A process for degrading environmentally friendly yarn spinning production line intelligent control method

Abstract

The present application relates to the technical field of yarn production, and particularly relates to a production line intelligent control method for degradable environment-friendly yarn spinning production, which comprises the following steps: deploying an environment sensing device in a workshop where a spinning production line is located, sensing environment information of the workshop where the spinning production line is located based on the environment sensing device, creating a cloud database, and storing the environment information of the workshop where the spinning production line is located sensed historically in the cloud database; setting a maintenance device triggering threshold, and obtaining the latest stored environment information in the cloud database, the present application performs global and distributed monitoring and control on each spinning production line in the spinning workshop through a large number of suitable deployments of the environment sensing device, effectively maintains long-term stability of the environment of the spinning workshop, and guarantees safe production of the spinning workshop.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of yarn production, and particularly relates to a production line intelligent control method for degradable environment-friendly yarn spinning production. BACKGROUND

[0002] The spinning production line is a production system for processing fiber raw materials into yarn. It loosens and mixes fibers from the opening and cleaning process, combs fibers into single fibers, further stretches and twists to form yarn in the drawing and roving process, and finally further stretches and twists to form yarn that meets the requirements in the spinning process, realizing efficient conversion from fiber to yarn.

[0003] An application with the application number 202311671074.3 discloses a spinning production intelligent control system based on machine vision, which comprises: a cotton web image acquisition module for acquiring a cotton web detection image; a cotton web image feature extraction module for extracting texture features of the cotton web detection image to obtain a cotton web texture enhancement feature map; and a knife gap determination module for determining the distance between the dust removal knife and the tin forest based on the cotton web texture enhancement feature map.

[0004] The application aims to solve the problem that in the cotton combing process, the distance between the dust removal knife and the tin forest is mainly adjusted by the experience of the operator to remove impurities. Generally, finer spinning requires smaller knife-tin gap to achieve better carding effect. Coarser fibers and coarser spinning may require larger knife-tin gap to avoid excessive cutting and excessive carding. However, since the impurity content of cotton web made from different batches, different varieties and different processing technologies is different, relying on the experience of the operator to adjust the distance between the dust removal knife and the tin forest often results in unsatisfactory impurity removal or excessive impurity removal, causing fiber damage.

[0005] However, the spinning process has strict requirements on the production environment. Poor temperature and humidity, air cleanliness can harm the health of workers and easily cause fiber breakage, winding, and accumulation of static electricity.

[0006] Therefore, a production line intelligent control method for degradable environment-friendly yarn spinning production is proposed. SUMMARY

[0007] In view of the above shortcomings of the prior art, the present application provides a production line intelligent control method for degradable environment-friendly yarn spinning production, which solves the technical problems proposed in the background art.

[0008] To achieve the above purpose, the present application realizes the following technical solutions:

[0009] A production line intelligent control method for degradable environment-friendly yarn spinning production, comprising:

[0010] The environment sensing device is deployed in the workshop where the spinning line is located, the environment information of the workshop where the spinning line is located is sensed based on the environment sensing device, a cloud database is created, the cloud database is applied to store the historical sensed environment information of the workshop where the spinning line is located, a maintenance device triggering threshold is set, the latest stored environment information is obtained in the cloud database, the maintenance device is triggered to operate based on the comparison between the environment information and the maintenance device triggering threshold, a visualized graph representing the change of the environment information is generated based on the environment information stored in the cloud database, the visualized graph is traversed after the spinning line ends operation each time, the spinning line failure risk is analyzed based on the visualized graph, a spinning line failure risk judgment threshold is set, the spinning line failure risk analysis result is obtained, whether the spinning line has failure is judged based on the comparison between the analysis result and the spinning line, and a spinning line management message is generated and output.

[0011] Further, the environment sensing device deployed in the workshop where the spinning line is located includes a temperature sensor, a humidity sensor, an air parameter sensor and a vibration sensor, each group of environment sensing devices is integrated by the temperature sensor, the humidity sensor, the air parameter sensor and the vibration sensor, and the environment sensing device is deployed around the ground where the spinning line is deployed in the workshop.

[0012] The cloud database stores the historical sensing environment information of the environment sensing device, and the environment information synchronization mark for performing the storage operation has the deployment position coordinates of the source environment sensing device.

[0013] Further, the adjacent spacing of the environment sensing device deployed around the spinning line in the workshop where the spinning line is located is half of the adjacent spacing of the environment sensing device deployed on the wall and the top surface of the workshop where the spinning line is located, the adjacent spacing of the environment sensing device deployed around the spinning line is equal, and the adjacent spacing of the environment sensing device deployed on the wall and the top surface of the workshop where the spinning line is located is equal.

[0014] The adjacent spacing of the environment sensing device deployed around the ground where the spinning line is deployed in the workshop where the spinning line is located is subject to:

[0015]

[0016] In the formula, D is the adjacent spacing of the environment sensing device deployment; L MAX , W MAX are the maximum length and width of the spinning workshop spinning line; n is the total number of the spinning lines in the spinning workshop; L i , W i , H i are the length, width and height of the i-th spinning line in the spinning workshop; L0, W0 and H0 are the length, width and height of the spinning workshop.

[0017] Wherein, when D is calculated based on formula (1), "≈" is taken, D is taken as an integer, when D is calculated based on formula (2), "=" is taken, when D calculated based on formula (1) is established in formula (2), D is calculated by formula (2).

[0018] Further, the maintenance equipment is installed in the workshop where the spinning production line is located, and the maintenance equipment comprises: an air conditioner, a humidifier, a honeycomb dust filter unit, and independent power control switches, the independent power control switches are provided in several groups, and the several groups of independent power control switches correspond one-to-one to each spinning production line in the spinning workshop;

[0019] The maintenance equipment trigger threshold corresponds to temperature, humidity, air dust content, and vibration signal, and the temperature, humidity, air dust content, and vibration signal are sensed based on temperature sensors, humidity sensors, air parameter sensors, and vibration sensors, respectively, and the air conditioner, the humidifier, the honeycomb dust filter unit, and the independent power control switches in the maintenance equipment are applied to the trigger thresholds corresponding to the temperature, humidity, air dust content, and vibration signal.

[0020] Further, after the vibration signal is sensed based on the vibration sensor, a quantization operation is synchronously performed, the vibration signal after quantization is compared with the corresponding maintenance equipment trigger threshold, and the independent power control switch is triggered to operate based on the comparison result;

[0021] The quantization operation of the vibration signal is as follows:

[0022]

[0023] In the formula, K is the kurtosis of the vibration signal; K norr is a preset safe kurtosis threshold of the vibration signal; m is the number of sampling points in the vibration signal; x j is the jth sampling value; is the sample mean; s is the sample standard deviation; and g is the quantization value.

[0024] In the formula, K norr is defined by the user, and the time intervals of adjacent sampling points in the vibration signal are equal.

[0025] Further, when the temperature in the environmental information meets the maintenance equipment trigger threshold, when the humidity meets the maintenance equipment trigger threshold, and when the air dust content meets the maintenance equipment trigger threshold, the corresponding maintenance equipment is controlled to operate, and the temperature, humidity, and air dust content values are coordinated to deviate from the maintenance equipment trigger threshold.

[0026] Wherein, when the quantified vibration signal in the environmental information meets the maintenance equipment triggering threshold, the spinning line closest to the sensing equipment of the vibration signal is controlled to be closed by the independent power control switch, and the spinning line is maintained by the spinning workshop staff, and after the maintenance is completed, the independent power control switch controls the spinning line to restart.

[0027] Further, the spinning line failure risk is analyzed by taking the visual image corresponding to the environment-aware device deployed around the location of the spinning line and the environment-aware device deployed on the wall and top surface of the spinning workshop as the analysis target.

[0028] The visual graph representing the change in environmental information is a line graph.

[0029] Further, the spinning line failure risk analysis logic is represented as:

[0030]

[0031] In the formula: f C , f RH , f c , f g is a set of failure risk parameters represented by the visual graph corresponding to the environment-aware device.(C MAX -C MIN ) now is the difference between the maximum value and the minimum value in the latest visual graph representing temperature.(C MAX -C MIN ) before is the difference between the maximum value and the minimum value in the last updated visual graph compared to the latest visual graph representing temperature.(RH MAX -RH MIN ) now is the difference between the maximum value and the minimum value in the latest visual graph representing humidity.(RH MAX -RH MIN ) before is the difference between the maximum value and the minimum value in the last updated visual graph compared to the latest visual graph representing humidity.(c MAX -c MIN ) now is the difference between the maximum value and the minimum value in the latest visual graph representing dust content.(c MAX -c MIN ) before is the difference between the maximum value and the minimum value in the last updated visual graph compared to the latest visual graph representing dust content.(g MAX -g MIN ) now is the difference between the maximum value and the minimum value in the latest visual graph representing the quantified value.(g MAX -gMIN ) before is the difference between the maximum value and the minimum value in the visualization graph compared with the last update of the visualization graph quantizing the latest representation value;

[0032] Then the spinning line is determined based on the fault risk parameters determined by the set of environmental sensing devices as:

[0033] f=f C ·ω C +f RH ·ω RH +f c ·ω c +f g ·ω g ;

[0034] In the formula, ω C , ω RH , ω c , ω g are weights, ω C , ω RH , ω c , ω g are all greater than zero and the sum is 1, and each term is defined by the user terminal;

[0035] Then the spinning line is determined based on the fault risk parameters determined by the set of environmental sensing devices as:

[0036]

[0037] In the formula, u is the total number of environmental sensing devices related to the spinning line; f v is the fault risk parameter determined by the vth set of environmental sensing devices.

[0038] Further, the spinning line fault risk determination threshold is defined by the user terminal, F is defined by the user terminal, and F is greater than or equal to the spinning line fault risk determination threshold, then it is determined that the spinning line has a fault, otherwise it is determined that the spinning line does not have a fault problem.

[0039] Further, the spinning line management message corresponds to each spinning line in the spinning workshop, and the spinning line transmits the spinning line management message output by the spinning line control panel to the mobile computer device held by the user terminal through the wireless network, and the user terminal reads the spinning line management message in the mobile computer;

[0040] In the formula, the spinning line management message content includes: the latest visualization graph of the environmental information change corresponding to the spinning line, the fault risk analysis result and the determination result of each time, and the spinning line configuration maintenance device operation record.

[0041] Compared with the known prior art, the technical scheme provided by the application has the following beneficial effects:

[0042] The application provides a production line intelligent control method for degradable environment-friendly yarn spinning production. BRIEF DESCRIPTION OF DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained without creative labor on the basis of these drawings.

[0044] Figure 1 A flowchart of a production line intelligent control method for degradable environment-friendly yarn spinning production. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application will be clearly and completely described below in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are some of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0046] The present application will be further described below in combination with the embodiments.

[0047] Embodiment:

[0048] A production line intelligent control method for degradable environment-friendly yarn spinning production in the present embodiment, as shown in Figure 1 , includes:

[0049] Deploying an environment sensing device inside the workshop where the spinning line is located, based on the environment sensing device, sensing the environment information of the workshop where the spinning line is located, creating a cloud database, and storing the historical sensed environment information of the workshop where the spinning line is located in the cloud database;

[0050] The environment sensing device deployed in the spinning line workshop includes a temperature sensor, a humidity sensor, an air parameter sensor, and a vibration sensor. Each group of environment sensing devices is integrated by a temperature sensor, a humidity sensor, an air parameter sensor, and a vibration sensor. When the environment sensing device is deployed in the spinning line workshop, it is deployed around the ground where the spinning line is deployed in the workshop, and is distributed and deployed in a matrix shape on the inner wall and top surface of the workshop.

[0051] In the cloud database, the environment information synchronization mark of the storage operation has the deployment position coordinates of the source environment sensing device when the cloud database stores the historical environment sensing information of the environment sensing device.

[0052] In the spinning line workshop, the adjacent spacing of the environment sensing devices deployed around the spinning line is half of the adjacent spacing of the environment sensing devices deployed on the wall and top surface of the spinning line workshop. The adjacent spacing of the environment sensing devices deployed around the spinning line is equal, and the adjacent spacing of the environment sensing devices deployed on the wall and top surface of the spinning line workshop is equal. The adjacent spacing of the environment sensing devices deployed around the ground where the spinning line is deployed in the spinning line workshop is subject to:

[0053]

[0054] In the formula, D is the adjacent spacing of the environment sensing device deployment; L MAX , W MAX are the maximum length and width of the spinning line in the spinning workshop; n is the total number of spinning lines in the spinning workshop; L i , W i , H i are the length, width, and height of the ith spinning line in the spinning workshop; L0, W0, and H0 are the length, width, and height of the spinning workshop.

[0055] In the formula (1), “≈” is taken, and D is rounded down. In the formula (2), “=” is taken. When the D obtained from the formula (1) is established in the formula (2), D is obtained from the formula (2).

[0056] The spacing of the environment sensing devices deployed in the spinning workshop in the above logical formula is designed to ensure that the environment sensing devices are deployed evenly and reasonably, and effectively and comprehensively sense the environment information of the spinning workshop.

[0057] The maintenance device trigger threshold is set, the latest stored environment information is obtained in the cloud database, the environment information is compared with the maintenance device trigger threshold, and the maintenance device is triggered to operate.

[0058] The maintenance equipment is installed in a workshop where the spinning production line is located, and the maintenance equipment comprises an air conditioner, a humidifier, a honeycomb dust filter unit, and independent power control switches, wherein the independent power control switches are provided in several groups, and the several groups of independent power control switches correspond to each spinning production line in the spinning workshop one by one;

[0059] The maintenance equipment trigger threshold corresponds to the temperature, humidity, air dust content, and vibration signal, and the temperature, humidity, air dust content, and vibration signal are sensed based on a temperature sensor, a humidity sensor, an air parameter sensor, and a vibration sensor, respectively, and the air conditioner, the humidifier, the honeycomb dust filter unit, and the independent power control switches in the maintenance equipment are applied to the trigger threshold corresponding to the temperature, humidity, air dust content, and vibration signal.

[0060] After the vibration signal is sensed based on the vibration sensor, a quantization operation is synchronously performed, the quantized vibration signal is compared with the corresponding maintenance equipment trigger threshold, and the independent power control switch is triggered to operate based on the comparison result.

[0061] The quantization operation of the vibration signal is as follows:

[0062]

[0063] In the formula, K is the kurtosis of the vibration signal, K norr is a preset safe kurtosis threshold of the vibration signal, m is the number of sampling points in the vibration signal, x j is the jth sampling value, x is the sample mean, s is the sample standard deviation, and g is the quantization value.

[0064] In the formula, K norr is defined by the user, and the time intervals of adjacent sampling points in the vibration signal are equal.

[0065] The above logical formula limits the logic of the vibration signal quantization.

[0066] When the temperature in the environmental information meets the maintenance equipment trigger threshold, when the humidity meets the maintenance equipment trigger threshold, and when the air dust content meets the maintenance equipment trigger threshold, the corresponding maintenance equipment is controlled to operate, and the temperature, humidity, and air dust content values are coordinated to deviate from the maintenance equipment trigger threshold.

[0067] In the formula, when the quantized vibration signal in the environmental information meets the maintenance equipment trigger threshold, the spinning production line closest to the sensing equipment of the vibration signal is controlled to be turned off by the independent power control switch, and the spinning production line is maintained by the spinning workshop staff, and after the maintenance is completed, the independent power control switch controls the spinning production line to restart.

[0068] Generate a visualization graph representing the change of environmental information based on the environmental information of the spinning line workshop stored in the cloud database, and traverse the visualization graph after each spinning line operation, analyze the spinning line failure risk based on the visualization graph;

[0069] The spinning line failure risk is analyzed by taking the visualization image of the environment perception device deployed around the spinning line location and the environment perception device deployed on the wall and top surface of the spinning line as the analysis target;

[0070] The visualization graph representing the change of environmental information is a line graph;

[0071] Set the spinning line failure risk determination threshold, obtain the spinning line failure risk analysis result, and determine whether the spinning line has a failure based on the comparison between the analysis result and the spinning line;

[0072] The spinning line failure risk analysis logic is represented as:

[0073]

[0074] In the formula: f C , f RH , f c , f g is a set of failure risk parameters represented by a group of visualization graphs of environmental perception devices;(C MAX -C MIN ) now is the difference between the maximum and minimum values in the latest visualization graph representing temperature;(C MAX -C MIN ) before is the difference between the maximum and minimum values in the last updated visualization graph compared to the latest visualization graph representing temperature;(RH MAX -RH MIN ) now is the difference between the maximum and minimum values in the latest visualization graph representing humidity;(RH MAX -RH MIN ) before is the difference between the maximum and minimum values in the last updated visualization graph compared to the latest visualization graph representing humidity;(c MAX -c MIN ) now is the difference between the maximum and minimum values in the latest visualization graph representing dust content;(c MAX -c MIN ) before is the difference between the maximum and minimum values in the last updated visualization graph compared to the latest visualization graph representing dust content;(g MAX -g MIN ) nowThe difference between the maximum value and the minimum value in the latest visualization graph of quantized values is denoted as Dmaxmin MAX -g MIN ) before The difference between the maximum value and the minimum value in the latest visualization graph of quantized values is denoted as Dmaxmin

[0075] The failure risk parameter of the spinning line determined by a set of environmental sensing devices is:

[0076] f=f C ·ω C +f RH ·ω RH +f c ·ω c +f g ·ω g ;

[0077] In the formula, ω C , ω RH , ω c , ω g are weights, ω C , ω RH , ω c , ω g are all greater than zero and their sum is 1, and each term is defined by the user terminal;

[0078] The failure risk value of the spinning line determined by its related environmental sensing devices is:

[0079]

[0080] In the formula, u is the total number of environmental sensing devices related to the spinning line; f v is the failure risk parameter determined by the vth set of environmental sensing devices;

[0081] The failure risk determination threshold of the spinning line is defined by the user terminal, F is defined by the user terminal, and F is greater than or equal to the failure risk determination threshold of the spinning line, indicating that the spinning line has a failure, and vice versa, indicating that the spinning line does not have a failure problem. Through the above logical formula calculation, the failure risk of the environmental sensing device is represented in a digital form, providing support for the final prediction result of the spinning line failure.

[0082] A spinning line management message is generated and output.

[0083] In the above embodiment, the execution of the method provides a comprehensive environmental control system for the spinning workshop that can serve each spinning line, effectively ensures the stable operation of each spinning line in the spinning workshop, and long-term healthy execution of spinning production work, and to a certain extent, reduces the labor management cost of the spinning workshop.

[0084] As Figure 1 shown, the spinning line management message corresponds to each spinning line in the spinning workshop one by one, and the spinning line is transmitted by the spinning line control panel through the wireless network to the mobile computer device held by the user end, and the user end reads the spinning line management message in the mobile computer.

[0085] Among them, the spinning line management message content includes: the latest corresponding spinning line visual graph representing the change of environmental information, the analysis result and the determination result of each fault risk, and the operation record of the spinning line configuration maintenance device.

[0086] Through the above setting, the method in the embodiment provides further output logic setting and message content limitation for the execution of the message output result.

[0087] In summary, in the above-mentioned embodiment, the method in the execution process, through the large number of suitable deployment of environmental perception device, carries out global and distributed monitoring and control to each spinning line in the spinning workshop, effectively maintains the long-term stability of the environment in the spinning workshop, guarantees the safe production of the spinning workshop, and generates a visual graph based on the environmental information of the spinning workshop, which brings convenient data reading service to the spinning workshop management user, and at the same time, the visual graph is combined to predict the fault of each spinning line in the spinning workshop, so as to facilitate the spinning workshop management user to foresee the maintenance of each spinning line in the spinning workshop.

[0088] The above embodiments are only used to illustrate the technical solutions of the present application, but not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement to some technical features; and these modifications or replacements will not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A process for intelligent control of a line for the production of yarns from biodegradable fibers, characterized in that, The application relates to a yarn spinning line management method and device. An environment sensing device is arranged in a workshop where a yarn spinning line is located, environment information of the workshop where the yarn spinning line is located is sensed based on the environment sensing device, a cloud database is created, and the cloud database is applied to store historical sensed environment information of the workshop where the yarn spinning line is located; A maintenance device triggering threshold is set, the latest stored environment information in the cloud database is obtained, and the maintenance device is triggered to operate based on the comparison between the environment information and the maintenance device triggering threshold; A visual graph representing environment information change is generated based on the environment information of the workshop where the yarn spinning line is located stored in the cloud database, the visual graph is traversed after the yarn spinning line ends operation each time, and yarn spinning line fault risk is analyzed based on the visual graph; A yarn spinning line fault risk judgment threshold is set, a yarn spinning line fault risk analysis result is obtained, and whether the yarn spinning line has a fault is judged based on the comparison between the analysis result and the yarn spinning line; A yarn spinning line management message is generated and outputted. The adjacent spacing of the environment sensing devices arranged around the yarn spinning line in the workshop where the yarn spinning line is located is half of the adjacent spacing of the environment sensing devices arranged on the wall and top surface of the workshop where the yarn spinning line is located, and the adjacent spacing of the environment sensing devices arranged around the yarn spinning line is equal. The adjacent spacing of the environment sensing devices arranged around the yarn spinning line on the ground in the workshop where the yarn spinning line is located is subject to: ； In the formula: is the adjacent spacing for the environmental perception device; is the maximum length, width of the spinning production line in the spinning workshop; is the total amount of spinning production lines in the spinning workshop; is the length, width, height of the ith spinning production line in the spinning workshop; is the length, width, height of the spinning workshop; wherein, based on formula (1), is calculated when , is rounded down, based on formula (2), is calculated when is calculated based on formula (2) when ; The yarn spinning line fault risk analysis logic is represented as: ； wherein: is a failure risk parameter for a set of environmental perception devices corresponding to the visual representation of the graph; is the difference between the maximum and minimum values in the latest visual representation of temperature; is the difference between the maximum and minimum values in the latest visual representation of temperature compared to the last update of the visual representation of temperature; is the difference between the maximum and minimum values in the latest visual representation of humidity; is the difference between the maximum and minimum values in the latest visual representation of humidity compared to the last update of the visual representation of humidity; is the difference between the maximum and minimum values in the latest visual representation of dust content; is the difference between the maximum and minimum values in the latest visual representation of dust content compared to the last update of the visual representation of dust content; is the difference between the maximum and minimum values in the latest visual representation of quantified values; is the difference between the maximum and minimum values in the latest visual representation of quantified values compared to the last update of the visual representation of quantified values; The yarn spinning line fault risk parameter determined based on a group of environment sensing devices is: ； In the formula: are weights, all greater than zero and add up to 1, and each item is defined by the user end. The yarn spinning line fault risk value determined based on the related environment sensing devices is: ； in which: is the total amount of spinning line related environment perception devices; is the failure risk parameter determined for the v-th group of environment perception devices.

2. The intelligent control method for the production line of the biodegradable yarn spun by the spinning machine according to claim 1, characterized in that, The environment sensing devices arranged in the workshop where the yarn spinning line is located include temperature sensors, humidity sensors, air parameter sensors and vibration sensors, each group of environment sensing devices is integrated by the temperature sensors, the humidity sensors, the air parameter sensors and the vibration sensors, and the environment sensing devices are arranged around the yarn spinning line on the ground in the workshop where the yarn spinning line is located and are distributed in a matrix on the wall and the top surface of the workshop. When the cloud database stores the historical sensed environment information of the environment sensing devices, the environment information synchronous mark performing the storage operation has the deployment position coordinates of the source environment sensing device.

3. The method according to claim 1, wherein the method is characterized by, The maintenance device is installed in the workshop where the yarn spinning line is located, and the maintenance device includes an air conditioner, a humidifier, a honeycomb dust filter unit and independent power control switches. The maintenance device triggering threshold corresponds to temperature, humidity, air dust content and vibration signals, the temperature, the humidity, the air dust content and the vibration signals are sensed based on temperature sensors, humidity sensors, air parameter sensors and vibration sensors, and the air conditioner, the humidifier, the honeycomb dust filter unit and the independent power control switches in the maintenance device are applied to the triggering thresholds corresponding to the temperature, the humidity, the air dust content and the vibration signals.

4. The intelligent control method for a production line for spinning environmentally friendly yarns according to claim 3, characterized in that, The vibration signal is quantized after being sensed by the vibration sensor, and the quantized vibration signal is compared with the corresponding maintenance device trigger threshold. The independent power supply control switch triggers operation based on the comparison result; The quantization operation of the vibration signal is: ； In the formula: is the kurtosis of the vibration signal; is the preset safe kurtosis threshold of the vibration signal; is the number of sampling points in the vibration signal; is the jth sampling value; is the sample mean value; is the sample standard deviation; is the quantization value; wherein, The time interval of each adjacent sampling point in the vibration signal is equal and defined by the user end.

5. The method according to claim 1, wherein the method is characterized by, When the temperature, humidity, and air dust content in the environmental information meet the maintenance device trigger threshold, the corresponding maintenance device is controlled to operate, and the temperature, humidity, and air dust content values are coordinated to deviate from the maintenance device trigger threshold; When the quantized vibration signal in the environmental information meets the maintenance device trigger threshold, the spinning line closest to the sensing device of the vibration signal is controlled to be closed by the independent power supply control switch, and the spinning line is maintained by the spinning workshop staff. After the maintenance is completed, the independent power supply control switch controls the spinning line to restart.

6. The method according to claim 1, wherein the method is characterized by, The spinning line fault risk is analyzed by taking the corresponding visual image of the environmental sensing device deployed around the location of the spinning line and the environmental sensing device deployed on the wall and top surface of the spinning workshop as the analysis target. The visual graph representing the change in environmental information is a line graph.

7. The method according to claim 1, wherein the method is characterized by, said spinning line failure risk decision threshold is defined by the user end, defined by the user end, greater than or equal to the spinning line failure risk decision threshold, it is determined that the spinning line has a failure, otherwise, it is determined that the spinning line does not have a failure problem.

8. The method according to claim 1, wherein the method is characterized by, The spinning line management message corresponds to each spinning line in the spinning workshop. The spinning line transmits the spinning line management message from the spinning line control panel to the mobile computer device held by the user terminal through the wireless network. The user terminal reads the spinning line management message in the mobile computer. The spinning line management message content includes: the visual graph representing the change in environmental information corresponding to the latest spinning line, the fault risk analysis result and the determination result of each time, and the operation record of the spinning line configuration maintenance device.

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