CN118769515B - Multifunctional extruder for producing plastic protection tube - Google Patents
Multifunctional extruder for producing plastic protection tube Download PDFInfo
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- CN118769515B CN118769515B CN202411275311.9A CN202411275311A CN118769515B CN 118769515 B CN118769515 B CN 118769515B CN 202411275311 A CN202411275311 A CN 202411275311A CN 118769515 B CN118769515 B CN 118769515B
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- 239000004033 plastic Substances 0.000 title claims abstract description 76
- 229920003023 plastic Polymers 0.000 title claims abstract description 76
- 238000000034 method Methods 0.000 claims abstract description 73
- 230000008859 change Effects 0.000 claims abstract description 70
- 238000004519 manufacturing process Methods 0.000 claims abstract description 18
- 230000000875 corresponding effect Effects 0.000 claims description 53
- 230000001105 regulatory effect Effects 0.000 claims description 34
- 238000005070 sampling Methods 0.000 claims description 34
- 238000010438 heat treatment Methods 0.000 claims description 31
- 230000008569 process Effects 0.000 claims description 31
- 230000033228 biological regulation Effects 0.000 claims description 9
- 239000002994 raw material Substances 0.000 claims description 8
- 230000002596 correlated effect Effects 0.000 claims description 7
- 230000009471 action Effects 0.000 claims description 6
- 238000009826 distribution Methods 0.000 claims description 6
- 230000001681 protective effect Effects 0.000 claims description 6
- 238000010137 moulding (plastic) Methods 0.000 abstract description 2
- 230000000694 effects Effects 0.000 description 13
- 230000017525 heat dissipation Effects 0.000 description 12
- 239000000047 product Substances 0.000 description 8
- 239000002245 particle Substances 0.000 description 6
- 238000001125 extrusion Methods 0.000 description 4
- 238000001816 cooling Methods 0.000 description 3
- 238000010606 normalization Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000001276 controlling effect Effects 0.000 description 2
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- 230000036425 denaturation Effects 0.000 description 1
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- 239000012467 final product Substances 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000002844 melting Methods 0.000 description 1
- 230000008018 melting Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000000465 moulding Methods 0.000 description 1
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- 238000007781 pre-processing Methods 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 238000003756 stirring Methods 0.000 description 1
Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B29—WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
- B29C—SHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
- B29C48/00—Extrusion moulding, i.e. expressing the moulding material through a die or nozzle which imparts the desired form; Apparatus therefor
- B29C48/25—Component parts, details or accessories; Auxiliary operations
- B29C48/92—Measuring, controlling or regulating
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B29—WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
- B29C—SHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
- B29C2948/00—Indexing scheme relating to extrusion moulding
- B29C2948/92—Measuring, controlling or regulating
- B29C2948/92504—Controlled parameter
- B29C2948/92704—Temperature
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Abstract
The invention relates to the technical field of plastic molding control, in particular to a multifunctional extruder for producing a plastic protection tube. The temperature control method comprises the steps of obtaining a temperature control degree of a predicted time according to the time sequence difference of adjusted power value data and temperature value data, obtaining a temperature predicted value of the predicted time according to the temperature value of the current time, the acting power of the predicted time and the temperature control degree, obtaining a predicted temperature fluctuation degree of the predicted time according to the local difference of the temperature predicted value in the temperature value data, adjusting PID parameters according to the predicted temperature fluctuation degree, obtaining adjusted PID parameters of the predicted time, and performing PID control on temperature adjusting equipment of the predicted time by utilizing the adjusted PID parameters of the predicted time. According to the invention, the temperature of the plastic protection pipe production process is reasonably controlled by adapting the adjusted PID parameters to the influence of severe change of the predicted moment, so that the quality stability of the plastic protection pipe is ensured.
Description
Technical Field
The invention relates to the technical field of plastic molding control, in particular to a multifunctional extruder for producing a plastic protection tube.
Background
Plastic protective tubes are a tubular article made of plastic material for protecting internal objects from the external environment and are widely used in the laying of cables, optical fibers and other electrical or communication lines that need protection. Since the quality of the plastic protection tube is directly related to its protection effect and service life, it is necessary to ensure the quality of the plastic protection tube. The multifunctional extruder for producing the plastic protection pipe is equipment for producing the plastic protection pipe, and the temperature control of the multifunctional extruder is a key factor affecting the plastic protection pipe.
PID control (Proportional-Integral-DERIVATIVE CONTROL) is an automatic control method widely applied to industrial control systems, and the temperature is regulated by PID control in the prior art, so that the PID control has a good control effect on regulating the temperature. In the traditional PID control process, the temperature is regulated by adopting the set PID control parameters, but the temperature is severely affected by the temperature change, so that the problem that the PID control parameters are difficult to adapt is brought, the output of the PID control parameters cannot be timely regulated to respond to the severe temperature change, the temperature control effect is poor, and the quality of the plastic protection tube is unstable.
Disclosure of Invention
In order to solve the technical problem that the quality of a plastic protection tube is unstable due to poor temperature control effect in the prior art, the invention aims to provide a multifunctional extruder for producing the plastic protection tube, and the adopted technical scheme is as follows:
The invention provides a multifunctional extruder for producing plastic protection pipes, which comprises temperature regulating equipment, a temperature sensor and a power sensor, wherein the temperature regulating equipment is used for regulating the temperature of production raw materials in each temperature control process, the temperature sensor is used for collecting the temperature of the production raw materials, the power sensor is used for collecting the heating power of the temperature regulating equipment, and the controller is used for controlling the temperature regulating equipment, and the controller is connected with the temperature sensor and the power sensor in a sampling way to obtain the temperature value and the power value at all sampling moments, and controls the temperature regulating equipment according to the temperature value and the power value at all sampling moments, wherein the control process comprises the following steps:
Acquiring adjusted power value data and the acting power of the predicted time according to the related conditions of the temperature value data and the power value data corresponding to the preset surrounding time range of the predicted time; acquiring a temperature control degree of a predicted time according to the difference condition of the adjusted power value data and the temperature value data in time sequence, and acquiring a temperature predicted value of the predicted time according to the temperature value of the time before the predicted time, the acting power of the predicted time and the temperature control degree;
The temperature regulation method comprises the steps of obtaining a predicted temperature fluctuation degree of a predicted time according to the local difference condition of a temperature predicted value in temperature value data, regulating a set PID parameter according to the predicted temperature fluctuation degree to obtain a regulated PID parameter of the predicted time, and carrying out PID control on the temperature regulation equipment of the predicted time by utilizing the regulated PID parameter of the predicted time.
Further, the method for acquiring the adjusted power value data and the action power at the predicted time comprises the following steps:
Shifting the power value data by the reference lag time to obtain the shift power value data corresponding to each reference lag time;
Acquiring temperature control related indexes corresponding to each reference lag time according to the correlation coefficients of the temperature value data corresponding to the preset surrounding time range of the predicted time and the moving power value data corresponding to each reference lag time;
The reference lag time corresponding to the maximum temperature control related index is used as temperature control lag time, the moving power value data corresponding to the temperature control lag time is used as adjusted power value data, and the power value corresponding to the predicted time in the adjusted power value data is used as the acting power of the predicted time.
Further, the method for obtaining the temperature control degree comprises the following steps:
Acquiring all surrounding moments of the predicted moment;
Acquiring a power difference index of each surrounding moment according to the power value of each surrounding moment and the difference condition of adjacent power values;
Acquiring a temperature difference index of each surrounding moment according to the temperature value of each surrounding moment and the difference condition of adjacent temperature values;
acquiring a local temperature control index of each surrounding moment according to the deviation condition of the power difference index and the temperature difference index of each surrounding moment;
And obtaining the temperature control degree according to the overall distribution of the local temperature control indexes at all surrounding moments.
Further, the method for acquiring the surrounding time comprises the step of taking the sampling time of the preset number of surrounding times before the predicted time as all surrounding time of the predicted time.
Further, the method for obtaining the power difference index comprises the following steps:
and calculating the difference value of the power values of each surrounding moment to obtain the power difference index of each surrounding moment.
Further, the method for obtaining the temperature predicted value comprises the following steps:
acquiring a power change parameter at the predicted moment according to the difference condition of the acting power at the predicted moment and the power value at the previous moment;
acquiring a temperature change parameter at the predicted time according to the power change parameter at the predicted time and the temperature control degree;
and integrating the temperature change parameter and the temperature value at the moment before the predicted moment to obtain the temperature predicted value at the predicted moment.
Further, the method for acquiring the predicted temperature fluctuation degree at the predicted time comprises the following steps:
Acquiring a surrounding fluctuation index of the predicted time according to the fluctuation of the temperature values corresponding to all the reference fluctuation time;
acquiring a predicted fluctuation index of the predicted moment according to the difference condition between the temperature predicted value of the predicted moment and the overall distribution of the temperature values of all the reference fluctuation moments;
According to the deviation condition between the predicted fluctuation index and the surrounding fluctuation index at the predicted time, the predicted temperature fluctuation degree at the predicted time is obtained, the predicted fluctuation index and the predicted temperature fluctuation degree are positively correlated, and the surrounding fluctuation index and the predicted temperature fluctuation degree are negatively correlated.
Further, the method for obtaining the prediction fluctuation index comprises the following steps:
Calculating the average value of the temperature values of all the reference fluctuation moments at the prediction moment to obtain the whole surrounding temperature value at the prediction moment, and calculating the absolute value of the difference value between the temperature prediction value at the prediction moment and the whole surrounding temperature value to obtain the prediction fluctuation index.
Further, the method for acquiring the adjusted PID parameter at the predicted time comprises the following steps:
the set PID parameters comprise a preset proportional coefficient, a preset integral coefficient and a preset differential coefficient;
calculating the sum of the 1 and the predicted temperature fluctuation degree, and calculating the product of the sum and a preset proportionality coefficient to obtain an adjusted proportionality coefficient;
calculating the difference value between the 1 and the predicted temperature fluctuation degree, and calculating the product of the difference value and a preset integral coefficient to obtain an adjusted integral coefficient;
calculating the sum of the 1 and the predicted temperature fluctuation degree, and calculating the product of the sum and a preset differential coefficient to obtain an adjusted differential coefficient;
And taking the adjusted proportional coefficient, the adjusted integral coefficient and the adjusted differential coefficient as the adjusted PID parameters of the prediction time.
Further, the last sampling time is the current time, and the next time of the current time is taken as the predicted time.
The invention has the following beneficial effects:
The invention mainly aims to reasonably control the temperature of temperature regulation equipment in a temperature control process, and reasonably control the temperature of a plastic protection pipe production process by predicting the temperature value at the prediction time and adjusting the PID control parameter at the prediction time according to the fluctuation of the prediction result. In order to predict the temperature value at the predicted time, since the power of the temperature adjusting device is a main factor affecting the temperature change, it is necessary to analyze the influence of the power value of the temperature adjusting device on the temperature, and to obtain the adjusted power value data in consideration of a certain hysteresis of the temperature change of the plastic caused by the power of the temperature adjusting device, so that the adjusted power value data and the temperature value data are aligned in time, so as to more accurately reflect the instant influence of the power on the temperature change, and the reactive power at the predicted time reflects the corresponding power value of the temperature change generated at the predicted time. The temperature control degree of the predicted time is obtained, the temperature control degree reflects the influence of the power change of the temperature regulating equipment on the temperature change at the predicted time, so that the temperature predicted value of the predicted time is obtained, and the temperature predicted value can accurately reflect the temperature value of the predicted time. Considering that PID parameters are difficult to adapt to the severe influence of temperature variation, the effect of PID control on temperature adjustment is poor. The predicted temperature fluctuation degree reflects the intensity of the change of the predicted temperature value, and the larger the predicted temperature fluctuation degree is, the more likely the drastic change is. The PID parameters are adjusted to obtain adjusted PID parameters at the prediction time, and the adjusted PID parameters can be well adapted to the influence of severe change at the prediction time, so that the temperature at the prediction time is reasonably controlled, the reasonable temperature control of the plastic protection tube production process is realized, and the quality stability of the plastic protection tube is ensured.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions and advantages of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic view of a barrel of a multifunctional extruder for producing plastic protective tubes according to an embodiment of the present invention;
fig. 2 is a schematic view of the overall structure of a device of a multifunctional extruder for producing plastic protection pipes according to an embodiment of the present invention;
FIG. 3 is a flow chart of a temperature control method for producing plastic protective tubing according to one embodiment of the present invention;
FIG. 4 is a flowchart of a method for obtaining adjusted power value data and active power according to an embodiment of the present invention;
Reference numerals:
1. A barrel; 2, a feed hopper, 3, a conical screw, 4, a discharge port, 5, a motor, 6, a first heating component, 7, a second heating component, 8, a filter screen, 9, a cooling fan, 10, a first temperature sensor, 11, a second temperature sensor and 12, and a controller.
Detailed Description
In order to further describe the technical means and effects adopted by the invention to achieve the preset aim, the following detailed description refers to the specific implementation, structure, characteristics and effects of a multifunctional extruder for producing plastic protection pipes according to the invention in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" means that the embodiments are not necessarily the same. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The invention provides a multifunctional extruder for producing plastic protection pipes, which is specifically disclosed by the invention with reference to the accompanying drawings.
Referring to fig. 1, a schematic structural diagram of a barrel of a multifunctional extruder for producing plastic protection pipes according to an embodiment of the present invention is shown, and fig. 2 is a schematic structural diagram of an entire device of a multifunctional extruder for producing plastic protection pipes according to an embodiment of the present invention.
Referring to fig. 1 and 2, a process for producing a plastic protection tube by using a multifunctional extruder for producing a plastic protection tube according to an embodiment of the present invention includes:
(1) The preparation process of the raw materials comprises the step of adding various plastic fixed particles into a feed hopper 2 for stirring treatment, so as to mix different types of plastic particles and ensure the uniformity and consistency of the raw materials. (2) Heating process after the raw material particles enter the cylinder 1, the raw material particles are heated to a molten state by a heating assembly composed of a first heating assembly 6 and a second heating assembly 7. The heating assembly is capable of converting solid plastic particles into molten plastic for subsequent processing. (3) The plastic in the molten state is conveyed forward by means of a conical screw 3 inside the barrel 1. Wherein the motor 5 controls the speed at which the conical screw 3 conveys the plastic. (4) And in the filtering treatment process, the molten plastic is filtered through a filter screen 8 in the machine barrel 1, the filter screen 8 is used for preventing plastic particles which are not completely melted from entering a subsequent extrusion forming process, so that the quality of a final product is affected, after the molten plastic passes through the filter screen 8, the temperature is detected by a first temperature sensor 10, and the temperature of the first temperature sensor 10 reflects the temperature of the plastic after the heating process. (5) The heat dissipation process is further temperature controlled by the heat dissipation fan 9. Thereby preventing the plastic from being excessively high in the subsequent extrusion process, causing decomposition and denaturation of chemical components in the plastic, affecting the physical property and chemical stability of the product, and detecting the temperature through the second temperature sensor 11, wherein the temperature of the second temperature sensor 11 reflects the temperature of the plastic after the heat dissipation process. (6) Extrusion molding, namely extruding and molding the molten plastic subjected to temperature control through a discharge hole 4 to obtain the production plastic protection pipe. In addition, the extruder is provided with a power sensor (not shown in the figure) which can read the power of the heating assembly and the radiator fan 9. The controller 12 is connected with the first temperature sensor 10, the second temperature sensor 11 and the power sensor in a sampling way, and in the heating process and the heat dissipation process, the controller 12 can read the temperature of the first temperature sensor 10, the temperature of the second temperature sensor 11 and the power of the heating component and the heat dissipation fan 9 to control the motor 5, the first heating component 6, the second heating component 7 and the heat dissipation fan 9. The process of controlling the first heating assembly 6, the second heating assembly 7, and the heat radiation fan 9 by the controller 12 will be described in detail below.
Referring to fig. 3, a flow chart of a temperature control method of a multifunctional extruder for producing plastic protection pipes according to an embodiment of the invention is shown, the method comprises the following steps:
step S1, acquiring a process data set of a temperature control process, wherein the process data set comprises a set PID parameter of temperature regulating equipment, a temperature value corresponding to a temperature sensor at each sampling time and a power value of the temperature regulating equipment.
Specifically, for the subsequent temperature control, it is considered that there are two temperature control processes, namely, a heating process and a heat dissipation process, of the multifunctional extruder for plastic protection tube production.
And the temperature of the plastic is controlled by the heating component in the heating process, so that the plastic is heated to a molten state, and the temperature value corresponding to the heated plastic can be monitored by the first temperature sensor. The method comprises the steps of taking a heating component as temperature regulating equipment, taking a first temperature sensor as a temperature sensor, synchronously collecting data in the production process of the plastic protection tube according to a preset sampling frequency, obtaining the power value of the heating component at each sampling time from a power sensor, and obtaining the temperature value corresponding to the first temperature sensor at each sampling time. The set PID parameters of the heating assembly are obtained. The PID parameters include a preset scaling factor, a preset differential factor and a preset integral factor, and it should be noted that the preset scaling factor, the preset differential factor and the preset integral factor may be obtained by a Ziegler-Nichols method, which is a known technique and will not be described herein. The process data set of the heating process is the set PID parameters of the heating component, the temperature value corresponding to the first temperature sensor at each sampling time and the power value of the heating component.
In the heat dissipation process, further temperature control is performed through the heat dissipation fan, so that the temperature of the plastic in the subsequent extrusion process is prevented from being too high, the cooled plastic can be stabilized in a preset temperature range, and the temperature detected by the second temperature sensor can be used for monitoring the corresponding temperature value of the cooled plastic. And according to the preset sampling frequency, synchronous data acquisition is carried out on the production process of the plastic protection tube, the power value of the cooling fan at each sampling time is obtained from the power sensor, and the temperature value corresponding to the second temperature sensor at each sampling time is obtained. And obtaining the set PID parameters of the cooling fan. The process data set of the heat dissipation process is the set PID parameters of the heat dissipation fan, the temperature value corresponding to the second temperature sensor at each sampling time and the power value of the heat dissipation fan.
The method comprises the steps of acquiring a process data set of a heating process and a radiating process, wherein the process data set comprises PID parameters of temperature regulating equipment, temperature values corresponding to temperature sensors at each sampling time and power values of the temperature regulating equipment. Since the present invention performs temperature control process similarly to the heating process and the heat radiation process, the present invention is described with the heating process as the temperature control process.
In one embodiment of the present invention, synchronous sampling is performed according to a preset frequency, and each sampling is taken as a sampling time, and the preset frequency is 1 time/second. It should be noted that, in order to facilitate the operation, all index data involved in the operation in the embodiment of the present invention is subjected to data preprocessing, so as to cancel the dimension effect. The specific means for removing the dimension influence is a technical means well known to those skilled in the art, and is not limited herein. It should be noted that, in one embodiment of the present invention, the last sampling time is the current time.
Step S2, acquiring temperature value data and power value data according to the temperature values and power values of all sampling moments, acquiring adjusted power value data and action power of the predicted moment according to the related conditions of the temperature value data and the power value data corresponding to the preset surrounding time range of the predicted moment, acquiring a temperature control degree of the predicted moment according to the time sequence difference condition of the adjusted power value data and the temperature value data, and acquiring a temperature predicted value of the predicted moment according to the temperature value of the current moment, the action power of the predicted moment and the temperature control degree.
The invention mainly aims to reasonably control the temperature of temperature regulation equipment in a temperature control process, and reasonably control the temperature of a plastic protection pipe production process by predicting the temperature value at the prediction time and adjusting the PID control parameter at the prediction time according to the fluctuation of the prediction result. In order to predict the temperature value at the predicted time, since the power of the temperature adjusting device is a main factor affecting the temperature change, it is necessary to analyze the influence of the power value of the temperature adjusting device on the temperature, and to obtain the adjusted power value data in consideration of a certain hysteresis of the temperature change of the plastic caused by the power of the temperature adjusting device, so that the adjusted power value data and the temperature value data are aligned in time, so as to more accurately reflect the instant influence of the power on the temperature change, and the reactive power at the predicted time reflects the corresponding power value of the temperature change generated at the predicted time. The temperature control degree of the predicted time is obtained, the temperature control degree reflects the influence of the power change of the temperature regulating equipment on the temperature change at the predicted time, so that the temperature predicted value of the predicted time is obtained, and the temperature predicted value can accurately reflect the temperature value of the predicted time.
In order to facilitate the later analysis of the hysteresis of the temperature value data compared to the power value data, the temperature value data and the power value data are first constructed. Preferably, in one embodiment of the present invention, the method for acquiring temperature value data and power value data includes:
Taking coordinate points determined by the temperature value at the sampling moment in the temperature two-dimensional coordinate system as one temperature data point, counting all the temperature data points, and obtaining temperature value data;
And taking coordinate points determined by the power value at the sampling moment in the power two-dimensional coordinate system as a power data point, counting all the power data points, and obtaining power value data.
Since the last sampling time is the current time, in order to predict the next time of the current time, in one embodiment of the present invention, the next time of the current time is taken as the predicted time.
Considering that the motor controls the conical screw to transmit the plastic, the conical screw can have certain adjustment along with the temperature fluidity and the like of the molten plastic, for example, when the extruder starts to operate, the solid mixed plastic is relatively slow in melting speed due to relatively low internal temperature of the cavity, so that the screw rotating speed is relatively slow in the time neighborhood corresponding to the starting time, and the lag time is long. The speed of the conical screw is controlled by a motor to have certain persistence and inertia. By analyzing the preset surrounding time range of the predicted time, the lag time corresponding to the predicted time can be better analyzed. In one embodiment of the invention, the method for acquiring the preset surrounding time range comprises the step of taking the time range corresponding to the sampling time of the preset number before the predicted time as the preset surrounding time range of the predicted time. In one embodiment of the invention, the predetermined number is 50.
In consideration of certain hysteresis of temperature change of plastics caused by power of temperature regulating equipment, the power value data after adjustment is acquired, so that the power value data after adjustment and the temperature value data are aligned in time, and the instant influence of power on the temperature change is reflected more accurately. The active power reflection at the predicted time results in a temperature change corresponding power value at the predicted time.
Referring to fig. 4, a flowchart of a method for acquiring adjusted power value data and active power according to an embodiment of the present invention is shown, and preferably, the method for acquiring adjusted power value data and active power at a predicted time according to an embodiment of the present invention includes:
Step S201, each reference lag time is obtained, the power value data is moved by the reference lag time, and the movement power value data corresponding to each reference lag time is obtained.
Reference hysteresis times in one embodiment of the invention include 0, 1,2, 3. And moving the power value data rightward by reference lag time based on a two-dimensional coordinate system, and acquiring movement power value data corresponding to each reference lag time.
Step S202, according to the correlation coefficient of the temperature value data corresponding to the preset surrounding time range of the predicted time and the moving power value data corresponding to each reference lag time, acquiring a temperature control correlation index corresponding to each reference lag time.
It is contemplated that during heating, the power of the first heating assembly tends to increase, which also increases the temperature of the plastic, thereby causing the first temperature sensor to detect an increase in temperature. Under the effect of eliminating the lag time, the power and the temperature have a strong correlation. The temperature control related index reflects the degree of correlation between the temperature value data and the moving power value data corresponding to each reference lag time, and the larger the value is, the larger the degree of correlation is.
According to the embodiment of the invention, the absolute value of the pearson correlation coefficient of the preset surrounding time range corresponding to the temperature value data and the movement power value data corresponding to each reference lag time at the prediction time is calculated, so that the temperature control correlation index corresponding to each reference lag time is obtained. It should be noted that, the pearson correlation coefficient is a prior art well known to those skilled in the art, and will not be described herein.
Step S203, taking the reference lag time corresponding to the maximum temperature control related index as the temperature control lag time, taking the moving power value data corresponding to the temperature control lag time as the adjusted power value data, and taking the power value corresponding to the predicted time in the adjusted power value data as the acting power of the predicted time.
The power and temperature have a strong correlation considering the effect in excluding the lag time. The temperature control lag time reflects the lag time between temperature changes in the plastic caused by the power of the temperature regulating device. And acquiring the adjusted power value data, so that the influence of time hysteresis is eliminated from the adjusted power value data and the temperature value data, and the action power at the prediction moment reflects the action of the power value corresponding to the temperature change of the plastic at the prediction moment.
For example, the temperature value data is T (T), the power value data is P (T), wherein T represents the sampling time and the temperature control lag time isIntroduction ofExpressing the moving power value data corresponding to the temperature control lag time,=P(t-) T (T) andThe influence of time lag can be eliminated, and the instant influence of power on temperature change can be reflected more accurately.
In order to analyze the influence of the power change of the temperature adjustment device on the temperature change at the predicted time, preferably, in one embodiment of the present invention, the method for acquiring the temperature control degree includes:
Acquiring all surrounding moments of the predicted moment;
Acquiring a power difference index of each surrounding moment according to the power value of each surrounding moment and the difference condition of adjacent power values;
Acquiring a temperature difference index of each surrounding moment according to the temperature value of each surrounding moment and the difference condition of adjacent temperature values;
acquiring a local temperature control index of each surrounding moment according to the deviation condition of the power difference index and the temperature difference index of each surrounding moment;
and obtaining a temperature control degree according to the overall distribution of the local temperature control indexes at all surrounding moments.
Specifically, the sampling time of the preset number of surrounding times before the predicted time is taken as all surrounding times of the predicted time, wherein the surrounding time does not include the predicted time. The method comprises the steps of calculating a difference value of power values of each surrounding moment to obtain a power difference index of each surrounding moment, calculating a difference value of a temperature value of each surrounding moment to obtain a temperature difference index of each surrounding moment, calculating a sum value of the power difference index and a denominator regulating factor, and calculating a ratio of the temperature difference index to the sum value to obtain a local temperature control index of each surrounding moment. In one embodiment of the present invention, the denominator adjustment factor is used to ensure that the denominator is not 0, and the denominator adjustment factor is a number greater than 0, which is set to 0.1 in this embodiment, and the implementer can set the denominator adjustment factor according to implementation scenarios. And calculating the average value of the local temperature control indexes at all surrounding moments to obtain a temperature control degree. It should be noted that, in the present invention, a backward difference is used to calculate the difference value, that is, the current data is subtracted from the latter data. In one embodiment of the present invention, the preset number of surroundings is 100, and the practitioner can set the number according to the implementation scenario.
In order to analyze the influence of the power change of the temperature regulating device at the predicted time on the temperature change, the difference of the influence of the change of different powers on the temperature change is considered, the power effect of the temperature regulating device is considered to have certain persistence, and all surrounding time points of the predicted time are taken as the sampling time points of the preset surrounding number before the predicted time point. By analyzing all surrounding moments of the predicted moment, the influence of the power change at the predicted moment on the temperature change can be better analyzed. The larger the power difference index at the surrounding time, the larger the power at the surrounding time becomes compared with the previous time, and the larger the temperature difference index at the surrounding time becomes, the larger the temperature at the surrounding time becomes compared with the previous time. The local temperature control index reflects the degree of temperature change caused by the corresponding power change at the surrounding moment, and the temperature control degree reflects the influence of the power change of the temperature regulating equipment at the predicted moment on the temperature change.
In one embodiment of the present invention, the temperature control system obtaining formula includes:
In the formula, The total number of all surrounding moments for a predicted moment; Is the first Temperature difference indicators at each surrounding instant; Is the first Power difference indicators at various surrounding moments; Is a denominator regulatory factor.
In order to obtain a temperature value at a predicted time, preferably, an embodiment of the present invention provides a method for obtaining a temperature predicted value, including:
acquiring a power change parameter at the predicted moment according to the difference condition of the acting power at the predicted moment and the power value at the previous moment;
acquiring a temperature change parameter at the predicted time according to the power change parameter at the predicted time and the temperature control degree;
and integrating the temperature change parameter and the temperature value at the current moment to obtain a temperature predicted value at the predicted moment.
The method comprises the steps of calculating a difference value between the acting power at a prediction time and a power value at a time before the prediction time to obtain a power change parameter at the prediction time, calculating a product of a power change index at the prediction time and a temperature control degree to obtain a temperature change parameter at the prediction time, and calculating a sum of the temperature change parameter and a temperature value at the current time to obtain a temperature prediction value at the prediction time.
The method comprises the steps of obtaining a power change parameter of a predicted time according to the power change parameter of the predicted time and a temperature control degree, wherein the power change parameter of the predicted time reflects the power value of the predicted time compared with the power value of the previous time, the influence of the power change of temperature regulating equipment of the predicted time on the temperature change is considered, the power change parameter of the predicted time and the temperature control degree are reflected, and the temperature change parameter can reflect the power-induced temperature degree of the predicted time. And integrating the temperature change parameter and the temperature value at the current moment to obtain a temperature predicted value at the predicted moment. The temperature predicted value can accurately reflect the temperature value corresponding to the predicted time.
Thus, a temperature predicted value is obtained.
Step S3, obtaining the predicted temperature fluctuation degree of the predicted time according to the local difference condition of the temperature predicted value in the temperature value data, adjusting the PID parameter according to the predicted temperature fluctuation degree to obtain the adjusted PID parameter of the predicted time, and performing PID control on the temperature regulating equipment of the predicted time by utilizing the adjusted PID parameter of the predicted time.
Considering that PID parameters are difficult to adapt to the severe influence of temperature variation, the effect of PID control on temperature adjustment is poor. The predicted temperature fluctuation degree reflects the intensity of the change of the predicted temperature value, and the larger the predicted temperature fluctuation degree is, the more likely the drastic change is. The PID parameters are adjusted to obtain adjusted PID parameters at the prediction time, and the adjusted PID parameters can be well adapted to the influence of severe change at the prediction time, so that the temperature at the prediction time is reasonably controlled, the reasonable temperature control of the plastic protection tube production process is realized, and the quality stability of the plastic protection tube is ensured.
In order to analyze the intensity of the change of the predicted temperature value, preferably, in one embodiment of the present invention, the method for obtaining the predicted temperature fluctuation degree at the predicted time includes:
Acquiring a surrounding fluctuation index of the predicted time according to the fluctuation of the temperature values corresponding to all the reference fluctuation time;
Acquiring a predicted fluctuation index of the predicted moment according to the difference condition between the temperature predicted value of the predicted moment and the overall distribution of the temperature values of all the reference fluctuation moments;
According to the deviation condition between the predicted fluctuation index and the surrounding fluctuation index at the predicted time, the predicted temperature fluctuation degree at the predicted time is obtained, the predicted fluctuation index and the predicted temperature fluctuation degree are positively correlated, and the surrounding fluctuation index and the predicted temperature fluctuation degree are negatively correlated.
Specifically, the sampling time of the preset fluctuation quantity before the predicted time is taken as the reference fluctuation time of the predicted time. The preset fluctuation number is 100, and the implementer can set according to the implementation scene. And calculating standard deviations of the temperature values corresponding to all the reference fluctuation moments to obtain the surrounding fluctuation indexes of the predicted moment. The method comprises the steps of calculating the average value of temperature values of all reference fluctuation moments at the prediction moment to obtain a surrounding integral temperature value at the prediction moment, calculating the absolute value of the difference value between the temperature prediction value at the prediction moment and the surrounding integral temperature value to obtain a prediction fluctuation index, calculating the sum value of the surrounding integral temperature value and a denominator regulating parameter, calculating the ratio of the prediction fluctuation index at the prediction moment to the sum value, and normalizing the ratio value to obtain the prediction temperature fluctuation degree at the prediction moment. In one embodiment of the invention, normalization is performed byThe normalization function normalizes and limits the range of values to between 0 and 1.
In one embodiment of the present invention, the formula of the predicted temperature fluctuation degree at the predicted time is:
In the formula, The predicted temperature fluctuation degree is the predicted time; A temperature predicted value for a predicted time; The average value of the temperature values at all the reference fluctuation moments at the prediction moment is the surrounding integral temperature value at the prediction moment; Is a predicted fluctuation index; The standard deviation of the temperature values at all the reference fluctuation moments at the prediction moment is the surrounding fluctuation index at the prediction moment; Is a normalization function; for the denominator adjustment parameter, the denominator adjustment parameter of one embodiment of the invention takes a value of 0.01 to prevent the denominator from being 0, and an implementer can set the denominator adjustment parameter according to implementation scenes.
In the predicted temperature fluctuation formula at the predicted time,Reflecting the temperature fluctuation degree at the predicted time, wherein the larger the value is, the larger the corresponding temperature fluctuation degree at the predicted time is; The predicted temperature fluctuation degree reflects the fluctuation degree of the predicted time, and the larger the value is compared with the fluctuation degree of the temperature in the previous time, the larger the predicted temperature fluctuation degree is, which means that the predicted temperature value changes more severely.
In one embodiment of the present invention, the method for obtaining the adjusted PID parameter at the predicted time includes:
the PID parameters comprise a preset proportional coefficient, a preset integral coefficient and a preset differential coefficient;
Acquiring an adjusted proportional coefficient according to a preset proportional coefficient and a predicted temperature fluctuation degree, wherein the preset proportional coefficient and the predicted temperature fluctuation degree are positively correlated with the adjusted proportional coefficient;
acquiring an adjusted integral coefficient according to a preset integral coefficient and a predicted temperature fluctuation degree, wherein the preset integral coefficient and the adjusted integral coefficient are in positive correlation, and the predicted temperature fluctuation degree and the adjusted integral coefficient are in negative correlation;
acquiring an adjusted differential coefficient according to a preset differential coefficient and a predicted temperature fluctuation degree, wherein the preset differential coefficient and the predicted temperature fluctuation degree are positively correlated with the adjusted differential coefficient;
and taking the adjusted proportional coefficient, the adjusted integral coefficient and the adjusted differential coefficient as adjusted PID parameters of the prediction time.
Specifically, the sum of the 1 and the predicted temperature fluctuation degree is calculated, the product of the sum and the preset proportionality coefficient is calculated to obtain the adjusted proportionality coefficient, the difference of the 1 and the predicted temperature fluctuation degree is calculated, and the product of the difference and the preset integral coefficient is calculated to obtain the adjusted integral coefficient. Calculating the sum of the fluctuation degree of the 1 and the predicted temperature, calculating the product of the sum and a preset differential coefficient to obtain an adjusted differential coefficient, and taking the adjusted proportional coefficient, the adjusted differential coefficient and the adjusted integral coefficient as the adjusted PID parameter at the predicted time.
In one embodiment of the invention, the response to the current error is immediately responded to in consideration of the fact that the response speed of the system is increased due to the effect of the proportionality coefficient, so that the error is reduced. The greater the predicted temperature fluctuation, the greater the intensity of the temperature value change at the predicted time, and the greater the need to adjust the preset proportionality coefficient, so that the system can respond more quickly and reduce errors. The adjusted proportional coefficient obtaining formula comprises:
In the formula, The adjusted proportionality coefficient is the predicted time; The predicted temperature fluctuation degree is the predicted time; is a preset proportionality coefficient.
In one embodiment of the present invention, since the integral factor functions to eliminate steady state errors, the control amount is gradually adjusted by accumulating past errors. While the integration helps to eliminate steady state errors, excessive integration coefficients can cause the system to overshoot or oscillate when the temperature changes drastically. Considering that the greater the fluctuation degree of the predicted temperature is, the greater the intensity of the temperature value change at the predicted moment is, the more the preset integral coefficient needs to be reduced, so as to avoid the excessively fast accumulated error of the integral term and influence the stability of the system. The adjusted integral coefficient obtaining formula comprises:
In the formula, The integral coefficient is the adjusted integral coefficient of the prediction moment; The predicted temperature fluctuation degree is the predicted time; The integral coefficient is preset.
In one embodiment of the invention, as the differential coefficient is used for improving the dynamic performance of the system, the control quantity is adjusted in advance by predicting the change trend of the error, thereby being beneficial to reducing overshoot and oscillation. Considering that the greater the fluctuation degree of the predicted temperature is, the greater the intensity of the temperature value change at the predicted moment is, and the greater the preset differential coefficient is, the better the change of the predicted error of the system can be helped, so that the system can be more stably transited to a new steady state, and overshoot and oscillation are reduced. The adjusted differential coefficient obtaining formula comprises:
In the formula, The adjusted differential coefficient is the predicted time; The predicted temperature fluctuation degree is the predicted time; Is a preset differential coefficient.
And taking the adjusted proportional coefficient, the adjusted differential coefficient and the adjusted integral coefficient as adjusted PID parameters of the prediction time. The adjusted PID parameters can be well adapted to the influence of severe change of the predicted time, so that the temperature of the predicted time is reasonably controlled, the reasonable temperature control of the plastic protection tube production process is realized, and the quality stability of the plastic protection tube is ensured.
And further, PID control is carried out on the temperature regulating equipment at the predicted time by utilizing the PID parameters after the adjustment at the predicted time. It should be noted that the PID control is a common feedback control method, which is a well known technique for those skilled in the art, and will not be described herein.
In summary, the embodiment of the invention provides a multifunctional extruder for plastic protection tube production, which is characterized by firstly acquiring a temperature control degree at a prediction time according to the time sequence difference of adjusted power value data and temperature value data, acquiring a temperature prediction value at the prediction time according to a temperature value at the current time, acting power at the prediction time and the temperature control degree, acquiring a prediction temperature fluctuation degree at the prediction time according to the local difference of the temperature prediction value in the temperature value data, adjusting PID parameters according to the prediction temperature fluctuation degree, acquiring the adjusted PID parameters at the prediction time, and performing PID control on temperature regulating equipment at the prediction time by utilizing the adjusted PID parameters at the prediction time. According to the embodiment of the invention, the temperature of the plastic protection pipe production process is reasonably controlled by adapting the adjusted PID parameters to the influence of severe change of the predicted moment, so that the quality stability of the plastic protection pipe is ensured.
It should be noted that the sequence of the embodiments of the present invention is only for description, and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments.
Claims (5)
1. The utility model provides a multi-functional extruder is used in production of plastics protection tube, its characterized in that, the extruder is including corresponding every temperature control in-process be used for carrying out temperature regulation's temperature regulation equipment to the raw materials of production, be used for carrying out the temperature sensor who gathers the raw materials of production temperature, be used for right the temperature regulation equipment heating power gathers the power sensor, and be used for right the controller that temperature regulation equipment controlled, the controller sampling is connected temperature sensor and power sensor are in order to obtain the temperature value and the power value of all sampling moments, and according to all sampling moments the temperature value and the power value are controlled the temperature regulation equipment, and the control process includes:
Acquiring adjusted power value data and the acting power of the predicted time according to the related conditions of the temperature value data and the power value data corresponding to the preset surrounding time range of the predicted time; acquiring a temperature control degree of a predicted time according to the difference condition of the adjusted power value data and the temperature value data in time sequence, and acquiring a temperature predicted value of the predicted time according to the temperature value of the time before the predicted time, the acting power of the predicted time and the temperature control degree;
The method comprises the steps of obtaining a predicted temperature fluctuation degree of a predicted time according to the local difference condition of a temperature predicted value in temperature value data, adjusting a set PID parameter according to the predicted temperature fluctuation degree to obtain an adjusted PID parameter of the predicted time, and performing PID control on temperature regulating equipment of the predicted time by utilizing the adjusted PID parameter of the predicted time;
The method for acquiring the regulated power value data and the action power at the predicted moment comprises the following steps:
Shifting the power value data by the reference lag time to obtain the shift power value data corresponding to each reference lag time;
Acquiring temperature control related indexes corresponding to each reference lag time according to the correlation coefficients of the temperature value data corresponding to the preset surrounding time range of the predicted time and the moving power value data corresponding to each reference lag time;
The reference lag time corresponding to the maximum temperature control related index is taken as temperature control lag time, the moving power value data corresponding to the temperature control lag time is taken as adjusted power value data, and the power value corresponding to the predicted time in the adjusted power value data is taken as the acting power of the predicted time;
the method for acquiring the temperature control degree comprises the following steps:
Acquiring all surrounding moments of the predicted moment;
Acquiring a power difference index of each surrounding moment according to the power value of each surrounding moment and the difference condition of adjacent power values;
Acquiring a temperature difference index of each surrounding moment according to the temperature value of each surrounding moment and the difference condition of adjacent temperature values;
acquiring a local temperature control index of each surrounding moment according to the deviation condition of the power difference index and the temperature difference index of each surrounding moment;
Acquiring the temperature control degree according to the overall distribution of the local temperature control indexes at all surrounding moments;
The method for acquiring the temperature predicted value comprises the following steps:
acquiring a power change parameter at the predicted moment according to the difference condition of the acting power at the predicted moment and the power value at the previous moment;
acquiring a temperature change parameter at the predicted time according to the power change parameter at the predicted time and the temperature control degree;
The temperature change parameter and the temperature value at the moment before the predicted moment are integrated to obtain a temperature predicted value at the predicted moment;
the method for acquiring the predicted temperature fluctuation degree at the predicted time comprises the following steps:
Acquiring a surrounding fluctuation index of the predicted time according to the fluctuation of the temperature values corresponding to all the reference fluctuation time;
acquiring a predicted fluctuation index of the predicted moment according to the difference condition between the temperature predicted value of the predicted moment and the overall distribution of the temperature values of all the reference fluctuation moments;
according to the deviation condition between the predicted fluctuation index and the surrounding fluctuation index at the predicted moment, obtaining the predicted temperature fluctuation degree at the predicted moment, wherein the predicted fluctuation index and the predicted temperature fluctuation degree are positively correlated;
The method for acquiring the PID parameters after the adjustment of the prediction time comprises the following steps:
the set PID parameters comprise a preset proportional coefficient, a preset integral coefficient and a preset differential coefficient;
calculating the sum of the 1 and the predicted temperature fluctuation degree, and calculating the product of the sum and a preset proportionality coefficient to obtain an adjusted proportionality coefficient;
calculating the difference value between the 1 and the predicted temperature fluctuation degree, and calculating the product of the difference value and a preset integral coefficient to obtain an adjusted integral coefficient;
calculating the sum of the 1 and the predicted temperature fluctuation degree, and calculating the product of the sum and a preset differential coefficient to obtain an adjusted differential coefficient;
And taking the adjusted proportional coefficient, the adjusted integral coefficient and the adjusted differential coefficient as the adjusted PID parameters of the prediction time.
2. The multifunctional extruder for producing plastic protective pipes according to claim 1, wherein the method for acquiring the surrounding time comprises taking a preset number of sampling time before the predicted time as all surrounding time of the predicted time.
3. The multifunctional extruder for producing plastic protection pipes according to claim 1, wherein the power difference index obtaining method comprises the following steps:
and calculating the difference value of the power values of each surrounding moment to obtain the power difference index of each surrounding moment.
4. The multifunctional extruder for producing plastic protective pipes according to claim 1, wherein the method for obtaining the predicted fluctuation index comprises the steps of:
Calculating the average value of the temperature values of all the reference fluctuation moments at the prediction moment to obtain the whole surrounding temperature value at the prediction moment, and calculating the absolute value of the difference value between the temperature prediction value at the prediction moment and the whole surrounding temperature value to obtain the prediction fluctuation index.
5. The multifunctional extruder for producing plastic protective pipes according to claim 1, wherein the last sampling time is the current time, and the next time of the current time is taken as the predicted time.
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