A device processing data transmission system and method based on industrial Internet of Things
By analyzing the standard and actual processing conditions of the production line equipment, predicting the optimal initial processing time and hash encryption transmission, the problem of difficult to predict the changes in the preheating stage of the production line equipment is solved, accurate prediction and safe transmission are achieved, and the Production capacity and product quality.
Patent Information
- Application Number
- CN202410589218.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-05-13
- Publication Date
- 2024-12-17
- Estimated Expiration
- 2044-05-13
AI Technical Summary
In industrial production, the processing conditions changes in the preheating stage of production line equipment are difficult to predict, resulting in large losses in test pieces and the initial time of batch processing cannot be directly predicted, affecting production capacity and product quality.
By obtaining the standards and actual processing conditions of production line equipment, analyzing the relationship between different processing stages and initial processing time, predicting the optimal initial processing time, and transmitting it to the equipment early warning management center through hash encryption for management and control, avoiding loss and improvement of test parts Production capacity.
It realizes accurate prediction of the optimal initial processing time of production line equipment, reduces test piece losses, improves production capacity, and ensures data transmission security and accuracy through feedback mechanisms.
Smart Images
Figure CN118631913B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of data transmission, and in particular to an equipment processing data transmission system and method based on industrial Internet of Things. Background Art
[0002] With the rapid development of the Internet of Things, people are using it more and more widely. In the industrial field, people can effectively monitor the actual processing conditions corresponding to different processing stages of production line equipment through sensors, thereby achieving effective management of the production line and, to a certain extent, achieving control over processed products.
[0003] In the actual processing process, when people just start the production line, they need to adjust the processing conditions corresponding to the different processing stages of the production line and set the thresholds of the processing conditions corresponding to the different processing stages. However, when the production line equipment is just started, the equipment will have a preheating stage. During this stage, the actual processing conditions of the production line equipment are constantly changing until they are adjusted to the set threshold. However, in order to increase production capacity and ensure product quality, companies often try to compress the preheating time of the machine as much as possible. The method adopted is to use test pieces to test the quality of the products processed by the production line equipment (test machine). Only after the test machine is successful, the actual products are processed in batches. This method has a large defect. It is impossible to directly predict and analyze the initial time of batch processing of actual products through existing historical data, which will cause great loss to the test pieces. Summary of the invention
[0004] The purpose of the present invention is to provide an equipment processing data transmission system and method based on industrial Internet of Things to solve the problems raised in the above background technology.
[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a method for equipment processing data transmission based on industrial Internet of Things, the method comprising the following steps:
[0006] S1. When the production line equipment processes the product, the standard line speed of the production line equipment and the standard processing conditions corresponding to each processing stage are obtained, and the standard processing condition corresponding to the bth processing stage when the production line equipment processes the product is recorded as Qb, and the corresponding Qb when b is different values are summarized into a blank set to obtain the standard processing condition set Q corresponding to the production line equipment when processing the product, and the standard processing condition is the processing condition of the corresponding processing stage when the production line equipment processes the product preset in the database;
[0007] S2. Obtain the line speed of the production line equipment and the actual processing conditions monitored by the sensors in each processing stage at the first processing time t during each product processing of the production line equipment in the historical database, record the actual processing conditions corresponding to the bth processing stage of the product processed by the production line equipment at the first processing time t in the nth processing process as QntSb, summarize the QntSb corresponding to different values of b into a blank set, and obtain the actual processing condition set QntS corresponding to the product processed by the production line equipment at the first processing time t in the nth processing process, where the line speed represents the distance the production line transmits the product per unit time when the production line equipment is running;
[0008] S3. Analyze the relationship between the actual processing conditions and the first processing time corresponding to different processing stages in the production line equipment, and predict the optimal initial processing time corresponding to the product processing under different line speeds of the production line equipment;
[0009] S4, obtaining the line speed adjusted when the production line equipment is turned on, combining the analysis results in S3, predicting the optimal initial processing time corresponding to the production line equipment processing the product to be processed, recorded as T, generating a first information set, and transmitting it to the equipment early warning management center in a hash encryption manner, and judging whether the information transmission is successful based on the feedback result of the equipment early warning management center;
[0010] S5. The equipment early warning management center parses the received encrypted data and controls the production line equipment based on the analysis results.
[0011] Furthermore, the first processing time t in the process of processing the product for the nth time in S2 represents the time during which the production line equipment is away from the reference point during the process of processing the product for the nth time, and the reference point represents the start time of the production line equipment during the process of processing the product for the corresponding number of times;
[0012] The line speed of the production line equipment at the first processing time t during the nth processing of the product is recorded as Vn, and the line speed of the production line equipment corresponding to each first processing time of the same number of processing times is the same.
[0013] The present invention sets the first processing time in consideration of predicting the best initial processing time of the production line equipment. The first processing time is determined relative to the start-up time of the production line equipment and has nothing to do with the overall use time of the production line equipment.
[0014] Furthermore, the method for analyzing the relationship between the actual processing conditions corresponding to different processing stages in the production line equipment and the first processing time in S3 includes the following steps:
[0015] S3.1. Obtain each actual processing condition set QntS corresponding to the production line equipment in the historical database;
[0016] S3.2. Obtain the average value of the corresponding values of the same element position in each QntS with the same t value, record the average value of the corresponding values of the b-th element position in each QntS with the same t value as PQb, and obtain the corresponding first array, recorded as (t, b, PQb);
[0017] S3.3, constructing a plane rectangular coordinate system with o as the origin, the first processing time as the x-axis and the processing condition as the y-axis;
[0018] S3.4. Classify the first arrays with the same b value into one category to obtain b categories, and obtain the coordinate point corresponding to each first array in each category respectively, and record the coordinate point corresponding to the first array (t, b, PQb) as (t, PQb);
[0019] S3.5. In the plane rectangular coordinate system, mark the coordinate points corresponding to each first array in the bth category, and perform curve fitting on each marked point in the plane rectangular coordinate system according to the activation function model y=r1*σ(x-r2)+r3 preset in the database, and take the fitting curve with the smallest sum of distances to each marked point as the curve fitting result, and record the function corresponding to the curve fitting result as Gb(x), as the relationship between the actual processing conditions corresponding to the bth processing stage in the production line equipment and the first processing time,
[0020] Wherein, r1, r2 and r3 represent the first coefficient, the second coefficient and the third coefficient respectively.
[0021] S3.6. Obtain the relationship between the actual processing conditions corresponding to different processing stages in the production line equipment and the first processing time.
[0022] In the process of analyzing the relationship between the actual processing conditions corresponding to different processing stages in the production line equipment and the first processing time, the present invention obtains the relationship function between the actual processing conditions corresponding to each processing stage in the production line equipment and the first processing time respectively. This is because the situation in which the processing conditions in different processing stages change with the first processing time is inconsistent; at the same time, the relationship function between the actual processing conditions corresponding to each processing stage in the production line equipment and the first processing time is obtained, which also provides data reference for predicting the optimal initial processing time corresponding to processing products under different line speeds of the production line equipment in the subsequent process.
[0023] Furthermore, the method for predicting the optimal initial processing time corresponding to processing the product under different line speeds of the production line equipment in S3 includes the following steps:
[0024] S3-1, obtain the length corresponding to the b-th processing stage of the production line equipment, recorded as Lb;
[0025] S3-2, obtain the first processing time corresponding to the first qualified product produced by the production line equipment during the nth processing in the historical data and passing through the starting point of the first stage, recorded as td, and obtain the line speed Vn of the production line equipment at the first processing time t during the process of processing the nth product;
[0026] S3-3, obtaining the first processing time interval [tnbm1, tnbm2] corresponding to the first processing time of the first qualified product produced by the production line equipment in the nth processing process in the historical data through the bmth stage, Said
[0027] S3-4, obtain the processing state deviation Zn of the product by the production line equipment in [tnbm1, tnbm2] bm ,
[0028]
[0029] S3-5, obtaining the processing state deviations corresponding to each stage of the first qualified product produced during the nth processing of the production line equipment in the historical data, and recording the maximum value of the ratio of any two processing state deviations among the obtained processing state deviations as the maximum deviation ratio ZBn;
[0030] S3-6, predict the optimal initial processing time tY corresponding to the product processing when the production line equipment line speed V is used,
[0031] In the process of predicting tY, ZP is used to represent the average value of the deviations of each processing state obtained when V is substituted into Vn and tY is substituted into td. The value of tY at that time is recorded as tY1, nw represents the total number of times the production line equipment processes products in the historical database, bw represents the total number of all production stages in the production line equipment,
[0032] Get the maximum deviation ratio ZB corresponding to the t value when t≥tY1 t ≤max{ZBn|n∈[1,nw]} corresponds to the range of t, denoted as H,
[0033] When H is not empty, max{ZB t |t≥tY1} corresponding to the t value, denoted as tY,
[0034] When H is empty, tY=tY1;
[0035] The max{ZBn|n∈[1,nw]} represents the maximum value of each ZBn corresponding to different values of n. t |t≥tY1} means that when t≥tY1, the maximum deviation ratio ZB corresponding to the t value t The maximum value in .
[0036] The present invention predicts the optimal initial processing time corresponding to the processing of products under different line speeds of the production line equipment, and obtains the processing state deviation of the product by the production line equipment in [tnbm1, tnbm2]. This is because the production line speed of the production line equipment affects the corresponding processing time when the product is processed at different processing stages during the processing, and the difference in processing conditions will affect the degree of product processing per unit time during the product processing process; and then calculates It is to quantify the processing status in the bmth stage. The larger the quantification value, the higher the degree of product processing in this stage. tY1 can reflect the optimal initial processing time corresponding to the product processing under the condition of production line equipment line speed V to a certain extent, but this value is not comprehensive because The mean of the deviations of each processing state in the corresponding historical data, directly using tY1, may lead to quality risks in some of the initially processed products. Therefore, by solving ZB t ≤max{ZBn|n∈[1,nw]}, which can realize the secondary calibration of the optimal initial processing time corresponding to the product processing when the production line equipment line speed V is used, thereby making the prediction result more accurate.
[0037] Furthermore, the method for generating the first information in S4 comprises the following steps:
[0038] S4.1. Obtain the line speed adjusted when the production line equipment is turned on, and the analysis result in S3, and obtain the predicted value T of the optimal initial processing time corresponding to the production line equipment processing the product to be processed;
[0039] S4.2, obtain the corresponding standard processing condition set when the production line equipment is turned on, recorded as QT;
[0040] S4.3. Generate first information, where the first information is an array [T, QT] consisting of T and QT;
[0041] The data transmitted to the equipment early warning management center is the 128-bit ciphertext of the array [T, QT] after hash encryption.
[0042] When the device early warning management center receives the 128-bit ciphertext within the first unit time, the device early warning management center generates a feedback result that determines that the information transmission is completed;
[0043] When the equipment early warning management center does not receive the 128-bit ciphertext within the first unit time, the equipment early warning management center generates a feedback result that determines that the information transmission has failed, and it is necessary to retransmit the 128-bit ciphertext [T, QT] after hash encryption to the equipment early warning management center.
[0044] In the process of transmitting data to the equipment early warning management center, the present invention encrypts the transmitted information and adopts the method of transmitting ciphertext to prevent the information from being stolen by a third party during the transmission process, thereby ensuring the security of the transmitted information. At the same time, a feedback mechanism is set to judge the transmission status to avoid deviations in the information transmission process, resulting in incomplete transmitted ciphertext, which makes it impossible for the equipment early warning management center to parse the ciphertext, thereby affecting the control of the production line equipment in the subsequent process.
[0045] Furthermore, in the process of controlling the production line equipment according to the analysis results in S5,
[0046] When the production line equipment is turned on for a period of time equal to T, the equipment early warning management center sends a material feeding and processing reminder to the production line equipment.
[0047] When the production line equipment is turned on for less than T, the equipment early warning management center sends an abnormal processing status warning to the production line equipment.
[0048] An equipment processing data transmission system based on industrial Internet of Things, the system includes the following modules:
[0049] A standard processing condition acquisition module, which acquires the standard line speed of the production line equipment and the standard processing conditions corresponding to each processing stage when the production line equipment processes the product. The standard processing conditions are the processing conditions of the corresponding processing stage when the production line equipment processes the product preset in the database;
[0050] A historical processing data acquisition module, wherein the module acquires the line speed of the production line equipment and the actual processing conditions respectively monitored by the sensors in each processing stage during each product processing of the production line equipment in the historical database at the first processing time t, wherein the line speed indicates the distance the production line conveys the product per unit time when the production line equipment is running;
[0051] An initial processing time analysis module, which analyzes the relationship between the actual processing conditions corresponding to different processing stages in the production line equipment and the first processing time, and predicts the optimal initial processing time corresponding to the processing of the product under different line speeds of the production line equipment;
[0052] A processing information transmission analysis module, wherein the processing information transmission analysis module obtains the line speed adjusted when the production line equipment is turned on, and combines the analysis results in the initial processing time analysis module to predict the optimal initial processing time corresponding to the production line equipment processing the product to be processed, which is recorded as T, generates a first information set, and transmits it to the equipment early warning management module in a hash encryption manner, and determines whether the information transmission is successful based on the feedback results of the equipment early warning management module;
[0053] The equipment early warning management module parses the received encrypted data and manages the production line equipment according to the parsing results.
[0054] Furthermore, the data transmitted by the processing information transmission analysis module to the equipment early warning management center is a 128-bit ciphertext of the first information after being hashed.
[0055] When the device early warning management module receives the 128-bit ciphertext within the first unit time, the device early warning management module generates a feedback result of determining that the information transmission is completed;
[0056] When the equipment early warning management module does not receive the 128-bit ciphertext within the first unit time, the equipment early warning management module generates a feedback result that determines that the information transmission has failed, and the 128-bit ciphertext of the first information after hash encryption needs to be retransmitted to the equipment early warning management module.
[0057] Furthermore, in the process of the equipment early warning management module controlling the production line equipment according to the analysis results,
[0058] When the production line equipment is turned on for a period of time equal to T, the equipment early warning management center sends a material feeding and processing reminder to the production line equipment.
[0059] When the production line equipment is turned on for less than T, the equipment early warning management center sends an abnormal processing status warning to the production line equipment.
[0060] Compared with the prior art, the beneficial effects achieved by the present invention are: the present invention not only monitors the processing conditions of each processing stage in the production line equipment, but also combines the monitoring data in the historical data to analyze the changing relationship between the actual processing conditions and the start-up time of the production line equipment in different processing stages;
[0061] The present invention combines the actual line speed of the production line equipment to predict the optimal initial processing time in the production line equipment, avoiding testing the production line equipment through experimental parts; at the same time, a feedback mechanism is set to promptly determine whether the transmission data is successfully transmitted, and then control the production line equipment, and promptly remind the user of the optimal initial processing time. BRIEF DESCRIPTION OF THE DRAWINGS
[0062] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:
[0063] Figure 1 It is a structural schematic diagram of an equipment processing data transmission system based on industrial Internet of Things of the present invention;
[0064] Figure 2It is a flow chart of a method for transmitting equipment processing data based on industrial Internet of Things according to the present invention. DETAILED DESCRIPTION
[0065] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0066] See also Figure 1-Figure 2 The present invention provides a technical solution: a method for transmitting equipment processing data based on industrial Internet of Things, the method comprising the following steps:
[0067] S1. When the production line equipment processes the product, the standard line speed of the production line equipment and the standard processing conditions corresponding to each processing stage are obtained, and the standard processing condition corresponding to the bth processing stage when the production line equipment processes the product is recorded as Qb, and the corresponding Qb when b is different values are summarized into a blank set to obtain the standard processing condition set Q corresponding to the production line equipment when processing the product, and the standard processing condition is the processing condition of the corresponding processing stage when the production line equipment processes the product preset in the database;
[0068] S2. Obtain the line speed of the production line equipment and the actual processing conditions monitored by the sensors in each processing stage at the first processing time t during each product processing of the production line equipment in the historical database, record the actual processing conditions corresponding to the bth processing stage of the product processed by the production line equipment at the first processing time t in the nth processing process as QntSb, summarize the QntSb corresponding to different values of b into a blank set, and obtain the actual processing condition set QntS corresponding to the product processed by the production line equipment at the first processing time t in the nth processing process, where the line speed represents the distance the production line transmits the product per unit time when the production line equipment is running;
[0069] In this embodiment, the unit time is 1 minute;
[0070] The first processing time t in the process of processing the product for the nth time in S2 represents the time the production line equipment is away from the reference point during the process of processing the product for the nth time, and the reference point represents the start time of the production line equipment during the process of processing the product for the corresponding number of times;
[0071] The line speed of the production line equipment at the first processing time t during the nth processing of the product is recorded as Vn, and the line speed of the production line equipment corresponding to each first processing time of the same number of processing times is the same.
[0072] In this embodiment, if during the third product processing, t∈[0,15], the line speed of the production line equipment at the first processing time t=1 is 3 m / min,
[0073] Then, during the third product processing, the line speed of the production line equipment corresponding to any time point in the first processing time t between [0,15] is 3 m / min;
[0074] S3. Analyze the relationship between the actual processing conditions and the first processing time corresponding to different processing stages in the production line equipment, and predict the optimal initial processing time corresponding to the product processing under different line speeds of the production line equipment;
[0075] The method for analyzing the relationship between the actual processing conditions corresponding to different processing stages in the production line equipment and the first processing time in S3 includes the following steps:
[0076] S3.1. Obtain each actual processing condition set QntS corresponding to the production line equipment in the historical database;
[0077] S3.2. Obtain the average value of the corresponding values of the same element position in each QntS with the same t value, record the average value of the corresponding values of the b-th element position in each QntS with the same t value as PQb, and obtain the corresponding first array, recorded as (t, b, PQb);
[0078] S3.3, constructing a plane rectangular coordinate system with o as the origin, the first processing time as the x-axis and the processing condition as the y-axis;
[0079] S3.4. Classify the first arrays with the same b value into one category to obtain b categories, and obtain the coordinate point corresponding to each first array in each category respectively, and record the coordinate point corresponding to the first array (t, b, PQb) as (t, PQb);
[0080] S3.5. In the plane rectangular coordinate system, mark the coordinate points corresponding to each first array in the bth category, and perform curve fitting on each marked point in the plane rectangular coordinate system according to the activation function model y=r1*σ(x-r2)+r3 preset in the database, and take the fitting curve with the smallest sum of distances to each marked point as the curve fitting result, and record the function corresponding to the curve fitting result as Gb(x), as the relationship between the actual processing conditions corresponding to the bth processing stage in the production line equipment and the first processing time,
[0081] Wherein, r1, r2 and r3 represent the first coefficient, the second coefficient and the third coefficient respectively.
[0082] S3.6. Obtain the relationship between the actual processing conditions corresponding to different processing stages in the production line equipment and the first processing time.
[0083] The method for predicting the optimal initial processing time corresponding to processing products under different line speeds of production line equipment in S3 includes the following steps:
[0084] S3-1, obtain the length corresponding to the b-th processing stage of the production line equipment, recorded as Lb;
[0085] S3-2, obtain the first processing time corresponding to the first qualified product produced by the production line equipment during the nth processing in the historical data and passing through the starting point of the first stage, recorded as td, and obtain the line speed Vn of the production line equipment at the first processing time t during the process of processing the nth product;
[0086] S3-3, obtaining the first processing time interval [tnbm1, tnbm2] corresponding to the first processing time of the first qualified product produced by the production line equipment in the nth processing process in the historical data through the bmth stage, Said
[0087] S3-4, obtain the processing state deviation Zn of the product by the production line equipment in [tnbm1, tnbm2] bm ,
[0088]
[0089] S3-5, obtaining the processing state deviations corresponding to each stage of the first qualified product produced during the nth processing of the production line equipment in the historical data, and recording the maximum value of the ratio of any two processing state deviations among the obtained processing state deviations as the maximum deviation ratio ZBn;
[0090] S3-6, predict the optimal initial processing time tY corresponding to the product processing when the production line equipment line speed V is used,
[0091] In the process of predicting tY, ZP is used to represent the average value of the deviations of each processing state obtained when V is substituted into Vn and tY is substituted into td. The value of tY at that time is recorded as tY1, nw represents the total number of times the production line equipment processes products in the historical database, bw represents the total number of all production stages in the production line equipment,
[0092] Get the maximum deviation ratio ZB corresponding to the t value when t≥tY1 t ≤max{ZBn|n∈[1,nw]} corresponds to the range of t, denoted as H,
[0093] When H is not empty, max{ZB t |t≥tY1} corresponding to the t value, denoted as tY,
[0094] When H is empty, tY=tY1;
[0095] The max{ZBn|n∈[1,nw]} represents the maximum value of each ZBn corresponding to different values of n. t |t≥tY1} means that when t≥tY1, the maximum deviation ratio ZB corresponding to the t value t The maximum value in .
[0096] S4, obtaining the line speed adjusted when the production line equipment is turned on, combining the analysis results in S3, predicting the optimal initial processing time corresponding to the production line equipment processing the product to be processed, recorded as T, generating a first information set, and transmitting it to the equipment early warning management center in a hash encryption manner, and judging whether the information transmission is successful based on the feedback result of the equipment early warning management center;
[0097] The method for generating the first information in S4 comprises the following steps:
[0098] S4.1. Obtain the line speed adjusted when the production line equipment is turned on, and the analysis result in S3, and obtain the predicted value T of the optimal initial processing time corresponding to the production line equipment processing the product to be processed;
[0099] S4.2, obtain the corresponding standard processing condition set when the production line equipment is turned on, recorded as QT;
[0100] S4.3. Generate first information, where the first information is an array [T, QT] consisting of T and QT;
[0101] The data transmitted to the equipment early warning management center is the 128-bit ciphertext of the array [T, QT] after hash encryption.
[0102] When the device early warning management center receives the 128-bit ciphertext within the first unit time, the device early warning management center generates a feedback result that determines that the information transmission is completed;
[0103] When the equipment early warning management center does not receive the 128-bit ciphertext within the first unit time, the equipment early warning management center generates a feedback result that determines that the information transmission has failed, and it is necessary to retransmit the 128-bit ciphertext [T, QT] after hash encryption to the equipment early warning management center.
[0104] S5. The equipment early warning management center parses the received encrypted data and controls the production line equipment based on the analysis results.
[0105] In the process of controlling the production line equipment according to the analysis results in S5,
[0106] When the production line equipment is turned on for a period of time equal to T, the equipment early warning management center sends a material feeding and processing reminder to the production line equipment.
[0107] When the production line equipment is turned on for less than T, the equipment early warning management center sends an abnormal processing status warning to the production line equipment.
[0108] An equipment processing data transmission system based on industrial Internet of Things, the system includes the following modules:
[0109] A standard processing condition acquisition module, which acquires the standard line speed of the production line equipment and the standard processing conditions corresponding to each processing stage when the production line equipment processes the product. The standard processing conditions are the processing conditions of the corresponding processing stage when the production line equipment processes the product preset in the database;
[0110] A historical processing data acquisition module, wherein the module acquires the line speed of the production line equipment and the actual processing conditions respectively monitored by the sensors in each processing stage during each product processing of the production line equipment in the historical database at the first processing time t, wherein the line speed indicates the distance the production line conveys the product per unit time when the production line equipment is running;
[0111] An initial processing time analysis module, which analyzes the relationship between the actual processing conditions corresponding to different processing stages in the production line equipment and the first processing time, and predicts the optimal initial processing time corresponding to the processing of the product under different line speeds of the production line equipment;
[0112] A processing information transmission analysis module, wherein the processing information transmission analysis module obtains the line speed adjusted when the production line equipment is turned on, and combines the analysis results in the initial processing time analysis module to predict the optimal initial processing time corresponding to the production line equipment processing the product to be processed, which is recorded as T, generates a first information set, and transmits it to the equipment early warning management module in a hash encryption manner, and determines whether the information transmission is successful based on the feedback results of the equipment early warning management module;
[0113] The equipment early warning management module parses the received encrypted data and manages the production line equipment according to the parsing results.
[0114] The data transmitted by the processing information transmission analysis module to the equipment early warning management center is the 128-bit ciphertext of the first information after hash encryption.
[0115] When the device early warning management module receives the 128-bit ciphertext within the first unit time, the device early warning management module generates a feedback result of determining that the information transmission is completed;
[0116] When the equipment early warning management module does not receive the 128-bit ciphertext within the first unit time, the equipment early warning management module generates a feedback result that determines that the information transmission has failed, and the 128-bit ciphertext of the first information after hash encryption needs to be retransmitted to the equipment early warning management module.
[0117] The equipment early warning management module controls the production line equipment according to the analysis results.
[0118] When the production line equipment is turned on for a period of time equal to T, the equipment early warning management center sends a material feeding and processing reminder to the production line equipment.
[0119] When the production line equipment is turned on for less than T, the equipment early warning management center sends an abnormal processing status warning to the production line equipment.
[0120] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.
[0121] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.
Claims
1. A method for transmitting equipment processing data based on industrial Internet of Things, It is characterized in that The method comprises the following steps: S1. When the production line equipment processes the product, the standard line speed of the production line equipment and the standard processing conditions corresponding to each processing stage are obtained, and the standard processing condition corresponding to the bth processing stage when the production line equipment processes the product is recorded as Qb, and the corresponding Qb when b is different values are summarized into a blank set to obtain the standard processing condition set Q corresponding to the production line equipment when processing the product, and the standard processing condition is the processing condition of the corresponding processing stage when the production line equipment processes the product preset in the database; S2. Obtain the line speed of the production line equipment and the actual processing conditions monitored by the sensors in each processing stage at the first processing time t during each product processing of the production line equipment in the historical database, record the actual processing conditions corresponding to the bth processing stage of the product processed by the production line equipment at the first processing time t in the nth processing process as QntSb, summarize the QntSb corresponding to different values of b into a blank set, and obtain the actual processing condition set QntS corresponding to the product processed by the production line equipment at the first processing time t in the nth processing process, where the line speed represents the distance the production line transmits the product per unit time when the production line equipment is running; S3. Analyze the relationship between the actual processing conditions and the first processing time corresponding to different processing stages in the production line equipment, and predict the optimal initial processing time corresponding to the product processing under different line speeds of the production line equipment; The method for predicting the optimal initial processing time corresponding to processing products under different line speeds of production line equipment in S3 includes the following steps: S3-1, obtain the length corresponding to the b-th processing stage of the production line equipment, recorded as Lb; S3-2, obtain the first processing time corresponding to the first qualified product produced by the production line equipment during the nth processing in the historical data and passing through the starting point of the first stage, recorded as td, and obtain the line speed Vn of the production line equipment at the first processing time t during the process of processing the nth product; S3-3, obtaining the first processing time interval [tnbm1, tnbm2] corresponding to the first processing time of the first qualified product produced by the production line equipment in the nth processing process in the historical data through the bmth stage, Said S3-4, obtain the processing state deviation Zn of the product by the production line equipment in [tnbm1, tnbm2] bm , Gb(χ) is the relationship between the actual processing conditions corresponding to the bth processing stage in the production line equipment and the first processing time; S3-5, obtaining the processing state deviations corresponding to each stage of the first qualified product produced during the nth processing of the production line equipment in the historical data, and recording the maximum value of the ratio of any two processing state deviations among the obtained processing state deviations as the maximum deviation ratio ZBn; S3-6, predict the optimal initial processing time tY corresponding to the product processing when the production line equipment line speed V is used, In the process of predicting tY, ZP is used to represent the average value of the deviations of each processing state obtained when V is substituted into Vn and tY is substituted into td. The value of tY at that time is recorded as tY1, nw represents the total number of times the production line equipment processes products in the historical database, bw represents the total number of all production stages in the production line equipment, Get the maximum deviation ratio ZB corresponding to the t value when t≥tY1 t ≤max{ZBn|n∈[1,nw]} corresponds to the range of t, denoted as H, When H is not empty, max{ZB t |t≥tY1} corresponding to the t value, denoted as tY, When H is empty, tY=tY1; The max{ZBn|n∈[1,nw]} represents the maximum value of each ZBn corresponding to different values of n. t |t≥tY1} means that when t≥tY1, the maximum deviation ratio ZB corresponding to the t value t The maximum value in ; S4, obtaining the line speed adjusted when the production line equipment is turned on, combining the analysis results in S3, predicting the optimal initial processing time corresponding to the production line equipment processing the product to be processed, recorded as T, generating a first information set, and transmitting it to the equipment early warning management center in a hash encryption manner, and judging whether the information transmission is successful based on the feedback results of the equipment early warning management center; S5. The equipment early warning management center parses the received encrypted data and controls the production line equipment based on the analysis results.
2. According to the method for transmitting equipment processing data based on industrial Internet of Things in claim 1, Features: The first processing time t in the process of processing the product for the nth time in S2 represents the time the production line equipment is away from the reference point during the process of processing the product for the nth time, and the reference point represents the start time of the production line equipment during the process of processing the product for the corresponding number of times; The line speed of the production line equipment at the first processing time t during the nth processing of the product is recorded as Vn, and the line speed of the production line equipment corresponding to each first processing time of the same number of processing times is the same.
3. According to the method for transmitting equipment processing data based on industrial Internet of Things in claim 1, Features: The method for analyzing the relationship between the actual processing conditions corresponding to different processing stages in the production line equipment and the first processing time in S3 includes the following steps: S3.
1. Obtain each actual processing condition set QntS corresponding to the production line equipment in the historical database; S3.
2. Obtain the average value of the corresponding values of the same element position in each QntS with the same t value, record the average value of the corresponding values of the b-th element position in each QntS with the same t value as PQb, and obtain the corresponding first array, recorded as (t, b, PQb); S3.3, constructing a plane rectangular coordinate system with o as the origin, the first processing time as the x-axis and the processing condition as the y-axis; S3.
4. Classify the first arrays with the same b value into one category to obtain b categories, and obtain the coordinate point corresponding to each first array in each category respectively, and record the coordinate point corresponding to the first array (t, b, PQb) as (t, PQb); S3.
5. In the plane rectangular coordinate system, mark the coordinate points corresponding to each first array in the bth category, and perform curve fitting on each marked point in the plane rectangular coordinate system according to the activation function model y=r1*σ(x-r2)+r3 preset in the database, and take the fitting curve with the smallest sum of distances to each marked point as the curve fitting result, and record the function corresponding to the curve fitting result as Gb(x). Wherein, r1, r2 and r3 represent the first coefficient, the second coefficient and the third coefficient respectively. S3.
6. Obtain the relationship between the actual processing conditions corresponding to different processing stages in the production line equipment and the first processing time.
4. According to the method for transmitting equipment processing data based on industrial Internet of Things in claim 1, Features: The method for generating the first information in S4 comprises the following steps: S4.
1. Obtain the line speed adjusted when the production line equipment is turned on, and the analysis result in S3, and obtain the predicted value T of the optimal initial processing time corresponding to the production line equipment processing the product to be processed; S4.2, obtain the corresponding standard processing condition set when the production line equipment is turned on, recorded as QT; S4.
3. Generate first information, where the first information is an array [T, QT] consisting of T and QT; The data transmitted to the equipment early warning management center is the 128-bit ciphertext of the array [T, QT] after hash encryption. When the device early warning management center receives the 128-bit ciphertext within the first unit time, the device early warning management center generates a feedback result that determines that the information transmission is completed; When the equipment early warning management center does not receive the 128-bit ciphertext within the first unit time, the equipment early warning management center generates a feedback result that determines that the information transmission has failed, and it is necessary to retransmit the 128-bit ciphertext [T, QT] after hash encryption to the equipment early warning management center.
5. According to the method for transmitting equipment processing data based on industrial Internet of Things in claim 1, Features: In the process of controlling the production line equipment according to the analysis results in S5, When the production line equipment is turned on for a period of time equal to T, the equipment early warning management center sends a material feeding and processing reminder to the production line equipment. When the production line equipment is turned on for less than T, the equipment early warning management center sends an abnormal processing status warning to the production line equipment.
6. A device processing data transmission system based on industrial Internet of Things, which is implemented by using a device processing data transmission method based on industrial Internet of Things as described in any one of claims 1 to 5, It is characterized in that The system includes the following modules: A standard processing condition acquisition module, which acquires the standard line speed of the production line equipment and the standard processing conditions corresponding to each processing stage when the production line equipment processes the product. The standard processing conditions are the processing conditions of the corresponding processing stage when the production line equipment processes the product preset in the database; A historical processing data acquisition module, wherein the module acquires the line speed of the production line equipment and the actual processing conditions respectively monitored by the sensors in each processing stage during each product processing of the production line equipment in the historical database at the first processing time t, wherein the line speed indicates the distance the production line conveys the product per unit time when the production line equipment is running; An initial processing time analysis module, which analyzes the relationship between the actual processing conditions corresponding to different processing stages in the production line equipment and the first processing time, and predicts the optimal initial processing time corresponding to the processing of the product under different line speeds of the production line equipment; A processing information transmission analysis module, wherein the processing information transmission analysis module obtains the line speed adjusted when the production line equipment is turned on, and combines the analysis results in the initial processing time analysis module to predict the optimal initial processing time corresponding to the production line equipment processing the product to be processed, which is recorded as T, generates a first information set, and transmits it to the equipment early warning management module in a hash encryption manner, and determines whether the information transmission is successful based on the feedback results of the equipment early warning management module; The equipment early warning management module parses the received encrypted data and manages the production line equipment according to the parsing results.
7. According to claim 6, a device processing data transmission system based on industrial Internet of Things, Features: The data transmitted by the processing information transmission analysis module to the equipment early warning management center is the 128-bit ciphertext of the first information after hash encryption. When the device early warning management module receives the 128-bit ciphertext within the first unit time, the device early warning management module generates a feedback result of determining that the information transmission is completed; When the equipment early warning management module does not receive the 128-bit ciphertext within the first unit time, the equipment early warning management module generates a feedback result that determines that the information transmission has failed, and the 128-bit ciphertext of the first information after hash encryption needs to be retransmitted to the equipment early warning management module.
8. According to claim 6, a device processing data transmission system based on industrial Internet of Things, Features: In the process of the equipment early warning management module controlling the production line equipment according to the analysis results, When the production line equipment is turned on for a period of time equal to T, the equipment early warning management center sends a material feeding and processing reminder to the production line equipment. When the production line equipment is turned on for less than T, the equipment early warning management center sends an abnormal processing status warning to the production line equipment.