Efficient machining method for high-speed elevator guide rail

Abstract

According to the efficient machining method for the high-speed elevator guide rail, in the machining process, the tool path of a multi-axis linkage numerical control machine tool is set according to the design requirement of the elevator guide rail, efficient and accurate machining of a complex curved surface is achieved, the idle stroke and repeated positioning errors are reduced, the cutting posture can be optimized through the multi-axis synchronous movement capacity, and the cutting force can be dispersed; the deformation risk of the guide rail is reduced, the geometric precision is improved, and the defect that the complex curved surface or high-precision requirement of the elevator guide rail is difficult to adapt in the prior art is effectively overcome; the cutting speed, the feeding amount and the cutting depth of the multi-axis linkage numerical control machine tool are adjusted by adopting a self-adaptive cutting parameter adjusting strategy, tool overload can be avoided by dynamically adjusting cutting parameters, the tipping risk is reduced, the tool changing frequency and the production cost are reduced, and the production efficiency is improved. The defect that in the prior art, it is difficult to dynamically optimize cutting parameters for the complex curved surface of the guide rail is effectively overcome.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of elevator guide rail processing technology, and in particular to a high-efficiency processing method for high-speed elevator guide rails. BACKGROUND

[0002] As a core guiding component for high-speed elevator operation, the geometric precision (straightness, dimensional consistency) and surface quality of the elevator guide rail directly affect the smoothness, safety and service life of the elevator operation. With the rapid development of super high-rise buildings and high-speed elevator technology, the market puts forward higher requirements for the processing efficiency, precision and reliability of the guide rail. However, the traditional processing technology has the following significant technical bottlenecks: (1) The tool path of the traditional machine tool is fixed, which is difficult to adapt to the complex curved surface or high-precision requirements of the elevator guide rail, and is prone to processing dead angles or overcutting phenomena; (2) In the existing technology, the adjustment of cutting parameters depends on manual experience, and it is difficult to realize dynamic optimization for the complex curved surface (such as variable cross-section, arc transition zone) of the guide rail, resulting in that the processing system is sensitive to disturbances such as material fluctuations and tool wear, and the quality fluctuates greatly. SUMMARY

[0003] Therefore, the present application provides a high-efficiency processing method for high-speed elevator guide rails, which can effectively solve the defects that the existing technology is difficult to adapt to the complex curved surface or high-precision requirements of the elevator guide rail, and the cutting parameters are difficult to realize dynamic optimization for the complex curved surface of the guide rail.

[0004] The technical scheme of the present application is as follows:

[0005] A high-efficiency processing method for high-speed elevator guide rails, specifically comprising:

[0006] Selecting steel as the raw material and pretreating the raw material;

[0007] Preliminary forming processing of the pretreated raw material is carried out by using a multi-axis linkage numerical control machine tool to obtain an elevator guide rail after preliminary forming, wherein during the processing, the tool path of the multi-axis linkage numerical control machine tool is set according to the design requirements of the elevator guide rail;

[0008] The elevator guide rail after preliminary forming is subjected to finish machining to obtain an elevator guide rail after processing, wherein during the finish machining, an adaptive cutting parameter adjustment strategy is used to adjust the cutting speed, feed rate and cutting depth of the multi-axis linkage numerical control machine tool;

[0009] Quality detection is performed on the elevator guide rail after processing to obtain a final elevator guide rail.

[0010] As a further optional scheme of the high-efficiency processing method for high-speed elevator guide rails, the pretreatment of the raw material specifically comprises:

[0011] The raw material is straightened to obtain a straightened raw material;

[0012] The straightened raw material is pickled and phosphorized to obtain a pretreated raw material.

[0013] As a further optional solution of the high-speed elevator guide rail efficient machining method, the tool path of the multi-axis linkage numerical control machine tool is set according to the design requirements of the elevator guide rail, and the specific planning formula is:

[0014] ;

[0015] Among them, is the total length of the tool path, is the design target surface precision parameter of the elevator guide rail, is the initial surface precision parameter of the raw material, is the height direction size of the elevator guide rail, is the width direction size of the elevator guide rail, , , is a coefficient determined according to the machining material and the machine tool performance.

[0016] As a further optional solution of the high-speed elevator guide rail efficient machining method, the cutting speed, feed rate and cutting depth of the multi-axis linkage numerical control machine tool are adjusted by using an adaptive cutting parameter adjustment strategy, which specifically includes:

[0017] Real-time monitoring of temperature change, surface roughness change and cutting force change during the machining process of the multi-axis linkage numerical control machine tool;

[0018] Adjusting the cutting speed according to the temperature change to obtain an adjusted cutting speed;

[0019] Adjusting the feed rate according to the surface roughness change to obtain an adjusted feed rate;

[0020] Adjusting the cutting depth according to the cutting force change to obtain an adjusted cutting depth.

[0021] As a further optional solution of the high-speed elevator guide rail efficient machining method, the cutting speed is adjusted according to the temperature change, and the specific cutting speed adjustment formula is:

[0022] ;

[0023] Among them, is the adjusted cutting speed, is the initially set cutting speed, is a cutting speed adjustment coefficient, used to reflect the sensitivity of the steel material to the change of the cutting speed at different temperatures, and 0.01≤ ≤0.05, is a temperature change amount monitored in real time during the machining process.

[0024] As a further optional solution of the high-efficiency machining method of the high-speed elevator guide rail, the feed amount is adjusted according to the surface roughness change amount, and a specific feed amount adjustment formula is:

[0025] ;

[0026] wherein, is an adjusted feed amount, is an initially set feed amount, is a feed amount adjustment coefficient, used to reflect the sensitivity of the steel material to the change of the feed amount under different surface roughness requirements, and 0.02≤ ≤0.08, is a surface roughness change amount monitored in real time.

[0027] As a further optional solution of the high-efficiency machining method of the high-speed elevator guide rail, the cutting depth is adjusted according to the cutting force change amount, and a specific cutting depth adjustment formula is:

[0028] ;

[0029] wherein, is an adjusted cutting depth, is an initially set cutting depth, is a cutting depth adjustment coefficient, used to reflect the sensitivity of the steel material to the change of the cutting depth under different cutting force conditions, and 0.01≤ ≤0.04, is a cutting force change amount monitored in real time.

[0030] As a further optional solution of the high-efficiency machining method of the high-speed elevator guide rail, the quality of the elevator guide rail after machining is detected, specifically including:

[0031] A three-coordinate measuring instrument is used to measure the size parameters of the elevator guide rail, and the measurement results are compared with a preset standard size range. If all the size parameters are within the preset standard size range, the size precision is determined to be qualified.

[0032] A surface roughness meter is used to measure the surface position of the elevator guide rail to obtain the surface roughness value, which is compared with a preset upper limit value of the surface roughness. If the surface roughness values of all the measurement positions are less than or equal to the upper limit value, the surface roughness is determined to be qualified.

[0033] The laser collimator is used to detect along the length direction of the elevator guide rail, record the straightness deviation data of the elevator guide rail, and compare with the set straightness deviation range, if the straightness deviation is within the straightness deviation range, the straightness is determined to be qualified.

[0034] A high-speed elevator guide rail efficient processing system, comprising:

[0035] A raw material pretreatment module is configured to select steel as a raw material and pretreat the raw material.

[0036] A preliminary forming processing module is configured to use a multi-axis linkage numerical control machine tool to preliminarily form process the pretreated raw material to obtain an elevator guide rail after preliminary forming.

[0037] An adaptive finishing processing module is configured to finish process the elevator guide rail after preliminary forming to obtain an elevator guide rail after processing.

[0038] A quality detection module is configured to detect the quality of the elevator guide rail after processing to obtain a final elevator guide rail.

[0039] A computing device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of any one of the above high-speed elevator guide rail efficient processing methods when executing the computer program.

[0040] The present application has the following advantages: by setting the tool path of the multi-axis linkage numerical control machine tool according to the design requirements of the elevator guide rail during processing, efficient and accurate processing of complex surfaces is achieved, air travel and repeated positioning errors are reduced, multi-axis synchronous motion capability can optimize the cutting posture, disperse the cutting force, reduce the risk of guide rail deformation, improve the geometric precision, effectively solve the defects that the existing technology cannot adapt to the complex surface or high precision requirements of the elevator guide rail; by adjusting the cutting speed, feed rate and cutting depth of the multi-axis linkage numerical control machine tool using the adaptive cutting parameter adjustment strategy, dynamic adjustment of the cutting parameters can avoid tool overload, reduce the risk of chipping, reduce the tool changing frequency and production cost, effectively solve the defect that the cutting parameters of the existing technology cannot be dynamically optimized for the complex surface of the guide rail. BRIEF DESCRIPTION OF DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description only represent some of the embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor.

[0042] Fig. 1 A flowchart of a high-speed elevator guide rail efficient machining method of the present application;

[0043] Fig. 2 A composition diagram of a high-speed elevator guide rail efficient machining system of the present application;

[0044] Fig. 3 A composition diagram of a computing device of the present application. DETAILED DESCRIPTION

[0045] The technical solutions in the embodiments of the present application will be described clearly and completely below. Obviously, the described embodiments only represent some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of the present application.

[0046] REFERENCE Figs. 1 to 3 A high-speed elevator guide rail efficient machining method, specifically comprising:

[0047] Selecting steel as a raw material and pretreating the raw material; in some embodiments, the pretreating the raw material specifically comprises:

[0048] Straightening the raw material to obtain a straightened raw material;

[0049] Acid pickling and rust removal and phosphating the straightened raw material to obtain a pretreated raw material.

[0050] Specifically, the straightened raw material can reduce the positioning and calibration time caused by material bending when clamped;

[0051] Surface rust or oxide layer of the material can cause local stress concentration during cutting, causing micro-chipping or surface scratches. After acid pickling and rust removal, the surface roughness Ra value of the raw material can be reduced to below 1.6 μm, laying a foundation for obtaining a high smoothness surface (Ra≤0.8 μm) in subsequent finishing. Rust particles can accelerate tool wear during cutting, and acid pickling can reduce tool wear rate by about 30%. Especially in the long-term continuous machining of high-speed elevator guide rails, the tool replacement frequency and production cost are significantly reduced;

[0052] The phosphate coating (approximately 5-15 μm thick) isolates the steel substrate from corrosive media, increasing the corrosion resistance of the guide rail by 5-8 times in humid or salt spray environments (such as elevator shafts in coastal areas), thus extending its service life. The porous structure of the phosphate coating provides mechanical interlocking sites for subsequent anti-rust coatings (such as spraying or electrophoresis), increasing the coating bonding strength by more than 40% and preventing localized corrosion caused by coating peeling during use.

[0053] A multi-axis CNC machine tool is used to perform preliminary forming processing on the pre-treated raw materials to obtain a pre-formed elevator guide rail. During the processing, the tool path of the multi-axis CNC machine tool is set according to the elevator guide rail design requirements. In some embodiments, the specific planning formula for setting the tool path of the multi-axis CNC machine tool according to the elevator guide rail design requirements is as follows:

[0054] ;

[0055] in, This represents the total length of the toolpath. Design target surface accuracy parameters for elevator guide rails. These are the initial surface accuracy parameters of the raw materials. This refers to the dimension in the height direction of the elevator guide rail. This refers to the width dimension of the elevator guide rail. , , This is a coefficient determined based on the processing materials and machine tool performance, and 0.5 ≤ ≤1.5, 0.3≤ ≤0.8, 0.2≤ ≤0.6.

[0056] Specifically, in the formula The difference between the target precision and the initial precision of the raw material is represented. By dynamically adjusting the path length, the processing amount can be automatically compensated based on the actual surface condition of the raw material (such as initial roughness and straightness deviation). If the initial precision of the raw material is poor (( (Larger), increase toolpath length to enhance machining and ensure final accuracy. If the raw material has good precision, the path is shortened to reduce redundant cutting and avoid material waste and efficiency loss caused by over-processing. Compared with the fixed path mode, dynamic compensation reduces the processing time by 15%-25% while ensuring the consistency of the guide rail surface roughness.

[0057] By introducing guide rail height and width As a path calculation variable, it can automatically adapt to the processing requirements of different specifications of guide rails: for large and tall guide rails ( Increase longitudinal path density to control straightness, for wide rails Optimize cross-cut strategy to avoid edge collapse

[0058] Increase the rigidity of the machine tool to increase the stiffness of the workpiece To compensate for the surface accuracy, high-rigidity machine tools can improve , To speed up the machining of large-size rails, through parameter matching optimization, tool path planning can fully develop the potential of the equipment, and the machining efficiency can be improved by 20% while the accuracy stability is maintained.

[0059] The elevator guide rail after preliminary forming is finished, and the elevator guide rail after finishing is obtained, wherein, in the process of finishing, the cutting speed, feed rate and cutting depth of the multi-axis linkage numerical control machine tool are adjusted by adopting an adaptive cutting parameter adjustment strategy; in some embodiments, the adaptive cutting parameter adjustment strategy adjusts the cutting speed, feed rate and cutting depth of the multi-axis linkage numerical control machine tool, specifically including:

[0060] The laser measuring device is used to monitor the machining temperature in real time to obtain the temperature change amount, the surface roughness meter is used to monitor the machining surface in real time to obtain the surface roughness change amount, and the force sensor is used to monitor the cutting force in real time to obtain the cutting force change amount;

[0061] The cutting speed is adjusted according to the temperature change amount to obtain the adjusted cutting speed;

[0062] The feed rate is adjusted according to the surface roughness change amount to obtain the adjusted feed rate;

[0063] The cutting depth is adjusted according to the cutting force change amount to obtain the adjusted cutting depth.

[0064] Specifically, the laser temperature measurement, surface roughness meter and force sensor are used to construct a three-dimensional monitoring network, which can synchronously capture the temperature, surface quality and cutting force dynamic changes in the machining process, provide accurate data support for parameter adjustment, the laser device feedbacks the cutting zone temperature rise in real time, avoids the size deviation caused by material thermal deformation (such as guide rail straightness exceeding the standard), detects the surface quality online, prevents surface defects caused by tool wear or vibration, and the force sensor instantaneously senses the load change to prevent tool overload fracture or material overcutting;

[0065] When the temperature rises and the material softens, the cutting speed is automatically reduced to maintain constant cutting force, avoid guide rail geometric deformation, and the surface roughness deviation directly triggers the feed rate adjustment to ensure that the guide rail working surface Ra value is stable within the design tolerance, and when the cutting force suddenly changes, the cutting depth is dynamically adjusted to balance the material removal rate and tool load, and the tool life is prolonged;

[0066] In the traditional fixed parameter mode, tool wear or local material hardness changes easily lead to guide rail size tolerance fluctuations. The adaptive strategy reduces the size dispersion by more than 40% through continuous parameter adjustment, ensuring that key indicators such as guide rail straightness and cross-sectional size meet the stringent standards of high-speed elevators. Online roughness monitoring and feed rate linkage adjustment can eliminate surface waviness, burns, and other defects caused by tool dulling or vibration, improving the uniformity of guide rail surface quality by 50% and reducing the need for subsequent polishing processes.

[0067] Dynamic parameter adjustment avoids efficiency loss due to conservative parameter settings: in uniform material areas, the system automatically increases cutting speed and feed rate to shorten the machining cycle; in hard spots or early tool wear, it maintains stable machining by reducing local cutting depth and reduces the number of tool changes.

[0068] In some embodiments, the cutting speed is adjusted according to the temperature change amount, and the specific cutting speed adjustment formula is:

[0069] ;

[0070] wherein, is the adjusted cutting speed, is the initial set cutting speed, is the cutting speed adjustment coefficient, which reflects the sensitivity of steel materials to cutting speed changes at different temperatures, and 0.01≤ ≤0.05, is the real-time monitored temperature change amount during the machining process.

[0071] Specifically, an increase in cutting temperature will cause the steel to expand or soften, affecting the straightness and dimensional accuracy of the guide rail. By monitoring the temperature change in real time, the cutting speed is dynamically adjusted: if >0 (temperature rise), the cutting speed is appropriately increased (V >0), the material softening effect is used to reduce cutting force, and the tool and workpiece contact time is shortened to reduce heat accumulation; if temperature rise needs to be suppressed, heat generation can be controlled by adjusting or combining with cooling strategies.

[0072] The value range of (0.01-0.05) limits the speed adjustment amplitude, avoiding temperature loss of control or efficiency fluctuations caused by excessive speed adjustment, for example, when =10 degrees Celsius and =0.03, the speed adjustment amplitude is 30%, which not only utilizes material softening to improve efficiency, but also prevents temperature from soaring.

[0073] It should be noted that a theoretical model is established to calculate the thermal expansion coefficient, thermal conductivity, and other thermophysical properties of steel, combined with the principle of thermal equilibrium during the cutting process. For example, the deformation of a material as the temperature rises can be estimated based on the coefficient of thermal expansion, and then the impact on the adjustment of the cutting speed can be analyzed.

[0074] In some embodiments, the feed rate is adjusted based on the change in surface roughness, and the specific feed rate adjustment formula is as follows:

[0075] ;

[0076] in, This is the adjusted feed rate. This is the initial feed rate. This is the feed rate adjustment coefficient, used to reflect the sensitivity of steel materials to changes in feed rate under different surface roughness requirements, and 0.02 ≤ ≤0.08, This refers to the change in surface roughness monitored in real time.

[0077] Specifically, if roughness deterioration is detected (e.g., due to tool wear or localized material hardening), the feed rate is reduced. When it is negative, (Reduce), extend the tool-material contact time, optimize cutting marks, and stabilize the surface roughness Ra value within the design tolerance; adjust the coefficient. (0.02-0.08) Limit the single adjustment range to avoid drastic fluctuations in feed rate that could cause surface marks or work hardening;

[0078] Abnormal surface roughness is often accompanied by increased cutting force or vibration. Adjusting the feed rate reduces tool load, decreases the risk of edge chipping, and extends tool life by 20%–30%. For example, when a sudden increase in roughness is detected, the system immediately reduces the feed rate to prevent excessive tool wear.

[0079] Online quality control suppresses surface defects at the nascent stage, avoiding the need for subsequent polishing or scrapping of guide rails due to excessive roughness, reducing overall costs by 10% to 15%, and is especially suitable for processing high-value-added stainless steel guide rails.

[0080] It should be noted that, The specific steps for determining this include:

[0081] On a multi-axis CNC machine tool, cutting experiments were conducted on high-speed elevator guide rail steel with different feed rates using the same cutting tools and cutting conditions (cutting speed, cutting depth, etc.).

[0082] The surface roughness value of the machined surface after each cut was measured using a surface roughness meter. , record different feed amount corresponding surface roughness change (the difference from the target surface roughness), while observing the quality of the machined surface, such as whether there are scratches, burrs, and other defects;

[0083] By analyzing the relationship between the feed amount change and the surface roughness change, a linear model is established , the value of is determined using mathematical methods such as least squares.

[0084] In some embodiments, the cutting depth is adjusted according to the cutting force change, and the specific cutting depth adjustment formula is:

[0085] ;

[0086] wherein, is the adjusted cutting depth, is the initial set cutting depth, is the cutting depth adjustment coefficient, which reflects the sensitivity of steel materials to cutting depth changes under different cutting force conditions, and 0.01 ≤ ≤ 0.04, is the real-time monitored cutting force change.

[0087] Specifically, when the real-time monitored cutting force abnormally increases (such as due to sudden changes in material hardness or tool wear), the cutting depth is automatically reduced (when > 0, decreases), avoiding excessive load on the tool and significantly reducing the risk of tool breakage. For example, if the initial cutting depth is 2mm, when = 50N and = 0.03, the cutting depth is dynamically reduced by about 7.5%, effectively protecting the tool; there may be hardness fluctuations within the steel, and dynamic adjustment of the cutting depth can match the material properties in real time, avoiding vibration or surface defects caused by local hard spots, and ensuring the consistency of the guide rail machining;

[0088] Cutting force is a key factor in tool wear. By dynamically adjusting the cutting depth, the cutting force is maintained within a reasonable range, the tool dulling speed is slowed down, and the tool life is extended. For example, during the initial tool wear stage, the system balances the load by fine-tuning the cutting depth, avoiding accelerated wear. The extension of tool life and the reduction of scrap rate (reduction of size out-of-tolerance due to overload) can reduce the tool cost and scrap loss of a single guide rail, reducing the overall production cost.

[0089] It should be noted that the determination step specifically includes:

[0090] On the multi-axis linkage numerical control machine tool, the cutting speed and the feed amount are kept unchanged, and the cutting depth is gradually changed , the cutting force in the cutting process is monitored in real time using a force sensor ;

[0091] The change of the cutting force under different cutting depths is recorded, and the cutting force change amount (the difference from the initial cutting force) is calculated, while the tool wear and the vibration during processing are observed;

[0092] The linear relationship between the cutting depth change amount and the cutting force change amount is established , and the value of is determined through data fitting.

[0093] After the elevator guide rail is processed, quality detection is carried out, specifically including:

[0094] A three-coordinate measuring instrument is selected, at least 5 measurement points are uniformly selected in the length direction of the elevator guide rail, at least 3 measurement points are selected in the width and height directions, the length, width, height and key mounting hole diameter of the guide rail are measured, the measurement values of each measurement point are compared with the preset standard size, if the measurement values of each size parameter and the standard size are within the preset standard size range, the size accuracy is determined to be qualified;

[0095] A stylus type surface roughness meter is used, at least 3 measurement regions are selected on the working surface, non-working surface and key connecting surface of the elevator guide rail for measurement, the measurement length of each measurement region is set, and the average value of the surface roughness of each measurement region is taken as the representative value of the surface roughness of the surface, the representative values of the surface roughness of each surface are compared with the upper limit value of the specified surface roughness, if all the representative values of the surface roughness of the surfaces are not greater than the upper limit value, the surface roughness is determined to be qualified;

[0096] A laser collimator is used, at least 10 measurement points are set at a preset distance in the length direction of the guide rail, the deviation values of each measurement point relative to the ideal straight line are measured by the laser collimator, the actual straight line of the guide rail is fitted by the least square method, the maximum deviation value between the actual straight line and the ideal straight line is calculated, and if the maximum deviation value is less than or equal to the specified straightness allowable deviation value, the straightness is determined to be qualified.

[0097] A high-speed elevator guide rail efficient machining system, comprising:

[0098] A raw material pretreatment module for selecting steel as a raw material and pretreating the raw material;

[0099] The preliminary forming processing module is used for preliminary forming processing of the pretreated raw material by using the multi-axis linkage numerical control machine tool, and obtaining the preliminary formed elevator guide rail, wherein, in the processing, the tool path of the multi-axis linkage numerical control machine tool is set according to the design requirements of the elevator guide rail;

[0100] The adaptive finishing processing module is used for finishing processing of the preliminary formed elevator guide rail, and obtaining the finished elevator guide rail, wherein, in the finishing processing, the cutting speed, the feed amount and the cutting depth of the multi-axis linkage numerical control machine tool are adjusted by using the adaptive cutting parameter adjustment strategy.

[0101] The quality detection module is used for quality detection of the finished elevator guide rail, and obtaining the final elevator guide rail.

[0102] A computing device comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of any one of the high-efficiency processing methods of the elevator guide rail when executing the computer program.

[0103] The above only describes the preferred embodiments of the present application and is not intended to limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A high-speed elevator guide rail efficient machining method, characterized by, Specifically comprising: The steel material is selected as the raw material, and the raw material is pretreated; The pretreated raw material is preliminarily formed by a multi-axis linkage numerical control machine tool, and the preliminarily formed elevator guide rail is obtained, wherein, during the machining process, the tool path of the multi-axis linkage numerical control machine tool is set according to the design requirements of the elevator guide rail; The preliminarily formed elevator guide rail is finished machined to obtain the finished elevator guide rail, wherein, during the finishing machining process, the cutting speed, feed rate and cutting depth of the multi-axis linkage numerical control machine tool are adjusted by using an adaptive cutting parameter adjustment strategy; The finished elevator guide rail is quality detected to obtain the final elevator guide rail.

2. The high-speed elevator rail efficient machining method according to claim 1, characterized by, The pretreatment of the raw material specifically comprises: The raw material is straightened to obtain the straightened raw material; The straightened raw material is pickled and rusted and phosphorized to obtain the pretreated raw material.

3. The high-speed elevator guide rail efficient machining method according to claim 2, characterized by, The tool path of the multi-axis linkage numerical control machine tool is set according to the design requirements of the elevator guide rail, and the specific planning formula is: ； wherein, is the total length of the tool path, is the target surface accuracy parameter of the elevator guide rail design, is the initial surface accuracy parameter of the raw material, is the height direction dimension of the elevator guide rail, is the width direction dimension of the elevator guide rail, , , is a coefficient determined according to the machining material and the machine tool performance.

4. The high-speed elevator guide rail efficient machining method according to claim 3, characterized by, The cutting speed, feed rate and cutting depth of the multi-axis linkage numerical control machine tool are adjusted by using an adaptive cutting parameter adjustment strategy, which specifically comprises: The temperature variation, surface roughness variation and cutting force variation during the machining process of the multi-axis linkage numerical control machine tool are monitored in real time; The cutting speed is adjusted according to the temperature variation to obtain the adjusted cutting speed; The feed rate is adjusted according to the surface roughness variation to obtain the adjusted feed rate; The cutting depth is adjusted according to the cutting force variation to obtain the adjusted cutting depth.

5. The high-speed elevator guide rail efficient machining method according to claim 4, characterized by, The cutting speed adjustment formula according to the temperature variation is: ； wherein, is the adjusted cutting speed, is the initial set cutting speed, is a cutting speed adjustment coefficient, used to reflect the sensitivity of steel material to the change of cutting speed at different temperatures, and 0.01≤ ≤0.05, is the real-time monitored temperature change amount in the machining process.

6. The high-speed elevator guide rail efficient machining method according to claim 5, characterized by, The feed rate adjustment formula according to the surface roughness variation is: ； Wherein, is the adjusted feed amount, is the initial set feed amount, is the feed amount adjustment coefficient, which is used to reflect the sensitivity of the steel material to the change of the feed amount under different surface roughness requirements, and 0.02≤ ≤0.08, is the real-time monitored surface roughness change amount.

7. The high-speed elevator guide rail efficient machining method according to claim 6, characterized by, The cutting depth adjustment formula according to the cutting force variation is: ； wherein, is the adjusted cutting depth, is the initial set cutting depth, is the cutting depth adjustment coefficient, used to reflect the sensitivity of the steel material to the change of the cutting depth under different cutting force conditions, and 0.01≤ ≤0.04, is the real-time monitored cutting force change amount.

8. The high-speed elevator guide rail efficient machining method according to claim 7, characterized by, The quality detection of the finished elevator guide rail specifically comprises: The size parameters of the elevator guide rail are measured by using a three-coordinate measuring instrument, and the measurement results are compared with the preset standard size range, if all the size parameters are within the preset standard size range, the size accuracy is determined to be qualified; The surface roughness values are obtained by measuring the surface positions of the elevator guide rail by using a surface roughness meter, and compared with the preset upper limit value of the surface roughness, if the surface roughness values of all the measurement positions are less than or equal to the upper limit value, the surface roughness is determined to be qualified; The straightness deviation data of the elevator guide rail are recorded by using a laser collimator along the length direction of the elevator guide rail, and compared with the set straightness allowable deviation range, if the straightness deviation is within the straightness allowable deviation range, the straightness is determined to be qualified.

9. A high-speed elevator guide rail efficient processing system, characterized by, It comprises: A raw material pretreatment module for selecting steel material as raw material and pretreating the raw material; A preliminary forming machining module for preliminarily forming the pretreated raw material by a multi-axis linkage numerical control machine tool to obtain a preliminarily formed elevator guide rail, wherein, during the machining process, the tool path of the multi-axis linkage numerical control machine tool is set according to the design requirements of the elevator guide rail; The adaptive finishing module is used for finishing the elevator guide rail after the preliminary forming, and obtaining the finished elevator guide rail, wherein the cutting speed, the feeding amount and the cutting depth of the multi-axis linkage numerical control machine tool are adjusted by using the adaptive cutting parameter adjustment strategy during the finishing process. The quality detection module is used for detecting the quality of the finished elevator guide rail, and obtaining the final elevator guide rail.

10. A computing device, comprising: The computer program stored in the memory and executable on the processor is used for realizing the steps of the high-speed elevator guide rail efficient machining method in any one of claims 1-8.

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