Shield construction operation electromechanical parameter monitoring method and system

Abstract

The invention relates to the field of intelligent monitoring devices in urban rail transit shield construction, in particular to a shield construction operation electromechanical parameter monitoring method and a shield construction operation electromechanical parameter monitoring system. In the test monitoring process, limit data of a tunneling state and existing limit working state data of electromechanical equipment are extracted and can be combined or independently recorded to form data in a conventional state to be compared, an expected residual loss value is obtained through insulation loss calculation, and the expected residual loss value is compared with the expected residual loss value, so that a test result is obtained. Reference expected parameters can be obtained in real time, and the influence on the shield equipment caused by limit parameters generated by the equipment due to special geology in the repair and maintenance process of the shield equipment and the tunneling process can be judged in a preset manner, so that subsequent construction plans and maintenance plans can be judged.

Description

Technical Field

[0001] This invention relates to the field of intelligent monitoring devices in shield tunneling construction of urban rail transit, and particularly to a method and system for monitoring electromechanical parameters during shield tunneling operation. Background Technology

[0002] In the current system, tunnel boring machines (TBMs) are the most basic equipment in subway construction. The number of TBMs put into use each day and the existing stock are relatively fixed. TBM technology is constantly being updated and upgraded, while the lifespan of existing TBMs is relatively fixed. However, if predictive maintenance of TBMs can be carried out, construction costs can be reduced in actual construction, and the service life of idle TBMs can be extended to meet the future development needs of infrastructure construction. At present, TBMs integrate a variety of electromechanical equipment. The main factors involved in failures come from some temperature control parameters of the equipment operation. These parameters can reflect the operating status of the equipment, while the more core electromechanical equipment operating parameters require more complex testing and inspection procedures.

[0003] For example, Chinese invention patent application CN117686902A, entitled "A Test Method for Shield Tunneling Machine Motors," describes a method for conducting parameter testing of the main electromechanical equipment of a shield tunneling machine under no-load conditions. Specifically, it involves: testing the motor under test according to test instructions, including parameters such as ambient temperature, insulation resistance, DC resistance, power frequency withstand voltage, and inter-turn withstand voltage; determining whether the collected parameters of the motor under test meet the preset design values ​​required by the manufacturer; if all parameters meet the design values, recording the data and conducting a no-load test; if at least one parameter exceeds the design value, repairing the motor, continuing testing after repair until all parameters meet the design values, and then conducting a no-load test.

[0004] This large-scale, comprehensive inspection targets newly built tunnel boring machines (TBMs). In fact, for existing TBMs, if the relevant electromechanical parameters can be tested through pre-set methods, reliable technical evidence can be provided to extend the service life of the TBMs. Summary of the Invention

[0005] The present invention aims to solve the technical problem that existing shield tunneling machines and in-service shield tunneling equipment lack online real-time monitoring of electromechanical equipment data to obtain reliable and pre-set facility usage status, and provides a method and system for monitoring electromechanical parameters during shield tunneling construction and operation.

[0006] Technical issues: The specific technical solution of the present invention is as follows:

[0007] Firstly, a method for monitoring electromechanical parameters during shield tunneling operation is provided, specifically including:

[0008] Step S1: Determine the number of electromechanical devices corresponding to each tunnel boring machine during operation and the power operation parameters of the corresponding electromechanical devices (1). Data is recorded to obtain average dynamic operating parameters. The average power operating parameter record The average parameters were obtained by separately analyzing the types of electromechanical equipment (1). ;

[0009] The average parameter The unit is expressed as current value or power value;

[0010] Step S2: Extract the maximum values ​​of the power operating parameters of the electromechanical equipment when the tunnel boring machine is in the tunneling state, and statistically analyze them using the ultimate power operating parameters of the electromechanical equipment to obtain the ultimate operating average parameters. ;

[0011] The extreme operating average parameter It can be expressed as the maximum current or power value designed for the electromechanical equipment;

[0012] The expected value of remaining loss is calculated through an insulation loss calculation process;

[0013] Step S3, the insulation loss calculation process is as follows:

[0014] By using a Markov chain matrix, the power operating parameters and limiting parameters of different electromechanical equipment are correlated with the operating state, and the expected value of remaining losses is obtained based on the operating time of the operating state. ;

[0015] Step S4, set the desired value With the expected value of the remaining loss The comparison, the set expected value Greater than the expected value of the remaining loss When this happens, an alarm fault message is generated.

[0016] Specifically, in step S3, the probability of damage to the tunnel boring machine's electrical equipment is set as the first calculation matrix:

[0017] ;

[0018] in, Indicates at the scheduled time The probability of transitioning from the trial operation state to the extreme operation state;

[0019] in, This is a symbol for the trial operation status. To represent the symbol for the limit state, the first computational matrix is ​​decomposed into:

[0020] ;

[0021] in, Symbols indicating the trial operation status of the total number of electromechanical equipment;

[0022] in, Symbols representing the extreme operating states of the total number of electromechanical equipment;

[0023] Based on Markov chain matrix The second computational submatrix is ​​given as follows:

[0024] ;

[0025] in, This represents the average value from the trial operation state to the extreme operation state. The remaining lifespan, set as a trial operation state, can be expressed as:

[0026] ;

[0027] This represents the average time spent in the extreme operating state.

[0028] Specifically, the extreme operating state can be designated as a deteriorated state.

[0029] Specifically, the electromechanical equipment includes:

[0030] Electric drive components of the propulsion device;

[0031] Electric drive components of the grouting device;

[0032] The electric drive components of the rock breaker.

[0033] Specifically, when the power operating parameters of the electromechanical equipment are recorded, they are recorded in pairs of parameter values ​​and at preset time intervals.

[0034] Within a preset time period, data pairs with significantly different values ​​are extracted from multiple sets of paired records.

[0035] The shield tunneling operation electromechanical parameter monitoring system, employing the aforementioned shield tunneling operation electromechanical parameter monitoring method, includes:

[0036] The data recording module is used to record the electromechanical power operating parameters of one or more identical electromechanical devices.

[0037] A data storage module is used to connect to the data recording module and to record the electromechanical power operating parameters in pairs;

[0038] The data extraction module is used to identify data in the electromechanical power operating parameters that exceed the preset range within the preset time recording range;

[0039] A data combination module is used to combine data exceeding a preset range with a limit data to form the limit state parameters;

[0040] The data processing module processes the data of the electromechanical equipment into an expression value of the expected value of the remaining energy consumption based on the insulation loss calculation process.

[0041] The data early warning module is used to compare the expected value of remaining consumption with the set expected value Y. If the set expected value Y is greater than the expected value of remaining consumption M, an alarm fault information is generated.

[0042] Specifically, the device for recording power operating parameters includes: one or more processors; and a storage device for storing one or more programs, which are executed by the one or more processors.

[0043] Specifically, it includes: a storage medium for storing computer-executable instructions.

[0044] The present invention has the following beneficial effects:

[0045] This technical solution conducts experimental monitoring of the power operation parameters of various electromechanical devices in tunnel boring machines (TBMs). During the experimental monitoring process, extreme data such as those under tunneling conditions and existing extreme working conditions of the electromechanical devices are extracted. These two data can be combined or recorded separately to form data that is compared with data under normal conditions. The expected value of remaining loss is obtained by calculating insulation loss. By comparing this expected value with the expected value, reference parameters can be obtained in real time. This allows for the pre-set judgment of the impact of TBM maintenance, repairs, and extreme parameters caused by special geological conditions during tunneling on the TBM, in order to determine subsequent construction planning and maintenance plans. Attached Figure Description

[0046] The present invention will now be described in further detail with reference to the accompanying drawings and specific embodiments.

[0047] Figure 1 This is a schematic diagram of the steps of the method of the present invention;

[0048] Figure 2 This is a schematic diagram of the test monitoring process of the present invention;

[0049] Figure 3 This is a schematic diagram of the system configuration of the present invention.

[0050] The reference numerals in the figure are:

[0051] Data recording module 100, data storage module 200, data extraction module 300, data combination module 400, data processing module 500, and data early warning module 600. Detailed Implementation

[0052] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention. It should be noted that, for ease of description, in this application, "left side" is referred to as "first end", "right side" as "second end", "upper side" as "first end", and "lower side" as "second end" in the current view. The purpose of such description is to clearly express the technical solution and should not be construed as an improper limitation of the technical solution of this application.

[0053] This invention addresses the technical problem of existing tunnel boring machines (TBMs) and in-service TBMs lacking online real-time monitoring data for electromechanical equipment to obtain reliable and pre-programmable facility usage status. It provides a method and system for monitoring electromechanical parameters during TBM construction and operation. First, please refer to... Figure 1 , 2 As shown, the method for monitoring electromechanical parameters during shield tunneling construction includes:

[0054] Step S1: Determine the number of electromechanical devices corresponding to each tunnel boring machine during operation and the power operation parameters of the corresponding electromechanical devices (1). Data is recorded to obtain average dynamic operating parameters. The average power operating parameter record The average parameters were obtained by separately analyzing the types of electromechanical equipment (1). ;

[0055] The average parameter The unit is expressed as current value or power value;

[0056] Step S2: Extract the maximum values ​​of the power operating parameters of the electromechanical equipment when the tunnel boring machine is in the tunneling state, and statistically analyze them using the ultimate power operating parameters of the electromechanical equipment to obtain the ultimate operating average parameters. ;

[0057] The extreme operating average parameter It can be expressed as the maximum current or power value designed for the electromechanical equipment;

[0058] The expected value of remaining loss is calculated through an insulation loss calculation process;

[0059] Step S3, the insulation loss calculation process is as follows:

[0060] By using a Markov chain matrix, the power operating parameters and limiting parameters of different electromechanical equipment are correlated with the operating state, and the expected value of remaining losses is obtained based on the operating time of the operating state. ;

[0061] Step S4, set the desired value With the expected value of the remaining loss The comparison, the set expected value Greater than the expected value of the remaining loss When this happens, an alarm fault message is generated.

[0062] This technical solution conducts experimental monitoring of the power operation parameters of various electromechanical devices in tunnel boring machines (TBMs). During the experimental monitoring process, extreme data such as those under tunneling conditions and existing extreme working conditions of the electromechanical devices are extracted. These two data can be combined or recorded separately to form data that is compared with data under normal conditions. The expected value of remaining loss is obtained by calculating insulation loss. By comparing this expected value with the expected value, reference parameters can be obtained in real time. This allows for the pre-set judgment of the impact of TBM maintenance, repairs, and extreme parameters caused by special geological conditions during tunneling on the TBM, in order to determine subsequent construction planning and maintenance plans.

[0063] In this technical solution's method for calculating the remaining expected value of insulation loss, the principle of the insulation loss calculation process is as follows: More reasonable probabilities are used to test and monitor relatively independent electromechanical equipment within the tunnel boring machine (TBM). In reality, during operation, the electrical energy driven by the TBM is distributed to each piece of electromechanical equipment, meaning there is operational linkage between them. Early-stage faults can be detected through abnormalities in early-stage power generation parameters, i.e., abnormalities in individual electromechanical equipment. The method employs a probabilistic estimation of the simulated motor insulation degradation process, specifically:

[0064] The probability of damage to the tunnel boring machine's electromechanical equipment is set as follows: The first calculation matrix is:

[0065] ;

[0066] in, Indicates at the scheduled time The probability of transitioning from the trial operation state to the extreme operation state;

[0067] in, This is a symbol for the trial operation status. To represent the symbol for the limit state, the first computational matrix is ​​decomposed into:

[0068] ;

[0069] in, Symbols indicating the trial operation status of the total number of electromechanical equipment;

[0070] in, Symbols representing the extreme operating states of the total number of electromechanical equipment;

[0071] Based on Markov chain matrix The second computational submatrix is ​​given:

[0072] ;

[0073] in, This represents the average value from the trial operation state to the extreme operation state. The remaining lifespan, set as a trial operation state, can be expressed as:

[0074] ;

[0075] This represents the average time spent in the extreme operating state.

[0076] In a specific implementation, the extreme operating state can be designated as the deteriorated state.

[0077] It should be noted that: deterioration state refers to a state in which a single piece of electromechanical equipment is about to enter the maintenance period, or the electromechanical equipment has multiple maintenance records. When applying this method, the equipment is specified as deterioration state.

[0078] The setting for obtaining the expected remaining loss of electromechanical equipment through individual testing and inspection in this application belongs to a series of independent random variables or continuous random variables, which is a discrete model. The estimation of the expected value of this type of model can be achieved by using a Markov chain, and the first calculation matrix is ​​the basic matrix of the Markov chain matrix.

[0079] In one specific implementation, the electromechanical equipment includes:

[0080] The propulsion system of a tunnel boring machine (TBM) is its core power system, mainly composed of hydraulic equipment and shield jacks. The hydraulic system drives the jacks to generate thrust, propelling the TBM forward. The electrically driven components include hydraulic pumps, electromagnetic proportional pressure regulating valves, and pressure sensors.

[0081] The electric drive components of the grouting device, such as the dual-liquid grouting pump, can reach pressures of up to 12 MPa;

[0082] High-pressure mortar pump, discharge capacity 10m³ / h, head 220m;

[0083] The electric drive component of a rock breaker is primarily the cutterhead of the tunnel boring machine (TBM). The cutterhead is driven by a hydraulic motor, and its rotation speed and propulsion force can be precisely adjusted.

[0084] In one specific implementation, when the power operation parameters of the electromechanical equipment 1 are recorded, they are recorded in pairs of parameter values ​​and at preset time intervals.

[0085] Within a preset time period, data pairs with significantly different values ​​are extracted from multiple sets of paired records.

[0086] In a specific implementation, a system applying methods for monitoring electromechanical parameters during tunnel boring machine (TBM) construction includes:

[0087] The data recording module 100 is used to record the electromechanical power operation parameters of one or more identical electromechanical devices 1.

[0088] Data storage module 200, which is connected to data recording module 100, is used to record the electromechanical operating parameters of the recorder in pairs;

[0089] The data extraction module 300 is used to identify data in electromechanical power operating parameters that exceed the preset range within the preset time recording range;

[0090] The data combination module 400 is used to combine data exceeding the preset range with a limit data to form limit state parameters;

[0091] The data processing module 500 processes the data of electromechanical equipment into an expression value of the expected value of residual energy based on the insulation loss calculation process.

[0092] The data early warning module 600 is used to compare the expected value of remaining consumption with the set expected value Y. However, if the set expected value Y is greater than the expected value of remaining consumption M, an alarm fault information is generated.

[0093] In one specific implementation, the device for recording power operating parameters includes: one or more processors; and a storage device for storing one or more programs when the one or more programs are executed by the one or more processors.

[0094] In one specific implementation, it includes: a storage medium for storing computer-executable instructions.

[0095] The above are merely preferred embodiments and the technical principles applied in accordance with the present invention. Those skilled in the art will understand that the embodiments of the present invention are not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions can be made by those skilled in the art without departing from the protection scope of the embodiments of the present invention. Therefore, although the embodiments of the present invention have been described in detail through the above embodiments, the embodiments of the present invention are not limited to the above embodiments, and include many other equivalent embodiments without departing from the concept of the embodiments of the present invention, and the scope of the embodiments of the present invention is determined by the scope of the appended claims.

[0096] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will readily recognize various variations and modifications based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations. However, obvious variations and modifications derived therefrom remain within the scope of this invention.

[0097] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will readily recognize various variations and modifications based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations. However, obvious variations and modifications derived therefrom remain within the scope of this invention.

Claims

1. A method for monitoring electromechanical parameters during shield tunneling operation, characterized in that, include: Step S1: Determine the number of electromechanical devices corresponding to each tunnel boring machine during operation and the power operation parameters of the corresponding electromechanical devices (1). Data is recorded to obtain average dynamic operating parameters. The average power operating parameter record The average parameters were obtained by separately analyzing the types of electromechanical equipment (1). ; The average parameter The unit is expressed as current value or power value; Step S2: Extract the maximum values ​​of the power operating parameters of the electromechanical equipment when the tunnel boring machine is in the tunneling state, and statistically analyze them using the ultimate power operating parameters of the electromechanical equipment to obtain the ultimate operating average parameters. ; The extreme operating average parameter It can be expressed as the maximum current or power value designed for the electromechanical equipment; The expected value of remaining loss is calculated through an insulation loss calculation process; Step S3, the insulation loss calculation process is as follows: By using a Markov chain matrix, the power operating parameters and limiting parameters of different electromechanical equipment are correlated with the operating state, and the expected value of remaining losses is obtained based on the operating time of the operating state. ; Step S4, set the desired value With the expected value of the remaining loss The comparison, the set expected value Greater than the expected value of the remaining loss When this happens, an alarm fault message is generated.

2. The method for monitoring electromechanical parameters during shield tunneling operation as described in claim 1, characterized in that, In step S3, the probability of damage to the tunnel boring machine's electrical equipment is set as follows: The first calculation matrix is: ； in, Indicates at the scheduled time The probability of transitioning from the trial operation state to the extreme operation state; in, This is a symbol for the trial operation status. To represent the symbol for the limit state, the first computational matrix is ​​decomposed into: ； in, Symbols indicating the trial operation status of the total number of electromechanical equipment; in, Symbols representing the extreme operating states of the total number of electromechanical equipment; Based on Markov chain matrix The second computational submatrix is ​​given: ； in, This represents the average value from the trial operation state to the extreme operation state. The remaining lifespan, set as a trial operation state, can be expressed as: ； This represents the average time spent in the extreme operating state.

3. The method for monitoring electromechanical parameters during shield tunneling operation as described in claim 2, characterized in that, The extreme operating state can be designated as a deteriorated state.

4. The method for monitoring electromechanical parameters during shield tunneling operation as described in claim 3, characterized in that, The electromechanical equipment includes: Electric drive components of the propulsion device; Electric drive components of the grouting device; The electric drive components of the rock breaker.

5. The method for monitoring electromechanical parameters during shield tunneling operation as described in claim 4, characterized in that, When the power operation parameters of the electromechanical equipment (1) are recorded, they are recorded in pairs of parameter recording values ​​and are recorded at a preset time interval. Within a preset time period, data pairs with significantly different values ​​are extracted from multiple sets of paired records.

6. A shield tunneling operation electromechanical parameter monitoring system, employing the shield tunneling operation electromechanical parameter monitoring method as described in claim 5, characterized in that, include: The data recording module (100) is used to record the electromechanical power operation parameters of one or more identical electromechanical devices (1); A data storage module (200) is used to connect to the data recording module (100) and to record the electromechanical power operating parameters in pairs; A data extraction module (300) is used to identify data in the electromechanical power operating parameters that exceed the preset range within the preset time recording range; A data combination module (400) is used to combine data exceeding a preset range with a limit data to form the limit state parameters; The data processing module (500) processes the data of the electromechanical equipment into an expression value of the expected value of the remaining energy consumption based on the insulation loss calculation process. The data early warning module (600) is used to compare the expected value of remaining consumption with the set expected value Y. However, if the set expected value Y is greater than the expected value of remaining consumption M, an alarm fault information is generated.

7. The shield tunneling operation electromechanical parameter monitoring system as described in claim 6, characterized in that, A device for recording power operating parameters, the device comprising: one or more processors; and a storage device for storing one or more programs, which are executed by the one or more processors.

8. The shield tunneling operation electromechanical parameter monitoring system as described in claim 7, characterized in that, include: A storage medium for storing computer-executable instructions.

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