Work procedure collaborative management system for tunnel large machine matched construction

Abstract

The invention relates to the technical field of tunnel construction informatization management, in particular to a process collaborative management system for tunnel large machine matched construction. The method comprises the following steps: comparing the used time of second equipment with the historical working time of the same surrounding rock level to obtain a first deviation, and comparing the current surrounding rock deformation with the historical deformation data of the same period to obtain a second deviation; and according to the estimated remaining working hours, the first deviation and the second deviation, a cooperation judgment result is generated in combination with the process relationship between the first equipment and the second equipment, and comprehensive judgment of the process cooperation state based on multi-source data fusion is achieved.

Description

Technical Field

[0001] This invention relates to the field of information management technology for tunnel construction, specifically to a collaborative management system for construction processes used with large tunnel machinery. Background Technology

[0002] In tunnel drilling and blasting construction, the widespread use of large-scale mechanized equipment (such as three-arm drilling rigs and wet spraying robots) has improved construction efficiency, but it has also increased the complexity of process coordination. When multiple devices operate in parallel or sequentially, factors such as changes in the surrounding rock and fluctuations in equipment status can lead to poor process coordination, affecting construction progress and safety.

[0003] In existing technologies, such as Chinese invention patent CN120875814A, a tunnel process real-time management system based on real-time data acquisition and intelligent analysis is disclosed. This system collects equipment start-up and shutdown times, operating parameters, and location information at the hardware layer, and combines this with UWB positioning to automatically associate personnel with processes, achieving real-time real-time management of process data. However, this system primarily focuses on recording and tracing process data, without addressing multi-source data fusion analysis based on mechanical operating parameters and surrounding rock deformation. This makes it difficult to adjust equipment operating parameters and start-up timing in real time based on the surrounding rock condition and equipment status during construction.

[0004] For example, Chinese invention patent CN120450493B discloses a data fusion-based intelligent scheduling and decision-making system for tunnel construction. This system predicts concrete demand through a workface demand prediction module, assesses the supply-demand balance index by combining it with the supply from the mixing plant, and dynamically generates transportation scheduling targets. However, this system primarily addresses concrete transportation scheduling and does not involve the coordinated control of equipment between processes, making it difficult to solve the problem of process connection when multiple devices operate in parallel or sequentially. Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of the prior art and solve the problem that the prior art lacks multi-source data fusion analysis of mechanical operating parameters, working hours and surrounding rock deformation, making it impossible to adjust equipment operating parameters and start-up timing in real time according to the surrounding rock condition and equipment operating conditions during construction, and making it difficult to achieve collaborative management between processes.

[0006] The technical solution adopted by the present invention to solve its technical problem is: a collaborative management system for construction processes of tunnel machinery, including: a time estimation module, which is used to retrieve the historical time of each process and the historical connection time between processes according to the current surrounding rock level, and combine the current mechanical operating parameters of the first equipment and the historical correlation data between mechanical parameters and time to obtain the estimated remaining time of the first equipment.

[0007] The deviation generation module is used to compare the working hours of the second equipment with the historical working hours of the same surrounding rock level to obtain the first deviation; and to compare the current surrounding rock deformation with the historical deformation data of the same period to obtain the second deviation.

[0008] The timing determination module is used to generate a collaborative determination result based on the estimated remaining working hours, the first deviation, and the second deviation, combined with the process relationship between the first and second equipment; the process relationship includes parallel construction and serial construction.

[0009] The parameter control module is used to generate control instructions based on the collaborative judgment results; the control instructions include synchronous adjustment instructions for mechanical operating parameters during parallel construction, and equipment start-up timing adjustment instructions and individual adjustment instructions for mechanical operating parameters during serial construction.

[0010] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention retrieves the historical working hours of each process and the historical connection time between processes based on the current surrounding rock level, and combines the current mechanical operating parameters of the first equipment and the historical correlation data between mechanical parameters and working hours to obtain the estimated remaining working hours of the first equipment, thereby realizing the dynamic estimation of remaining working hours based on the real-time status of the equipment and historical data, and providing a time benchmark for process collaboration.

[0011] 2. The present invention compares the working hours used by the second equipment with the historical working hours of the same surrounding rock level to obtain the first deviation, and compares the current surrounding rock deformation with the historical deformation data of the same period to obtain the second deviation; based on the estimated remaining working hours, the first deviation and the second deviation, and combined with the process relationship between the first equipment and the second equipment, a collaborative judgment result is generated, realizing a comprehensive judgment of the process collaborative status based on multi-source data fusion.

[0012] 3. In parallel construction, the present invention generates a collaborative judgment result for synchronously adjusting the mechanical operating parameters of the first and second equipment based on the absolute value of the second deviation and historical data. In serial construction, the invention adjusts the start-up timing of the second equipment or the mechanical operating parameters of the second equipment based on the estimated remaining working hours, the absolute value of the first deviation, or the absolute value of the second deviation. This achieves differentiated control based on process relationships and improves the smoothness of process connection. Attached Figure Description

[0013] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0014] Figure 1 This is a schematic diagram of the system module connections of the present invention.

[0015] Figure 2 This is a schematic diagram of the process for obtaining the estimated remaining working hours according to the present invention.

[0016] Figure 3 This is a schematic diagram of the process for obtaining the first deviation according to the present invention.

[0017] Figure 4 This is a schematic diagram of the process for obtaining the second deviation according to the present invention.

[0018] Figure 5 This is a schematic diagram of the process for generating collaborative determination results according to the present invention. Detailed Implementation

[0019] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that, unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps set forth in these embodiments do not limit the scope of the invention. Furthermore, it should be understood that, for ease of description, the dimensions of the various parts shown in the drawings are not drawn to actual scale.

[0020] The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit the invention or its application or use. Techniques, methods, and apparatus known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and apparatus should be considered part of the specification.

[0021] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limitations. Therefore, other examples of exemplary embodiments may have different values.

[0022] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0023] The following description, in conjunction with the accompanying drawings, details a specific solution for a collaborative management system for tunnel construction machinery provided by this invention.

[0024] Please see Figure 1 The diagram shows a module connection diagram of a collaborative management system for tunnel construction machinery provided by the present invention, which specifically includes: a time estimation module, a deviation generation module, a timing determination module, and a parameter control module.

[0025] The output of the time estimation module is connected to the deviation generation module and the timing determination module, respectively. The output of the deviation generation module is connected to the timing determination module, and the output of the timing determination module is connected to the parameter control module.

[0026] Please see Figure 2The time estimation module is used to obtain the estimated remaining time of the first equipment based on the current surrounding rock level, the historical time of each process, the historical connection time between processes, the mechanical operating parameters of the equipment, and historical related data.

[0027] The surrounding rock grade comprehensively reflects the geological conditions of the rock mass, such as its hardness, integrity, and structural features, and directly affects the efficiency of each construction process. In this invention, the surrounding rock grade is determined in real time through geological sketching and advanced geological forecasting during tunnel construction. It is typically divided into grades I to VII, with higher grades indicating poorer engineering properties of the surrounding rock, such as lower strength.

[0028] Before this system can be put into operation, a basic database needs to be built. The basic database should include at least the surrounding rock grade of each completed construction cycle, the actual operation time of each process, the actual interval time between adjacent processes, the historical connection time, the process time ratio, the historical time, and the corresponding equipment and machinery operation parameters.

[0029] Specifically, firstly, the actual working time of each process in the completed construction cycle and the actual interval between adjacent processes are obtained by using sensors installed on construction equipment (such as work status monitoring instruments) or by manual input on site.

[0030] The construction cycle refers to the complete process in tunnel excavation operations, from the start of one procedure (such as drilling) to the completion of all procedures (such as support) and preparation for the next cycle.

[0031] Actual operation time refers to the actual time elapsed from the start of operation of the construction equipment for a certain process to the completion of the process.

[0032] The actual interval time refers to the actual time elapsed between the completion of the preceding process and the start of the following process between two adjacent processes.

[0033] Subsequently, data preprocessing was performed to remove extreme values ​​caused by external factors such as equipment failure and sudden power outages. Then, the average actual interval between adjacent processes was calculated as the historical connection time between the preceding and following processes.

[0034] Then, based on the same construction cycle, the actual working time of subsequent procedures is compared with that of adjacent preceding procedures to obtain the procedure time ratio. The procedure time ratio reflects the time ratio between different procedures under the same surrounding rock grade.

[0035] Then, remove all data items from the total process duration ratio that exceed the historical operation duration ratio distribution range for the corresponding group of processes under the same surrounding rock grade. For the remaining data items, calculate the average actual operation time of each process according to the surrounding rock grade as the historical working time of that process.

[0036] The logic for determining the distribution range of historical operation duration ratios can be as follows: Statistically analyze the ratios of the same group of processes under the same surrounding rock grade, and calculate their arithmetic mean and standard deviation. Set the lower limit of the distribution range to the average minus twice the standard deviation, and the upper limit to the average plus twice the standard deviation.

[0037] For historical data samples with a small sample size, such as less than 30, the distribution range can be narrowed to the mean plus or minus 1.5 times the standard deviation to increase the rigor of data screening; otherwise, the original settings should be maintained.

[0038] Furthermore, historical correlation data between mechanical parameters and working hours is constructed. Specifically, this can be obtained in real time through the controller local area network bus of the construction equipment itself or through external sensors. This includes various mechanical operating parameters in the completed construction cycle of each process under each surrounding rock level. For example, for tunneling machines, this may include propulsion pressure, cutterhead rotation speed, propulsion speed, etc.

[0039] Subsequently, each type of mechanical operating parameter is arranged in ascending order of value and then divided into several parameter intervals, for example, 10 parameter intervals. If the amount of historical data for a certain type of mechanical operating parameter is large (e.g., more than 300), the number of parameter intervals can be increased (e.g., 15) to improve the correlation accuracy; if the amount of historical data is small (e.g., 150), the number of parameter intervals can be reduced (e.g., 8) to ensure that there are sufficient data samples in each parameter interval.

[0040] After determining the parameter range, for each parameter range of each type of mechanical operating parameter, extract the actual working time corresponding to all mechanical operating parameters within that parameter range.

[0041] Divide the standard deviation of the extracted actual working hours by the arithmetic mean to obtain the coefficient of variation, which is dimensionless. Also calculate the range of the extracted actual working hours. Add the product of the coefficient of variation and the range to the arithmetic mean to obtain the upper limit of the data range. Subtract the product of the coefficient of variation and the range from the arithmetic mean to obtain the lower limit of the data range.

[0042] After determining the data range, it is necessary to remove the actual working time that falls outside the range to eliminate extreme durations caused by factors other than construction equipment, such as differences in operator skill. Next, the average of the remaining actual working times is calculated as a reference working time for the corresponding parameter range.

[0043] Finally, the parameter ranges of various mechanical operating parameters under each surrounding rock grade are associated and stored with the corresponding reference working time, forming historical correlation data between mechanical parameters and working time. The historical correlation data includes at least the surrounding rock grade, process type, mechanical operating parameters, parameter range, and corresponding reference working time.

[0044] The process type refers to the specific work content in tunnel construction, including but not limited to excavation, muck removal, and support. For example, when the cutterhead of a tunneling machine rotates and the propulsion cylinder extends, the process type can be identified as excavation.

[0045] For example, the historical correlation data for the excavation process under Class III surrounding rock can be shown in Table 1 below.

[0046]

[0047] Based on the established basic database and historical related data, the estimated remaining working hours of the first device are calculated.

[0048] In sequential construction, the first piece of equipment usually refers to the preceding equipment (such as a tunneling machine) that is currently performing operations and has subsequent operations following it; in parallel construction, it is any piece of equipment that serves as a reference for coordinated adjustment, such as a tunneling machine that operates simultaneously with the support trolley.

[0049] The specific calculation process is as follows: retrieve the historical working hours of the current process from the basic database according to the current surrounding rock level, and retrieve the corresponding reference working hours from the historical associated data based on the current mechanical operating parameters of the first equipment.

[0050] Then, the difference between the reference operation time and the time already used by the first equipment in the current process is calculated as the base remaining time. The time already used can be obtained in real time through the start timer on the first equipment.

[0051] Next, calculate the difference between the basic remaining working hours and the historical working hours of the current process under the current surrounding rock level. Then, divide the obtained difference by the historical working hours and add 1 to get the first scaling factor. Immediately afterward, multiply the basic remaining working hours by the first scaling factor to obtain the intermediate remaining working hours.

[0052] If the scaling factor is greater than 1, it means that the remaining basic working time has been increased to allow more buffer time for subsequent processes and avoid long waiting times for subsequent processes due to delays in the preceding processes. If the scaling factor is less than 1, it means that the remaining basic working time has been reduced to improve the coordination efficiency between processes and avoid untimely connection of subsequent processes due to premature completion of the preceding processes.

[0053] Subsequently, the historical connection time corresponding to the current process as the preceding process under the current surrounding rock level is extracted. This historical connection time represents the waiting time that usually needs to be waited for after the current process is completed before the next process can begin.

[0054] Calculate the difference between the extracted historical connection time and the intermediate remaining working hours, then divide the obtained difference by the historical connection time and add 1 to obtain the secondary scaling factor; then multiply the intermediate remaining working hours by the secondary scaling factor to obtain the estimated remaining working hours of the first equipment.

[0055] If the secondary scaling factor is greater than 1, it means that the remaining time in the middle has been amplified to postpone the start of subsequent processes and avoid congestion or waiting caused by the subsequent equipment entering the work surface too early. If the secondary scaling factor is less than 1, it means that the remaining time in the middle has been reduced, which means that the remaining time of the current process is shorter than the normal waiting time, so as to start the subsequent processes in advance and avoid delays in the connection of subsequent equipment and idle work surfaces caused by the early completion of the preceding processes.

[0056] The deviation generation module is used to compare the working hours of the second equipment with the historical working hours of the same surrounding rock level to obtain the first deviation; and to compare the current surrounding rock deformation with the historical deformation data of the same period to obtain the second deviation.

[0057] In sequential construction, the second piece of equipment usually refers to the equipment that starts working after the first piece of equipment (such as a support trolley); in parallel construction, it refers to the equipment that works simultaneously with the first piece of equipment and requires coordinated adjustment (such as an anchor bolt trolley that works simultaneously with the tunneling machine).

[0058] Please see Figure 3 The specific process for obtaining the first deviation is as follows: it can be obtained through sensors on the construction equipment (such as the cumulative spray volume of a wet spraying machine) or positioning devices (such as the cumulative advance of a tunneling machine), and the amount of work completed by the second equipment in the current process.

[0059] The completed work of the second equipment in the current process is then compared with the total work volume of the current process to obtain the current construction progress percentage. The total work volume of the current process is the theoretical cyclical workload in the construction design documents.

[0060] Subsequently, from the completed construction cycles, the actual operation time of each operation under the same surrounding rock grade and the same process at the current construction progress percentage is retrieved, and the average value of the retrieved actual operation time is calculated as the reference time at the current construction progress.

[0061] Finally, the difference between the time already used by the second equipment in the current process and the reference time is calculated to obtain the first deviation. A positive first deviation indicates that the progress of the second equipment in the current process is lagging behind; a negative first deviation indicates that the progress of the second equipment in the current process is ahead of schedule.

[0062] Please see Figure 4The specific process of obtaining the second deviation is as follows: by using monitoring devices such as convergence meters, total stations or laser rangefinders installed on the tunnel wall, displacement data of multiple measuring points on the tunnel cross section are continuously collected at set time intervals (such as 1 minute) and processed accordingly to obtain the current surrounding rock deformation, and then the current surrounding rock deformation time series data is constructed in time sequence.

[0063] Preferably, the displacement data can be processed as follows: at any monitoring time, the maximum value is selected from the displacement values ​​of all measuring points to represent the deformation of the surrounding rock at that time.

[0064] At the same time, the historical deformation data for the current surrounding rock grade at the current construction stage is retrieved from the historical deformation data of the same period.

[0065] The time interval can be set according to the surrounding rock level. For surrounding rock levels of IV and above, the time interval can be set to 30 seconds to capture the deformation process more densely. For surrounding rock levels of III and below, the time interval can be set to 5 minutes to reduce redundant data.

[0066] Historical deformation data refers to the statistical data of surrounding rock deformation at corresponding time points in historical construction cycles under the same surrounding rock grade, the same process type, and the same percentage of construction progress.

[0067] As shown in Table 2 below, the historical deformation data of a certain Class III surrounding rock section within 0-3 hours after excavation are listed as an example.

[0068]

[0069] Furthermore, by analyzing the current operating status of the first and second equipment, the type of construction process currently underway can be identified.

[0070] Because different types of processes have different effects on the stability of the surrounding rock, it is necessary to calculate the deformation characteristic value reflecting the state of the surrounding rock under the current process type based on the current time series data of the surrounding rock deformation. Similarly, the same deformation characteristic value can be obtained based on the historical time series data of deformation during the same period.

[0071] Deformation characteristic values ​​are derived quantities obtained by mathematical transformation of time-series data on surrounding rock deformation, and are used to quantitatively describe the deformation state of the surrounding rock. Deformation characteristic values ​​include, but are not limited to, deformation rate, cumulative deformation, and deformation acceleration.

[0072] Among them, the deformation rate is obtained by taking the first derivative of the deformation amount in the time series data of surrounding rock deformation with respect to time; the cumulative deformation amount is obtained by calculating the algebraic sum of the surrounding rock deformation amount within a specified time period, and the specified time period is determined according to the type of operation. For example, for the excavation operation, the starting point of the specified time period is the excavation start time and the ending point is the current time; the deformation acceleration is obtained by taking the first derivative of the deformation rate with respect to time.

[0073] Those skilled in the art can also define other deformation characteristic values ​​that can reflect the state of the surrounding rock, such as the rate of change of deformation rate and the moving average of deformation, according to actual monitoring needs and process types. Their calculation can be achieved through existing corresponding mathematical operations based on the time series data of surrounding rock deformation.

[0074] Next, the deviation of the current deformation characteristic value from the historical deformation characteristic value of the same period is calculated. That is, the current deformation characteristic value is first subtracted from the historical deformation characteristic value of the same period, and then the difference is divided by the historical deformation characteristic value of the same period. The result is taken as the second deviation. The larger the positive value of the second deviation, the more unstable the surrounding rock is.

[0075] Please see Figure 5 The timing determination module is used to generate a collaborative determination result based on the estimated remaining working hours, the first deviation, and the second deviation, combined with the process relationship between the first and second equipment.

[0076] The process relationships include parallel construction and sequential construction. The specific process relationships between the first piece of equipment and the second piece of equipment will be predetermined by the construction organization design and entered into the system.

[0077] The specific generation process is as follows: First, calculate the difference between the estimated remaining working hours and the historical working hours of the current process under the current surrounding rock level to obtain the working hour deviation; the working hour deviation can be a positive or negative value.

[0078] Based on this, the newly generated deviation in working hours, the absolute value of the first deviation, and the absolute value of the second deviation are sorted with the historical data corresponding to the completed construction cycles under the current surrounding rock level, and their percentile positions in the historical data are calculated to determine their respective positions in the historical data when arranged from largest to smallest.

[0079] For example, if the historical data corresponding to the completed construction cycle under the current surrounding rock grade contains 100 samples of the absolute value of the second deviation, and the newly generated absolute value of the second deviation is ranked 10th from the largest to the smallest among these 100 samples, then its order position is in the top 10.

[0080] When the first and second equipment are constructed in parallel, if the absolute value of the second deviation is located in the first third of the sequence, it means that the current abnormal deformation of the surrounding rock is among the most severe in the top 33% of all historical cases. This indicates that the surrounding rock condition is poor and may be unstable. In this case, it is necessary to generate a collaborative judgment result that synchronously adjusts the current mechanical operating parameters of the first and second equipment to reduce the workload and maintain the stability of the surrounding rock at the working face.

[0081] If the absolute value of the second deviation is not located in the first third of the interval, a collaborative determination result is generated to maintain the current mechanical operating parameters of the first and second devices.

[0082] When the first and second equipment are sequentially constructed and the second equipment is the subsequent equipment, if the time deviation is positive and its position is within the first third of the sequence, it indicates that the first equipment is currently lagging behind. In this case, if the second equipment starts as originally planned, it will lead to a long waiting time or work surface congestion. Therefore, it is necessary to generate a collaborative judgment result to delay the start-up of the second equipment, so that the second equipment is ready to start.

[0083] If the deviation in working hours is negative or its order position is not in the first third of the interval, a collaborative judgment result is generated to maintain the original start-up time of the second equipment unchanged.

[0084] When the first and second equipment are constructed sequentially and the second equipment is the subsequent equipment, if the absolute value of the first deviation is located in the first third of the interval, it indicates that the progress of the second equipment is too fast or too slow. If the absolute value of the second deviation is located in the first third of the interval, it indicates that the surrounding rock condition is abnormal, which may affect the operating efficiency or safety of the second equipment.

[0085] At this point, whether the second equipment is progressing too fast or too slow, or the surrounding rock condition is abnormal, it is necessary to generate a collaborative judgment result to adjust the current mechanical operating parameters of the second equipment in order to adapt to the current working conditions.

[0086] If the absolute values ​​of the first and second deviations are not located in the first third of the interval, a collaborative judgment result is generated to maintain the current mechanical operating parameters of the second equipment.

[0087] It should be added that the reason for choosing the first third of the interval as the judgment criterion is based on statistical analysis of the distribution patterns of historical data.

[0088] The parameter control module is used to generate control instructions based on the collaborative judgment results. The control instructions include synchronous adjustment instructions for mechanical operating parameters during parallel construction, and equipment start-up timing adjustment instructions and individual mechanical operating parameter adjustment instructions during serial construction.

[0089] Specifically, when the collaborative judgment result is to synchronously adjust the mechanical operating parameters of the first and second equipment, the arithmetic mean of all the absolute values ​​of the second deviations included in the historical data of the completed construction cycle under the current surrounding rock level is calculated, and the adjustment ratio is obtained by dividing the absolute value of the second deviations by the average value.

[0090] If the adjustment ratio is greater than 1, then the adjustment ratio is directly taken as 1 to prevent over-adjustment. If the adjustment ratio is less than or equal to 1, then the calculated value is directly used as the adjustment ratio.

[0091] Subsequently, the adjustment ratio is multiplied by the preset benchmark adjustment step size to obtain the adjustment range of the mechanical operating parameters of the first and second equipment to be adjusted synchronously, and a synchronous adjustment command for the mechanical operating parameters is generated accordingly.

[0092] In this invention, the reference adjustment step size can be determined proportionally based on the rated power of the equipment drive motor, for example, by taking the speed or pressure change corresponding to five-thousandths of the rated power. The rated power can be obtained from the equipment nameplate or technical manual.

[0093] When the collaborative judgment result is to delay the start-up time of the second equipment, the arithmetic mean of all the time deviations included in the historical data of the completed construction cycle under the current surrounding rock level is calculated. The absolute value of the time deviation is divided by the average value and then multiplied by the preset correction coefficient to obtain the delay time of the second equipment (in minutes), and an equipment start-up time adjustment command is generated accordingly.

[0094] In this invention, the correction factor is associated with the standard deviation of the time deviation of the corresponding process in the completed construction cycle. If the standard deviation is located in the first third of the historical data, the correction factor is 1.5; otherwise, the correction factor is 1.2. This is to prevent the subsequent equipment from entering the system before the previous process is completed.

[0095] When the collaborative judgment result is to adjust the mechanical operating parameters of the second equipment, if the adjustment is based on the absolute value of the first deviation, the average value of all the absolute values ​​of the first deviations included in the historical data of the completed construction cycle under the current surrounding rock level is calculated. The absolute value of the first deviation is divided by the average value, and then multiplied by 10% of the rated power of the second equipment drive motor to obtain the adjustment range of the mechanical operating parameters of the second equipment alone, and a separate adjustment command for the mechanical operating parameters is generated accordingly.

[0096] The purpose of adjusting the mechanical operating parameters individually is to correct operational efficiency deviations by adjusting the output power of the second equipment, and to avoid impacting the second equipment due to excessive adjustment in a single instance.

[0097] If adjustments are made based on the absolute value of the second deviation, the average value of all the absolute values ​​of the second deviations in the historical data of the completed construction cycle under the current surrounding rock level is calculated. The absolute value of the second deviation is divided by this average value, and then multiplied by 15% of the rated pressure of the second equipment actuator to obtain the adjustment range of the mechanical operating parameters of the second equipment individually. Based on this, an individual adjustment command for the mechanical operating parameters is generated.

[0098] The purpose of individually adjusting the mechanical operating parameters is to reduce the load on the second piece of equipment, thereby minimizing its disturbance to the surrounding rock while ensuring its basic operational capabilities. The rated pressure can be obtained from the equipment's hydraulic system design parameters.

[0099] After generating the control command, the parameter control module encapsulates the control command, the corresponding device identifier, the command execution timestamp, and other information into a standard communication protocol, and sends it to the vehicle controller of the corresponding device for execution via the industrial wireless network.

[0100] In addition, this system also includes a data update mechanism, which is as follows: as the construction cycle is completed, the actual working time of the current construction cycle and the corresponding mechanical operating parameters are added to the historical data, and the historical correlation data between mechanical parameters and working hours, the historical working hours of each process and the historical connection time between processes, the working hour deviation, the absolute value of the first deviation, the absolute value of the second deviation, and other data are updated.

[0101] When the system is run for the first time, construction data from other tunnel projects with the same or similar surrounding rock levels can be imported as initial data. The initial data should include at least historical working hours, historical connection duration, and historical correlation data between mechanical parameters and working hours.

[0102] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, in the form of a computer program product.

[0103] Those skilled in the art will recognize that the modules and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0104] In addition, the functional modules in the various embodiments of the present invention can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module.

[0105] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

[0106] Finally, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A collaborative management system for construction processes using large tunnel boring machines, characterized in that, include: The time estimation module is used to retrieve the historical time of each process and the historical connection time between processes based on the current surrounding rock level, and combine it with the current mechanical operating parameters of the first equipment and the historical correlation data between mechanical parameters and time to obtain the estimated remaining time of the first equipment; The deviation generation module is used to compare the working hours used by the second equipment with the historical working hours of the same surrounding rock level to obtain the first deviation; and to compare the current surrounding rock deformation with the deformation data of the same period in history to obtain the second deviation. The timing determination module is used to generate a collaborative determination result based on the estimated remaining working hours, the first deviation, and the second deviation, combined with the process relationship between the first and second equipment; the process relationship includes parallel construction and serial construction. The parameter control module is used to generate control instructions based on the collaborative judgment results; the control instructions include synchronous adjustment instructions for mechanical operating parameters during parallel construction, and equipment start-up timing adjustment instructions and individual adjustment instructions for mechanical operating parameters during serial construction.

2. The collaborative management system for tunnel construction machinery as described in claim 1, characterized in that, The process of obtaining historical working hours and historical connection duration is as follows: Obtain the actual working time of each process in the completed construction cycle and the actual interval time between adjacent processes; The average actual interval between adjacent processes is used as the historical connection time between the preceding and following processes. Based on the same construction cycle, the actual working time of the subsequent process is compared with that of the adjacent preceding process to obtain the process time ratio; Remove all data items from the process duration ratios that exceed the historical operation duration ratio distribution range of the corresponding group of processes under the same surrounding rock level; for the remaining data items, calculate the average actual operation time of each process according to the surrounding rock level as the historical working time of that process.

3. The collaborative management system for tunnel construction machinery as described in claim 1, characterized in that, The process of obtaining historical correlation data is as follows: For each type of mechanical operating parameter in the completed construction cycle of each process under each surrounding rock level, each type of mechanical operating parameter is arranged in ascending order of value and then divided into several parameter intervals. For each parameter range of each type of mechanical operating parameter, extract the actual operating time corresponding to all mechanical operating parameters within that parameter range, and determine the data range based on the arithmetic mean and standard deviation of the extracted actual operating times; Remove the actual operation time that is outside the data range, calculate the average of the remaining actual operation time, and use it as the reference operation time for the corresponding parameter range; The parameter ranges of various mechanical operating parameters under each surrounding rock grade are associated and stored with the corresponding reference working time to form historical correlation data between mechanical parameters and working time.

4. The collaborative management system for tunnel construction machinery as described in claim 3, characterized in that, The specific process for determining the data range is as follows: Divide the standard deviation of the extracted actual working time by the arithmetic mean to obtain the coefficient of variation; calculate the range of the extracted actual working time. The arithmetic mean plus the product of the coefficient of variation and the range is used as the upper limit of the data range; The lower limit of the data range is obtained by subtracting the product of the coefficient of variation and the range from the arithmetic mean.

5. The collaborative management system for tunnel construction machinery as described in claim 2, characterized in that, The process of estimating the remaining working hours is as follows: Based on the current mechanical operating parameters of the first equipment, retrieve the corresponding reference operating time from historical related data; The difference between the reference operation time and the time already used by the first equipment in the current process is calculated as the base remaining time. Calculate the difference between the basic remaining man-hours and the historical man-hours of the current process under the current surrounding rock grade, and use this difference as the basis for scaling the basic remaining man-hours to obtain the intermediate remaining man-hours; Extract the historical connection time corresponding to the current process as the preceding process under the current surrounding rock level, and calculate the difference between it and the intermediate remaining time. Use this difference as the basis for adjustment to scale and adjust the intermediate remaining time to obtain the estimated remaining time of the first equipment.

6. The collaborative management system for tunnel construction machinery as described in claim 2, characterized in that, The process of obtaining the first deviation is as follows: The current construction progress percentage is obtained by comparing the amount of work completed by the second equipment in the current process with the total amount of work in the current process. From the completed construction cycles, retrieve the actual operation time of each operation under the same surrounding rock grade and the same process when the current construction progress percentage is reached, and calculate the average value of the retrieved actual operation time as the reference time at the current construction progress. The difference between the time already used by the second equipment in the current process and the reference time is calculated to obtain the first deviation.

7. The collaborative management system for tunnel construction machinery as described in claim 1, characterized in that, The process of obtaining the second deviation is as follows: The current surrounding rock deformation is continuously collected at set time intervals to obtain the time series data of the current surrounding rock deformation. Retrieve the historical deformation data from the same period in the current construction phase under the current surrounding rock grade; and identify the type of construction process currently underway. Based on the current process type, the deformation characteristic value reflecting the state of the surrounding rock under the current process type is calculated using the time series data of the current surrounding rock deformation. Based on the historical time series data of deformation, the same deformation characteristic values ​​are obtained in the same way. The deviation of the current deformation characteristic value from the historical deformation characteristic value of the same period is calculated as the second deviation.

8. The collaborative management system for tunnel construction machinery as described in claim 5, characterized in that, The process of generating the collaborative decision result is as follows: The difference between the estimated remaining working hours and the historical working hours of the current process under the current surrounding rock grade is calculated to obtain the working hour deviation. The deviation of working hours, the absolute value of the first deviation and the absolute value of the second deviation are compared with the historical data corresponding to the completed construction cycle under the current surrounding rock level to determine their respective order positions in the historical data when arranged from largest to smallest. When parallel construction is carried out, if the order position of the absolute value of the second deviation is in the first third interval, a collaborative judgment result is generated to synchronously adjust the current mechanical operating parameters of the first and second equipment. When the construction is performed sequentially and the second equipment is a subsequent process, if the time deviation is positive and its position is in the first third of the interval, a collaborative judgment result is generated to delay the start-up time of the second equipment; if the position of the absolute value of the first deviation or the absolute value of the second deviation is in the first third of the interval, a collaborative judgment result is generated to adjust the current mechanical operating parameters of the second equipment.

9. The collaborative management system for tunnel construction machinery as described in claim 1, characterized in that, The process of generating control commands is as follows: When the collaborative determination result is to synchronously adjust the mechanical operating parameters of the first and second equipment, the adjustment range of the mechanical operating parameters of the first and second equipment is determined based on the absolute value of the second deviation and the average value of the corresponding historical data, and a synchronous adjustment instruction is generated. When the collaborative judgment result is to delay the start-up timing of the second device, the delay duration of the second device is determined based on the deviation of the working hours and the average of the corresponding historical data, and a start-up timing adjustment instruction is generated. When the collaborative judgment result is to adjust the mechanical operating parameters of the second equipment, the adjustment range of the mechanical operating parameters of the second equipment is determined based on the absolute value of the first deviation or the absolute value of the second deviation and the average value of the corresponding historical data, and a separate adjustment instruction is generated.

10. A collaborative management system for tunnel construction machinery as described in claim 1, characterized in that, Also includes: As the construction cycle is completed, the actual working time of the current construction cycle and the corresponding mechanical operating parameters are added to the historical data, and the historical correlation data between mechanical parameters and working hours, the historical working hours of each process, and the historical connection time between processes are updated.

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