A tunnel construction personnel management system and method

Abstract

The application provides a tunnel construction personnel management system and method, and relates to the technical field of tunnel construction.The management system comprises a data acquisition unit, a state analysis unit, a condition evaluation unit, a personnel deployment unit and a data sending unit.The data acquisition unit is used for acquiring positioning data and physical index data of multiple construction terminals.The state analysis unit is used for obtaining real-time construction operation item types according to the positioning data and the physical index data.The condition evaluation unit is used for obtaining corresponding physical load indexes according to the real-time construction operation item types, the positioning data and the physical index data.The personnel deployment unit is used for dynamically deploying construction operation items according to the physical load indexes to obtain personnel deployment data.The data sending unit is used for sending the personnel deployment data to corresponding construction terminals to manage tunnel construction personnel.The system and method provided by the application can ensure the health status and life safety of tunnel construction personnel during construction, and also ensure the high efficiency of tunnel construction.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of tunnel construction, in particular to a tunnel construction personnel management system and method. BACKGROUND

[0002] The tunnel construction technology is mainly an engineering technology system for large-span tunnel construction, taking the new Austrian tunneling method as the core principle. After relevant construction personnel enter the site, the dynamic construction control is realized by using the anchor rod, sprayed concrete and other initial support means combined with the self-bearing capacity of surrounding rock to carry out tunnel construction.

[0003] In the existing tunnel construction process, due to the complexity of the tunnel construction site, the construction personnel are difficult to be accurately positioned, and it is inconvenient to timely understand the construction state of the relevant construction personnel, whether it is suitable to continue to complete the relevant construction work, thereby causing the construction personnel to work for a long time under high load, resulting in slow tunnel construction operation efficiency, and if the construction personnel work under high load, due to the high risk of tunnel construction, accidents are prone to occur, which is not conducive to achieving the construction goal of safe construction. SUMMARY

[0004] The present application provides a tunnel construction personnel management system and method to solve the technical problems in the prior art that due to the complexity of the tunnel construction site, the construction personnel are difficult to be accurately positioned, and it is inconvenient to timely understand the construction state of the relevant construction personnel, whether it is suitable to continue to complete the relevant construction work, thereby causing the construction personnel to work for a long time under high load, resulting in slow tunnel construction operation efficiency, and if the construction personnel work under high load, due to the high risk of tunnel construction, accidents are prone to occur, which is not conducive to achieving the construction goal of safe construction.

[0005] To achieve the above-mentioned purpose and other related purposes, the present application provides a tunnel construction personnel management system, comprising: a data acquisition unit for acquiring positioning data and body index data of a plurality of construction terminals; a state analysis unit for analyzing the construction state according to the positioning data and the body index data, obtaining the real-time construction operation item type corresponding to each construction terminal; a condition evaluation unit for evaluating the physical condition of the construction personnel corresponding to each construction terminal according to the real-time construction operation item type, the positioning data and the body index data, obtaining the corresponding body load index; a personnel deployment unit for dynamically deploying the construction operation item according to the body load index, obtaining personnel deployment data; and a data sending unit for sending the personnel deployment data to the corresponding construction terminal to manage the tunnel construction personnel.

[0006] In an embodiment of the present application, the state analysis unit comprises: a point detection subunit configured to detect a coordinate stay point of the positioning data to obtain a stay interest point; a data extraction subunit configured to extract index data from the body index data to obtain point index data corresponding to the stay interest point; a similarity comparison subunit configured to compare the point index data with reference index data corresponding to each construction operation item to obtain a plurality of reference index data that reaches a preset similarity with the point index data; an operation item acquisition subunit configured to obtain a similar operation item corresponding to each construction terminal according to the reference index data; a matching query subunit configured to perform process matching query according to the stay interest point of each construction terminal to obtain a plurality of matching construction processes, each of which comprises a plurality of preset operation items; and an operation item comparison subunit configured to compare the matching construction processes with the similar operation items corresponding to all construction terminals to obtain a real-time construction operation item type corresponding to each construction terminal.

[0007] In an embodiment of the present application, the operation item comparison subunit comprises: a set building module configured to extract the similar operation items corresponding to each construction terminal to form a similar operation item set corresponding to all construction terminals; a matching calculation module configured to perform matching calculation on each similar operation item in each similar operation item set and a preset operation item corresponding to each operation range area in the matching construction process to obtain a comprehensive matching degree corresponding to each similar operation item set; and a set selection module configured to select a target similar operation item set corresponding to a maximum value in the comprehensive matching degree and take each similar operation item in the target similar operation item set as a real-time construction operation item type corresponding to the construction terminal.

[0008] In an embodiment of the present application, the matching calculation module comprises: a judgment sub-module configured to judge whether each preset operation item in each operation range area is consistent with the similar operation item corresponding to the positioning data and to count a first number of similar operation items consistent with the preset operation item in the operation range area; an operation item difference calculation sub-module configured to obtain an operation item difference value in the operation range area according to a first total number of the preset operation items and a second total number of the similar operation items in the operation range area; a matching proportion calculation sub-module configured to obtain a matching proportion according to the first number and the first total number in the operation range area; and a comprehensive calculation sub-module configured to obtain a comprehensive matching degree corresponding to each similar operation item set according to the operation item difference value, a first matching degree coefficient corresponding to the operation item difference value, the matching proportion, a second matching degree coefficient corresponding to the matching proportion, and a matching importance degree of each operation range area.

[0009] In an embodiment of the present application, the calculation formula of the comprehensive matching degree is: ; wherein, a first quantity representing matching between the corresponding preset work item and the similar work item in each work range area, a first total quantity representing the preset work item in each work range area, a second total quantity representing the similar work item in each work range area, a matching importance degree representing each work range area, a quantity representing the work range area, a quantity representing a work item difference value a corresponding first matching degree coefficient, a quantity representing a work item difference value a corresponding first matching degree coefficient, a matching proportion a corresponding second matching degree coefficient.

[0010] In an embodiment of the present application, the condition evaluation unit comprises: a type query subunit, configured to query a corresponding index demand type according to the real-time construction work item type; a screening subunit, configured to screen the physical index data according to the index demand type to obtain a plurality of screening index data corresponding to the real-time construction work item type; an increment query subunit, configured to query a corresponding unit time construction load increment according to the real-time construction work item type; a time length query subunit, configured to query a stay time length of the construction terminal at each stay interest point according to the positioning data and the stay interest point corresponding to each real-time construction work item type; and an index calculation subunit, configured to evaluate the physical condition of the construction personnel corresponding to each construction terminal according to the screening index data, the unit time construction load increment and the stay time length to obtain a corresponding physical load index.

[0011] In an embodiment of the present application, each screening index data comprises resting index data and real-time index data; the index calculation subunit comprises: an index difference calculation module, configured to calculate the index difference value by differentiating the resting index data and the real-time index data; a first index calculation module, configured to calculate a first physical load index according to the index difference value and a load conversion factor corresponding to each index difference value; a second index calculation module, configured to calculate a second physical load index according to the unit time construction load increment and the stay time length; and a superposition calculation module, configured to obtain a corresponding physical load index according to the first physical load index and the second physical load index.

[0012] In an embodiment of the present application, the calculation formula of the physical load index is: , a quantity representing the screening index data, a real-time index data, This represents resting index data. Indicates the load conversion factor. Indicates the number of real-time construction operation item types. This represents the sum of dwell times at all points of interest corresponding to each real-time construction task type. This represents the unit-time increase in construction load corresponding to each real-time construction operation item type.

[0013] In one embodiment of the present invention, the personnel allocation unit includes: a first threshold detection subunit, used to perform a first index threshold detection on the target physical load index corresponding to the target construction terminal; a proximity index extraction subunit, used to obtain the proximity physical load index corresponding to the proximity construction terminal when the target physical load index reaches the first index threshold; a second threshold detection subunit, used to perform a second index threshold detection on the proximity physical load index, wherein the second index threshold is less than the first index threshold; a distance calculation subunit, used to obtain the distance value between the target construction terminal and the proximity construction terminal based on the first positioning data corresponding to the target construction terminal and the second positioning data corresponding to the proximity construction terminal when the proximity physical load index does not reach the second index threshold; and a distance selection subunit, used to select the proximity construction terminal corresponding to the minimum distance value as the personnel allocation data.

[0014] To achieve the above and other related objectives, the present invention also provides a method for managing tunnel construction personnel, comprising: acquiring location data and physical indicator data of multiple construction terminals through a data acquisition unit 111; performing construction status analysis based on the location data and physical indicator data through a status analysis unit to obtain the real-time construction task type corresponding to each construction terminal; assessing the physical condition of construction personnel corresponding to each construction terminal through a status evaluation unit based on the real-time construction task type, location data, and physical indicator data to obtain corresponding physical load indicators; dynamically allocating construction tasks based on the physical load indicators through a personnel allocation unit to obtain personnel allocation data; and sending the personnel allocation data to the corresponding construction terminals through a data sending unit for tunnel construction personnel management.

[0015] The beneficial effects of the present invention are as follows: The tunnel construction personnel management system and method proposed in this invention obtains the location data and physical indicator data of each construction worker's construction terminal, and then analyzes the construction status based on the location data and physical indicator data to determine the real-time construction operation type of each construction terminal. After obtaining the real-time construction task types, the physical condition of each construction worker can be assessed by combining the location data and physical indicator data from the corresponding construction terminals. This yields corresponding physical load indicators, which determine the intensity of construction work during tunnel construction based on the worker's real-time task type, working time, and physical indicators. The physical load indicators of each worker can be accurately calculated, and intelligent monitoring and reassignment of workers performing high-intensity work can be achieved using these indicators. Matching appropriate personnel allocation data and sending it to the corresponding construction terminals allows for effective intelligent monitoring, intelligent load calculation, and intelligent reassignment of each tunnel construction worker's work status. This improves the intelligent management system for tunnel construction workers, ensuring both their health and safety during construction while maintaining high efficiency. Furthermore, this construction worker management system and method not only enables intelligent safety monitoring and management in tunnel construction but also in other high-altitude work scenarios, ensuring both construction quality and worker safety. Attached Figure Description

[0016] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort.

[0017] In the attached diagram:

[0018] Figure 1 This is a structural block diagram of the tunnel construction personnel management system provided in an embodiment of the present invention;

[0019] Figure 2 The diagram shown is a flowchart illustrating a tunnel construction personnel management method according to an embodiment of the present invention.

[0020] The attached figures are labeled as follows:

[0021] Data acquisition unit 111; status analysis unit 112; status assessment unit 113; personnel allocation unit 114; data transmission unit 115. Detailed Implementation

[0022] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0023] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. The drawings only show the components related to the present invention and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0024] In the following description, numerous details are explored to provide a more thorough explanation of embodiments of the invention. However, it will be apparent to those skilled in the art that embodiments of the invention may be practiced without these specific details. In other embodiments, well-known structures and devices are shown in block diagram form rather than in detail to avoid obscuring embodiments of the invention.

[0025] Please see Figure 1 This invention provides a tunnel construction personnel management system, comprising: a data acquisition unit 111 for acquiring location data and physical indicator data of multiple construction terminals; a status analysis unit 112 for performing construction status analysis based on the location data and physical indicator data to obtain the real-time construction task type corresponding to each construction terminal; a status assessment unit 113 for assessing the physical condition of construction personnel corresponding to each construction terminal based on the real-time construction task type, location data, and physical indicator data to obtain corresponding physical load indicators; a personnel allocation unit 114 for dynamically allocating construction tasks based on the physical load indicators to obtain personnel allocation data; and a data sending unit 115 for sending the personnel allocation data to the corresponding construction terminals for tunnel construction personnel management.

[0026] As can be seen from the above, in the tunnel construction personnel management system of the present invention, the data acquisition unit 111 can acquire the location data and physical indicator data of each construction worker's construction terminal during construction. Specifically, this can be achieved by having each construction worker wear a wearable smart terminal as a construction terminal, thereby enabling location monitoring of the construction worker and monitoring of physical indicator data during construction, which is then sent to the data acquisition unit 111. Alternatively, the data acquisition unit 111 can actively collect data from each construction terminal. This physical indicator data may include heart rate, movement speed, blood oxygen saturation, joint angles, and gait parameters, etc. Then, the status analysis unit 112 can analyze the construction status based on the location data and physical indicator data, thereby determining the real-time construction task type of each construction terminal. After obtaining the real-time construction task type, the status assessment unit 113 can further assess the physical condition of each construction worker by combining the positioning data and physical indicator data of the corresponding construction terminal, thereby deriving the corresponding physical load index. This determines the construction intensity of the construction workers during tunnel construction based on the real-time construction task type, working time, physical indicators, and other data. The physical load index of each construction worker can be accurately calculated, and the personnel allocation unit 114 can use the physical load index of each construction worker to intelligently monitor and reassign construction workers with high-intensity work, matching the corresponding personnel allocation data. The data is then sent to the construction terminal of the corresponding assigned personnel through the data sending unit 115. This effectively realizes intelligent monitoring of the working status of each tunnel construction worker, intelligent load calculation, and intelligent matching and reassignment, improving the intelligent management system for tunnel construction workers. This ensures the health and safety of tunnel construction workers during construction while also guaranteeing high efficiency in tunnel construction.

[0027] In the tunnel construction personnel management system of the present invention, the status analysis unit 112 includes: a point detection subunit, used to detect the coordinate stopping position of the positioning data to obtain the stopping point of interest; a data extraction subunit, used to extract the index data of the body index data to obtain the point index data corresponding to the stopping point of interest; a similarity comparison subunit, used to compare the similarity between the point index data and the benchmark index data corresponding to each construction operation item to obtain multiple benchmark index data that reach a preset similarity with the point index data; an operation item acquisition subunit, used to obtain the similar operation items corresponding to each construction terminal based on the benchmark index data; a matching query subunit, used to perform operation matching query based on the stopping point of interest of each construction terminal to obtain multiple matching construction operations, each matching construction operation including multiple preset operation items; and an operation item comparison subunit, used to compare the matching construction operation with the similar operation items corresponding to all construction terminals to obtain the real-time construction operation item type corresponding to each construction terminal.

[0028] When performing construction status analysis, the status analysis unit 112 can first use the point detection subunit to detect the coordinate positions appearing in the positioning data. When the positioning coordinates in the positioning data remain in the same position or the movement range formed by the positioning coordinates is less than a set distance value, the positioning coordinates corresponding to this time period can be identified as points of interest. Then, through the data extraction subunit, the indicator data of the construction personnel when they are at the points of interest can be further extracted, thereby finding the point indicator data in the body indicator data that corresponds to the points of interest. Furthermore, the similarity comparison subunit can compare the similarity of the found point indicator data with the benchmark indicator data corresponding to each construction operation item, first determining the construction operation items that the point indicator data can match as similar operation items. Specifically, the similarity comparison is performed between the point indicator data and the benchmark indicator data corresponding to each construction operation item. When benchmark indicator data that reaches a preset similarity with the point indicator data is found, the corresponding benchmark indicator data is recorded, thereby obtaining all the benchmark indicator data. The work item acquisition subunit then uses a table mapping benchmark index data to benchmark work items to find benchmark work items corresponding to the benchmark index data, which are then used as similar work items. After finding similar work items, the matching query subunit uses the points of interest (POIs) corresponding to each construction terminal to perform process matching queries, obtaining multiple matching construction processes. Specifically, a matching construction process database can be pre-set manually to store each preset work item and corresponding POI for different construction processes, and these POIs can be set work range areas. By determining whether each POI corresponds to the work range area of ​​the corresponding POI, matching construction processes that can match each POI can be found. The coordinates of each point in the positioning data and the coordinates of the POIs can be three-dimensional coordinates. The construction terminal used by the construction personnel can be a UWB smart bracelet, which can use UWB positioning technology to achieve real-time positioning and trajectory recording of the construction personnel, while also detecting various physical indicators.

[0029] After obtaining multiple matching construction procedures that correspond to all points of interest, the matching construction procedures can be compared with similar work items corresponding to all construction terminals by comparing the work item comparison sub-units. Based on the comparison results, the real-time construction work item type corresponding to each construction terminal can be accurately determined. This allows for the prediction of the physical load of construction workers by using the real-time construction work item type, combined with the location data and physical indicator data of the construction terminal, thus preventing construction workers from working under high load and ensuring construction safety.

[0030] The task comparison subunit may further include: a set assembly module, used to extract similar task items corresponding to each construction terminal and form a set of similar task items corresponding to all construction terminals; a matching calculation module, used to perform matching calculations on the similar task items in each set of similar task items and the preset task items corresponding to each work area in the matching construction process, to obtain the comprehensive matching degree corresponding to each set of similar task items; and a set selection module, used to select the target set of similar task items corresponding to the maximum value in the comprehensive matching degree, and to use each similar task item in the target set of similar task items as the real-time construction task item type corresponding to the construction terminal.

[0031] When the task comparison subunit compares the matched construction process with similar task items corresponding to all construction terminals, it can first use the set composition module to extract similar task items for each construction terminal based on the total number of construction terminals, thus forming a set of similar task items corresponding to all construction terminals. Then, the matching calculation module can perform matching calculations on the similar task items in each similar task item set with the preset task items corresponding to each work area in the matched construction process, thereby obtaining the comprehensive matching degree for each similar task item set. In other words, each similar task item set can be extracted sequentially, and each similar task item in the corresponding set can be compared with the preset task items corresponding to each work area in the matched construction process. When a similar task item is the same as a preset task item and exists within the work area corresponding to the preset task item, it means that the similar task item has been matched. Then, the same matching method is used to match other similar task items in each similar task item set, thereby calculating the comprehensive matching degree for each similar task item set based on the matching results. Finally, the set selection module first finds the target comprehensive matching degree and the target similar operation item set with the highest matching degree in the comprehensive matching degree. Then, each similar operation item in the target similar operation item set is used as the real-time construction operation item type corresponding to different construction terminals, thereby realizing the accurate classification of real-time construction operation item types for different construction terminals.

[0032] Specifically, the matching calculation module may further include: a judgment submodule, used to determine whether each preset work item in the work scope area is consistent with the similar work item corresponding to the positioning data for each work scope area, and to count the first number of similar work items consistent with the preset work items in the work scope area; a work item difference calculation submodule, used to obtain the work item difference value in the work scope area based on the first total number of preset work items and the second total number of similar work items in the work scope area; a matching ratio calculation submodule, used to obtain the matching ratio based on the first number and the first total number in the work scope area; and a comprehensive calculation submodule, used to obtain the comprehensive matching degree corresponding to each set of similar work items based on the work item difference value, the first matching degree coefficient corresponding to the work item difference value, the matching ratio, the second matching degree coefficient corresponding to the matching ratio, and the matching importance of each work scope area.

[0033] In calculating the overall matching degree, the matching calculation module first uses a judgment submodule to determine whether each preset work item in each work area is consistent with the similar work item corresponding to the location data. This means simultaneously determining whether the preset work item is the same as the similar work item and whether the location data of the preset work item is within the work area corresponding to the similar work item. If both are true, the first number of similar work items consistent with the preset work item in the work area is counted. Then, the work item difference calculation submodule calculates the work item difference value within the work area based on the first total number of preset work items and the second total number of similar work items in the work area. Next, the matching ratio calculation submodule calculates the matching ratio based on the first number and the first total number in the work area. Finally, the comprehensive calculation submodule accurately evaluates and calculates the overall matching degree corresponding to each set of similar work items based on the work item difference value, the first matching degree coefficient corresponding to the work item difference value, the matching ratio, the second matching degree coefficient corresponding to the matching ratio, and the matching importance of each work area. By utilizing the difference value of the work items and the matching ratio formed by the first number and the first total number of similar work items that are consistent with the preset work items within the statistical work scope area, it is possible to integrate multi-dimensional difference considerations and improve the reliability of the comprehensive matching degree calculation results.

[0034] Preferably, the formula for calculating the overall matching degree is:

[0035] ;

[0036] in, This represents the first number of matches between the corresponding preset task items and similar task items in each task range area. This indicates the first total number of preset work items in each work area. This represents the second total number of similar job items within each job scope area. This indicates the matching importance of each task range area. Indicates the number of work areas. express Time-based task item difference value The corresponding first matching degree coefficient, express Time-based task item difference value The corresponding first matching degree coefficient, Indicates the percentage of matches The corresponding second matching degree coefficient.

[0037] Specifically, in the calculation, one can simultaneously consider and There are two scenarios, and each scenario corresponds to a different matching coefficient, i.e. Time corresponds to the first matching degree coefficient , and Time corresponds to the first matching degree coefficient First matching degree coefficient First matching degree coefficient and the second matching coefficient All scores were pre-calibrated manually based on the conversion relationship between the differences in work items and the matching scores. The matching importance of each work area was determined in advance. Similarly, it was determined manually based on the importance of each work area.

[0038] In the tunnel construction personnel management system of the present invention, the condition assessment unit 113 includes: a type query subunit, used to find the corresponding indicator requirement type according to the real-time construction operation item type; a filtering subunit, used to filter the physical indicator data according to the indicator requirement type to obtain multiple filtered indicator data corresponding to the real-time construction operation item type; an increment query subunit, used to find the corresponding unit time construction load increment according to the real-time construction operation item type; a duration query subunit, used to find the dwell time of the construction terminal at each dwell point of interest according to the location data and the dwell point of interest corresponding to each real-time construction operation item type; and an indicator calculation subunit, used to perform a physical condition assessment of the construction personnel corresponding to each construction terminal according to the filtered indicator data, the unit time construction load increment and the dwell time, to obtain the corresponding physical load index.

[0039] In the process of comprehensively assessing the physical load indicators of construction workers, the status assessment unit 113 can first use the type query subunit to find the corresponding indicator requirement type based on the obtained real-time construction operation item type. Before searching, a correspondence table between real-time construction operation item types and indicator requirement types can be established in advance, allowing direct retrieval of the corresponding indicator requirement type based on the real-time construction operation item type. Then, the filtering subunit uses the indicator requirement type to extract indicator data from the physical indicator data, thereby filtering out multiple filter indicator data corresponding to the real-time construction operation item type. The incremental query subunit then finds the unit-time construction load increment corresponding to each real-time construction operation item type. Similarly, a correspondence table between the unit-time construction load increment and the real-time construction operation item type can be established in advance, facilitating the acquisition of the unit-time construction load increment. After obtaining the unit-time construction load increment, the duration query subunit can further perform a time search on the location data based on the dwelling interest points corresponding to the real-time construction operation item type, thereby finding the dwell time of construction workers at each dwelling interest point. Finally, the index calculation subunit combines the filtered index data with the incremental construction load per unit time and the duration of stay to assess the physical load index. This method allows for the filtering of index data based on the type of real-time construction task, reducing interference from other monitoring indicators unrelated to the type of real-time construction task, thus making the calculated physical load index more accurate. For example, during tunnel excavation, when calculating the physical load index, data such as blood oxygen saturation and heart rate are needed, but data such as detected body fat percentage are not required. Therefore, by removing interfering data, precise selection corresponding to each type of real-time construction task can be achieved, ensuring the accuracy of the calculated physical load index.

[0040] Preferably, each screening indicator data includes resting indicator data and real-time indicator data.

[0041] The index calculation subunit may further include: an index difference calculation module, used to calculate the difference between resting index data and real-time index data to obtain the index difference; a first index calculation module, used to calculate a first body load index based on the index difference and the load conversion factor corresponding to each index difference; a second index calculation module, used to calculate a second body load index based on the construction load increment per unit time and the dwell time; and an overlay calculation module, used to obtain the corresponding body load index based on the first body load index and the second body load index.

[0042] When calculating physical load indicators, the indicator calculation subunit can first use the indicator difference calculation module to calculate the difference between resting indicator data and real-time indicator data, thereby determining the situation where each indicator exceeds the resting state. Then, the first indicator calculation module can combine the indicator difference with the corresponding load conversion factor to convert the physical load indicator, thus obtaining the corresponding first physical load indicator. Then, the second indicator calculation module can use the unit-time construction load increment corresponding to each real-time construction task type, combined with the corresponding dwell time, to further derive the second physical load indicator brought about by the construction task type factor. Finally, based on multi-dimensional superposition of the first and second physical load indicators, the real-time physical load indicator of each construction worker can be accurately calculated. This allows for timely personnel replacement when the physical load of relevant construction workers is severe, ensuring personnel safety while effectively improving construction efficiency.

[0043] Preferably, the formula for calculating the body load index is:

[0044] ,

[0045] Indicates the number of data points for the selected criteria. This represents real-time indicator data. This represents resting index data. Indicates the load conversion factor. Indicates the number of real-time construction operation item types. This represents the sum of dwell times at all points of interest corresponding to each real-time construction task type. This represents the unit-time increase in construction load corresponding to each real-time construction operation item type.

[0046] By utilizing real-time indicator data and resting index data By performing difference calculations, the difference between each type of indicator data can be calculated. Then, combined with a pre-set load conversion factor used to convert the index difference to the load index. This allows us to derive the primary physical load index corresponding to each screening indicator. Then, all the screening index data are summed up to obtain the sum of the first physical load index, which is... For the increase in construction load per unit time It can be manually determined in advance based on the actual situation of each real-time construction task type, and the increase in construction load per unit time can be obtained. The value can also vary as construction time increases. Therefore, it can be based on the sum of dwell times at all points of interest corresponding to each real-time construction task type. Then, through integral calculation, the second body load index corresponding to each real-time construction operation item type is obtained. Then, by superimposing all real-time construction operation types, the sum of the second body load index is obtained. Finally, by summing the first physical load indicators... The sum of the second physical load index By performing superposition calculations, a comprehensive and accurate physical load index is obtained, which is... .

[0047] In the tunnel construction personnel management system of the present invention, the personnel allocation unit 114 includes: a first threshold detection subunit, used to perform a first index threshold detection on the target physical load index corresponding to the target construction terminal; a proximity index extraction subunit, used to obtain the proximity physical load index corresponding to the proximity construction terminal when the target physical load index reaches the first index threshold; a second threshold detection subunit, used to perform a second index threshold detection on the proximity physical load index, wherein the second index threshold is less than the first index threshold; a distance calculation subunit, used to obtain the distance value between the target construction terminal and the proximity construction terminal based on the first positioning data corresponding to the target construction terminal and the second positioning data corresponding to the proximity construction terminal when the proximity physical load index does not reach the second index threshold; and a distance selection subunit, used to select the proximity construction terminal corresponding to the minimum distance value as the personnel allocation data.

[0048] When generating personnel allocation data and dynamically allocating construction tasks, the personnel deployment module 114 can first perform threshold detection on the target physical load index corresponding to the target construction terminal through the first threshold detection subunit to determine whether the target physical load index is greater than the first threshold. If the target physical load index is greater than the first threshold, it indicates that the current construction personnel have a high physical load. The nearest index extraction subunit can then obtain the nearest physical load index corresponding to all nearby construction terminals. Next, the second threshold detection subunit performs a second threshold detection on the nearest physical load index. Furthermore, if the nearest physical load index does not reach the second threshold, the distance calculation subunit estimates the distance between the target construction terminal and nearby construction terminals based on the first positioning data corresponding to the target construction terminal and the second positioning data corresponding to nearby construction terminals. A distance threshold can be set to prevent problems such as excessively large distances leading to difficulties in personnel deployment. Therefore, when the distance value is less than the set distance threshold, the nearest construction terminal corresponding to the minimum distance value can be selected through the distance selection sub-unit as personnel allocation data, and the personnel allocation data can be sent to the corresponding construction terminal for tunnel construction personnel management. This can ensure that construction personnel with excessive physical burden can get rest while maximizing construction efficiency.

[0049] Please see Figure 2 The present invention also provides a method for managing tunnel construction personnel, comprising:

[0050] Step S10: Acquire positioning data and physical indicator data of multiple construction terminals through data acquisition unit 111;

[0051] Step S20: The status analysis unit 112 performs construction status analysis based on positioning data and body indicator data to obtain the real-time construction operation item type corresponding to each construction terminal;

[0052] Step S30: The condition assessment unit 113 assesses the physical condition of the construction workers at each construction terminal based on the real-time construction operation type, location data, and physical indicator data, and obtains the corresponding physical load index.

[0053] Step S40: The personnel allocation unit 114 dynamically allocates construction tasks based on physical load indicators to obtain personnel allocation data;

[0054] Step S50: Send personnel allocation data to the corresponding construction terminal through the data sending unit 115 for tunnel construction personnel management.

[0055] In summary, the tunnel construction personnel management system and method disclosed in this invention obtains the location data and physical indicator data of each construction worker's construction terminal during construction, and then analyzes the construction status based on the location data and physical indicator data to determine the real-time construction operation type of each construction terminal. After obtaining the real-time construction task types, the physical condition of each construction worker can be assessed by combining the location data and physical indicator data of the corresponding construction terminals. This yields corresponding physical load indicators, which determine the construction intensity of each worker during tunnel construction based on the real-time construction task type, working time, and physical indicator data. The physical load indicators of each worker can be accurately calculated, and intelligent monitoring and reassignment of workers performing high-intensity work can be achieved using these indicators. Matching appropriate personnel allocation data and sending it to the construction terminals of the assigned personnel effectively enables intelligent monitoring of the work status of each tunnel construction worker, intelligent load calculation, and intelligent reassignment. This improves the intelligent management system for tunnel construction workers, ensuring both their health and safety during construction while maintaining high efficiency. Furthermore, the aforementioned construction worker management system and method not only enable intelligent safety monitoring and management in tunnel construction but also in other high-altitude work scenarios, ensuring both construction quality and worker safety. Therefore, this invention effectively overcomes the shortcomings of existing technologies and possesses high industrial application value.

[0056] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in the present invention should still be covered by the claims of the present invention.

Claims

1. A tunnel construction personnel management system, characterized in that, include: The data acquisition unit is used to acquire location data and physical indicator data from multiple construction terminals. The status analysis unit is used to perform construction status analysis based on the positioning data and the body indicator data to obtain the real-time construction operation item type corresponding to each construction terminal. The condition assessment unit is used to assess the physical condition of the construction personnel corresponding to each construction terminal based on the real-time construction operation type, the positioning data, and the physical indicator data, and to obtain the corresponding physical load index. A personnel allocation unit is used to dynamically allocate construction tasks based on the aforementioned physical load indicators, thereby obtaining personnel allocation data; and The data sending unit is used to send the personnel allocation data to the corresponding construction terminal for tunnel construction personnel management. The state analysis unit includes: The point detection subunit is used to detect the coordinate stopping position of the positioning data in order to obtain the stopping point of interest. The data extraction subunit is used to extract indicator data from the body indicator data to obtain the point indicator data corresponding to the point of interest. The similarity comparison subunit is used to compare the similarity between the point index data and the benchmark index data corresponding to each of the construction operation items, and obtain multiple benchmark index data that reach a preset similarity with the point index data. The work item acquisition subunit is used to obtain similar work items corresponding to each construction terminal based on the benchmark index data. A matching query subunit is used to perform a process matching query based on the point of interest where each construction terminal stops, resulting in multiple matching construction processes, each of which includes multiple preset work items; and The work item comparison subunit is used to compare the matched construction procedure with similar work items corresponding to all the construction terminals to obtain the real-time construction work item type corresponding to each construction terminal. The task comparison subunit includes: The set assembly module is used to extract similar operation items corresponding to each construction terminal and form a set of similar operation items corresponding to all construction terminals. The matching calculation module is used to perform matching calculations on the similar work items in each set of similar work items and the preset work items corresponding to each work area in the matching construction process, so as to obtain the comprehensive matching degree corresponding to each set of similar work items. The set selection module is used to select the target similar operation item set corresponding to the maximum value in the comprehensive matching degree, and to use each of the similar operation items in the target similar operation item set as the real-time construction operation item type corresponding to different construction terminals; The matching calculation module includes: The judgment submodule is used to determine, for each of the work range areas, whether each preset work item in the work range area is consistent with the similar work item corresponding to the positioning data, and to count the first number of similar work items in the work range area that are consistent with the preset work item; The task item difference calculation submodule is used to obtain the task item difference value within the task range area based on the first total number of the preset task items and the second total number of the similar task items within the task range area; The matching percentage calculation submodule is used to obtain the matching percentage based on the first quantity and the first total quantity in the work area; and The comprehensive calculation submodule is used to obtain the comprehensive matching degree corresponding to each set of similar task items based on the task item difference value, the first matching degree coefficient corresponding to the task item difference value, the matching ratio, the second matching degree coefficient corresponding to the matching ratio, and the matching importance of each task range area. The formula for calculating the overall matching degree is: ； in, This represents the first number of matches between the corresponding preset task items and similar task items in each task range area. This indicates the first total number of preset work items in each work area. This represents the second total number of similar job items within each job scope area. This indicates the matching importance of each task range area. Indicates the number of work areas. express Time-based task item difference value The corresponding first matching degree coefficient, express Time-based task item difference value The corresponding first matching degree coefficient, Indicates the percentage of matches The corresponding second matching degree coefficient.

2. The tunnel construction personnel management system according to claim 1, characterized in that, The condition assessment unit includes: The type query subunit is used to find the corresponding indicator requirement type based on the real-time construction operation item type; The filtering subunit is used to filter the body indicator data according to the indicator requirement type to obtain multiple filtered indicator data corresponding to the real-time construction operation item type. The incremental query subunit is used to find the corresponding unit time construction load increment based on the real-time construction operation item type. The duration query subunit is used to find the dwell time of the construction terminal at each of the stated points of interest based on the location data and the dwell points of interest corresponding to each of the stated real-time construction operation types; and The index calculation subunit is used to assess the physical condition of construction workers at each construction terminal based on the filtered index data, the incremental construction load per unit time, and the dwell time, and to obtain the corresponding physical load index.

3. The tunnel construction personnel management system according to claim 2, characterized in that, Each of the aforementioned screening indicator data includes resting indicator data and real-time indicator data; The index calculation subunit includes: The indicator difference calculation module is used to calculate the difference between the resting indicator data and the real-time indicator data to obtain the indicator difference value. The first indicator calculation module is used to calculate the first body load indicator based on the indicator difference and the load conversion factor corresponding to each indicator difference. The second indicator calculation module is used to calculate a second body load indicator based on the incremental construction load per unit time and the dwell time; and The superposition calculation module is used to obtain the corresponding physical load index based on the first physical load index and the second physical load index.

4. The tunnel construction personnel management system according to claim 3, characterized in that, The formula for calculating the body load index is as follows: ， Indicates the number of data points for the selected criteria. This represents real-time indicator data. This represents resting index data. Indicates the load conversion factor. Indicates the number of real-time construction operation item types. This represents the sum of dwell times at all points of interest corresponding to each real-time construction task type. This represents the unit-time increase in construction load corresponding to each real-time construction operation item type.

5. The tunnel construction personnel management system according to claim 1, characterized in that, The personnel allocation unit includes: The first threshold detection subunit is used to perform first index threshold detection on the target body load index corresponding to the target construction terminal; The proximity indicator extraction subunit is used to obtain the proximity physical load indicator corresponding to the proximity construction terminal when the target physical load indicator reaches the first indicator threshold. The second threshold detection subunit is used to perform second index threshold detection on the adjacent body load index, wherein the second index threshold is less than the first index threshold. A distance calculation subunit is used to, when the nearby physical load index does not reach the second index threshold, calculate the distance between the target construction terminal and the nearby construction terminal based on the first positioning data corresponding to the target construction terminal and the second positioning data corresponding to the nearby construction terminal; and The distance selection subunit is used to select the nearest construction terminal corresponding to the minimum distance value as the personnel deployment data.

6. A management method applied to the tunnel construction personnel management system according to any one of claims 1-5, characterized in that, include: The data acquisition unit acquires location data and physical indicator data from multiple construction terminals. The status analysis unit performs construction status analysis based on the positioning data and the body indicator data to obtain the real-time construction operation item type corresponding to each construction terminal. The physical condition assessment unit assesses the physical condition of the construction workers at each construction terminal based on the real-time construction operation type, the location data, and the physical indicator data, and obtains the corresponding physical load index. The personnel allocation unit dynamically allocates construction tasks based on the physical load indicators to obtain personnel allocation data. The personnel allocation data is sent to the corresponding construction terminal through the data transmission unit for the management of tunnel construction personnel.

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