CN114055181B

CN114055181B - Automatic tool machining, detecting and reworking system and method

Info

Publication number: CN114055181B
Application number: CN202111264744.0A
Authority: CN
Inventors: 蒋益民; 占立峰; 温晓宁
Original assignee: Shenzhen Jingjiang Yunchuang Technology Co Ltd
Current assignee: Shenzhen Fulian Jingjiang Technology Co ltd
Priority date: 2021-10-28
Filing date: 2021-10-28
Publication date: 2022-12-09
Anticipated expiration: 2041-10-28
Also published as: CN114055181A

Abstract

The application discloses automatic cutter processing, detecting and reworking system, which comprises a processing assembly line, a big data computing unit and a reworking transmission line. The processing assembly line comprises a plurality of processing stations, a detection station, a processing and conveying unit, a plurality of different processing units and a detection unit. And the big data calculation unit judges whether the cutter material needs to be reworked or not, and determines whether the corresponding processing units need to correct the processing parameters and the processing parameters needing to be corrected. The system can correct the processing unit on line without stopping operation, thereby ensuring the time for processing the cutter material; by timely correcting the processing equipment, the processing unit is prevented from processing more cutter materials which do not accord with the preset processing precision, and the waste of production materials is avoided; through doing over again to the cutter material that needs doing over again for the speed of doing over again of cutter material promotes the correction efficiency of cutter material. The application also discloses an automatic cutter processing, detecting and reworking method.

Description

Automatic tool machining, detecting and reworking system and method

Technical Field

The application relates to the technical field of cutter processing, in particular to an automatic cutter processing, detecting and reworking system and method.

Background

At present, the traditional mode is still adopted to process the cutter for processing the cutter. The conventional way is roughly as follows: firstly, machining a cutter by machining equipment; then, the operator detects the machined tool; then, the operator judges whether the machining of the cutter accords with the preset machining precision according to the detection result, or the operator inputs the detection result into the computer equipment, and the computer equipment judges whether the machining of the cutter accords with the preset machining precision; and further, if the machining of the cutter does not accord with the preset machining precision, an operator or computer equipment judges the machining deviation factor of the cutter so as to correct machining equipment or rework or wait to process the cutter which does not accord with the preset machining precision.

However, in the actual operation process, when an operator finds out that a judgment result is obtained for the machining deviation factor of the cutter, the machining equipment with the deviation factor already machines more cutters which do not accord with the preset machining precision, production materials are wasted, and the production cost is increased; when the processing equipment with deviation factors is corrected, the machine needs to be stopped, so that the processing time of the cutter is shortened, and the processing efficiency of the cutter is reduced.

Disclosure of Invention

In view of the above, there is a need for an automatic tool machining, detecting and reworking system and method, so as to solve the technical problems: when the operating personnel find that a judgment result is obtained for the machining deviation factor of the cutter, the machining equipment with the deviation factor machines more cutters which do not accord with the preset machining precision, the production materials are wasted, and the production cost is increased; when the machining equipment with deviation factors is corrected, the machine needs to be stopped, the machining time of the cutter is shortened, and the machining efficiency of the cutter is reduced.

The application provides an automatic change cutter processing, detection, system of doing over again, the system includes:

a process line, comprising:

a plurality of processing stations which are arranged in a preset sequence,

a detection station, a detection device and a detection device,

a processing and conveying unit for conveying the cutter materials to the processing station and the detection station in sequence according to the preset sequence,

a plurality of different processing units correspondingly arranged at the processing stations, wherein the processing units are respectively used for processing different specifications and sizes of the cutter material, and

the detection unit is arranged at the detection station and is used for carrying out online detection on the different specifications and sizes of the processed cutter material;

the big data calculation unit is used for receiving detection data of the machined tool materials detected by the detection unit, judging whether the detected tool materials need to be reworked or not according to the comparison between the detection data and preset machining precision, and further judging the machining stations to which the tool materials need to be reworked if the tool materials need to be reworked; the big data calculation unit is also used for analyzing trend data of the detection data so as to judge the processing working conditions of the processing units corresponding to the detection data in real time, updating original trend data according to the newly received detection data of the processed cutter material, and determining whether the processing parameters of the corresponding processing units need to be corrected or not and the processing parameters need to be corrected according to the result of the analysis of the updated trend data; and

and the rework conveying line is connected with the plurality of processing stations of the processing assembly line and is used for automatically and reversely conveying the tool materials needing rework to the corresponding processing stations according to the judgment result of the big data calculation unit, wherein the plurality of processing units are also used for automatically and dynamically correcting in real time according to the processing parameters needing to be corrected and determined by the big data calculation unit.

In some embodiments, the processing stations include a cutting station, an outer circle rough grinding station, and a chamfering station, and the processing unit includes a cutting unit disposed at the cutting station for processing the length of the tool material, a rough grinding unit disposed at the outer circle rough grinding station for processing the diameter of the tool material, and a chamfering unit disposed at the chamfering station for processing the chamfer of the tool material.

In some embodiments, the process line further comprises:

and the transfer unit is arranged at the detection station and used for transferring the processed cutter materials from the processing and conveying unit to the detection station and transferring the cutter materials needing to be reworked from the detection station to the reworking conveying line according to the judgment result of the big data calculation unit.

In some embodiments, the process line further comprises:

an operating station, and

the operation unit is arranged on the operation station and is used for operating the cutter material which meets the preset machining precision;

the transfer unit is further used for transferring the cutter materials meeting the preset machining precision from the detection station to the machining transmission unit according to the judgment result of the big data calculation unit, and the machining transmission unit is further used for transmitting the cutter materials meeting the preset machining precision to the operation station.

In some embodiments, the system further comprises:

the processing area is used for placing the cutter material which does not accord with the preset processing precision;

the transfer unit is further used for transferring the cutter materials which do not accord with the preset machining precision from the detection station to the to-be-processed area according to the judgment result of the big data calculation unit.

In some embodiments, the rework conveyor line includes:

the transfer unit is also used for transferring the cutter materials to be reworked to the first reworking conveyor belt; and

the second reworking conveyor belts are arranged corresponding to the processing stations, one end of each second reworking conveyor belt is connected with the corresponding first reworking conveyor belt through a first pushing unit, and the other end of each second reworking conveyor belt is connected with the corresponding processing station through a second pushing unit;

the first pushing unit is used for pushing the cutter materials needing to be reworked to the corresponding second reworking conveyor belt from the first reworking conveyor belt, and the second pushing unit is used for pushing the cutter materials needing to be reworked to the corresponding machining station from the second reworking conveyor belt according to a preset pushing rule.

In some embodiments, the process line further comprises:

and the cleaning unit is used for cleaning the cutter material to be detected.

The automatic cutter processing, detecting and reworking system processes different specifications and sizes of cutter materials through different processing units, and the detecting unit detects the processed cutter materials on line; the big data calculation unit receives the detection data of the detection unit and judges whether the detected cutter material needs to be reworked or not according to the comparison between the detection data and the preset machining precision; the big data calculation unit simultaneously analyzes the trend data of the detection data to judge the processing working conditions of the processing units corresponding to the detection data in real time, updates the original trend data, and determines whether the processing units need to correct the processing parameters and the processing parameters needing to be corrected according to the analysis result of the updated trend data; the rework conveying line automatically and reversely conveys the tool materials to be reworked to one of the corresponding processing stations according to the judgment result of the big data calculation unit; and the processing unit is used for automatically, dynamically and real-timely correcting the processing parameters to be corrected according to the processing parameters determined by the big data calculation unit. The system can perform real-time online detection on the processed cutter material, obtain the processing working conditions of a plurality of processing units according to trend data, correct the processing units on line when judging that the processing units have processing deviation factors, does not need to stop the operation, ensures the processing time of the cutter material and improves the processing efficiency of the cutter material; by timely correcting the processing equipment, the processing unit is prevented from processing more cutter materials which do not accord with the preset processing precision under the condition of having a processing deviation factor, the waste of production materials is avoided, and the production cost is reduced; the tool materials needing to be reworked are reworked, the reworking speed of the tool materials is increased, and the correction efficiency of the tool materials is improved.

The application also provides an automatic cutter processing, detecting and reworking method, which comprises the following steps:

sequentially conveying the cutter materials to different processing stations, and processing the cutter materials with different specifications and sizes at the different processing stations by using different processing units;

carrying out one-stop online detection on different specifications and sizes of the processed cutter material;

receiving detection data of different specifications and sizes of the machined tool material detected by online detection;

judging whether the detected cutter material needs to be reworked or not and the corresponding machining station needing to be reworked according to the comparison between the detection data and the preset machining precision;

if so, transferring the tool material needing to be reworked to the corresponding machining station for reworking;

updating original trend data according to newly received detection data of the machined tool material;

according to the result of the updated trend data analysis, performing trend data analysis on the detection data to judge the processing working conditions of a plurality of different processing units corresponding to the detection data in real time so as to determine whether the processing units need to perform processing parameter correction and processing parameters needing to be corrected;

and automatically, dynamically and real-timely correcting the corresponding processing unit according to the determined processing parameters needing to be corrected.

In some embodiments, the processing station comprises a cutting station, an outer circle rough grinding station and a chamfering station, and the processing unit comprises a length for processing the tool material, which is arranged on the cutting unit of the cutting station, a circle diameter for processing the tool material, which is arranged on the rough grinding unit of the outer circle rough grinding station, and a chamfer for processing the tool material, which is arranged on the chamfering station.

In some embodiments, the method further comprises:

if not, further operating the cutter material which meets the preset machining precision; alternatively, the first and second electrodes may be,

if not, the cutter material which does not accord with the preset machining precision is subjected to treatment.

According to the automatic cutter machining, detecting and reworking method, the machined cutter materials are subjected to online detection by machining different specifications and sizes of the cutter materials, detection data detected by the online detection are received, and whether the detected cutter materials need to be reworked or not is judged according to comparison between the detection data and preset machining precision; trend analysis is carried out on the detection data so as to judge the processing working conditions of a plurality of different processing units corresponding to the detection data in real time, the original trend data are updated, whether the processing parameters of the plurality of different processing units need to be corrected or not and the processing parameters needing to be corrected are determined according to the analysis result of the updated trend data, and automatic dynamic real-time correction is carried out according to the processing parameters needing to be corrected. The method can carry out real-time online detection on the processed cutter material, obtains the processing working conditions of a plurality of processing units for processing the cutter material according to the trend data, and can correct the processing units on line when the processing units are judged to have processing deviation factors, does not need to stop the machine, ensures the processing time of the cutter material and improves the processing efficiency of the cutter material; by timely correcting the processing unit, the processing unit is prevented from processing more cutter materials which do not accord with the preset processing precision under the condition of processing deviation factors, the waste of production materials is avoided, and the production cost is reduced; through doing over again to the cutter material that needs processing for the speed of doing over again of cutter material promotes the correction efficiency of cutter material.

Drawings

Fig. 1 is a schematic perspective view of an automated tool machining, inspection, and rework system according to a first embodiment of the present application.

Fig. 2 is a schematic plan view of the automated tool machining, inspection, and rework system shown in fig. 1.

Fig. 3 is an enlarged schematic view of the region iii shown in fig. 1.

Fig. 4 is an enlarged schematic view of the iv region shown in fig. 1.

Fig. 5 is an enlarged structural view of the v region shown in fig. 1.

Fig. 6 is a table diagram showing reference values, upper tolerance limits, lower tolerance limits and preset machining accuracy of different specifications of the tool material.

Fig. 7 is a table diagram of the detection data of different specifications of the tool material detected by the detection unit.

Fig. 8 is a schematic process diagram of trend data analysis of the detected data by the big data calculating unit according to the first embodiment of the present application.

Fig. 9 is a diagram illustrating comparison between trend data and critical parameters according to the first embodiment of the present application.

Fig. 10 is a schematic flow chart of an automated tool machining, inspection, and rework method according to a second embodiment of the present application.

Description of the main elements

Automatic tool machining, detecting and reworking system 100

Processing line 10

Machining station 11

Feeding station 111

Cutting station 112

Excircle rough grinding station 113

Chamfering station 114

Refining station 115

Inspection station 12

Processing and conveying unit 13

Machining unit 14

Feeding unit 141

Cutting unit 142

Rough grinding unit 143

Chamfering unit 144

Refining unit 145

Detection unit 15

Transfer unit 16

Work station 172

Working unit 174

Cleaning unit 18

Third inductive component 19

Big data computing unit 20

Rework conveyor line 30

First rework conveyor belt 31

Second rework conveyor 32

First pushing unit 33

First driving member 331

First pusher 332

First sensing member 333

Second pushing unit 34

Second driving member 341

The second pushing member 342

Second sensing member 343

Transport element 35

Conveying part 36

To-be-treated zone 40

Guard 50

Tool material 200

Detailed Description

Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative and are only for the purpose of explaining the present application and are not to be construed as limiting the present application.

In the description of the present application, it is to be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," and the like are used in the orientations and positional relationships indicated in the drawings for convenience in describing the present application and for simplicity in description, and are not intended to indicate or imply that the referenced devices or elements must have a particular orientation, be constructed in a particular orientation, and be operated in a particular manner, and are not to be construed as limiting the present application. Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or to implicitly indicate the number of technical features indicated. Thus, features defined as "first" and "second" may explicitly or implicitly include one or more of the described features. In the description of the present application, it is to be noted that the meaning of "a plurality" is two or more unless specifically defined otherwise.

In the description of the present application, it should be noted that, unless otherwise explicitly stated or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, a fixed connection, a detachable connection, or an integral connection; they may be mechanically, electrically, or communicatively linked, directly or indirectly through intervening media, or in a communication or interaction between two elements. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.

In this application, unless expressly stated or limited otherwise, the statement that a first feature is "on" or "under" a second feature may include that the first and second features are in direct contact, and may also include that the first and second features are not in direct contact but are in contact with each other through additional features between them. Also, the first feature "on," "above" and "over" the second feature may include the first feature being directly above and obliquely above the second feature, or merely indicating that the first feature has a higher horizontal thickness than the second feature. "beneath," "under" and "beneath" a first feature includes the first feature being directly beneath and obliquely beneath the second feature, or simply means that the first feature is less horizontally thick than the second feature.

The following disclosure provides many different embodiments or examples for implementing different features of the application. In order to simplify the disclosure of the present application, specific example components and arrangements are described below. Of course, they are merely examples and are not intended to limit the present application. Moreover, the present application may repeat reference numerals and/or letters in the various examples, such repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed.

The embodiment of the application provides an automatic change cutter processing, detect, system of doing over again, the system includes:

a process line, the process line comprising:

a plurality of processing stations which are arranged in a preset sequence,

a detection station, a detection device and a detection device,

a processing and conveying unit for conveying the cutter materials to the processing station and the detection station in sequence according to a preset sequence,

a plurality of different processing units correspondingly arranged on the processing station, wherein the processing units are respectively used for processing different specifications and sizes of the cutter material, and

the big data calculation unit is used for receiving detection data of the machined tool materials detected by the detection unit, judging whether the detected tool materials need to be reworked or not according to the comparison between the detection data and preset machining precision, and further judging the machining stations to which the tool materials need to be reworked if the tool materials need to be reworked; the big data calculation unit is also used for analyzing trend data of the detection data so as to judge the processing working conditions of a plurality of processing units corresponding to the detection data in real time, updating original trend data according to newly received detection data of the processed cutter material, and determining whether the plurality of corresponding processing units need to carry out processing parameter correction and processing parameters needing to be corrected according to the result of the updated trend data analysis; and

According to the automatic cutter processing, detecting and reworking system, different processing units are used for processing different specifications and sizes of cutter materials, and the detecting unit is used for detecting the processed cutter materials on line; the big data calculation unit receives the detection data of the detection unit and judges whether the detected cutter material needs to be reworked or not according to the comparison between the detection data and the preset machining precision; the big data calculation unit simultaneously analyzes the trend data of the detection data to judge the processing working conditions of a plurality of processing units corresponding to the detection data in real time, updates the original trend data, and determines whether the plurality of processing units need to correct the processing parameters and the processing parameters needing to be corrected according to the analysis result of the updated trend data; the rework conveying line automatically and reversely conveys the tool to be reworked to one of the corresponding processing stations according to the judgment result of the big data calculation unit; and the processing unit is used for automatically and dynamically correcting in real time according to the processing parameters needing to be corrected and determined by the big data calculation unit. The system can perform real-time online detection on the machined tool, obtain the machining working conditions of a plurality of machining units according to trend data, correct the machining units on line when judging that the machining units have machining deviation factors, does not need to stop operation, ensures the machining time of the tool and improves the machining efficiency of tool materials; by timely correcting the processing equipment, the processing unit is prevented from processing more cutters which do not accord with the preset processing precision under the condition of processing deviation factors, the waste of production materials is avoided, and the production cost is reduced; the tool materials needing to be reworked are reworked, the reworking speed of the tool materials is increased, and the correction efficiency of the tool materials is improved.

The embodiment of the application simultaneously provides an automatic cutter processing, detecting and reworking method, which comprises the following steps:

if so, transferring the cutter material needing to be reworked to the corresponding machining station for reworking;

updating the original trend data according to the newly received detection data of the machined tool material;

According to the automatic cutter machining, detecting and reworking method, the machined cutter materials are subjected to online detection by machining different specifications and sizes of the cutter materials, detection data detected by the online detection are received, and whether the detected cutter needs to be reworked or not is judged according to comparison between the detection data and preset machining precision; trend analysis is carried out on the detection data so as to judge the processing working conditions of a plurality of different processing units corresponding to the detection data in real time, the original trend data are updated, whether the processing parameters of the plurality of different processing units need to be corrected or not and the processing parameters needing to be corrected are determined according to the analysis result of the updated trend data, and automatic dynamic real-time correction is carried out according to the processing parameters needing to be corrected. The method can carry out real-time online detection on the machined tool, obtains the machining working conditions of a plurality of machining units for machining the tool according to the trend data, and can correct the machining units on line when the machining units are judged to have machining deviation factors, so that the shutdown operation is not needed, the time for machining the tool is ensured, and the machining efficiency of tool materials is improved; by timely correcting the processing unit, the processing unit is prevented from processing more cutters which do not accord with the preset processing precision under the condition of processing deviation factors, the waste of production materials is avoided, and the production cost is reduced; through doing over again to the cutter material that needs processing for the speed of doing over again of cutter material promotes the correction efficiency of cutter material.

Some embodiments of the present application will be described in detail below with reference to the accompanying drawings.

It should be noted that the tool material in this application is a common general definition of those skilled in the art, and rework refers to the tool material being machined again.

Referring to fig. 1, fig. 1 shows an automated tool machining, inspection, and rework system provided in a first embodiment of the present application. The system may be used for machining tool material 200 (shown in fig. 3), real-time on-line inspection of tool material 200, and rework of tool material 200, and may also be used for modification of machining units 14 used to machine tool material 200. In this embodiment, the system includes a processing line 10, a big data computing unit 20, and a rework delivery line 30.

The processing line 10 comprises a number of processing stations 11, a detection station 12, a processing and transport unit 13, a number of different processing units 14 and a detection unit 15. The plurality of processing stations 11 are arranged in a preset sequence; the inspection station 12 is located downstream of the plurality of processing stations 11; the processing and conveying unit 13 is used for sequentially conveying the cutter material 200 to the plurality of processing stations 11 and the detection stations 12 according to a preset sequence; the plurality of different processing units 14 are arranged corresponding to the plurality of processing stations 11, and the plurality of processing units 14 are respectively used for processing different specifications and sizes of the cutter material 200; the detection unit 15 is disposed at the detection station 12, and the detection unit 15 is configured to perform online detection on the machined tool material 200 in the different specifications.

The big data calculation unit 20 is configured to receive detection data of different specifications and sizes of the processed tool material 200 detected by the detection unit 15, where the detection data is different specifications and sizes of the processed tool material 200; and according to the comparison between the detection data and the preset machining precision, judging whether the detected tool material 200 needs to be reworked or not, and if so, further judging the machining station 11 where the tool material 200 needing to be reworked returns, so that the tool material 200 needing to be reworked is machined again by the corresponding machining unit 14. The big data calculation unit 20 is also used for performing trend data analysis on the detection data to judge the processing conditions of a plurality of different processing units 14 corresponding to the detection data of the processed tool material 200 in real time; updating the original trend data according to the newly received detection data of the machined tool material 200; and determining whether the corresponding plurality of different processing units 14 need to be corrected and the processing parameters of the corresponding plurality of different processing units 14 need to be corrected according to the result of the updated trend data analysis.

The rework conveying line 30 is connected to a plurality of processing stations 11 of the processing line 10, and the rework conveying line 30 is used for automatically and reversely conveying the tool material 200 to be reworked to the corresponding processing station 11 according to the judgment result of the big data computing unit 20, so that the tool material 200 to be reworked is processed again by the corresponding processing unit 14.

The plurality of processing units 14 are further configured to perform automatic dynamic real-time correction according to the processing parameters to be corrected, which are determined by the big data calculation unit 20, so that different specifications and sizes of the tool material 200 processed by the plurality of processing units 14 meet preset processing accuracy.

In this embodiment, the tool material 200 is substantially cylindrical, and the different dimensions of the tool material 200 include diameter, length, and chamfer. It is understood that in other embodiments, cutter material 200 may be substantially cylindrical or otherwise shaped, and that different gauge dimensions of cutter material 200 may include more or less features of length, width, depth, chamfer, etc.

Referring to fig. 2, in the present embodiment, the processing station 11 includes a feeding station 111, a cutting station 112, an outer circle rough grinding station 113, a chamfering station 114, and a finish grinding station 115, which are arranged in sequence. The preset sequence is the sequence of loading, cutting, rough grinding, chamfering and fine grinding of the cutter material 200. Correspondingly, the processing unit 14 includes a feeding unit 141, a cutting unit 142, a rough grinding unit 143, a chamfering unit 144, and a finish grinding unit 145. It is understood that in other embodiments, tool material 200 may be loaded directly by a worker or a robot, and as such, loading station 111 and loading unit 141 may be omitted.

It is understood that in other embodiments, the processing stations 11 and processing units 14 may include more or fewer stations and processing units 14 depending on the size of the tool material 200 to be processed. For example, the cutter material 200 has been cut, and accordingly, the machining station 11 may include only the outer-circle rough grinding station 113, the chamfering station 114, and the finish grinding station 115, and the machining unit 14 may include only the rough grinding unit 143, the chamfering unit 144, and the finish grinding unit 145. Further, the different gauge sizes of cutter material 200 include only diameters and chamfers.

In this embodiment, the processing and conveying unit 13 may be a belt conveyor. It is understood that in other embodiments, the processing and conveying unit 13 may be a chain conveyor or other mechanism capable of conveying the tool material 200.

In this embodiment, the detecting unit 15 may be an infrared laser tester, and is configured to detect the diameter, the length, and the chamfer of the processed tool material 200.

One implementation of the process line 10 is generally: firstly, a feeding unit 141 feeds a cutter material 200 to a processing and conveying unit 13 at a feeding station 111, and the processing and conveying unit 13 conveys the cutter material 200 to a cutting station 112; next, the cutting unit 142 cuts the tool material 200 at the cutting station 112, so that the length of the tool material 200 approximately meets the preset machining precision; further, the processing and conveying unit 13 continuously conveys the tool material 200 to the outer circle rough grinding station 113; further, the rough grinding unit 143 performs rough grinding operation on the tool material 200 at the excircle rough grinding station 113, so that the diameter of the tool material 200 approximately meets the preset processing precision; still further, the processing and conveying unit 13 continuously conveys the tool material 200 to the chamfering station 114; still further, the chamfering unit 144 performs chamfering operation on the tool material 200 at the chamfering station 114, so that the chamfer of the tool material 200 approximately meets the preset processing precision; still further, the processing and conveying unit 13 conveys the cutter material 200 to the fine grinding station 115; further, the fine grinding unit 145 performs fine grinding operation on the cutter material 200 at the fine grinding station 115, so that the diameter, the length and the chamfer angle of the cutter material 200 all meet the preset machining precision; still further, the processing and conveying unit 13 continuously conveys the cutter material 200 to the detection station 12; still further, the detection unit 15 detects the processed tool material 200 at the detection station 12 to obtain detection data formed by the diameter, the length and the chamfer of the processed tool material 200.

In this embodiment, the process line 10 further includes a plurality of third sensing elements 19. The third sensing members 19 are arranged on the processing and conveying unit 13 at intervals and are in one-to-one correspondence with the processing units 14, and the third sensing members 19 are used for sensing the positions of the cutter materials 200 conveyed by the processing and conveying unit 13, so that the cutter materials 200 are processed in different specifications and sizes by matching with the processing units 14. The third sensing member 19 may be an infrared laser tester including an infrared laser transmitter for emitting a laser beam and an infrared laser receiver for receiving the laser beam, and when the cutter material 200 passes through the infrared laser tester, the emitted laser beam hits the cutter material 200 of the entity, blocking the laser beam from reaching the infrared laser receiver, which outputs sensing information due to interruption of the laser beam reception. It is understood that in other embodiments, the third sensing element 19 can also be a distance sensor, a position sensor, or the like.

In this embodiment, the big data calculating unit 20 may be a computer device, and the big data calculating unit 20 is electrically connected to the processing line 10 and the rework transmission line 30, respectively. It is understood that in other embodiments, the big data computing Unit 20 may also be other Processing devices such as a Central Processing Unit (CPU) capable of Processing data, receiving data, and sending data.

One implementation process of the big data computing unit 20 is roughly as follows: first, the big data calculation unit 20 receives the detection data from the detection unit 15 in real time; on one hand, then, the big data computing unit 20 compares the detection data with the preset processing precision, and judges whether the detected tool material 200 needs to be reworked or not according to the comparison of the detection data with the preset processing precision; further, if rework is needed, the big data computing unit 20 controls the processing line 10 and the rework conveying line 30 to rework the tool material 200 to be reworked to the corresponding processing station 11; on the other hand, the big data calculating unit 20 performs trend data analysis on the detected data at the same time to determine the processing conditions of a plurality of different processing units 14 corresponding to the detected data of the processed tool material 200 in real time; further, the big data calculation unit 20 updates the original trend data according to the newly received detection data of the machined tool material 200; still further, the big data calculation unit 20 determines whether the corresponding processing units 14 need to perform processing parameter correction according to the result of the updated trend data analysis, and determines the processing parameters that need to be corrected; still further, the big data computing unit 20 controls the corresponding processing units 14 to perform automatic dynamic real-time correction according to the processing parameters to be corrected.

In this embodiment, the judgment result of the big data calculating unit 20 includes that the tool material 200 needs to be reworked, the tool material 200 meets the preset machining precision, and the tool material 200 does not meet the preset machining precision. Specifically, the tool material 200 meets the preset machining precision, that is, the diameter, the length and the chamfer angle of the tool material 200 all meet the preset machining precision; the tool material 200 needs to be reworked such that at least one of the diameter, the length and the chamfer of the tool material 200 does not meet the preset machining precision, but can be reworked to meet the preset machining precision; the tool material 200 does not conform to the predetermined machining accuracy is that at least one of the diameter, the length, and the chamfer of the tool material 200 does not conform to the predetermined machining accuracy, and cannot conform to the predetermined machining accuracy through rework.

In this embodiment, the processing line 10 may further include a transfer unit 16. The transfer unit 16 is disposed at the inspection station 12, and the transfer unit 16 is configured to transfer the processed tool material 200 from the processing and conveying unit 13 to the inspection station 12, and is configured to transfer the tool material 200 requiring rework from the inspection station 12 to the rework conveying line 30 according to one of the determination results of the big data calculating unit 20. It will be appreciated that in other embodiments, the transfer unit 16 may also be disposed adjacent the inspection station 12.

Referring to fig. 3, in some embodiments, the transfer unit 16 may be a robot arm. It is understood that in other embodiments, the transfer unit 16 may be a three-axis linear module or other mechanism capable of transferring the tool material 200.

Referring to fig. 1 and 2, in the present embodiment, the processing line 10 may further include a work station 172 and a work unit 174. The operation station 172 is located downstream of the detection station 12, the operation unit 174 is disposed at the operation station 172, and the operation unit 174 is used for performing further operation on the tool material 200 meeting the preset machining accuracy. Specifically, the transfer unit 16 is further configured to transfer the tool material 200 meeting the preset machining precision from the detection station 12 to the machining transfer unit 13 according to one of the determination results of the big data calculation unit 20, and the machining transfer unit 13 further transfers the tool material 200 meeting the preset machining precision to the operation station 172, so that the operation unit 174 performs further operation on the tool material 200 at the operation station 172. In some embodiments, further operations performed on tool material 200 by operations unit 174 may include at least one of marking, cleaning, drying, packaging, and warehousing.

It is understood that in other embodiments, tool material 200 meeting the predetermined machining accuracy may be transferred directly from transfer unit 16 to work station 172. In this manner, a part of the processing and conveying unit 13 can be omitted.

In this embodiment, the system may further include a treatment region 40. The to-be-processed area 40 is used for placing the cutter material 200 which does not accord with the preset processing precision, and the cutter material 200 in the to-be-processed area 40 can be scrapped, recycled and the like. Specifically, the to-be-treated region 40 may be a mechanism having a housing function. The transfer unit 16 is also used for transferring the tool material 200 which does not meet the preset machining accuracy from the detection station 12 to the region to be processed 40 according to one of the judgment results of the big data calculation unit 20.

Referring to fig. 1 and fig. 3, in this embodiment, the processing line 10 may further include a cleaning unit 18, where the cleaning unit 18 is configured to clean the tool material 200 to be detected, so as to prevent the detection accuracy of the detection unit 15 from being affected by the existence of the debris on the tool material 200. Cleaning unit 18 may be a high pressure air gun that blows debris and other impurities off of cutter material 200 via a positive pressure air stream.

Referring to fig. 2, in the embodiment, the rework conveyor line 30 includes a first rework conveyor 31 and a plurality of second rework conveyors 32, and the conveying direction of the first rework conveyor 31 is opposite to the processing flow direction, which can also be understood as the conveying direction of the first rework conveyor 31 is opposite to the conveying direction of the processing conveying unit 13. A plurality of second rework conveyors 32 are provided corresponding to the plurality of process stations 11. One end of each second rework conveyor 32 is connected to the first rework conveyor 31 through a first pushing unit 33, and the other end of each second rework conveyor 32 is connected to the corresponding processing station 11 through a second pushing unit 34. The transfer unit 16 is also used to transfer the tool material 200 requiring rework to the first rework conveyor belt 31 according to one of the judgment results of the big data calculation unit 20. The first rework conveyor 31 is substantially L-shaped, and a part of the first rework conveyor 31 is perpendicular to the processing and conveying unit 13, and another part of the first rework conveyor 31 is parallel to the processing and conveying unit 13. Each second rework conveyor 32 is perpendicular to the process conveyor unit 13. It will be appreciated that the first rework conveyor 31 may also be straight, with the first rework conveyor 31 being disposed at an angle relative to the process conveyor unit 13.

The first pushing unit 33 is configured to push the tool material 200 to be reworked from the first rework conveyor belt 31 to the corresponding second rework conveyor belt 32, and the second pushing unit 34 is configured to push the tool material 200 to be reworked from the second rework conveyor belt 32 to the corresponding processing station 11 according to a preset pushing rule.

In this embodiment, the number of the second rework conveyors 32 is three, three second rework conveyors 32 are respectively connected to the cutting-off station 112, the outer circle rough grinding station 113 and the chamfering station 114, and the three second rework conveyors 32 are respectively used for conveying the tool material 200 to be reworked to the cutting-off station 112, the outer circle rough grinding station 113 and the chamfering station 114. Accordingly, the number of the first pushing units 33 is three, and the number of the second pushing units 34 is also three. A protection member 50 (shown in fig. 1) is disposed at a connection position of the first rework conveyor belt 31 and the second rework conveyor belt 32, and the protection member 50 is used for protecting the first pushing unit 33 from external impurities and ensuring the pushing precision of the first pushing unit 33.

Referring to fig. 4, fig. 4 is a partial schematic structural view of a connecting portion of the first rework conveyor belt 31 and one of the second rework conveyor belts 32, with the guard 50 omitted. The first pushing unit 33 includes a first driving member 331, a first pushing member 332 and a first sensing member 333, the first pushing member 332 is connected to the first driving member 331, the first sensing member 333 is an infrared laser tester, the first driving member 331 may be an air cylinder, the first pushing member 332 is substantially L-shaped, and the first pushing member 332 is located above the first rework conveyor belt 31. A transport element 35 is provided at the junction of the first and

second rework conveyors

31, 32, the transport element 35 being substantially wedge-shaped. After the first sensing member 333 senses the position of the tool material 200, the first driving member 331 drives the first pushing member 332 to move, the first pushing member 332 pushes the tool material 200 to move toward the second rework conveyor belt 32, and the tool material 200 rolls from the conveying member 35 onto the second rework conveyor belt 32. In this way, the first pushing unit 33 is facilitated to push the tool material 200 from the first rework conveyor belt 31 to the second rework conveyor belt 32. Since the distance from the first rework conveyor 31 and the first sensing member 333 to the first pushing member 332 is known, the time when the tool material 200 reaches the first pushing member 332 can be predicted, and accordingly, the first driving member 331 can accurately perform the pushing operation before the tool material 200 reaches the first pushing member 332.

It is understood that the first pushing member 332 may be straight in other embodiments.

Referring to fig. 5, fig. 5 is a partial schematic structural view of a joint between one of the second rework conveyor 32 and the chamfering station 114, with the chamfering unit 144 omitted. The second pushing unit 34 includes a second driving member 341, a second pushing member 342, and a second sensing member 343, the second pushing member 342 is connected to the second driving member 341, the second sensing member 343 is an infrared laser tester, the second driving member 341 may be an air cylinder, the second pushing member 342 is substantially linear, and an end of the second pushing member 342 away from the second driving member 341 is an inclined surface. The connection between the second rework conveyor 32 and the chamfering station 114 is provided with a conveying portion 36, the conveying portion 36 is substantially a groove, the conveying portion 36 has an inclined surface, and the inclined surface of the conveying portion 36 and the inclined surface of the second pushing member 342 are located on the same surface, so that the tool material 200 can roll down onto the second pushing member 342. After the second sensing member 343 senses the position of the cutter material 200, the second driving member 341 starts to prepare to drive the second pushing member 342 to move to the lowest position of the conveying portion 36. When the second rework conveyor 32 conveys the material to one end of the second rework conveyor 32 close to the chamfering station 114, the cutter material 200 rolls from the inclined surface of the conveying part 36 to the lowest position of the conveying part 36 under the action of gravity, that is, onto the second pushing member 342, the second driving member 341 pushes the cutter material 200 to the processing and conveying unit 13 corresponding to the chamfering station 114 according to the preset pushing rule, and the cutter material 200 can be processed again by the chamfering unit 144 at the chamfering station 114. Thus, rework of the tool material 200 is achieved.

In some embodiments, the preset push rule may be: the conveying speed of the processing conveying unit 13 is controllable, the length of the processing conveying unit 13 is fixed, when the second pushing unit 34 pushes the cutter material 200, after the last cutter-making material 200 passes through, the second pushing unit 34 pushes the cutter material 200 to the processing conveying unit 13, so that the reworked cutter material 200 and the cutter-making material 200 are sequentially processed on the processing conveying unit 13 at a fixed speed, and the cutter material 200 needing to be reworked is seamlessly cut into the cutter-making material 200.

Specifically, after the tool material 200 to be reworked passes through the second sensing member 343, the second pushing member 342 is driven by the second driving member 341 to be in the low level position, and the tool material 200 reaches the end of the second rework conveyor 32, enters the conveying portion 36, and rolls down onto the second pushing member 342 in the low level position. The third sensing member 19 senses the tool-making material 200 about to enter the next unit from the previous node, and combines the time and the transfer speed of the previous passing tool-making material 200, so that the tool-making material 200 can be pushed onto the processing and transferring unit 13 by the second pushing member 342 and the second driving member 341 to perform the rework operation, as described above when the tool-making material 200 has passed through the processing and transferring unit 13 where the second pushing member 342 is located.

One implementation of the rework transfer line 30 may be substantially as follows: the big data computing unit 20 judges that a tool material 200 needs to be reworked, and the chamfer needs to be processed again by the tool material 200 needing to be reworked; firstly, the transferring unit 16 transfers the cutter material 200 to the first rework conveyor belt 31 according to the judgment result of the big data calculating unit 20, and the cutter material 200 moves on the first rework conveyor belt 31; next, the first sensing member 333 in the first pushing unit 33 corresponding to the chamfering station 114 senses that the tool material 200 is transferred to the position corresponding to the chamfering station 114; still further, the first driving element 331 and the first pushing element 332 in the first pushing unit 33 push the tool material 200 onto the second rework conveyor belt 32 connected to the chamfering station 114, and the second rework conveyor belt 32 conveys the tool material 200; further, when the second sensing member 343 in the second pushing unit 34 corresponding to the chamfering station 114 senses the position of the tool material 200, the second driving member 341 in the second pushing unit 34 drives the second pushing member 342 to move to a low level position, and the tool material 200 rolls down onto the second pushing member 342; further, the second driving member 341 pushes the tool material 200 to the processing and conveying unit 13 corresponding to the chamfering station 114 according to a preset pushing rule. In this way, the tool material 200 can be machined again by the chamfering unit 144, so that the tool material 200 meets the preset machining accuracy.

Yet another implementation of the rework transfer line 30 may be substantially as follows: the big data calculation unit 20 judges that a tool material 200 needs to be reworked, and the length of the tool material 200 needs to be processed again; firstly, the transferring unit 16 transfers the tool material 200 to the first rework conveyor belt 31 according to the judgment result of the big data calculating unit 20, and the tool material 200 moves on the first rework conveyor belt 31; then, the first sensing member 333 in the first pushing unit 33 corresponding to the cutting station 112 senses that the cutter material 200 is conveyed to the position corresponding to the cutting station 112; still further, the first driving element 331 and the second pushing element 342 in the first pushing unit 33 push the tool material 200 onto the second rework conveyor belt 32 connected to the cutting station 112, and the second rework conveyor belt 32 conveys the tool material 200; further, when a second sensing member 343 in the second pushing unit 34 corresponding to the cutting station 112 senses the position of the tool material 200, a second driving member 341 in the second pushing unit 34 drives the second pushing member 342 to move to a low level position, and the tool material 200 rolls down onto the second pushing member 342; further, the second driving member 341 pushes the tool material 200 to the processing and transferring unit 13 corresponding to the cutting station 112 according to a preset pushing rule. In this way, the tool material 200 can be processed again by the cutting unit 142, so that the tool material 200 meets the preset processing accuracy. It can be understood that if the diameter and the chamfer of the cutter material 200 both meet the preset machining accuracy, the cutter material 200 does not need to be machined again by the roughing unit 143 and the chamfering unit 144 while passing through the roughing unit 143 and the chamfering unit 144. If at least one of the diameter and the chamfer of the tool material 200 does not meet the preset machining accuracy, the tool material 200 may be further machined again by at least one of the corresponding roughing unit 143 and chamfering unit 144 while passing through the roughing unit 143 and chamfering unit 144, so that the tool material 200 meets the preset machining accuracy.

The present embodiment is described by taking different specifications of the tool material 200, including diameter, length and chamfer, as an example. The reference values, the upper tolerance limit, the lower tolerance limit and the preset machining precision of different specifications of the tool material 200 can be shown in fig. 6.

Referring to fig. 6, the diameter, the length and the chamfer of the tool material 200 all have a corresponding predetermined machining precision, and when the diameter, the length and the chamfer of the machined tool material 200 all conform to the predetermined machining precision, the machined tool material 200 does not conform to the predetermined machining precision.

In one embodiment, the detection data of different sizes of the tool material 200 detected by the detection unit 15 may be as shown in fig. 7.

Referring to fig. 8, fig. 8 is a schematic diagram illustrating a process of analyzing trend data of the detected data by the big data calculating unit 20. The trend data formed by the big data calculation unit 20 according to the detection data is shown as 8c in fig. 8, the result of the trend data analysis can approximately reflect the processing condition of each processing unit 14, and the processing condition of each processing unit 14 can be preliminarily judged according to the result of the trend data analysis. It should be noted that the machining condition may be a wear condition of each machining unit 14.

The process of analyzing the trend data of the detected data by the big data calculating unit 20 may specifically be: firstly, sequencing the data of NO1-NO10 acquired by the detection unit 15 in sequence according to time, and analyzing trend data of the diameter, the length and the chamfer angle respectively, so as to judge the processing working conditions of different processing units 14 respectively; then, connecting the sorted data to form a first image shown as 8a in fig. 8; still further, the abnormal values in the first image are processed to form a second image as shown in 8b in fig. 8, so as to ensure that the result of the trend data analysis has better accuracy; still further, the second image is optimized to form a third image as shown in 8c in fig. 8, which can be understood as an image in which the big data calculating unit 20 performs trend data analysis on the detected data.

The present embodiment specifically describes a process for processing an abnormal value in a first image by taking diameter data of a tool material 200 as an example: the big data calculation unit 20 obtains two differences of the diameter data of each tool material 200 and the diameter data of the tool materials 200 of the adjacent two nodes. In this embodiment, the difference between the diameter data of the NO4 tool material 200 and the diameter data of the NO3 tool material 200 is 0.004mm, the difference between the diameter data of the NO4 tool material 200 and the diameter data of the NO5 tool material 200 is 0.004mm, both of the above differences exceed a preset difference range, the diameter data corresponding to the NO4 tool material 200 is an abnormal value, and the analysis of the data trend of the diameter should be established on the basis of deleting the diameter data corresponding to the NO4 tool material 200, which can be understood that after the diameter data corresponding to the NO4 tool material 200 is deleted, the diameter data corresponding to the NO5-NO10 tool material 200 is sequentially moved forward and supplemented. In this embodiment, the preset difference range may be 0.0015mm to 0.0025mm.

It should be noted that, during the processing process, a bad incoming material or a measurement error or some sudden external factor influence may be generated, which may cause the detection data of the individual tool material 200 to suddenly change, and have a larger difference with the detection data of the previous and subsequent tool materials 200, so that it is necessary to process abnormal values in the detection data, and perform trend analysis on all the detection data after processing, so as to obtain a trend data diagram according with the processing condition variation trend of the processing unit 14, and reduce the trend of the size variation of the tool material 200 to the maximum extent.

Referring to fig. 9, still taking the diameter data of the cutter material 200 as an example for description, in this embodiment, the critical parameter range of the diameter of the cutter material 200 is 3.995mm-3.998mm, the critical parameter range is a critical value when the processing condition of each processing unit 14 is within the safety range, and if the critical parameter range is exceeded, it is described that the processing condition of each processing unit 14 has a processing deviation factor, and the processing unit 14 needs to be corrected. In the present embodiment, the big data calculating unit 20 determines that the diameter data corresponding to NO10 exceeds the critical parameter range, i.e. there is a processing deviation factor in the processing condition of the rough grinding unit 143. The machining tolerance factor of the rough grinding unit 143 may be that the grinding wheel of the rough grinding unit 143 wears during continuous machining, and the worn grinding wheel causes the diameter of the tool material 200 to become larger when machining the NO10 tool material 200. The big data calculation unit 20 determines the machining parameter correction required by the rough grinding unit 143 and the machining parameter correction required by the grinding wheel of the rough grinding unit 143.

In this embodiment, the critical parameter range is smaller than the predetermined processing precision. Therefore, even if the different specifications of the machined tool material 200 exceed the critical parameter range, the machining precision is still within the safety range of the preset machining precision, and when each machining unit 14 is corrected, the different specifications of the tool material 200 machined by each machining unit 14 also meet the preset machining precision, so that the continuous and stable production of the tool material 200 can be ensured.

In some embodiments, one implementation of the big data calculating unit 20 determining the processing parameters that need to be corrected may be: the big data calculation unit 20 performs analysis in conjunction with the type of tool material 200, the machining unit 14, machining parameters of the machining unit 14, machining conditions of the machining unit 14, and other information. For example, a large amount of experimental data and production data are stored in the big data computing unit 20, when the diameter of the tool material 200 is too large, the corresponding machining deviation factor of the rough grinding unit 143 may be that the abrasion of the grinding wheel is too large, which results in an increase in the distance between the abrasion surface of the grinding wheel and the tool material 200, and the corresponding machining parameter to be corrected is to reduce the distance between the grinding wheel and the tool material 200, so that the distance between the abrasion surface of the grinding wheel and the tool material 200 eliminates the machining deviation factor caused by the abrasion of the grinding wheel. It is understood that the big data calculating unit 20 can also perform self-learning by means of deep learning, so as to improve the accuracy of the big data calculating unit 20 in determining the processing parameters which need to be corrected.

In some embodiments, for example, when the diameter data exceeds the critical parameter range, the big data calculation unit 20 may also determine that the rough grinding unit 143 and the finish grinding unit 145 need to be corrected for the machining parameters at the same time.

In this embodiment, as shown in fig. 8c, the chamfering data of the tool material 200 has a tendency of continuously decreasing, the big data calculating unit 20 can thus preliminarily determine that the grinding wheel of the chamfering unit 144 is continuously worn, the chamfering unit 144 needs to correct the machining parameters, and the big data calculating unit 20 determines the machining parameters that the chamfering unit 144 needs to correct in this case.

In this embodiment, the basis of the determination result obtained by the big data calculating unit 20 according to the comparison between the detection data and the preset processing precision may be:

(1) When all the detection items of the cutter material 200 accord with the corresponding preset machining precision, the cutter material 200 accords with the preset machining precision, and the cutter material 200 can be transferred to the operation station 172;

(2) When the length or the diameter of the tool material 200 is smaller than the corresponding lower limit value of the preset machining precision, or the chamfer of the tool material 200 is larger than the corresponding upper limit value of the preset machining precision, if the tool material 200 meets at least one of the three items, it indicates that the tool material 200 is machined excessively, so that the tool material 200 cannot meet the preset machining precision through rework, and the tool material 200 is transferred to the region to be processed 40;

(3) When none of the detection items of the tool material 200 is in the condition of (2), and at least one of the detection items of the tool material 200 does not conform to the preset machining precision, the tool material 200 can be reworked to conform to the preset machining precision, and the tool material 200 is transferred onto the rework conveying line 30 to be machined again by the corresponding machining unit 14.

The automatic cutter processing, detecting and reworking system can perform real-time online detection on the processed cutter material 200, obtain the processing working conditions of the plurality of processing units 14 according to trend data, correct the processing units 14 on line when judging that the processing units 14 have processing deviation factors, avoid stopping operation, ensure the processing time of the cutter material 200, improve the processing efficiency of the cutter material 200 and ensure that the cutter material 200 can be continuously and stably produced; by timely correcting the processing unit 14, the processing unit 14 is prevented from processing more cutter materials 200 which do not accord with the preset processing precision under the condition of the existence of processing deviation factors, the waste of production materials is avoided, the production cost is reduced, and the stable quality of the cutter materials 200 is ensured; the tool material 200 needing to be reworked is reworked on line, so that the reworking speed of the tool material 200 is increased, and the correction efficiency of the tool material 200 is improved; shift to operation station 172 through the cutter material 200 that will accord with preset machining precision and shift to pending district 40 to the cutter material 200 that will not accord with preset machining precision, promote the degree of automation of cutter material 200 processing, this system realizes cutter material 200 automatic sorting, promotes cutter material 200's letter sorting efficiency, guarantees the high-efficient operation of cutter material 200 processing.

Referring to fig. 10, fig. 10 is a schematic flow chart illustrating an automated tool machining, detecting, and reworking method according to a second embodiment of the present application. This method is merely an example, as there are many ways to implement the method. The method comprises the following steps:

and S302, sequentially conveying the cutter materials 200 to different processing stations 11, and processing the cutter materials 200 with different specifications and sizes by using different processing units 14 at the different processing stations 11.

In this embodiment, different specifications and sizes of the tool material 200 are processed at a plurality of corresponding processing stations 11 by a plurality of different processing units 14, and the tool material 200 is driven to move between the processing stations 11 by a processing and conveying unit 13. In this embodiment, the processing station 11 includes at least a cutting station 112, an outer circle rough grinding station 113, a chamfering station 114, and a finish grinding station 115, and correspondingly, the processing unit 14 includes a cutting unit 142, a rough grinding unit 143, a chamfering unit 144, and a finish grinding unit 145. Different gauge sizes of cutter material 200 include diameter, length, and chamfer. The cutting unit 142 is used for cutting the cutter material 200, so that the length of the cutter material 200 approximately meets a preset processing precision. The rough grinding unit 143 is configured to perform a rough grinding operation on the tool material 200 so that the diameter of the tool material 200 substantially conforms to a preset machining precision. The chamfering unit 144 is configured to perform a chamfering operation on the tool material 200 so that the tool material 200 of the tool material 200 substantially conforms to a preset machining accuracy.

And S304, carrying out one-stop online detection on different specifications and sizes of the processed cutter material 200.

In this embodiment, a detection unit 15 performs a one-stop online detection on the processed tool material 200 at a detection station 12. The detection unit 15 obtains detection data of different specifications and sizes of the machined tool material 200. The one-stop online detection may be understood as grabbing the tool material 200, detecting the tool material 200, transferring the detected tool material 200, and the like.

In some embodiments, before performing S304, S303 may also be performed to clean tool material 200 to be inspected.

In the present embodiment, after the tool material 200 is machined, there may be impurities such as chips, and the tool material 200 is cleaned by a cleaning unit 18, so as to prevent the impurities such as chips on the tool material 200 from affecting the detection accuracy of the detection unit 15.

And S306, receiving detection data of different specifications and sizes of the machined tool material 200 detected by online detection.

In the present embodiment, the detection data acquired by the detection unit 15 is received by a big data calculation unit 20. The big data calculating unit 20 has functions of receiving data, processing data, and transmitting data.

And S308, judging whether the detected cutter material 200 needs to be reworked or not and the corresponding machining station 11 needing to be reworked according to the comparison between the detection data and the preset machining precision.

In this embodiment, the big data calculating unit 20 compares the received detection data with the preset machining precision to obtain a determination result, and determines whether the detected tool material 200 needs to be reworked and the corresponding machining station 11 that needs to be reworked according to the determination result. The judgment result comprises: the tool material 200 needs to be reworked, the tool material 200 meets the preset machining precision, and the tool material 200 does not meet the preset machining precision. Wherein the cutter material 200 meets the preset processing precision, and the diameter, the length and the chamfer angle of the cutter material 200 all meet the preset processing precision; the tool material 200 needs to be reworked such that at least one of the diameter, the length and the chamfer of the tool material 200 does not meet the preset machining precision, but can meet the preset machining precision through reworking; the tool material 200 does not conform to the predetermined machining accuracy is that at least one of the diameter, the length, and the chamfer of the tool material 200 does not conform to the predetermined machining accuracy, and cannot conform to the predetermined machining accuracy by rework.

And S310, if so, transferring the tool material 200 needing to be reworked to the corresponding processing station 11 for reworking.

In this embodiment, a transferring unit 16 transfers the tool material 200 to be reworked to a rework conveying line 30 according to the determination result of the big data calculating unit 20, and the tool material 200 to be reworked is conveyed to the corresponding processing station 11 by the rework conveying line 30 and is processed again by the corresponding processing unit 14.

In some embodiments, after S308 is executed, if no, S312 may also be executed, and then the tool material 200 meeting the preset machining precision is further processed.

In this embodiment, if the big data calculating unit 20 determines that the tool material 200 meets the predetermined machining precision, the transferring unit 16 transfers the tool material 200 meeting the predetermined machining precision to an operation station 172 according to the determination result of the big data calculating unit 20, and the corresponding operation unit 174 performs further operation.

In some embodiments, after S308 is executed, if no, S314 may also be executed, and the tool material 200 that does not meet the preset machining precision is to be processed.

In this embodiment, if the big data calculating unit 20 determines that the tool material 200 does not meet the predetermined machining precision, the transferring unit 16 transfers the tool material 200 that does not meet the predetermined machining precision to a region to be processed 40 according to the determination result of the big data calculating unit 20, and waits for processing.

After S306 is executed, S316 may be further executed to update the original trend data according to the newly received detection data of the machined tool material 200.

In this embodiment, the big data calculating unit 20 receives the detection data of the new processed tool material 200 in real time, and updates the original trend data to reduce the trend of the size change of the tool material 200 to the maximum extent, which is beneficial to determining the processing conditions of each processing unit 14. It should be noted that S308 and S316 may be executed simultaneously or sequentially.

S318, according to the updated trend data analysis result, performing trend data analysis on the detected data to determine the processing conditions of the processing units 14 corresponding to the detected data in real time, so as to determine whether the processing units 14 need to perform processing parameter modification and determine the processing parameters that need to be modified.

In this embodiment, the big data calculating unit 20 performs trend data analysis on the plurality of detected data to determine the processing conditions of the plurality of different processing units 14. Specifically, the big data calculation unit 20 performs trend data analysis on the diameter, the length, and the chamfer of the tool material 200, respectively. When the trend data of at least one of the diameter, the length and the chamfer exceeds a critical parameter range, it indicates that the corresponding processing unit 14 has a processing deviation factor, and the processing unit 14 needs to perform processing parameter correction. The big data calculation unit 20 analyzes the type of the tool material 200, the machining unit 14, the machining parameters of the machining unit 14, the machining conditions of the machining unit 14, and other information to determine the machining parameters of the machining unit 14 that need to be modified.

And S320, automatically, dynamically and real-timely correcting the corresponding processing unit 14 according to the processing parameters which are determined to be corrected.

In this embodiment, when at least one processing unit 14 needs to perform the processing parameter modification, the at least one processing unit 14 performs the automatic dynamic real-time modification on the corresponding processing unit 14 according to the processing parameter needing to be modified determined by the big data calculating unit 20, so as to prevent the at least one processing unit 14 from processing more tool materials 200 that do not conform to the predetermined processing precision.

The automatic cutter processing, detecting and reworking method can perform real-time online detection on the processed cutter material 200, obtain the processing working conditions of the plurality of processing units 14 according to the trend data, correct the processing units 14 on line when judging that the processing units 14 have processing deviation factors, avoid stopping operation, ensure the processing time of the cutter material 200, improve the processing efficiency of the cutter material 200 and ensure the continuous and stable production of the cutter material 200; by timely correcting the processing unit 14, the processing unit 14 is prevented from processing more cutter materials 200 which do not accord with the preset processing precision under the condition of the existence of processing deviation factors, the waste of production materials is avoided, the production cost is reduced, and the stable quality of the cutter materials 200 is ensured; the tool material 200 needing to be reworked is reworked on line, so that the reworking speed of the tool material 200 is increased, and the correction efficiency of the tool material 200 is improved; shift to operation station 172 and shift to the pending district 40 through the cutter material 200 that will accord with preset machining precision and will be nonconforming to preset machining precision, promote the degree of automation of cutter material 200 processing, this system realizes cutter material 200 automatic sorting, promotes cutter material 200's letter sorting efficiency, guarantees the high-efficient operation of cutter material 200 processing.

It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it will be obvious that the term "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. Several units or systems recited in the system claims may also be implemented by one and the same unit or system in software or hardware.

Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present application and not for limiting, and although the present application is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present application without departing from the spirit and scope of the technical solutions of the present application.

Claims

1. An automated tool machining, inspection, rework system, the system comprising:

a process line, comprising:

a plurality of processing stations which are arranged in a preset sequence,

a detection station, a detection device and a detection device,

the big data calculation unit is used for receiving detection data of the machined tool materials detected by the detection unit, judging whether the detected tool materials need to be reworked or not according to the comparison between the detection data and preset machining precision, and further judging the machining stations to which the tool materials need to be reworked if the tool materials need to be reworked; the big data calculation unit is also used for analyzing trend data of the detection data so as to judge the processing working conditions of the processing units corresponding to the detection data in real time, updating original trend data according to the newly received detection data of the processed cutter material, and determining whether the processing parameters of the corresponding processing units need to be corrected or not and the processing parameters need to be corrected according to the result of the analysis of the updated trend data;

the rework conveying line is connected with the plurality of processing stations of the processing assembly line and is used for automatically and reversely conveying the tool materials to be reworked to the corresponding processing stations according to the judgment result of the big data computing unit, wherein the plurality of processing units are also used for automatically and dynamically correcting in real time according to the processing parameters to be corrected determined by the big data computing unit;

the transfer unit is arranged at the detection station and used for transferring the processed cutter materials from the processing and conveying unit to the detection station and transferring the cutter materials needing to be reworked from the detection station to the rework conveying line according to the judgment result of the big data calculation unit;

the rework transfer line includes:

2. The system of claim 1, wherein the processing stations include a cutting station, an outer circle roughing station, and a chamfering station, the processing units including a cutting unit disposed at the cutting station for processing a length of the tool material, a roughing unit disposed at the outer circle roughing station for processing a radius of the tool material, and a chamfering unit disposed at the chamfering station for processing a chamfer of the tool material.

3. The system of claim 1, the process line further comprising:

an operating station, and

the transfer unit is further used for transferring the cutter material meeting the preset machining precision from the detection station to the machining conveying unit according to the judgment result of the big data calculation unit, and the machining conveying unit is further used for conveying the cutter material meeting the preset machining precision to the operation station.

4. The system of claim 1, further comprising:

5. The system of claim 1, the process line further comprising:

and the cleaning unit is used for cleaning the cutter material to be detected.

6. An automated tool machining, detection, rework method, the method comprising:

and automatically and dynamically correcting the corresponding processing unit in real time according to the determined processing parameters needing to be corrected.

7. The method of claim 6, wherein the processing stations include a cutting station, an outer circle rough grinding station, and a chamfering station, the processing units including a length for processing the tool material of the cutting unit disposed at the cutting station, a circle diameter for processing the tool material of the rough grinding unit disposed at the outer circle rough grinding station, and a chamfering unit for processing a chamfering of the tool material of the chamfering station.

8. The method of claim 6, the method further comprising: