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CN-121209447-B - Optical fiber production equipment cooperative control method and system based on Internet of things

CN121209447BCN 121209447 BCN121209447 BCN 121209447BCN-121209447-B

Abstract

The invention discloses a cooperative control method and a cooperative control system for optical fiber production equipment based on the Internet of things, which relate to the field of optical fiber production equipment control, acquire temperature distribution data and prefabricated rod material parameters in real time, determine real-time temperature gradient and material change indexes, and then analyze temperature gradient deviation and influence among equipment by combining a distributed computing framework to obtain a temperature gradient deviation value and influence coefficients among adjacent wire drawing equipment. When the deviation of the temperature gradient exceeds the standard, the neural network model predicts the influence of material change on the temperature distribution, generates a heating power parameter and a wire drawing speed adjusting parameter, and performs cooperative regulation and control to optimize the temperature distribution, so as to generate a production line temperature distribution optimizing scheme, so that the production speed of wire drawing equipment is cooperatively controlled, the production stability and the optical fiber quality are obviously improved, and the overall stability of the temperature gradient and the wire drawing speed of the production line is maintained.

Inventors

  • WU HAIPING
  • Xiao Qingqiang

Assignees

  • 深圳新海讯光电有限公司

Dates

Publication Date
20260508
Application Date
20251024

Claims (7)

  1. 1. The optical fiber production equipment cooperative control method based on the Internet of things is characterized by being executed by a computer and comprising the following steps of: determining a real-time temperature gradient based on temperature distribution data of each wire drawing device, and determining a material change index based on material parameter information of a preform rod of each wire drawing device; Determining a temperature state of a current production line based on the real-time temperature gradient, and determining a material adaptation requirement value based on the material variation index; Based on the temperature state and the material adaptation requirement value, adopting a distributed computing frame to process the temperature data relativity among the wire drawing devices, and determining a temperature gradient deviation value and an influence coefficient between adjacent wire drawing devices; If the temperature gradient deviation value exceeds a preset deviation threshold value, predicting potential influence of material change on temperature distribution through a neural network model based on the influence coefficient to obtain a heating power parameter and a wire drawing speed correction parameter; Based on the heating power parameter and the drawing speed correction parameter, performing cooperative regulation and control optimization on each drawing device to obtain a production line temperature distribution optimization scheme; Based on the production line temperature distribution optimization scheme, updating linkage control logic among the wire drawing devices so as to cooperatively control the production speed of the wire drawing devices.
  2. 2. The collaborative control method for optical fiber production equipment based on the internet of things according to claim 1, wherein if the temperature gradient deviation value exceeds a preset deviation threshold value, based on the influence coefficient, predicting potential influence of material change on temperature distribution through a neural network model to obtain a heating power parameter and a drawing speed correction parameter, wherein the method comprises the following steps: If the temperature gradient deviation exceeds a preset deviation threshold, analyzing the temperature gradient deviation and the preform material parameter information through a neural network model to obtain a temperature distribution prediction result; Determining the heating power parameter and the adjustment amplitude of the heating power parameter based on the temperature distribution prediction result; determining an initial correction value of the wire drawing speed based on the adjustment amplitude; And if the initial correction value does not meet the preset drawing speed value required by production stability, adjusting the drawing speed through an iterative optimization algorithm, and determining the drawing speed correction parameter.
  3. 3. The collaborative control method for optical fiber production equipment based on the internet of things according to claim 1, wherein the collaborative control optimization is performed on each drawing equipment based on the heating power parameter and the drawing speed correction parameter to obtain a production line temperature distribution optimization scheme, comprising: Based on the heating power parameter and the drawing speed correction parameter, collecting operation data of each drawing device in real time to obtain a drawing furnace state; Comparing the state of the wire drawing furnace with a preset requirement of the temperature consistency of a production line to determine abnormal wire drawing equipment with abnormal temperature; generating a cooperative regulation and control instruction based on the abnormal wire drawing equipment; Based on the cooperative regulation and control instruction, regulating the heating power parameter and the drawing speed correction parameter to obtain a technological parameter regulating scheme; based on the technological parameter adjustment scheme, issuing the cooperative regulation and control instruction to each wire drawing device, and acquiring regulation and control execution efficiency and production line temperature data corresponding to the regulation and control execution efficiency; and generating a temperature distribution optimization scheme based on the production line temperature data.
  4. 4. The cooperative control method of optical fiber production equipment based on the internet of things according to claim 1, wherein updating the coordinated control logic among the drawing equipment based on the production line temperature distribution optimization scheme to cooperatively control the production speed of the drawing equipment comprises: Updating linkage control logic among all wire drawing equipment based on the production line temperature distribution optimization scheme, and determining a dynamic adjustment range of speed matching; If the dynamic adjustment range is not coordinated, analyzing interference factors of environmental fluctuation on speed matching by adopting a support vector machine algorithm, and determining a speed synchronization compensation value among wiredrawing equipment; Carrying out integral calibration of the production line speed based on the speed synchronous compensation value, obtaining calibrated diameter measurement data, and determining uniformity indexes of the optical fiber diameter based on the diameter measurement data; Verifying the validity of the multi-equipment cooperative response based on the uniformity index to obtain a production stability confirmation result; and if the production stability confirmation result passes, updating linkage control logic among the wire drawing equipment so as to cooperatively control the production speed of the wire drawing equipment.
  5. 5. The collaborative control method for optical fiber production equipment based on the internet of things according to claim 4, wherein updating the coordinated control logic among the drawing equipment based on the production line temperature distribution optimization scheme to determine the dynamic adjustment range of speed matching comprises: based on the production line temperature distribution optimization scheme, acquiring real-time temperature monitoring data to determine an environmental temperature value; If the environmental temperature value exceeds a preset temperature threshold value, the running speed of the equipment is regulated through control logic, and a speed regulation parameter is obtained; Based on the speed regulation parameters, updating the equipment linkage state by adopting a distributed control algorithm, and determining a cooperative operation mode; based on the cooperative operation mode, acquiring real-time feedback data between the wire drawing devices; If the data consistency index of the real-time feedback data is lower than a preset standard index, correcting the temperature monitoring data through a data processing module to obtain corrected temperature data; and optimizing a speed matching range by adopting a dynamic programming algorithm based on the corrected temperature data, and determining the dynamic adjustment range.
  6. 6. The method for collaborative control of optical fiber production equipment based on the internet of things according to claim 4, wherein if the dynamic adjustment range is not coordinated, analyzing an interference factor of environmental fluctuation on speed matching by using a support vector machine algorithm, determining a speed synchronization compensation value between drawing equipment, comprises: if the dynamic adjustment range is not coordinated, acquiring environment fluctuation data to obtain an environment variable data set, wherein the environment variable data set comprises real-time values of temperature, humidity and vibration frequency; based on the environment variable data set, determining a mapping relation between environment fluctuation and speed synchronous deviation through a support vector machine algorithm to obtain a prediction model and output deviation of the prediction model; if the output deviation exceeds a preset deviation threshold, adjusting the feature weight of the prediction model to obtain optimized model parameters; analyzing interference of real-time environment variables on speed matching based on a prediction model corresponding to the optimized model parameters to obtain weight distribution of interference factors; and determining a speed synchronization compensation value among the wire drawing devices based on the weight distribution of the interference factors.
  7. 7. Optical fiber production equipment cooperative control system based on thing networking, characterized by comprising: The index determining module is used for determining a real-time temperature gradient based on temperature distribution data of each wire drawing device and determining a material change index based on material parameter information of the prefabricated rod of each wire drawing device; The state determining module is used for determining the temperature state of the current production line based on the real-time temperature gradient and determining a material adaptation requirement value based on the material change index; The influence coefficient determining module is used for processing the temperature data relevance among the wire drawing devices by adopting a distributed computing frame based on the temperature state and the material adaptation requirement value and determining a temperature gradient deviation value and an influence coefficient among adjacent wire drawing devices; the parameter determining module is used for predicting potential influence of material change on temperature distribution through a neural network model based on the influence coefficient if the temperature gradient deviation value exceeds a preset deviation threshold value, so as to obtain a heating power parameter and a wire drawing speed correction parameter; the regulation and control optimization module is used for executing cooperative regulation and control optimization on each wire drawing device based on the heating power parameter and the wire drawing speed correction parameter to obtain a production line temperature distribution optimization scheme; and the cooperative control module is used for updating the linkage control logic among the wire drawing devices based on the production line temperature distribution optimization scheme so as to cooperatively control the production speed of the wire drawing devices.

Description

Optical fiber production equipment cooperative control method and system based on Internet of things Technical Field The invention relates to the technical field of optical fiber production equipment control, in particular to an optical fiber production equipment cooperative control method and system based on the Internet of things. Background Optical fiber production is used as a support industry in the modern communication and information technology fields, and the product quality directly influences the stability and efficiency of data transmission. With the worldwide proliferation of high-speed network demands, the refinement and scale of optical fiber manufacturing are key to industry development. However, when the existing production equipment control method is used for coping with complex production environments, dynamic coordination among multiple equipment is often difficult to achieve, so that product quality fluctuates, and especially when the production equipment control method is faced with raw material changes or environmental interference, production stability is insufficient. The defect not only increases the rejection rate, but also can influence the performance of the optical fiber in extreme environments, and becomes a bottleneck for restricting the efficient development of the industry. In the process of drawing an optical fiber, temperature control is a core link for ensuring uniformity of the diameter and stable performance of the optical fiber. Conventional approaches typically rely on independent tuning of a single device, lacking the ability to coordinate responses between multiple devices. When the quality of the prefabricated bar changes or the external environment temperature fluctuates, the temperature distribution of each wire drawing furnace is difficult to be kept consistent. Such inconsistencies can cause temperature gradient imbalances, resulting in overheating or overcooling of portions of the equipment, which in turn can affect wire drawing speed matching. The temperature and speed mismatch directly causes a small deviation in the diameter of the optical fiber, which may cause signal attenuation in high-speed communication, and seriously affects the quality of the product. A further challenge is that the operating states of multiple wiredrawing equipment on a production line are mutually affected, but the prior art lacks a mechanism for real-time monitoring and dynamic adjustment. The non-uniformity of the temperature distribution is not only caused by insufficient control accuracy of a single device, but also caused by lack of linkage of cooperative regulation among devices. For example, when the temperature of a wire drawing furnace is abnormally increased due to material change, if the heating power or the wire drawing speed of adjacent equipment is not adjusted in time, the temperature gradient of the whole production line deviates from the optimal range. This chain reaction makes it difficult for the production line to maintain stable process parameters, resulting in inconsistent fiber quality. Therefore, how to dynamically adapt to the material change of the preform and the fluctuation of the ambient temperature through real-time monitoring and multi-equipment cooperative regulation and control, and maintain the overall stability of the temperature gradient and the drawing speed of the production line becomes a key problem in the field of control of optical fiber production equipment. Disclosure of Invention The invention provides an optical fiber production equipment cooperative control method and system based on the Internet of things, which are used for dynamically adapting to the material change of a preform and the environmental temperature fluctuation through real-time monitoring and multi-equipment cooperative regulation and control, and keeping the overall stability of the temperature gradient and the wire drawing speed of a production line. The invention provides a cooperative control method of optical fiber production equipment based on the Internet of things, which is executed by a computer and comprises the following steps: determining a real-time temperature gradient based on temperature distribution data of each wire drawing device, and determining a material change index based on material parameter information of a preform rod of each wire drawing device; Determining a temperature state of a current production line based on the real-time temperature gradient, and determining a material adaptation requirement value based on the material variation index; Based on the temperature state and the material adaptation requirement value, adopting a distributed computing frame to process the temperature data relativity among the wire drawing devices, and determining a temperature gradient deviation value and an influence coefficient between adjacent wire drawing devices; If the temperature gradient deviation value exceeds a preset deviation threshold value, pre