Tunneling equipment type selection method based on multi-parameter coupling

Abstract

The invention provides a tunneling equipment type selection method based on multi-parameter coupling. The tunneling equipment type selection method comprises the following steps: acquiring basic parameters of a roadway; preliminarily screening applicable equipment types according to the surrounding rock grade and a predefined equipment adaptability comparison table; determining a final equipment type selection coefficient according to the roadway basic parameters, the applicable equipment type and a geological condition correction coefficient obtained in advance; the theoretical cutting power of the applicable equipment type is determined according to the roadway basic parameters, the applicable equipment type and the final equipment type selection coefficient; determining the equipment type selection power according to the applicable equipment type and the theoretical cutting power; and determining the type of the type selection equipment according to the applicable equipment type and the equipment type selection power. According to the method, by constructing the equipment type selection model and coupling multiple parameters such as the equipment type, the geological condition and the surrounding rock grade, full-process collaborative type selection of the heading machine is achieved, capacity matching and efficient operation of various types of equipment on the working face can be ensured, and the problems of resource waste or equipment overload and potential safety hazards are avoided.

Description

Technical Field

[0001] This invention relates to the field of coal mine underground roadway engineering technology, and in particular to a method for selecting tunneling equipment based on multi-parameter coupling. Background Technology

[0002] Coal mine tunneling is a complex system engineering project involving multiple processes, and the rationality of equipment selection is directly related to tunneling efficiency, construction safety and economic benefits.

[0003] Traditional equipment selection relies heavily on engineers' personal experience, lacking a systematic, scientific, and precise approach. Furthermore, calculations of tunneling machine power are often based on a single parameter (such as tunnel cross-section), and even when formulas exist, they generally suffer from the following drawbacks:

[0004] (1) The decisive influence of surrounding rock stability (surrounding rock grade) on equipment selection was not fully considered;

[0005] (2) The equipment type (cantilever, tunneling and anchoring machine, etc.) was not included as a core dimension in the calculation;

[0006] (3) No dynamic compensation mechanism has been established for complex geological conditions such as high gas content and steep inclination.

[0007] Therefore, traditional equipment selection often results in a mismatch between equipment capacity and geological conditions, leading to resource waste ("oversized equipment pulling a small cart") or equipment overload and safety hazards ("undersized equipment pulling a large cart"). Summary of the Invention

[0008] The purpose of this invention is to provide a method for selecting tunneling equipment based on multi-parameter coupling, in order to solve the problem in the prior art where equipment selection relies solely on personal experience and does not consider multi-parameter coupling, resulting in a mismatch between the selected equipment capacity and geological conditions, thus leading to resource waste, equipment overload, and safety hazards.

[0009] To achieve the above objectives, the present invention provides the following technical solution: a method for selecting tunneling equipment based on multi-parameter coupling, wherein the method includes the following steps:

[0010] Obtain basic parameters of the tunnel; the basic parameters of the tunnel include the cross-sectional shape and cross-section of the tunnel.

[0011] Area, surrounding rock grade, Protodyakonov coefficient, daily advance, daily cutting volume, and operating procedures;

[0012] Based on the surrounding rock grade and the predefined equipment adaptability comparison table, the applicable equipment types are initially screened.

[0013] The final equipment selection coefficient is determined based on the basic parameters of the tunnel, the applicable equipment type, and the pre-obtained geological condition correction coefficient.

[0014] Based on the basic parameters of the roadway, the applicable equipment type, and the final equipment selection coefficient, the theoretical cutting power of the applicable equipment type is obtained;

[0015] The power of the selected equipment is determined based on the applicable equipment type and the theoretical cutting power.

[0016] The selected equipment model is determined based on the applicable equipment type and the selected equipment power.

[0017] Optionally, obtaining the basic parameters of the roadway includes:

[0018] Obtain the cross-sectional shape of the tunnel, the cross-sectional area of ​​the tunnel, the daily advance, and the operating system;

[0019] The surrounding rock grade is determined based on the distance between the roof and the unsupported roof and / or the distance between the sidewalls of the roadway.

[0020] The Protodyakonov coefficient is determined based on the typical rock strata type of the tunnel; the daily cutting volume is determined based on the cross-sectional area of ​​the tunnel and the daily advance.

[0021] Optionally, the step of basing the information on the basic parameters of the roadway, the applicable equipment type, and pre-obtained data...

[0022] The geological condition correction factor is used to determine the final equipment selection factor, including:

[0023] Based on the surrounding rock grade and the Protodyakonov coefficient, a predefined equipment selection coefficient table is consulted to determine the basic equipment selection coefficient;

[0024] The basic equipment selection coefficient is dynamically compensated based on the basic equipment selection coefficient, the roadway cross-sectional area, and the geological condition correction coefficient to determine the final equipment selection coefficient.

[0025] Optionally, the step of dynamically compensating the basic equipment selection coefficient based on the basic equipment selection coefficient, the roadway cross-sectional area, and the geological condition correction coefficient to determine the final equipment selection coefficient includes:

[0026] The roadway cross-sectional area correction coefficient is obtained based on the roadway cross-sectional area;

[0027] Based on the geological conditions of the tunnel and a predefined geological condition correction coefficient table, the geological condition correction coefficient is obtained;

[0028] Based on the correction coefficient for the cross-sectional area of ​​the tunnel and the correction coefficient for the geological conditions, the base...

[0029] The basic equipment selection coefficient is dynamically compensated to determine the final equipment selection coefficient.

[0030] Optionally, the final equipment selection coefficient can be calculated using the following formula:

[0031] Final equipment selection coefficient = basic equipment selection coefficient + tunnel cross-sectional area correction coefficient + geological condition correction coefficient.

[0032] Optionally, obtaining the theoretical cutting power of the applicable equipment type based on the basic parameters of the roadway, the applicable equipment type, and the final equipment selection coefficient includes:

[0033] The cutting energy ratio is determined based on the typical rock strata type of the tunnel.

[0034] Determine the effective cutting time coefficient based on the applicable equipment type;

[0035] The daily production time, time utilization rate, and shift coefficient are determined based on the aforementioned work system.

[0036] The influence function of the Protodyakonov coefficients is determined based on the applicable equipment type and the Protodyakonov coefficients.

[0037] The theoretical cutting power is determined based on the daily cutting volume, the cutting specific energy, the effective cutting time coefficient, the daily production time, the time utilization rate, the shift system coefficient, the Protodyakonov coefficient influence function, and the final equipment selection coefficient in the basic parameters of the roadway.

[0038] Optionally, determining the Protodyakonov coefficient influence function based on the applicable equipment type and the Protodyakonov coefficient includes:

[0039] The first parameter and the second parameter are determined according to the applicable equipment type;

[0040] Based on the Protodyakonov coefficient, the first parameter, and the second parameter, the influence function of the Protodyakonov coefficient is calculated using the following formula:

[0041] Wherein, Φ(f) represents the influence function of the Protodyakonov coefficient, and f represents the Protodyakonov coefficient.

[0042] Optionally, the theoretical cutting power of the applicable device can also be calculated using the following formula:

[0043] Where: P 理论The theoretical cutting power is represented by e; the specific cutting energy is represented by e; the daily cutting volume is represented by V; Φ(f) represents the Protodyakonov coefficient influence function, where f represents the Protodyakonov coefficient; Γ represents the final equipment selection coefficient; t represents the daily production time; η represents the time utilization rate; ξ p K represents the effective cutting time coefficient; K represents the shift system coefficient.

[0044] Optionally, the basic parameters of the roadway also include lithology; the step of determining the equipment selection power based on the applicable equipment type and the theoretical cutting power includes:

[0045] If the applicable equipment type is a cantilever tunneling machine or a cantilever roadheader, the recommended power of the equipment gear is determined based on the rock type, the theoretical cutting power, and the predefined cantilever equipment selection decision table.

[0046] The power of the selected equipment is determined based on the theoretical cutting power and the recommended power of the equipment gear.

[0047] Optionally, if the applicable equipment type is a horizontal axis tunneling and anchoring machine, the selected power of the equipment is determined in the following way:

[0048] The power of the selected equipment is determined based on the cross-sectional area of ​​the roadway, the pre-set minimum cross-sectional area of ​​the roadway, and the Protodyakonov coefficient.

[0049] Compared with existing technologies, the tunneling equipment selection method based on multi-parameter coupling provided by this invention has the following advantages:

[0050] This invention provides a method for selecting tunneling equipment based on multi-parameter coupling: First, basic tunnel parameters are obtained, including tunnel cross-sectional shape and area, surrounding rock grade, Protodyakonov coefficient, daily advance, daily cutting volume, and operating procedures. Then, based on the surrounding rock grade and a predefined equipment adaptability comparison table, suitable equipment types are initially screened. Next, based on the basic tunnel parameters, the suitable equipment types, and pre-obtained geological condition correction coefficients, a final equipment selection coefficient is determined. Then, based on the basic tunnel parameters, the suitable equipment types, and the final equipment selection coefficient, the theoretical cutting power of the suitable equipment type is obtained. Next, based on the suitable equipment type and the theoretical cutting power, the selected equipment power is determined. Finally, based on the suitable equipment type and the selected equipment power, the selected equipment model is determined. Therefore, this invention constructs an equipment selection model, coupling multiple parameters such as equipment type, geological conditions, and surrounding rock grade, to promote the equipment selection work from traditional empiricism to the theoretical calculation stage. Furthermore, by introducing a dynamic compensation mechanism, it fully adapts to complex geological conditions, significantly improving the accuracy and safety of selection in harsh environments. The system realizes collaborative selection of tunneling machines throughout the entire process, ensuring the capability matching and efficient operation of various equipment at the working face, and avoiding problems such as resource waste, equipment overload, and safety hazards.

[0051] Furthermore, through automated calculations and decision support, the time spent on manual operations and the selection cycle are significantly reduced, the over-reliance on the experience of professional personnel is reduced, and the design efficiency and engineering reliability are comprehensively improved. Attached Figure Description

[0052] Figure 1 This is a schematic diagram of a tunneling equipment selection method based on multi-parameter coupling provided in one embodiment of the present invention;

[0053] Figure 2 The tunneling equipment selection method based on multi-parameter coupling provided by the present invention is applied to a tunneling machine selection flowchart in one specific embodiment. Detailed Implementation

[0054] The following detailed description, in conjunction with the accompanying drawings and specific embodiments, further illustrates the multi-parameter coupling-based tunneling equipment selection method proposed in this invention. The advantages and features of this invention will become clearer from the following description. It should be noted that the accompanying drawings are all in a very simplified form and use non-precise scales, and are only used to facilitate and clarify the illustration of the embodiments of this invention.

[0055] In the description of this invention, it should be understood that the terms "center", "upper", "lower", "left", "right", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0056] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0057] The core idea of ​​this invention is to provide a method for selecting tunneling equipment based on multi-parameter coupling. This invention constructs an equipment selection model and couples multiple parameters such as equipment type, geological conditions, and surrounding rock grade, thereby shifting the equipment selection process from traditional empiricism to theoretical calculation. Furthermore, by introducing a dynamic compensation mechanism, it fully adapts to complex geological conditions, significantly improving the accuracy and safety of selection in harsh environments. The system realizes collaborative selection of tunneling machines throughout the entire process, ensuring the matching of capabilities and efficient operation of various equipment at the working face, and avoiding resource waste, equipment overload, and safety hazards.

[0058] To achieve the above-mentioned ideas, one embodiment of the present invention provides a method for selecting tunneling equipment based on multi-parameter coupling. For example, please refer to [link to relevant documentation]. Figure 1 and Figure 2 , Figure 1 This is a schematic diagram of a tunneling equipment selection method based on multi-parameter coupling provided in one embodiment of the present invention. Figure 2 The tunneling equipment selection method based on multi-parameter coupling provided by this invention is applied to a tunneling machine selection flowchart in one specific embodiment. For example... Figure 1 As shown, the tunneling equipment selection method based on multi-parameter coupling includes the following steps:

[0059] S100: Obtain basic roadway parameters; the basic roadway parameters include roadway cross-sectional shape and area, surrounding rock grade, Protodyakonov coefficient, daily advance, daily cutting volume and operating system;

[0060] S200: Based on the surrounding rock grade and the predefined equipment adaptability comparison table, preliminary screening of applicable equipment types is conducted;

[0061] S300: Determine the final equipment selection coefficient based on the basic parameters of the roadway, the applicable equipment type, and the pre-obtained geological condition correction coefficient;

[0062] S400: Based on the basic parameters of the roadway, the applicable equipment type, and the final equipment selection coefficient, the theoretical cutting power of the applicable equipment type is obtained;

[0063] S500: Determine the equipment selection power based on the applicable equipment type and the theoretical cutting power;

[0064] S600: Determine the selected equipment model based on the applicable equipment type and the selected equipment power.

[0065] This invention provides a multi-parameter coupling-based method for selecting tunneling equipment. By acquiring the basic parameters of the tunnel and incorporating them into each stage of the equipment selection process, the method comprehensively considers multiple parameters during equipment selection, thereby effectively improving the systematicness, scientific nature, and accuracy of equipment selection. Furthermore, by dynamically compensating the equipment selection coefficient based on the basic parameters of the tunnel and different geological conditions, the calculation parameters for the selected equipment power are further optimized, ensuring that the selected equipment is fully adapted to the complex geological conditions of the tunnel and further improving the compatibility between the selected equipment and the tunnel. Thus, this invention, by constructing an equipment selection model and coupling multiple parameters such as equipment type, geological conditions, and surrounding rock grade, promotes the shift of equipment selection from traditional empiricism to theoretical calculation. Moreover, by introducing a dynamic compensation mechanism, it fully adapts to complex geological conditions, significantly improving the accuracy and safety of selection in harsh environments. The system achieves collaborative selection of tunneling machines throughout the entire process, ensuring the capability matching and efficient operation of various equipment at the working face, and avoiding resource waste, equipment overload, and safety hazards.

[0066] For example, in some exemplary embodiments, step S100 of obtaining the basic parameters of the roadway includes:

[0067] S110: Obtain the cross-sectional shape of the tunnel, the cross-sectional area of ​​the tunnel (also known as the dimensions of the tunnel), the daily advance, and the operating system;

[0068] S120: Determine the surrounding rock grade based on the roof-to-roof distance and / or the sidewall-to-side distance of the roadway;

[0069] S130: Determine the Protodyakonov coefficient based on the typical rock strata type of the tunnel;

[0070] S140: Determine the daily cutting volume (e.g., the daily coal output volume of the roadway) based on the roadway cross-sectional area and the daily advance.

[0071] Therefore, by obtaining the basic parameters of the tunnel, the present invention provides multiple parameters required in the multi-parameter coupling-based tunneling equipment selection method provided by the present invention, which is the premise and foundation for realizing the equipment selection method provided by the present invention.

[0072] Preferably, in some exemplary embodiments, the cross-sectional shape of the tunnel can be, but is not limited to, rectangular, semi-circular arch, trapezoidal, or circular. This provides a good foundation for the initial screening of suitable equipment types based on the tunnel cross-sectional shape. It should be noted that the present invention does not impose any limitation on the cross-sectional shape of the tunnel. For example, please refer to... Figure 2 ,like Figure 2 As shown, in some specific embodiments, if the tunnel cross-section (shape) is rectangular, the applicable equipment type is a cantilever tunneling machine, a cantilever roadheader, or a cross-axis roadheader, and then further determined which of these three types it is. In other embodiments, if the tunnel cross-section shape is other than rectangular (such as a semi-circular arch, trapezoid, or circle), the applicable equipment type is a cantilever tunneling machine or a cantilever roadheader. Preferably, in some exemplary embodiments, the tunnel cross-section shape is rectangular.

[0073] Preferably, in some exemplary embodiments, the daily advance is the daily tunnel construction distance. It should be noted that the present invention does not limit the specific value of the daily tunnel construction distance; those skilled in the art can determine the daily tunnel construction distance based on actual construction conditions.

[0074] Preferably, in some exemplary embodiments, the work system includes a "3-8" system and a "4-6" system. The "3-8" system can be an average of three shifts per day, each shift lasting eight hours, with one shift for equipment maintenance and two shifts for production. The "4-6" system can be an average of four shifts per day, each shift lasting six hours, with one shift for equipment maintenance and three shifts for production. It should be noted that the work system includes, but is not limited to, the "3-8" and "4-6" systems. Those skilled in the art can formulate different work systems based on actual construction conditions, which will not be elaborated upon here.

[0075] Preferably, in some exemplary embodiments, determining the surrounding rock grade based on the roof-to-roof distance and / or the sidewall-to-side distance of the roadway includes:

[0076] The surrounding rock grade is determined according to the Correspondence Table of Surrounding Rock Grade Classification in Table 1 below.

[0077] Table 1:

[0078] Preferably, in some exemplary embodiments, determining the Protodyakonov coefficient based on the typical rock strata type of the tunnel includes determining the Protodyakonov coefficient using the corresponding table of rock strata Protodyakonov coefficients in Table 2 below.

[0079] Table 2:

[0080] Preferably, in some exemplary embodiments, determining the daily cutting volume based on the roadway cross-sectional area and the daily advance includes calculating the daily cutting volume using the following formula:

[0081] Wherein, V represents the daily cutting volume, S represents the cross-sectional area of ​​the tunnel, and l represents the daily advance.

[0082] Preferably, in some exemplary embodiments, the applicable equipment types can be initially screened based on the determined surrounding rock grade by consulting a predefined equipment adaptability checklist shown in Table 3 below.

[0083] Table 3:

[0084] For example, in some embodiments, when the surrounding rock grade is ≤ III, it can be seen from Table 3 that the applicable equipment type can be a cantilever tunneling machine, a cantilever roadheader, and a horizontal shaft roadheader; when the surrounding rock grade is > III, it can be seen from Table 3 that the applicable equipment type can be a cantilever tunneling machine and a cantilever roadheader; when the surrounding rock grade is > IV, it can be seen from Table 3 that the applicable equipment type can be a cantilever roadheader.

[0085] Exemplary, in some exemplary embodiments, determining the final equipment selection coefficient based on the basic parameters of the roadway, the applicable equipment type, and pre-acquired geological condition correction coefficients includes:

[0086] Based on the surrounding rock grade and the Protodyakonov coefficient, a predefined equipment selection coefficient table is consulted to determine the basic equipment selection coefficient;

[0087] The basic equipment selection coefficient is dynamically compensated based on the basic equipment selection coefficient, the roadway cross-sectional area, and the geological condition correction coefficient to determine the final equipment selection coefficient.

[0088] Therefore, the tunneling equipment selection method based on multi-parameter coupling provided by the present invention, after determining the basic equipment selection coefficient, introduces a dynamic compensation mechanism to dynamically compensate the basic equipment selection coefficient using the tunnel cross-sectional area and the geological condition correction coefficient, so as to adapt to different geological conditions, especially fully adapt to complex geological conditions, significantly improve the accuracy and safety of equipment selection in harsh environments, improve the adaptability of selected equipment, reduce construction costs, and improve construction efficiency.

[0089] Preferably, in some exemplary embodiments, the basic equipment selection coefficient is obtained by referring to the predefined equipment selection coefficient table shown in Table 4 below based on the surrounding rock grade and the Protodyakonov coefficient.

[0090] Table 4:

[0091] Exemplary, in some exemplary embodiments, the step of dynamically compensating the basic equipment selection coefficient based on the basic equipment selection coefficient, the roadway cross-sectional area, and the geological condition correction coefficient to determine the final equipment selection coefficient includes:

[0092] The roadway cross-sectional area correction coefficient is obtained based on the roadway cross-sectional area;

[0093] Based on the geological conditions of the tunnel and a predefined geological condition correction coefficient table, the geological condition correction coefficient is obtained;

[0094] The basic equipment selection coefficient is dynamically compensated based on the roadway cross-sectional area correction coefficient and the geological condition correction coefficient to determine the final equipment selection coefficient.

[0095] Preferably, in some exemplary embodiments, the initial value of the roadway cross-sectional area correction coefficient is set to 0, and the reference value of the roadway cross-sectional area is set to 20m². 2 When the cross-sectional area of ​​the roadway to be excavated is lower than the reference value of the roadway cross-sectional area, the correction factor for the roadway cross-sectional area is determined to be 0; when the cross-sectional area of ​​the roadway to be excavated increases by 1m compared with the reference value of the roadway cross-sectional area, the correction factor for the roadway cross-sectional area is determined to be 0. 2 The correction factor for the cross-sectional area of ​​the roadway is increased by 0.01, where the area less than 1m... 2 According to 1m 2 calculate.

[0096] Preferably, in some exemplary embodiments, the initial value of the geological condition correction coefficient is set to 0. The correction value of the geological condition correction coefficient is obtained by querying a predefined geological condition correction coefficient table based on the acquired geological conditions of the tunnel. The initial value of the geological condition correction coefficient is then corrected to obtain the final geological condition correction coefficient. For example, the correction value of the geological condition correction coefficient can be obtained by querying the predefined geological condition correction coefficient table shown in Table 5 below, based on the acquired geological conditions of the tunnel.

[0097] Table 5:

[0098] For example, in some exemplary embodiments, the final equipment selection factor is calculated using the following formula:

[0099] Final equipment selection coefficient = basic equipment selection coefficient + tunnel cross-sectional area correction coefficient + geological condition correction coefficient.

[0100] Exemplary, in some exemplary embodiments, obtaining the theoretical cutting power of the applicable equipment based on the basic roadway parameters, the applicable equipment type, and the final equipment selection coefficient includes:

[0101] The cutting energy ratio is determined based on the typical rock strata type of the tunnel.

[0102] Determine the effective cutting time coefficient based on the applicable equipment type;

[0103] The daily production time, time utilization rate, and shift coefficient are determined based on the aforementioned work system.

[0104] The influence function of the Protodyakonov coefficients is determined based on the applicable equipment type and the Protodyakonov coefficients.

[0105] The theoretical cutting power is determined based on the daily cutting volume, the cutting specific energy, the effective cutting time coefficient, the daily production time, the time utilization rate, the shift system coefficient, the Protodyakonov coefficient influence function, and the final equipment selection coefficient in the basic parameters of the roadway.

[0106] Therefore, this invention determines the theoretical cutting power of the applicable equipment based on the basic parameters of the roadway, the applicable equipment type, and the final equipment selection coefficient. By coupling multiple core parameters, the excavation power of the selected equipment is calculated to ensure the matching of the equipment capacity with the geological conditions, avoid the safety hazards caused by resource waste or equipment overload, and further improve construction efficiency.

[0107] Preferably, in some exemplary embodiments, the cutting energy can be obtained by consulting the cutting energy reference table shown in Table 6 below, based on the typical rock strata type of the tunnel.

[0108] Table 6:

[0109] Preferably, in some exemplary embodiments, the effective cutting time coefficient can be determined by consulting the effective cutting time coefficient reference table shown in Table 7 below, based on the applicable equipment type.

[0110] Table 7:

[0111] Preferably, in some exemplary embodiments, when the work system is a "3-8 system", the daily production time is 16 hours, the time utilization rate ranges from 0.70 to 0.80, and the shift coefficient is 1.25; when the work system is a "4-6 system", the daily production time is 18 hours, the time utilization rate ranges from 0.80 to 0.90, and the shift coefficient is 1.05.

[0112] Exemplary, in some exemplary embodiments, determining the Protodyakonov coefficient influence function based on the applicable device type and the Protodyakonov coefficient includes:

[0113] The first parameter and the second parameter are determined according to the applicable equipment type;

[0114] Based on the Protodyakonov coefficient, the first parameter, and the second parameter, the influence function of the Protodyakonov coefficient is calculated using the following formula:

[0115] Wherein, Φ(f) represents the influence function of the Protodyakonov coefficient, and f represents the Protodyakonov coefficient.

[0116] Preferably, in some exemplary embodiments, when the applicable device type is a cantilever type, the first parameter is 0.35 and the second parameter is 1.2; when the applicable device type is a horizontal axis type, the first parameter is 0.22 and the second parameter is 1.5. It should be noted that the specific values ​​of the first and second parameters are merely illustrative, and the present invention does not impose any restrictions on the specific values ​​of the first and second parameters. When implementing the present invention, the values ​​of the first and second parameters should be reasonably set according to actual needs.

[0117] Exemplary, in some exemplary embodiments, the theoretical cutting power of the applicable device is also calculated by the following formula:

[0118] Among them, P 理论 The theoretical cutting power is represented by e; the specific cutting energy is represented by e; the daily cutting volume is represented by V; Φ(f) represents the Protodyakonov coefficient influence function, where f represents the Protodyakonov coefficient; Γ represents the final equipment selection coefficient; t represents the daily production time; η represents the time utilization rate; ξ p K represents the effective cutting time coefficient; K represents the shift system coefficient.

[0119] Therefore, the tunneling equipment selection method based on multi-parameter coupling provided by this invention calculates the theoretical cutting power of the selected equipment by coupling multiple core parameters, ensuring the matching of the equipment capacity with geological conditions, avoiding safety hazards caused by resource waste or equipment overload, and greatly improving construction efficiency.

[0120] Exemplary, in some exemplary embodiments, the basic parameters of the roadway also include lithology; the determination of equipment selection power based on the applicable equipment type and the theoretical cutting power includes:

[0121] If the applicable equipment type is a cantilever tunneling machine or a cantilever roadheader, the recommended power of the equipment gear is determined based on the rock type, the theoretical cutting power, and the predefined cantilever equipment selection decision table; and the selected power of the equipment is determined based on the theoretical cutting power and the recommended power of the equipment gear.

[0122] Preferably, in some exemplary embodiments, the lithology is determined by the Protodyakonov coefficient; if the applicable equipment type is a cantilever tunneling machine or a cantilever roadheader, the lithology can be determined first based on the Protodyakonov coefficient, and then the recommended power of the equipment gear and the selected power of the equipment can be determined by querying the predefined cantilever equipment selection decision table shown in Table 8 below based on the lithology and the theoretical cutting power.

[0123] Table 8:

[0124] For example, in some exemplary embodiments, if the applicable equipment type is a horizontal axis tunneling and anchoring machine, the selected power of the equipment is determined by the following method:

[0125] The power of the selected equipment is determined based on the cross-sectional area of ​​the roadway, the pre-set minimum cross-sectional area of ​​the roadway, and the Protodyakonov coefficient.

[0126] Preferably, in some exemplary embodiments, it is assumed that the pre-set minimum tunnel cross-sectional area is 11.5 m². 2 (i.e., roadways with a width × height of 5000 × 2300 mm or less), if the applicable equipment type is a horizontal axis roadheader, the power of the selected equipment is calculated using the following formula:

[0127] Where S represents the cross-sectional area of ​​the tunnel, S min P represents the pre-set minimum cross-sectional area of ​​the tunnel. 选型 This indicates the power rating of the selected equipment.

[0128] For example, in some of these implementations, please refer to Figure 2 ,like Figure 2 As shown, when the tunnel cross-section is rectangular, the surrounding rock grade is ≤Ⅲ, the tunnel height is ≥2300mm, and the tunnel width is ≥5000mm, the applicable equipment type can be a horizontal axis roadheader / anchor. When the Protodyakonov coefficient f≤5, based on the applicable equipment type being a horizontal axis roadheader / anchor, the selected equipment power can be 270 or 340KW, and the final selected equipment model can be EJM270 / 340 or MB670 / 670-1. When the Protodyakonov coefficient f>5, based on the applicable equipment type being a horizontal axis roadheader / anchor, the selected equipment power can be 560 or 600KW, and the selected equipment model can be EJM560 / 600.

[0129] To better understand this invention, the following will be combined with... Figure 1 and Figure 2 The present invention provides a detailed description of the application of the multi-parameter coupling-based tunneling equipment selection method proposed in this invention to a specific embodiment.

[0130] S100: Obtain basic roadway parameters. In this example, the basic roadway parameters are as follows: the roadway cross-sectional shape is rectangular, the typical rock stratum type is soft coal seam, the roadway cross-sectional area S = 20 m², the surrounding rock grade is Class V, based on the typical rock stratum type being soft coal seam, referring to Table 2 (the Protodyakonov coefficient classification table), the Protodyakonov coefficient f = 3, the daily advance l = 18 m, the daily cutting volume V = S × l = 360 m³, the operating system is the "three-eight system", and the geological conditions of the roadway are at risk of rockburst.

[0131] S200: Based on the surrounding rock grade, referring to the predefined equipment adaptability comparison table in Table 3, it can be seen that cantilever tunneling machines and horizontal shaft tunneling and anchoring machines are not applicable. Therefore, the applicable equipment type is initially selected as cantilever tunneling and anchoring machine.

[0132] S300: Based on the applicable equipment type, the surrounding rock grade, and the Protodyakonov coefficient, the equipment selection coefficient is determined to be 1.45 according to the predefined equipment selection coefficient table in Table 4; the roadway cross-sectional area is 20m², and the roadway cross-sectional area correction coefficient is 0; the geological condition is rockburst risk, and the geological condition correction coefficient is 0.15 according to the predefined geological condition correction coefficient table in Table 5; the basic equipment selection coefficient is dynamically compensated by the roadway cross-sectional area correction coefficient and the geological condition correction coefficient, and the final equipment selection coefficient Γ is 1.6.

[0133] S400: Based on the basic parameters of the roadway, the applicable equipment type, and the final equipment selection coefficient, the theoretical cutting power P of the applicable equipment is obtained. 理论 The details are as follows:

[0134] S410: Based on the fact that the typical rock strata type of the roadway is soft coal seam, refer to Table 6, the cutting energy reference table, and take the cutting energy e as 1kWh / m3;

[0135] S420: Based on the applicable equipment type being the cantilever roadheader, refer to Table 7, the Effective Cutting Time Coefficient Reference Table, and take the effective cutting time coefficient ξ. p It is 0.33;

[0136] S430: Based on the "three-eight system" of the work system, the daily production time t is 16 hours, the time utilization rate η is 0.75, and the shift coefficient K is 1.25;

[0137] S440: Based on the applicable equipment type being the cantilever roadheader, the first parameter in the Protodyakonov coefficient influence function calculation formula is determined to be 0.35 and the second parameter to be 1.2. Based on the Protodyakonov coefficient f being 3, the Protodyakonov coefficient influence function is finally obtained. .

[0138] S450: Calculate the theoretical cutting power P according to the following formula. 理论 :

[0139] S500: Determine the equipment selection power based on the applicable equipment type and the theoretical cutting power;

[0140] Based on the applicable equipment type being the cantilevered roadheader, the Protodyakonov coefficient being 3, and the theoretical cutting power P... 理论 The power rating is 152.44KW. Referring to the predefined cantilever equipment selection decision table in Table 8, the rock type of the roadway is determined to be soft rock, and the recommended power rating P for the equipment is selected.推 The value is 160, based on the theoretical cutting power P. 理论 and the recommended power P of the device gear. 推 Determine the power P of the selected equipment 选型 =max(P 推 P 理论 =160KW.

[0141] S600: Based on the applicable equipment type and the selected equipment power P 选型 Ultimately, the selected equipment model was determined to be EBZ160M-2.

[0142] It should be noted that the specific model of the selected equipment determined according to the applicable equipment type and the selected power of the equipment is existing technology that can be found by those skilled in the art, and will not be listed one by one in this invention.

[0143] It should be noted that Tables 1 to 8 and the appendices in this article are not included. Figure 2 The relevant values ​​are merely illustrative examples of different implementations and are not intended to limit the invention.

[0144] Compared with existing technologies, the tunneling equipment selection method based on multi-parameter coupling provided by this invention has the following advantages:

[0145] This invention provides a method for selecting tunneling equipment based on multi-parameter coupling: First, basic tunnel parameters are obtained, including tunnel cross-sectional shape and area, surrounding rock grade, Protodyakonov coefficient, daily advance, daily cutting volume, and operating procedures. Then, based on the surrounding rock grade and a predefined equipment adaptability comparison table, suitable equipment types are initially screened. Next, based on the basic tunnel parameters, the suitable equipment types, and pre-obtained geological condition correction coefficients, a final equipment selection coefficient is determined. Then, based on the basic tunnel parameters, the suitable equipment types, and the final equipment selection coefficient, the theoretical cutting power of the suitable equipment type is obtained. Next, based on the suitable equipment type and the theoretical cutting power, the selected equipment power is determined. Finally, based on the suitable equipment type and the selected equipment power, the selected equipment model is determined. Therefore, this invention constructs an equipment selection model, coupling multiple parameters such as equipment type, geological conditions, and surrounding rock grade, to promote the equipment selection work from traditional empiricism to the theoretical calculation stage. Furthermore, by introducing a dynamic compensation mechanism, it fully adapts to complex geological conditions, significantly improving the accuracy and safety of selection in harsh environments. The system realizes collaborative selection of tunneling machines throughout the entire process, ensuring the capability matching and efficient operation of various equipment at the working face, and avoiding problems such as resource waste, equipment overload, and safety hazards.

[0146] Furthermore, through automated calculations and decision support, the time spent on manual operations and the selection cycle are significantly reduced, the over-reliance on the experience of professional personnel is reduced, and the design efficiency and engineering reliability are comprehensively improved.

[0147] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," or "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments. In addition, those skilled in the art can combine and integrate the different embodiments or examples described in this specification.

[0148] The above are merely preferred embodiments of the present invention and do not constitute any limitation on the present invention. Any equivalent substitutions or modifications made by those skilled in the art to the technical solutions and content disclosed in the present invention without departing from the scope of the present invention shall be deemed to have remained within the protection scope of the present invention.

Claims

1. A method for selecting a tunneling equipment based on multi-parameter coupling, characterized in that, The basis The selection method for multi-parameter coupled tunneling equipment includes the following steps: Obtain basic tunnel parameters; the basic tunnel parameters include tunnel cross-sectional shape and cross-sectional area, surrounding rock grade, Protodyakonov coefficient, daily advance, daily cutting volume and operating system; Based on the surrounding rock grade and the predefined equipment adaptability comparison table, the applicable equipment types are initially screened. The final equipment selection coefficient is determined based on the basic parameters of the tunnel, the applicable equipment type, and the pre-obtained geological condition correction coefficient. Based on the basic parameters of the roadway, the applicable equipment type, and the final equipment selection coefficient, the theoretical cutting power of the applicable equipment type is obtained; The power of the selected equipment is determined based on the applicable equipment type and the theoretical cutting power. The selected equipment model is determined based on the applicable equipment type and the selected equipment power.

2. The method for selecting tunneling equipment based on multi-parameter coupling as described in claim 1, wherein... characterized in that The acquisition of basic tunnel parameters includes: Obtain the cross-sectional shape of the tunnel, the cross-sectional area of ​​the tunnel, the daily advance, and the operating system; The surrounding rock grade is determined based on the distance between the roof and the unsupported roof and / or the distance between the sidewalls of the roadway. The Protodyakonov coefficient is determined based on the typical rock strata type of the tunnel. The daily cutting volume is determined based on the cross-sectional area of ​​the tunnel and the daily advance.

3. The method for selecting tunneling equipment based on multi-parameter coupling as described in claim 1, wherein... characterized in that The step of determining the final equipment selection coefficient based on the basic parameters of the roadway, the applicable equipment type, and the pre-acquired geological condition correction coefficient includes: Based on the surrounding rock grade and the Protodyakonov coefficient, a predefined equipment selection coefficient table is consulted to determine the basic equipment selection coefficient; The basic equipment selection coefficient is dynamically compensated based on the basic equipment selection coefficient, the roadway cross-sectional area, and the geological condition correction coefficient to determine the final equipment selection coefficient.

4. The method for selecting tunneling equipment based on multi-parameter coupling as described in claim 3, wherein... characterized in that The step of dynamically compensating the basic equipment selection coefficient based on the basic equipment selection coefficient, the roadway cross-sectional area, and the geological condition correction coefficient to determine the final equipment selection coefficient includes: The roadway cross-sectional area correction coefficient is obtained based on the roadway cross-sectional area; Based on the geological conditions of the tunnel and a predefined geological condition correction coefficient table, the geological condition correction coefficient is obtained; The basic equipment selection coefficient is dynamically compensated based on the roadway cross-sectional area correction coefficient and the geological condition correction coefficient to determine the final equipment selection coefficient.

5. The method for selecting tunneling equipment based on multi-parameter coupling as described in claim 4, wherein... The feature is that the final equipment selection coefficient is calculated using the following formula: Final equipment selection coefficient = basic equipment selection coefficient + tunnel cross-sectional area correction coefficient + geological condition correction coefficient.

6. The method for selecting tunneling equipment based on multi-parameter coupling as described in claim 1, wherein... characterized in that The theoretical cutting power of the applicable equipment type is obtained according to the basic parameters of the roadway, the applicable equipment type and the final equipment selection coefficient, and the method comprises the following steps: The cutting specific energy is determined according to the typical rock type of the roadway; The effective cutting time coefficient is determined according to the applicable equipment type; The daily production time, the time utilization rate and the shift system coefficient are determined according to the operation system; The Protodyakonov coefficient influence function is determined according to the applicable equipment type and the Protodyakonov coefficient; The theoretical cutting power is determined according to the daily cutting amount in the basic parameters of the roadway, the cutting specific energy, the effective cutting time coefficient, the daily production time, the time utilization rate, the shift system coefficient, the Protodyakonov coefficient influence function and the final equipment selection coefficient.

7. The tunneling equipment selection method based on multi-parameter coupling according to claim 6, wherein characterized in that The Protodyakonov coefficient influence function is determined according to the applicable equipment type and the Protodyakonov coefficient, and the method comprises the following steps: The first parameter and the second parameter are determined according to the applicable equipment type; The Protodyakonov coefficient influence function is calculated according to the Protodyakonov coefficient, the first parameter and the second parameter by the following formula: Wherein, Φ(f) represents the Protodyakonov coefficient influence function, and f represents the Protodyakonov coefficient.

8. The tunneling equipment selection method based on multi-parameter coupling according to claim 6, wherein The method further comprises calculating the theoretical cutting power of the applicable equipment by the following formula: wherein: P 理论 represents the theoretical cutting power; e represents the cutting specific energy; V represents the daily cutting volume; Φ(f) represents the Proctor coefficient influence function, f represents the Proctor coefficient; Γ represents the final equipment sizing coefficient; t represents the daily production time; η represents the time utilization; ξ p represents the effective cutting time coefficient; K represents the shift system coefficient.

9. The tunneling equipment selection method based on multi-parameter coupling according to claim 1, wherein The basic parameters of the roadway further comprise lithology, and the equipment selection power is determined according to the applicable equipment type and the theoretical cutting power, and the method comprises the following steps: If the applicable equipment type is a boom-type tunneling machine or a boom-type tunneling and anchoring machine, the equipment gear recommended power is determined according to the lithology, the theoretical cutting power and a predefined boom-type equipment selection decision table; The equipment selection power is determined according to the theoretical cutting power and the equipment gear recommended power.

10. The tunneling equipment selection method based on multi-parameter coupling according to claim 1, wherein If the applicable equipment type is a horizontal shaft type tunneling and anchoring integrated machine, the equipment selection power is determined by the following method: The equipment selection power is determined according to the roadway cross-sectional area, the minimum roadway cross-sectional area and the Protodyakonov coefficient.

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