A constant steady control system for a numerical control machining center based on internet of things big data

Abstract

The application discloses a constant stability control system for a numerical control machining center based on internet of things big data, which comprises a constant stability control system, wherein the constant stability control system comprises a transportation tool state analysis module, a numerical control machining center fixing module and a stability calculation module; the transportation tool state analysis module comprises a transportation tool speed measurement module, a journey stopping measurement module, a road condition analysis module and an environment analysis module; the numerical control machining center fixing module comprises a binding belt tension analysis module, a binding belt wear analysis module, a numerical control machining center displacement analysis module and a numerical control machining center partition fixing analysis module; and the stability calculation module comprises a paint wear degree calculation unit, a bolt tightness degree calculation unit and a cleaning mode selection unit; the transportation tool speed measurement module is used for controlling the driving speed of the transportation tool and controlling the upper limit of the transportation capacity of the transportation tool; and the application has the characteristics of high practicability and automatic optimal path selection.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of numerical control center transportation, in particular to a constant stability control system for numerical control machining center based on big data of internet of things. BACKGROUND

[0002] The numerical control machining center is large in size, and the cost of disassembling and transporting a single structure is high, and the overall transportation needs to detect the wear of the route, so that the numerical control machining center can be repaired in time when it arrives at the destination and enters the machining state at the fastest speed, therefore, it is necessary to design a constant stability control system for numerical control machining center based on big data of internet of things, which has strong practicability and can automatically select the optimal path. SUMMARY

[0003] The present application aims to provide a constant stability control system for numerical control machining center based on big data of internet of things to solve the problems in the background.

[0004] In order to solve the above technical problems, the present application provides the following technical scheme: a constant stability control system for numerical control machining center based on big data of internet of things, comprising a constant stability control system, characterized in that: the constant stability control system comprises a transportation tool state analysis module, a numerical control machining center fixing module and a stability calculation module, the transportation tool state analysis module comprises a transportation tool speed measurement module, a route braking measurement module, a road condition analysis module and an environment analysis module, the numerical control machining center fixing module comprises a binding belt tension analysis module, a binding belt wear analysis module, a numerical control machining center displacement analysis module and a numerical control machining center partition fixing analysis module, and the stability calculation module comprises a paint wear degree calculation unit, a bolt tightness degree calculation unit and a cleaning mode selection unit.

[0005] According to the above technical scheme, the transportation tool speed measurement module is used to control the driving speed of the transportation tool and control the upper limit of the transportation capacity of the transportation tool, the route braking measurement module records the number of emergency braking and the braking force of the transportation tool in the whole transportation process, if the braking force of the driver is not the same, the friction force between the transportation tool and the ground is not the same, and the impact force of the numerical control machining center on the transportation tool is not the same, the road condition analysis module is used to record the number of bumps of the transportation tool during running, and the road surface is calculated and evaluated according to the bump amplitude, another route is selected for next driving, and the data is summarized after multiple tests, and the environment analysis module is used to measure the number of lakes around the path and the density of trees, since there is a lot of water vapor around the lake, the numerical control machining center will be corroded, and the trees are dense, the branches will scratch the paint on the numerical control machining center, and then cooperate with the road condition analysis module to calculate the optimal path.

[0006] According to the technical scheme, the binding belt tension analysis module is used for calculating the relationship between the binding belt tension and the stability of the numerical control machining center, the binding belt wear analysis module is used for calculating the service life of the binding belt, so that the binding belt can be replaced, and the binding belt with high wear degree is replaced regularly, the numerical control machining center displacement analysis module is used for recording the initial position of the numerical control machining center and the position when the goods are unloaded, judging the moving direction of the numerical control machining center, and moving the initial fixed position of the numerical control machining center in the opposite direction next time, so that the numerical control machining center is prevented from moving and touching the surrounding plate of the transport tool during transportation, and the numerical control machining center partition fixing analysis module is used for partitioning the numerical control machining center, binding the numerical control machining center according to different regions, and realizing the partition binding effect.

[0007] According to the technical scheme, the paint wear degree calculation unit is used for calculating the paint wear degree of the surface of the numerical control machining center, the bolt tightness degree calculation unit is used for measuring the overall fit degree of the numerical control machining center, and the cleaning mode selection unit selects the cleaning mode of the numerical control machining center after unloading according to the selected path and the weather condition during transportation.

[0008] According to the technical scheme, a truck model is established.

[0009] The commonly used transport tool is a truck, the truck is simulated and calculated first, the overall parts of the truck are drawn out by using UG software, the parts are matched and integrated according to the relationship between the parts, the model of the whole truck is established, the quality of different parts is divided in a limited number of collision tests, and the material of the parts is defined to ensure the accuracy of the simulation test.

[0010] Suitable control parameters, control in the calculation time and output result control are selected.

[0011] Each part specification is based on a minimum of 5mm as a basic unit, and the specification error is controlled within 5mm, since the calculation subject this time is the truck and the numerical control machining center, the rear panel and the head box of the truck are not included in the calculation range, the calculation amount is reduced, and the shape of the truck is ensured.

[0012] According to the technical scheme, in the simulation test, the contact between the numerical control machining center and the truck is artificially defined, the contact types are the contact between the support frame of the numerical control machining center and the truck, the contact between the machining surface of the numerical control machining center and the truck, and the contact between the numerical control machining center and the truck, and the binding belt is used for empty fixing.

[0013] U=F1+(F2-F1)e -(D)V , in the formula, U represents the friction coefficient, F1 represents the dynamic friction coefficient, F2 represents the static friction coefficient, D represents the exponential decay coefficient, and V represents the relative speed between the contact surfaces.

[0014] According to the above technical scheme, the binding selection analysis:

[0015] Front and rear fixation: fixed with two blocking blocks, set the rear fixation band of the data processing center to the lateral force of the data processing center as F 横 , set the autonomous front pressure of the data processing center as F 自身 , then F 合 =F 横 +F 自身 , in the formula, F 合 is the comprehensive stress of the numerical control machining center during transportation;

[0016] Set the lateral acceleration as A 综 , set the downward acceleration of the numerical control machining center as A 下 , set the mass of the numerical control machining center as M 数控 , F 横 =(A 综 -A 下 )*M 数控 *g, F 自身 =M 数控 *g*A 下 , F 合 =M 数控 *g*A 综 ;

[0017] Set the blocking ability of the front and rear bands as F 绑带 >F 横 ;

[0018] The selection of the band is determined according to the F 绑带 tested;

[0019] Up and down fixation: the band is passed through the top of the numerical control machining center and is fixed at both ends of the truck, at this time the band is straight and inclined downward, set the tension of the inclined band as F 绷 , set the friction force generated by the tension F 绷 as F 绷摩 , set the friction force generated by the downward pressure of the band on the top of the numerical control machining center as F 下摩 , the horizontal force balance relationship of the numerical control machining center: F 绷摩 +F 下摩 >F 合 ;

[0020] F 绷摩 +F 下摩 =F1(M 数控 *A 下 *g+n*F 绷 *sin a), in the formula, n is the number of bands, and a is the included angle formed by the band and the horizontal plane of the truck;

[0021] F 合 = M 数控 A 综 g;

[0022] The binding force is F 绷 ≧[(A 综 -A 下 )*M 数控 *g] / (n*F1*sin a);

[0023] The number of bindings n≧[(A 综 -A 下 )*M 数控 *g] / (F1*sin a*F 绷 )。

[0024] According to the above technical solution, the path selection process is:

[0025] S1. Set the path between the starting point and the ending point as N, and arrange a truck loaded with a numerical control machining center to go to each path, drive at a conventional speed, and calculate the time length of each path to reach the ending point, the number of surrounding lakes, and the tree density;

[0026] S2. Set the number of lakes as W, classify the lakes according to the area size, set a judgment value S1, and the lakes with an area greater than S1 are uniformly arranged in a database, and the lakes with an area less than or equal to S1 are not entered into the database. If the path driving time length of the slowest path is 30 minutes or more different from that of the fastest path, the slowest path is automatically deleted. According to the number of lakes, set the rated number of lakes as W1. If W is greater than or equal to W1, this path is automatically deleted.

[0027] S3. Set the tree density as P, and set the rated value of tree density as P1. If P is greater than or equal to P1, this path is directly deleted.

[0028] According to the above technical solution, the completion degree detection process of the numerical control machining center is:

[0029] S21. Detect the overall numerical control machining center by using a bolt detector, and perform differential detection for each area. The bottom of the numerical control machining center is a support foot, and the detection frequency here is once. The number of bolt connections is small, and too many detection frequencies will reduce the efficiency. After detection by the bolt detector, the worker uses a bolt fastener to perform artificial detection on the bolt.

[0030] S22. The top of the numerical control machining center is provided with more equipment, and the connection between the equipment is connected by bolts. According to the road conditions of the selected path, a preliminary judgment is made. If there are many pits in the path this time, the bolt tightness is low. The total amount of pits is set as K, which is K1-K10 in total ten levels. K1 represents the least number of pits, and K10 represents the most number of pits. The bolt tightness is set as L, which is L1-L10 in total ten levels. L1 represents the highest bolt tightness, and L10 represents the lowest bolt tightness. K1-K10 and L1-L10 correspond one by one.

[0031] S23. The bolt tightness data is obtained, and whether the bolt tightness is qualified is judged. If the bolt tightness is qualified, artificial detection is not needed. If the bolt tightness is unqualified, artificial detection is needed.

[0032] According to the above technical scheme, the numerical control machining center cleaning process is:

[0033] According to the number of binding tapes, the paint wear amount is determined. The more the number of binding tapes, the more the paint wear area. The paint wear area is generated by the friction between the binding tape and the numerical control machining center. The rated number of the paint wear area is set as E. If n is greater than E, it indicates that the paint wear area is out of limit. At this time, cleaning is not performed, and cleaning is performed after the paint is repaired. If n is less than or equal to E, it indicates that the paint wear area is within the controllable range, and cleaning can be performed.

[0034] Compared with the prior art, the beneficial effects achieved by the present application are: the present application is provided with a numerical control machining center partition fixed analysis module, and a bolt detector is used to detect the whole numerical control machining center. The difference type detection is performed for each area. The bottom of the numerical control machining center is a supporting foot. The detection frequency is once. The bolt connection is less. If the detection frequency is too high, the efficiency is reduced. After the bolt detector detects, the worker uses a bolt fastener to detect the bolt manually. BRIEF DESCRIPTION OF DRAWINGS

[0035] The accompanying drawings are included to provide a further understanding of the present application, and constitute a part of the specification. They are used to explain the present application together with embodiments of the present application, and do not constitute a limitation on the present application. In the drawings:

[0036] Figure 1 is a system schematic diagram of the present application. DETAILED DESCRIPTION

[0037] The technical solutions in the embodiments of the present application will be clearly and completely described with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0038] Please refer to Figure 1 The present application provides a technical solution: a constant stability control system for a numerical control machining center based on Internet of Things big data, which comprises a transportation tool state analysis module, a numerical control machining center fixing module and a stability calculation module. The transportation tool state analysis module comprises a transportation tool speed measurement module, a route braking measurement module, a road condition analysis module and an environment analysis module. The numerical control machining center fixing module comprises a binding belt tension analysis module, a binding belt wear analysis module, a numerical control machining center displacement analysis module and a numerical control machining center partition fixing analysis module. The stability calculation module comprises a paint wear degree calculation unit, a bolt tightness degree calculation unit and a cleaning mode selection unit.

[0039] The transportation tool speed measurement module is used to control the driving speed of the transportation tool and control the upper limit of the transportation capacity of the transportation tool. The route braking measurement module records the number of emergency braking and the braking force of the transportation tool during the entire transportation process. If the braking force of the driver is not the same, the friction force between the transportation tool and the ground is not the same, and the impact force of the numerical control machining center on the transportation tool is not the same. The road condition analysis module is used to record the number of bumps of the transportation tool during operation. According to the bump amplitude, the road surface at this place is calculated and evaluated. The next time the transportation tool travels, another route is selected. After multiple tests, the data is planned out. The environment analysis module is used to measure the number of lakes around the path and the density of trees. Since there is a lot of water vapor around the lakes, it will corrode the numerical control machining center. The trees are dense, and the branches will scratch off the paint on the numerical control machining center, thereby cooperating with the road condition analysis module to calculate the optimal path.

[0040] The binding belt tension analysis module is used to calculate the binding belt tension and test the relationship between the number of binding belts and the stability of the numerical control machining center. The binding belt wear analysis module calculates the service life of the binding belt, so as to facilitate the replacement of the binding belt. The binding belts with high wear degree are replaced regularly. The numerical control machining center displacement analysis module is used to record the initial position of the numerical control machining center and the position when unloading. The displacement direction of the numerical control machining center is determined. Next time, the initial fixed position of the numerical control machining center is moved in the opposite direction, so as to avoid the numerical control machining center moving and touching the transportation tool during transportation. The numerical control machining center partition fixing analysis module is used to partition the numerical control machining center, and the numerical control machining center is bound according to different regions, so as to realize the effect of partition binding.

[0041] The paint wear calculation unit is used to calculate the degree of paint wear on the surface of the CNC machining center, the bolt tightness calculation unit is used to measure the overall fit of the CNC machining center, and the cleaning mode selection unit selects the cleaning mode for the CNC machining center after unloading based on the selected path and weather conditions during transportation.

[0042] Create a truck model:

[0043] The most common means of transportation is the truck. First, the truck is simulated and calculated. The overall parts of the truck are drawn using UG software. The proportions of each part are integrated according to the relationship between them to build the model of the entire truck. In a limited number of collision tests, the mass of different parts is divided and the material of the parts is defined to ensure the accuracy of the simulation test.

[0044] Select appropriate control parameters, control within the calculation time, and control of the output results;

[0045] Each component specification is based on a minimum unit of 5 millimeters, with specification errors controlled within 5 millimeters. Since the main focus of this calculation is on trucks and CNC machining centers, the truck's rear panel and cab are not included in the calculation scope to reduce the amount of calculation and ensure the shape of the truck is maintained.

[0046] In the simulation test, the contact between the CNC machining center and the freight car was artificially defined. The contact types were: the support frame of the CNC machining center contacting the freight car, the machining surface of the CNC machining center contacting the freight car, and the CNC machining center not contacting the freight car and being fixed in the air with straps.

[0047] U = F1 + (F2 - F1)e -(D)V In the formula, U represents the coefficient of friction, F1 represents the coefficient of dynamic friction, F2 represents the coefficient of static friction, D represents the exponential decay coefficient, and V represents the relative velocity between the contact surfaces.

[0048] Bundling Selection Analysis:

[0049] Front and rear end fixing: Two obstruction blocks are used for fixing. The lateral force F exerted on the data processing center by the rear fixing strap is set. 横 Set the autonomous preload pressure of the data processing center to F. 自身 Then F 合 =F 横 +F 自身 In the formula, F 合 The CNC machining center is subjected to comprehensive stress during transportation;

[0050] Let the lateral acceleration be A. 综 Let the downward acceleration of the CNC machining center be A. 下 The mass of the CNC machining center is set to M. 数控 F横 = (A 综 -A 下 )*M 数控 *g, F 自身 =M 数控 *g*A 下 , F 合 =M 数控 *g*A 综 ;

[0051] Set the front and rear straps of the ability to block F 绑带 >F 横 ;

[0052] The selection of the band according to the test F 绑带 determination;

[0053] Up and down fixed: the band is passed through the top of the CNC machining center, and is fixed at both ends of the truck. At this time, the band is straight and inclined downward. Set the tension F 绷 of the band when it is inclined downward. Set the tension F 绷 generated by the friction force F 绷摩 , and set the friction force F 下摩 generated by the downward pressure of the band on the top of the CNC machining center. The horizontal force balance relationship of the CNC machining center is F 绷摩 +F 下摩 >F 合 ;

[0054] F 绷摩 +F 下摩 =F1(M 数控 *A 下 *g+n*F 绷 *sin a), where n is the number of bands, and a is the angle formed by the band and the horizontal plane of the truck.

[0055] F 合 =M 数控 *A 综 *g;

[0056] The band tension is F 绷 ≧[(A 综 -A 下 )*M 数控 *g] / (n*F1*sin a);

[0057] The number of bands n≧[(A 综 -A 下 )*M 数控 *g] / (F1*sin a*F 绷 );

[0058] Path selection process:

[0059] S1. Set the path between the starting point and the end point as N, and send a truck loaded with a numerical control machining center to each path, drive at the normal speed, calculate the time when each path reaches the end point, the number of surrounding lakes and the density of trees;

[0060] S2. Set the number of lakes as W, classify the lakes according to the area size, set the judgment value S1, and the lakes with an area greater than S1 are included in the database, and the lakes with an area less than or equal to S1 are not included in the database. If the path driving time of the slowest path is more than 30 minutes slower than that of the fastest path, the slowest path is automatically deleted. According to the number of lakes, set the rated number of lakes as W1, if W is greater than or equal to W1, this path is automatically deleted;

[0061] S3. Set the tree density as P, and set the tree density rating value as P1. If P is greater than or equal to P1, this path is directly deleted.

[0062] The completion detection process of the numerical control machining center:

[0063] S21. Detect the overall numerical control machining center using a bolt detector, and perform differential detection on each area. The bottom of the numerical control machining center is the support foot, and the detection frequency here is once. The number of bolt connections is small, and too many detection frequencies will reduce efficiency. After detection by the bolt detector, the worker uses a bolt tightener to perform manual detection on the bolt;

[0064] S22. The top of the numerical control machining center is equipped with more equipment, and the connection between the equipment is connected by bolts. According to the road conditions of the selected path, if there are many pits in this path, the bolt tightness is low. Set the total number of pits as K, which is divided into K1-K10, a total of ten levels. K1 represents the least number of pits, and K10 represents the most number of pits. Set the bolt tightness as L, which is divided into L1-L10, a total of ten levels. L1 represents the highest bolt tightness, and L10 represents the lowest bolt tightness. K1-K10 and L1-L10 correspond one by one.

[0065] S23. Obtain the bolt tightness data and determine whether the bolt tightness is qualified. If the bolt tightness is qualified, no manual detection is needed. If the bolt tightness is not qualified, manual detection is needed.

[0066] Numerical control machining center cleaning process:

[0067] According to the number of the bandages, the paint wear amount is determined. The more the number of the bandages, the more the paint wear area. The paint wear area is caused by the friction between the bandages and the numerical control machining center. The rated number of the paint wear area is E. If n is greater than E, the paint wear area is out of control. In this case, the cleaning is not performed, and the cleaning is performed after the paint is repaired. If n is less than or equal to E, the paint wear area is in the controllable range, and the cleaning can be performed.

[0068] It should be noted that the relational terms herein such as first and second and the like are used solely to distinguish one from another entity or action, without necessarily requiring or implying any actual relationship or order between such entities or actions. Moreover, the terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus.

[0069] Finally, it should be noted that the above-mentioned only for the preferred embodiments of the present application, and not for the purpose of limiting the present application, although the foregoing detailed description of the present application is made with reference to the foregoing embodiments, for those skilled in the art, it still can be modified to the technical solutions recorded in the foregoing embodiments, or part of the technical features of the equivalent replacement. Any modification, equivalent replacement, improvement, etc. within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A constant stability control system for a numerical control machining center based on Internet of Things big data, comprising a constant stability control system, characterized in that: The constant stability control system comprises a transportation tool state analysis module, a numerical control machining center fixing module and a stability calculation module, the transportation tool state analysis module comprises a transportation tool speed measurement module, a road stop measurement module, a road condition analysis module and an environment analysis module, the numerical control machining center fixing module comprises a binding belt tension analysis module, a binding belt wear analysis module, a numerical control machining center displacement analysis module and a numerical control machining center partition fixing analysis module, and the stability calculation module comprises a paint wear degree calculation unit, a bolt tightness degree calculation unit and a cleaning mode selection unit; The transportation tool speed measurement module is used for controlling the driving speed of the transportation tool and controlling the upper limit of the transportation capacity of the transportation tool, the road stop measurement module records the number of emergency stops and the force of stepping on the brake of the transportation tool during the entire transportation process, if the force of stepping on the brake of the driver is not the same, the friction force of the transportation tool with the ground is not the same, and the impact force of the numerical control machining center on the transportation tool is not the same, the road condition analysis module is used to record the number of bumps of the transportation tool during operation, and the road surface is calculated and evaluated according to the bump amplitude, another route is selected for the next driving, and the data is planned out after multiple tests, and the environment analysis module is used to measure the number of lakes and the density of trees around the path, because there is a lot of water vapor around the lakes, the numerical control machining center will be corroded, and the trees will scratch the paint on the numerical control machining center, thereby cooperating with the road condition analysis module to calculate the optimal path; The binding belt tension analysis module is used to calculate the binding belt tension and test the relationship between the number of binding belts and the stability of the numerical control machining center, the binding belt wear analysis module calculates the service life of the binding belt, so as to facilitate the replacement of the binding belt, and the binding belt with high wear degree is replaced regularly, the numerical control machining center displacement analysis module is used to record the initial position of the numerical control machining center and the position when unloading, and the moving direction of the numerical control machining center is determined, the initial fixed position of the numerical control machining center is moved in the opposite direction when loading next time, so as to avoid that the numerical control machining center moves and touches the transportation tool during transportation, and the numerical control machining center partition fixing analysis module is used to partition the numerical control machining center, and the numerical control machining center is bound according to different regions, so as to realize the effect of partition binding.

2. The constant stability control system for a CNC machining center based on Internet of Things big data according to claim 1, characterized in that: The paint wear degree calculation unit is used to calculate the paint wear degree of the surface of the numerical control machining center, the bolt tightness degree calculation unit is used to measure the overall fit degree of the numerical control machining center, and the cleaning mode selection unit selects the cleaning mode of the numerical control machining center after unloading according to the selected path and the weather during transportation.

3. The constant stability control system for a CNC machining center based on Internet of Things big data according to claim 2, characterized in that: A truck model is established: The commonly used transportation tool is a truck, the overall parts of the truck are drawn out by using UG software, the parts are matched and integrated according to the relationship between the parts, the model of the entire truck is established, the quality of different parts is divided in a limited number of collision tests, and the material of the parts is defined to ensure the accuracy of the simulation test; The appropriate control parameters, control in the calculation time and output result control are selected. Each component specification is based on a minimum of 5mm unit, specification error control within 5mm, since this calculation subject for truck and CNC machining center, truck rear panel and head box is not included in the calculation range, reduce the amount of calculation, ensure the shape of the truck; 4. The constant stability control system for a CNC machining center based on Internet of Things big data according to claim 3, characterized in that: In the simulation test, the contact between the CNC machining center and the truck is artificially defined, and the contact type is the contact between the support frame of the CNC machining center and the truck, the contact between the machining surface of the CNC machining center and the truck, and the contact between the CNC machining center and the truck. The contact type is the contact between the support frame of the CNC machining center and the truck, the contact between the machining surface of the CNC machining center and the truck, and the contact between the CNC machining center and the truck. Use the bandage to fix it empty; U = F1 + (F2 - F1)e -（D）V where U represents the friction coefficient, F1 represents the dynamic friction coefficient, F2 represents the static friction coefficient, D represents the exponential decay coefficient, and V represents the relative velocity between the contact surfaces.

5. The constant stability control system for a CNC machining center based on Internet of Things big data according to claim 4, characterized in that: The selection process of the path is: S1. Set the path between the starting point and the ending point to N, and send each path to a truck loaded with a CNC machining center, drive at the normal speed, calculate the time length of each path to reach the ending point, the number of surrounding lakes and the tree density; S2. Set the number of lakes to W, classify the lakes according to the area size, set the judgment value S1, and the lakes with an area greater than S1 are included in the database, and the lakes with an area less than or equal to S1 are not included in the database. The path driving time of the slowest path is 30 minutes or more than the fastest path, and the slowest path is automatically deleted. According to the number of lakes, set the rated number of lakes to W1. If W is greater than or equal to W1, this path is automatically deleted; S3. Set the tree density to P, and set the tree density rating value to P1. If P is greater than or equal to P1, this path is directly deleted.

6. The constant stability control system for a CNC machining center based on Internet of Things big data according to claim 5, characterized in that: The completion detection process of the CNC machining center is: S21. Use the bolt detector to detect the whole CNC machining center, and perform differential detection for each area. The bottom of the CNC machining center is the support foot, which is detected once. The number of bolt connections is small, and too many detections will reduce efficiency. After detection by the bolt detector, the worker uses the bolt fastener to detect the bolt manually; S22. The top of the CNC machining center is equipped with more equipment, and the connection between the equipment is connected by bolts. According to the road conditions of the selected path, if there are many pits in this path, the bolt density is low. Set the total number of pits to K, which is K1-K10 in total, K1 represents the least number of pits, and K10 represents the most number of pits. Set the bolt density to L, which is L1-L10 in total, L1 represents the highest bolt density, and L10 represents the lowest bolt density. K1-K10 and L1-L10 correspond one by one; S23. Obtain the bolt density data, and determine whether the bolt density is qualified. If the bolt density is qualified, no manual detection is needed. If the bolt density is not qualified, manual detection is needed.

7. The constant stability control system for a CNC machining center based on Internet of Things big data according to claim 6, characterized in that: The cleaning process of the CNC machining center is: According to the number of the bandage to determine the amount of paint wear, the more the number of the bandage, the more the paint wear area, the paint wear area is generated by the bandage and the numerical control machining center friction, set the paint wear area rated number E, if n is greater than E, it indicates that the paint wear area is out of standard, at this time, no cleaning, waiting for the completion of the paint to clean, if n is less than or equal to E, it indicates that the paint wear area is within the controllable range, can be cleaned.

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