CN117555367A - Temperature control device, method and equipment for production process of crosslinked polyethylene cable - Google Patents

Abstract

The application discloses a temperature control device, a method and equipment for a production process of a crosslinked polyethylene cable, and belongs to the technical field of electric power facilities. The device comprises: the temperature data acquisition module is used for acquiring temperature data of at least two positions of the extruder and the catenary pipeline of the crosslinked polyethylene cable production line; the deviation calculation module is used for calculating deviation values of the current temperature data and the target temperature data of each position; the data input module is used for inputting the position data, the current temperature data and the deviation value of each position into the control model to obtain an output result of the control model; and the control effect identification module is used for identifying the change data of the deviation value after the temperature control is performed according to the output result, so as to obtain the control effect data. According to the technical scheme, the temperature of the cable production line can be acquired, temperature data can be controlled according to the deviation value, control effect data after temperature control is acquired, temperature control accuracy is effectively improved, and the cross-linking effect of the cable is prevented from being influenced by temperature swing.

Description

Temperature control device, method and equipment for production process of crosslinked polyethylene cable

Technical Field

The application belongs to the technical field of electric power facilities, and particularly relates to a temperature control device, a temperature control method and temperature control equipment for a production process of a crosslinked polyethylene cable.

Background

In the production line of crosslinked polyethylene cables, the function of the temperature control system is critical. It ensures that the extruder is able to sufficiently melt and extrude the material and cross-link it in the catenary pipe. The problem of temperature control can lead to the material to melt insufficiently, and sinle silk surface material uneven distribution, sinle silk expose, reduces product quality.

At present, for the temperature control of the crosslinked polyethylene cable production line, the temperature of the extruder head is mostly only detected, and the temperature is adjusted in a manual regulation mode, so that the temperature error of the catenary pipeline is larger, and the cable quality is influenced.

Therefore, how to accurately and comprehensively control the temperature of the crosslinked polyethylene cable production line is a technical problem to be solved by the technicians in the field.

Disclosure of Invention

The embodiment of the application aims to provide a temperature control device, a temperature control method and temperature control equipment for a production process of a crosslinked polyethylene cable, which can collect temperatures of an extruder and a catenary pipeline, control the temperature of a crosslinked polyethylene production line according to a deviation value of an actual temperature and a target temperature, acquire control effect data after temperature control, effectively improve temperature control precision and avoid influencing the crosslinking effect of the cable due to temperature swing.

In a first aspect, embodiments of the present application provide a temperature control device for a production process of a crosslinked polyethylene cable, the device comprising:

the temperature data acquisition module is used for acquiring current temperature data of at least two positions of the extruder and the catenary pipeline of the crosslinked polyethylene cable production line;

the deviation calculation module is used for calculating deviation values of the current temperature data and the target temperature data of each position;

the data input module is used for inputting the position data, the current temperature data and the deviation value of each position into the control model to obtain an output result of the control model;

and the control effect identification module is used for identifying the change data of the deviation value after the temperature control is carried out according to the output result, so as to obtain the control effect data.

Further, the device further comprises:

and the acquisition position determining module is used for determining the acquisition position of the temperature data according to the environmental data of the crosslinked polyethylene cable production line and the length of the catenary pipeline.

Further, the device further comprises:

and the target temperature data determining module is used for inputting the environmental data of the crosslinked polyethylene cable production line, the catenary pipeline length and the production requirement data of the crosslinked polyethylene cable production process into a pre-built simulation model so as to determine the target temperature data of each acquisition position.

Further, the control effect identifying module is further configured to:

adjusting the water flow speed and/or water flow of the cooling water according to the output result of the control model;

the method comprises the steps of,

and adjusting the working power of the heating pump according to the output result of the control model.

Further, the device further comprises:

the control position determining module is used for acquiring control position information of the cooling water cooling section and the setting position of the heating pump;

correspondingly, the data input module is further configured to:

and inputting the position data, the current temperature data, the deviation value, the control position information and the control device type of each control position information of each position into a control model to obtain an output result of the control model.

Further, the data input module is further specifically configured to:

when the output result of the control model is that an effective control signal cannot be output, a manual intervention instruction is generated so as to carry out manual intervention request alarm;

and receiving a manual intervention control strategy, and updating the control model based on the manual intervention control strategy.

Further, the device further comprises:

and the deviation value initial detection module is used for identifying whether the deviation value is greater than a set deviation threshold value or not, if so, determining that the deviation value is abnormal, and generating a manual intervention temperature measurement instruction.

Further, the deviation value initial detection module is further configured to:

constructing a bias sequence based on the bias value;

and identifying whether the deviation direction in the deviation sequence does not accord with the theoretical deviation direction according to the position data of each position, if so, determining that the deviation value is abnormal, and generating a manual intervention temperature measurement instruction.

In a second aspect, embodiments of the present application provide a method for controlling a temperature of a production process of a crosslinked polyethylene cable, the method comprising:

acquiring current temperature data of at least two positions of an extruder and a catenary pipeline of a crosslinked polyethylene cable production line;

calculating deviation values of current temperature data and target temperature data of each position;

the position data, the current temperature data and the deviation value of each position are input into a control model, and an output result of the control model is obtained;

and after the temperature control is carried out according to the output result, the change data of the deviation value after the temperature control is identified, and the control effect data is obtained.

In a third aspect, embodiments of the present application provide an electronic device comprising a processor, a memory and a program or instruction stored on the memory and executable on the processor, the program or instruction implementing the steps of the method according to the first aspect when executed by the processor.

In a fourth aspect, embodiments of the present application provide a readable storage medium having stored thereon a program or instructions which when executed by a processor implement the steps of the method according to the first aspect.

In a fifth aspect, embodiments of the present application provide a chip, where the chip includes a processor and a communication interface, where the communication interface is coupled to the processor, and where the processor is configured to execute a program or instructions to implement a method according to the first aspect.

In the embodiment of the application, the temperature data acquisition module is used for acquiring current temperature data of at least two positions of an extruder and a catenary pipe of a crosslinked polyethylene cable production line; the deviation calculation module is used for calculating deviation values of the current temperature data and the target temperature data of each position; the data input module is used for inputting the position data, the current temperature data and the deviation value of each position into the control model to obtain an output result of the control model; and the control effect identification module is used for identifying the change data of the deviation value after the temperature control is carried out according to the output result, so as to obtain the control effect data. Through the temperature control device in the production process of the crosslinked polyethylene cable, the temperatures of the extruder and the catenary pipeline can be collected, the temperature of the crosslinked polyethylene production line is controlled according to the deviation value of the actual temperature and the target temperature, control effect data after temperature control is obtained, the temperature control precision is effectively improved, and the influence on the crosslinking effect of the cable due to temperature swing is avoided.

Drawings

Fig. 1 is a schematic structural diagram of a temperature control device in a production process of a crosslinked polyethylene cable according to an embodiment of the present application;

fig. 2 is a schematic structural diagram of a temperature controller device in a production process of a crosslinked polyethylene cable according to a second embodiment of the present disclosure;

fig. 3 is a schematic structural view of a temperature control device in the production process of the crosslinked polyethylene cable according to the third embodiment of the present application;

fig. 4 is a schematic structural view of a temperature control device in the production process of the crosslinked polyethylene cable according to the fourth embodiment of the present application;

fig. 5 is a schematic structural view of a temperature control device in the production process of the crosslinked polyethylene cable provided in embodiment five of the present application;

fig. 6 is a schematic structural view of a temperature control device in the production process of the crosslinked polyethylene cable according to the sixth embodiment of the present application;

fig. 7 is a schematic structural view of a temperature control device in the production process of the crosslinked polyethylene cable provided in embodiment seven of the present application;

fig. 8 is a schematic structural view of a temperature control device in the production process of the crosslinked polyethylene cable according to the eighth embodiment of the present application;

fig. 9 is a schematic flow chart of a temperature control method in the production process of the crosslinked polyethylene cable provided in embodiment nine of the present application;

Fig. 10 is a schematic structural diagram of an electronic device according to a tenth embodiment of the present application.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the following detailed description of specific embodiments thereof is given with reference to the accompanying drawings. It is to be understood that the specific embodiments described herein are merely illustrative of the application and not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the matters related to the present application are shown in the accompanying drawings. Before discussing exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart depicts operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently, or at the same time. Furthermore, the order of the operations may be rearranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figures. The processes may correspond to methods, functions, procedures, subroutines, and the like.

Technical solutions in the embodiments of the present application will be clearly described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application are within the scope of the protection of the present application.

The terms first, second and the like in the description and in the claims, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged, as appropriate, such that embodiments of the present application may be implemented in sequences other than those illustrated or described herein, and that the objects identified by "first," "second," etc. are generally of a type and not limited to the number of objects, e.g., the first object may be one or more. Furthermore, in the description and claims, "and/or" means at least one of the connected objects, and the character "/", generally means that the associated object is an "or" relationship.

The temperature control device, the method and the equipment for the production process of the crosslinked polyethylene cable provided by the embodiment of the application are described in detail below through specific embodiments and application scenes thereof with reference to the accompanying drawings.

Example 1

Fig. 1 is a schematic structural diagram of a temperature control device in a production process of a crosslinked polyethylene cable according to an embodiment of the present application. As shown in fig. 1, the method specifically comprises the following steps:

A temperature data acquisition module 101 for acquiring current temperature data of at least two positions of the extruder and the catenary pipe of the crosslinked polyethylene cable production line;

a deviation calculation module 102, configured to calculate a deviation value between the current temperature data and the target temperature data of each location;

the data input module 103 is configured to input position data, current temperature data, and a deviation value of each position into the control model, so as to obtain an output result of the control model;

the control effect identifying module 104 is configured to identify, after temperature control is performed according to the output result, change data of the deviation value after temperature control, and obtain control effect data.

The application scene of the scheme can be a scene that an intelligent terminal collects the temperatures of an extruder and a catenary pipeline in the production process of the crosslinked polyethylene cable and controls the temperatures of corresponding positions in a production line according to deviation values of actual temperature data and target temperature data.

Based on the above usage scenario, it can be understood that the execution subject of the application may be the intelligent terminal, or may be a desktop computer, a notebook computer, a tablet computer, an interactive multimedia device, etc. running the intelligent terminal, which is not limited in any way.

The temperature data acquisition module 101, which may be a temperature sensor, may be disposed at least two locations in the extruder and the catenary pipe for acquiring temperature data in the extruder head and the catenary pipe. Specifically, the crosslinked polyethylene cable can be prepared by converting the cable insulation polyethylene molecule from a linear molecular structure to a main network molecular structure by a chemical method or a physical method, namely, converting thermoplastic polyethylene into thermosetting crosslinked polyethylene, thereby greatly improving the heat resistance and mechanical property, reducing the contractility and maintaining the excellent electrical property. The extruder can be a production machine which can fully plasticize and uniformly mix the crosslinked polyethylene by the pressure and the shearing force generated by the rotation of the screw and can be molded by a die. The catenary pipe can be formed by cooling the crosslinked polyethylene after the cable core is wrapped by the extruder head. The catenary pipeline is internally provided with circulating water as a cooling mechanism, and the crosslinked polyethylene can be better shaped by controlling the temperature.

The manner in which the current temperature data is obtained may be by utilizing the principle that the resistivity of the semiconductor changes with the change of temperature. When the temperature of the measured position changes, the resistance value of the thermistor in the temperature sensor correspondingly changes along with the change of the temperature, so that the output of an electric signal in a circuit is affected, and the temperature value of the current corresponding position can be obtained according to the output electric signal.

The deviation calculating module 102 may be a program design of an intelligent terminal for calculating a deviation value between current temperature data and target temperature data of each position, and specifically, the target temperature data may be an optimal temperature value required to be reached in the production process of the crosslinked polyethylene, and may be set by a staff in advance through a control end of a crosslinked polyethylene production line. The method for calculating the deviation value may be that the intelligent terminal reads the temperature data of the position recorded by the temperature data acquisition module 101, invokes the target temperature data of the corresponding position, and calculates the difference value between the current temperature data and the target temperature data of each position as the deviation value.

The data input module 103 may be a programming of the intelligent terminal to obtain an output result of the control model according to the obtained data information. Specifically, the position data may be a position where temperature data is collected, for example, 20 cm, 50 cm, etc. from the extruder head and the catenary pipe. The control model may be a control model that acquires historical position data, current temperature data, deviation value and output result data in advance, takes the historical position data, the current temperature data and the deviation value as input variables, takes an output result as a label, performs supervised training, and acquires association relations among the position data, the current temperature data, the deviation value and the output result data to construct a prediction output result through the position data, the current temperature data and the deviation value. The output result may be an instruction for controlling the temperature according to the current temperature and the deviation value of each position, for example, if the current temperature of the extruder head is 107 degrees celsius and the deviation value is 5 degrees celsius, the output result may be an instruction for sending a temperature adjustment to a pneumatic regulator of the extruder to raise the temperature of the extruder by 5 degrees celsius.

The output result may be obtained by obtaining position data and current temperature data corresponding to each position through the temperature data obtaining module 101, obtaining a deviation value corresponding to the position through the deviation calculating module 102, inputting the position data and the corresponding current temperature data and deviation value into a control model constructed in advance, and obtaining the output result according to the association relationship among the position data, the current temperature data, the deviation value and the output result data in the control model.

The control effect identifying module 104 may be a program design of the intelligent terminal, which is used for performing temperature control according to the output result, and identifying the change data of the deviation value after temperature control, so as to obtain control effect data. Specifically, the temperature control may be performed by controlling a heating system, a cooling system, a circulating water control system of a catenary pipe, or the like of the extruder according to the output result, and gradually approaching the actual temperature data to the target temperature data by the operation result of each system. The manner of identifying the change data of the deviation value may be to obtain current temperature data after the temperature is controlled, and calculate a difference value between the temperature data and the target temperature data as the change data of the deviation value. The mode of obtaining the control effect data may be that the change data of the identified deviation value is compared with the original deviation value, if the change data of the deviation value is greater than the original deviation value, the control effect is poor; if the change data of the deviation value is smaller than the original deviation value, the control effect is better.

In the embodiment of the application, the temperature data acquisition module is used for acquiring current temperature data of at least two positions of an extruder and a catenary pipe of a crosslinked polyethylene cable production line; the deviation calculation module is used for calculating deviation values of the current temperature data and the target temperature data of each position; the data input module is used for inputting the position data, the current temperature data and the deviation value of each position into the control model to obtain an output result of the control model; and the control effect identification module is used for identifying the change data of the deviation value after the temperature control is carried out according to the output result, so as to obtain the control effect data. Through the temperature control device in the production process of the crosslinked polyethylene cable, the temperatures of the extruder and the catenary pipeline can be collected, the temperature of the crosslinked polyethylene production line is controlled according to the deviation value of the actual temperature and the target temperature, control effect data after temperature control is obtained, the temperature control precision is effectively improved, and the influence on the crosslinking effect of the cable due to temperature swing is avoided.

Example two

Fig. 2 is a schematic structural diagram of a temperature control device in the production process of the crosslinked polyethylene cable according to the second embodiment of the present application. The scheme makes better improvement on the embodiment, and the specific improvement is as follows: the apparatus further comprises: and the acquisition position determining module is used for determining the acquisition position of the temperature data according to the environmental data of the crosslinked polyethylene cable production line and the length of the catenary pipeline.

As shown in fig. 2, the method specifically includes the following steps:

a temperature data acquisition module 201 for acquiring current temperature data of at least two positions of the extruder and the catenary pipe of the crosslinked polyethylene cable production line;

a deviation calculating module 202, configured to calculate a deviation value between the current temperature data and the target temperature data of each location;

the data input module 203 is configured to input position data, current temperature data, and a deviation value of each position into the control model, so as to obtain an output result of the control model;

the control effect identifying module 204 is configured to identify, after temperature control is performed according to the output result, change data of the deviation value after temperature control, and obtain control effect data;

the acquisition position determining module 205 is configured to determine an acquisition position of the temperature data according to environmental data of the crosslinked polyethylene cable production line and a length of the catenary pipe.

The acquisition position determining module 205 may be a programming of an intelligent terminal for determining an acquisition position of current temperature data in a crosslinked polyethylene production line. Specifically, the environmental data of the crosslinked polyethylene cable production line may be data such as an environmental temperature where the crosslinked polyethylene cable production line is located, and the environmental temperature is too low to influence the maintenance of the cooling water temperature, thereby influencing the temperature data of the chain suspension pipeline part in the crosslinked polyethylene cable production line.

The manner in which the acquisition location of the temperature data is determined may be based on the length of the catenary pipe and the magnitude of the temperature change along the catenary pipe location. The temperature change range is large in sections, and the acquisition positions are relatively dense; the temperature change range is small in sections, and the acquisition positions are relatively sparse. For example, when the ambient temperature is low, the maintenance of temperature data is not facilitated, and the distance between adjacent acquisition positions should be correspondingly reduced; and when the catenary pipeline is longer, the number of total acquisition positions and the like should be increased.

The advantage of setting up like this in this scheme is, can regard environmental data and catenary pipeline length of crosslinked polyethylene production line as the theoretical foundation of confirming the acquisition position, makes the temperature data who gathers can more comprehensive accurate reflection crosslinked polyethylene production process's temperature change condition.

Example III

Fig. 3 is a schematic structural diagram of a temperature control device in the production process of the crosslinked polyethylene cable according to the third embodiment of the present application. The scheme makes better improvement on the embodiment, and the specific improvement is as follows: the apparatus further comprises: and the target temperature data determining module is used for inputting the environmental data of the crosslinked polyethylene cable production line, the catenary pipeline length and the production requirement data of the crosslinked polyethylene cable production process into a pre-built simulation model so as to determine the target temperature data of each acquisition position.

As shown in fig. 3, the method specifically includes the following steps:

a temperature data acquisition module 201 for acquiring current temperature data of at least two positions of the extruder and the catenary pipe of the crosslinked polyethylene cable production line;

a deviation calculation module 302, configured to calculate a deviation value between the current temperature data and the target temperature data of each location;

the data input module 303 is configured to input position data, current temperature data, and a deviation value of each position to the control model, so as to obtain an output result of the control model;

the control effect identifying module 304 is configured to identify, after performing temperature control according to the output result, change data of the deviation value after temperature control, and obtain control effect data;

the acquisition position determining module 305 is configured to determine an acquisition position of temperature data according to environmental data of the crosslinked polyethylene cable production line and a catenary pipe length;

the target temperature data determining module 306 is configured to input the environmental data of the crosslinked polyethylene cable production line, the catenary pipe length, and the production requirement data of the crosslinked polyethylene cable production process into a pre-constructed simulation model to determine target temperature data of each acquisition position.

The target temperature data determining module 306 may be a program design of the intelligent terminal for constructing a simulation model, and determining target temperature data of the acquisition position through the simulation model and the acquired data information. Specifically, the production requirement data of the crosslinked polyethylene cable production process can be a specified standard of temperature requirements or temperature values of various process flows in the crosslinked polyethylene production process. For example, in the production of crosslinked polyethylene, the processing temperature of the extruder is specified to be between 107℃and 113 ℃.

The mode of obtaining the production requirement data of the crosslinked polyethylene cable production process may be that before the simulation model is built, a worker inputs the production requirement data of the current cable production process to the intelligent terminal through the display device of the intelligent terminal, and the intelligent terminal stores the data information at a designated position after receiving the related data.

The mode of constructing the simulation model can be to obtain historical environment data, catenary pipeline length, production requirement data and target temperature data corresponding to each acquisition position through big data in advance. Taking the target temperature data of each acquisition position as a label, taking the historical environment data, the catenary pipeline length and the production requirement data as input variables for supervision training, acquiring the association relation between the historical environment data, the catenary pipeline length and the production requirement data and the target temperature data corresponding to each acquisition position, and further constructing a simulation model capable of predicting the target temperature data of each acquisition position through the historical environment data, the catenary pipeline length and the production requirement data.

The mode of determining the target temperature data of each acquisition position may be to input the acquired environmental data of the crosslinked polyethylene cable production line, the length of the catenary pipe, and the production requirement data of the crosslinked polyethylene cable production process into a simulation model constructed in advance, and determine the target temperature data of each acquisition position according to the output result of the simulation model.

The technical scheme has the advantages that the target temperature data of each position can be determined according to the environmental data, the length of the catenary pipeline and the production requirement of the crosslinked polyethylene cable, so that theoretical standards are provided for temperature control in the production flow, and the production of the crosslinked polyethylene cable is more efficient and high-quality.

Example IV

Fig. 4 is a schematic structural diagram of a temperature control device in the production process of the crosslinked polyethylene cable according to the fourth embodiment of the present application. The scheme makes better improvement on the embodiment, and the specific improvement is as follows: the control effect identification module is further configured to: adjusting the water flow speed and/or water flow of the cooling water according to the output result of the control model; and adjusting the working power of the heating pump according to the output result of the control model.

As shown in fig. 4, the method specifically includes the following steps:

a temperature data acquisition module 401 for acquiring current temperature data of at least two positions of the extruder and the catenary pipe of the crosslinked polyethylene cable production line;

a deviation calculating module 402, configured to calculate a deviation value between the current temperature data and the target temperature data of each location;

the data input module 403 is configured to input position data, current temperature data, and a deviation value of each position into the control model, so as to obtain an output result of the control model;

the control effect identifying module 404 is configured to identify, after performing temperature control according to the output result, change data of the deviation value after temperature control, and obtain control effect data.

The control effect identifying module 404 is further configured to adjust a water flow rate and/or a water flow rate of the cooling water according to an output result of the control model;

the method comprises the steps of,

and adjusting the working power of the heating pump according to the output result of the control model.

The water flow rate and/or the water flow rate of the cooling water can be adjusted by controlling the valve size of the cooling water and the power of the water pump. When the water flow rate of the cooling water is increased and/or the water flow rate of the cooling water is increased, the cooling water can take away more heat through the catenary pipeline, so that the temperature data of the environment where the catenary pipeline is located is reduced. The mode of adjusting the water flow speed and/or the water flow of the cooling water can be to read the temperature data and the corresponding deviation value of the catenary pipeline in the output result of the control model, analyze and integrate the magnitude of the deviation value of each position so as to obtain the change data of the whole temperature of the catenary pipeline, and then adjust the water flow and the water flow speed of the cooling water according to the temperature change data.

The heating pump can be a heating device positioned in the extruder and used for increasing the temperature of the environment where the extruder is positioned. The mode of adjusting the working power of the heating pump can be that when the temperature data of the extruder head in the output result of the control model is lower than the target temperature data and the deviation value is larger, the working power of the heating pump is increased to accelerate the temperature rising speed and save the heating time; when the temperature data of the extruder head in the output result of the control model is lower than the target temperature data and the deviation value is smaller, the working power of the heating pump is reduced so as to slow down the temperature rising speed and avoid the temperature value exceeding the target temperature data.

In this embodiment, a program for partially controlling the water flow rate is provided for reference:

#include<LiquidCrystal.h>

LiquidCrystal lcd(7,6,5,4,3,2)；

int X；

int Y；

float TIME＝0；

float FREQUENCY＝0；

float WATER＝0；

float TOTAL＝0；

float LS＝0；

const int input＝A0；

void setup()

{

Serial.begin(9600)；

lcd.begin(16,2)；

lcd.clear()；

lcd.setCursor(0,0)；

lcd.print("Water Flow Meter")；

lcd.setCursor(0,1)；

lcd.print("****************")；

delay(2000)；

pinMode(input,INPUT)；

}

void loop()

{

X＝pulseIn(input,HIGH)；

Y＝pulseIn(input,LOW)；

TIME＝X+Y；

FREQUENCY＝1000000/TIME；

WATER＝FREQUENCY/7.5；LS＝WATER/60；

if(FREQUENCY>＝0)

{

if(isinf(FREQUENCY))

{

lcd.clear()；

lcd.setCursor(0,0)；

lcd.print("VOL.:0.00")；

lcd.setCursor(0,1)；

lcd.print("TOTAL:")；

lcd.print(TOTAL)；

lcd.print("L")；

}

else

{

TOTAL＝TOTAL+LS；

Serial.println(FREQUENCY)；lcd.clear()；

lcd.setCursor(0,0)；

lcd.print("VOL.:")；

lcd.print(WATER)；

lcd.print("L/M")；

lcd.setCursor(0,1)；

lcd.print("TOTAL:")；

lcd.print(TOTAL)；

lcd.print("L")；

}

}

delay(1000)；

}

the advantage that this scheme set up like this is, can be through controlling the flow and the velocity of flow of heat pump and cooling water respectively to the temperature of extruder aircraft nose and each position of catenary pipeline adjust, makes it reach the requirement of target temperature data, and then standardizes the production process of crosslinked polyethylene cable, improves crosslinked polyethylene cable's production efficiency.

Example five

Fig. 5 is a schematic structural diagram of a temperature control device in the production process of the crosslinked polyethylene cable provided in the fifth embodiment of the present application. The scheme makes better improvement on the embodiment, and the specific improvement is as follows: the apparatus further comprises: the control position determining module is used for acquiring control position information of the cooling water cooling section and the setting position of the heating pump; correspondingly, the data input module is further configured to: and inputting the position data, the current temperature data, the deviation value, the control position information and the control device type of each control position information of each position into a control model to obtain an output result of the control model.

As shown in fig. 5, the method specifically includes the following steps:

a temperature data acquisition module 501 for acquiring current temperature data of at least two positions of the extruder and the catenary pipe of the crosslinked polyethylene cable production line;

the deviation calculating module 502 is configured to calculate a deviation value between the current temperature data and the target temperature data of each location;

a data input module 503, configured to input position data, current temperature data, and deviation values of each position into the control model, so as to obtain an output result of the control model;

the control effect identifying module 504 is configured to identify, after temperature control is performed according to the output result, change data of the deviation value after temperature control, and obtain control effect data;

the control position determining module 505 is configured to obtain control position information of the cooling water cooling section and the setting position of the heating pump.

The control effect identifying module 504 is further configured to adjust a water flow rate and/or a water flow rate of the cooling water according to an output result of the control model;

the method comprises the steps of,

and adjusting the working power of the heating pump according to the output result of the control model.

The data input module 503 is further configured to input the position data, the current temperature data, the deviation value, the control position information, and the control device type of each control position information of each position to the control model, so as to obtain an output result of the control model.

The control position determining module 505 may be a programming of the intelligent terminal for obtaining the control positions of the cooling water and the heating pump. Specifically, the method for obtaining the control position information of the cooling water cooling sections may be to adjust the water flow rate and/or the water flow speed of the cooling water in advance, and obtain the temperature change condition of each collecting position in the adjustment process, so as to determine the temperature data change condition of each cooling water cooling section when the water flow rate and/or the water flow speed change, and store the temperature data change condition and the corresponding cooling water flowing section position data in an associated manner. The method for obtaining the control position of the heating pump may be that the intelligent terminal sends a request for obtaining the position of the heating pump to the extruder control system, and obtains the position data of the heating pump therein by reading the information returned by the extruder control system.

The type of control device may be the mode of operation of the control device as well as the mode of function, for example, the function of the heat pump is to raise the temperature of the extruder head and the function of the cooling water is to lower the temperature of the catenary pipe. Correspondingly, the mode of obtaining the output result of the control model may be to use the control position information and the control device type of each control position information as input variables on the basis of the control model of predicting the output result by the position data, the current temperature data and the deviation value, supervise and train the control model, obtain the association relation between the position data, the current temperature data, the deviation value, the control position information and the control device type of each control position information and the output result, and upgrade the control model. After the position data, the current temperature data, the deviation value, the control position information and the control device type of each control position information of each position are obtained, the control device type is input into a control model constructed in advance, so that an output result of the control model is obtained.

The advantage of setting up like this of this scheme is, can consider the position and the type of temperature control device to the influence of output, makes the output of control model more accurate, and then improves crosslinked polyethylene production line temperature control's precision.

Example six

Fig. 6 is a schematic structural diagram of a temperature control device in the production process of the crosslinked polyethylene cable according to the sixth embodiment of the present application. The scheme makes better improvement on the embodiment, and the specific improvement is as follows: the data input module is further specifically configured to: when the output result of the control model is that an effective control signal cannot be output, a manual intervention instruction is generated so as to carry out manual intervention request alarm; and receiving a manual intervention control strategy, and updating the control model based on the manual intervention control strategy.

As shown in fig. 6, the method specifically includes the following steps:

a temperature data acquisition module 601, configured to acquire current temperature data of at least two positions of an extruder and a catenary pipe of a crosslinked polyethylene cable production line;

the deviation calculation module 602 is configured to calculate a deviation value between the current temperature data and the target temperature data of each location;

the data input module 603 is configured to input position data, current temperature data, and a deviation value of each position into the control model, so as to obtain an output result of the control model;

The control effect identifying module 604 is configured to identify, after temperature control is performed according to the output result, change data of the deviation value after temperature control, and obtain control effect data;

the control position determining module 605 is configured to obtain control position information of the cooling water cooling section and the setting position of the heating pump.

The control effect identifying module 604 is further configured to adjust a water flow rate and/or a water flow rate of the cooling water according to an output result of the control model;

the method comprises the steps of,

and adjusting the working power of the heating pump according to the output result of the control model.

The data input module 603 is further configured to input position data, current temperature data, a deviation value, the control position information, and a control device type of each control position information of each position to the control model, so as to obtain an output result of the control model.

The data input module 603 is further specifically configured to generate a manual intervention instruction to perform a manual intervention request alarm when the output result of the control model indicates that an effective control signal cannot be output;

and receiving a manual intervention control strategy, and updating the control model based on the manual intervention control strategy.

The failure to output the effective control signal may be a case where the temperature control is not achieved by controlling the heat pump or the cooling water, and the output result of the control model is failure to output the effective control signal. For example, in the temperature data collected for the catenary pipe, the current temperature data collected at the point a and the point c is greater than the target temperature data at the corresponding position, the current temperature data collected at the point b is less than the target temperature data at the corresponding position, if the water flow rate and/or the water flow speed are increased, the temperatures at the point a and the point c are reduced to be the same as the target temperature data, but the temperature at the point b is more different from the target temperature data, at this time, the temperature data at the point a, the point b and the point c cannot all reach the target temperature data by adjusting the cooling water, and the control model outputs a result that an effective control signal cannot be output.

The mode of carrying out the manual intervention request alarm can be that when the control model output result is identified as that the effective control signal can not be output, the intelligent terminal generates a manual intervention instruction and controls the corresponding display equipment to carry out the manual intervention request alarm on related staff through the popup window. The alarm information may include an output result of the control model, a deviation value of each acquisition position, a temperature control panel of each acquisition position, and the like.

The manual intervention control strategy can be that a worker analyzes the temperature of each acquisition position according to alarm information displayed by the popup window, formulates a temperature adjustment scheme, inputs temperature adjustment values of corresponding positions through a temperature control panel of each acquisition position, and further adjusts and controls the temperature.

The mode of updating the control model can be that based on the output result of the control model, the temperature regulation value input by a worker is obtained and fed back to the control model, so that the control model is iteratively updated based on the feedback data, and further the updating of the control model is completed.

The beneficial effect of setting up like this of this scheme can be when control model output is unable output effective control signal, carries out the manual intervention and adjusts the temperature to according to intervene the result and update control model, make control model's output result next time more accurate.

Example seven

Fig. 7 is a schematic structural diagram of a temperature control device in the production process of the crosslinked polyethylene cable according to the seventh embodiment of the present application. The scheme makes better improvement on the embodiment, and the specific improvement is as follows: the apparatus further comprises: and the deviation value initial detection module is used for identifying whether the deviation value is greater than a set deviation threshold value or not, if so, determining that the deviation value is abnormal, and generating a manual intervention temperature measurement instruction.

As shown in fig. 7, the method specifically includes the following steps:

a temperature data acquisition module 701, configured to acquire current temperature data of at least two positions of an extruder and a catenary pipe of a crosslinked polyethylene cable production line;

a deviation calculating module 702, configured to calculate a deviation value between the current temperature data and the target temperature data of each location;

the data input module 703 is configured to input the position data, the current temperature data, and the deviation value of each position to the control model, so as to obtain an output result of the control model;

the control effect identifying module 704 is configured to identify, after temperature control is performed according to the output result, change data of the deviation value after temperature control, and obtain control effect data;

and the deviation value initial detection module 705 is configured to identify whether the deviation value is greater than a set deviation threshold, and if so, determine that the deviation value is abnormal, and generate a manual intervention temperature measurement instruction.

The initial deviation value detection module 705 may be a program design of an intelligent terminal for identifying an abnormal condition of a deviation value and producing a manual intervention temperature measurement instruction when the deviation value is abnormal. Specifically, the deviation threshold may be a deviation value limit of each temperature data acquisition position of the catenary pipeline, and when the deviation value exceeds the limit value, the temperature change is irregular, and there may be a temperature acquisition error.

The method of determining whether the deviation value is abnormal may be to compare the calculated deviation value with a set deviation threshold value, and if it is recognized that the current deviation value exceeds the set deviation threshold value, determine that the current deviation value is abnormal. The mode of generating the manual intervention temperature measurement instruction can be that after the deviation value is determined to be abnormal, the intelligent terminal controls the display device to generate the manual intervention temperature measurement information through the manual intervention temperature measurement instruction, and prompts related staff through the popup window. The manual intervention temperature measurement information may include information such as an abnormal position of a deviation value, an abnormal value, etc., for example, the deviation value of the position where the catenary pipeline 039 is collected is 7 degrees celsius, the deviation value exceeds a set deviation threshold value of 4 degrees celsius, an abnormality exists, and the manual intervention is requested to re-measure the temperature of the position.

The method has the advantages that whether the deviation value is abnormal or not can be detected according to the set deviation threshold value, the deviation value is timely found and corrected, the influence on the subsequent temperature control is avoided, and the temperature control is more accurate.

Example eight

Fig. 8 is a schematic structural view of a temperature control device in the production process of the crosslinked polyethylene cable according to the eighth embodiment of the present application. The scheme makes better improvement on the embodiment, and the specific improvement is as follows: the deviation value primary detection module is further used for: constructing a bias sequence based on the bias value; and identifying whether the deviation direction in the deviation sequence does not accord with the theoretical deviation direction according to the position data of each position, if so, determining that the deviation value is abnormal, and generating a manual intervention temperature measurement instruction.

As shown in fig. 8, the method specifically includes the following steps:

a temperature data acquisition module 801, configured to acquire current temperature data of at least two positions of an extruder and a catenary pipe of a crosslinked polyethylene cable production line;

a deviation calculating module 802, configured to calculate a deviation value between the current temperature data and the target temperature data of each location;

the data input module 803 is configured to input position data, current temperature data, and a deviation value of each position into the control model, so as to obtain an output result of the control model;

the control effect identifying module 804 is configured to identify, after performing temperature control according to the output result, change data of the deviation value after temperature control, and obtain control effect data;

and the deviation value primary detection module 805 is configured to identify whether the deviation value is greater than a set deviation threshold, and if so, determine that the deviation value is abnormal, and generate a manual intervention temperature measurement instruction.

The deviation value primary detection module 805 is further configured to construct a deviation sequence based on the deviation value;

and identifying whether the deviation direction in the deviation sequence does not accord with the theoretical deviation direction according to the position data of each position, if so, determining that the deviation value is abnormal, and generating a manual intervention temperature measurement instruction.

The deviation sequence can be that the deviation values of all the current acquisition positions are counted, and all the deviation value data are arranged one by one according to the acquisition position sequence to form the deviation value sequence. The theoretical deviation direction may be a deviation change trend that should occur according to the theoretical calculation or the theoretical simulation for each acquisition position, for example, according to the reality law, if the temperature data of the 039 acquisition position should be reduced relative to the 038 acquisition position, the theoretical deviation direction of the position deviation value should be increased.

Correspondingly, the method for determining whether the deviation value is abnormal may be to obtain a theoretical deviation value range and a theoretical deviation direction of each acquisition position, traverse the deviation sequence, compare deviation data in the sequence with deviation directions of adjacent deviation values, and determine that the current deviation value is abnormal if the deviation data exceeds the theoretical deviation value range and/or the deviation directions are different from the theoretical deviation directions.

The method and the device have the advantages that the deviation value which does not accord with the display rule can be identified through the deviation sequence and the theoretical deviation direction, whether the deviation value is abnormal or not can be further determined, and the determination of the abnormal deviation value is more accurate and reasonable.

Example nine

Fig. 9 is a schematic flow chart of a temperature control method in the production process of the crosslinked polyethylene cable according to the ninth embodiment of the present application. As shown in fig. 9, the method specifically comprises the following steps:

s901, acquiring current temperature data of at least two positions of an extruder and a catenary pipeline of a crosslinked polyethylene cable production line;

s902, calculating deviation values of current temperature data and target temperature data of each position;

s903, inputting the position data, the current temperature data and the deviation value of each position into a control model to obtain an output result of the control model;

s904, after temperature control is performed according to the output result, the change data of the deviation value after temperature control is identified, and control effect data is obtained.

In an embodiment of the application, current temperature data of at least two positions of an extruder and a catenary pipe of a crosslinked polyethylene cable production line are obtained; calculating deviation values of current temperature data and target temperature data of each position; the position data, the current temperature data and the deviation value of each position are input into a control model, and an output result of the control model is obtained; and after the temperature control is carried out according to the output result, the change data of the deviation value after the temperature control is identified, and the control effect data is obtained. By the temperature control method in the production process of the crosslinked polyethylene cable, the temperatures of the extruder and the catenary pipeline can be collected, the temperature of the crosslinked polyethylene production line is controlled according to the deviation value of the actual temperature and the target temperature, control effect data after temperature control is obtained, the temperature control precision is effectively improved, and the influence on the crosslinking effect of the cable due to temperature swing is avoided.

The temperature control method for the production process of the crosslinked polyethylene cable provided in the embodiment of the present application corresponds to the temperature control device for the production process of the crosslinked polyethylene cable provided in the foregoing embodiment, and has the same functional modules and beneficial effects, so that repetition is avoided, and no further description is provided here.

Examples ten

As shown in fig. 10, the embodiment of the present application further provides an electronic device 1000, including a processor 1001, a memory 1002, and a program or an instruction stored in the memory 1002 and capable of running on the processor 1001, where the program or the instruction is executed by the processor 1001 to implement each process of the embodiment of the temperature control apparatus in the production process of the crosslinked polyethylene cable, and the same technical effects can be achieved, so that repetition is avoided and no further description is given here.

The electronic device in the embodiment of the application includes the mobile electronic device and the non-mobile electronic device described above.

Example eleven

The embodiment of the present application further provides a readable storage medium, where a program or an instruction is stored on the readable storage medium, and when the program or the instruction is executed by a processor, the processes of the embodiment of the temperature control device for the production process of the crosslinked polyethylene cable are implemented, and the same technical effects can be achieved, so that repetition is avoided, and no further description is given here.

Wherein the processor is a processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium such as a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk or an optical disk, and the like.

Example twelve

The embodiment of the application further provides a chip, the chip includes a processor and a communication interface, the communication interface is coupled with the processor, the processor is used for running a program or an instruction, implementing each process of the temperature control device embodiment in the production process of the crosslinked polyethylene cable, and achieving the same technical effect, so as to avoid repetition, and no further description is provided herein.

It should be understood that the chips referred to in the embodiments of the present application may also be referred to as system-on-chip chips, chip systems, or system-on-chip chips, etc.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element. Furthermore, it should be noted that the scope of the methods and apparatus in the embodiments of the present application is not limited to performing the functions in the order shown or discussed, but may also include performing the functions in a substantially simultaneous manner or in an opposite order depending on the functions involved, e.g., the described methods may be performed in an order different from that described, and various steps may also be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solutions of the present application may be embodied essentially or in a part contributing to the prior art in the form of a computer software product stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk), comprising several instructions for causing a terminal (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the methods described in the embodiments of the present application.

The embodiments of the present application have been described above with reference to the accompanying drawings, but the present application is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those of ordinary skill in the art without departing from the spirit of the present application and the scope of the claims, which are also within the protection of the present application.

The foregoing description is only of the preferred embodiments of the present application and the technical principles employed. The present application is not limited to the specific embodiments described herein, but is capable of numerous obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the present application. Therefore, while the present application has been described in connection with the above embodiments, the present application is not limited to the above embodiments, but may include many other equivalent embodiments without departing from the spirit of the present application, and the scope of the present application is determined by the scope of the claims.

Claims (10)

1. A temperature control device for a process for producing a crosslinked polyethylene cable, the device comprising:

the temperature data acquisition module is used for acquiring current temperature data of at least two positions of the extruder and the catenary pipeline of the crosslinked polyethylene cable production line;

the deviation calculation module is used for calculating deviation values of the current temperature data and the target temperature data of each position;

the data input module is used for inputting the position data, the current temperature data and the deviation value of each position into the control model to obtain an output result of the control model;

and the control effect identification module is used for identifying the change data of the deviation value after the temperature control is carried out according to the output result, so as to obtain the control effect data.

2. The temperature control device for a production process of a crosslinked polyethylene cable according to claim 1, wherein the device further comprises:

and the acquisition position determining module is used for determining the acquisition position of the temperature data according to the environmental data of the crosslinked polyethylene cable production line and the length of the catenary pipeline.

3. The temperature control device for a production process of a crosslinked polyethylene cable according to claim 2, wherein the device further comprises:

and the target temperature data determining module is used for inputting the environmental data of the crosslinked polyethylene cable production line, the catenary pipeline length and the production requirement data of the crosslinked polyethylene cable production process into a pre-built simulation model so as to determine the target temperature data of each acquisition position.

4. The temperature control device for a production process of a crosslinked polyethylene cable according to claim 1, wherein the control effect identifying module is further configured to:

adjusting the water flow speed and/or water flow of the cooling water according to the output result of the control model;

the method comprises the steps of,

and adjusting the working power of the heating pump according to the output result of the control model.

5. The temperature control device for a production process of a crosslinked polyethylene cable according to claim 4, further comprising:

the control position determining module is used for acquiring control position information of the cooling water cooling section and the setting position of the heating pump;

correspondingly, the data input module is further configured to:

and inputting the position data, the current temperature data, the deviation value, the control position information and the control device type of each control position information of each position into a control model to obtain an output result of the control model.

6. The temperature control device for a production process of a crosslinked polyethylene cable according to claim 5, wherein the data input module is further specifically configured to:

when the output result of the control model is that an effective control signal cannot be output, a manual intervention instruction is generated so as to carry out manual intervention request alarm;

and receiving a manual intervention control strategy, and updating the control model based on the manual intervention control strategy.

7. The temperature control device for a production process of a crosslinked polyethylene cable according to claim 1, wherein the device further comprises:

And the deviation value initial detection module is used for identifying whether the deviation value is greater than a set deviation threshold value or not, if so, determining that the deviation value is abnormal, and generating a manual intervention temperature measurement instruction.

8. The temperature control device for a process of producing a crosslinked polyethylene cable according to claim 7, wherein the deviation value preliminary inspection module is further configured to:

constructing a bias sequence based on the bias value;

and identifying whether the deviation direction in the deviation sequence does not accord with the theoretical deviation direction according to the position data of each position, if so, determining that the deviation value is abnormal, and generating a manual intervention temperature measurement instruction.

9. A method for controlling the temperature of a crosslinked polyethylene cable production process, the method comprising:

acquiring current temperature data of at least two positions of an extruder and a catenary pipeline of a crosslinked polyethylene cable production line;

calculating deviation values of current temperature data and target temperature data of each position;

the position data, the current temperature data and the deviation value of each position are input into a control model, and an output result of the control model is obtained;

and after the temperature control is carried out according to the output result, the change data of the deviation value after the temperature control is identified, and the control effect data is obtained.

10. An electronic device comprising a processor, a memory and a program or instruction stored on the memory and executable on the processor, which when executed by the processor, implements the steps of the method of controlling the temperature of a process for producing a crosslinked polyethylene cable according to claim 9.