Intelligent monitoring device and method for prepressing process of road construction support
Through the intelligent monitoring device, the pre-pressure load of the cast-in-place box beam bracket is solved, and the problem that manual control cannot adjust the load strategy in real time is improved, the pre-pressure safety and efficiency are improved, and manual intervention is reduced.
Patent Information
- Application Number
- CN202410970593.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-07-19
- Publication Date
- 2024-12-27
- Estimated Expiration
- 2044-07-19
AI Technical Summary
In the prior art, manual control of cast-in-place box beam bracket prepression cannot be adjusted in real time, which may lead to excessive settlement, resulting in loss of stability of the bracket, reducing system reliability, and manual monitoring and control take time to reduce prepression. efficiency.
Provide an intelligent monitoring device for pre-pressure process of road construction brackets, including a pre-pressure load change trend determination module, a pre-pressure strategy adjustment module, a pre-pressure adjustment module, a time stamp acquisition module and an early warning module, to monitor load changes in real time and according to the pre-set strategy Adjust the pre-pressure strategy to avoid the settlement exceeding the threshold and improve pre-pressure efficiency and safety.
By monitoring and adjusting prepression loads in real time, we can avoid stent damage caused by uneven loads, improve prepression safety and efficiency, reduce human intervention, and reduce the workload of operators.
Smart Images

Figure CN119203713A_ABST
Abstract
Description
Technical Field
[0001] The present application belongs to the field of road construction, and specifically relates to an intelligent monitoring device and method for the pre-compression process of a road construction support. Background Art
[0002] In the current construction field, cast-in-place box girder technology is widely used due to its advantages such as light weight, large load-bearing capacity, uniform force, simple and efficient construction, and large span. However, in order to ensure the quality and safety of bridge construction, pre-stressing the cast-in-place box girder support has become a crucial technical link. In the prior art, when pre-stressing the cast-in-place box girder support, it is necessary to manually control the weight of each level of loading, and after each level of loading is completed, it is necessary to manually monitor the observation points and record the deformation and settlement data of the structure. However, when manually controlling the loading, it is impossible to adjust the pre-stressing strategy according to the load conditions in real time, which may cause the settlement after pre-stressing to be too high, causing the support to lose stability, thereby reducing the overall reliability of the system and increasing uncertainty and risks in future operations. In addition, manual control and monitoring require a lot of time, which reduces the pre-stressing efficiency. Summary of the invention
[0003] The present application provides an intelligent monitoring device for the preloading process of a road construction support, which solves the problem in the prior art that when the preloading of the loaded support is manually controlled, the preloading strategy cannot be adjusted in real time according to the load conditions, which may cause the settlement after preloading to be too high, causing the support to lose stability, thereby reducing the overall reliability of the system and increasing uncertainty and risks in future operations; and manual control and monitoring require a lot of time, thereby reducing the preloading efficiency.
[0004] In a first aspect, an embodiment of the present application provides an intelligent monitoring device for a road construction support preloading process, the device comprising: A preloading load variation trend determination module is used to preload the first region of the stent and the second region of the stent according to a preset preloading strategy, obtain a first preloading load variation trend of the first region of the stent and a second preloading load variation trend of the second region of the stent, and determine whether the preloading strategy needs to be adjusted according to the first preloading load variation trend, the second preloading load variation trend, a preset first preloading load variation rate threshold value, and a preset second preloading load variation rate threshold value; A preloading strategy adjustment module, for inputting the first preloading load variation trend and the second preloading load variation trend into a preset control prediction model to determine the stent preloading adjustment strategy if the preloading strategy needs to be adjusted; A pre-compression adjustment module, used to adjust the pre-compression of the first region of the stent and the second region of the stent according to the stent pre-compression adjustment strategy; A pre-compression monitoring module, used for obtaining in real time a first pre-compression load of a first area of the support and a second pre-compression load of a second area of the support, stopping the pre-compression work on the first area of the support when the first pre-compression load reaches a preset first load level, and stopping the pre-compression work on the second area of the support when the second pre-compression load reaches a preset second load level; A timestamp acquisition module is used to acquire the current system timestamp in real time, and determine whether a preset settlement amount collection time interval has been reached according to the current system timestamp and the stop preloading timestamp; The early warning module is used to collect the first settlement amount of the first area of the bracket and the second settlement amount of the second area of the bracket if the preset settlement amount collection time interval is reached. If the first settlement amount and / or the second settlement amount exceeds the preset settlement amount threshold, an alarm message is sent to the control center.
[0005] Furthermore, the device further comprises a cyclic pre-pressing module, and the cyclic pre-pressing module is used for: If the first settlement amount and the second settlement amount do not exceed the preset settlement amount threshold, the first area of the bracket and the second area of the bracket are pre-stressed step by step, and the first pre-stressing load and the second pre-stressing load are continuously obtained and updated. When the updated first pre-stressing load and the second pre-stressing load reach the corresponding level, the pre-stressing is stopped, and the first settlement amount of the first area of the bracket and the second settlement amount of the second area of the bracket are obtained each time the preset settlement amount collection time interval is reached. If the first settlement amount and the second settlement amount do not exceed the preset settlement amount threshold, the first area of the bracket and the second area of the bracket continue to be pre-stressed until the last level of bracket pre-stressing of the first area of the bracket and the second area of the bracket is completed.
[0006] Furthermore, the preloading strategy adjustment module is used to: Determine a first timestamp of each first preset time point of the first preload change trend and a corresponding first preload change rate, and determine a second timestamp of each second preset time point of the second preload change trend and a corresponding second preload change rate; Determine a first future preload change trend of the first region of the stent and a second future preload change trend of the second region of the stent according to the first timestamp, the first preload change rate, the second timestamp and the second preload change rate; The stent preload adjustment strategy is determined according to the first future preload change trend and the second future preload change trend.
[0007] Furthermore, the preloading strategy adjustment module is also used for: Determine a third preload corresponding to each third preset time point in the first future preload variation trend, and determine a fourth preload corresponding to each fourth preset time point in the second future preload variation trend; Acquire the stent design information, and calculate the third settlement of the first area of the stent corresponding to each third preset time point according to the stent design information, the third preload, the fourth preload and the preset settlement calculation formula, and calculate the fourth settlement of the second area of the stent corresponding to each fourth preset time point; Determine a first future settlement change trend of a first region of the bracket according to the third settlement amount, and determine a second future settlement change trend of a second region of the bracket according to the fourth settlement amount; A stent preload adjustment strategy is determined according to the first future settlement amount change trend and the second future settlement amount change trend.
[0008] Furthermore, the preloading strategy adjustment module is also used for: Determine whether there is a third preset time point in the first future sedimentation change trend that exceeds a preset sedimentation threshold, and determine whether there is a fourth preset time point in the second future sedimentation change trend that exceeds a preset sedimentation threshold; If the third preset time point and / or the fourth preset time point exist, determining the time period corresponding to the third preset time point and / or the fourth preset time point; If the time period is a short time period, the fifth preload that needs to be reduced in the first area of the stent and / or the sixth preload that needs to be reduced in the second area of the stent are calculated according to the stent design information, the third settlement amount and / or the fourth settlement amount corresponding to the third preset time point and / or the fourth preset time point, the preset settlement amount threshold and the preset settlement amount calculation formula; The bracket preload adjustment strategy is determined according to the fifth preload and / or the sixth preload.
[0009] Furthermore, the preloading strategy adjustment module is also used for: If the time period is a long time period, the first historical settlement change amount of each period of the first area of the bracket and the second historical settlement change amount of each period of the second area of the bracket are obtained, and the first number of periods that need to be extended in the first area of the bracket and / or the second number of periods that need to be extended in the second area of the bracket are determined according to the first historical settlement change amount, the second historical settlement change amount, the third settlement amount and / or the fourth settlement amount corresponding to the third preset time point and / or the fourth preset time point, and the preset settlement amount threshold; A stent preload adjustment strategy is determined according to the first cycle number and the second cycle number.
[0010] Furthermore, the preset settlement calculation formula is: ; in, is the third settlement amount or the fourth settlement amount; P is the third preload or the fourth preload; L is the length of the first area of the bracket or the length of the second area of the bracket; E is the elastic modulus of the material of the first area of the bracket or the elastic modulus of the material of the second area of the bracket; I is the moment of inertia of the cross-section of the first area of the bracket or the moment of inertia of the cross-section of the second area of the bracket.
[0011] Furthermore, the preload change trend determination module is used to: The crane is controlled to pre-press the first area of the support according to a preset pre-pressing strategy, and the water pump is controlled to pre-press the second area of the support according to the preset pre-pressing strategy.
[0012] Furthermore, the training process of the preset regulation prediction model includes: Obtain historical stent preload adjustment records, and determine historical short-term adjustment records and historical long-term adjustment records based on the historical stent preload adjustment records; Determine the first historical load change trend, the first historical preload, the first historical preset time point, the corresponding first historical preload change rate, the first historical settlement, the first historical settlement change trend, and the first historical preload adjustment value of the first area of the bracket according to the historical short-time period adjustment record, and determine the second historical load change trend, the second historical preload, the second historical preset time point, the corresponding second historical preload change rate, the second historical settlement, the second historical settlement change trend, and the second historical preload adjustment value of the second area of the bracket; Determine the third historical load change trend, the third historical preload, the third historical preset time point, the corresponding third historical preload change rate, the third historical settlement, the third historical settlement change trend, the first historical settlement change, and the first historical cycle number adjustment value of the first area of the bracket according to the historical long-term period adjustment record, and determine the fourth historical load change trend, the fourth historical preload, the fourth historical preset time point, the corresponding fourth historical preload change rate, the fourth historical settlement, the fourth historical settlement change trend, the second historical settlement change, and the second historical preload adjustment value of the second area of the bracket; Creating a first data set based on historical short-term period adjustment records, and creating a second data set based on historical long-term period adjustment records; A regulation prediction model is constructed, and the regulation prediction model is trained according to the stent design information, the first data set, and the second data set until the regulation prediction model reaches a preset model determination standard.
[0013] In a second aspect, an embodiment of the present application provides a method for intelligently monitoring a pre-pressing process of a road construction support, the method comprising: Pre-stressing the first area of the stent and the second area of the stent according to a preset pre-stressing strategy, obtaining a first pre-stressing load change trend of the first area of the stent and a second pre-stressing load change trend of the second area of the stent, and determining whether the pre-stressing strategy needs to be adjusted according to the first pre-stressing load change trend, the second pre-stressing load change trend, a preset first pre-stressing load change rate threshold, and a preset second pre-stressing load change rate threshold; If the preloading strategy needs to be adjusted, the first preloading load variation trend and the second preloading load variation trend are input into a preset control prediction model to determine the stent preloading adjustment strategy; Performing pre-compression adjustment on the first region of the stent and the second region of the stent according to the stent pre-compression adjustment strategy; Acquire a first pre-compression load of a first region of the support and a second pre-compression load of a second region of the support in real time, stop pre-compression work on the first region of the support when the first pre-compression load reaches a preset first load level, and stop pre-compression work on the second region of the support when the second pre-compression load reaches a preset second load level; Acquire the current system timestamp in real time, and determine whether the preset settlement amount collection time interval has been reached according to the current system timestamp and the preloading stop timestamp; If the preset settlement collection time interval is reached, the first settlement of the first area of the bracket and the second settlement of the second area of the bracket are collected. If the first settlement and / or the second settlement exceeds the preset settlement threshold, an alarm message is sent to the control center.
[0014] In an embodiment of the present application, a preload change trend determination module is used to preload the first area of the bracket and the second area of the bracket according to a preset preload strategy, obtain a first preload change trend of the first area of the bracket and a second preload change trend of the second area of the bracket, and determine whether the preload strategy needs to be adjusted according to the first preload change trend, the second preload change trend, the preset first preload change rate threshold and the preset second preload change rate threshold; a preload strategy adjustment module is used to input the first preload change trend and the second preload change trend into a preset control prediction model to determine the bracket preload adjustment strategy if the preload strategy needs to be adjusted; a preload adjustment module is used to adjust the preload of the first area of the bracket and the second area of the bracket according to the bracket preload adjustment strategy. ; Preloading monitoring module, used to obtain the first preloading load of the first area of the support and the second preloading load of the second area of the support in real time, stop the preloading work on the first area of the support when the first preloading load reaches the preset first load level, and stop the preloading work on the second area of the support when the second preloading load reaches the preset second load level; timestamp acquisition module, used to obtain the current system timestamp in real time, and determine whether the preset settlement collection time interval has been reached according to the current system timestamp and the stop preloading timestamp; early warning module, used to collect the first settlement of the first area of the support and the second settlement of the second area of the support if the preset settlement collection time interval has been reached, and send an alarm message to the control center if the first settlement and / or the second settlement exceeds the preset settlement threshold. Through the above-mentioned intelligent monitoring device for the preloading process of road construction support, the preloading load change trend is monitored in real time, and the preloading strategy can be quickly responded and adjusted to avoid damage to the support caused by uneven load, thereby improving the safety of preloading. It also improves the preloading efficiency, reduces human intervention, and reduces the workload of operators. BRIEF DESCRIPTION OF THE DRAWINGS
[0015] Figure 1 It is a structural schematic diagram of an intelligent monitoring device for the pre-compression process of a road construction support provided in Embodiments 1, 2 and 3 of the present application; Figure 2 It is a flow chart of the intelligent monitoring method for the pre-compression process of a road construction support provided in the fourth embodiment of the present application. DETAILED DESCRIPTION
[0016] In order to make the purpose, technical scheme and advantages of the present application clearer, the specific embodiments of the present application are further described in detail below in conjunction with the accompanying drawings. It is understood that the specific embodiments described herein are only used to explain the present application, rather than to limit the present application. It should also be noted that, for the convenience of description, only part of the present application is shown in the accompanying drawings, but not all of the content. Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flow charts. Although the flow chart describes each operation (or step) as a sequential process, many of the operations therein can be implemented in parallel, concurrently or simultaneously. In addition, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but it can also have additional steps not included in the accompanying drawings. The process can correspond to a method, a function, a procedure, a subroutine, a subprogram, etc.
[0017] The following will be combined with the drawings in the embodiments of the present application to clearly describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments in the present application belong to the scope of protection of this application.
[0018] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.
[0019] The intelligent monitoring device for the pre-compression process of a road construction support provided in the embodiment of the present application is described in detail below with reference to the accompanying drawings through specific embodiments and their application scenarios.
[0020] Embodiment 1 Figure 1 This is a schematic diagram of the structure of an intelligent monitoring device for the pre-compression process of a road construction support provided in Example 1 of the present application. The device comprises: A preloading load variation trend determination module 101 is used to preload the first region of the stent and the second region of the stent according to a preset preloading strategy, obtain a first preloading load variation trend of the first region of the stent and a second preloading load variation trend of the second region of the stent, and determine whether the preloading strategy needs to be adjusted according to the first preloading load variation trend, the second preloading load variation trend, a preset first preloading load variation rate threshold value, and a preset second preloading load variation rate threshold value; A preloading strategy adjustment module 102, for inputting the first preloading load variation trend and the second preloading load variation trend into a preset control prediction model to determine the stent preloading adjustment strategy if the preloading strategy needs to be adjusted; A pre-compression adjustment module 103, configured to adjust the pre-compression of the first region of the stent and the second region of the stent according to the stent pre-compression adjustment strategy; The pre-compression monitoring module 104 is used to obtain in real time a first pre-compression load of the first area of the support and a second pre-compression load of the second area of the support, and to stop the pre-compression work on the first area of the support when the first pre-compression load reaches a preset first load level, and to stop the pre-compression work on the second area of the support when the second pre-compression load reaches a preset second load level; The timestamp acquisition module 105 is used to acquire the current system timestamp in real time, and determine whether the preset settlement amount collection time interval has been reached according to the current system timestamp and the preloading stop timestamp; The early warning module 106 is used to collect the first settlement of the first area of the support and the second settlement of the second area of the support if the preset settlement collection time interval is reached, and send an alarm message to the control center if the first settlement and / or the second settlement exceeds the preset settlement threshold. First, the use scenario of this solution can be a scenario in which it is determined whether the preload needs to be adjusted according to the change trend of the preload load when the first area and the second area of the support are preloaded.
[0021] Based on the above usage scenarios, it can be understood that the executor of the present application can be the intelligent monitoring device for the pre-compression process of the road construction support, and no excessive limitations are made here.
[0022] In this solution, the preset pre-stressing strategy may be a plan and method for pre-stressing the first region and the second region of the stent, and may specifically include specific steps, time schedule, pressure range, and monitoring frequency of pre-stressing, etc. The purpose of the pre-stressing strategy is to ensure that the stent can stably support the structure and avoid excessive settlement or deformation.
[0023] The first support area may be a part of the support structure supporting the web and flange bottom formwork of the box beam, which bears a large vertical load during the construction of the box beam.
[0024] The second area of the support can be a part of the support structure that supports the bottom plate. The bottom plate is usually located at the bottom of the structure and bears all the loads from the upper structure.
[0025] The first preload variation trend may be a variation of the preload of the first region of the bracket over time. Specifically, it may be represented by a series of data points (timestamps and corresponding preload values) to form a curve that varies over time.
[0026] The second pre-load variation trend may be a variation of the pre-load in the second region of the stent over time. Specifically, it may be represented by a series of data points to form a curve that varies over time.
[0027] The first preload change rate threshold may be an allowable range of change rates of the preload in the first region of the stent during real-time monitoring.
[0028] The second preload change rate threshold may be an allowable change rate range of the preload in the second region of the stent during real-time monitoring.
[0029] According to the preset prestressing strategy, the first area (such as the box girder web and wing plate bottom mold) and the second area (such as the bottom plate) of the bracket can be prestressed, the prestressing equipment can be started, and the prestressing load can be gradually applied. Use sensors and monitoring equipment in real time to obtain the prestressing load data of the first area and the second area of the bracket, record the load changes at each time point, and form the first prestressing load change trend and the second prestressing load change trend. Compare the prestressing load change trend with the preset first prestressing load change rate threshold and the second prestressing load change rate threshold to determine whether the load changes in the first area and the second area of the bracket are within the threshold range. If the load change trend exceeds the preset change rate threshold, it is determined that the prestressing strategy needs to be adjusted.
[0030] The preset control prediction model can be an algorithm model based on historical data and real-time data, which is used to predict the future load change trend and determine the preload adjustment strategy based on the prediction results. Specifically, it can include time series models, machine learning models and deep learning models. For example, the time series model can use historical load data and real-time data to predict the load change trend in the future. The machine learning model can train the model and output the recommended preload adjustment strategy by inputting the current load change trend.
[0031] The stent preloading adjustment strategy can be a specific measure to adjust the preloading process according to the prediction results of the control prediction model. These measures are intended to ensure that the stent operates within a safe range and optimize its operating efficiency. Specifically, it can include adjusting the preloading pressure, increasing or decreasing the preloading pressure of the stent to cope with future load changes. Adjusting the preloading cycle and changing the preloading time interval can disperse the load and reduce the instantaneous pressure on the stent.
[0032] The first preload change trend and the second preload change trend can be input into a preset control prediction model. Specifically, the time series model can predict future load change trends based on historical and current data. The machine learning model can output adjustment strategy recommendations through a trained algorithm. Then analyze the output of the control prediction model to determine the future preload change trend and determine whether the preload strategy needs to be adjusted. Based on the prediction results, formulate a specific preload adjustment strategy, which can specifically include adjusting the preload, for example, reducing the preload in the first area by 10% and reducing the preload in the second area by 15%. Adjust the preload cycle, for example, extend the preload cycle in the first area by 5 minutes and extend the preload cycle in the second area by 10 minutes.
[0033] An instruction can be sent to the automatic prestressing device to adjust the prestressing force of the first area and the second area of the bracket. For example, the prestressing force in the first area is reduced according to the strategy. For example, the prestressing force is adjusted from 500kN to 450kN. The prestressing force in the second area is reduced according to the strategy. For example, the prestressing force is adjusted from 600kN to 510kN. Or an instruction can be sent to the automatic prestressing device to adjust the prestressing cycle. According to the strategy, the prestressing cycle is extended. For example, the cycle is adjusted from 20 minutes to 25 minutes. According to the strategy, the prestressing cycle is extended. For example, the cycle is adjusted from 30 minutes to 40 minutes.
[0034] The first pre-compression load may be a real-time load value borne by the first region of the support during the pre-compression process. Specifically, the region may include the box beam web and the wing plate bottom mold.
[0035] The second pre-compression load may be a real-time load value borne by the second region of the support during the pre-compression process. The region generally includes the support bottom plate.
[0036] Load sensors can be installed at key locations of the first area and the second area of the support to ensure that the load in the area can be accurately measured. A real-time data acquisition system is established to transmit the load data measured by the sensor to the central control system in real time. The central control system continuously monitors and records the load changes in the first area and the second area of the support to ensure that the first preload and the second preload can be obtained in time. The system compares the first preload and the second preload with the preset first and second load levels. When the system detects that the first preload of the first area of the support reaches the preset first load level, and the second preload reaches the preset second load level, it automatically sends a command to stop preloading to the preloading equipment in the first area to immediately stop the preloading work.
[0037] The current system timestamp may refer to the current time point of the system during the settlement monitoring process. Specifically, it may be expressed in the form of date and time, for example: 2024-06-20 14:35:26.
[0038] The preset settlement collection time interval may refer to the time interval between the completion of the stent preloading and the next settlement data collection. In this solution, after each level of loading is completed, the next level of loading should be stopped first, and the stent settlement should be monitored once every 12 hours. Therefore, the preset settlement collection time interval may be 12 hours.
[0039] You can use the system's built-in clock function to get the current timestamp and set a preset settlement collection time interval. Calculate the time difference between the current timestamp and the stop preloading timestamp in real time, and compare whether the time difference reaches the preset collection time interval.
[0040] The first settlement amount may be the vertical displacement of the first region of the support within a preset time interval, reflecting the vertical settlement change of the region caused by the load during the pre-compression process.
[0041] The second settlement amount may be the vertical displacement of the second region of the support within a preset time interval, reflecting the vertical settlement change of the region caused by the load during the pre-compression process.
[0042] The preset settlement threshold may be a pre-set safety standard, indicating the maximum settlement allowed in each region of the stent during the preloading process. Exceeding the threshold may cause instability or damage to the stent structure.
[0043] The alarm information can be a notification message automatically sent by the system to the control center when the settlement amount of the first area or the second area of the support exceeds the preset settlement amount threshold. This information is used to remind the operator that there may be safety hazards in the support and immediate measures need to be taken. Specifically, it can include preloading system identification information, such as system ID or location, specific settlement amount exceeding the threshold (first settlement amount or second settlement amount) and corresponding timestamp.
[0044] The control center may be a central system responsible for monitoring and managing the support preloading and settlement data. Specifically, it may be a computer system that integrates data acquisition, processing and alarm functions.
[0045] High-precision settlement sensors can be installed at key locations in the first and second areas of the bracket to ensure accurate measurement of settlement, establish a real-time data acquisition system, and transmit the settlement data measured by the sensor to the central control system in real time. Within a preset time interval, the system automatically collects settlement data in the first and second areas of the bracket, records the first and second settlements, and compares the settlement data obtained in real time with the preset settlement threshold. If the first and / or second settlements exceed the preset settlement threshold, the system will trigger an alarm mechanism and automatically generate an alarm message, including the specific settlement amount that exceeds the standard and the corresponding timestamp. The alarm message can be sent to the control center via wireless communication technology.
[0046] In an embodiment of the present application, a pre-stress load change trend determination module is used to pre-stress the first area of the bracket and the second area of the bracket according to a preset pre-stress strategy, obtain a first pre-stress load change trend of the first area of the bracket and a second pre-stress load change trend of the second area of the bracket, and determine whether the pre-stress strategy needs to be adjusted according to the first pre-stress load change trend, the second pre-stress load change trend, the preset first pre-stress load change rate threshold and the preset second pre-stress load change rate threshold; a pre-stress strategy adjustment module is used to input the first pre-stress load change trend and the second pre-stress load change trend into a preset control prediction model to determine the bracket pre-stress adjustment strategy if the pre-stress strategy needs to be adjusted; a pre-stress adjustment module is used to adjust the pre-stress of the first area of the bracket and the second area of the bracket according to the bracket pre-stress adjustment strategy. ; Preloading monitoring module, used to obtain the first preloading load of the first area of the support and the second preloading load of the second area of the support in real time, stop the preloading work on the first area of the support when the first preloading load reaches the preset first load level, and stop the preloading work on the second area of the support when the second preloading load reaches the preset second load level; timestamp acquisition module, used to obtain the current system timestamp in real time, and determine whether the preset settlement collection time interval has been reached according to the current system timestamp and the stop preloading timestamp; early warning module, used to collect the first settlement of the first area of the support and the second settlement of the second area of the support if the preset settlement collection time interval has been reached, and send an alarm message to the control center if the first settlement and / or the second settlement exceeds the preset settlement threshold. Through the above-mentioned intelligent monitoring device for the preloading process of road construction support, the preloading load change trend is monitored in real time, and the preloading strategy can be quickly responded and adjusted to avoid damage to the support caused by uneven load, thereby improving the safety of preloading. It also improves the preloading efficiency, reduces human intervention, and reduces the workload of operators.
[0047] On the basis of the above technical solution, optionally, the device further comprises a cyclic pre-pressing module, and the cyclic pre-pressing module is used for: If the first settlement amount and the second settlement amount do not exceed the preset settlement amount threshold, the first area of the bracket and the second area of the bracket are pre-stressed step by step, and the first pre-stressing load and the second pre-stressing load are continuously obtained and updated. When the updated first pre-stressing load and the second pre-stressing load reach the corresponding level, the pre-stressing is stopped, and the first settlement amount of the first area of the bracket and the second settlement amount of the second area of the bracket are obtained each time the preset settlement amount collection time interval is reached. If the first settlement amount and the second settlement amount do not exceed the preset settlement amount threshold, the first area of the bracket and the second area of the bracket continue to be pre-stressed until the last level of bracket pre-stressing of the first area of the bracket and the second area of the bracket is completed.
[0048] In this scheme, according to the preset preloading strategy, the initial preloading operation is performed on the first area and the second area of the bracket, and the first preloading load change trend of the first area of the bracket and the second preloading load change trend of the second area of the bracket are continuously obtained. When the preset settlement collection time interval is reached, the first settlement of the first area of the bracket and the second settlement of the second area of the bracket are collected. The first settlement and the second settlement are compared with the preset settlement threshold. If the settlement does not exceed the threshold, the next level of preloading operation is performed on the first area and the second area of the bracket, and the first preloading load and the second preloading load are continuously obtained and updated. When the updated first preloading load and the second preloading load reach the corresponding level, the preloading is stopped. Every time the preset settlement collection time interval is reached, the above steps are repeated to collect a new round of settlement data, and it is determined whether to perform the next level of preloading operation according to the preset settlement threshold. If the settlement is found to exceed the preset threshold at any time, the current preloading operation is stopped, and an alarm message is sent to the control center to ensure timely response.
[0049] In this solution, through the method of step-by-step preloading and settlement monitoring, the preloading operation of the first and second regions of the stent can be completed step by step on the premise that the settlement does not exceed the preset threshold, thereby ensuring the stability and safety of the stent.
[0050] On the basis of the above technical solution, optionally, the preload change trend determination module is used to: The crane is controlled to pre-press the first area of the support according to a preset pre-pressing strategy, and the water pump is controlled to pre-press the second area of the support according to the preset pre-pressing strategy.
[0051] In this solution, the crane can be a mechanical device used for lifting, handling and transporting materials, and can move and place heavy objects through a hook or other grabbing tools.
[0052] The water pump may be a mechanical device for conveying liquid, driven by an electric motor or other power source to achieve the flow and pressurization of the liquid. During the pre-compression process of the bracket, the water pump is used to fill the water bag in the second area of the bracket with water to apply the pre-compression load.
[0053] The preset preloading strategy may be to automatically control the crane to lift the steel bars so that the first area of the bracket reaches the corresponding load level, and automatically control the water pump to fill the water bag in the second area of the bracket with water for preloading to reach the corresponding level.
[0054] The preset preloading strategy can be transmitted to the automatic control system through wireless communication technology, and the automatic control system can control the crane to lift and install the steel bars to ensure that the preloading load is applied in place. The water pump is controlled to fill the water bag with water for preloading to ensure that the preloading load is evenly distributed.
[0055] In this solution, the first area and the second area of the bracket are pre-pressed by automatically controlling the crane and the water pump, which can improve the pre-pressing efficiency and reduce labor costs.
[0056] Embodiment 2 Figure 1 Schematic diagram of the structure of the intelligent monitoring device for the pre-compression process of the road construction support provided in the second embodiment of the present application. Figure 1 As shown, specifically including the following: The preloading strategy adjustment module 102 is used for: Determine a first timestamp of each first preset time point of the first preload change trend and a corresponding first preload change rate, and determine a second timestamp of each second preset time point of the second preload change trend and a corresponding second preload change rate; Determine a first future preload change trend of the first region of the stent and a second future preload change trend of the second region of the stent according to the first timestamp, the first preload change rate, the second timestamp and the second preload change rate; The stent preload adjustment strategy is determined according to the first future preload change trend and the second future preload change trend.
[0057] In this solution, the first preset time point may be a preset time sequence, which is used to mark the moment when the preloading load needs to be recorded during the preloading process. These time points may be evenly distributed, for example, recorded once every certain period of time.
[0058] The first timestamp can be a timestamp of the current system time obtained at each first preset time point. The timestamp records the exact moment of data collection for subsequent data analysis and processing.
[0059] The first preload change rate may be the preload change rate at each first preset time point. The change rate may be calculated by comparing the current preload with the preload at the previous time point. Specifically, the following formula may be used for calculation: ; The second preset time point may be a preset time sequence for recording the change of the preload of the second region of the stent. These time points may be the same as or different from the first preset time point.
[0060] The second timestamp can also obtain the timestamp of the current system time at each second preset time point. These timestamps mark the real-time data acquisition moment of the preload of the second area of the bracket.
[0061] The second preload change rate may be the preload change rate at each second preset time point, and may be specifically calculated using the following formula: ; The process of setting the preset time points includes determining the number of first preset time points and second preset time points and the intervals between them. The setting of these time points is based on actual needs and preloading strategy considerations, and needs to be frequent enough to capture the change trend of the stent preloading load. The first preset time point and the second preset time point can be determined according to engineering design requirements or monitoring requirements to ensure that the deformation and load changes of the stent structure can be effectively recorded and monitored during the preloading process.
[0062] At each preset time point, the system obtains the timestamp of the current system time and records the preload value of the current bracket. The timestamp records the exact moment of data acquisition, while the preload value indicates the magnitude of the preload borne by the bracket at that moment. Subsequently, the rate of change of the preload can be calculated for the preload value recorded at each time point. This calculation is done by comparing the difference between the preload at the current time point and the preload at the previous time point.
[0063] The first future preload change trend can represent the predicted change of the preload in the first region of the stent over time. If the first preload change rate is a positive number, it indicates that the preload in the first region of the stent will gradually increase; conversely, if the change rate is a negative number, it indicates that the preload will gradually decrease. The timestamp determines the starting point, and the change rate determines the amount of change in the load per time unit, thereby determining the predicted load change trend.
[0064] The second future preload change trend can describe the predicted change of the preload of the second region of the stent over time. According to the second timestamp and the second preload change rate, the increase or decrease trend of the preload of the second region of the stent in the future can be predicted. Similar to the first region, the timestamp determines the starting point, and the change rate determines the change amount of the load in each time unit.
[0065] Based on the first timestamp and the first preload change rate, the future preload change trend of the first area of the stent can be predicted. The timestamp determines the starting point, and the change rate determines the amount of change in the load within each time unit. By accumulating these changes, the load changes in the same time unit in the future can be predicted. For example, if the first preload change rate is a positive number, the preload in the first area of the stent will gradually increase; if the change rate is a negative number, the preload will gradually decrease. Similarly, using the second timestamp and the second preload change rate, the future preload change trend of the second area of the stent can be predicted. The prediction process for the second area is similar to that for the first area. According to different combinations of timestamps and change rates, the increase or decrease trend of the preload can be determined.
[0066] By analyzing the first future preload change trend and the second future preload change trend, the expected change direction and rate of the preload in the future can be understood. If the prediction shows that the preload in the first area or the second area will increase significantly, it may be necessary to consider increasing the current preload to ensure that the support can maintain the stability and safety of the structure when the load changes in the future. On the contrary, if the prediction shows that the preload will decrease, it may be necessary to gradually reduce the current preload to avoid unnecessary waste of resources or excessive preload of the support structure.
[0067] In this solution, by real-time monitoring and analyzing the changing trend of the preload, the preload strategy of the support can be adjusted in time to ensure that the support is always in a safe preload state during operation, which can effectively prevent structural damage caused by load changes.
[0068] On the basis of the above technical solution, optionally, the preloading strategy adjustment module is further used to: Determine a third preload corresponding to each third preset time point in the first future preload variation trend, and determine a fourth preload corresponding to each fourth preset time point in the second future preload variation trend; Acquire the stent design information, and calculate the third settlement of the first area of the stent corresponding to each third preset time point according to the stent design information, the third preload, the fourth preload and the preset settlement calculation formula, and calculate the fourth settlement of the second area of the stent corresponding to each fourth preset time point; Determine a first future settlement change trend of a first region of the bracket according to the third settlement amount, and determine a second future settlement change trend of a second region of the bracket according to the fourth settlement amount; A stent preload adjustment strategy is determined according to the first future settlement amount change trend and the second future settlement amount change trend.
[0069] In this solution, the third preset time point may be a preset time point in the first future preload change trend, which is used to monitor and adjust the preload, and may be the same as or different from the first preset time point.
[0070] The third pre-compression load is a pre-compression force or load applied to the bracket at a third preset time point.
[0071] The fourth preset time point may be a preset time point in the second future preload change trend, and may be the same as or different from the second preset time point.
[0072] The fourth pre-compression load may be a pre-compression force or load applied to the stent at a fourth preset time point.
[0073] The support design information may include the support's geometric parameters (such as size and shape), material properties (such as strength and elastic modulus), load requirements (such as preload and maximum load capacity), etc. This information is the basic data necessary for calculating the support preload and settlement.
[0074] The design information of the stent can be obtained from the database, and the third settlement of the first area of the stent corresponding to each third preset time point and the fourth settlement of the second area of the stent corresponding to each fourth preset time point can be calculated according to the preset third preload and fourth preload and the preset settlement calculation formula. These calculations are based on the elastic properties of the stent material and the applied preload to estimate the settlement of the stent within a predetermined time. Subsequently, the first future settlement change trend of the first area of the stent is determined according to the third settlement, and the second future settlement change trend of the second area of the stent is determined according to the fourth settlement. These trends reflect the settlement of the stent that is expected to occur under the preload, and are key indicators for predicting stent performance and demand adjustment. Finally, a stent preload adjustment strategy is formulated based on the first future settlement change trend and the second future settlement change trend. For example, if the predicted settlement exceeds the design requirements, it may be necessary to adjust the preload or the preload time point to ensure that the stent meets the design performance requirements during use.
[0075] In this solution, by calculating and predicting the settlement change trends corresponding to the third and fourth preset time points, it is possible to understand in advance the settlement conditions that the bracket may encounter in actual use, so as to take necessary adjustment measures.
[0076] On the basis of the above technical solution, optionally, the preloading strategy adjustment module is further used to: Determine whether there is a third preset time point in the first future sedimentation change trend that exceeds a preset sedimentation threshold, and determine whether there is a fourth preset time point in the second future sedimentation change trend that exceeds a preset sedimentation threshold; If the third preset time point and / or the fourth preset time point exist, determining the time period corresponding to the third preset time point and / or the fourth preset time point; If the time period is a short time period, the fifth preload that needs to be reduced in the first area of the stent and / or the sixth preload that needs to be reduced in the second area of the stent are calculated according to the stent design information, the third settlement amount and / or the fourth settlement amount corresponding to the third preset time point and / or the fourth preset time point, the preset settlement amount threshold and the preset settlement amount calculation formula; The bracket preload adjustment strategy is determined according to the fifth preload and / or the sixth preload.
[0077] In this solution, the time period can be a segment or interval of time, which is used to divide the time span between different stages or events. Specifically, it can include two situations: a short time period and a long time period. A time node can be preset. Before this time node, it is a short time period, and after this time node, it is a long time period.
[0078] The short time period may be a relatively short period of time. For example, the periods in which all preset time points within 4 days ago are short time periods.
[0079] A long period of time refers to a longer period of time. For example, the period in which all preset time points after 4 days are located is a long period of time.
[0080] The preset settlement threshold may be a settlement limit value pre-set in engineering design or prediction. When the actual settlement of the support reaches or exceeds this threshold, corresponding measures need to be taken to adjust the support structure or preloading strategy to ensure the safety and stability of the structure.
[0081] The fifth pre-compression load may refer to a pre-compression load of the first region of the stent that needs to be reduced within a short period of time to cope with abnormal settlement or situations where the settlement exceeds a threshold.
[0082] The sixth pre-compression load may refer to the pre-compression load of the second region of the stent that needs to be reduced within a short period of time, and is also used to deal with abnormal settlement or situations where the settlement exceeds a threshold.
[0083] The first future settlement change trend can be checked to find out whether the settlement at the third preset time point exceeds the preset settlement threshold. Check the second future settlement change trend to find out whether the settlement at the fourth preset time point exceeds the preset settlement threshold. Determine the time period in which these exceeded third preset time points and / or fourth preset time points are located. The time period is divided into short time periods and long time periods, which are usually used to distinguish between future recent data and data after a long time in the future. If these exceeded time points are in a short time period, the preload that needs to be reduced is calculated based on the design information of these brackets, the settlement at the time point, the preset settlement threshold, and the preset settlement calculation formula. The exceeded settlement at the third preset time point corresponds to the fifth preload that needs to be reduced in the first area of the bracket. The exceeded settlement at the fourth preset time point corresponds to the sixth preload that needs to be reduced in the second area of the bracket. According to the calculated fifth preload and / or sixth preload, the specific preload adjustment amount is determined. If the fifth preload needs to be reduced in the first area of the stent, the preload is gradually reduced in the subsequent preloading process until the new target load is reached. Similarly, if the sixth preload needs to be reduced in the second area of the stent, the preload is gradually reduced in the subsequent preloading process until the new target load is reached. The fifth preload and / or the sixth preload are combined into a stent preloading adjustment strategy.
[0084] In this solution, by real-time monitoring and adjusting the preloading load, adjustments can be made according to the specific trend of settlement changes, which can ensure a more accurate preloading process and avoid excessive or insufficient preloading. It can also effectively control the settlement of each area of the support, maintain the overall stability of the support, and reduce structural damage caused by uneven settlement.
[0085] On the basis of the above technical solution, optionally, the preloading strategy adjustment module is further used to: If the time period is a long time period, the first historical settlement change amount of each period of the first area of the bracket and the second historical settlement change amount of each period of the second area of the bracket are obtained, and the first number of periods that need to be extended in the first area of the bracket and / or the second number of periods that need to be extended in the second area of the bracket are determined according to the first historical settlement change amount, the second historical settlement change amount, the third settlement amount and / or the fourth settlement amount corresponding to the third preset time point and / or the fourth preset time point, and the preset settlement amount threshold; A stent preload adjustment strategy is determined according to the first cycle number and the second cycle number.
[0086] In this solution, the first historical settlement change amount can be the settlement change amount of the first area of the bracket in each historical period. Through the historical data record, the settlement of the first area of the bracket in different periods can be understood. There can be multiple periods in a short time period and a long time period, for example, there are four sub-periods in a short time period and 8 sub-periods in a long time period. Therefore, each period can correspond to a different historical settlement change amount.
[0087] The second historical settlement change amount can be the settlement change amount of the second area of the support in each historical period. Similarly, through the historical data record, the settlement of the second area of the support in different periods can be understood.
[0088] The first cycle number can be the number of cycles that the first area of the bracket needs to be extended according to the first historical settlement change, the third settlement corresponding to the third preset time point, and the preset settlement threshold. This is to ensure that the settlement of the first area of the bracket can be restored to a safe range within the extended period. For example, it is estimated that 8 sub-cycles are required to complete the task in a long period of time, but it is calculated that 2 cycles need to be extended, then the first cycle number is 2 cycles.
[0089] The second cycle number can be calculated based on the second historical settlement change, the fourth settlement corresponding to the fourth preset time point and the preset settlement threshold, to calculate the number of cycles that the second area of the bracket needs to be extended. This is also to ensure that the settlement of the second area of the bracket can be restored to a safe range within the extended period.
[0090] The historical settlement changes in the first area and the second area of the bracket in each long period of time, that is, the first historical settlement change and the second historical settlement change, can be obtained. In the long period of time, the current settlement condition is evaluated based on the third settlement corresponding to the third preset time point and the fourth settlement corresponding to the fourth preset time point, combined with the preset settlement threshold. According to the first historical settlement change and the third settlement, the first period number that the first area of the bracket needs to be extended is calculated. According to the second historical settlement change and the fourth settlement, the second period number that the second area of the bracket needs to be extended is calculated. Combined with the calculated first period number and second period number, determine the specific bracket pre-stressing adjustment strategy. This strategy will clarify the pre-stressing measures that need to be taken during the extended period to ensure that the settlement of each area of the bracket returns to the safety threshold. Specifically, the following formula can be used for calculation: ; For example, the third settlement amount is 12 mm, the preset settlement amount threshold is 10 mm, and the first historical settlement change amount is 0.5 mm. The settlement amount exceeding the preset settlement amount threshold is 2 mm, and the number of cycles to be extended is 4 cycles.
[0091] In this solution, by analyzing the historical settlement changes and current settlement data, the number of cycles that need to be extended can be accurately calculated, so as to formulate a more accurate preload adjustment strategy, ensure the effect of preload adjustment, and improve the stability of the bracket. Combining historical data and future settlement change trends, possible settlement risks can be predicted in advance, and corresponding measures can be taken in time to avoid safety hazards caused by excessive settlement of the bracket.
[0092] On the basis of the above technical solution, optionally, the preset settlement calculation formula is: ; in, is the third settlement amount or the fourth settlement amount; P is the third preload or the fourth preload; L is the length of the first area of the bracket or the length of the second area of the bracket; E is the elastic modulus of the material of the first area of the bracket or the elastic modulus of the material of the second area of the bracket; I is the moment of inertia of the cross-section of the first area of the bracket or the moment of inertia of the cross-section of the second area of the bracket.
[0093] In this solution, the length can be the measurement of the first region or the second region of the support along its main axis, which can be in meters or millimeters and clearly marked in the design drawing. For example, if the first region of a support extends to 5 meters from the starting point of the support, the length is 5 meters.
[0094] The elastic modulus can be a physical quantity that describes the ability of a material to produce strain when subjected to force. For example, the elastic modulus of steel is usually 210GPa.
[0095] The moment of inertia of a section is a geometric property of a section that describes its ability to resist bending across its cross section. The unit is the fourth power of meter.
[0096] The length of the first area of the bracket, the length of the second area of the bracket, the elastic modulus of the material of the first area of the bracket, the elastic modulus of the material of the second area of the bracket, the moment of inertia of the cross section of the first area of the bracket, and the moment of inertia of the cross section of the second area of the bracket can be obtained from the bracket design information. Specifically, the length markings of the first area and the second area of the bracket can be directly read from the design drawing. The lengths are usually marked between the various parts of the bracket and appear in clear numerical form. Look for the elastic modulus of the material used in the corresponding area in the design instructions or material specifications. The elastic modulus will be clearly marked in the material description section. Find the cross-sectional shape and size of each area of the bracket, use the corresponding formula or directly look for the moment of inertia value in the design calculation book. There is a steel bracket. The length L of the first area of the bracket is 10 meters, the elastic modulus E of the material is 200GPa, and the moment of inertia of the section is 4.5× m^4, then ; When calculating the reduced fifth preload and / or the reduced sixth preload of the second region of the bracket, if the preset settlement threshold is 10 mm, the third settlement is 15 mm, the elastic modulus E is 200 GPa, the section inertia moment is 500 cm^4, and the length of the first region of the bracket is 2 m, the third settlement exceeds the threshold by 5 mm, and accordingly: ; That is, the fifth preload that needs to be reduced is 7500N.
[0097] Embodiment 3
[0098] Figure 1 Schematic diagram of the structure of the intelligent monitoring device for the pre-compression process of the road construction support provided in the third embodiment of the present application. Figure 1 As shown, specifically including the following: The training process of the preset regulation prediction model includes: Obtain historical stent preload adjustment records, and determine historical short-term adjustment records and historical long-term adjustment records based on the historical stent preload adjustment records; Determine the first historical load change trend, the first historical preload, the first historical preset time point, the corresponding first historical preload change rate, the first historical settlement, the first historical settlement change trend, and the first historical preload adjustment value of the first area of the bracket according to the historical short-time period adjustment record, and determine the second historical load change trend, the second historical preload, the second historical preset time point, the corresponding second historical preload change rate, the second historical settlement, the second historical settlement change trend, and the second historical preload adjustment value of the second area of the bracket; Determine the third historical load change trend, the third historical preload, the third historical preset time point, the corresponding third historical preload change rate, the third historical settlement, the third historical settlement change trend, the first historical settlement change, and the first historical cycle number adjustment value of the first area of the bracket according to the historical long-term period adjustment record, and determine the fourth historical load change trend, the fourth historical preload, the fourth historical preset time point, the corresponding fourth historical preload change rate, the fourth historical settlement, the fourth historical settlement change trend, the second historical settlement change, and the second historical preload adjustment value of the second area of the bracket; Creating a first data set based on historical short-term period adjustment records, and creating a second data set based on historical long-term period adjustment records; A regulation prediction model is constructed, and the regulation prediction model is trained according to the stent design information, the first data set, and the second data set until the regulation prediction model reaches a preset model determination standard.
[0099] In this embodiment, the historical support preload adjustment record may be data recording all past adjustments to the support preload, including the time of adjustment, the specific load value of the adjustment, and the settlement measured after the adjustment.
[0100] The historical short-term adjustment record may be a record of the adjustment of the support preload within a short period of time.
[0101] The historical long-term period adjustment record may be a record of the adjustment of the support preload over a long period of time.
[0102] The first historical load variation trend may be historical data of how the preload of the first region of the support changes with time within a short period of time.
[0103] The first historical pre-compression load may be a pre-compression load value applied at a specific first historical preset time point.
[0104] The first historical preset time point may be a specific time point within a short time period, which is used to record and analyze the adjustment of the preload.
[0105] The first historical preload change rate may be a change rate of the preload at a specific first historical preset time point.
[0106] The first historical settlement amount may be the settlement amount of the first region of the stent measured at a specific first historical preset time point.
[0107] The first historical settlement variation trend may be historical data of the settlement variation over time in the first region of the bracket within a short period of time.
[0108] The first historical preload adjustment value may be a preload that is applied or reduced to adjust the expected settlement.
[0109] The second historical load change trend, the second historical preload, the second historical preset time point, the corresponding second historical preload change rate, the second historical settlement, the second historical settlement change trend and the second historical preload adjustment value can be similar to the first historical data, but applicable to the second area of the bracket.
[0110] The third historical load variation trend may be historical data of how the preload of the first region of the bracket changes with time over a long period of time.
[0111] The third historical pre-compression load may be a pre-compression load value applied at a specific third historical preset time point.
[0112] The third historical preset time point may be a specific time point within a long period of time, which is used to record and analyze the adjustment of the preload.
[0113] The third historical preload change rate may be a change rate of the preload at a specific third historical preset time point.
[0114] The third historical settlement amount may be the settlement amount of the first region of the stent measured at a specific third historical preset time point.
[0115] The third historical settlement change trend may be historical data of the settlement change over time in the first region of the bracket over a long period of time.
[0116] The first historical settlement change may be a settlement change value of the first region of the support over a long period of time.
[0117] The first historical cycle number adjustment value may be a value for adjusting the pre-compression cycle number of the first region of the stent based on historical data.
[0118] The fourth historical load change trend, the fourth historical preload, the fourth historical preset time point, the corresponding fourth historical preload change rate, the fourth historical settlement, the fourth historical settlement change trend, the second historical settlement change and the second historical preload adjustment value can be similar to the third historical data, but applicable to the second area of the bracket.
[0119] The first data set may include historical short-term adjustment records, and relevant data of the first area and the second area of the bracket.
[0120] The second data set may include historical long-term period adjustment records, and relevant data of the first area and the second area of the bracket.
[0121] The preset model judgment criteria can be the performance criteria of the regulation and prediction model, such as accuracy, precision, recall rate, mean square error, etc., which are used to evaluate whether the model has achieved the expected performance.
[0122] The historical support preload adjustment records can be obtained and divided into two categories: short time period and long time period. For the short time period records, the first historical load change trend, the first historical preload, the first historical preset time point, the first historical preload change rate, the first historical settlement, the first historical settlement change trend and the first historical preload adjustment value of the first area of the support are extracted, as well as the second historical load change trend, the second historical preload, the second historical preset time point, the second historical preload change rate, the second historical settlement, the second historical settlement change trend and the second historical preload adjustment value of the second area of the support. For the records of long time periods, the third historical load change trend, the third historical preload, the third historical preset time point, the third historical preload change rate, the third historical settlement, the third historical settlement change trend, the first historical settlement change and the first historical cycle number adjustment value of the first area of the bracket are extracted, as well as the fourth historical load change trend, the fourth historical preload, the fourth historical preset time point, the fourth historical preload change rate, the fourth historical settlement, the fourth historical settlement change trend, the second historical settlement change and the second historical cycle number adjustment value of the second area of the bracket. Then, based on these extracted data, the first data set of the short time period and the second data set of the long time period are created respectively. Finally, the control prediction model is trained according to the bracket design information, the first data set and the second data set until the control prediction model reaches the preset model judgment standard.
[0123] In this embodiment, analysis and adjustment based on big data and historical records improves the scientificity and reliability of decision-making and reduces the subjectivity and errors of human decision-making. By continuously training and optimizing the control prediction model, the accuracy and reliability of the model can be continuously improved to adapt to different environments and conditions.
[0124] Embodiment 4
[0125] Figure 2 : is a flow chart of an intelligent monitoring method for the preloading process of a road construction support provided in Example 4 of the present application. The method comprises: S201, pre-stress the first area of the bracket and the second area of the bracket according to a preset pre-stressing strategy, obtain a first pre-stressing load change trend of the first area of the bracket and a second pre-stressing load change trend of the second area of the bracket, and determine whether the pre-stressing strategy needs to be adjusted according to the first pre-stressing load change trend, the second pre-stressing load change trend, the preset first pre-stressing load change rate threshold and the preset second pre-stressing load change rate threshold.
[0126] S202: If the preloading strategy needs to be adjusted, the first preloading load variation trend and the second preloading load variation trend are input into a preset control prediction model to determine the stent preloading adjustment strategy.
[0127] S203: Adjust the pre-compression of the first region and the second region of the stent according to the stent pre-compression adjustment strategy.
[0128] S204, obtaining in real time a first pre-compression load of the first area of the bracket and a second pre-compression load of the second area of the bracket, stopping the pre-compression work on the first area of the bracket when the first pre-compression load reaches a preset first load level, and stopping the pre-compression work on the second area of the bracket when the second pre-compression load reaches a preset second load level.
[0129] S205, obtaining the current system timestamp in real time, and determining whether a preset settlement amount collection time interval has been reached according to the current system timestamp and the preloading stop timestamp.
[0130] S206: If the preset settlement collection time interval is reached, the first settlement of the first area of the bracket and the second settlement of the second area of the bracket are collected. If the first settlement and / or the second settlement exceeds the preset settlement threshold, an alarm message is sent to the control center.
[0131] In an embodiment of the present application, the first area of the bracket and the second area of the bracket are pre-stressed according to a preset pre-stressing strategy, and a first pre-stressing load change trend of the first area of the bracket and a second pre-stressing load change trend of the second area of the bracket are obtained. According to the first pre-stressing load change trend, the second pre-stressing load change trend, a preset first pre-stressing load change rate threshold and a preset second pre-stressing load change rate threshold, it is determined whether the pre-stressing strategy needs to be adjusted; if the pre-stressing strategy needs to be adjusted, the first pre-stressing load change trend and the second pre-stressing load change trend are input into a preset control prediction model to determine the bracket pre-stressing adjustment strategy; the pre-stressing of the first area of the bracket and the second area of the bracket are adjusted according to the bracket pre-stressing adjustment strategy; and the real-time acquisition is performed. The first preloading load of the first area of the support and the second preloading load of the second area of the support, when the first preloading load reaches the preset first load level, the preloading work on the first area of the support is stopped, and when the second preloading load reaches the preset second load level, the preloading work on the second area of the support is stopped; the current system timestamp is obtained in real time, and whether the preset settlement collection time interval is reached according to the current system timestamp and the stop preloading timestamp is determined; if the preset settlement collection time interval is reached, the first settlement of the first area of the support and the second settlement of the second area of the support are collected, and if the first settlement and / or the second settlement exceed the preset settlement threshold, an alarm message is sent to the control center. Through the above-mentioned intelligent monitoring method for the preloading process of the road construction support, the preloading load change trend is monitored in real time, and the preloading strategy can be quickly responded and adjusted to avoid support damage caused by uneven load, thereby improving the safety of preloading. It also improves the preloading efficiency, reduces human intervention, and reduces the workload of operators.
[0132] The above are only preferred embodiments of the present application and the technical principles used. The present application is not limited to the specific embodiments described herein, and various obvious changes, readjustments and substitutions that can be made by those skilled in the art will not deviate from the scope of protection of the present application. Therefore, although the present application is described in more detail through the above embodiments, the present application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present application, and the scope of the present application is determined by the scope of the claims.
[0133] It should be noted that, in this article, the terms "comprise", "include" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise one..." do not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.
[0134] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a computer software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for enabling a terminal (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present application.
[0135] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.
[0136] The above are only preferred embodiments of the present application and the technical principles used. The present application is not limited to the specific embodiments described herein, and various obvious changes, readjustments and substitutions that can be made by those skilled in the art will not deviate from the scope of protection of the present application. Therefore, although the present application is described in more detail through the above embodiments, the present application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present application, and the scope of the present application is determined by the scope of the claims.
Claims
1. An intelligent monitoring device for the preloading process of a road construction support, characterized in that: The device comprises: A preloading load variation trend determination module is used to preload the first region of the stent and the second region of the stent according to a preset preloading strategy, obtain a first preloading load variation trend of the first region of the stent and a second preloading load variation trend of the second region of the stent, and determine whether the preloading strategy needs to be adjusted according to the first preloading load variation trend, the second preloading load variation trend, a preset first preloading load variation rate threshold value, and a preset second preloading load variation rate threshold value; A preloading strategy adjustment module, for inputting the first preloading load variation trend and the second preloading load variation trend into a preset control prediction model to determine the stent preloading adjustment strategy if the preloading strategy needs to be adjusted; A pre-compression adjustment module, used to adjust the pre-compression of the first region of the stent and the second region of the stent according to the stent pre-compression adjustment strategy; A pre-compression monitoring module, used for obtaining in real time a first pre-compression load of a first area of the support and a second pre-compression load of a second area of the support, stopping the pre-compression work on the first area of the support when the first pre-compression load reaches a preset first load level, and stopping the pre-compression work on the second area of the support when the second pre-compression load reaches a preset second load level; A timestamp acquisition module is used to acquire the current system timestamp in real time, and determine whether a preset settlement amount collection time interval has been reached according to the current system timestamp and the stop preloading timestamp; The early warning module is used to collect the first settlement amount of the first area of the bracket and the second settlement amount of the second area of the bracket if the preset settlement amount collection time interval is reached. If the first settlement amount and / or the second settlement amount exceeds the preset settlement amount threshold, an alarm message is sent to the control center.
2. The intelligent monitoring device for preloading process of road construction support according to claim 1 is characterized in that: The device further comprises a cyclic pre-pressing module, which is used for: If the first settlement amount and the second settlement amount do not exceed the preset settlement amount threshold, the first area of the bracket and the second area of the bracket are pre-stressed step by step, and the first pre-stressing load and the second pre-stressing load are continuously obtained and updated. When the updated first pre-stressing load and the second pre-stressing load reach the corresponding level, the pre-stressing is stopped, and the first settlement amount of the first area of the bracket and the second settlement amount of the second area of the bracket are obtained each time the preset settlement amount collection time interval is reached. If the first settlement amount and the second settlement amount do not exceed the preset settlement amount threshold, the first area of the bracket and the second area of the bracket continue to be pre-stressed until the last level of bracket pre-stressing of the first area of the bracket and the second area of the bracket is completed.
3. The intelligent monitoring device for preloading process of road construction support according to claim 1 is characterized in that: The preloading strategy adjustment module is used for: Determine a first timestamp of each first preset time point of the first preload change trend and a corresponding first preload change rate, and determine a second timestamp of each second preset time point of the second preload change trend and a corresponding second preload change rate; Determine a first future preload change trend of the first region of the stent and a second future preload change trend of the second region of the stent according to the first timestamp, the first preload change rate, the second timestamp and the second preload change rate; The stent preload adjustment strategy is determined according to the first future preload change trend and the second future preload change trend.
4. The intelligent monitoring device for preloading process of road construction support according to claim 3 is characterized in that: The preloading strategy adjustment module is also used for: Determine a third preload corresponding to each third preset time point in the first future preload variation trend, and determine a fourth preload corresponding to each fourth preset time point in the second future preload variation trend; Acquire the stent design information, and calculate the third settlement of the first area of the stent corresponding to each third preset time point according to the stent design information, the third preload, the fourth preload and the preset settlement calculation formula, and calculate the fourth settlement of the second area of the stent corresponding to each fourth preset time point; Determine a first future settlement change trend of a first region of the bracket according to the third settlement amount, and determine a second future settlement change trend of a second region of the bracket according to the fourth settlement amount; A stent preload adjustment strategy is determined according to the first future settlement amount change trend and the second future settlement amount change trend.
5. The intelligent monitoring device for preloading process of road construction support according to claim 4 is characterized in that: The preloading strategy adjustment module is also used for: Determine whether there is a third preset time point in the first future sedimentation change trend that exceeds a preset sedimentation threshold, and determine whether there is a fourth preset time point in the second future sedimentation change trend that exceeds a preset sedimentation threshold; If the third preset time point and / or the fourth preset time point exist, determining the time period corresponding to the third preset time point and / or the fourth preset time point; If the time period is a short time period, the fifth preload that needs to be reduced in the first area of the stent and / or the sixth preload that needs to be reduced in the second area of the stent are calculated according to the stent design information, the third settlement amount and / or the fourth settlement amount corresponding to the third preset time point and / or the fourth preset time point, the preset settlement amount threshold and the preset settlement amount calculation formula; The bracket preload adjustment strategy is determined according to the fifth preload and / or the sixth preload.
6. The intelligent monitoring device for preloading process of road construction support according to claim 4 is characterized in that: The preloading strategy adjustment module is also used for: If the time period is a long time period, the first historical settlement change amount of each period of the first area of the bracket and the second historical settlement change amount of each period of the second area of the bracket are obtained, and the first number of periods that need to be extended in the first area of the bracket and / or the second number of periods that need to be extended in the second area of the bracket are determined according to the first historical settlement change amount, the second historical settlement change amount, the third settlement amount and / or the fourth settlement amount corresponding to the third preset time point and / or the fourth preset time point, and the preset settlement amount threshold; A stent preload adjustment strategy is determined according to the first cycle number and the second cycle number.
7. The intelligent monitoring device for preloading process of road construction support according to claim 4 is characterized in that: The preset settlement calculation formula is: ; in, is the third settlement amount or the fourth settlement amount; P is the third preload or the fourth preload; L is the length of the first area of the bracket or the length of the second area of the bracket; E is the elastic modulus of the material of the first area of the bracket or the elastic modulus of the material of the second area of the bracket; I is the moment of inertia of the cross-section of the first area of the bracket or the moment of inertia of the cross-section of the second area of the bracket.
8. The intelligent monitoring device for preloading process of road construction support according to claim 1 is characterized in that: The preload change trend determination module is used for: The crane is controlled to pre-press the first area of the support according to a preset pre-pressing strategy, and the water pump is controlled to pre-press the second area of the support according to the preset pre-pressing strategy.
9. The intelligent monitoring device for preloading process of road construction support according to claim 1 is characterized in that: The training process of the preset regulation prediction model includes: Obtain historical stent preload adjustment records, and determine historical short-term adjustment records and historical long-term adjustment records based on the historical stent preload adjustment records; Determine the first historical load change trend, the first historical preload, the first historical preset time point, the corresponding first historical preload change rate, the first historical settlement, the first historical settlement change trend, and the first historical preload adjustment value of the first area of the bracket according to the historical short-time period adjustment record, and determine the second historical load change trend, the second historical preload, the second historical preset time point, the corresponding second historical preload change rate, the second historical settlement, the second historical settlement change trend, and the second historical preload adjustment value of the second area of the bracket; Determine the third historical load change trend, the third historical preload, the third historical preset time point, the corresponding third historical preload change rate, the third historical settlement, the third historical settlement change trend, the first historical settlement change, and the first historical cycle number adjustment value of the first area of the bracket according to the historical long-term period adjustment record, and determine the fourth historical load change trend, the fourth historical preload, the fourth historical preset time point, the corresponding fourth historical preload change rate, the fourth historical settlement, the fourth historical settlement change trend, the second historical settlement change, and the second historical preload adjustment value of the second area of the bracket; Creating a first data set based on historical short-term period adjustment records, and creating a second data set based on historical long-term period adjustment records; A regulation prediction model is constructed, and the regulation prediction model is trained according to the stent design information, the first data set, and the second data set until the regulation prediction model reaches a preset model determination standard.
10. An intelligent monitoring method for the preloading process of a road construction support, characterized in that: The method comprises: Pre-stressing the first area of the stent and the second area of the stent according to a preset pre-stressing strategy, obtaining a first pre-stressing load change trend of the first area of the stent and a second pre-stressing load change trend of the second area of the stent, and determining whether the pre-stressing strategy needs to be adjusted according to the first pre-stressing load change trend, the second pre-stressing load change trend, a preset first pre-stressing load change rate threshold, and a preset second pre-stressing load change rate threshold; If the preloading strategy needs to be adjusted, the first preloading load variation trend and the second preloading load variation trend are input into a preset control prediction model to determine the stent preloading adjustment strategy; Performing pre-compression adjustment on the first region of the stent and the second region of the stent according to the stent pre-compression adjustment strategy; Acquire a first pre-compression load of a first region of the support and a second pre-compression load of a second region of the support in real time, stop pre-compression work on the first region of the support when the first pre-compression load reaches a preset first load level, and stop pre-compression work on the second region of the support when the second pre-compression load reaches a preset second load level; Acquire the current system timestamp in real time, and determine whether the preset settlement amount collection time interval has been reached according to the current system timestamp and the preloading stop timestamp; If the preset settlement collection time interval is reached, the first settlement of the first area of the bracket and the second settlement of the second area of the bracket are collected. If the first settlement and / or the second settlement exceeds the preset settlement threshold, an alarm message is sent to the control center.
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