TWI793379B - Part processing planning method, part processing planning system using the same, part assembly planning method, part assembly planning system using the same, and computer program product thereof - Google Patents

Abstract

A part processing planning method includes the following steps. Firstly, a specific tolerance of a nominal size of a part is obtained. Then, a preset tolerance of each of processes is obtained. Then, using a process dimension chain establishing technique, at least one preset tolerance associated with the specification tolerance from the preset tolerances is obtained. Then, at least one preset tolerance associated with the specification tolerance is accumulated to obtain a size cumulative tolerance. Then, whether the size cumulative tolerance meets the specification tolerance is determined. Then, at least one preset tolerance associated with the specification tolerance is redistributed when the cumulative tolerance does not meet the specification tolerance, such that the size cumulative tolerance is within the specification tolerance.

Description

Parts processing planning method, part processing planning system using it System, parts assembly planning method, parts assembly planning system and its computer program products

This disclosure relates to a processing planning method, a processing planning system using the same, an assembly planning method, an assembly planning system using the same, and a computer program product thereof, and the disclosure is particularly related to a part processing planning method, using the same Parts processing planning system, a part assembly planning method, a part assembly planning system using it, and a computer program product thereof.

In the conventional method, after several first parts and several second parts are processed, the dimensions of these first parts and these second parts will be measured, and then the first parts that meet the specification tolerances will be selected. A part is assembled with a second part. However, such an assembly method can only be applied to parts that meet the specification tolerance, and parts that do not meet the specification tolerance can only be disposed of as scrap.

Therefore, obtaining a method that can improve the adaptation rate has become one of the goals of the practitioners in this technical field.

An embodiment of the present disclosure provides a part processing planning method, which is executed by a processor. The part processing planning method includes the following steps. Obtain a specification tolerance of a nominal dimension of a part; obtain individual preset tolerances of several processes; use process dimension chain establishment technology to obtain at least one preset tolerance related to the specification tolerance among these preset tolerances; accumulating at least one preset tolerance related to the specification tolerance to obtain a dimensional cumulative tolerance; judging whether the dimensional cumulative tolerance conforms to the specification tolerance; and, when the cumulative tolerance does not conform to the specification tolerance, reassigning at least one preset tolerance related to the specification tolerance , so that the dimension accumulation tolerance meets the specification tolerance.

Another embodiment of the present disclosure provides a part processing planning system. The part processing planning system includes a processing information obtainer, a processing information obtainer and a processing information planner. The processing information obtainer is used to: obtain a specification tolerance of a nominal dimension, and obtain individual default tolerances of several processes. The processing information planner is used to: use the process dimension chain establishment technology to obtain at least one preset tolerance related to the specification tolerance among the preset tolerances; accumulate at least one preset tolerance related to the specification tolerance to obtain a dimensional accumulation Tolerance; judging whether the dimensional accumulation tolerance conforms to the specification tolerance; and, when the accumulation tolerance does not conform to the specification tolerance, reassigning at least one preset tolerance related to the specification tolerance so that the dimensional accumulation tolerance conforms to the specification tolerance.

Another embodiment of the present disclosure provides a component assembly planning method, which is executed by a processor. The parts assembly planning method includes the following steps. Number of acquisitions A first measured dimension of a first part and a second measured dimension of a plurality of second parts, wherein each first part has the same first nominal size and a first specification tolerance, and each of the second parts has the same first nominal size and a first specification tolerance Two parts have the same second specification tolerance; reject second parts of the second measured dimension that do not meet the second specification tolerance and cannot fit any of these first measured dimensions; temporarily remove these first measured dimensions first parts of a measured size closest to the first nominal size; A fit analysis of the second measured dimensions.

Another embodiment of the disclosure provides a parts assembly planning system. The component assembly planning system includes a measurement dimension acquirer and an assembly planner. The measurement size obtainer is used to obtain a first actual measured size of several first parts and a second actual measured size of several second parts respectively, wherein each first part has the same first nominal size and a A first specification tolerance, and each second component has the same second specification tolerance. an assembly planner to: reject second parts of a second measured dimension that do not conform to a second specification tolerance and that do not fit any of the first measured dimensions; temporarily remove the closest of the first measured dimensions first parts of a first nominal size; and, taking the first measured dimensions and the second measured dimensions of the second parts not rejected and the first parts not temporarily removed One-fit analysis of .

Another embodiment of the disclosure provides a computer program product. The computer program product is used to be loaded into a part processing planning system to execute a part processing planning method. The part processing planning method includes: obtaining a specification tolerance of a nominal size of a part; obtaining individual preset tolerances of several processes; using the process dimension chain establishment technology to obtain the specification tolerances related to these preset tolerances At least one preset tolerance; cumulative and gauge At least one preset tolerance related to the standard tolerance to obtain a dimensional cumulative tolerance; determine whether the dimensional cumulative tolerance meets the standard tolerance; and, when the cumulative tolerance does not meet the standard tolerance, redistribute at least one preset tolerance related to the standard tolerance, so that Dimensional add-up tolerances meet specification tolerances.

Another embodiment of the disclosure provides a computer program product. The computer program product is used to be loaded into a part assembly planning system to execute a part assembly planning method. The part assembly planning method includes: obtaining a first measured dimension of several first parts and a second measured dimension of several second parts, wherein each first part has the same first nominal size and a first size tolerance, and each second part has the same second size tolerance; second zero of second measured dimensions that do not meet second size tolerance and cannot fit any of these first measured dimensions temporarily remove the first parts of the first measured dimensions that are closest to the first nominal size; A fit analysis of the first measured dimensions and the second measured dimensions.

In order to have a better understanding of the above and other aspects of the present disclosure, the following specific embodiments are described in detail in conjunction with the attached drawings as follows:

100: Parts processing planning system

110: input device

111: Setting interface

120: Process information acquirer

130: Processing information planner

200:Parts Assembly Planning System

210:Measuring instrument

220: Measuring size obtainer

230:Assemble the planner

T _{M 1 ,U} , T _{M 2 ,U} , T _{M 3 ,U} , T _{M 4 ,U} , T _{D 1 ,U} , T _{D 1 ', U} , T _{D 2 ,U} , T _{D 2' ,U} , T _{d, U} : upper deviation

T _{M 1 ,L} , T _{M 2 ,L} , T _{M 3 ,L} , T _{M 4 ,L} , T _{D 1 ,L} , T _{D 1 ', L} , T _{D 2 ,L} , T _{D 2 ',L} , T _{d, L} : lower deviation

D1: The first nominal size

D2: Second nominal size

d: reserved amount for processing

G1: Gap

L1, L2, Ld: Loop

M1: the first process

M2: Second process

M3: The third process

M4: The fourth process

M1a, M2a, M3a, M4a, D1a, D1b: points

M1b, M2b, M3b, M4b: Arrows

P1, P1_1, P1_2, P1_11, P1_19, P1_20: first part

P2, P2_1~P2_4, P2_18~P2_20: Second part

S105~S160, S205~S235, S305~S325: steps

SB: measuring datum

S1: the first processing surface

S2: Second processing surface

S3: The third processing surface

S4: The first processing surface

S1 _{, P1} : the first measurement size

S1 _{, P2} : Second measurement size

FIG. 1 is a functional block diagram of a part processing planning system according to an embodiment of the present disclosure.

FIG. 2 shows a schematic diagram of a setting interface according to an embodiment of the present disclosure.

FIG. 3 is a schematic diagram of a first part to be planned according to an embodiment of the present disclosure.

FIG. 4 shows a flow chart of the part processing planning method of the part processing planning system in FIG. 1 .

FIG. 5 is a functional block diagram of a component assembly planning system according to an embodiment of the present disclosure.

FIG. 6 shows a schematic diagram of the first part and the second part before assembly according to an embodiment of the present disclosure.

Fig. 7 shows the assembly drawing of the first part and the second part in Fig. 6.

FIG. 8A shows a distribution diagram of several first measured dimensions of several first parts in FIG. 6 .

FIG. 8B shows a distribution diagram of several second measured dimensions of several second parts in FIG. 6 .

Figures 9 and 10 illustrate the process diagram of the parts assembly planning method performed by the parts assembly planning system shown in Figure 5 .

Please refer to Figures 1-3. Figure 1 shows a functional block diagram of a part processing planning system 100 according to an embodiment of the present disclosure, and Figure 2 shows a schematic diagram of a setting interface 111 according to an embodiment of the present disclosure, and Figure 2 shows a schematic diagram of a setting interface 111 according to an embodiment of the present disclosure. FIG. 3 shows a schematic diagram of a first part P1 to be planned according to an embodiment of the present disclosure.

As shown in FIG. 1 , the part processing planning system 100 includes an input device 110 , a processing information obtainer 120 and a processing information planner 130 . The input device 110 is, for example, a display, a keyboard, a touch panel, a mouse or a combination thereof, or other A device that receives operator input information. The input unit 110 can provide a setting interface 111 for receiving input from an operator. When the input device 110 is a display, the setting interface 111 is a setting screen provided by the input device 110 . The processing information acquirer 120 and/or the processing information planner 130 is, for example, a circuit structure formed by a semiconductor process. The processing information acquirer 120 and the processing information planner 130 can be integrated into a single component, such as a processor, or at least one of the processing information acquirer 120 and the processing information planner 130 can be integrated into a processor.

Through the setting interface 111 , the operator can input a specification tolerance of a nominal dimension of the first part P1 and a preset tolerance of several processes M individually. The processing information obtainer 120 is used to: obtain the specification tolerance of the nominal size of the first part P1; and obtain individual default tolerances of each process. The processing information planner 130 is used to: use the process dimensional chain establishment technology to obtain at least one preset tolerance related to the specification tolerance among the preset tolerances; accumulate the at least one preset tolerance related to obtain a dimensional accumulation tolerance ; Judging whether the dimensional accumulation tolerance meets the specification tolerance; and, when the dimensional accumulation tolerance does not meet the specification tolerance, redistribute at least one related preset tolerance so that the dimensional accumulation tolerance meets the specification tolerance.

To sum up, before the actual production of the first part P1, the part processing planning system 100 can be executed by a processor, such as a computer; The preset tolerance of the nominal size of a part P1, so that the preset tolerance of the nominal size meets the specification tolerance of the design requirements (such as the picture), so that the yield rate of the actual finished part can be improved.

In this embodiment, as shown in Figure 3, the first part P1 is represented by two nominal sizes, such as the first nominal size D1 and the second nominal size D2, but the embodiment of the present disclosure does not limit the number of nominal sizes and Mark the location. In addition, the specification tolerance of each nominal dimension includes an upper deviation and a lower deviation, for example. For example, as shown in Figure 1, the specification tolerance of the first nominal dimension D1 includes the upper deviation T _{D 1 , U} and the lower deviation T _{D 1 , L} , while the specification tolerance of the second nominal dimension D2 includes the upper deviation T _{D 2 , U} and lower deviation T _{D 1 , L} . As shown in Figure 1, each preset tolerance includes upper deviation and lower deviation, for example, the preset tolerance of the first process M1 includes upper deviation T _{M 1 , U} and lower deviation T _{M 1 , L} , the second process The default tolerance of M2 includes upper deviation T _{M 2 , U} and lower deviation T _{M 2 , L} , the default tolerance of the third process M3 includes upper deviation T _{M 3 , U} and lower deviation T _{M 3 , L} , and the fourth The preset tolerance of the process M4 includes an upper deviation TM _{4 , U} and a lower deviation TM _{4 , L} .

In one embodiment, the upper deviation of the predetermined tolerance is, for example, a positive deviation, and the lower deviation of the predetermined tolerance is, for example, a negative deviation; or, both the upper deviation and the lower deviation of the predetermined tolerance are positive deviation or negative deviation. In addition, the absolute value of the upper deviation and the lower deviation of the preset tolerance can be equal, or they can be different.

The following is a further example in Figure 4. FIG. 4 shows a flow chart of the part processing planning method performed by the part processing planning system 100 in FIG. 1 .

In step S105 , the processing information acquirer 120 acquires the specification tolerance of the nominal size of the first part P1 . In this embodiment, the operator can first set the specification tolerance of the nominal size of the first part P1 through the setting interface 111 . For example, through the setting interface 111, input the specification tolerance of the first nominal dimension D1 in Fig. 3, such as the upper deviation T _{D 1 , U} and the lower deviation T _{D 1 , L} , and the specification tolerance of the second nominal dimension D2, such as the upper deviation T _{D 2 , U} and lower deviation T _{D 2 , L} . Then, the processing information obtainer 120 can obtain these setting parameters through the setting interface 111 .

As shown in Fig. 2, the operator can also set the processing method, machine number, measurement reference plane, processing surface, processing direction, processing reserve amount, and reservation through the setting interface 111 for each process of making the first part P1. Set tolerances, etc. The processing method is, for example, turning, milling, grinding or other various processing methods. The machine number is, for example, a machine tool that can perform the aforementioned machining method, wherein different machine numbers represent machine tools with different functions or machine tools with the same function but different machining accuracy. The measurement datum plane is the processing reference plane of the parts in each process. The processed surface is the surface of the part that is processed in each process. The machining direction may be the feed direction of the tool for machining the machining surface. The machining allowance is, for example, an allowance for finishing machining. The preset tolerance indicates the processing accuracy that the process can achieve within the processing capacity range, which is related to the processing method, machine tool and/or processing path length, etc.

In another embodiment, the processing information obtainer 120 can also obtain the setting parameters required to complete the part processing planning method of the disclosed embodiment from the Internet or a cloud-based big data database, as required by the aforementioned setting interface 111 set value. In other embodiments, the processing information obtainer 120 can obtain the parameters required to complete the part processing planning method of the disclosed embodiment from the Internet or a cloud-based big data database, and automatically display them in the setting interface 111 . In this example, an operator can manually adjust these automatic settings.

In step S110 , after the setting is completed through the setting interface 111 , the processing information acquirer 120 obtains individual preset tolerances of several processes through the setting interface 111 . As shown in Figure 3, the manufacture of the first part P1 of the embodiment of the present disclosure is based on four The process is described as an example, such as the first process M1 , the second process M2 , the third process M3 and the fourth process M4 , but the embodiment of the present disclosure does not limit the number of processes. Depending on requirements/processing planning, the number of operations can be two, three, five or more.

As shown in Figure 3, taking the first process M1 as a reference, it processes the first processing surface S1 based on the measurement reference plane SB, where the point M1a represents the measurement reference plane SB, and the arrow M1b represents the first processing surface S1. Taking the second process M2 as an example, it processes the second processing surface S2 based on the first processing surface S1, wherein the point M2a represents the first processing surface S1, and the arrow M2b represents the second processing surface S2. Taking the third process M3 as an example, it processes the third processing surface S3 based on the measurement reference plane SB, wherein the point M3a represents the measurement reference plane SB, and the arrow M3b represents the third processing surface S3. Taking the fourth process M4 as an example, it processes the fourth processing surface S4 based on the measurement reference plane SB, wherein the point M4a represents the measurement reference plane SB, and the arrow M4b represents the fourth processing surface S4. Wherein, the size of the third processing surface S3 to the fourth processing surface S4 is the processing reserve d. According to the part processing plan, the first process M1 to the fourth process M4 are executed sequentially to complete the first processing surface S1, the second processing surface S2, the third processing surface S3 and the fourth processing surface S4, among which the processing is completed After the third processing surface S3, the first part P1 retains the machining allowance d, and then cuts off the machining allowance d in the fourth process M4 to process the fourth machining surface S4.

In step S115, at least one preset tolerance related to the specification tolerance is obtained among the preset tolerances by using the process dimension chain establishment technology. In this embodiment, as shown in FIG. 3 , the processing information planner 130 can use the loop method to establish a dimension chain loop of the first nominal dimension D1 and the second nominal dimension D2, and then obtain predictions related to specification tolerances according to the loop. Set tolerances.

Take the first loop L1 of the first nominal dimension D1 as an example, as shown in Figure 3, go up/forward from the two endpoints D1a and D1b of the first nominal dimension D1, and turn when encountering an arrow during the process. Keep going straight when encountering a circle, and finally meet at point M1a to form the first loop L1. The first process M1 and the second process M2 passed by the first loop L1 are defined as the setting process related to the first nominal dimension D1, that is, the specification tolerance of the first nominal dimension D1 ( T _{D 1 ,U} / T _{D 1 ,L} ) is related to the preset tolerance ( TM _{1 , U} / T _{M 1 , L} ) of the first process M1 and the preset tolerance ( TM _{2 , U} / T _{M 2 , L} ) of the second process M2. In other words, the value of the default tolerance ( TM _{1 , U} / T _{M 1 , L} ) of the first process M1 and the preset tolerance ( TM _{2 , U} / T _{M 2 , L} ) of the second process M2 can determine the The planned tolerance of a nominal dimension D1 meets or does not meet the specification tolerance.

Take the second loop L2 of the second nominal size D2 as an example, as shown in Figure 3, go up/forward from the two endpoints D2a and D2b of the second nominal size D2, and turn when encountering an arrow during the process. Keep going straight when encountering a dot, and finally meet at the arrow M4b to form the second loop L2. The fourth process M4 passed by the second loop L2 is defined as the setting process related to the second nominal dimension D2, that is, the specification tolerance ( T _{D 2 , U} / T _{D 2 , L} ) of the second nominal dimension D2 is related to the fourth process The preset tolerance of M4 ( TM _{4 , U} / TM _{4 , L} ) is relevant. In other words, the value of the preset tolerance ( TM _{4 , U} / TM _{4 , L} ) of the fourth process M4 can determine whether the planned tolerance of the second nominal dimension D2 meets or does not meet the specification tolerance.

In step S120 , the processing information planner 130 accumulates preset tolerances related to specification tolerances of nominal dimensions to obtain a dimensional accumulation tolerance.

Taking the first nominal dimension D1 as an example, the specification tolerance ( T _{D 1 , U} / T _{D 1 , L} ) of the first nominal dimension D1 is related to the preset tolerance of the first process M1 ( T _{M 1 , U} / T _{M 1 ,L} ) and the default tolerance of the second process M2 ( TM _{2 ,U} / T _{M 2 ,L} ), so the processing information planner 130 accumulates the relevant default tolerance of the first process M1 ( TM _{1 , U} / T _{M 1 , L} ) and the preset tolerance of the second process M2 ( TM _{2 , U} / T _{M 2 , L} ), to obtain the cumulative tolerance of the first dimension. After accumulation, the deviation T _{D 1 ′, U} above the accumulative tolerance of the first dimension is equal to the sum of the deviation T M _{1 , U} above the first process M1 and the deviation T M _{2 , U} above the second process M2 (that is, T _{D 1 ', U} = T _{M 1 , U} + T _{M 2 , U} ), and the deviation T _{D 1 ', L} equal to the deviation T _{M 1 under the first process M1 , L} and the second process The sum of deviations T _{M 2 ,L} below M2 (ie, T _{D 1 ′,L} = T _{M 1 ,L} + T _{M 2 ,L} ).

Taking the second nominal dimension D2 as an example, the specification tolerance ( T _{D 2 , U} / T _{D 2 , L} ) of the second nominal dimension D2 is only the preset tolerance of the fourth process M4 ( T _{M 4 , U} / T _{M 4 , L} ), therefore, the processing information planner 130 uses the default tolerance ( T _{M 4 , U} / T _{M 4 , L} ) of the fourth process M4 as the second dimension accumulation tolerance. That is, the deviation T _{D 2 ′, U} above the cumulative tolerance of the second dimension is equal to the deviation T _{M 4 , U} above the fourth process M4 (that is, T _{D 2 ′, U} = T _{M 4 , U} ), and the second The deviation T _{D 2 ′,L} under the accumulated size tolerance is equal to the deviation T _{M 4 ,L} under the fourth process M4 (ie, T _{D 2 ′,L} = T _{M 4 ,L} ).

In step S125 , the processing information planner 130 determines whether the dimensional accumulation tolerance meets the specification tolerance, that is, determines whether the dimensional accumulation tolerance falls within the range of the specification tolerance.

Taking the cumulative tolerance of the first dimension as an example, the processing information planner 130 judges whether the deviation T _{D 1 ′, U} above the cumulative tolerance of the first dimension complies with the deviation T _{D 1 , U} above the specification tolerance of the first nominal dimension D1, and It is judged whether the deviation T _{D 1 ′, L} below the accumulative tolerance of the first dimension meets the deviation T _{D 1 , L} below the specification tolerance of the first nominal dimension D1.

Taking the cumulative tolerance of the second dimension as an example, the processing information planner 130 judges whether the deviation T _{D 2 ′, U} above the cumulative tolerance of the second dimension conforms to the deviation T _{D 2 , U} above the specification tolerance of the second nominal dimension D2, and It is judged whether the deviation T _{D 2 ′, L} below the accumulative tolerance of the second dimension meets the deviation T _{D 2 , L} below the specification tolerance of the second nominal dimension D2.

If the accumulated size tolerance meets the specification tolerance, the process goes to step S135; if not, the process goes to step S130.

In step S130 , since the dimensional accumulation tolerance does not meet the specification tolerance, the processing information planner 130 reassigns the relevant default tolerance so that the dimensional accumulation tolerance meets the specification tolerance.

Taking the cumulative tolerance of the first dimension as an example, if the deviation above the cumulative tolerance of the first dimension T _{D 1 ′, U} conforms to the deviation T _{D 1 above the specification tolerance of the first nominal dimension D1 , U} is outside or within the cumulative tolerance of the first dimension The lower deviation T _{D 1 ′, L} conforms to the specification tolerance of the first nominal dimension D1. The lower deviation T _{D 1 , L} , indicates the preset tolerance of the first process M1 and the second process M2 related to the first nominal dimension D1. The preset tolerance may cause the first nominal dimension D1 of the first part P1 to be unqualified (ie, the tolerance of the first nominal dimension D1 of the manufactured part exceeds the specification tolerance range). Therefore, the processing information planner 130 redistributes the default tolerances of the first process M1 and the second process M2 so that the cumulative tolerance of the first dimension conforms to the standard tolerance of the first nominal dimension D1.

The _{processing information} planner _{130 can} redistribute the default tolerance ( T M _{1 , U} / T _{M 1 , L} ) and the default tolerance of the second process M2 ( TM _{2 , U} / T _{M 2 , L} ).

In one of the distribution methods, the processing information planner 130 can evenly distribute the specification tolerance ( T _{D 1 , U} / T _{D 1 , L} ) of the first nominal dimension D1 to the default tolerance ( T _{M 1 , U} / T _{M 1 , L} ) and the default tolerance of the second process M2 ( TM _{2 , U} / T _{M 2 , L} ).

For example, the processing information planner 130 sets half of the deviation T _{D 1 , U} above the first nominal dimension D1 (ie, T _{D 1 , U} /2) to the deviation T _{M 1} above the preset tolerance of the first process M1 _{, U} (that is, make T _{M 1 , U} = T _{D 1 , U} /2), and also deviate from the first nominal dimension D1 above T _{D 1 , half of U} (that is, T _{D 1 , U} /2 ) is set to the deviation T _{M 2 ,U} above the default tolerance of the second process M2 (that is, make T _{M 2 ,U} = T _{D 1 ,U} /2), and the processing information planner 130 converts the first nominal dimension D1 The lower deviation T _{D 1 , half of L} (that is, T _{D 1 , L} /2) is set to the lower deviation T _{M 1 , L} of the preset tolerance of the first process M1 (that is, T _{M 1 , L} = T _{D 1 , L} /2), and also set half of the deviation T D _{1 , L under the first nominal dimension D1 to the deviation T M 2} , _{L under} the preset tolerance of the second process M2 (that is, make T _{M 2 , L} = T _{D 1 , L} /2).

In another allocation method, the processing information planner 130 can be based on the processing length of the first process M1 (ie the length from the point M1a to the arrow M1b shown in Figure 3) and the processing length of the second process M2 (ie A ratio of the length from the point M2a to the arrow M2b shown), the specification tolerance ( T _{D 1 , U} / T _{D 1 , L} ) of the first nominal dimension D1 is distributed proportionally to the preset tolerance of the first process M1 ( T _{M 1 , U} / T _{M 1 , L} ) and the default tolerance of the second process M2 ( TM _{2 , U} / T _{M 2 , L} ). Assuming that the ratio of the processing length of the first process M1 to the processing length of the second process M2 is 3:2 (the embodiment of the present disclosure is not limited thereto), for example, the processing information planner 130 can use the first nominal dimension D1 Three-fifths of the upper deviation T _{D 1 , U} (i.e., T _{D 1 , U} × 3/5) is set to the upper deviation T _{M 1 , U} of the preset tolerance of the first process M1 (i.e., make T _{M 1 , U} = T _{D 1 , U} × 3/5), and the deviation T _{D 1 above the first nominal dimension D1 , two-fifths of U} (ie, T _{D 1 , U} × 2/5) is set to The deviation T _{M 2 , U} above the default tolerance of the second process M2 (that is, make T _{M 2 , U} = T _{D 1 , U} × 2/5), and the processing information planner 130 converts the first nominal dimension D1 The lower deviation T _{D 1 , three-fifths of L} (ie, T _{D 1 , L} × 3/5) is set to the lower deviation T _{M 1 , L} of the preset tolerance of the first process M1 (ie, make T _{M 1 ,L} = T _{D 1 ,L} ×3/5), and the deviation T _{D 1 under the first nominal dimension D1 , two-fifths of L} (ie, T _{D 1 ,L} ×2/5) is set to The deviation T _{M 2 ,L} under the preset tolerance of the second process M2 (that is, T _{M 2 ,L} = T _{D 1 ,L} ×2/5).

In addition, the processing information planner 130 may adopt a similar or identical adjustment method to redistribute the relevant default tolerances, so that the second dimensional accumulation tolerance meets the specification tolerance, even if the second dimensional accumulation tolerance falls within the range of the specification tolerance.

In another embodiment, the preset tolerance of a process may be related to the cumulative tolerance of multiple dimensions. In this case, changing the default tolerance of the process will cause the multiple dimension accumulation tolerances to be interlocked, which may cause the dimension accumulation tolerances that originally meet the specification tolerances to become non-compliant with the specification tolerances (that is, the dimension accumulation tolerances fall within the range of specification tolerances outside). For this, the processing information planner 130 can list several linear simultaneous equations of several cumulative tolerances and several standard tolerances. By using the linear algebra method in mathematics, the preset tolerance that meets the specification tolerance can be solved.

In step S135 , the processing information obtainer 120 obtains individual processing reservation amounts of several processes through the setting interface 111 . In this embodiment, as shown in FIG. 3 , only the third process M3 is set with a processing reserve d, but this is not intended to limit the embodiment of the present disclosure. Depending on the manufacturing process, at least one of the several processes can be set with the same or different processing allowances.

In step S140, the processing information planner 130 uses the process dimensional chain establishment technology to establish the dimensional chain loop of the machining allowance d shown in FIG. At least one preset tolerance related to the processing allowance d.

For example, as shown in Fig. 3, it travels rightward from the right end point of the processing reserve d and goes up/forward from the left end point of the processing reserve d, and finally intersects at the circle point M4a to form a predetermined Reserve loop Ld. The third process M3 and the fourth process M4 passed by the reserve amount circuit Ld are defined as the set processes related to the processing reserve d, that is, the preset tolerance between the processing reserve d and the third process M3 ( T _{M 3 , U} / T _{M 3 , L} ) and the preset tolerance of the fourth process M4 ( TM _{4 , U} / T _{M 4 , L} ) are related. In other words, the value of the preset tolerance ( TM _{3 , U} / T _{M 3 , L} ) of the third process M3 and the preset tolerance ( TM _{4 , U} / T _{M 4 , L} ) of the fourth process M4 can determine or Judging whether the processing reserve d is sufficient (if insufficient, the planned tolerance does not meet the specification tolerance, that is, the planned tolerance falls outside the range of the specification tolerance).

In step S145 , the processing information planner 130 accumulates the preset tolerance related to the processing reserve d, so as to obtain a reserve accumulation tolerance.

In this embodiment, what is related to the processing reserve d is the preset tolerance ( TM _{3 , U} / T _{M 3 , L} ) of the third process M3 and the preset tolerance ( TM _{4 ,} L ) of the fourth process M4 _U / T _{M 4 , L} ), so the processing information planner 130 accumulates the default tolerance ( T _{M 3 , U} / T _{M 3 , L} ) of the relevant third process M3 and the default tolerance of the fourth process M4 ( T _{M 4 ,U} / T _{M 4 ,L} ), to obtain the accumulative tolerance of reserved amount. After the accumulation, the deviation T _{d, U} above the cumulative tolerance of the reserved amount is equal to the sum of the deviation T M 3 , U above the third process M3 and the deviation T M 4 _{, U} above the fourth process _{M4 (} that is, T _{d, U} = T _{M 3 , U} + T _{M 4 , U} ), and the deviation T _{d, L} below the accumulative tolerance of the reserved amount is equal to the deviation T M _{3 under the third process M3 , L} and the deviation T M4 below the fourth process _{M4 , the sum of L} (ie, T _d,L =T _{M3 , L} +T _{M4 , L} ).

In step S150 , the processing information planner 130 determines whether the processing reserve d is greater than the reserve accumulation tolerance. If yes, the process goes to step S160; if not, the process goes to step S155.

In step S160 , when the processing reserve d of the first part P1 is greater than the accumulated tolerance of the reserve, the processing information planner 130 may perform cost analysis on the first part P1 . Before step S160 (for example, in step S127), the processing information planner 130 can first use the dimension chain establishment technology to obtain the processes related to the specifications and dimensions, calculate the dimensions of each process, and perform cost analysis based on the dimensions of each process. In detail, the cost of the first part P1 varies with the number of processes, the processing method of each process, the preset tolerance, the machine number and so on. The processing information planner 130 can propose a modification suggestion for the processing method, preset tolerance and/or machine number under the condition that the reserved amount of processing is greater than the cumulative tolerance of the reserved amount.

In step S155, readjust and adjust the processing reserve d, so that the processing reserve d is greater than the reserve accumulation tolerance. In this way, the machining reserve d is sufficient to allow the planned tolerance (such as the tolerance of the fourth machining surface S4 ) to meet the specification tolerance.

In one of the methods of adjusting the processing reserve d, regardless of whether the upper deviation T _{d, U} and the lower deviation T _{d, L} of the accumulated tolerance of the reserve are positive or negative, the value of the processing reserve d is set equal to Or greater than the maximum of the absolute value of the upper deviation T _{d, U} and the absolute value of the lower deviation T _{d, L.} For example, if the upper deviation T _{d, L} and the lower deviation T _{d, U} of the accumulative tolerance of the reserved amount are +0.2 and -0.2 respectively, then the processing information planner 130 sets the value of the reserved amount d to be equal to or The absolute value greater than -0.2 is set to 0.2. If the upper deviation T _{d, U} and the lower deviation T _{d, L} of the cumulative tolerance of the reserve amount are -0.2 and -0.5 respectively, then the processing information planner 130 sets the value of the processing reserve d to be equal to or greater than -0.5 The absolute value is set to 0.5. In addition, when neither the upper deviation nor the lower deviation of the reserved amount accumulative tolerance is negative, if both are positive deviations, then the processing information planner 130 sets the value of the processing reserved amount d to a value greater than 0. For example, if the upper deviation and the lower deviation of the cumulative tolerance of the reserved amount are +0.5 and +0.2 respectively, then the processing information planner 130 can set the value of the reserved amount d to be greater than 0.5, such as 0.6, 0.7 or greater value.

In step S160 , when the accumulated tolerances of the nominal dimensions of the first part P1 all meet the specification tolerance, the processing information planner 130 can perform cost analysis on the first part P1 . Before step S160 (for example, in step S152 ), the processing information planner 130 can use the dimensional chain establishment technology to obtain the processes related to the specifications and dimensions, calculate the dimensions of each process, and perform cost analysis based on the dimensions of each process. In detail, the cost of the first part P1 varies with the number of processes, the processing method of each process, the preset tolerance, the machine number and so on. The processing information planner 130 can propose a cost-minimizing processing method, preset tolerances and/or machine number changes on the premise that the accumulated tolerances of the nominal dimensions of the first part P1 meet the specification tolerances. In one embodiment, under the premise that the cumulative size tolerance meets the specification tolerance (the result of step S125 is "Yes") and the processing reserve d is greater than the cumulative tolerance of the reserved amount (the result of step S150 is "Yes"), the cost However, the cost analysis can also be carried out on the premise that one of the two is established.

Although the first part P1 in the foregoing embodiment is described as an example with two nominal sizes, in other embodiments, the first part P1 may have one or more than two nominal sizes, such as three, four, etc. any amount. In addition, the embodiment of the present disclosure The structure of the first part P1 is not limited by FIG. 3 . Depending on the design, the first part P1 may have a structure different from that in FIG. 3 . In addition, in another embodiment, for the first part P1 with the same structure as shown in Figure 3, the number of processes, the processing direction of each process, the processing length of each process and/or the reserved amount for processing, etc. can be different according to requirements. Planning is not limited by the foregoing embodiments. In another embodiment, if there is no need, the processing reserve may also be omitted.

To sum up, the part processing planning method of the disclosed embodiment uses a processor (for example, a computer) to perform calculations and execute. In the calculation, the part processing planning system 100 first establishes the process dimension line loop, finds out the preset tolerance related to the nominal size in the loop of the nominal size, and judges the cumulative tolerance after accumulating the preset tolerance related to the nominal size. Whether the difference is within the specification tolerance. During calculation, the preset tolerances of each process can be adjusted so that each accumulated tolerance complies with all specification tolerances. This calculation process must process a large amount of data, which is impossible to complete manually, so it must be performed by a processor (such as a computer) to perform calculations.

Please refer to Figures 5 to 8. Figure 5 shows a functional block diagram of the parts assembly planning system 200 according to an embodiment of the present disclosure, and Figure 6 shows the first part P1 and the second part according to an embodiment of the present disclosure. The schematic diagram of part P2 before assembly, Figure 7 shows the assembly drawing of the first part P1 and the second part P2 in Figure 6, and Figure 8A shows the number of the first parts P1 in Figure 6 A distribution diagram of a first measurement dimension S1 _{, P1} , and FIG. 8B shows a distribution diagram of a plurality of second measurement dimensions S1 _{, P2} of a plurality of second parts P2 in FIG. 6.

In the parts assembly planning method of this embodiment, several first parts P1 and several second parts P2 of the finished product are used as planning objects, not only in the specifications Fit the first part P1 and the second part P2 within the tolerance range, and also fit some or even all of the first part P1 and the second part P2 outside the specification tolerance range, increasing the overall fit Rate.

The component assembly planning system 200 includes a measuring instrument 210 , a measurement dimension obtainer 220 and an assembly planner 230 . The measuring instrument 210 is used for measuring the dimensional values of the first part P1 and the second part P2. The measuring instrument 210 is, for example, various instruments capable of measuring the dimensional value of the first part P1, such as a vernier caliper, a minute card, a three-dimensional measuring instrument, or other contact or non-contact measuring instruments. The measurement dimension obtainer 220 and/or the assembly planner 230 is, for example, a circuit structure (circuit) formed by a semiconductor process. The measurement dimension obtainer 220 and the assembly planner 230 can be integrated into a single component, such as a processor, or at least one of the measurement dimension obtainer 220 and the assembly planner 230 can be integrated into a processor.

The following is a process diagram illustrating the parts assembly planning method performed by the parts assembly planning system 200 in FIG. 5 with FIGS. 9 and 10 .

Firstly, the measuring instrument 210 actually measures the individual first measurement dimensions S1 _{, P1} of the plurality of first parts P1 and the individual second measurement dimensions S1 _{, P2 of the plurality of second parts P2} . The first measurement dimensions S1 _{, P1} and the second measurement dimensions S1 _{, P2} are dimensions that are combined with each other. The vertical axis of Fig. 8A represents the numbers of several first parts P1, such as P1_1~P1_20, which are numbered sequentially from bottom to top, while the horizontal axis represents the first measurement dimensions S1 _{and P1} of the first parts, which are represented by Arranged along the positive axis of the horizontal axis in order from small to large. The vertical axis of Figure 8B represents the numbering of several second parts P2, such as P2_1~P2_20, which are numbered sequentially from bottom to top, while the horizontal axis represents the second measurement dimensions S1 _{and P2} of the second part P2, which Arrange along the positive axis of the horizontal axis in ascending order. As shown in Figures 8A and 8B, the number of the first part P1 and the number of the second parts P2 in the embodiment of the present disclosure are each 20 as an example (the number of points in Figures 8A and 8B is 20 each), However, the embodiment of the present disclosure does not limit the number of the first parts P1 and the number of the second parts P2, which may be less than or more than 20.

As shown in Figures 8A and 8B, each first part P1 has the same first nominal size and first specification tolerance, and each second part P2 has the same second nominal size and second specification tolerance. The distribution of several first measurement dimensions S1 _{, P1} is shown in FIG. 8A, and the distribution of several second measurement dimensions S1 _{, P2} is shown in FIG. 8B. A point in the diagram represents a part. As shown in Figure 8A, the number of the first part P1 is 20 as an example, and the first measurement dimensions S1 _{and P1} of the first parts P1_1, P1_2, P1_19 and P1_20 (such as 4) do not conform to the first Specification tolerance, the first measurement dimensions S1 _{and P1} of the remaining first parts P1 (such as 16 pieces) conform to the first specification tolerance. As shown in Figure 8B, the number of second parts P2 is 20 as an example, and the second measurement dimensions S1 and _P2 of the second parts P2_1~P2_4 and P2_18~P2_20 (such as 7 pieces) do not meet the second Specification tolerance, the second measurement dimensions S1 _{and P2} of the remaining second parts P2 (such as 13 pieces) conform to the second specification tolerance. A plurality of first parts P1 conforming to the tolerance of the first specification and a plurality of second parts P2 conforming to the tolerance of the second specification can be adapted, that is, the first parts P1 of each first specification tolerance can be matched with the second part P1 conforming to the tolerance of the second specification. Any second part P2 fits within specification tolerances.

As shown in Figures 6 and 7, after the first part P1 is assembled with the first measurement dimensions S1 _{, P1} and the second measurement dimensions S1 _{and P2} of the second part P2, the first measurement dimensions S1 _{, P1} and There is a set of matching values between the second measurement dimensions S1 _{and P2} , and the matching values must meet an assembly specification, which means that the first part P1 and the second part P2 are compatible. If the combination value is not the assembly specification, it means that the first part P1 and the second part P2 are not compatible. In this embodiment, the configuration value is described by taking the gap G1 as an example. In other embodiments, the combination value may be an interference amount or a loose fit amount between the outer diameter of the shaft and the inner diameter of the bore shaft. When the combination value is the shaft outer diameter size and the hole shaft inner diameter size, if the combination value does not meet the assembly specification, it may mean that the shaft cannot be inserted into the hole, or the shaft and hole are assembled too loose or too tight.

In step S205 , the measured dimension acquirer 220 acquires the dimension value measured by the measuring instrument 210 . For example, the measuring instrument 210 can automatically transmit the measured dimension value to the measuring dimension acquirer 220; or, a manual input method can be used to input the dimension measured by the measuring instrument 210 into a setting interface (not shown). display), and then the measured dimension acquirer 220 acquires the dimension value measured by the measuring instrument 210 through the setting interface.

In step S210, the assembly planner 230 rejects the second part P2 of the second measurement dimension S1 _{, P2} that does not conform to the second specification tolerance and cannot fit any of the first measurement dimensions S1 _{, P1} .

In this embodiment, the assembly planner 230, for example, adopts a sorting method to arrange the several first measurement dimensions S1 _{, P1} in order from small to large (the distribution of the several first measurement dimensions S1 _{, P1} is as shown in Section 8A As shown in the figure), and arrange several second measurement dimensions S1 _{, P2} in order from small to large (the distribution of several second measurement dimensions S1 _{, P2} is shown in Figure 8B). Then, the difference between the first measured dimension S1 _{, P1} and the first nominal dimension (such as the first part P1_20 in Fig. 8A) is used as a benchmark to determine the difference between each of all the second parts P2 and the first nominal size. Whether a part P1_20 is adaptable. If the result is that the second parts P2_1 - P2_3 in FIG. 8B that do not meet the tolerance of the second specification cannot fit the first part P1_20 , then the assembly planner 230 rejects the second parts P2_1 - P2_3 . In other words, under the premise of obtaining the maximum assembly value (for example, obtaining the maximum gap G1 in FIG. 7 ), the assembly planner 230 tries to find out that all the second parts P2 cannot be matched with any one of the first parts P1 The second part P2. If there is, the assembly planner 230 rejects this or these second parts P2 that cannot be adapted (meaningless for assembly). In another embodiment, the assembly planner 230 can calculate several first measured dimensions S1 _{, P1} to obtain a first standard deviation, and calculate several second measured dimensions S1 _{, P2} to obtain a second standard deviation . Then, in the region outside +/-3σ (standard deviation), search for the second part that cannot fit the first part at all.

In addition, although the above embodiment uses the first part as the reference to search for the second part that cannot match the first part at all, this is not intended to limit the embodiments of the present disclosure. In another embodiment, the second part can also be used as a reference to search for the first part that cannot match the second part at all.

In step S215, the assembly planner 230 temporarily removes at least one first part P1 that is closest to the first nominal size among the first measured dimensions _{S1, P1} . In this embodiment, as shown in FIG. 8A , the first part P1_11 is the first part P1 closest to the first nominal size among the first parts P1 . The embodiment of the present disclosure retains the first part P1 with the optimal size (that is, the closest to the first nominal size), which can increase the assembly fit rate of the remaining first parts P1 with poorer sizes and these second parts P2 . In another embodiment, the assembly planner 230 may temporarily remove the first several first parts P1 closest to the first nominal size among the first measured dimensions S1 _{, P1} , such as two, three or more many.

In step S220, the assembly planner 230 performs the first measurement dimensions S1 _{, P1} and the second measurements on the second parts P2 that are not rejected and the first parts P1 that are not temporarily removed. One-fit analysis of measuring dimensions S1 _{and P2} . In this embodiment, as shown in FIG. 8A, the assembly planner 230 includes several second parts P2 other than the second parts P2_1~P2_3 (that is, the second parts P2 that are not rejected, including those that meet the second specification. Tolerance of the second part P2 and second parts that do not meet the tolerances of the second specification, such as P2_4 and P2_18~P2_20) and several first parts P1 other than the first part P1_11 (that is, the first part that has not been temporarily removed A part P1, including the first part P1 conforming to the tolerance of the first specification and the first part not meeting the tolerance of the first specification, such as P1_1, P1_2, P1_19, P1_20) for the first measurement of dimension S1 _{, P1} and the first dimension 2. Adaptive analysis of measurement dimensions S1 _{and P2} .

In step S225 , the assembly planner 230 judges whether the unrejected second parts P2 and the untemporarily removed first parts P1 are fully compatible according to the matching analysis result. In this embodiment, the number of the second parts P2 that are not rejected is 17, and the number of the first parts P1 that are not temporarily removed is 19. After the fit analysis, if 17 fit combinations (take the smallest number) whose assembly parameter values all meet the assembly specification can be obtained, it means that the fit is complete, and the process ends. If not fully adapted, the process goes to step S230.

In step S230 , the assembly planner 230 determines whether all the temporarily removed first parts P1 have participated in the fitting analysis. In this embodiment, the temporarily removed first part P1_11 has not yet participated in the matching analysis, so the process goes to step S235. If all the temporarily removed first parts P1 have participated in the fitting analysis, the process ends.

In step S235 , the assembly planner 230 replaces the replaced ones of the first parts P1 that are not temporarily removed with the temporarily removed first parts P1_11 . In one embodiment, the replaced one is the one with the largest difference from the first nominal dimension among the first parts P1 that do not comply with the first specification tolerance. For example, as shown in FIG. 8A, the first part P1_20 is among the first parts P1 that have not been rejected, the first measured dimensions S1 _{, P1} do not meet the first specification tolerance and are different from the first nominal size The largest (the greater the difference, the worse the tolerance). Therefore, the assembly planner 230 replaces the second part P2_20 with the temporarily removed first part P1_11. Then, the flow returns to step S220, and the adaptation analysis is performed again. If the number of temporarily removed first parts P1 is greater than one, the assembly planner 230 repeats steps 220 - S230 until all temporarily removed first parts P1 have participated in the fitting analysis.

FIG. 10 is used below to illustrate one embodiment of the fitting analysis (such as step S220 in FIG. 9 ) according to the embodiment of the present disclosure, but the fitting analysis of the embodiment of the present disclosure is not limited by the process shown in FIG. 10 .

In step S305, the assembly planner 230 performs the first measurement dimensions S1 _{, P1} and the second measurements on the unrejected second parts P2 and the untemporarily removed first parts P1 The matching analysis of the dimensions S1 _{and P2} is performed to obtain several first matching combinations, wherein each first matching combination includes a first part P1 and a second part P2 that are matched to each other. Each first matching combination is completely different, that is, the first part P1 of each first matching combination is not repeatedly assembled, and the second part P2 of each first matching combination is not repeatedly assembled. As mentioned above, the number of the first matching combinations in this embodiment is, for example, 17 for illustration.

In step S310 , the assembly planner 230 obtains a first combination integrated value of the first matching combination. In this embodiment, the assembly planner 230 obtains a set of matching values of each first matching combination, and calculates several matching values (as mentioned above, 17 ), and use this average as the first group to match the comprehensive value. Alternatively, the assembly planner 230 takes out the maximum, minimum or other reference value of several assembly values, and uses the maximum, minimum or other reference value as the first assembly comprehensive value.

In step S315, the assembly planner 230 conducts the first measurement dimension S1 _{, P1} and the second measurement dimension S1 of the second parts P2 that are not rejected and the first parts P1 that are not temporarily removed _. The matching analysis of _P2 , and several second matching combinations are obtained, wherein each second matching combination includes the first part P1 and the second part P2 that are matched with each other, and each second matching combination is completely different, and The second matching combinations are not exactly the same as the first matching combinations.

In step S320 , the assembly planner 230 obtains a second assembly comprehensive value of the second matching combination. As mentioned above, the number of the first matching combinations in this embodiment is, for example, 17 for illustration. Each second matching combination is composed of a first part P1 and a second part P2. In this embodiment, the assembly planner 230 obtains a group of matching values of each second matching combination, and calculates an average value of several grouping values (such as the aforementioned 17), and uses the average value as The second group matches the composite value. Alternatively, the assembly planner 230 takes out the maximum, minimum or other reference value of several assembly values, and uses the maximum, minimum or other reference value as the second assembly comprehensive value.

In step S325, the assembly planner 230 uses the first matching combination or the second matching combination corresponding to the best of the first combination comprehensive value and the second combination comprehensive value as an optimal Fit selection. Both the integrated value of the first assembly and the integrated value of the second assembly are within the assembly specifications. The above-mentioned optimal one is, for example, an assembly comprehensive value that is closest to an optimum (or best) of the assembly specifications among the first assembly comprehensive value and the second assembly comprehensive value that meet the assembly specification, and the most suitable one is, for example, is the middle value of the range of assembly specifications.

Then, in an actual assembly process, the assembler can assemble the first parts P1 and the second parts P2 according to the aforementioned best fit selection.

In addition, although the assembly planner 230 is illustrated by obtaining two assembly integrated values (two iterations), in other embodiments, the assembly planner 230 can obtain more assembly integrated values (more iterations) ), and then select the best matching combination from the matching combinations corresponding to the best combination value. Or, if the first part P1 and the second part P2 can be fully adapted in the first iteration, then the assembly planner 230 can make several matching combinations corresponding to the integrated assembly value obtained for the first time. for a best fit option.

Although the part assembly planning method in the previous embodiments is described by taking the matching analysis of two parts as an example, in another embodiment, the matching analysis of three or more parts can also be performed at the same time. Although the assembly dimensions of the two parts of the first number of embodiments are described as an example (such as the combination of the first measurement dimensions S1 _{, P1} and the second measurement dimensions S1 _{, P2} ), in another embodiment Among them, the two parts can also carry out the matching analysis of multiple sets of assembly dimensions at the same time. The embodiments of the present disclosure do not limit the number of matching parts and/or the number of sets of assembly sizes of any two parts.

To sum up, in the parts assembly planning method of this embodiment, several first parts and several second parts of the finished product are used as planning objects, and not only the first parts and the second parts within the specification tolerance range The matching of the two parts also allows the first part outside the tolerance range of the specification to be partly or even completely matched with the second part, so as to increase the overall matching rate. In addition, after the dimensions are measured, the assembly planning steps in Figures 9 and 10 are all completed by a processor (for example, a computer). This operation process must deal with a large amount of data, in order to It is impossible to do it artificially, so it must be executed by a processor (such as a computer).

To sum up, although the present disclosure has been disclosed above with embodiments, it is not intended to limit the present disclosure. Those with ordinary knowledge in the technical field to which this disclosure belongs may make various changes and modifications without departing from the spirit and scope of this disclosure. Therefore, the scope of protection of this disclosure should be defined by the scope of the appended patent application.

S105~S160: steps

Claims (18)

A part processing planning method, which is executed by a processor. The part processing planning method includes: obtaining a specification tolerance of a nominal size of a part; obtaining individual preset tolerances of a plurality of processes; using the process dimension chain establishment technology , among the preset tolerances, adopt the loop method to obtain at least one preset tolerance related to the specification tolerance; accumulate the at least one preset tolerance related to the specification tolerance to obtain a size accumulation tolerance; judge the whether the cumulative tolerance of size conforms to the specification tolerance; and when the cumulative tolerance does not conform to the specification tolerance, redistribute at least one of the preset tolerances related to the specification tolerance so that the cumulative tolerance of size conforms to the specification tolerance. The part processing planning method as described in claim 1 further includes: obtaining a processing reserve; and using the process dimension chain establishment technology to obtain at least one reservation related to the processing reserve among the preset tolerances Setting a tolerance; accumulating the at least one preset tolerance related to the processing reserved amount to obtain a reserved amount cumulative tolerance; judging whether the processing reserved amount is greater than the reserved amount cumulative tolerance; and when the processing reserved amount If it is not greater than the accumulated tolerance of the reserved amount, readjust the reserved amount for processing so that the reserved amount for processing is greater than the accumulated tolerance for the reserved amount. The part processing planning method as described in claim 2 further includes: The value of the processing reserve is set equal to the maximum of the absolute value of the upper deviation and the absolute value of the lower deviation. The part processing planning method as described in claim 2 further includes: judging whether any one of the upper deviation and the lower deviation of the accumulated tolerance of the reserved amount is negative; and when the upper deviation and the lower deviation of the accumulated tolerance of the reserved amount are None of the lower deviations is negative, and the value of the processing reserve is set to a value greater than 0. A parts processing planning system, including: a processing information obtainer, used to: obtain a specification tolerance of a nominal size; and obtain individual default tolerances of a plurality of processes; and a processing information planner, used to: use the process size Chain building technology, using a loop method among the preset tolerances to obtain at least one preset tolerance related to the specification tolerance; accumulating the at least one preset tolerance related to the specification tolerance to obtain a size cumulative tolerance ; judging whether the cumulative tolerance of the size conforms to the specification tolerance; and when the cumulative tolerance does not conform to the specification tolerance, redistribute the at least one preset tolerance related to the specification tolerance so that the cumulative tolerance of the size conforms to the specification tolerance. The part processing planning system as described in claim 5, wherein the processing information obtainer is further used to: obtain a processing reserve; the processing planner is further used to: Using the process dimension chain establishment technology, among the preset tolerances, at least one preset tolerance related to the processing allowance is obtained; the at least one preset tolerance related to the processing allowance is accumulated to obtain a preset The cumulative tolerance of reserved amount; judging whether the reserved amount for processing is greater than the accumulated tolerance for the reserved amount; and when the reserved amount for processing is not greater than the accumulated tolerance for the reserved amount, readjust the reserved amount for processing so that It is greater than the reserved amount accumulative tolerance. The part processing planning system as described in claim 6, wherein the processing planner is further used to: set the value of the processing reserve to be equal to or greater than the maximum of the absolute value of the upper deviation and the absolute value of the lower deviation By. The part processing planning system as described in claim 6, wherein the processing planner is further used to: judge whether any one of the upper deviation and the lower deviation of the accumulated tolerance of the reserved amount is negative; and when the accumulated amount of reserved Neither the upper deviation nor the lower deviation of the tolerance is negative, and the value of the processing reserve is set to a value greater than 0. A part assembly planning method, which is executed by a processor, and includes: obtaining a first measured size of a plurality of first parts and a second measured size of a plurality of second parts, wherein each of the first parts A part has the same first male said size and a first specification tolerance, and each of the second parts has the same second specification tolerance; the first part that does not meet the second specification tolerance and cannot fit any of the first measured dimensions is eliminated The second part of the actual measured size; temporarily remove the first part of the first measured size closest to the first nominal size; and the second parts that are not rejected and not temporarily removed Perform a fitting analysis of the first measured dimensions and the second measured dimensions of the first parts. The part assembly planning method as described in claim 9, wherein the first measured dimensions and the second quantities are performed on the second parts that are not rejected and the first parts that are not temporarily removed The step of the matching analysis of the measured dimensions includes: performing the matching of the first measured dimensions and the second measured dimensions on the second parts that are not rejected and the first parts that are not temporarily removed The matching analysis is to obtain a plurality of first matching combinations, wherein each of the first matching combinations includes the first part and the second part that are matched with each other, and each of the first matching combinations is completely different ; Obtain a first combination comprehensive value of one of the first matching combinations; perform the first measured dimensions and the The matching analysis of the second measured dimensions, and obtain a plurality of second matching combinations, wherein each of the second matching combinations includes the first part and the second part that are matched to each other, and each of the first matching The two matching combinations are completely different, and the second matching combinations are not exactly the same as the first matching combinations; obtaining a second combination comprehensive value of the second matching combinations; and The first matching combinations or the second matching combinations corresponding to the best of the first matching comprehensive value and the second matching comprehensive value are used as a best matching selection. The part assembly planning method as described in claim 9, wherein the first measured dimensions and the second quantities are performed on the second parts that are not rejected and the first parts that are not temporarily removed In the step of the matching analysis of dimension measurement, when the second parts that are not eliminated and the first parts that are not temporarily removed cannot be completely matched, the part assembly planning method further includes: temporarily moving except that the first part replaces a replacee of the first parts that were not temporarily removed; and re-executing the fitting analysis. The parts assembly planning method as described in claim 11, wherein in the step of replacing the first parts that are not temporarily removed with the temporarily removed first part, the replaced person is Among the first parts that do not comply with the first specification tolerance, the one that differs the most from the first nominal dimension. A part assembly planning system, comprising: a measuring dimension obtainer, used to obtain a first actual measured dimension of a plurality of first parts and a second actual measured dimension of a plurality of second parts respectively, wherein each of the first A part has the same first nominal size and a first specification tolerance, and each of the second parts has the same second specification tolerance; an assembly planner, used to: reject the second specification tolerance that does not meet and cannot the second part of the second measured dimension fitted to any of the first measured dimensions; Temporarily removing the first part which is closest to the first nominal size among the first measured dimensions; A fitting analysis of the first measurement dimension and the second measurement dimensions. The parts assembly planning system as described in claim 13, wherein the assembly planner is further used to: perform the first measurements on the second parts that are not rejected and the first parts that are not temporarily removed the matching analysis of dimensions and the second measured dimensions to obtain a plurality of first matching combinations, wherein each of the first matching combinations includes the first part and the second part matching each other, And each of the first matching combinations is completely different; obtain a first matching comprehensive value of one of the first matching combinations; for the second parts that are not eliminated and the first parts that are not temporarily removed performing the matching analysis of the first measured dimensions and the second measured dimensions, and obtaining a plurality of second matching combinations, wherein each of the second matching combinations includes the first parts matched with each other Each of the second matching combinations is completely different from the second part, and the second matching combinations are not exactly the same as the first matching combinations; obtaining a second set of one of the second matching combinations matching comprehensive value; and the first matching combination or the second matching combination corresponding to the best of the first matching comprehensive value and the second matching comprehensive value as a best matching choose. The parts assembly planning system as described in claim 13, wherein when the second parts that are not rejected and the first parts that are not temporarily removed cannot be completely matched, the assembly planner is further used to: replacing one of the replaced ones of the first parts not temporarily removed with the temporarily removed first part; and re-performing the fitting analysis. The part assembly planning system according to claim 15, wherein the replaced part is the one with the largest difference from the first nominal size among the first parts that do not meet the first specification tolerance. A computer program product for loading into a part processing planning system to execute a part processing planning method, the part processing planning method includes: obtaining a specification tolerance of a nominal size of a part; obtaining a plurality of processes Individual preset tolerances; using the process dimension chain establishment technology, among these preset tolerances, adopting the loop method to obtain at least one preset tolerance related to the specification tolerance; accumulating the at least one preset tolerance related to the specification tolerance Setting a tolerance to obtain a cumulative tolerance of a dimension; judging whether the cumulative tolerance of the dimension conforms to the specification tolerance; The cumulative tolerance matches the specification tolerance. A computer program product, used to be loaded into a part assembly planning system to execute a part assembly planning method, the part assembly planning method includes: obtaining a first measured size and a plurality of individual first parts of a plurality of first parts A second measured dimension of each of the second parts, wherein each of the first parts has the same first dimension said size and a first specification tolerance, and each of the second parts has the same second specification tolerance; the first part that does not meet the second specification tolerance and cannot fit any of the first measured dimensions is eliminated The second part of the actual measured size; temporarily remove the first part of the first measured size closest to the first nominal size; and the second parts that are not rejected and not temporarily removed Perform a fitting analysis of the first measured dimensions and the second measured dimensions of the first parts.

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