt use safety dynamic analysis model after training the sample data; The seat belt use monitoring module is used to plan the safety judgment standard for seat belt use, monitor the current seat belt use during high-altitude operations, and determine whether there is any abnormality in the use of the seat belt based on the judgment standard; The abnormal data communication module is used to transmit abnormal warning data through wireless communication technology when it is determined that the use of the seat belt is abnormal.

2. The data transmission system for high-altitude working safety belts based on wireless communication according to claim 1, characterized in that: The aerial work data acquisition module includes an operating environment data acquisition unit, an operator data acquisition unit, and a safety belt use data acquisition unit; The working environment data acquisition unit is used to collect the contour data of the structure suspended by the double hooks of the safety belt used by the workers when performing high-altitude work in the past; The operator data collection unit is used to collect the movement paths of operators when they performed high-altitude operations in the past; The safety belt usage data acquisition unit is used to collect the operator's movement distance data and the double hook spacing data of the safety belt each time the double hooks are alternately suspended. The safety belt usage data acquisition unit is also used to collect the safety range data of the safety belt double hook spacing corresponding to the movement distance range set by the system by default.

3. The data transmission system for high-altitude working safety belts based on wireless communication according to claim 2, characterized in that: The data correction training module includes a historical data correction unit, a sample data composition unit and a data training and model building unit; The historical data correction unit is used to detect the seat belt usage data, determine whether the seat belt usage data needs to be corrected, and correct part of the data; The sample data forming unit is used to form sample data from the corrected data; The data training and model building unit is used to perform fitting training on sample data and establish a safety dynamic analysis model for seat belt use in different working environments.

4. The data transmission system for high-altitude working safety belts based on wireless communication according to claim 3, characterized in that: The seat belt use monitoring module includes a current operation data acquisition unit, a data matching unit, and a judgment standard planning unit; The current operation data acquisition unit is used to acquire the contour data of the structure where the double hooks of the worker's safety belt are planned to be suspended in the current operation environment, and the worker's expected movement path when performing high-altitude operations; The data matching unit is used to match the profile and movement path with the high-altitude work historical data in the database; The judgment standard planning unit is used to plan a safety judgment standard for seat belt use based on the matching result.

5. The data transmission system for high-altitude working safety belts based on wireless communication according to claim 4, characterized in that: When it is monitored that the safety belt usage data during the current operation does not meet the safety standards for the use of the safety belt, the abnormal data communication module is used to transmit the abnormal use of the safety belt warning data to the high-altitude operation monitoring terminal.

6. A method for transmitting data from a safety belt for high-altitude work based on wireless communication, characterized in that: The following steps are involved: S01: Collect historical data of high-altitude operations, including operating environment data, operator behavior data, safety belt usage data, and system default safety data, and store the historical data of high-altitude operations in the database; S02: Correcting the operator behavior data and the seat belt usage data, combining the corrected data into sample data, and training the sample data to generate a seat belt usage safety dynamic analysis model; S03: Obtain current working environment data, match it with historical working environment data, and plan safety judgment criteria for using safety belts during current high-altitude operations based on the matching results; S04: Monitor the use of safety belts by workers during current high-altitude operations in real time, determine whether there is any abnormality in the use of safety belts based on the judgment criteria, and transmit abnormal warning data through wireless communication technology when an abnormality occurs.

7. The method for transmitting data from a safety belt for working at heights based on wireless communication according to claim 6, characterized in that: In step S01: the contour data of the structure on which the double hooks of the safety belt used by the workers during high-altitude operations are suspended, the movement path of the workers during high-altitude operations, the movement distance data of the workers each time the double hooks are alternately suspended, and the double hook spacing data of the safety belt are collected. When the movement distance does not exceed c, the system default setting of the safety range of the double hook spacing of the safety belt is: when the movement distance range is (0, a), the default setting of the safety range of the double hook spacing of the safety belt is [b, a], b>0; when the movement distance range is [a, c], the default setting of the safety range of the double hook spacing of the safety belt is [a, d], a <d<c。 8. The method for transmitting data from a safety belt for working at heights based on wireless communication according to claim 7, characterized in that: In step S02: retrieve the set of moving distances of the operator wearing a safety belt when performing double hook alternating suspension during a random high-altitude operation in the past, which is L={L1, L2, ... L n }, each time the double hooks are alternately hung, the double hook spacing set of the safety belt is D={D1,D2,...D n }, n represents the number of times the operator moves, and the values ​​of the elements in the sets L and D are checked one by one: when the value of the element in the set L belongs to the range of (0, a), check whether the value of the element in the set D is in the range of [b, a]. If so, the corresponding double-hook spacing data will not be corrected; If not, the corresponding double hook spacing data will be corrected. The correction method is: get the moving distance L i When the double hook distance D i If it is not in the range [b, a], D i Corrected to D i ’ , D i ’ =[(ab) / 2+L i ] / 2; When the value of the element in the set L belongs to the range [a, c], check whether the value of the element in the set D is in the range [a, d]: if so, do not modify the corresponding double-hook spacing data; If not, the corresponding double hook spacing data will be corrected. The correction method is: get the moving distance L j When the double hook distance D j If it is not in the range [a, d], D j Corrected to D j ’ , D j ’ =[(da) / 2+L j ] / 2.

9. The method for transmitting data from a safety belt for working at heights based on wireless communication according to claim 8, characterized in that: The double hook spacing set after correction is {D1 ’ ,D2 ’ ,...D n ’ }, the generated sample data set is {(L1,D1 ’ ),(L2,D2 ’ ),...(L n ,D n ’ )}, after fitting and training the sample data, a safety dynamic analysis model for seat belt use in a random working environment is generated: y=k1*x+k2, where x refers to the independent variable in the model that represents the distance the operator moves each time the double hooks are alternately hung, y refers to the dependent variable in the model that represents the distance between the double hooks of the seat belt, k1 and k2 are fitting coefficients, and the safety dynamic analysis model for seat belt use in different working environments is obtained in the same way.

10. The method for transmitting data from a safety belt for working at heights based on wireless communication according to claim 9, characterized in that: In steps S03-S04: the contour data of the structure where the double hooks of the worker's safety belt are planned to be hung in the current working environment, as well as the worker's expected movement path when performing high-altitude work, are obtained, and the contour and movement path are matched with the historical data of high-altitude work in the database: If the matched high-altitude operation history data contains data with the same outline and movement path as the structure currently planned to be suspended, the safety dynamic analysis model of the safety belt use in the corresponding working environment is retrieved as y1=k1 ’ *x1+k2 ’ , k1 ’ and k2 ’ It represents the fitting coefficient of the model under the corresponding working environment, x1 represents the independent variable in the corresponding model, which refers to the distance moved by the operator each time the double hooks are alternately hung, y1 represents the dependent variable in the corresponding model, which refers to the distance between the double hooks of the safety belt. The safety judgment standard for the use of the safety belt is based on the corresponding model. When the high-altitude operation is currently being carried out, the moving distance H and the actual distance G between the double hooks are monitored in real time each time the operator alternates the double hooks. Substitute H into the model: let x1=H, and the current double hook safety distance is obtained as k1 ’ *H+k2 ’ , if G ≥ k1 ’ *H+k2 ’ , judge that there is no abnormality in the use of the seat belt; If G <k1 ’ *H+k2 ’ , judge that there is an abnormality in the use of the safety belt, transmit the abnormal warning data to the high-altitude operation monitoring terminal, and after receiving the warning data, the monitoring terminal prompts the current operator to increase the distance between the current double hooks; If there is no data in the high-altitude operation history data that has the same outline as the structure currently planned to be suspended and overlaps with the moving path, the safety judgment standard for the use of the safety belt is based on the safety range of the safety belt double hook spacing set by the system by default: when it is monitored that the actual distance between the double hooks is not within the safety range of the safety belt double hook spacing corresponding to the moving distance range, it is judged that the use of the safety belt is abnormal, and the abnormal warning data is transmitted to the high-altitude operation monitoring terminal.

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