An operation monitoring method and system based on a PE pipe processing extruder

Abstract

The present invention belongs to the technical field of operation monitoring. The present invention provides an operation monitoring method and system for a pipe extruder based on a PE pipe processing extruder, including: obtaining the flow value of the melt between the inner wall of the die head and the outer wall of the die core at the head of the pipe extruder during the operation cycle, and analyzing to obtain the flow uniformity value; if the flow uniformity value is greater than or equal to the flow uniformity threshold, generating a flow anomaly signal; constructing an X-Y two-dimensional coordinate system with the center point of the die head at the head of the pipe extruder as the origin, if the center point of the die core does not coincide with the origin of the X-Y two-dimensional coordinate system, generating an offset signal; obtaining the offset influence value, if the offset influence value is greater than the offset influence threshold, generating an offset influence signal; based on the offset influence signal, obtaining the offset adjustment value and the offset adjustment angle, and adjusting the gap between the inner wall of the die head and the outer wall of the die core at the head of the pipe extruder, which is beneficial to improving the extrusion blow molding quality of the pipe extruder.

Description

Technical Field

[0001] The present invention belongs to the technical field of operation monitoring, and specifically relates to an operation monitoring method and system based on a PE pipe processing extruder. Background Art

[0002] A pipe extruder generally consists of an extruder main body, a die, a cooling device, a traction device, a cutting device, etc. The extruder main body is responsible for heating and melting plastic raw materials and extruding them, and the die determines the shape and size of the pipe. The cooling device is used to quickly cool and shape the extruded pipe, and the traction device is responsible for straightening and transporting the pipe to the cutting device for cutting.

[0003] When using a pipe extruder, attention needs to be paid to the quality and proportion of raw materials, as well as the maintenance and upkeep of the equipment. At the same time, according to different production requirements, the equipment can also be customized and upgraded to meet the personalized needs of different customers.

[0004] In the prior art, the monitoring of the operating state of a pipe extruder mostly analyzes the operating parameters of the pipe extruder, such as operating current, voltage, pressure, temperature and other parameters, and realizes the operation monitoring of the pipe extruder by whether the operating parameters are abnormal. There is a lack of analysis of the extruded melt of the pipe extruder, and its analysis accuracy is low, the analysis is not accurate and intuitive enough, and it cannot provide accurate decision-making support for producers.

[0005] Therefore, the present invention provides an operation monitoring method and system based on a PE pipe processing extruder. Summary of the Invention

[0006] In order to make up for the deficiencies of the prior art and solve at least one technical problem proposed in the background art.

[0007] The technical solution adopted by the present invention to solve its technical problems is: an operation monitoring method based on a PE pipe processing extruder, including:

[0008] Monitoring the flow value of the melt between the inner wall of the die head and the outer wall of the die core at the head of the pipe extruder during the operation cycle, and analyzing to obtain a flow uniformity value;

[0009] Among them, the acquisition method of the flow uniformity value is:

[0010] A number of equally spaced flow collection points are annularly arranged in the gap area between the inner wall of the die head and the outer wall of the die core at the head of the pipe extruder. If the absolute deviation of the flow at the flow collection point is greater than the absolute mean deviation of the flow at the flow collection point, the flow collection point is marked as an abnormal flow point;

[0011] Obtain the ratio SL of the number of abnormal flow points and the abnormal degree value CD, through the formula:

[0012] Obtain the flow uniformity value JY, where both a1 and a2 are preset proportionality coefficients;

[0013] Compare the flow uniformity value with the flow uniformity threshold. If the flow uniformity value is greater than or equal to the flow uniformity threshold, generate a flow anomaly signal;

[0014] Based on the flow anomaly signal, construct an X-Y two-dimensional coordinate system with the center point of the die head at the head of the pipe extruder as the origin, and mark the center point of the die core within the X-Y two-dimensional coordinate system. If the center point of the die core does not coincide with the origin of the X-Y two-dimensional coordinate system, generate an offset signal;

[0015] Based on the offset signal, obtain the offset influence value, compare the offset influence value with the offset influence threshold. If the offset influence value is greater than the offset influence threshold, generate an offset influence signal;

[0016] Based on the offset influence signal, obtain the offset regulation value and the offset regulation angle, and adjust the gap between the inner wall of the die head and the outer wall of the die core at the head of the pipe extruder according to the offset regulation value and the offset regulation angle, so as to complete the online monitoring of the operating state of the extruder.

[0017] As a further technical solution of the present invention: The obtaining methods of the absolute flow deviation and the absolute average flow deviation at the flow collection point are as follows:

[0018] Respectively obtain the flow values at each flow collection point, sum them up and take the average to obtain the average flow value at the die head. Subtract the flow value at the flow collection point from the average flow value at the die head to obtain the flow deviation at the flow collection point. Take the absolute value of the flow deviation at the flow collection point to obtain the absolute flow deviation at the flow collection point;

[0019] Sum up and take the average of the absolute flow deviations at all flow collection points to obtain the absolute average flow deviation at the flow collection point.

[0020] As a further technical solution of the present invention: The obtaining method of the ratio SL of the number of abnormal flow points is as follows:

[0021] Count the number of abnormal flow points and the number of flow collection points, and take the ratio of the number of abnormal flow points to the number of flow collection points to obtain the ratio of the number.

[0022] As a further technical solution of the present invention: The obtaining method of the abnormal degree value is as follows:

[0023] Obtain the absolute flow deviation at the abnormal flow point, perform a difference operation on the absolute flow deviation at the abnormal flow point and the absolute average flow deviation at the flow collection point to obtain the over-limit flow deviation at the abnormal flow point. Sum up and average all the over-limit flow deviations at the abnormal flow points to obtain the average over-limit flow deviation at the abnormal flow point. Perform a ratio operation on the average over-limit flow deviation at the abnormal flow point and the absolute average flow deviation at the flow collection point to obtain the abnormality degree value.

[0024] As a further technical solution of the present invention: The method for obtaining the offset influence value is as follows:

[0025] Obtain the deviation quantity ratio SX of the abnormal flow points, the quantity ratio SC of the abnormal flow point data groups, and the quantity ratio SH of the synchronous abnormal flow point data groups and perform data processing. Through the formula:

[0026] Obtain the offset influence value PY, where s1, s2, and s3 are all preset proportional coefficients.

[0027] As a further technical solution of the present invention: The method for obtaining the deviation quantity ratio SX of the abnormal flow points is as follows:

[0028] Construct the contour line of the die inner wall at the head of the pipe extruder in the X-Y coordinate system according to the contour of the die inner wall at the head of the pipe extruder. At the same time, mark the flow collection points in the X-Y coordinate system according to the shortest distance between each flow collection point and the die inner wall.

[0029] In the X-Y two-dimensional coordinate system, connect the origin of the X-Y two-dimensional coordinate system with the center point of the marked die core to obtain the die core offset line. Extend both sides of the die core offset line so that both ends of the die core offset line intersect the contour line of the die inner wall at the head of the pipe extruder respectively. Divide the area enclosed by the contour line of the die inner wall at the head of the pipe extruder into two sub-regions through the die core offset line. Mark one of the sub-regions as the first sub-region and the other sub-region as the second sub-region.

[0030] Mark the abnormal flow points among the flow collection points in the first sub-region as the first abnormal flow points, and mark the abnormal flow points among the flow collection points in the second sub-region as the second abnormal flow points.

[0031] Respectively obtain the quantity of the first abnormal flow points and the quantity of the second abnormal flow points, and perform a difference operation on them to obtain the deviation quantity of the abnormal flow points. Perform a ratio operation on the deviation quantity of the abnormal flow points and the quantity of the flow collection points to obtain the deviation quantity ratio SX of the abnormal flow points.

[0032] As a further technical solution of the present invention: The method for obtaining the quantity ratio SC of the abnormal flow point data groups is as follows:

[0033] Perpendicular lines are drawn from each first abnormal flow point to the die core offset line respectively, and the perpendicular lines are extended to obtain the die core offset extended line. If the die core offset extended line passes through the second abnormal flow point, the corresponding first abnormal flow point of the die core offset extended line and the second abnormal flow point passed through are integrated into an abnormal flow point data group;

[0034] Count the number of abnormal flow point data groups, and perform a ratio process on the number of abnormal flow point data groups and the number threshold of the abnormal flow data groups to obtain the number ratio SC of the abnormal flow point data groups;

[0035] Among them, the number threshold of the abnormal flow data groups is equal to the integer value of the result obtained by dividing the number of all abnormal flow points by 2.

[0036] As a further technical solution of the present invention: the obtaining method of the number ratio SH of the synchronous abnormal flow point data groups is as follows:

[0037] Respectively obtain the flow value at the first abnormal flow point and the flow value of the second abnormal flow point in the abnormal flow point data group. If the flow value at the first abnormal flow point is equal to the flow value of the second abnormal flow point, the abnormal flow point data group is marked as a synchronous abnormal flow point data group;

[0038] Count the number of synchronous abnormal flow point data groups in the abnormal flow data groups, and perform a ratio process on the number of synchronous abnormal flow point data groups and the number of abnormal flow data groups to obtain the number ratio SH of the synchronous abnormal flow point data groups.

[0039] As a further technical solution of the present invention: the obtaining method of the offset regulation value and the offset regulation angle is as follows:

[0040] Obtain the length of the die core offset line, which is used as the offset regulation value. At the same time, in the X-Y coordinate system, obtain the horizontal angle between the die core offset line and the X-axis to obtain the offset regulation angle.

[0041] An operation monitoring system based on a PE pipe processing extruder, comprising:

[0042] Uniform data module: Obtain the flow data of the melt between the inner wall of the die head and the outer wall of the die core at the head of the pipe extruder during the operation cycle. Among them, the flow data includes the flow value, and based on the analysis of the flow data, the flow uniformity value is obtained;

[0043] Among them, the obtaining method of the flow uniformity value is as follows:

[0044] A number of equidistant flow collection points are annularly arranged in the gap area between the inner wall of the die head and the outer wall of the die core at the head of the pipe extruder. If the absolute deviation of the flow rate at the flow collection point is greater than the absolute average deviation of the flow rate at the flow collection point, the flow collection point is marked as an abnormal flow point;

[0045] Obtain the ratio SL of the number of abnormal flow points and the abnormal degree value CD. Through the formula: Obtain the flow uniformity value JY, where a1 and a2 are both preset proportionality coefficients;

[0046] Uniform abnormality determination module: Compare the flow uniformity value with the flow uniformity threshold. If the flow uniformity value is greater than or equal to the flow uniformity threshold, generate a flow abnormality signal;

[0047] Offset analysis module: Based on the flow abnormality signal, construct an X-Y two-dimensional coordinate system with the center point of the die head at the head of the pipe extruder as the origin, and mark the center point of the die core in the X-Y two-dimensional coordinate system. If the center point of the die core does not coincide with the origin of the X-Y two-dimensional coordinate system, generate an offset signal;

[0048] Offset influence analysis module: Based on the offset signal, obtain the offset influence value, compare the offset influence value with the offset influence threshold. If the offset influence value is greater than the offset influence threshold, generate an offset influence signal;

[0049] Offset regulation module: Based on the offset influence signal, obtain the offset regulation value and the offset regulation angle, and adjust the gap between the inner wall of the die head and the outer wall of the die core at the head of the pipe extruder according to the offset regulation value and the offset regulation angle.

[0050] The beneficial effects of the present invention are as follows:

[0051] 1. The present invention obtains the flow rate data of the melt at the head of the pipe extruder during the operation cycle. Among them, the flow rate data includes the flow rate value. Based on the analysis of the flow rate data, the flow uniformity value is obtained. By comparing the flow uniformity value with the flow uniformity threshold, it is judged whether the basis of the melt in the pipe extruder during the operation cycle is uniform. If it is not uniform, an abnormal signal is generated, realizing the monitoring of the extrusion quality of the pipe extruder. Compared with analyzing the operation data of temperature, pressure, and voltage, its analysis accuracy is higher and the analysis is more intuitive.

[0052] 2. Based on the abnormal flow signal, the present invention constructs an X-Y two-dimensional coordinate system with the center point of the die head at the head of the pipe extruder as the origin, marks the center point of the die core within the X-Y two-dimensional coordinate system, determines whether the die core is offset according to the center point of the die core. If an offset occurs, an offset signal is generated. Based on the offset signal, an offset influence value is obtained, and the offset influence value is compared with the offset influence threshold. If the offset influence value is greater than the offset influence threshold, an offset influence signal is generated. Based on the offset influence signal, an offset regulation value and an offset regulation angle are obtained, and the gap between the inner wall of the die head and the outer wall of the die core at the head of the pipe extruder is adjusted according to the offset regulation value and the offset regulation angle, which is beneficial to improving the extrusion blow molding quality of the melt. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] The present invention will be further described below with reference to the drawings.

[0054] Figure 1 is the flow chart of Embodiment 1 of the present invention;

[0055] Figure 2 is the flow chart of Embodiment 2 of the present invention;

[0056] Figure 3 is the system module diagram of Embodiment 3 of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0057] In order to make the technical means, creative features, achieved purposes and effects of the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0058] Embodiment 1

[0059] As Figure 1 shown, a running monitoring method based on a PE pipe processing extruder described in an embodiment of the present invention includes:

[0060] Step 1: Obtain the flow data of the melt between the inner wall of the die head and the outer wall of the die core at the head of the pipe extruder during the operation cycle. Among them, the flow data includes flow values, and based on the analysis of the flow data, a flow uniformity value is obtained;

[0061] In some embodiments, a number of equally spaced flow collection points are annularly arranged in the gap area between the inner wall of the die head and the outer wall of the die core at the head of the pipe extruder, the flow values at each flow collection point are respectively obtained, and their sum is averaged to obtain the flow average value at the head. The flow deviation at the flow collection point is obtained by subtracting the flow value at the flow collection point from the flow average value at the head. The absolute value of the flow deviation at the flow collection point is taken to obtain the absolute flow deviation at the flow collection point. The sum of the absolute flow deviations at all flow collection points is averaged to obtain the absolute average flow deviation at the flow collection point;

[0062] It should be noted that the shortest distance between each flow collection point and the inner wall of the die head is equal;

[0063] Compare the absolute flow deviation at the flow collection point with the absolute average deviation of the flow at the flow collection point. The specific comparison process is as follows:

[0064] If the absolute flow deviation at the flow collection point is greater than the absolute average deviation of the flow at the flow collection point, mark the flow collection point as an abnormal flow point;

[0065] If the absolute flow deviation at the flow collection point is less than or equal to the absolute average deviation of the flow at the flow collection point, mark the flow collection point as a normal flow point;

[0066] In some embodiments, obtain the performance data of the abnormal flow points, where the performance data includes the quantity occupancy ratio and the abnormal degree value;

[0067] Obtain the quantity occupancy ratio and mark it as SL;

[0068] Obtain the abnormal degree value and mark it as CD;

[0069] Through the formula: Obtain the flow uniformity value JY, where a1 and a2 are both preset proportionality coefficients;

[0070] It should be noted that the meaning represented by the flow uniformity value: The flow uniformity value reflects the degree of uniformity deviation of the flow between different flow collection points at the die head. The larger the flow uniformity value, the worse the uniformity of the flow between different flow collection points; the smaller the flow uniformity value, the better the uniformity of the flow between different flow collection points;

[0071] Exemplarily, the way to obtain the quantity occupancy ratio is:

[0072] Count the number of abnormal flow points and the number of flow collection points, and perform a ratio process on the number of abnormal flow points and the number of flow collection points to obtain the quantity occupancy ratio;

[0073] Exemplarily, the way to obtain the abnormal degree value is:

[0074] Obtain the absolute flow deviation at the abnormal flow point, perform a difference process on the absolute flow deviation at the abnormal flow point and the absolute average deviation of the flow at the flow collection point to obtain the flow over-limit deviation at the abnormal flow point. Sum and average the flow over-limit deviations at all abnormal flow points to obtain the average flow over-limit deviation at the abnormal flow point, and perform a ratio process on the average flow over-limit deviation at the abnormal flow point and the absolute average deviation of the flow at the flow collection point to obtain the abnormal degree value;

[0075] Step 2: Compare the flow uniformity value with the flow uniformity threshold. If the flow uniformity value is greater than or equal to the flow uniformity threshold, generate a flow anomaly signal.

[0076] In some embodiments, the comparison between the flow uniformity value and the flow uniformity threshold is as follows:

[0077] If the flow uniformity value is greater than or equal to the flow uniformity threshold, generate a flow anomaly signal.

[0078] If the flow uniformity value is less than the flow uniformity threshold, generate a flow normal signal.

[0079] The technical solution of the embodiment of the present invention is: Obtain the flow data of the melt at the head of the pipe extruder during the operation cycle. Among them, the flow data includes the flow value. Based on the analysis of the flow data, obtain the flow uniformity value. By comparing the flow uniformity value with the flow uniformity threshold, determine whether the basis of the melt by the pipe extruder during the operation cycle is uniform. If it is not uniform, generate an anomaly signal to monitor the extrusion quality of the pipe extruder.

[0080] Embodiment 2

[0081] As Figure 2 shown, based on Embodiment 1, a method for monitoring the operation of a PE pipe processing extruder according to an embodiment of the present invention includes:

[0082] Step 3: Based on the flow anomaly signal, construct an X-Y two-dimensional coordinate system with the center point of the die head at the head of the pipe extruder as the origin, and mark the center point of the die core in the X-Y two-dimensional coordinate system. Determine whether the die core is offset according to the center point of the die core. If it is offset, generate an offset signal.

[0083] Specifically, if the center point of the die core does not coincide with the origin of the X-Y two-dimensional coordinate system, generate an offset signal.

[0084] If the center point of the die core coincides with the origin of the X-Y two-dimensional coordinate system, generate a non-offset signal.

[0085] It should be noted that the plane where the X-Y two-dimensional coordinate system is located is perpendicular to the die head.

[0086] Step 4: Based on the offset signal, obtain the offset influence value, compare the offset influence value with the offset influence threshold. If the offset influence value is greater than the offset influence threshold, generate an offset influence signal.

[0087] Construct the contour line of the inner wall of the die head at the head of the pipe extruder in the X-Y coordinate system according to the contour of the inner wall of the die head at the head of the pipe extruder. At the same time, mark the flow rate collection points in the X-Y coordinate system according to the shortest distance between each flow rate collection point and the inner wall of the die head. Among them, the shortest distance between the marked flow rate collection points and the contour line of the inner wall of the die head at the head of the pipe extruder in the X-Y coordinate system is equal to the shortest distance between the flow rate collection point and the inner wall of the die head;

[0088] In the X-Y two-dimensional coordinate system, connect the origin of the X-Y two-dimensional coordinate system (the center point of the die head) with the center point of the marked die core to obtain the die core offset line. Extend both sides of the die core offset line so that the two ends of the die core offset line intersect the contour line of the inner wall of the die head at the head of the pipe extruder respectively. Divide the area enclosed by the contour line of the inner wall of the die head at the head of the pipe extruder into two sub-regions through the die core offset line. Mark one of the sub-regions as the first sub-region and the other sub-region as the second sub-region;

[0089] Mark the abnormal flow rate points among the flow rate collection points in the first sub-region as the first abnormal flow rate points, and mark the abnormal flow rate points among the flow rate collection points in the second sub-region as the second abnormal flow rate points;

[0090] Obtain the number of the first abnormal flow rate points and the number of the second abnormal flow rate points respectively, and take the difference between them to get the deviation number of the abnormal flow rate points. Process the ratio of the deviation number of the abnormal flow rate points to the number of the flow rate collection points to get the deviation number ratio of the abnormal flow rate points, and mark it as SX;

[0091] Draw perpendicular lines from each first abnormal flow rate point to the die core offset line respectively, and extend the perpendicular lines to obtain the extended die core offset line. If the extended die core offset line passes through the second abnormal flow rate point, integrate the corresponding first abnormal flow rate point of the extended die core offset line and the second abnormal flow rate point passed through into the abnormal flow rate point data group;

[0092] Count the number of the abnormal flow rate point data groups, process the ratio of the number of the abnormal flow rate point data groups to the number threshold of the abnormal flow rate data groups to get the number ratio of the abnormal flow rate point data groups, and mark it as SC;

[0093] Among them, the number threshold of the abnormal flow rate data groups is equal to the integer value of the result of dividing the number of all abnormal flow rate points by 2;

[0094] Based on the abnormal flow point data group, respectively obtain the flow value at the first abnormal flow point and the flow value of the second abnormal flow point in the abnormal flow point data group. If the flow value at the first abnormal flow point is equal to the flow value of the second abnormal flow point, mark the abnormal flow point data group as a synchronous abnormal flow point data group. If the flow value at the first abnormal flow point is not equal to the flow value of the second abnormal flow point, mark the abnormal flow point data group as a non-synchronous abnormal flow point data group;

[0095] Count the number of synchronous abnormal flow point data groups in the abnormal flow data group, perform a ratio process on the number of synchronous abnormal flow point data groups and the number of abnormal flow data groups to obtain the number ratio of synchronous abnormal flow point data groups, and mark it as SH;

[0096] Perform data processing on the deviation quantity ratio SX of abnormal flow points, the number ratio SC of abnormal flow point data groups, and the number ratio SH of synchronous abnormal flow point data groups. Through the formula: Obtain the offset influence value PY, where s1, s2, and s3 are all preset proportionality coefficients;

[0097] In some embodiments, compare the offset influence value PY with the offset influence threshold;

[0098] If the offset influence value PY is greater than or equal to the offset influence threshold, generate an offset influence signal;

[0099] If the offset influence value PY is less than the offset influence threshold, generate a non-offset influence signal;

[0100] Among them, the meaning represented by the offset influence value: in the case of the core offset, there will be two flow acquisition points on the outer wall of the core that are symmetrically distributed along the core offset route, and the shortest distances between these two flow acquisition points and the inner wall of the die head are equal. If all pairs of abnormal flow acquisition points have the above-mentioned symmetrical distribution and the flows at the two symmetric abnormal flow acquisition points are the same, it indicates that the core offset affects the extrusion uniformity of the melt. The offset influence value reflects the proportion of the number of abnormally distributed flow acquisition points and the proportion of the number of abnormally distributed flow acquisition points with the same flow among the symmetrically distributed abnormal flow acquisition points. The larger the offset influence value, the stronger the core offset influence degree. If the offset influence value is smaller, the weaker the core offset influence degree;

[0101] Step Five: Based on the offset influence signal, obtain the offset regulation value and the offset regulation angle, and adjust the gap between the inner wall of the die head and the outer wall of the core at the head of the pipe extruder according to the offset regulation value and the offset regulation angle;

[0102] Specifically, obtain the length of the core offset line, use it as the offset control value, and at the same time, within the X-Y coordinate system, obtain the horizontal angle between the core offset line and the X-axis to obtain the offset control angle.

[0103] The technical solution of the embodiment of the present invention is as follows: Based on the flow anomaly signal, a two-dimensional X-Y coordinate system is constructed with the center point of the die head at the head of the pipe extruder as the origin, and the center point of the core is marked within the two-dimensional X-Y coordinate system. Determine whether the core is offset according to the center point of the core. If it is offset, an offset signal is generated. Based on the offset signal, an offset influence value is obtained, and the offset influence value is compared with the offset influence threshold. If the offset influence value is greater than the offset influence threshold, an offset influence signal is generated. Based on the offset influence signal, an offset control value and an offset control angle are obtained, and the gap between the inner wall of the die head and the outer wall of the core at the head of the pipe extruder is adjusted according to the offset control value and the offset control angle, which is beneficial to improving the extrusion and blow molding quality of the pipe extruder.

[0104] Embodiment 3

[0105] As Figure 3 shown, a running monitoring system based on a PE pipe processing extruder described in the embodiment of the present invention includes:

[0106] Uniform data module: Obtain the flow data of the melt between the inner wall of the die head and the outer wall of the core at the head of the pipe extruder during the operation cycle of the pipe extruder. Among them, the flow data includes a flow value, and based on the analysis of the flow data, a flow uniformity value is obtained;

[0107] Uniform anomaly determination module: Compare the flow uniformity value with the flow uniformity threshold. If the flow uniformity value is greater than or equal to the flow uniformity threshold, a flow anomaly signal is generated;

[0108] Offset analysis module: Based on the flow anomaly signal, a two-dimensional X-Y coordinate system is constructed with the center point of the die head at the head of the pipe extruder as the origin, and the center point of the core is marked within the two-dimensional X-Y coordinate system. Determine whether the core is offset according to the center point of the core. If it is offset, an offset signal is generated;

[0109] Offset influence analysis module: Based on the offset signal, obtain the offset influence value, compare the offset influence value with the offset influence threshold. If the offset influence value is greater than the offset influence threshold, an offset influence signal is generated;

[0110] Offset control module: Based on the offset influence signal, obtain the offset control value and the offset control angle, and adjust the gap between the inner wall of the die head and the outer wall of the core at the head of the pipe extruder according to the offset control value and the offset control angle.

[0111] The foregoing has shown and described the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments, and what is described in the above embodiments and the specification only illustrates the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for monitoring the operation of a PE pipe processing extruder, characterized in that: include: Monitor the flow value of the melt between the inner wall of the die head and the outer wall of the die core at the die head of the pipe extruder during the operation cycle, and analyze and obtain the uniform flow value; The flow average value is obtained as follows: A number of equally spaced flow collection points are arranged in a ring in the gap area between the inner wall of the die head and the outer wall of the die core at the die head of the pipe extruder. If the absolute deviation of the flow at the flow collection point is greater than the absolute mean deviation of the flow at the flow collection point, the flow collection point is marked as an abnormal flow point. Among them, the absolute flow deviation is the absolute value of the difference between the flow value at the flow collection point and the mean flow value at the head; The absolute mean deviation of flow is the mean of the absolute deviations of flow at all flow collection points; The average traffic value is obtained based on the number, percentage and degree of abnormal traffic points; The flow average value is compared with the flow average threshold value. If the flow average value is greater than or equal to the flow average threshold value, a flow abnormality signal is generated. Among them, the abnormal degree value is the ratio of the flow rate exceeding the limit mean deviation to the absolute mean deviation of the flow rate at the abnormal flow point; The flow rate out-of-bounds mean deviation is the mean of the sum of the absolute flow deviations at all abnormal flow points and the absolute mean flow deviations; Based on the abnormal flow signal, an XY two-dimensional coordinate system is constructed with the center point of the die head at the pipe extruder head as the origin, and the center point of the die core is marked in the XY two-dimensional coordinate system. If the center point of the die core does not coincide with the origin of the XY two-dimensional coordinate system, an offset signal is generated; Based on the offset signal, obtaining an offset influence value, comparing the offset influence value with an offset influence threshold, and generating an offset influence signal if the offset influence value is greater than the offset influence threshold; The offset impact value is obtained by processing the deviation quantity ratio of the abnormal flow point, the quantity ratio of the abnormal flow point data group, and the quantity ratio of the synchronous abnormal flow point data group; Based on the offset influence signal, the offset control value and the offset control angle are obtained, and the gap between the inner wall of the die head and the outer wall of the die core at the head of the pipe extruder is adjusted according to the offset control value and the offset control angle to complete the online monitoring of the operating status of the extruder.

2. The operation monitoring method based on a PE pipe processing extruder according to claim 1, characterized in that: The absolute deviation of the flow rate at the flow collection point and the absolute mean deviation of the flow rate at the flow collection point are obtained as follows: The flow value at each flow collection point is obtained respectively, and the sum is taken to obtain the flow mean at the head of the machine, the flow value at the flow collection point is processed with the flow mean at the head of the machine to obtain the flow deviation at the flow collection point, and the flow deviation at the flow collection point is processed by taking the absolute value to obtain the absolute deviation of the flow at the flow collection point; The absolute deviations of the flow at all flow collection points are summed and averaged to obtain the absolute mean deviation of the flow at the flow collection points.

3. The operation monitoring method based on a PE pipe processing extruder according to claim 1, characterized in that: The method for obtaining the value SL of the number of abnormal traffic points is as follows: The number of abnormal traffic points and the number of traffic collection points are counted, and the number of abnormal traffic points is ratioed to the number of traffic collection points to obtain the quantity ratio value.

4. The operation monitoring method based on a PE pipe processing extruder according to claim 1, characterized in that: The abnormality degree value is obtained in the following manner: Obtain the absolute deviation of the flow at the abnormal flow point, perform difference processing on the absolute deviation of the flow at the abnormal flow point and the absolute mean deviation of the flow at the flow collection point to obtain the out-of-bounds deviation of the flow at the abnormal flow point, sum and average the out-of-bounds deviations of the flow at all abnormal flow points to obtain the out-of-bounds mean deviation of the flow at the abnormal flow point, perform ratio processing on the out-of-bounds mean deviation of the flow at the abnormal flow point and the absolute mean deviation of the flow at the flow collection point to obtain the abnormal degree value.

5. The operation monitoring method based on a PE pipe processing extruder according to claim 1, characterized in that: The offset impact value is obtained in the following manner: Obtain the deviation number ratio SX of abnormal flow points, the number ratio SC of abnormal flow point data groups, and the number ratio SH of synchronous abnormal flow point data groups and perform data processing, through the formula: The offset influence value PY is obtained, wherein s1, s2 and s3 are all preset proportional coefficients.

6. The operation monitoring method based on the PE pipe processing extruder according to claim 5 is characterized in that: The deviation number ratio SX of the abnormal flow point is obtained as follows: According to the contour of the inner wall of the die at the head of the pipe extruder, the contour line of the inner wall of the die at the head of the pipe extruder is constructed in the XY coordinate system. At the same time, according to the shortest distance between each flow collection point and the inner wall of the die, the flow collection point is marked in the XY coordinate system; In the XY two-dimensional coordinate system, the origin of the XY two-dimensional coordinate system is connected with the center point of the marked core to obtain a core offset line, and both sides of the core offset line are extended so that both ends of the core offset line intersect with the contour line of the inner wall of the die at the head of the pipe extruder, and the area surrounded by the contour line of the inner wall of the die at the head of the pipe extruder is divided into two sub-areas by the core offset line, and one of the sub-areas is marked as a first sub-area, and the other sub-area is marked as a second sub-area; Marking an abnormal flow point among the flow collection points in the first sub-area as a first abnormal flow point, and marking an abnormal flow point among the flow collection points in the second sub-area as a second abnormal flow point; The number of the first abnormal flow points and the number of the second abnormal flow points are obtained respectively, and the difference is made to obtain the deviation number of the abnormal flow points, and the deviation number of the abnormal flow points is ratio-processed with the number of flow collection points to obtain the deviation number ratio SX of the abnormal flow points.

7. The operation monitoring method based on the PE pipe processing extruder according to claim 5 is characterized in that: The number ratio SC of the abnormal flow point data group is obtained as follows: Draw a perpendicular line from each first abnormal flow point to the core offset line, and extend the perpendicular line to obtain a core offset extension line. If the core offset extension line passes through a second abnormal flow point, the first abnormal flow point corresponding to the core offset extension line and the second abnormal flow point along the path are integrated into an abnormal flow point data group. Counting the number of abnormal flow point data groups, performing ratio processing on the number of abnormal flow point data groups and the number threshold of abnormal flow data groups, and obtaining the number ratio SC of abnormal flow point data groups; The number threshold of the abnormal traffic data group is equal to the integer value of the result of dividing the number of all abnormal traffic points by 2.

8. The operation monitoring method based on the PE pipe processing extruder according to claim 5 is characterized in that: The number ratio SH of the synchronous abnormal flow point data group is obtained as follows: Respectively obtain the flow value at the first abnormal flow point and the flow value at the second abnormal flow point in the abnormal flow point data group, and if the flow value at the first abnormal flow point is equal to the flow value at the second abnormal flow point, mark the abnormal flow point data group as a synchronous abnormal flow point data group; The number of synchronous abnormal flow point data groups in the abnormal flow data group is counted, and the number of synchronous abnormal flow point data groups is ratioed with the number of abnormal flow data groups to obtain the number ratio SH of synchronous abnormal flow point data groups.

9. The operation monitoring method based on a PE pipe processing extruder according to claim 1, characterized in that: The offset control value and the offset control angle are obtained as follows: The length of the core offset line is obtained and used as the offset control value. At the same time, in the XY coordinate system, the horizontal angle between the core offset line and the X-axis is obtained to obtain the offset control angle.

10. An operation monitoring system based on a PE pipe processing extruder, characterized in that: The system is used to implement the operation monitoring method according to any one of claims 1 to 9, comprising: Uniform data module: monitors the flow value of the melt between the inner wall of the die head and the outer wall of the core at the die head of the pipe extruder during the operation cycle, and analyzes the uniform flow value; The flow average value is obtained as follows: A number of equally spaced flow collection points are arranged in a ring in the gap area between the inner wall of the die head and the outer wall of the die core at the die head of the pipe extruder. If the absolute deviation of the flow at the flow collection point is greater than the absolute mean deviation of the flow at the flow collection point, the flow collection point is marked as an abnormal flow point. The average traffic value is obtained based on the number, percentage and degree of abnormal traffic points; Average abnormality judgment module: compares the flow average value with the flow average threshold. If the flow average value is greater than or equal to the flow average threshold, a flow abnormality signal is generated. Offset analysis module: Based on the abnormal flow signal, an XY two-dimensional coordinate system is constructed with the center point of the die head at the pipe extruder head as the origin, and the center point of the die core is marked in the XY two-dimensional coordinate system. If the center point of the die core does not coincide with the origin of the XY two-dimensional coordinate system, an offset signal is generated; Offset impact analysis module: based on the offset signal, obtains an offset impact value, compares the offset impact value with an offset impact threshold, and generates an offset impact signal if the offset impact value is greater than the offset impact threshold; Offset control module: based on the offset influence signal, the offset control value and the offset control angle are obtained, and the gap between the inner wall of the die head and the outer wall of the die core at the head of the pipe extruder is adjusted according to the offset control value and the offset control angle.

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