Big data-based veterinary medicine pipe body injection molding management control system

Abstract

The application provides a big data-based veterinary medicine pouring tube body injection molding management control system, which comprises a data reading module, a distributed matching module, a judgment module, a data encryption module, a model construction module, a variable control module and an injection molding blockchain. Veterinary medicine pouring tube body injection molding production data is acquired, the injection molding production data is pretreated by an injection molding machine or an edge server, and the edge server judges and corrects the pretreatment results of each injection molding machine; injection molding production feature data is obtained after pretreatment, the production feature data is multi-layer encrypted, and is uploaded to the injection molding blockchain; an injection molding machine operation model is constructed, the injection molding production feature data is changed according to a preset rule, the actual operation states of all injection molding machines are simulated, and a control strategy for the veterinary medicine pouring tube body injection molding production is obtained. The application improves the data processing efficiency, reduces the system time delay, strengthens the data transmission safety, ensures the injection molding production efficiency and management efficiency.

Description

TECHNICAL FIELD

[0001] The application relates to the fields of injection molding and big data analysis, and in particular to a big data-based injection molding management control system for a veterinary medicine pouring tube body. BACKGROUND

[0002] An injection molding machine is a main molding equipment for making various plastic products from thermoplastic or thermosetting plastics by using a plastic molding die. The injection molding machine can heat plastic raw materials and apply high pressure to the molten plastic raw materials to fill the mold cavity. Therefore, the injection molding machine is an indispensable production equipment in the current manufacturing industry.

[0003] At present, the production management of most injection molding machines is mostly through the opening and closing times displayed by the machine table and manual recording and statistical production data. There is no relatively accurate data analysis of the production quality and productivity of the production process. The production cognition of products is mostly at the theoretical level. The resource consumption in actual application production is different from the theoretical data for different products or different machines. Therefore, most manufacturers cannot better utilize the injection molding machine to produce products or effectively plan the production of their products, resulting in certain resource waste.

[0004] Chinese patent application No. CN202111283487.5, published on January 18, 2022, discloses a shared injection molding production management system based on Internet+, which comprises a server, a background management system, a front-end management system, an Internet+ injection molding machine, characterized in that the background management system, the front-end management system and the Internet+ injection molding machine realize data exchange with the server through Internet+. The injection molding machine for the shared injection molding production management system based on Internet+ comprises an injection conduit, an injection head movably connected to the outer side of the injection conduit, and a connecting block fixedly connected to the outer side of the injection conduit. The injection molding liquid on the inner wall of the injection head is prevented from solidifying and accumulating due to long-term use, the injection molding liquid in the injection head is pushed out by the injection push rod, the injection head is prevented from being blocked, time and labor are saved when the injection head is cleaned manually, the service life of the injection head is improved, and the working efficiency of the injection molding machine is improved.

[0005] However, the application inventors found at least the following technical problems in the process of implementing the application technical solutions in the embodiments: the system does not solve the processing efficiency and time delay of big data, the security problem in the data transmission process, and the injection molding production efficiency and management efficiency need to be improved. SUMMARY

[0006] The present application provides a big data-based veterinary medicine infusion tube injection molding management control system, which solves the existing technical problems: the system does not solve the data processing efficiency and time delay problem, the data transmission process safety problem, and the injection molding production efficiency and management efficiency needs to be improved. The data processing efficiency is improved, the system time delay is reduced, the data transmission safety is enhanced, and the injection molding production efficiency and management efficiency are ensured.

[0007] The present application provides a big data-based veterinary medicine infusion tube injection molding management control system, which solves the existing technical problems: the system does not solve the data processing efficiency and time delay problem, the data transmission process safety problem, and the injection molding production efficiency and management efficiency needs to be improved. The data processing efficiency is improved, the system time delay is reduced, the data transmission safety is enhanced, and the injection molding production efficiency and management efficiency are ensured.

[0008] A big data-based veterinary medicine infusion tube injection molding management control system comprises the following parts:

[0009] Data reading module, distributed matching module, evaluation module, data encryption module, model construction module, variable control module and injection molding blockchain;

[0010] The data reading module is used to obtain all injection molding machine parameter information in the veterinary medicine infusion tube injection molding process, and obtain real-time veterinary medicine infusion tube injection molding production data in each batch production process according to the injection molding machine parameter information of each terminal injection molding machine. The data reading module sends the veterinary medicine infusion tube injection molding production data to the distributed matching module through data transmission.

[0011] The distributed matching module is used to select to retain injection molding production feature data in the injection molding machine for preprocessing or send the injection molding production feature data to an edge server for preprocessing according to the calculation efficiency of the injection molding machine. The distributed matching module sends the matching result to the evaluation module through data transmission.

[0012] The evaluation module is used to evaluate the preprocessing result of each injection molding machine. If the accuracy of the preprocessing result of the injection molding machine is lower than expected, the result is not reliable, and the corresponding data needs to be sent to the edge server for reprocessing. The evaluation module sends a data application instruction to the data reading module, sends the injection molding machine id with an unreliable evaluation result to the data reading module, applies for obtaining the corresponding injection molding production data, and sends the data application instruction to the data reading module through data transmission. The evaluation module sends the preprocessed injection molding production feature data to the data encryption module through data transmission.

[0013] The data encryption module is used for data encryption of injection molding production feature data, and then uploads the encrypted production data to the injection molding blockchain. The data encryption module is connected with the injection molding blockchain through data transmission.

[0014] The model construction module is configured to obtain historical data in the injection molding blockchain to construct an injection molding machine operation model, simulate the operation state of the injection molding machine, control injection molding production characteristic data to change according to a preset rule, simulate the actual operation state of each injection molding machine, and obtain the influence between different parameters. The model construction module sends the injection molding machine operation model to the variable control module through data transmission.

[0015] The variable control module is configured to adjust variable parameters according to the output value of the current injection molding machine operation model, thereby obtaining all solutions of the injection molding machine operation target function, forming a plurality of control strategies for veterinary medicine infusion tube body injection molding production, and storing the control strategies for veterinary medicine infusion tube body injection molding production in the injection molding blockchain. The variable control module is connected to the injection molding blockchain through data transmission.

[0016] The injection molding blockchain is configured to store injection molding production characteristic data of the tube body. The injection molding blockchain sends the stored historical data to the model construction module.

[0017] A veterinary medicine infusion tube body injection molding management control method based on big data includes the following steps:

[0018] S1. Obtain veterinary medicine infusion tube body injection molding production data, pre-process the injection molding production data by an injection molding machine or an edge server, and judge and correct the pre-processing results of each injection molding machine by the edge server.

[0019] S2. Obtain injection molding production characteristic data by pre-processing, encrypt the production characteristic data in multiple layers, and upload to the injection molding blockchain.

[0020] S3. Construct an injection molding machine operation model, simulate the actual operation state of each injection molding machine by controlling injection molding production characteristic data to change according to a preset rule, and obtain a control strategy for veterinary medicine infusion tube body injection molding production.

[0021] Further, the step S1 includes:

[0022] The data pre-processing results of the injection molding machine are sent to the edge server, and the pre-processing results of each injection molding machine are judged by the edge server. The information entropy of the injection molding machine processing result is used as the basis for judgment.

[0023] Further, the step S2 includes:

[0024] The veterinary medicine infusion tube body injection molding production characteristic data is encrypted in batches, and then the encrypted production characteristic data is uploaded to the injection molding blockchain.

[0025] Further, the step S3 includes:

[0026] The injection molding machine operation model is constructed, the actual operation state of each injection molding machine is simulated by controlling the injection molding production characteristic data to change according to preset rules, the influence between different parameters is obtained, and thus the injection molding production process of the veterinary medicine pouring pipe body is facilitated to be managed and controlled.

[0027] Further, the data encryption method is:

[0028] Firstly, the veterinary medicine pouring pipe body injection molding production characteristic data is preliminarily divided according to different meanings of data representation; then, each preliminarily divided data block is secondarily divided, and the preliminarily divided data block is randomly divided into a plurality of small data blocks; the small data blocks are randomly combined into a plurality of arrays, each small data block in each array is encrypted in sequence, encrypted data blocks are obtained, and then the entire array is encrypted; then, the positions of the small data blocks in each array are randomly changed, each small data block in the changed array is encrypted in sequence, and then the entire changed array is encrypted, to obtain array encryption data before and after the change; the order of the small data blocks in the array before and after the change is encrypted, to obtain order encryption data, and the order encryption data, the array encryption data and the preliminarily divided data block are encrypted together, so that the veterinary medicine pouring pipe body injection molding production characteristic data encryption of the current batch is completed.

[0029] The present application has at least the following technical effects or advantages:

[0030] 1. The edge server cooperates with the terminal injection molding machine to process data, improves the utilization rate and data processing efficiency of the edge server, and reduces the system time delay;

[0031] 2. The data is encrypted by multiple data division methods, the security of the encrypted veterinary medicine pouring pipe body injection molding production characteristic data is higher, the flexible production is better adapted, data loss is avoided, and the production data is analyzed and the pipe body injection process is traced in the later period;

[0032] 3. All small data blocks and their order are encrypted by the same encryption method, encryption processing can be performed at the same time, the encryption processing speed is accelerated, and the data security protection efficiency is improved;

[0033] 4. The actual operation state of each injection molding machine is simulated by controlling the injection molding production characteristic data to change according to preset rules, the control strategy of the veterinary medicine pouring pipe body injection molding production is obtained, the quality of the pipe body injection is predicted, the injection quality of the veterinary medicine pouring pipe body is improved according to the control strategy, and the production efficiency is improved;

[0034] 5、The technical scheme of the present application can effectively solve the technical problems: the system does not solve the processing efficiency and time delay problem of big data, the security problem of data transmission process, and the injection molding production efficiency and management efficiency needs to be improved. And the above system or method has undergone a series of effect research, through verification, the data processing efficiency can be improved, the system time delay can be reduced, the data transmission security can be strengthened, and the injection molding production efficiency and management efficiency can be ensured. BRIEF DESCRIPTION OF DRAWINGS

[0035] Figure 1 The structure diagram of the injection molding management control system for the veterinary medicine infusion tube body based on big data of the present application;

[0036] Figure 2 The flow chart of the injection molding management control method for the veterinary medicine infusion tube body based on big data of the present application. DETAILED DESCRIPTION

[0037] The present application embodiment provides an injection molding management control system for the veterinary medicine infusion tube body based on big data, which solves the problems in the prior art: the system does not solve the processing efficiency and time delay problem of big data, the security problem of data transmission process, and the injection molding production efficiency and management efficiency needs to be improved.

[0038] The technical scheme in the present application embodiment is to solve the above problems, and the general idea is as follows:

[0039] The edge server cooperates with the terminal injection molding machine to process data, which improves the utilization rate and data processing efficiency of the edge server and reduces the system time delay; a plurality of data division methods are combined to perform multi-layer encryption on the data, so that the security of the encrypted veterinary medicine infusion tube body injection molding production feature data is higher, which can better adapt to flexible production, avoid data loss, and facilitate analysis of production data and tracing of the tube body injection molding process; all small data blocks and their order are encrypted by using the same encryption method, which can be encrypted and processed at the same time, speeding up the encryption processing speed and improving the data security protection efficiency; the injection molding production feature data is controlled to change according to the preset rules, the actual running state of each injection molding machine is simulated, the control strategy of the veterinary medicine infusion tube body injection molding production is obtained, the quality of the tube body injection molding can be predicted, and then the injection molding quality of the veterinary medicine infusion tube body is improved according to the control strategy, and the production efficiency is improved.

[0040] In order to better understand the above technical scheme, the above technical scheme will be described in detail in combination with the drawings of the specification and the specific embodiments.

[0041] Referring to the drawings, Figure 1 The injection molding management control system for the veterinary medicine infusion tube body based on big data comprises the following parts:

[0042] The data reading module 10, the distributed matching module 20, the evaluation module 30, the data encryption module 40, the model construction module 50, the variable control module 60 and the injection molding blockchain 70;

[0043] The data reading module 10 is used to obtain all injection molding machine parameter information in the injection molding process of the veterinary medicine infusion tube body, and obtain real-time veterinary medicine infusion tube body injection molding production data generated in each batch production process according to the injection molding machine parameter information of each terminal injection molding machine. The data reading module 10 sends the veterinary medicine infusion tube body injection molding production data to the distributed matching module 20 through data transmission.

[0044] The distributed matching module 20 is used to select to retain the injection molding production feature data in the injection molding machine for preprocessing or send the injection molding production feature data to the edge server for preprocessing according to the calculation efficiency of the injection molding machine. The distributed matching module 20 sends the matching result to the evaluation module 30 through data transmission.

[0045] The evaluation module 30 is used to evaluate the preprocessing result of each injection molding machine. If the accuracy of the preprocessing result of the injection molding machine is lower than expected, the result is not reliable, and the corresponding data needs to be sent to the edge server for re-preprocessing. The evaluation module 30 sends a data application instruction to the data reading module 10, sends the injection molding machine id with unreliable evaluation result to the data reading module 10, applies for obtaining the corresponding injection molding production data, and sends the data application instruction to the data reading module 10 through data transmission. The evaluation module 30 sends the preprocessed injection molding production feature data to the data encryption module 40 through data transmission.

[0046] The data encryption module 40 is used for data encryption of the injection molding production feature data, and then uploads the encrypted production data to the injection molding blockchain 70. The data encryption module 40 is connected with the injection molding blockchain 70 through data transmission.

[0047] The model construction module 50 is used to obtain historical data in the injection molding blockchain 70 to construct an injection molding machine operation model. By simulating the operation state of the injection molding machine, the injection molding production feature data is controlled to change according to a preset rule, the actual operation state of each injection molding machine is simulated, the influence between different parameters is obtained, so as to facilitate management and control of the veterinary medicine infusion tube body injection molding production process. The model construction module 50 sends the injection molding machine operation model to the variable control module 60 through data transmission.

[0048] The variable control module 60 is used to adjust the variable parameters according to the output value of the current injection molding machine operation model, so as to obtain all solutions of the injection molding machine operation target function, form a plurality of control strategies for veterinary medicine infusion tube body injection molding production, and store the control strategies for veterinary medicine infusion tube body injection molding production into the injection molding blockchain 70; the variable control module 60 is connected with the injection molding blockchain 70 through data transmission.

[0049] The injection molding blockchain 70 is used for safely storing the injection molding production feature data of the tube body, avoiding data loss, so as to analyze the production data and trace the tube body injection molding process in the future; the injection molding blockchain 70 sends the stored historical data to the model construction module 50.

[0050] Referring to the accompanying drawings Figure 2 The veterinary medicine infusion tube body injection molding management control method based on big data comprises the following steps:

[0051] S1. Obtain the veterinary medicine infusion tube body injection molding production data, and pre-process the injection molding production data by the injection molding machine or the edge server; the edge server judges and corrects the pre-processing results of each injection molding machine.

[0052] All injection molding machine parameter information in the veterinary medicine infusion tube body injection molding process is obtained by the data reading module 10, and each injection molding machine parameter information corresponds to each injection molding machine currently connected to the veterinary medicine infusion tube body injection molding management system. The injection molding machine parameter information is divided into four categories: machine parameter data, production alarm data, injection molding parameter data and tube body quality data. The machine parameter data includes injection molding machine model, IP address, machine service life, production cycle and other related parameters; the production alarm data includes maximum injection volume, rated voltage, clamping force, cooling temperature range; the injection molding parameter data includes injection pressure, injection temperature, holding pressure, holding time and back pressure; and the tube body quality data includes the number of qualified veterinary medicine infusion tube bodies and the number of unqualified veterinary medicine infusion tube bodies produced by the injection molding machine.

[0053] During the injection molding production cycle of each batch of veterinary medicine infusion tube bodies, the data reading module 10 on the edge server obtains the veterinary medicine infusion tube body injection molding production data generated in real time during the production process of each batch according to the injection molding machine parameter information of each terminal injection molding machine. The data reading module 10 collects the veterinary medicine infusion tube body injection molding production data in real time. In order to improve the data processing efficiency, the distributed matching module 20 selects to retain the injection molding production feature data in the injection molding machine for pre-processing or send it to the edge server for pre-processing according to the calculation efficiency of the injection molding machine. The pre-processing method adopts the existing technology, which will not be described in detail herein; and the calculation efficiency of the injection molding machine is determined according to the actual situation.

[0054] Due to the resource limitation of the injection molding machine, there may be insufficient calculation accuracy, so the data preprocessing result of the injection molding machine needs to be sent to the edge server, and the preprocessing result of each injection molding machine is judged by the judgment module 30 of the edge server, and the information entropy of the injection molding machine processing result is taken as the judgment basis. The judgment method is as follows:

[0055]

[0056] Among them, Y(p) is the information entropy of the probability vector, p c is the probability vector of the cth processing result, |C| is the number of all processing results, c∈[1,|C|]. Set the judgment threshold, if Y(p) is less than the judgment threshold, it means that the correctness of the preprocessing result of the injection molding machine is higher than expected, which can be used; otherwise, the correctness of the preprocessing result of the injection molding machine is lower than expected, and the result is not reliable, and the corresponding data needs to be sent to the edge server for reprocessing.

[0057] The beneficial effect of the step S1 is that the edge server cooperates with the terminal injection molding machine to jointly process data, which improves the utilization rate and data processing efficiency of the edge server, and reduces the system delay.

[0058] S2. Obtain the injection molding production feature data through preprocessing, encrypt the production feature data in multiple layers, and upload to the injection molding blockchain;

[0059] The injection molding production feature data is obtained through preprocessing, and the veterinary medicine injection tube body injection production feature data is sent to the data encryption module 40 for data encryption in batches, and then the encrypted production feature data is uploaded to the injection molding blockchain 70. The injection molding production feature data of the tube body is securely stored by using the blockchain, avoiding data loss, so as to analyze the production data and trace the tube body injection process in the later period.

[0060] Specifically, the current batch of veterinary medicine injection tube body injection production feature data includes the injection molding parameter data, machine parameter data, tube body quality data and production alarm data corresponding to the injection molding machine of the veterinary medicine injection tube body. The actual value in the tube body injection process corresponding to the production alarm data; The actual injection amount, actual voltage, actual clamping force and actual cooling temperature in the actual injection process corresponding to the production alarm data.

[0061] Further, the data encryption method adopted by the tube body data encryption module 40 is:

[0062] First, the veterinary medicine injection tube body injection production feature data ipd i According to the different meanings of data representation, four preliminary division data blocks pdb are obtained, ipd iThe injection molding production characteristic data of the i th veterinary medicine administration tube body is represented; then, the preliminary division data block is divided again, and the preliminary division data block is randomly divided into a plurality of small data blocks sdb. The small data blocks are randomly combined into a plurality of arrays, each small data block in each array is encrypted in sequence, encrypted data blocks are obtained, and then the entire array is encrypted. Next, the positions of the small data blocks in each array are randomly transformed, each small data block in the transformed array is encrypted in sequence, and then the entire transformed array is encrypted, to obtain array encryption data before and after transformation. The order of the small data blocks in the arrays before and after transformation is encrypted to obtain order encryption data, and the order encryption data, the array encryption data, and the preliminary division data block are encrypted together, thereby completing the encryption of the injection molding production characteristic data of the veterinary medicine administration tube body in the current batch. The encryption formula is:

[0063]

[0064] wherein H (ipd i ) represents the encryption result of the injection molding production characteristic data ipd i of the veterinary medicine administration tube body, H represents an encryption algorithm, represents the m th small data block in the n th array, represents the m' th small data block after position transformation of the small data blocks in the n th array, m' ∈ [1, M], m ∈ [1, M], n ∈ [1, N], bo n represents the order of the small data blocks in the n th array before position transformation, ((bo)' n represents the order of the small data blocks in the n th array after position transformation, pdb r represents the r th preliminary division data block, r ∈ [1, 4]. The function value obtained by the encryption operation serves as an injection molding production data query mark of the corresponding veterinary medicine administration tube body, thereby facilitating the retrieval of the injection molding production data of the veterinary medicine administration tube body.

[0065] The step S2 has the beneficial effect that the data is encrypted in multiple layers through the combination of multiple data division methods, so that the veterinary medicine administration tube body injection molding production characteristic data after encryption has higher security, can better adapt to flexible production, avoids data loss, and facilitates the analysis of production data and the tracing of the tube body injection molding process in the later stage.

[0066] S3. An injection molding machine operation model is constructed, the injection molding production characteristic data is controlled to change according to a preset rule, the actual operation state of each injection molding machine is simulated, and a control strategy for the veterinary medicine administration tube body injection molding production is obtained.

[0067] The model construction module 50 obtains historical data in the injection molding blockchain 70 to construct an injection molding machine operation model. By controlling the injection molding production feature data to change according to a preset rule, the actual operation state of each injection molding machine is simulated, the influence between different parameters is obtained, and the injection molding production process of the veterinary medicine pouring pipe body is facilitated to be managed and controlled.

[0068] The veterinary medicine pouring pipe body injection molding production feature data is represented as ipd i i i i i , wherein imp i represents the injection molding parameter data of the i-th veterinary medicine pouring pipe body, mp i represents the machine parameter data of the i-th veterinary medicine pouring pipe body, mp i represents the pipe body quality data of the i-th veterinary medicine pouring pipe body, and mp i represents the production alarm data of the i-th veterinary medicine pouring pipe body. Among them, the variable parameters in the injection molding machine operation module are injection molding parameter data and production alarm data, and the invariable parameter is machine parameter data. The invariable parameter changes relatively slowly compared with the variable parameter, and is not completely invariable. The injection molding machine operation model is represented as:

[0069] pa i = F(imp i , mp i , tm i )

[0070] Among them, F is the injection molding production relationship function. The machine parameter data, injection molding parameter data and production alarm data in the current pipe body injection molding production process are input into the model to obtain the pipe body quality data.

[0071] According to the injection molding machine operation model, an injection molding machine operation objective function and a constraint condition are constructed, and the objective function is:

[0072] max pa i = max F(imp i , mp i , tm i )

[0073] s.t. iv≤iv max

[0074] cf min ≤ cf ≤ cf max

[0075] ct min ≤ ct ≤ ct max

[0076] inp​​​​min ≤ inp≤ inp max

[0077] int min ≤ int≤ int max

[0078] hp min ≤ hp≤ hp max

[0079] ht min ≤ ht≤ ht max

[0080] Wherein, s.t. represents a constraint condition, iv represents an injection volume, iv max represents a maximum injection volume, cf represents a clamping force, cf min and cf max respectively represent upper and lower limits of the clamping force, ct represents a cooling temperature, ct min and ct max respectively represent upper and lower limits of the cooling temperature, inp represents an injection pressure, inp min and inp max respectively represent upper and lower limits of the injection pressure, int represents an injection temperature, int min and int max respectively represent upper and lower limits, hp represents a holding pressure, hp min and hp max respectively represent upper and lower limits, ht represents a holding time, ht min and ht max respectively represent upper and lower limits.

[0081] The variable control module 60 adjusts the variable parameters according to the output values of the current injection molding machine operation model, so as to obtain all solutions of the injection molding machine operation target function. According to the existing optimal solution algorithm, the optimal solution is searched from the solutions, and different solutions corresponding to different parameter values are obtained, so as to form a plurality of control strategies for veterinary medicine infusion tube body injection molding production, and the control strategies for veterinary medicine infusion tube body injection molding production are stored in the injection molding blockchain 70.

[0082] The step S3 has the beneficial effect that by controlling the injection molding production feature data to change according to the preset rule, the actual running state of each injection molding machine is simulated, the control strategy for veterinary medicine infusion tube body injection molding production is obtained, the quality of tube body injection molding can be predicted, and then the injection molding quality of the veterinary medicine infusion tube body is improved according to the control strategy, and the production efficiency is improved.

[0083] In summary, the veterinary medicine infusion tube body injection molding management control system based on big data is completed.

[0084] Effect research:

[0085] The technical scheme of the present application can effectively solve the technical problems: the system does not solve the processing efficiency and time delay problem of big data, the security problem of data transmission process, and the injection molding production efficiency and management efficiency needs to be improved. And the above system or method has undergone a series of effect research, through verification, finally can improve the data processing efficiency, reduce the system time delay, strengthen the data transmission security, ensure the injection molding production efficiency and management efficiency.

[0086] The present application is described with reference to flowcharts and / or block diagrams of the method, device (system), and computer program product according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of the flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a device that implements the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 an apparatus that carries out the functions specified in one or more blocks or flows.

[0087] These computer program instructions can also be loaded onto a computer or other programmable data processing device to cause a series of operation steps to be performed on the computer or other programmable device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable device provide a process for implementing the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 a step that carries out the functions specified in one or more blocks or flows.

[0088] Although the preferred embodiments of the present application have been described, those skilled in the art can make additional changes and modifications to the embodiments once they know the basic inventive concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0089] Obviously, those skilled in the art can make various modifications and variations to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalent technologies, the present application also intends to include these modifications and variations.

Claims

1. A big data-based veterinary drench tube body injection molding management control system, characterized in that, Comprise the following parts: Data reading module, distributed matching module, evaluation module, data encryption module, model construction module, variable control module and injection molding blockchain; The data reading module is used for obtaining all injection molding machine parameter information in the injection molding process of the veterinary medicine infusion tube body, obtaining veterinary medicine infusion tube body injection molding production data generated in real time in each batch production process according to the injection molding machine parameter information of each terminal injection molding machine, and sending the veterinary medicine infusion tube body injection molding production data to the distributed matching module through data transmission; The distributed matching module is used for selecting whether to retain injection molding production feature data in the injection molding machine for preprocessing or send the injection molding production feature data to an edge server for preprocessing according to the calculation efficiency of the injection molding machine, and sending the matching result to the evaluation module through data transmission; The evaluation module is used for evaluating the preprocessing result of each injection molding machine, and if the accuracy of the preprocessing result of the injection molding machine is lower than expected, the result is not reliable, and the corresponding data needs to be sent to the edge server for re-preprocessing, the evaluation module sends a data application instruction to the data reading module, sends the injection molding machine id with an unreliable evaluation result to the data reading module, applies for obtaining corresponding injection molding production data, the evaluation module sends the data application instruction to the data reading module through data transmission, and the evaluation module sends the preprocessed injection molding production feature data to the data encryption module through data transmission; The data encryption module is used for data encryption of the injection molding production feature data, and then uploading the encrypted production data to the injection molding blockchain, and the data encryption module is connected with the injection molding blockchain through data transmission; The model construction module is used for obtaining historical data in the injection molding blockchain to construct an injection molding machine operation model, simulating the operation state of the injection molding machine, controlling the injection molding production feature data to change according to a preset rule, simulating the actual operation state of each injection molding machine, obtaining the influence between different parameters, and sending the injection molding machine operation model to the variable control module through data transmission; The variable control module is used for adjusting variable parameters according to the output value of the current injection molding machine operation model, so as to obtain all solutions of the injection molding machine operation target function, form multiple control strategies of the veterinary medicine infusion tube body injection molding production, and store the control strategies of the veterinary medicine infusion tube body injection molding production into the injection molding blockchain, and the variable control module is connected with the injection molding blockchain through data transmission; The injection molding blockchain is used for storing injection molding production feature data of the tube body, and the injection molding blockchain sends the stored historical data to the model construction module.

2. A big data-based veterinary drench tube body injection molding management control method, characterized in that, Comprise the following steps: S1. Obtain veterinary medicine infusion tube body injection molding production data, preprocess the injection molding production data by the injection molding machine or the edge server, and the edge server judges and corrects the preprocessing result of each injection molding machine; S2. Obtain injection molding production feature data through preprocessing, perform multi-layer encryption on the production feature data, and upload the production feature data to the injection molding blockchain; The method for multi-layer encryption of data is: First, the veterinary medicine infusion tube body injection molding production characteristic data is preliminarily divided according to the different meanings of data representation; Then, each preliminarily divided data block is secondarily divided, and the preliminarily divided data block is randomly divided into a plurality of small data blocks; The small data blocks are randomly combined into a plurality of arrays, and each small data block in each array is encrypted in order to obtain an encrypted data block, and then the entire array is encrypted; Next, the positions of the small data blocks in each array are randomly transformed, and each small data block in the transformed array is encrypted in order, and then the entire transformed array is encrypted to obtain the array encryption data before and after transformation; The order of the small data blocks in the transformed array is encrypted to obtain the order encryption data, and the order encryption data, the array encryption data and the preliminarily divided data block are encrypted together, so as to complete the encryption of the veterinary medicine infusion tube body injection molding production characteristic data of the current batch. S3. Build an injection molding machine operation model, simulate the actual operation state of each injection molding machine by controlling the injection molding production characteristic data to change according to the preset rules, and obtain the control strategy of the veterinary medicine infusion tube body injection molding production.

3. The big data based veterinary drenching tube body injection molding management control method of claim 2, wherein, The step S1 comprises: The data preprocessing result of the injection molding machine is sent to the edge server, and the preprocessing result of each injection molding machine is judged by the edge server, and the information entropy of the injection molding machine processing result is taken as the judgment basis.

4. The big data based veterinary drenching tube body injection molding management control method of claim 2, wherein, The step S2 comprises: The veterinary medicine infusion tube body injection molding production characteristic data is encrypted in batches, and then the encrypted production characteristic data is uploaded to the injection molding block chain.

5. The big data based veterinary drenching tube body injection molding management control method of claim 2, wherein, The step S3 comprises: Build an injection molding machine operation model, simulate the actual operation state of each injection molding machine by controlling the injection molding production characteristic data to change according to the preset rules, and obtain the influence between different parameters, so as to facilitate the management and control of the veterinary medicine infusion tube body injection molding production process.

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