CN117172611A - Method, system and equipment for evaluating all-machine fastener in design and manufacturing process - Google Patents

Method, system and equipment for evaluating all-machine fastener in design and manufacturing process Download PDF

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Publication number
CN117172611A
CN117172611A CN202311259903.7A CN202311259903A CN117172611A CN 117172611 A CN117172611 A CN 117172611A CN 202311259903 A CN202311259903 A CN 202311259903A CN 117172611 A CN117172611 A CN 117172611A
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fastener
information entropy
relative rate
entropy
design
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Inventor
李俊明
金士兵
赵虹虹
巩霞平
洪学超
闫占乾
郑宝
于小喆
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BEIJING RAINFE TECHNOLOGY CO LTD
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BEIJING RAINFE TECHNOLOGY CO LTD
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

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Abstract

The invention discloses a method, a system and equipment for evaluating all-machine fasteners in a design and manufacturing process, and relates to the technical field of equipment manufacturing. The method comprises the following steps: acquiring design data of a full-machine fastener; the all-in-one fastener design data includes: the number of fastener types, the number of individual type fastener uses, and the total number of fastener uses; calculating information entropy, average information entropy and maximum entropy according to the whole machine fastener design data; calculating the information entropy relative rate and the average information entropy relative rate according to the information entropy, the average information entropy and the maximum entropy; comparing the information entropy relative rate with the average information entropy relative rate to obtain an evaluation result; the evaluation result is fastener design data specification or fastener design data non-specification. The invention can form the evaluation value of the whole machine fastener design and provide optimization suggestion for the fastener design.

Description

Method, system and equipment for evaluating all-machine fastener in design and manufacturing process
Technical Field
The invention relates to the technical field of equipment manufacturing, in particular to a method, a system and equipment for evaluating all-machine fasteners in a design and manufacturing process.
Background
Fastener assembly is an important part of equipment manufacturing enterprises in research and development, and because of the large number of fasteners designed in the process of fastener assembly design, an overall evaluation method and an optimization proposal method for the design of the fasteners are lacked in the process of design and manufacturing.
At present, a scheme and a method for evaluating all-machine fasteners are lacking, a selection catalog of appointed fasteners before design is mainly adopted, the number of the fasteners used after design is counted, the overall evaluation value is lacking, and the comparison analysis with other models and the commendability are lacking.
Disclosure of Invention
The invention aims to provide a method, a system and equipment for evaluating an all-machine fastener in the design and manufacturing process, so as to form an evaluation value of the all-machine fastener design and provide an optimization suggestion for the fastener design.
In order to achieve the above object, the present invention provides the following solutions:
a method of evaluating an all-machine fastener in a design and manufacturing process, comprising:
acquiring design data of a full-machine fastener; the all-machine fastener design data includes: the number of fastener types, the number of individual type fastener uses, and the total number of fastener uses;
calculating information entropy, average information entropy and maximum entropy according to the all-machine fastener design data;
calculating an information entropy relative rate and an average information entropy relative rate according to the information entropy, the average information entropy and the maximum entropy;
comparing the information entropy relative rate with the average information entropy relative rate to obtain an evaluation result; the evaluation result is that the design data of the fastener is standard or the design data of the fastener is not standard.
Optionally, calculating information entropy, average information entropy and maximum entropy according to the all-machine fastener design data, wherein the method specifically comprises the following steps:
calculating information entropy according to the number of the fastener types, the number of the single-type fasteners and the total number of the fasteners, and calculating average information entropy according to the total number of the fasteners;
the maximum entropy is calculated from the total number of fastener uses using a maximum entropy formula.
Optionally, calculating information entropy according to the number of fastener types, the number of single-type fasteners and the total number of the fasteners, wherein the specific formula is as follows:
H(x)=-∑p(xi)log(p(xi),2);
where H (x) represents information entropy, xi represents the number of single type fastener uses, p (xi) represents the ratio of the number of single type fastener uses to the total number of fastener uses, and Σ represents summation.
Optionally, calculating an average information entropy according to the total number of the fasteners, wherein the specific formula is as follows:
Havg(x)=∑(1/i),i=(2~n);
where Havg (x) represents the average information entropy, n represents the total number of fastener uses, i represents an integer from 2 to n, and Σ represents the summation.
Optionally, the maximum entropy is calculated from the total number of fastener uses, with the specific formula:
Hmax(x)=log(n,2);
where Hmax (x) represents the maximum entropy and n represents the total number of fastener applications.
Optionally, calculating the information entropy relative rate and the average information entropy relative rate according to the information entropy, the average information entropy and the maximum entropy specifically includes:
and calculating the information entropy relative rate according to the information entropy and the maximum entropy by adopting an information entropy relative rate formula, and calculating the average information entropy relative rate according to the average information entropy and the maximum entropy.
Optionally, comparing the information entropy relative rate with the average information entropy relative rate to obtain an evaluation result, which specifically includes:
comparing the information entropy relative rate with the average information entropy relative rate;
if the information entropy relative rate is smaller than or equal to the average information entropy relative rate, the evaluation result is a fastener design data specification;
and if the information entropy relative rate is larger than the average information entropy relative rate, the evaluation result is that the design data of the fastener is not standard.
A system for evaluating an all-machine fastener in a design and manufacturing process, comprising:
the data acquisition module is used for acquiring design data of the all-computer fastener; the all-machine fastener design data includes: the number of fastener types, the number of individual type fastener uses, and the total number of fastener uses;
the first calculation module is used for calculating information entropy, average information entropy and maximum entropy according to the all-computer fastener design data;
the second calculation module is used for calculating the information entropy relative rate and the average information entropy relative rate according to the information entropy, the average information entropy and the maximum entropy;
the comparison and evaluation module is used for comparing the information entropy relative rate with the average information entropy relative rate to obtain an evaluation result; the evaluation result is that the design data of the fastener is standard or the design data of the fastener is not standard.
An electronic device comprising a memory for storing a computer program and a processor that runs the computer program to cause the electronic device to perform the method of full-machine fastener evaluation in a design and manufacturing process described above.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
according to the method for evaluating the full-machine fastener in the design and manufacturing process, the information entropy, the average information entropy and the maximum entropy are calculated according to the full-machine fastener design data, the information entropy relative rate and the average information entropy relative rate are calculated, and the evaluation result representing whether the fastener design data are standard or not is obtained by comparing the information entropy relative rate and the average information entropy relative rate, so that optimization suggestions can be provided for the fastener design, the fastener mark information entropy can be reduced by optimizing the fastener mark types, the purchasing cost in the production and manufacturing process can be reduced, and the cost and efficiency are reduced for manufacturing purchasing.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for evaluating an all-machine fastener in a design and manufacturing process provided by the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention aims to provide a method, a system and equipment for evaluating an all-machine fastener in the design and manufacturing process, so as to form an evaluation value of the all-machine fastener design and provide an optimization suggestion for the fastener design.
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.
The invention provides a method for evaluating all-machine fasteners in a design and manufacturing process. As shown in fig. 1, the method includes:
step S1: and obtaining the design data of the all-machine fastener. The all-machine fastener design data includes: the number of fastener types, the number of individual type fastener uses, and the total number of fastener uses.
Wherein different types of fasteners are indicated by different brands, the fastener type is also referred to as a fastener brand.
Step S2: and calculating information entropy, average information entropy and maximum entropy according to the all-machine fastener design data.
The step S2 specifically comprises the following steps: calculating information entropy according to the number of the fastener types, the number of the single-type fasteners and the total number of the fasteners, and calculating average information entropy according to the total number of the fasteners; the maximum entropy is calculated from the total number of fastener uses using a maximum entropy formula.
The information entropy calculating method comprises the following steps: h (x) =e [ I (xi) ]=e [ log (1/p (xi)), 2] = Σp (xi) log (p (xi), 2); where H (x) represents information entropy, xi represents the number of single type fastener uses, p (xi) represents the ratio of the number of single type fastener uses to the total number of fastener uses, log (, 2) represents a logarithmic operation based on 2, and Σ represents a summation, where the number of summation times equals the number of fastener types.
The calculation method of the average information entropy comprises the following steps: havg (x) = Σ (1/i), i= (2 to n); where Havg (x) represents the average information entropy, n represents the total number of fastener applications, i represents an integer from 2 to n, Σ represents the summation, where the number of summation times equals n-1. The average information entropy is used to represent the value of the information entropy of the reference under normal conditions.
The method for calculating the maximum entropy comprises the following steps: hmax (x) =log (n, 2); where Hmax (x) represents the maximum entropy and n represents the total number of fastener applications.
Step S3: and calculating the information entropy relative rate and the average information entropy relative rate according to the information entropy, the average information entropy and the maximum entropy.
The step S3 specifically comprises the following steps: and calculating the information entropy relative rate according to the information entropy and the maximum entropy by adopting an information entropy relative rate formula, and calculating the average information entropy relative rate according to the average information entropy and the maximum entropy.
The method for calculating the information entropy relative rate comprises the following steps: information entropy/maximum entropy is 100%. I.e., P (x) =h (x)/Hmax (x) = - Σp (xi) log (P (xi), 2)/log (n, 2) ×100%.
The calculation method of the average information entropy relative rate comprises the following steps: average information entropy/maximum entropy is 100%, i.e. Pavg (x) =havg (x)/Hmax (x) = Σ (1/i)/log (n, 2), i= (2 to n).
Step S4: and comparing the information entropy relative rate with the average information entropy relative rate to obtain an evaluation result. The evaluation result is that the design data of the fastener is standard or the design data of the fastener is not standard.
The step S4 specifically comprises the following steps: comparing the information entropy relative rate with the average information entropy relative rate; if the information entropy relative rate is smaller than or equal to the average information entropy relative rate, namely P (x) is smaller than or equal to Pavg (x), the evaluation result is a fastener design data specification, and the result shows that the fastener design data is more standard; if the information entropy relative rate is larger than the average information entropy relative rate, namely P (x) > Pavg (x), the evaluation result is that the design data of the fastener is not standard, the design data of the fastener is disordered, and further optimization is recommended.
According to the above calculation formula, the comparison is illustrated in table 1:
for example scenario one: the number of GB8M10x30 and GB8M10x35 is 4, the number of brand types is 2, and the total number of fastener uses is 10.
For example scenario two: the number of GB8M10x30 is 1, the number of GB8M10x35 is 2, the number of GB8M10x40 is 7, the number of brand types is 3, and the total number of fastener uses is 10.
For example scenario three: the number of GB8M10x30 is 1, the number of GB8M10x35 is 1, the number of GB8M10x40 is 1, the number of GB8M10x45 is 1, the number of GB8M10x50 is 2, the number of GB8M10x55 is 4, the number of brand types is 6, and the total number of fastener uses is 10.
Table 1 full machine fastener evaluation comparative table
In summary, the present invention provides a method by which the design of all-machine fasteners can be evaluated for their excellent performance. By optimizing the types of the fastener marks, the information entropy of the fastener marks is reduced, the purchasing cost in the production and manufacturing process is reduced, the cost is reduced and the efficiency is improved for manufacturing purchasing, and optimization suggestions are provided for the design of the fastener.
In order to implement the above method to achieve the corresponding functions and technical effects, a system for evaluating an all-machine fastener in a design and manufacturing process is provided below. The system comprises:
and the data acquisition module is used for acquiring the design data of the all-computer fastener. The all-machine fastener design data includes: the number of fastener types, the number of individual type fastener uses, and the total number of fastener uses.
And the first calculation module is used for calculating information entropy, average information entropy and maximum entropy according to the all-machine fastener design data.
And the second calculation module is used for calculating the information entropy relative rate and the average information entropy relative rate according to the information entropy, the average information entropy and the maximum entropy.
And the comparison and evaluation module is used for comparing the information entropy relative rate with the average information entropy relative rate to obtain an evaluation result. The evaluation result is that the design data of the fastener is standard or the design data of the fastener is not standard.
The invention also provides an electronic device comprising a memory for storing a computer program and a processor for running the computer program to cause the electronic device to perform the method of full-machine fastener evaluation in the design and manufacturing process described above. The electronic device may be a server.
In addition, the invention also provides a computer readable storage medium which stores a computer program, and the computer program is executed by a processor to realize the method for evaluating the full-machine fastener in the design and manufacturing process.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
The principles and embodiments of the present invention have been described herein with reference to specific examples, the description of which is intended only to assist in understanding the methods of the present invention and the core ideas thereof; also, it is within the scope of the present invention to be modified by those of ordinary skill in the art in light of the present teachings. In view of the foregoing, this description should not be construed as limiting the invention.

Claims (9)

1. A method for evaluating an all-machine fastener in a design and manufacturing process, comprising:
acquiring design data of a full-machine fastener; the all-machine fastener design data includes: the number of fastener types, the number of individual type fastener uses, and the total number of fastener uses;
calculating information entropy, average information entropy and maximum entropy according to the all-machine fastener design data;
calculating an information entropy relative rate and an average information entropy relative rate according to the information entropy, the average information entropy and the maximum entropy;
comparing the information entropy relative rate with the average information entropy relative rate to obtain an evaluation result; the evaluation result is that the design data of the fastener is standard or the design data of the fastener is not standard.
2. The method for evaluating the full-machine fastener in the design and manufacturing process according to claim 1, wherein the information entropy, the average information entropy and the maximum entropy are calculated according to the full-machine fastener design data, and specifically comprises the following steps:
calculating information entropy according to the number of the fastener types, the number of the single-type fasteners and the total number of the fasteners, and calculating average information entropy according to the total number of the fasteners;
the maximum entropy is calculated from the total number of fastener uses using a maximum entropy formula.
3. The method of evaluating full machine fasteners in a design and manufacturing process according to claim 2, wherein the information entropy is calculated according to the number of fastener types, the number of single type fasteners used and the total number of fasteners used by the specific formula:
H(x)=-∑p(xi)log(p(xi),2);
where H (x) represents information entropy, xi represents the number of single type fastener uses, p (xi) represents the ratio of the number of single type fastener uses to the total number of fastener uses, and Σ represents summation.
4. The method for evaluating all-machine fasteners in a design and manufacturing process according to claim 2, wherein the average information entropy is calculated according to the total number of the fasteners used, and the specific formula is as follows:
Havg(x)=∑(1/i),i=(2~n);
where Havg (x) represents the average information entropy, n represents the total number of fastener uses, i represents an integer from 2 to n, and Σ represents the summation.
5. The method of evaluating full machine fasteners in a design and manufacturing process according to claim 2, wherein the maximum entropy is calculated from the total number of fastener uses by the following formula:
Hmax(x)=log(n,2);
where Hmax (x) represents the maximum entropy and n represents the total number of fastener applications.
6. The method for evaluating the full machine fastener in the design and manufacturing process according to claim 1, wherein calculating the information entropy relative rate and the average information entropy relative rate according to the information entropy, the average information entropy and the maximum entropy specifically comprises:
and calculating the information entropy relative rate according to the information entropy and the maximum entropy by adopting an information entropy relative rate formula, and calculating the average information entropy relative rate according to the average information entropy and the maximum entropy.
7. The method for evaluating the full-machine fastener in the design and manufacturing process according to claim 1, wherein comparing the information entropy relative rate with the average information entropy relative rate to obtain an evaluation result, specifically comprises:
comparing the information entropy relative rate with the average information entropy relative rate;
if the information entropy relative rate is smaller than or equal to the average information entropy relative rate, the evaluation result is a fastener design data specification;
and if the information entropy relative rate is larger than the average information entropy relative rate, the evaluation result is that the design data of the fastener is not standard.
8. A system for evaluating an all-machine fastener in a design and manufacturing process, comprising:
the data acquisition module is used for acquiring design data of the all-computer fastener; the all-machine fastener design data includes: the number of fastener types, the number of individual type fastener uses, and the total number of fastener uses;
the first calculation module is used for calculating information entropy, average information entropy and maximum entropy according to the all-computer fastener design data;
the second calculation module is used for calculating the information entropy relative rate and the average information entropy relative rate according to the information entropy, the average information entropy and the maximum entropy;
the comparison and evaluation module is used for comparing the information entropy relative rate with the average information entropy relative rate to obtain an evaluation result; the evaluation result is that the design data of the fastener is standard or the design data of the fastener is not standard.
9. An electronic device comprising a memory for storing a computer program and a processor that runs the computer program to cause the electronic device to perform the method of full-machine fastener evaluation in a design and manufacturing process as claimed in any one of claims 1 to 7.
CN202311259903.7A 2023-09-27 2023-09-27 Method, system and equipment for evaluating all-machine fastener in design and manufacturing process Pending CN117172611A (en)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105721242A (en) * 2016-01-26 2016-06-29 国家信息技术安全研究中心 Information entropy-based encrypted traffic identification method
CN108961056A (en) * 2018-06-30 2018-12-07 济宁市创启信息科技有限公司 Stock market's investor sentiment based on entropy dimension and maximum entropy ratio acts on behalf of index selection method
CN109118041A (en) * 2018-06-30 2019-01-01 济宁市创启信息科技有限公司 Stock market's investor sentiment index back-and-forth method based on cluster with maximum entropy delta ratio
CN110991828A (en) * 2019-11-19 2020-04-10 东北大学 Steel rail fastener state detection method based on information entropy theory
CN114331229A (en) * 2022-03-11 2022-04-12 北京瑞风协同科技股份有限公司 Comprehensive balancing method and system for equipment guarantee scheme

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105721242A (en) * 2016-01-26 2016-06-29 国家信息技术安全研究中心 Information entropy-based encrypted traffic identification method
CN108961056A (en) * 2018-06-30 2018-12-07 济宁市创启信息科技有限公司 Stock market's investor sentiment based on entropy dimension and maximum entropy ratio acts on behalf of index selection method
CN109118041A (en) * 2018-06-30 2019-01-01 济宁市创启信息科技有限公司 Stock market's investor sentiment index back-and-forth method based on cluster with maximum entropy delta ratio
CN110991828A (en) * 2019-11-19 2020-04-10 东北大学 Steel rail fastener state detection method based on information entropy theory
CN114331229A (en) * 2022-03-11 2022-04-12 北京瑞风协同科技股份有限公司 Comprehensive balancing method and system for equipment guarantee scheme

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