CN112528298A - Intelligent manufacturing data management method for carbon fiber composite material - Google Patents
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Abstract
The invention provides an intelligent manufacturing data management method of a carbon fiber composite material, which specifically comprises the following steps: acquiring process parameters and material parameters in the production process of the carbon fiber composite material, and acquiring associated auxiliary parameters according to the parameters; calculating a value degree from a plurality of parameters of the process parameters and the material parameters, and determining core parameters or secret-related parameters according to the value degree or the identification; and grading the parameters according to the calculated value degree. The invention also provides an intelligent manufacturing data management system of the carbon fiber composite material. By using the method and the system, the safety of important data in the production process of an enterprise can be improved, the intelligent production efficiency is ensured, and meanwhile, the technical innovation and the enterprise competitiveness are better protected.
Description
Technical Field
The invention relates to the field of intelligent manufacturing, in particular to an intelligent manufacturing data management method and system for a carbon fiber composite material.
Background
With the wave of the integration of industrialization and informatization, an industrial control system and an IT system are inseparable. Modern industrial control systems gradually adopt general TCP/IP standard protocols and general operating systems, and are increasingly connected with other information systems such as business systems. The original relatively closed industrial control network environment is gradually opened, and the industrial control system is gradually exposed to network threats.
Intelligent manufacturing requires not only that enterprise information networks be connected to the internet, but also that original relatively independent production and manufacturing links be connected with business information systems (such as warehousing systems and purchasing systems) of companies. Through the business system of the company, a quick response can be made to a user request from the internet. The industrial big data can help design and produce more intelligent, flexible and dynamic production lines, and the connection between an originally closed industrial control network and the outside is also required. Due to the interconnection and intercommunication of the industrial control network and the information network, viruses and malicious programs can be easily expanded from the information network to the industrial control network.
In the processing or manufacturing process of the carbon fiber composite material, the situation that core or confidential data are disclosed and important materials or production data are randomly browsed or transmitted can occur through an intelligent data management system.
Disclosure of Invention
In view of the problems in the prior art, the invention provides an intelligent manufacturing data management method for a carbon fiber composite material, which specifically comprises the following steps:
(1) acquiring process parameters and material parameters in the production process of the carbon fiber composite material, and acquiring associated auxiliary parameters according to the parameters;
(2) calculating a value degree from a plurality of parameters of the process parameters and the material parameters, and determining core parameters or secret-related parameters according to the value degree or the identification;
(3) grading the parameters according to the calculated value degree, wherein the data parameters with low grade are displayed in a public area, and the data parameters with high grade are displayed in a specific area or only displayed to personnel with specific authority;
(4) determining recommended content which is pushed preferentially or recommended content which is referred to as data preferentially when a plan or a decision is made according to the data parameter level;
(5) and determining the encryption degree in the data interaction process according to the data parameter grade.
Preferably, the step (2) is specifically to calculate the value degree of the parameter based on the innovation degree of the data parameter, the association degree with other parameters, the weight value of the associated parameter, and the assistance degree of the parameter obtained by the data parameter.
Preferably, the value V ═ a · innovation + b · correlation + c · assist of the parameter.
Preferably, in the step (4), when a production plan or a material use strategy is formulated, priority display ordering is performed for different parameter levels and specific conditions, or parameter pushing is performed for specific personnel.
The invention also provides an intelligent manufacturing data management system of the carbon fiber composite material, which comprises a parameter acquisition module, a storage module, a parameter calculation module and a classification module;
the parameter acquisition module is used for acquiring process parameters and material parameters in the production process of the carbon fiber composite material and acquiring associated auxiliary parameters according to the parameters;
the parameter calculation module is used for calculating the value degree from a plurality of parameters of the process parameters and the material parameters and determining the core parameters or the secret-related parameters according to the value degree or the identification;
the classification module is used for grading the parameters according to the calculated value degree, displaying the data parameters with low grade in a public area, and displaying the data parameters with high grade in a specific area or only displaying the data parameters to personnel with specific authority.
The invention has the beneficial effects that: the safety of important data in the production process of an enterprise is improved, the intelligent production efficiency is guaranteed, and meanwhile protection is better provided for technical innovation and enterprise competitiveness.
Drawings
The drawings described herein are for illustrative purposes only of selected embodiments and not all possible implementations, and are not intended to limit the scope of the present disclosure. In the drawings:
FIG. 1 is a flow chart of a method for intelligent manufacturing data management of carbon fiber composite materials;
FIG. 2 is a schematic diagram of a system for intelligent manufacturing data management of carbon fiber composite materials.
While the disclosure is susceptible to various modifications and alternative forms, specific embodiments thereof have been shown by way of example in the drawings and are herein described in detail. It should be understood, however, that the description herein of specific embodiments is not intended to limit the disclosure to the particular forms disclosed, but on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the disclosure. It is noted that throughout the several views, corresponding reference numerals indicate corresponding parts.
Detailed Description
Examples of the present disclosure will now be described more fully with reference to the accompanying drawings. The following description is merely exemplary in nature and is not intended to limit the present disclosure, application, or uses.
Example embodiments are provided so that this disclosure will be thorough, and will fully convey the scope to those skilled in the art. Numerous specific details are set forth such as examples of specific components, devices, and methods to provide a thorough understanding of embodiments of the present disclosure. It will be apparent to those skilled in the art that specific details need not be employed, that example embodiments may be embodied in many different forms and that neither should be construed to limit the scope of the disclosure. In certain example embodiments, well-known processes, well-known structures, and well-known technologies are not described in detail.
The technical problems posed by the present disclosure will be explained in detail below. It is to be noted that this technical problem is merely exemplary and is not intended to limit the application of the present invention.
Example one
The invention provides an intelligent manufacturing data management method of a carbon fiber composite material, which comprises the following specific steps as shown in figure 1:
in the production process of the carbon fiber composite material, important parameters of a plurality of links are involved, and in order to manage the data such as monitoring, storing, displaying, adjusting and the like, the parameters need to be timely acquired, calculated, classified and the like, so that the safety of the parameters is ensured in the production and other links, and meanwhile, planning and decision parameters in the production, storing and other processes of the carbon fiber composite material are provided.
1. The method comprises the steps of obtaining technological parameters and material parameters in the production process of the carbon fiber composite material, and obtaining related auxiliary parameters such as personnel, preset ranges, time and date and the like according to the parameters. The process parameters are real-time parameters of the current material processing process; the material parameter is information of the raw material, namely the physical property or the chemical property of the material.
The method specifically comprises the following steps: monitoring relevant parameters in the production process of the carbon fiber composite material, acquiring real-time parameters such as color, temperature, strength and the like of the current material processing process, and then acquiring preset process parameters and material parameters of the current material according to basic information of the current material. The basic information includes material name, number, and the like. The preset process parameters of the current material mainly comprise parameters such as equipment or environment related to a process technology used when the current material is processed by equipment; the material parameters include the amount and proportion of each component or element in the composite material, i.e. the specific formula of the current material in the manufacturing work.
The method comprises the steps of sorting parameter information of currently acquired materials and processes, firstly obtaining material parameters corresponding to the materials and process parameters in current processing, and then correspondingly acquiring associated auxiliary parameters according to the material parameters and the process parameters, wherein the auxiliary parameters can be equipment parameters, operator parameters, corresponding environment parameters and the like used in processing.
And storing the material parameters, the process parameters and the auxiliary parameters corresponding to the material basic information in a list form in an associated manner.
2. The method comprises the steps of calculating a data parameter from a plurality of parameters of a process parameter and a material parameter, wherein the data parameter is a core parameter or a secret-related parameter, calculating a value degree, namely, obtaining the innovation degree of the data parameter, the association degree of the data parameter with other parameters, the weight of the associated parameter and the auxiliary degree of the parameter based on the data parameter, and calculating the value degree of the parameter, so as to judge whether the parameter is the core parameter or the secret-related parameter or important data in the production process based on the parameter.
The method specifically comprises the following steps: and (3) extracting corresponding parameters from the parameter list obtained in the step (2) according to the basic information of the materials related in the current production process or the materials required to be displayed, so that one or more parameter sequences corresponding to one or more current materials can be obtained. Such as: material 1, parameter 2, material parameter 1, process parameter 1, auxiliary parameter 2 … …
Aiming at the sequence, firstly, judging whether one or more material parameter sequences contain preset identification or not, and if not, continuing the subsequent steps; and if so, extracting the identifier corresponding to the parameter. The marks are a secret mark, a core technology mark, an innovation degree mark, an association degree mark, an assistance degree mark and the like. Wherein, the important or basic parameters in the process, material or manufacturing process are marked by using core technology identification; the original technology involving the trade secret is to use a secret identification mark.
Secondly, parameters including the security identification and the core technology identification or parameters obtained based on the parameters are directly marked as the security parameters, namely the parameters with the highest grade corresponding to the material.
And then, carrying out value degree calculation on other parameters, wherein the calculation does not comprise auxiliary parameters, and the specific calculation mode is as follows:
the value degree V of the parameter is a innovation degree + b correlation degree + c auxiliary degree
The innovation degree is obtained from the identifier of the parameter or the original parameter identifier of the obtained parameter, for example: parameter 1 contains an innovation indicator, and parameter 2 obtained by parameter 1 in the production process also corresponds to the innovation indicator. And the innovation degree mark is preset to a plurality of levels, such as 1-5 or 1-10.
The relevancy refers to the number and the relationship of other parameters related to the parameter, wherein the relationship refers to whether the relationship is obtained by calculating the related parameter or calculating the relationship after the relationship is obtained by calculating the related parameter and the other parameters together.
The auxiliary degree refers to the grade of one or more auxiliary parameters in the corresponding auxiliary parameters, and if the operator corresponding to the parameter 1 is a high-grade authority person, the auxiliary parameter degree can be set to a numerical value corresponding to the high grade.
a. And b and c are weight coefficients, and can be adjusted according to the innovation degree, the correlation degree and the importance degree of the auxiliary parameter in the production process of the composite material, so that the value degree of the parameter is determined.
For example: the material 1 comprises a parameter 1, a parameter 2, a parameter 3, a parameter 4 and a parameter 5, wherein the parameter 1 comprises a secret identifier, and the parameter 2 comprises an innovation degree identifier (innovation degree is 5), wherein the innovation degree is 1-5. While parameter 3 may be derived based on parameter 2, parameter 2 is calculated together with parameter 4 to derive other parameters, and in addition, parameter 3 is associated with a specific device (device level 3) and has a high requirement on environmental parameters (environmental parameter level 3), and parameter 5 is associated with a high level of personnel (personnel level 5), where the personnel level values are 1-5.
Setting the weight coefficient according to actual needs, for example, a + b + c is 10, if the importance of the innovation degree is the highest, the assistance degree is the second, and finally the relevance degree is the last, setting a is 5, b is 2, and c is 3, and specifically calculating as follows:
the parameter 1 is marked as the highest classified mark;
the value degree V2 of parameter 2 is 5 innovation (5) +2 correlation (4) is 31 (this parameter has two associated parameters and no associated auxiliary parameters);
the value degree V3 of parameter 3 is 5 × innovation (5) +2 × relevance (2) +3 × assistance (6) ═ 47 (the parameter innovation is 5 the same as parameter 2, there is only one associated parameter, and there are two associated assistance parameters);
the value degree V4 of parameter 4 is 2 × degree of correlation (2) is 4;
the value degree V5 of parameter 5 is 3, and the assist degree (5) is 15 (this parameter is not high in value degree, but corresponds to a high-ranked person).
3. And grading the parameters according to the calculated value degrees of the parameters, wherein the data parameters with low grades are displayed in a public area, and the data parameters with high grades are displayed in a specific area or only displayed to personnel with specific authority.
The method specifically comprises the following steps: dividing each parameter according to the value degree, wherein the specific rule is as follows:
the parameter containing the confidential parameter identification is a first grade, such as parameter 1;
the parameter with the value degree higher than the first threshold is a second level, for example, the first threshold is set to be 40, the parameter is 3, and the parameter of the level can also be set to be a secret parameter as required;
the parameter with the value degree higher than the threshold value two and less than the threshold value one is a third grade, if the threshold value one is set to be 20, the parameter is 2;
the parameter with the value degree smaller than the threshold value two is a fourth grade, such as parameter 4;
in addition, for the parameters with special requirements, the parameters are divided into other grades according to the corresponding auxiliary parameters, and each parameter corresponds to a specific display or search condition. Such as parameter 5, which corresponds to an operator with a rating of 5.
When displaying or data transmitting, encrypting the parameters of the first level and the second level, and displaying the parameters of the second level and the third level on a specific interface, wherein the interface can be set as the use authority of a specific person or a specific department; the fourth level parameters may be displayed in a common area for all users, while the special parameters are only displayed to the corresponding operator or manager.
The first level and the second level are set to be high levels, the third level is set to be a middle level, and the fourth level is set to be a low level. The parameters of the first level must be used or browsed by the security personnel and are not displayed on a specific interface or a public area of the interface; if the parameter of the second level is the confidential information, the authority and the display mode are the same as those of the parameter of the first level, otherwise, the parameter of the third level is the same as that of the parameter of the first level, and a specific person or a specific part is required to use or browse the parameter and the parameter is displayed on a specific interface; the fourth level of parameters can then be used and viewed by any person and displayed in a common area of the interface.
4. And according to the data parameter level, determining the recommended content which is pushed preferentially or the recommended content which is referred to as data preferentially when a plan or a decision is made.
The method specifically comprises the following steps: when a production plan or a material using strategy is formulated, priority display and sequencing are carried out according to different parameter levels and specific conditions, or parameter pushing is carried out according to specific personnel. The specific conditions include information such as specific security requirements or display position size.
5. And determining the encryption degree in the data interaction process according to the data parameter grade.
Example two
The invention also provides an intelligent manufacturing data management system of the carbon fiber composite material, which comprises a parameter acquisition module, a storage module, a parameter calculation module, a classification module and a parameter pushing module, as shown in fig. 2.
The parameter acquisition module is used for acquiring process parameters and material parameters in the production process of the carbon fiber composite material, and acquiring associated auxiliary parameters such as personnel, a preset range, time and date and the like according to the parameters.
The parameter acquisition module is specifically configured to: in the production process, relevant parameters of the carbon fiber composite material are monitored, the parameter acquisition module acquires real-time parameters such as color, temperature, strength and the like of the current material processing process, and then the parameter acquisition module acquires preset process parameters and material parameters of the current material according to basic information of the current material. The basic information includes material name, number, and the like. The preset process parameters of the current material mainly comprise parameters such as equipment or environment related to a process technology used when the current material is processed by equipment; and the material parameters comprise the dosage, the proportion and the like of each component or element in the composite material.
The parameter acquisition module is used for sorting the parameter information of the currently acquired material and process, firstly acquiring each material parameter corresponding to the material basic information and the parameter in the current processing, and then correspondingly acquiring the associated auxiliary parameter according to the parameter, wherein the auxiliary parameter can be an equipment parameter, an operator parameter, a corresponding environment parameter and the like used in the processing.
The parameter acquisition module stores material parameters, process parameters and auxiliary parameters corresponding to the material basic information in the storage module in a list form in an associated manner.
The parameter calculation module is used for calculating the value degree from a plurality of parameters of the process parameters and the material parameters, determining the core parameters or the secret-related parameters through the value degree or the identification, namely calculating the value degree of the parameters based on the innovation degree of the data parameters, the association degree with other parameters, the weight of the associated parameters and the auxiliary degree of the parameters, so as to obtain the core parameters or the secret-related parameters or the important data in the production process based on the parameters.
The parameter calculation module is specifically configured to: for the materials involved in the current production process or the materials required to be displayed, the parameter calculation module extracts corresponding parameters from the parameter list obtained by the storage module according to the basic information of the parameter calculation module, so that one or more parameter sequences corresponding to the current one or more materials can be obtained. Such as: material 1, parameter 2, material parameter 1, process parameter 1, auxiliary parameter 2 … …
For the above sequences, firstly, the parameter calculation module judges whether one or more material parameter sequences contain a preset identifier, if not, the subsequent steps are continued; and if so, extracting the identifier corresponding to the parameter. The identification is a secret identification, a core technology identification and the like.
Secondly, the parameter calculation module directly marks the parameter containing the secret identification or the parameter obtained based on the parameter as a secret parameter, namely the parameter with the highest grade corresponding to the material.
Subsequently, the parameter calculation module calculates the value degree of other parameters, wherein the calculation does not include auxiliary parameters, and the specific calculation mode is as follows:
the value degree V of the parameter is a innovation degree + b correlation degree + c auxiliary degree
The innovation degree is obtained from the identifier of the parameter or the original parameter identifier of the obtained parameter, for example: parameter 1 contains an innovation indicator, and parameter 2 obtained by parameter 1 in the production process also corresponds to the innovation indicator. And the innovation degree mark is preset to a plurality of levels, such as 1-5 or 1-10.
The relevancy refers to the number and the relationship of other parameters related to the parameter, wherein the relationship refers to whether the relationship is calculated by the related parameter or calculated by the related parameter and other parameters.
The auxiliary degree refers to the grade of one or more auxiliary parameters in the corresponding auxiliary parameters, and if the operator corresponding to the parameter 1 is a high-grade authority person, the auxiliary parameter degree can be set to a numerical value corresponding to the high grade.
a. And b and c are weight coefficients, and can be adjusted according to the innovation degree, the correlation degree and the importance degree of the auxiliary parameter in the production process of the composite material, so that the value degree of the parameter is determined.
For example: the material 1 comprises a parameter 1, a parameter 2, a parameter 3, a parameter 4 and a parameter 5, wherein the parameter 1 comprises a secret identifier, and the parameter 2 comprises an innovation degree identifier (innovation degree is 5), wherein the innovation degree is 1-5. While parameter 3 may be derived based on parameter 2, parameter 2 is calculated together with parameter 4 to derive other parameters, and in addition, parameter 3 is associated with a specific device (device level 3) and has a high requirement on environmental parameters (environmental parameter level 3), and parameter 5 is associated with a high level of personnel (personnel level 5), where the personnel level values are 1-5.
Setting the weight coefficient according to actual needs, for example, a + b + c is 10, if the importance of the innovation degree is the highest, the assistance degree is the second, and finally the relevance degree is the last, setting a is 5, b is 2, and c is 3, and specifically calculating as follows:
the parameter 1 is marked as the highest classified mark;
the value degree V2 of parameter 2 is 5 innovation (5) +2 correlation (4) is 31 (this parameter has two associated parameters and no associated auxiliary parameters);
the value degree V3 of parameter 3 is 5 × innovation (5) +2 × relevance (2) +3 × assistance (6) ═ 47 (the parameter innovation is 5 the same as parameter 2, there is only one associated parameter, and there are two associated assistance parameters);
the value degree V4 of parameter 4 is 2 × degree of correlation (2) is 4;
the value degree V5 of parameter 5 is 3, and the assist degree (5) is 15 (this parameter is not high in value degree, but corresponds to a high-ranked person).
The classification module is used for grading the parameters according to the calculated value degree, displaying the data parameters with low grade in a public area, and displaying the data parameters with high grade in a specific area or only displaying the data parameters to personnel with specific authority.
The classification module is specifically configured to: dividing each parameter according to the value degree, wherein the specific rule is as follows:
the parameter containing the confidential parameter identification is a first grade, such as parameter 1;
the parameter with the value degree higher than the first threshold is a second level, for example, the first threshold is set to be 40, the parameter is 3, and the parameter of the level can also be set to be a secret parameter as required;
the parameter with the value degree higher than the threshold value two and less than the threshold value one is a third grade, if the threshold value one is set to be 20, the parameter is 2;
the parameter with the value degree smaller than the threshold value two is a fourth grade, such as parameter 4;
in addition, for the parameters with special requirements, the parameters are divided into other grades according to the corresponding auxiliary parameters, and each parameter corresponds to a specific display or search condition. Such as parameter 5, which corresponds to an operator with a rating of 5.
When displaying or data transmitting, encrypting the parameters of the first level and the second level, and displaying the parameters of the second level and the third level on a specific interface, wherein the interface can be set as the use authority of a specific person or a specific department; the fourth level parameters may be displayed in a common area for all users, while the special parameters are only displayed to the corresponding operator or manager.
The classification module is further configured to determine recommended content to be pushed preferentially or recommended content to be referred to as data preferentially when a plan or a decision is made according to the data parameter level.
The method specifically comprises the following steps: when a production plan or a material using strategy is formulated, priority display and sequencing are carried out according to different parameter grades and specific conditions, or parameter pushing is carried out by the parameter pushing module according to specific personnel. The specific conditions include information such as specific security requirements or display position size.
The classification module is also used for determining the encryption degree in the data interaction process according to the data parameter grade.
The preferred embodiments of the present disclosure are described above with reference to the drawings, but the present disclosure is of course not limited to the above examples. Various changes and modifications within the scope of the appended claims may be made by those skilled in the art, and it should be understood that these changes and modifications naturally will fall within the technical scope of the present disclosure.
In this specification, the steps described in the flowcharts include not only the processing performed in time series in the described order but also the processing performed in parallel or individually without necessarily being performed in time series. Further, even in the steps processed in time series, needless to say, the order can be changed as appropriate.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (8)
1. An intelligent manufacturing data management method of a carbon fiber composite material specifically comprises the following steps:
(1) acquiring process parameters and material parameters in the production process of the carbon fiber composite material, and acquiring associated auxiliary parameters according to the parameters;
(2) calculating a value degree from a plurality of parameters of the process parameters and the material parameters, and determining core parameters or secret-related parameters according to the value degree or the identification;
(3) grading the parameters according to the calculated value degree, wherein the data parameters with low grade are displayed in a public area, and the data parameters with high grade are displayed in a specific area or only displayed to personnel with specific authority;
(4) determining recommended content which is pushed preferentially or recommended content which is referred to as data preferentially when a plan or a decision is made according to the data parameter level;
(5) and determining the encryption degree in the data interaction process according to the data parameter grade.
2. The method according to claim 1, wherein the step (2) is specifically to calculate the value degree of the parameter based on the innovation degree of the data parameter, the association degree with other parameters, the weight value of the associated parameter and the auxiliary degree of the parameter.
3. The method of claim 2, wherein the parameter has a value degree, V ═ a × innovation degree + b × correlation degree + c × assist degree.
4. The method of claim 1, wherein the step (4) is specifically to perform priority display ordering for different parameter levels and specific conditions or perform parameter pushing for specific personnel when a production plan or a material use strategy is prepared.
5. An intelligent manufacturing data management system of carbon fiber composite materials comprises a parameter acquisition module, a storage module, a parameter calculation module and a classification module;
the parameter acquisition module is used for acquiring process parameters and material parameters in the production process of the carbon fiber composite material and acquiring associated auxiliary parameters according to the parameters;
the parameter calculation module is used for calculating the value degree from a plurality of parameters of the process parameters and the material parameters and determining the core parameters or the secret-related parameters according to the value degree or the identification;
the classification module is used for grading the parameters according to the calculated value degree, the data parameters with low grade are displayed in a public area, and the data parameters with high grade are displayed in a specific area or only displayed to personnel with specific authority.
6. The system of claim 5, wherein the classification module is further configured to determine a recommended content to be pushed preferentially or a recommended content to be referred to preferentially when a plan or a decision is made according to the data parameter level.
7. The system of claim 5, wherein the classification module is further configured to determine a degree of encryption during the data interaction based on the data parameter level.
8. The system of claim 5, wherein the parameter calculation module is specifically configured to calculate the value degree of the obtained parameter based on the innovation degree of the data parameter, the association degree with other parameters, the weight value of the associated parameter, and the assistance degree of the parameter.
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| CN104796290A (en) * | 2015-04-24 | 2015-07-22 | 广东电网有限责任公司信息中心 | Data security control method and data security control platform |
| CN105303324A (en) * | 2015-11-10 | 2016-02-03 | 中国建设银行股份有限公司 | Information system parameter management method and device |
| CN111726353A (en) * | 2020-06-17 | 2020-09-29 | 华中科技大学 | Sensitive data grading protection method and grading protection system based on numerical control system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104796290A (en) * | 2015-04-24 | 2015-07-22 | 广东电网有限责任公司信息中心 | Data security control method and data security control platform |
| CN105303324A (en) * | 2015-11-10 | 2016-02-03 | 中国建设银行股份有限公司 | Information system parameter management method and device |
| CN111726353A (en) * | 2020-06-17 | 2020-09-29 | 华中科技大学 | Sensitive data grading protection method and grading protection system based on numerical control system |
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