Shield tunneling machine cutterhead state electric control evaluation system and method
By designing the electronic control evaluation system for the cutter wheel status of the shield machine, the scraper, tear blade and hob status in the cutter wheel is monitored and evaluated in real time, the problem of difficult to monitor these tool status in the existing technology is solved, and the accurate evaluation of the operating status of the cutter wheel and the timely discovery of abnormal problems is achieved, and construction efficiency and safety are improved.
Patent Information
- Application Number
- CN202510042929.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-10
- Publication Date
- 2025-04-04
- Estimated Expiration
- 2045-01-10
AI Technical Summary
The prior art is difficult to monitor and evaluate the state of scrapers and tear blades in the shield machine blade in real time, resulting in excessive wear or damage to the tool, which affects the overall operating status of the blade.
A shield machine cutter wheel state electronic control evaluation system is designed, including scraper and tear blade state evaluation module, hob blade state evaluation module and cutter evaluation module. Through historical data storage, real-time data acquisition and multi-module collaboration, the toolbar evaluation indicators are generated to determine the current operating status of the toolbar.
It realizes comprehensive monitoring and comprehensive evaluation of the operating status of the core components of the cutting wheel, accurately reflect the overall operating status of the cutting wheel, timely discovers abnormal problems, and improves the construction efficiency and operation safety of the shield machine.
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Figure CN119754786A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of shield machine cutter head evaluation, and in particular to an electronically controlled evaluation system and method for a shield machine cutter head state. Background Art
[0002] As the core equipment for tunnel construction, the cutterhead of the shield machine is responsible for the key tasks of crushing rocks, cutting soil and cleaning impurities. The three types of cutters on the cutterhead, namely the roller cutter, scraper and tearing cutter, each play a different role and adapt to various complex geological conditions through division of labor and cooperation. However, under the long-term high-load working state of the shield machine, the cutterhead's cutters will gradually show problems such as wear and abnormal force, which directly affects the construction efficiency and equipment safety. In particular, the scraper and tearing cutter, because their main function is to clean soil, gravel and broken stones, are usually located at the edge of the cutterhead, and their status is difficult to monitor directly.
[0003] In the prior art, the monitoring of the status of the shield machine cutterhead is often limited to a single dimension, such as detecting the wear of the cutter by regular shutdown or relying on a single sensor to collect operating data. These methods have problems such as detection lag, one-sided data, or difficulty in grasping the overall health status of the cutterhead in real time. In addition, different types of cutters (such as rollers, tearing knives, and scrapers) have their own operating characteristics and wear laws, and scrapers and tearing knives are difficult to install reliable sensors for real-time monitoring due to their scattered working positions and complex usage. During the long-term continuous operation of the shield machine, the operating status and wear of the scraper and tearing knife cannot be understood in real time, which may cause excessive wear or damage of the cutter to not be discovered in time, thereby affecting the overall operating status of the cutterhead. In general, the lack of targeted and comprehensive evaluation methods makes it difficult to accurately quantify the overall status of the cutterhead.
[0004] Therefore, there is an urgent need for an electronically controlled evaluation system and method that can comprehensively monitor and evaluate the status of the cutterhead of a shield machine, so as to achieve accurate judgment and dynamic management of the operating status of the cutterhead and tools, and ensure the safety and efficiency of shield construction. Summary of the invention
[0005] In view of the deficiencies in the prior art, the present invention provides a shield machine cutterhead status electronic control evaluation system and method, which solves the problems in the background technology.
[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a shield machine cutterhead state electronic control evaluation system, comprising: The scraper and tearing knife state evaluation module is used to evaluate the scraper and tearing knife on the knife disc and determine the overall state evaluation coefficient of the scraper and tearing knife on the knife disc; A hob condition evaluation module is used to evaluate the hob on the cutter disc and determine the overall condition evaluation coefficient of the hob on the cutter disc; The cutter disc evaluation module is used to evaluate the state of the cutter disc according to the overall state evaluation coefficient of the scraper and tearing knife on the cutter disc and the overall state evaluation coefficient of the roller on the cutter disc, determine the cutter disc evaluation index, and judge the current operating state of the cutter disc according to the cutter disc evaluation index.
[0007] As a further solution of the present invention: the scraper and tearing knife state evaluation module includes a historical data storage unit, a reference data determination unit, and a scraper and tearing knife state evaluation unit; A historical data storage unit is used to store the usage time data of the scraper and the tearing knife, and the usage data set of the scraper is used to store the usage time of each scraper in the past; and the usage data set of the tearing knife is used to store the usage time of each tearing knife in the past; A benchmark data determination unit, used to determine a benchmark usage time of the scraper and a benchmark usage time of the tearing knife respectively according to the scraper usage data set and the tearing knife usage data set in the historical data storage unit; The scraper and tearing knife state evaluation unit is used to obtain the scraper benchmark usage time and the tearing knife benchmark usage time, and comprehensively evaluate the scraper and tearing knife on the cutter disc according to the scraper benchmark usage time and the tearing knife benchmark usage time, so as to determine the overall state evaluation coefficient of the scraper and tearing knife on the cutter disc; The hob state evaluation module includes a hob data acquisition unit, a data analysis unit, and a hob state evaluation unit; A hob data acquisition unit is used to collect the working data of each hob during operation, the working data including the hob rotation data, the hob radius data, the hob temperature data and the hob stress data; A data analysis unit is used to analyze and judge the current real-time index of each hob according to the hob rotation data, hob radius data, hob temperature data and hob stress data in the working data, and determine the index coefficient of the real-time index of each hob; wherein the real-time index includes the rotation index, wear index, temperature index and stress index; A hob state evaluation unit is used to evaluate the operating state of each hob according to the index coefficient of the real-time index of each hob, and then determine the overall state evaluation coefficient of the hob on the cutter disc; The cutterhead evaluation module includes a cutterhead evaluation unit and an early warning unit; A cutter disc evaluation unit, used to evaluate the state of the cutter disc according to the overall state evaluation coefficient of the scraper and tearing knife on the cutter disc and the overall state evaluation coefficient of the roller on the cutter disc, and determine the cutter disc evaluation index; The early warning unit determines the current operating status of the cutter disc based on the cutter disc evaluation indicators.
[0008] As a further solution of the present invention: the specific method of determining the scraper reference usage time and the tearing knife reference usage time respectively according to the scraper usage data set and the tearing knife usage data set in the historical data storage unit is: AS1: Get the scraper usage dataset and the tear knife usage dataset, and extract the scraper usage dataset and the tear knife usage dataset respectively from the current moment. Scraper usage data and The tearing knife usage data, among which, is the default value; AS2: Extract Scraper usage data and Each data in the tear knife usage data is marked as and ,in, , Expressed as of the scraper usage data Scraper usage data, Expressed as The rip knife usage data Ripping knife usage data; AS3: Then calculate separately Scraper usage data and The average value of the tearing knife usage data is marked as and ; AS4: Calculated by the following formula Discrete values of scraper usage data : ; Calculated by the following formula The discrete value of the tear knife usage data : ; AS5: Get discrete values , the discrete value With threshold For comparison: like ,Will The average value of scraper usage data As the scraper benchmark usage time, the scraper benchmark usage time is marked as ; like ,according to The results of Sort from large to small, and select the first one each time Exclude the remaining Recalculate its discrete value until the discrete value , get to exclude Number of ,like ,calculate indivual The average value of is used as the scraper benchmark usage time, and the scraper benchmark usage time is marked as ;like ,calculate indivual The average value of is used as the scraper benchmark usage time, and the scraper benchmark usage time is marked as ;in, .
[0009] As a further solution of the present invention: also include: AS6: Get discrete values , the discrete value With threshold For comparison: like ,Will The average value of the tearing knife usage data as the tear knife benchmark usage time; and mark the tear knife benchmark usage time as ; like ,according to The results of Sort from large to small, and select the first one each time Exclude the remaining Recalculate its discrete value until the discrete value , get to exclude Number of ,like ,calculate indivual The average value of is used as the scraper benchmark usage time, and the scraper benchmark usage time is marked as ;like ,calculate indivual The average value of is used as the scraper benchmark usage time, and the scraper benchmark usage time is marked as ;in, .
[0010] As a further solution of the present invention: the scraper and the tearing knife on the knife disc are comprehensively evaluated according to the scraper benchmark usage time and the tearing knife benchmark usage time, and the specific method of determining the overall state evaluation coefficient of the scraper and the tearing knife on the knife disc is: BS1: Determine the number of scrapers and tearing knives installed on the knife disc, and mark the scrapers and tearing knives on the knife disc as and ,in, , , Expressed as the total number of scrapers on the blade disc, It is expressed as the total number of tearing knives on the knife disc; BS2: Then determine each scraper The length of time it has been installed on the cutter head is marked as , and get the scraper benchmark usage time , calculate each scraper by the following formula Usage percentage: Get each scraper The usage ratio of all scrapers on the cutter disc is evaluated by the following formula to determine the overall status evaluation coefficient of the scraper: in, For the The weight of the scraper, and satisfy ; BS3: Then determine each tearing knife The length of time it has been installed on the cutter head is marked as , and obtain the tearing knife benchmark usage time , calculate each tearing knife by the following formula Usage percentage: Get every ripping knife The usage ratio of all the tearing knives on the knife disc is evaluated by the following formula to determine the overall status evaluation coefficient of the tearing knife: in, For the The weight of the scraper, and satisfy .
[0011] As a further solution of the present invention: the specific method of analyzing and judging the current real-time index of each hob according to the hob rotation data, hob radius data, hob temperature data and hob stress data in the working data and determining the index coefficient of the real-time index of each hob is: CS1: randomly select a hob from the cutter head as the target hob; CS2: Determine the index coefficient of the target hob rotation index by the following formula: in, Expressed as the index coefficient of the rotation condition index, It is expressed as the current rotation angular velocity of the hob. Expressed as the theoretical rotation angular velocity; CS3: Determine the index coefficient of the target hob wear index by the following formula: in, The index coefficient expressed as a wear condition index, Represents the current radius of the hob, It is represented as the initial radius of the hob, It is indicated as the minimum radius of the hob. When it is lower than the minimum radius of the hob, it indicates that the hob is seriously worn and needs to be replaced. CS4: The index coefficient of the target hob temperature condition index is determined by the following function: in, Expressed as the index coefficient of the temperature condition index, Indicates the current temperature of the hob. Indicated as the upper limit of safe temperature, Expressed as the limiting operating temperature of the hob; CS5: The index coefficient of the target hob stress condition index is determined by the following function: in, is the index coefficient of the stress condition index, It is the actual force on the hob. It is expressed as the safe force range, Expressed as the ultimate force value; CS6: Repeat steps CS2-CS5, taking each hob on the cutter head as the target hob, and determining the index coefficient of the real-time index status of the target hob.
[0012] As a further solution of the present invention: the specific method of evaluating the operating state of each hob according to the index coefficient of the real-time index of each hob and then determining the overall state evaluation coefficient of the hob on the cutter disc is: DS1: The evaluation value for each reel operating state is determined by the following formula: in, Expressed as The evaluation value of the operating status of the hob, , Expressed as the total number of hobs on the cutterhead; DS2: Then get The evaluation value of the hob operating status is used to determine the overall status evaluation coefficient of the hob on the cutter disc through the following formula: in, It is expressed as the overall condition assessment coefficient of the hob on the cutterhead.
[0013] As a further solution of the present invention: the cutter disc state is evaluated according to the overall state evaluation coefficient of the scraper and tearing knife on the cutter disc and the overall state evaluation coefficient of the roller on the cutter disc, and the specific method of determining the cutter disc evaluation index is as follows: The cutterhead evaluation index is determined by the following formula: in, Expressed as the cutterhead evaluation index, , and is the weight factor.
[0014] As a further solution of the present invention: the specific method of judging the current operating state of the cutter disc according to the cutter disc evaluation index is: like , indicating that the current operating status of the cutter head is not good, and an alarm is sent to the subsequent monitoring display terminal; among them, is the default value; like , indicating that the current operating status of the cutter disc is normal and no action is required.
[0015] A shield machine cutterhead state electronic control evaluation method, comprising: Step 1: Evaluate the scraper and tearing knife on the cutter disc to determine the overall state evaluation coefficient of the scraper and tearing knife on the cutter disc; Step 2: Evaluate the roller cutters on the cutter head and determine the overall condition evaluation coefficient of the roller cutters on the cutter head; Step 3: Evaluate the state of the cutter disc according to the overall state evaluation coefficient of the scraper and tearing knife on the cutter disc and the overall state evaluation coefficient of the roller on the cutter disc, determine the cutter disc evaluation index, and judge the current operating state of the cutter disc according to the cutter disc evaluation index.
[0016] The present invention provides a shield machine cutterhead status electronic control evaluation system and method. Compared with the prior art, it has the following beneficial effects: The shield machine cutter head status electronic control evaluation system and method provided by the present invention realizes comprehensive monitoring and comprehensive evaluation of the operating status of the core components of the cutter head through the coordinated work of the scraper, tearing knife and roller cutter status evaluation modules; through the use of historical data, the collection and dynamic analysis of real-time data, and the evaluation indicators generated by multi-module collaboration, the system can accurately reflect the overall operating status of the cutter head, discover abnormal problems in time, and effectively improve the construction efficiency and operating safety of the shield machine.
[0017] In addition, the system adopts a flexible parameter adjustment mechanism and multi-dimensional data fusion technology, which is not only suitable for different geological conditions and construction requirements, but also provides maintenance suggestions to operators in a timely manner through the early warning function, reducing the risk of failure and construction costs. Overall, this invention significantly improves the scientificity, reliability and intelligence level of shield machine cutterhead operation status assessment, and provides strong support for the safety and efficiency of shield construction. BRIEF DESCRIPTION OF THE DRAWINGS
[0018] The present invention will be further described below in conjunction with the accompanying drawings.
[0019] Figure 1 This is a structural framework diagram of an electronically controlled evaluation system for the cutterhead state of a shield machine according to the present invention; Figure 2 The present invention is a flowchart of the steps of a method for electrically controlling the status of a shield machine cutter head. DETAILED DESCRIPTION
[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0021] Example 1: Please refer to Figure 1-Figure 2 ,The present invention provides a shield machine cutterhead state electronic control evaluation system, comprising; A scraper and tearing knife state evaluation module is used to evaluate the scraper and tearing knife on the knife disc and determine the overall state evaluation coefficient of the scraper and tearing knife on the knife disc. The scraper and tearing knife state evaluation module includes a historical data storage unit, a reference data determination unit, and a scraper and tearing knife state evaluation unit; A historical data storage unit is used to store the usage time data of the scraper and the tearing knife, and the usage data set of the scraper is used to store the usage time of each scraper in the past; and the usage data set of the tearing knife is used to store the usage time of each tearing knife in the past; Specifically, in the storage of the duration of each use of the scraper in the past and the storage of the duration of each use of the tearing knife in the past, the storage of the duration of each use of the scraper in the past is represented by the usage duration of the scraper from being installed on the cutter disc in good condition to being scrapped, and the storage of the duration of each use of the tearing knife in the past is represented by the usage duration of the tearing knife from being installed on the cutter disc in good condition to being scrapped; It should be noted that for a general shield machine, a cutter head is generally equipped with a roller cutter, a tearing cutter and a scraper. The roller cutter is mainly used to crush rocks, the tearing cutter is used to scrape sand and soil into small pieces, and the scraper is used to scrape off soil and gravel. The three blades have different height differences and cooperate with each other. The length of time the scraper is used and the length of time the tearing cutter is used are expressed as the length of time the shield machine is working during excavation. A benchmark data determination unit, used to determine a benchmark usage time of the scraper and a benchmark usage time of the tearing knife respectively according to the scraper usage data set and the tearing knife usage data set in the historical data storage unit; The specific method of determining the scraper reference usage time and the tearing knife reference usage time respectively according to the scraper usage data set and the tearing knife usage data set in the historical data storage unit is: AS1: Get the scraper usage dataset and the tear knife usage dataset, and extract the scraper usage dataset and the tear knife usage dataset respectively from the current moment. Scraper usage data and The tearing knife usage data, among which, is a preset value, which is determined by professional staff. In this embodiment, is 60; AS2: Extract Scraper usage data and Each data in the tear knife usage data is marked as and ,in, , Expressed as of the scraper usage data Scraper usage data, Expressed as The rip knife usage data Ripping knife usage data; AS3: Then calculate separately Scraper usage data and The average value of the tearing knife usage data is marked as and ; AS4: Calculated by the following formula Discrete values of scraper usage data : ; Calculated by the following formula The discrete value of the tear knife usage data : ; AS5: Get discrete values , the discrete value With threshold For comparison: like ,Will The average value of scraper usage data As the scraper benchmark usage time, the scraper benchmark usage time is marked as ; where the threshold Determined by professional staff; like ,according to The results of Sort from large to small, and select the first one each time Exclude the remaining Recalculate its discrete value until the discrete value , get to exclude Number of ,like ,calculate indivual The average value of is used as the scraper benchmark usage time, and the scraper benchmark usage time is marked as ;like ,calculate indivual The average value of is used as the scraper benchmark usage time, and the scraper benchmark usage time is marked as ;in, ;
[0022] AS6: Get discrete values , the discrete value With threshold For comparison: like ,Will The average value of the tearing knife usage data as the tear knife benchmark usage time; and mark the tear knife benchmark usage time as ; Among them, the threshold Determined by professional staff; like ,according to The results of Sort from large to small, and select the first one each time Exclude the remaining Recalculate its discrete value until the discrete value , get to exclude Number of ,like ,calculate indivual The average value of is used as the scraper benchmark usage time, and the scraper benchmark usage time is marked as ;like ,calculate indivual The average value of is used as the scraper benchmark usage time, and the scraper benchmark usage time is marked as ;in, ; The scraper and tearing knife state evaluation unit is used to obtain the scraper benchmark usage time and the tearing knife benchmark usage time, and comprehensively evaluate the scraper and tearing knife on the cutter disc according to the scraper benchmark usage time and the tearing knife benchmark usage time, so as to determine the overall state evaluation coefficient of the scraper and tearing knife on the cutter disc; The specific method of comprehensively evaluating the scraper and tearing knife on the knife disc according to the scraper benchmark usage time and the tearing knife benchmark usage time to determine the overall state evaluation coefficient of the scraper and tearing knife on the knife disc is: BS1: Determine the number of scrapers and tearing knives installed on the knife disc, and mark the scrapers and tearing knives on the knife disc as and ,in, , , Expressed as the total number of scrapers on the blade disc, It is expressed as the total number of tearing knives on the knife disc; BS2: Then determine each scraper The length of time it has been installed on the cutter head is marked as , and get the scraper benchmark usage time , calculate each scraper by the following formula Usage percentage: Get each scraper The usage ratio of all scrapers on the cutter disc is evaluated by the following formula to determine the overall status evaluation coefficient of the scraper: in, For the The specific parameter value is determined by professional staff according to the installation position of the scraper (such as close to the center or edge) or the actual workload distribution, and meets the requirements of ; BS3: Then determine each tearing knife The length of time it has been installed on the cutter head is marked as , and obtain the tearing knife benchmark usage time , calculate each tearing knife by the following formula Usage percentage: Get every ripping knife The usage ratio of all the tearing knives on the knife disc is evaluated by the following formula to determine the overall status evaluation coefficient of the tearing knife: in, For the The specific parameter value is determined by professional staff according to the installation position of the scraper (such as close to the center or edge) or the actual workload distribution, and meets the requirements of ; By collecting statistics and storing the historical usage data of scrapers and tearing knives, combined with the calculation of dynamic benchmark usage time, the status of the tools can be accurately evaluated; by calculating discrete values and eliminating abnormal data, the module effectively reduces the interference of abnormal data on the evaluation results, ensuring the stability and reliability of the evaluation; in addition, the module introduces the concept of scraper and tearing knife weights, combined with the tool installation position and actual workload, further improving the accuracy of the evaluation results and adaptability to working conditions; finally, the module can generate the overall status evaluation coefficient of the scraper and tearing knife on the cutter disc, laying the foundation for the evaluation of the overall status of the cutter disc, effectively improving the monitoring capability of the tool status, and reducing construction risks; A hob state evaluation module is used to evaluate the hob on the cutter disc and determine the overall state evaluation coefficient of the hob on the cutter disc. The hob state evaluation module includes a hob data acquisition unit, a data analysis unit, and a hob state evaluation unit; A hob data acquisition unit is used to collect the working data of each hob during operation, the working data including the hob rotation data, the hob radius data, the hob temperature data and the hob stress data; Specifically, for the collection of the self-rotation data of the hob, a rotation sensor is installed in the bearing of the hob to monitor the self-rotation of the hob; at the same time, a protective groove or a sealed cavity is set on the surface of the cutter disc, and the sensor is embedded therein to prevent it from being directly exposed to high pressure, impact and wear environment; for the collection of the stress data of the hob, a stress sensor is embedded in the hob fixing seat to sense the stress condition of the hob; for the collection of the temperature data of the hob, a temperature sensor is arranged in the lubrication cavity of the bearing of the hob, and the temperature of the hob is indirectly judged by monitoring the temperature change of the bearing; for the collection of the radius data of the hob, a high-precision displacement sensor (such as a linear displacement sensor or an eddy current displacement sensor) is used near the hob, and the probe of the displacement sensor contacts the outer edge of the hob. As the hob wears, the displacement of the sensor probe reflects the radius change; A data analysis unit is used to analyze and judge the current real-time index of each hob according to the hob rotation data, hob radius data, hob temperature data and hob stress data in the working data, and determine the index coefficient of the real-time index of each hob; wherein the real-time index includes the rotation index, wear index, temperature index and stress index; The specific method of analyzing and judging the current real-time index of each hob based on the hob rotation data, hob radius data, hob temperature data and hob stress data in the working data and determining the index coefficient of the real-time index of each hob is as follows: CS1: randomly select a hob from the cutter head as the target hob; CS2: Determine the index coefficient of the target hob rotation index by the following formula: in, Expressed as the index coefficient of the rotation condition index, It is represented by the current angular velocity of the hob rotation. It is expressed as the theoretical rotation angular velocity. The specific parameter value is determined by professional staff based on past data and experience. CS3: Determine the index coefficient of the target hob wear index by the following formula: in, The index coefficient expressed as an index of wear condition, Represents the current radius of the hob, It is represented as the initial radius of the hob, It is indicated as the minimum radius of the hob. When it is lower than the minimum radius of the hob, it indicates that the hob is seriously worn and needs to be replaced. CS4: The index coefficient of the target hob temperature condition index is determined by the following function: in, Expressed as the index coefficient of the temperature condition index, Indicates the current temperature of the hob. Indicated as the upper limit of safe temperature, It is expressed as the limiting operating temperature of the hob. and The specific parameter values are determined by professional staff based on experience; CS5: The index coefficient of the target hob stress condition index is determined by the following function: in, is the index coefficient of the stress condition index, It is the actual force on the hob. It is expressed as the safe force range, Expressed as the ultimate force value; and The specific parameter values are determined by professional staff based on experience; CS6: Repeat steps CS2-CS5, take each hob on the cutter head as the target hob, and determine the index coefficient of the real-time index condition of the target hob; A hob state evaluation unit is used to evaluate the operating state of each hob according to the index coefficient of the real-time index of each hob, and then determine the overall state evaluation coefficient of the hob on the cutter disc; The specific method of evaluating the operating status of each hob according to the index coefficient of the real-time index of each hob and then determining the overall status evaluation coefficient of the hob on the cutter disc is: DS1: The evaluation value for each reel operating state is determined by the following formula: in, Expressed as The evaluation value of the operating status of the hob, , Expressed as the total number of hobs on the cutterhead; It should be noted that the formula In , , and Both are expressed as The index coefficient of the real-time index of the hob is Hob, formula In , , and The values of are different; DS2: Then get The evaluation value of the hob operating status is used to determine the overall status evaluation coefficient of the hob on the cutter disc through the following formula: in, It is expressed as the overall condition assessment coefficient of the hob on the cutterhead; Based on the four core indicators of cutter rotation, wear, temperature and stress, the system collects data in real time through embedded sensors to comprehensively monitor the operating status of each cutter. The sensor layout and protection design avoid the direct impact of harsh environments on monitoring equipment, improving the durability of the system and data collection accuracy. The multi-dimensional analysis method within the module can dynamically evaluate the status of each cutter based on real-time data, and generate the overall status evaluation coefficient of the cutter disc cutter by integrating the operating indicators of individual cutters. A cutter disc evaluation module is used to evaluate the state of the cutter disc according to the overall state evaluation coefficient of the scraper and tearing knife on the cutter disc and the overall state evaluation coefficient of the roller cutter on the cutter disc, determine the cutter disc evaluation index, and judge the current operation state of the cutter disc according to the cutter disc evaluation index. The cutter disc evaluation module includes a cutter disc evaluation unit and an early warning unit; A cutter disc evaluation unit, used to evaluate the state of the cutter disc according to the overall state evaluation coefficient of the scraper and tearing knife on the cutter disc and the overall state evaluation coefficient of the roller on the cutter disc, and determine the cutter disc evaluation index; The specific method of evaluating the state of the cutter disc according to the overall state evaluation coefficient of the scraper and tearing knife on the cutter disc and the overall state evaluation coefficient of the roller cutter on the cutter disc and determining the cutter disc evaluation index is as follows: The cutterhead evaluation index is determined by the following formula: in, Expressed as the cutterhead evaluation index, , and is the weight factor; The early warning unit determines the current operating status of the cutter disc according to the cutter disc evaluation indicators; The specific method of judging the current operating status of the cutter disc according to the cutter disc evaluation index is: like , indicating that the current operating status of the cutter head is not good, and an alarm is sent to the subsequent monitoring display terminal; among them, These are preset values, and the specific parameters are determined by professional staff based on a large number of experiments; like , indicating that the current operation status of the cutter disc is normal and no action is required; By combining the status assessment coefficients of the scraper and tearing knife and the overall status assessment coefficient of the roller cutter, the overall operating status of the cutter disc is comprehensively assessed to generate a unified cutter disc assessment index; the module flexibly adjusts the weight factors to adapt to different construction scenarios and the characteristics of the cutter disc design, thus providing a guarantee for the accuracy of the assessment results; at the same time, the module has a built-in early warning function, which can promptly issue abnormal operation alarms to operators through dynamic judgment of the evaluation indicators, ensuring that maintenance measures can be taken quickly when the cutter disc is in poor condition, thereby reducing construction delays and the risk of failure; overall, the module significantly improves the safety and operating efficiency of the shield machine cutter disc through the integrated analysis of multiple evaluation results and dynamic early warning of abnormal conditions.
[0023] Embodiment 2: In the specific implementation process of this embodiment, based on Embodiment 1, and different from Embodiment 1, this embodiment further provides a shield machine cutter head state electric control evaluation method, which is implemented in the following manner: Step 1: Evaluate the scraper and tearing knife on the cutter disc to determine the overall state evaluation coefficient of the scraper and tearing knife on the cutter disc; Step 2: Evaluate the roller cutters on the cutter head and determine the overall condition evaluation coefficient of the roller cutters on the cutter head; Step 3: Evaluate the state of the cutter disc according to the overall state evaluation coefficient of the scraper and tearing knife on the cutter disc and the overall state evaluation coefficient of the roller on the cutter disc, determine the cutter disc evaluation index, and judge the current operating state of the cutter disc according to the cutter disc evaluation index.
[0024] Embodiment 3: This embodiment includes all the above-mentioned implementation processes in its specific implementation process.
[0025] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.
[0026] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.
Claims
1. A shield machine cutterhead status electronic control evaluation system, characterized in that: include: The scraper and tearing knife state evaluation module is used to evaluate the scraper and tearing knife on the knife disc and determine the overall state evaluation coefficient of the scraper and tearing knife on the knife disc; A hob condition evaluation module is used to evaluate the hob on the cutter disc and determine the overall condition evaluation coefficient of the hob on the cutter disc; The cutter disc evaluation module is used to evaluate the state of the cutter disc according to the overall state evaluation coefficient of the scraper and tearing knife on the cutter disc and the overall state evaluation coefficient of the roller on the cutter disc, determine the cutter disc evaluation index, and judge the current operating state of the cutter disc according to the cutter disc evaluation index.
2. The shield machine cutterhead status electronic control evaluation system according to claim 1, characterized in that: The scraper and tearing knife state assessment module includes a historical data storage unit, a reference data determination unit, and a scraper and tearing knife state assessment unit; A historical data storage unit is used to store the usage time data of the scraper and the tearing knife, and the usage data set of the scraper is used to store the usage time of each scraper in the past; and the usage data set of the tearing knife is used to store the usage time of each tearing knife in the past; A benchmark data determination unit, used to determine a benchmark usage time of the scraper and a benchmark usage time of the tearing knife respectively according to the scraper usage data set and the tearing knife usage data set in the historical data storage unit; The scraper and tearing knife state evaluation unit is used to obtain the scraper benchmark usage time and the tearing knife benchmark usage time, and comprehensively evaluate the scraper and tearing knife on the cutter disc according to the scraper benchmark usage time and the tearing knife benchmark usage time, so as to determine the overall state evaluation coefficient of the scraper and tearing knife on the cutter disc; The hob state evaluation module includes a hob data acquisition unit, a data analysis unit, and a hob state evaluation unit; A hob data acquisition unit is used to collect the working data of each hob during operation, wherein the working data includes the hob rotation data, the hob radius data, the hob temperature data and the hob stress data; A data analysis unit is used to analyze and judge the current real-time index of each hob according to the hob rotation data, hob radius data, hob temperature data and hob stress data in the working data, and determine the index coefficient of the real-time index of each hob; wherein the real-time index includes the rotation index, wear index, temperature index and stress index; A hob state evaluation unit is used to evaluate the operating state of each hob according to the index coefficient of the real-time index of each hob, and then determine the overall state evaluation coefficient of the hob on the cutter disc; The cutterhead evaluation module includes a cutterhead evaluation unit and an early warning unit; A cutter disc evaluation unit, used to evaluate the state of the cutter disc according to the overall state evaluation coefficient of the scraper and tearing knife on the cutter disc and the overall state evaluation coefficient of the roller on the cutter disc, and determine the cutter disc evaluation index; The early warning unit determines the current operating status of the cutter disc based on the cutter disc evaluation indicators.
3. The shield machine cutterhead status electronic control evaluation system according to claim 2, characterized in that: The specific method of determining the scraper reference usage time and the tearing knife reference usage time respectively according to the scraper usage data set and the tearing knife usage data set in the historical data storage unit is: AS1: Get the scraper usage dataset and the tear knife usage dataset, and extract the scraper usage dataset and the tear knife usage dataset respectively from the current moment. Scraper usage data and The tearing knife usage data, among which, is the default value; AS2: Extract Scraper usage data and Each data in the tear knife usage data is marked as and ,in, , Expressed as of the scraper usage data Scraper usage data, Expressed as The rip knife usage data Ripping knife usage data; AS3: Then calculate separately Scraper usage data and The average value of the tearing knife usage data is marked as and ; AS4: Calculated by the following formula Discrete values of scraper usage data : ; Calculated by the following formula The discrete value of the tear knife usage data : ; AS5: Get discrete values , the discrete value With threshold For comparison: like ,Will The average value of scraper usage data As the scraper benchmark usage time, the scraper benchmark usage time is marked as ; like ,according to The results of Sort from large to small, and select the first one each time Exclude the remaining Recalculate its discrete value until the discrete value , get to exclude Number of ,like ,calculate indivual The average value of is used as the scraper benchmark usage time, and the scraper benchmark usage time is marked as ;like ,calculate indivual The average value of is used as the scraper benchmark usage time, and the scraper benchmark usage time is marked as ;in, .
4. The shield machine cutterhead status electronic control evaluation system according to claim 3, characterized in that: Also includes: AS6: Get discrete values , the discrete value With threshold For comparison: like ,Will The average value of the tearing knife usage data as the tear knife benchmark usage time; and mark the tear knife benchmark usage time as ; like ,according to The results of Sort from large to small, and select the first one each time Exclude the remaining Recalculate its discrete value until the discrete value , get to exclude Number of ,like ,calculate indivual The average value of is used as the scraper benchmark usage time, and the scraper benchmark usage time is marked as ;like ,calculate indivual The average value of is used as the scraper benchmark usage time, and the scraper benchmark usage time is marked as ;in, .
5. The shield machine cutterhead status electronic control evaluation system according to claim 4, characterized in that: The specific method of comprehensively evaluating the scraper and tearing knife on the knife disc according to the scraper benchmark usage time and the tearing knife benchmark usage time to determine the overall state evaluation coefficient of the scraper and tearing knife on the knife disc is: BS1: Determine the number of scrapers and tearing knives installed on the knife disc, and mark the scrapers and tearing knives on the knife disc as and ,in, , , Expressed as the total number of scrapers on the blade disc, It is expressed as the total number of tearing knives on the knife disc; BS2: Then determine each scraper The length of time it has been installed on the cutter head is marked as , and get the scraper benchmark usage time , calculate each scraper by the following formula Usage percentage: Get each scraper The usage ratio of all scrapers on the cutter disc is evaluated by the following formula to determine the overall status evaluation coefficient of the scraper: in, For the The weight of the scraper, and satisfy ; BS3: Then determine each tearing knife The length of time it has been installed on the cutter head is marked as , and obtain the tearing knife benchmark usage time , calculate each tearing knife by the following formula Usage percentage: Get every ripping knife The usage ratio of all the tearing knives on the knife disc is evaluated by the following formula to determine the overall status evaluation coefficient of the tearing knife: in, For the The weight of the scraper, and satisfy .
6. The shield machine cutterhead status electronic control evaluation system according to claim 5, characterized in that: The specific method of analyzing and judging the current real-time index of each hob based on the hob rotation data, hob radius data, hob temperature data and hob stress data in the working data and determining the index coefficient of the real-time index of each hob is as follows: CS1: randomly select a hob from the cutter head as the target hob; CS2: Determine the index coefficient of the target hob rotation index by the following formula: in, Expressed as the index coefficient of the rotation condition index, It is represented by the current angular velocity of the hob rotation. Expressed as the theoretical rotation angular velocity; CS3: Determine the index coefficient of the target hob wear index by the following formula: in, The index coefficient expressed as a wear condition index, Represents the current radius of the hob, It is represented as the initial radius of the hob, It is the minimum radius of the hob. When it is lower than the minimum radius of the hob, it indicates that the hob is seriously worn and needs to be replaced. CS4: The index coefficient of the target hob temperature condition index is determined by the following function: in, Expressed as the index coefficient of the temperature condition index, Indicates the current temperature of the hob. Indicated as the upper limit of safe temperature, Expressed as the limiting operating temperature of the hob; CS5: The index coefficient of the target hob stress condition index is determined by the following function: in, is the index coefficient of the stress condition index, It is the actual force on the hob. It is expressed as the safe force range, Expressed as the ultimate force value; CS6: Repeat steps CS2-CS5, taking each hob on the cutter head as the target hob, and determining the index coefficient of the real-time index status of the target hob.
7. The shield machine cutterhead status electronic control evaluation system according to claim 6, characterized in that: The specific method of evaluating the operating status of each hob according to the index coefficient of the real-time index of each hob and then determining the overall status evaluation coefficient of the hob on the cutter disc is: DS1: The evaluation value for each reel operating state is determined by the following formula: in, Expressed as The evaluation value of the operating status of the hob, , Expressed as the total number of hobs on the cutterhead; DS2: Then get The evaluation value of the hob operating status is used to determine the overall status evaluation coefficient of the hob on the cutter disc through the following formula: in, It is expressed as the overall condition assessment coefficient of the hob on the cutterhead.
8. The shield machine cutterhead status electronic control evaluation system according to claim 7, characterized in that: The specific method of evaluating the state of the cutter disc according to the overall state evaluation coefficient of the scraper and tearing knife on the cutter disc and the overall state evaluation coefficient of the roller cutter on the cutter disc and determining the cutter disc evaluation index is as follows: The cutterhead evaluation index is determined by the following formula: in, Expressed as the cutterhead evaluation index, , and is the weight factor.
9. The shield machine cutterhead status electronic control evaluation system according to claim 8, characterized in that: The specific method of judging the current operating status of the cutter disc according to the cutter disc evaluation index is: like , indicating that the current operating status of the cutter head is not good, and an alarm is sent to the subsequent monitoring display terminal; among them, is the default value; like , indicating that the current operating status of the cutter disc is normal and no action is required.
10. A shield machine cutterhead status electronic control evaluation method, the method is applied to a shield machine cutterhead status electronic control evaluation system according to any one of claims 1 to 9, characterized in that: include: Step 1: Evaluate the scraper and tearing knife on the cutter disc to determine the overall state evaluation coefficient of the scraper and tearing knife on the cutter disc; Step 2: Evaluate the roller cutters on the cutter head and determine the overall condition evaluation coefficient of the roller cutters on the cutter head; Step 3: Evaluate the state of the cutter disc according to the overall state evaluation coefficient of the scraper and tearing knife on the cutter disc and the overall state evaluation coefficient of the roller on the cutter disc, determine the cutter disc evaluation index, and judge the current operating state of the cutter disc according to the cutter disc evaluation index.
Citation Information
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