Intelligent temperature control and rapid demoulding method for cement pole mold

Abstract

The present invention relates to the field of process control technology, and specifically to a method for intelligent temperature control and rapid demolding of cement pole molds. The present invention obtains the local stress parameters of the cement pole at each measuring point at each time to be controlled, and then obtains the heat conduction parameters of the mold; further obtains the curing strength of the cement pole at each measuring point, and combines the correlation between the local stress parameters and the curing strength of the cement pole at each measuring point to obtain the curing state coefficient of the cement pole; then combines the fluctuation characteristics of the ambient temperature curve to obtain the response deviation parameters of the temperature control system; finally, at each time to be controlled, the curing temperature is controlled according to the corresponding response deviation parameters. The present invention accurately evaluates the response deviation of the temperature control system during steam curing, thereby improving the intelligent temperature control effect during the curing process of the cement pole, and further improving the curing effect of the cement pole during the curing process, laying the foundation for rapid demolding.

Description

Technical Field

[0001] The present invention relates to the technical field of process control, and in particular to an intelligent temperature control and rapid demoulding method for a cement pole mold. Background Art

[0002] Cement poles are important supporting structures for infrastructure such as electricity and communications. Their manufacturing process mainly includes steps such as steel bar tensioning, mold installation, centrifugal forming, steam curing and demolding. Since the demolding efficiency and quality of cement poles are highly dependent on the completion of the cement hydration reaction during the curing stage, the steam curing and demolding links are crucial to the production quality and efficiency of cement poles.

[0003] During the steam curing process, the heat of the steam is transferred through the mold to the cement poles inside the mold to promote hydration. At the same time, the temperature sensor inside the mold will feed back the mold temperature to the temperature control system to automatically adjust the steam temperature to ensure that the cement is evenly cured to the required strength for demolding. However, due to factors such as the external environment, heat generated by cement hydration, and sensor response lag, the temperature control system may not be able to regulate the curing temperature well, which in turn leads to poor cement curing and increased difficulty in demolding. Summary of the Invention

[0004] In order to solve the technical problem that the intelligent temperature control effect of cement pole curing temperature in the prior art is poor, which leads to the difficulty of demoulding the cement pole, the purpose of the present invention is to provide a method for intelligent temperature control and rapid demoulding of cement pole molds. The technical solutions adopted are as follows:

[0005] An intelligent temperature control method for a cement pole mold, the method comprising:

[0006] At the waiting time of the curing stage, the temperature curve and ultrasonic wave propagation velocity curve of each measuring point on the mold in the corresponding preset historical curing period are obtained, and the ambient temperature curve in the corresponding preset historical curing period is obtained;

[0007] According to the information of the drastic temperature change in each temperature curve, the local stress parameter of the cement pole at the corresponding measuring point is obtained; according to the local stress parameter of the cement pole at each measuring point and the difference between different temperature curves, the heat conduction parameter of the mold at the time to be controlled is obtained; according to the change trend of each ultrasonic propagation velocity curve, the curing strength of the cement pole at the corresponding measuring point is obtained;

[0008] According to the correlation between the local stress parameter and the curing strength of the cement pole at each measuring point, combined with the heat conduction parameter of the mold and the local stress parameters of the cement pole at all measuring points, the curing state coefficient of the cement pole at the time to be controlled is obtained; according to the curing state coefficient and the fluctuation characteristics of the ambient temperature curve, combined with the change difference between different temperature curves, the response deviation parameter of the temperature control system at the time to be controlled is obtained;

[0009] At each time to be regulated, the curing temperature is regulated according to the corresponding response deviation parameter.

[0010] Furthermore, the method for obtaining the local stress parameters includes:

[0011] In each of the temperature curves, a first temperature rise parameter is obtained according to the temperature difference between all adjacent acquisition moments; and a second temperature rise parameter is obtained according to the overall change trend of each of the temperature curves;

[0012] The first temperature rise parameter and the second temperature rise parameter are integrated to obtain the local stress parameter of the cement pole at the measuring point corresponding to each temperature curve.

[0013] Furthermore, the method for obtaining the first temperature rise parameter and the second temperature rise parameter includes:

[0014] In each of the temperature curves, a normalized value of the difference between the temperature data corresponding to each acquisition moment and the temperature data corresponding to the previous acquisition moment is used as a first temperature rise sub-parameter, and the cumulative sum of all the first temperature rise sub-parameters is used as the first temperature rise parameter;

[0015] The difference between the last temperature data and the first temperature data in each temperature curve is divided by the time interval between the corresponding acquisition moments, and the normalized value of the quotient is used as the second temperature rise parameter.

[0016] Furthermore, the method for obtaining the heat conduction parameters includes:

[0017] The average value of the local stress parameters of the cement pole at all measuring points is used as the overall stress index of the cement pole;

[0018] Taking the mean of the temperature data in each temperature curve as the representative temperature of each measuring point, and comprehensively analyzing the temperature differences between the representative temperatures corresponding to different measuring points to obtain a temperature unevenness parameter;

[0019] The overall stress index and the temperature nonuniformity parameter are fused, and a negative correlation mapping result of the fusion result is used as the heat conduction parameter of the mold at the time to be controlled.

[0020] Furthermore, the method for obtaining the curing strength includes:

[0021] taking the mean of the propagation velocities in each of the ultrasonic propagation velocity curves as the first curing parameter; and obtaining the second curing parameter based on the propagation velocity differences between all adjacent acquisition moments in each of the ultrasonic propagation velocity curves;

[0022] The first curing parameter and the second curing parameter are integrated to obtain the curing strength of the cement pole at the measuring point corresponding to each ultrasonic propagation velocity curve.

[0023] Furthermore, the method for obtaining the solidification state coefficient includes:

[0024] The product of the average value of the curing strength of the cement pole at all measuring points and the heat conduction parameter is used as the curing state sub-parameter;

[0025] All measuring points are sorted and numbered in an arbitrary order, and the normalized value of the local stress parameter and the normalized value of the curing strength of the cement pole at each measuring point are used as data points under the corresponding serial numbers, respectively, to fit the local stress parameter change curve and the curing strength change curve; based on the change difference between the local stress parameter change curve and the curing strength change curve, the state confidence weight is obtained;

[0026] The solidification state sub-parameter is weighted using the state confidence weight, and the weighted result is used as the solidification state coefficient of the cement pole at the time to be regulated.

[0027] Furthermore, the method for obtaining the state confidence weight includes:

[0028] The mean square error between the local stress parameter change curve and the curing strength change curve is used as the state confidence weight.

[0029] Furthermore, the method for obtaining the response deviation parameter includes:

[0030] Obtaining temperature sub-deviations between corresponding different measuring points based on differences between all temperature data at the same time in different temperature curves; and obtaining temperature deviations by combining the temperature sub-deviations between all different measuring points;

[0031] The negative correlation mapping result of the solidification state coefficient is used as a confidence weight, the temperature deviation is weighted by using the confidence weight, and the weighted result is used as the temperature control error; the variance of the ambient temperature data in the ambient temperature curve is used as the environmental influence parameter;

[0032] The temperature control error and the environmental impact parameter are fused, and the fusion result is used as a response deviation parameter.

[0033] Furthermore, the method for controlling the curing temperature includes:

[0034] The initial proportional gain of the PID controller in the temperature control system is obtained using the Ziegler–Nichols method; at the time to be controlled, it is used as an adjustment weight; the initial proportional gain is adjusted using the response deviation parameter to obtain a corrected proportional gain; and the curing temperature is adjusted based on the corrected proportional gain and the PID algorithm.

[0035] A method for quickly demoulding a cement pole, comprising:

[0036] At the waiting time of the curing stage, the temperature curve and ultrasonic wave propagation velocity curve of each measuring point on the mold in the corresponding preset historical curing period are obtained, and the ambient temperature curve in the corresponding preset historical curing period is obtained;

[0037] According to the information of the drastic temperature change in each temperature curve, the local stress parameter of the cement pole at the corresponding measuring point is obtained; according to the local stress parameter of the cement pole at each measuring point and the difference between different temperature curves, the heat conduction parameter of the mold at the time to be controlled is obtained; according to the change trend of each ultrasonic propagation velocity curve, the curing strength of the cement pole at the corresponding measuring point is obtained;

[0038] According to the correlation between the local stress parameter and the curing strength of the cement pole at each measuring point, combined with the heat conduction parameter of the mold and the local stress parameters of the cement pole at all measuring points, the curing state coefficient of the cement pole at the time to be controlled is obtained; according to the curing state coefficient and the fluctuation characteristics of the ambient temperature curve, combined with the change difference between different temperature curves, the response deviation parameter of the temperature control system at the time to be controlled is obtained;

[0039] At each time to be regulated, the curing temperature is regulated according to the corresponding response deviation parameter;

[0040] After curing, the cement pole is demoulded from the mold.

[0041] The present invention has the following beneficial effects:

[0042] The present invention obtains the temperature curve and ultrasonic propagation velocity curve of each measuring point on the mold in the corresponding preset historical curing period at the time of waiting for control in the curing stage, and obtains the ambient temperature curve in the corresponding preset historical curing period, providing a data analysis basis for the subsequent analysis and evaluation of the response deviation of the temperature control system; then, based on the characteristic of uneven cement hydration reaction caused by rapid temperature rise, the change of each temperature curve is analyzed to determine the local stress parameters of the cement pole at the corresponding measuring point; and then, combined with the difference between the corresponding temperature curves of different measuring points, the heat conduction parameters of the mold at the time of waiting for control are evaluated. The heat conduction parameters affect the curing effect of the cement to a certain extent, preparing for the subsequent determination of the curing state coefficient of the cement pole. ; Then, based on the characteristic that ultrasonic signals propagate quickly in cement with good curing effect, the changing trend of each ultrasonic propagation velocity curve is analyzed to obtain the curing strength of the cement pole at the corresponding measuring point; and then, combined with the correlation between the local stress parameters and the curing strength of the cement pole at each measuring point, the curing state coefficient of the cement pole at the time to be controlled is obtained; then, based on the fluctuation characteristics of the curing state coefficient and the ambient temperature curve, combined with the change differences between different temperature curves, the control effect of the temperature control system and the influence of the external environment on its control are analyzed, so as to accurately obtain the response deviation parameter of the temperature control system at the time to be controlled; at each time to be controlled, the curing temperature is controlled according to the corresponding response deviation parameter. The present invention accurately evaluates the response deviation of the temperature control system during steam curing, thereby improving the intelligent temperature control effect of the cement pole during curing, thereby improving the curing effect of the cement pole during curing, and laying the foundation for rapid demoulding. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0044] Figure 1 A flow chart of an intelligent temperature control method for a cement pole mold provided by one embodiment of the present invention;

[0045] Figure 2 A flow chart of a method for obtaining a solidification state coefficient provided by one embodiment of the present invention;

[0046] Figure 3 A flow chart of a method for obtaining response deviation parameters provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0047] To further illustrate the technical means and effectiveness of the present invention in achieving its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, describes in detail the specific implementation, structure, features, and effectiveness of a method for intelligent temperature control and rapid demolding of cement pole molds proposed by the present invention. In the following description, different references to "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0048] 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.

[0049] The specific scheme of the intelligent temperature control and rapid demoulding method for cement pole molds provided by the present invention is described in detail below with reference to the accompanying drawings.

[0050] See also Figure 1 , which shows a flow chart of an intelligent temperature control method for a cement pole mold provided by one embodiment of the present invention, specifically comprising:

[0051] Step S1, at the time to be controlled in the curing stage, obtain the temperature curve and ultrasonic propagation velocity curve of each measuring point on the mold in the corresponding preset historical curing period, and obtain the ambient temperature curve in the corresponding preset historical curing period.

[0052] It should be noted that the implementation scenario of the embodiment of the present invention is the real-time control of the curing temperature of cement poles during the steam curing stage, wherein the real-time control of the curing temperature is based on the PID control software built into the temperature control system. By calculating the deviation of the temperature control system, the relevant parameters of the PID control software are adjusted in real time to perform intelligent temperature control; the control method for the curing temperature at each moment to be controlled in the recent curing stage is consistent. Here, only any moment to be controlled is taken as an example for analysis and description, and then the curing temperature is controlled in real time at each moment to be controlled.

[0053] One embodiment of the present invention first arranges a temperature sensor at each measuring point of a cement pole mold, wherein the measuring points are located on the inner wall of the mold and are evenly distributed inside the mold. Since some molds are equipped with temperature sensors when they leave the factory, the measuring point arrangement scheme is not described in detail. Then, during the maintenance process of the cement pole, the temperature sensor at each measuring point is used to collect temperature data at each collection moment in a preset historical maintenance period corresponding to each moment to be controlled, all temperature data are mapped to corresponding timestamps, and a temperature curve is fitted. The temperature curve is used to reflect the temperature changes at the measuring points and help evaluate the uniformity of the curing of the cement pole in the mold.

[0054] It should be noted that the curing temperature must be regulated at least 10 minutes after the start of curing; in one embodiment of the present invention, the curing temperature regulation frequency is specifically set to once per minute, so that all the moments to be regulated in the curing stage can be obtained; the preset historical curing period is set to the historical ten minutes of the moment to be regulated; the sampling frequency of all temperature sensors is consistent, and is set to once per second; in other embodiments, the implementer can also customize the regulation frequency to determine the moment to be regulated, and can also determine the duration of the preset historical curing period and the temperature sampling frequency.

[0055] An embodiment of the present invention further utilizes an ultrasonic pulse meter to continuously detect the cement poles at each measuring point within a preset historical period of each moment to be regulated, obtains the propagation speed of the ultrasonic signal in the cement pole during each detection process, and maps all propagation speeds to the corresponding detection timestamp to fit the ultrasonic propagation speed curve; the ultrasonic propagation speed curve is used to reflect the curing quality of the corresponding cement pole at the measuring point. The faster the propagation speed, the fewer internal defects of the cement pole and the better the curing.

[0056] It should be noted that in one embodiment of the present invention, the detection frequency is set to once per second. The implementer can also evaluate the detection time based on the thickness of different cement poles and then customize the detection frequency; the propagation speed can be determined using the standard thickness of the cement pole and the echo time of the ultrasonic wave. It and the process of detection using an ultrasonic pulse meter are both existing technologies well known to those skilled in the art and will not be repeated here.

[0057] Considering that changes in the external ambient temperature may cause certain changes in the curing temperature, which may in turn affect the temperature control effect; therefore, one embodiment of the present invention further arranges temperature sensors around the steam curing device to collect ambient temperature data at each collection moment within a preset historical curing period corresponding to each moment to be controlled, maps all ambient temperature data to corresponding timestamps, and fits an ambient temperature curve; the ambient temperature curve is used to help evaluate the impact of external environmental changes on the temperature control of steam curing.

[0058] In another embodiment of the present invention, the implementer may also establish a data acquisition system, such as connecting all sensors and ultrasonic pulse meters to a data collector to receive the collected data of each sensor in real time; at the same time, a monitoring software platform is established to visualize the collected data and draw a real-time curve chart corresponding to each sensor, thereby determining the corresponding temperature curve, ultrasonic propagation speed curve and ambient temperature curve at each moment to be controlled; this is a well-known technology and will not be described in detail.

[0059] Step S2: Based on the information of drastic temperature changes in each temperature curve, the local stress parameters of the cement pole at the corresponding measuring point are obtained; based on the local stress parameters of the cement pole at each measuring point and the differences between different temperature curves, the thermal conduction parameters of the mold at the time to be controlled are obtained; based on the changing trend of each ultrasonic propagation velocity curve, the curing strength of the cement pole at the corresponding measuring point is obtained.

[0060] Considering that during the maintenance of cement poles, excessively rapid temperature increase may lead to uneven cement hydration reaction, causing the outer layer of cement on the cement pole to harden and expand rapidly, while the inner layer of cement may not have begun to harden, thereby generating stress or causing cracking; therefore, the embodiment of the present invention will analyze the temperature increase at the corresponding measuring point based on the temperature change in the temperature curve, thereby evaluating the local stress parameters of the cement pole at the corresponding measuring point. The local stress parameters prepare for the subsequent evaluation of the solidification condition of the cement pole.

[0061] Preferably, in one embodiment of the present invention, considering the difference between adjacent temperature data in each temperature curve can help evaluate the temperature rise, and the overall change trend of the temperature curve can also help evaluate the temperature rise; based on this, the method for obtaining local stress parameters includes:

[0062] In each temperature curve, a first temperature rise parameter is obtained based on the temperature difference between all adjacent acquisition moments; a second temperature rise parameter is obtained based on the overall change trend of each temperature curve;

[0063] The first temperature rise parameter and the second temperature rise parameter are integrated to obtain the local stress parameters of the cement pole at the measuring point corresponding to each temperature curve.

[0064] In a preferred embodiment of the present invention, the method for obtaining the first temperature rise parameter and the second temperature rise parameter includes:

[0065] In each temperature curve, the normalized value of the difference between the temperature data corresponding to each acquisition moment and the temperature data corresponding to the previous acquisition moment is used as the first temperature rise sub-parameter, and the cumulative sum of all first temperature rise sub-parameters is used as the first temperature rise parameter;

[0066] The difference between the last temperature data and the first temperature data in each temperature curve is divided by the time interval between the corresponding acquisition moments, and the normalized value of the quotient is used as the second temperature rise parameter.

[0067] As an example, a linear normalization method is specifically adopted to make the value range of the first temperature rise sub-parameter and the second temperature rise parameter 0-1 for subsequent calculations; the first temperature rise parameter reflects the temperature rise rate at the corresponding measuring point from the temperature rise angle between adjacent moments, and the second temperature rise parameter reflects the temperature rise rate at the corresponding measuring point from the overall temperature rise angle of the preset historical maintenance period; then the first temperature rise parameter and the second temperature rise parameter of each temperature curve are multiplied and fused, and the product is used as the local stress parameter of the cement pole at the corresponding measuring point of the temperature curve.

[0068] In other examples, implementers may also adopt other normalization methods or mapping methods; and may also adopt other basic mathematical operations such as addition or weighted fusion to fuse the first temperature rise parameter and the second temperature rise parameter.

[0069] Considering that during the steam curing process, stress concentration at a single measuring point or inconsistent stress concentration between different measuring points may cause deformation and cracking of the cement pole, which may further increase the degree of uneven heating, making it impossible for the cement pole to be better cured and demolded; considering that the more similar the temperature amplitude level and heating rate of the cement pole at each measuring point of the mold are, the more uniform the steam temperature transfers to the cement pole inside the mold, which also indirectly indicates that the thermal conductivity of the mold is better; and the local stress parameter can reflect the heating rate at the corresponding measuring point;

[0070] Therefore, the embodiment of the present invention will obtain the thermal conductivity parameters of the mold at the time to be controlled based on the local stress parameters of the cement pole at each measuring point and the differences between different temperature curves; the thermal conductivity parameters of the mold also prepare for the subsequent evaluation of the curing condition of the cement pole.

[0071] Preferably, in one embodiment of the present invention, considering that the local stress parameters of the cement pole at all measuring points are larger, it is indirectly explained that the overall stress of the cement pole is more concentrated, which further indicates that the heat conduction effect of the mold is poor and cannot lead to stable and uniform solidification of the cement; considering that the temperature levels at different measuring points are greatly different, it is also explained that the heat conduction effect of the mold is poor and cannot make the cement pole heated uniformly for uniform solidification; therefore, the method for obtaining the heat conduction parameters includes:

[0072] The average value of the local stress parameters of the cement pole at all measuring points is taken as the overall stress index of the cement pole;

[0073] The mean of the temperature data in each temperature curve is used as the representative temperature of each measuring point, and the temperature difference between the corresponding representative temperatures of different measuring points is combined to obtain the temperature unevenness parameter;

[0074] The overall stress index and temperature unevenness parameter are fused, and the negative correlation mapping result of the fusion result is used as the heat conduction parameter of the mold at the time to be controlled.

[0075] As an example, first obtain the overall stress index of the cement pole and the representative temperature of each measuring point. The overall stress index combines the local stress conditions of all measuring points and reflects the average level of stress concentration in the cement pole; the representative temperature reflects the average temperature level of each measuring point during the preset historical maintenance period.

[0076] Then, the measuring points are combined in pairs, and the absolute value of the difference between the representative temperatures of two different measuring points in each group is used as the temperature unevenness sub-parameter; the temperature unevenness sub-parameters between all groups of different measuring points are averaged to obtain the temperature unevenness parameter;

[0077] The overall stress index and the temperature unevenness parameter are further multiplied and integrated, and the product is used as the x in the exponential function exp(-x) with the natural constant e as the base to perform negative correlation mapping adjustment logic. The larger the overall stress index and the temperature unevenness parameter, the smaller the heat conduction parameter, indicating that the heat conduction effect of the mold is poor.

[0078] In other examples, implementers may also use the maximum value or mode of the temperature data in each temperature curve as the representative temperature of each measuring point; they may also directly compare the curve differences between the temperature curves corresponding to two measuring points, such as the mean square error, DTW distance, etc., and use the curve error as the temperature unevenness sub-parameter, and then combine the temperature unevenness sub-parameters between all different measuring points to obtain the temperature unevenness parameter; implementers may also use other basic mathematical operations such as addition or weighted fusion to fuse the overall stress index and the temperature unevenness parameter, or use other methods such as taking the inverse to perform negative correlation mapping on the fusion results.

[0079] Taking into account that during the ultrasonic detection process, the ultrasonic propagation speed can reflect the curing effect of the cement pole at the corresponding measuring point, the faster the ultrasonic propagation speed, the less likely it is that the cement at the corresponding position has defects such as uneven curing; therefore, the embodiment of the present invention will obtain the curing strength of the cement pole at the corresponding measuring point according to the changing trend of each ultrasonic propagation speed curve; the curing strength of the cement pole at each measuring point also prepares for the subsequent evaluation of the curing condition of the cement pole at the time to be controlled.

[0080] Preferably, in one embodiment of the present invention, considering that the greater the ultrasonic propagation velocity, the better the curing effect of the cement pole; and considering that the cement pole in the mold gradually solidifies over time, the ultrasonic propagation velocity should also gradually increase with the change of the detection process, and the difference between adjacent propagation velocities in the ultrasonic propagation velocity curve can reflect whether there is an increasing trend; therefore, the method for obtaining the curing strength includes:

[0081] The mean value of the propagation velocity in each ultrasonic propagation velocity curve is used as the first curing parameter; in each ultrasonic propagation velocity curve, the second curing parameter is obtained based on the propagation velocity difference between all adjacent acquisition moments;

[0082] The first curing parameter and the second curing parameter are integrated to obtain the curing strength of the cement pole at the measuring point corresponding to each ultrasonic propagation velocity curve.

[0083] As an example, first obtain the first solidification parameter, and then in each ultrasonic propagation velocity curve, use the difference between the propagation velocity corresponding to each acquisition moment and the adjacent previous acquisition moment as the second solidification sub-parameter, and use the normalized value of the mean of the second solidification sub-parameter between all adjacent acquisition moments as the second solidification parameter; then multiply and fuse the first solidification parameter with the second solidification parameter, and use the product as the solidification strength of the cement pole at the measuring point corresponding to the ultrasonic propagation velocity curve.

[0084] In other examples, the implementer may also calculate the overall slope of the ultrasonic propagation velocity curve based on the two-point formula and use the overall slope of each ultrasonic propagation velocity curve as the first curing parameter; or replace the mean with the mode or median in each ultrasonic propagation velocity curve to obtain the first curing parameter; or use other basic mathematical operations such as addition or weighted fusion to fuse the first curing parameter and the second curing parameter.

[0085] Step S3, based on the correlation between the local stress parameters and the curing strength of the cement pole at each measuring point, combined with the thermal conductivity parameters of the mold and the local stress parameters of the cement pole at all measuring points, obtain the curing state coefficient of the cement pole at the time to be controlled; based on the fluctuation characteristics of the curing state coefficient and the ambient temperature curve, combined with the change differences between different temperature curves, obtain the response deviation parameter of the temperature control system at the time to be controlled.

[0086] Taking into account the heat conduction parameters of the mold and the curing strength of the cement pole at each measuring point, both reflect, to a certain extent, the curing effect of the cement pole in the mold at the time to be controlled; and considering that there is a certain correlation between the local stress and curing strength of the cement pole at the same measuring point, the larger the local stress parameter, the worse the curing effect and the lower the curing strength. This provides a certain confidence reference for analyzing the curing state based on the local stress parameters of the cement pole and the heat conduction parameters of the mold;

[0087] Based on this, the embodiment of the present invention further obtains the solidification state coefficient of the cement pole at the time to be controlled; the solidification state coefficient reflects the solidification effect of the cement pole at the time to be controlled, and indirectly reflects the control effect of the temperature control system on the steam curing temperature, that is, the degree of influence of the temperature control system's control on the solidification effect of the cement pole, providing an analysis basis for subsequent control of the curing temperature.

[0088] Preferably, in one embodiment of the present invention, the method for obtaining the solidification state coefficient includes:

[0089] See also Figure 2 , which shows a flow chart of a method for obtaining a solidification state coefficient provided by an embodiment of the present invention, specifically comprising:

[0090] Step S301: The product of the average value of the curing strength of the cement poles at all measuring points and the heat conduction parameter is used as a curing state sub-parameter.

[0091] As an example, the mean value of the curing strength of the cement pole at all measuring points reflects, to a certain extent, the overall curing strength of the cement pole in the mold. The larger the mean value, the greater the overall curing strength of the cement pole and the better the curing state. The larger the heat conduction parameter, the more uniform the heat conduction of the mold, and the better the curing state and effect of the cement pole may be. Therefore, the two are multiplied and integrated to obtain the curing state sub-parameter.

[0092] In other examples, the implementer may also use the mode of the curing strength of cement poles at all measuring points instead of the mean value, and then combine it with the heat conduction parameter through other calculation methods such as addition or weighted summation to obtain the curing state sub-parameter.

[0093] In step S302, all measuring points are sorted and numbered in an arbitrary order, and the normalized values ​​of the local stress parameters and the normalized values ​​of the curing strength of the cement pole at each measuring point are used as data points under the corresponding serial numbers, respectively, to fit the local stress parameter change curve and the curing strength change curve; based on the change difference between the local stress parameter change curve and the curing strength change curve, the state confidence weight is obtained.

[0094] As an example, in order to facilitate the analysis of the correlation between the local stress and curing strength of cement poles at all measuring points, the local stress parameter change curve and the curing strength change curve are first constructed respectively. Among them, the horizontal axis parameters in the two change curves are the measuring point numbers, and the data points with the same number correspond to the same measuring point, so as to accurately analyze the correlation; because the units and sizes of the local stress parameters and the curing strength may not be consistent, the local stress parameters and the curing strength need to be linearly normalized respectively, so as to facilitate the subsequent comparison of the change differences between the curves, evaluate the change correlation, and obtain the state confidence weight.

[0095] Among them, considering that there is a certain negative correlation between the local stress and the curing strength of the cement pole at the same measuring point, that is, the larger the local stress parameter, the lower the curing strength, then the greater the difference between the data points corresponding to the same measuring point between the local stress parameter change curve and the curing strength change curve, the more consistent with the negative correlation characteristic; considering that the mean square error can be used to measure the difference between the predicted value and the actual value, it can also help evaluate the difference between the two change curves;

[0096] Therefore, in a preferred embodiment of the present invention, the method for obtaining the state confidence weight includes: taking the mean square error between the local stress parameter change curve and the curing strength change curve as the state confidence weight; it should be noted that the acquisition of the mean square error is an existing technology well known to those skilled in the art and will not be repeated here.

[0097] In other examples, the implementer may also directly normalize the negative correlation of the Pearson correlation coefficient between the two change curves, such as using the Pearson correlation coefficient as When the Pearson correlation coefficient approaches -1, the more negative correlation characteristics the two change curves satisfy. The corresponding negative correlation normalization value is larger, and the state confidence weight is also larger. It is also possible to negatively normalize either the local stress parameter or the curing strength, and then construct two curves respectively to measure the correlation parameters between the two curves, such as the Pearson correlation coefficient or the DTW similarity. The larger the correlation parameter, the greater the state confidence weight.

[0098] It should be noted that the Pearson correlation coefficient and DTW similarity are both well-known technologies and will not be described in detail.

[0099] Step S303: weighting the solidification state sub-parameters using the state confidence weight, and using the weighted result as the solidification state coefficient of the cement pole at the time to be regulated.

[0100] As an example, the state confidence weight is multiplied and combined with the solidification state sub-parameter, and the product is used as the solidification state coefficient of the cement pole at the time to be regulated.

[0101] Considering that rapid changes in the external ambient temperature, such as weather changes and the temperature difference between day and night, may affect the temperature regulation and heat transfer effect of the curing steam, which may increase the adjustment burden of the temperature control system, resulting in the temperature control system being unable to immediately adjust to the optimal state, and thus a certain response deviation. Furthermore, considering the temperature deviation of the temperature curve corresponding to different measuring points on the mold at the same time of acquisition, it can indirectly reflect the adjustment effect and response deviation of the temperature control system. At the same time, the curing state coefficient of the cement pole in the mold also reflects the adjustment effect of the temperature control system to a certain extent, and indirectly reflects its response deviation.

[0102] Based on this, the embodiment of the present invention obtains the response deviation parameters of the temperature control system at the time to be controlled according to the fluctuation characteristics of the curing state coefficient and the ambient temperature curve, combined with the change differences between different temperature curves; the response deviation parameters reflect the control effect of the temperature control system on the curing temperature at the time to be controlled, and prepares for subsequent curing temperature control.

[0103] Preferably, in one embodiment of the present invention, the method for obtaining the response deviation parameter includes:

[0104] See also Figure 3 , which shows a flow chart of a method for obtaining a response deviation parameter provided by an embodiment of the present invention, specifically comprising:

[0105] Step S311 , obtaining temperature sub-deviations between corresponding different measuring points according to the differences between all temperature data at the same time in different temperature curves; and obtaining temperature deviations by combining the temperature sub-deviations between all different measuring points.

[0106] As an example, the measuring points are combined in pairs. Between the corresponding temperature curves of each group of different measuring points, the absolute values ​​of the differences between the corresponding temperature data at all acquisition moments are accumulated, and the accumulated sum is used as the temperature sub-deviation between the corresponding combined measuring points; the average of the temperature sub-deviations between all groups of different measuring points is used as the temperature deviation; the temperature deviation reflects the difference in temperature changes at different measuring points, and indirectly reflects the adjustment deviation of the temperature control system, preparing for the subsequent evaluation of the response deviation parameters.

[0107] In other examples, the implementer may also directly measure difference parameters such as the mean square error and DTW distance between the temperature curves corresponding to each group of different measuring points, use the difference parameters as the temperature sub-deviation, and then calculate the temperature deviation; it should be noted that the calculation of the mean square error and DTW distance are both well-known technologies, and the implementer may also use other difference measurement methods, which will not be repeated here.

[0108] In step S312, the negative correlation mapping result of the solidification state coefficient is used as the confidence weight, the temperature deviation is weighted by using the confidence weight, and the weighted result is used as the temperature control error; the variance of the ambient temperature data in the ambient temperature curve is used as the environmental impact parameter.

[0109] Considering that the smaller the solidification state coefficient, the worse the temperature control system's effect on regulating the curing temperature, the greater the impact on the solidification of the cement pole in the mold, and the worse the solidification effect, the greater the temperature deviation in the mold should be. Therefore, the negative correlation mapping result is used as the confidence weight of the temperature deviation; considering that the variance can help evaluate the fluctuation information of the data, the fluctuation of the external ambient temperature is evaluated based on the variance of the ambient temperature data in the ambient temperature curve, and then the impact of its fluctuation on the regulation of the temperature control system is evaluated.

[0110] As an example, the solidification state coefficient is inversely operated to achieve negative correlation mapping and obtain the confidence weight; then the confidence weight is multiplied by the temperature deviation, so that when the confidence weight and temperature deviation are larger, the temperature control error of the temperature control system is larger; further, the variance of the ambient temperature data in the ambient temperature curve is used as the environmental influence parameter. The larger the environmental influence parameter is, the greater the regulation impact on the temperature control system, and thus the response deviation of the temperature control system may also be greater.

[0111] In other examples, implementers may also adopt other negative correlation mapping methods, such as using the solidification state coefficient as the x in the exponential function exp(-x) with the natural constant e as the base; or measuring the fluctuation of the ambient temperature curve based on other discrete parameters such as the range, which are all existing technologies and will not be repeated here.

[0112] Step S313: Fusing the temperature control error and the environmental impact parameter, and using the fusion result as the response deviation parameter.

[0113] As an example, the temperature control error and the environmental impact parameter are respectively used as independent variables in the hyperbolic tangent function, and then normalized so that the normalized result has a value range of 0-1. Then, the normalized temperature control error and the normalized environmental impact parameter are added and fused, and the fusion result is used as the response deviation parameter.

[0114] In other examples, implementers may also fuse the two through other calculation methods such as addition or weighted summation, which will not be described in detail.

[0115] Step S4: at each time point to be regulated, regulating the curing temperature according to the corresponding response deviation parameter.

[0116] After obtaining the response deviation parameters at the time to be adjusted, the curing temperature can be adjusted according to the corresponding response deviation parameters.

[0117] Preferably, in one embodiment of the present invention, considering that the larger the response deviation parameter is, the greater the deviation is in the temperature control system's control of the curing temperature of the cement pole at the time to be controlled, it is necessary to appropriately adjust the proportional gain of the PID controller in the temperature control system to ensure the sensitivity and response speed of the temperature control system to temperature changes and external interference, and dynamically control the curing process of the cement pole so that the cement can reach the appropriate curing strength as quickly as possible to form a good demoulding foundation; therefore, the method for controlling the curing temperature includes:

[0118] The Ziegler–Nichols method is used to obtain the initial proportional gain of the PID controller in the temperature control system. At the time to be controlled, it is used as the adjustment weight. The initial proportional gain is adjusted using the response deviation parameter to obtain the corrected proportional gain. The curing temperature is adjusted based on the corrected proportional gain and the PID algorithm.

[0119] In the above control method, the Ziegler–Nichols method is first used to obtain the initial proportional gain, initial integral gain and initial differential gain of the PID controller, and then the response deviation parameter is multiplied by the initial proportional gain to obtain the corrected proportional gain; wherein, the value range of the response deviation parameter is 0-2, that is, the adjustment of the initial proportional gain includes increasing and decreasing. When the response deviation parameter is large, the initial proportional gain needs to be appropriately increased to improve the response speed; on the contrary, when the response deviation parameter is small, the initial proportional gain needs to be appropriately reduced to avoid excessive adjustment while maintaining a good response speed; then, the proportional gain, initial integral gain and initial differential gain are comprehensively corrected, and the curing temperature is adjusted in real time based on the PID algorithm to improve the curing effect of the cement pole in the mold and form a good demoulding basis.

[0120] It should be noted that the Ziegler–Nichols method and the PID algorithm are both existing technologies well known to those skilled in the art and will not be described in detail here.

[0121] The present invention also provides a method for rapid demoulding of cement poles, which specifically includes:

[0122] Step S1, at the time to be controlled in the curing stage, obtain the temperature curve and ultrasonic propagation velocity curve of each measuring point on the mold in the corresponding preset historical curing period, and obtain the ambient temperature curve in the corresponding preset historical curing period.

[0123] Step S2: Based on the information of drastic temperature changes in each temperature curve, the local stress parameters of the cement pole at the corresponding measuring point are obtained; based on the local stress parameters of the cement pole at each measuring point and the differences between different temperature curves, the thermal conduction parameters of the mold at the time to be controlled are obtained; based on the changing trend of each ultrasonic propagation velocity curve, the curing strength of the cement pole at the corresponding measuring point is obtained.

[0124] Step S3, based on the correlation between the local stress parameters and the curing strength of the cement pole at each measuring point, combined with the thermal conductivity parameters of the mold and the local stress parameters of the cement pole at all measuring points, obtain the curing state coefficient of the cement pole at the time to be controlled; based on the fluctuation characteristics of the curing state coefficient and the ambient temperature curve, combined with the change differences between different temperature curves, obtain the response deviation parameter of the temperature control system at the time to be controlled.

[0125] Step S4: at each time point to be regulated, regulating the curing temperature according to the corresponding response deviation parameter.

[0126] Step S5: After curing is completed, the cement pole is demoulded from the mold.

[0127] During the curing stage, the curing temperature is adjusted in real time according to the response deviation parameters at each time to be adjusted until the curing is completed; when the curing is completed, after ensuring that the strength of the cement pole in the mold has reached the demolding standard, an automatic demolding device such as a robotic arm or a vibration device is used to ensure that uniform force is provided during the demolding process to avoid damage to the formed cement pole; at the same time, before steam curing, a release agent is applied to the mold to reduce the adhesion between the cement pole and the mold for quick demolding.

[0128] Among them, steps S1-S4 have been described in detail in the above-mentioned embodiment of the intelligent temperature control method for cement pole molds and will not be repeated here.

[0129] In summary, the present invention obtains the local stress parameters of the cement pole at the corresponding measuring point by analyzing the changes in the temperature curve at each measuring point at each time to be regulated, and then obtains the heat conduction parameters of the mold by combining the differences between different temperature curves; then analyzes the change trend of the ultrasonic propagation velocity curve at each measuring point to obtain the curing strength of the cement pole at the corresponding measuring point, and combines the correlation between the local stress parameters and the curing strength of the cement pole at each measuring point to obtain the curing state coefficient of the cement pole; then, based on the curing state coefficient and the fluctuation characteristics of the ambient temperature curve, combined with the change differences between different temperature curves, obtains the response deviation parameter of the temperature control system; finally, at each time to be regulated, the curing temperature is controlled according to the corresponding response deviation parameter. Based on the curing state of the cement pole in the mold, the present invention combines the interference of the external environment and the temperature differences at different measuring points to accurately evaluate the response deviation of the temperature control system during steam curing, and then automatically adjusts the curing temperature through the temperature control system, thereby improving the intelligent temperature control effect during the curing process of the cement pole, and improving the curing effect of the cement, laying the foundation for rapid demoulding.

[0130] It should be noted that the order in which the embodiments of the present invention are described above is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0131] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

Claims

1. An intelligent temperature control method for cement pole mold, characterized in that: The method comprises: At the waiting time of the curing stage, the temperature curve and ultrasonic wave propagation velocity curve of each measuring point on the mold in the corresponding preset historical curing period are obtained, and the ambient temperature curve in the corresponding preset historical curing period is obtained; According to the information of the drastic temperature change in each temperature curve, the local stress parameter of the cement pole at the corresponding measuring point is obtained; according to the local stress parameter of the cement pole at each measuring point and the difference between different temperature curves, the heat conduction parameter of the mold at the time to be controlled is obtained; according to the change trend of each ultrasonic propagation velocity curve, the curing strength of the cement pole at the corresponding measuring point is obtained; According to the correlation between the local stress parameter and the curing strength of the cement pole at each measuring point, combined with the heat conduction parameter of the mold and the local stress parameters of the cement pole at all measuring points, the curing state coefficient of the cement pole at the time to be controlled is obtained; according to the curing state coefficient and the fluctuation characteristics of the ambient temperature curve, combined with the change difference between different temperature curves, the response deviation parameter of the temperature control system at the time to be controlled is obtained; At each time to be regulated, the curing temperature is regulated according to the corresponding response deviation parameter.

2. The intelligent temperature control method for cement pole mold according to claim 1, characterized in that: The method for obtaining the local stress parameters includes: In each of the temperature curves, a first temperature rise parameter is obtained according to the temperature difference between all adjacent acquisition moments; and a second temperature rise parameter is obtained according to the overall change trend of each of the temperature curves; The first temperature rise parameter and the second temperature rise parameter are integrated to obtain the local stress parameter of the cement pole at the measuring point corresponding to each temperature curve.

3. The intelligent temperature control method for cement pole mold according to claim 2, characterized in that: The method for obtaining the first temperature rise parameter and the second temperature rise parameter includes: In each of the temperature curves, a normalized value of the difference between the temperature data corresponding to each acquisition moment and the temperature data corresponding to the previous acquisition moment is used as a first temperature rise sub-parameter, and the cumulative sum of all the first temperature rise sub-parameters is used as the first temperature rise parameter; The difference between the last temperature data and the first temperature data in each temperature curve is divided by the time interval between the corresponding acquisition moments, and the normalized value of the quotient is used as the second temperature rise parameter.

4. The intelligent temperature control method for cement pole mold according to claim 1, characterized in that: The method for obtaining the heat conduction parameters includes: The average value of the local stress parameters of the cement pole at all measuring points is used as the overall stress index of the cement pole; Taking the mean of the temperature data in each temperature curve as the representative temperature of each measuring point, and comprehensively analyzing the temperature differences between the representative temperatures corresponding to different measuring points to obtain a temperature unevenness parameter; The overall stress index and the temperature nonuniformity parameter are fused, and a negative correlation mapping result of the fusion result is used as the heat conduction parameter of the mold at the time to be controlled.

5. The intelligent temperature control method for cement pole mold according to claim 1, characterized in that: The method for obtaining the curing strength includes: taking the mean of the propagation velocities in each of the ultrasonic propagation velocity curves as the first curing parameter; and obtaining the second curing parameter based on the propagation velocity differences between all adjacent acquisition moments in each of the ultrasonic propagation velocity curves; The first curing parameter and the second curing parameter are integrated to obtain the curing strength of the cement pole at the measuring point corresponding to each ultrasonic propagation velocity curve.

6. The intelligent temperature control method for cement pole mold according to claim 1, characterized in that: The method for obtaining the solidification state coefficient includes: The product of the average value of the curing strength of the cement pole at all measuring points and the heat conduction parameter is used as the curing state sub-parameter; All measuring points are sorted and numbered in an arbitrary order, and the normalized value of the local stress parameter and the normalized value of the curing strength of the cement pole at each measuring point are used as data points under the corresponding serial numbers, respectively, to fit the local stress parameter change curve and the curing strength change curve; based on the change difference between the local stress parameter change curve and the curing strength change curve, the state confidence weight is obtained; The solidification state sub-parameter is weighted using the state confidence weight, and the weighted result is used as the solidification state coefficient of the cement pole at the time to be regulated.

7. The intelligent temperature control method for cement pole mold according to claim 6, characterized in that: The method for obtaining the state confidence weight includes: The mean square error between the local stress parameter change curve and the curing strength change curve is used as the state confidence weight.

8. The intelligent temperature control method for cement pole mold according to claim 1, characterized in that: The method for obtaining the response deviation parameter includes: Obtaining temperature sub-deviations between corresponding different measuring points based on differences between all temperature data at the same time in different temperature curves; and obtaining temperature deviations by combining the temperature sub-deviations between all different measuring points; The negative correlation mapping result of the solidification state coefficient is used as a confidence weight, the temperature deviation is weighted by using the confidence weight, and the weighted result is used as the temperature control error; the variance of the ambient temperature data in the ambient temperature curve is used as the environmental influence parameter; The temperature control error and the environmental impact parameter are fused, and the fusion result is used as a response deviation parameter.

9. The intelligent temperature control method for cement pole mold according to claim 1, characterized in that: The method for controlling the curing temperature includes: The initial proportional gain of the PID controller in the temperature control system is obtained using the Ziegler–Nichols method; at the time to be controlled, it is used as an adjustment weight; the initial proportional gain is adjusted using the response deviation parameter to obtain a corrected proportional gain; and the curing temperature is adjusted based on the corrected proportional gain and the PID algorithm.

10. A method for rapid demoulding of cement poles, characterized in that: The method comprises: At the waiting time of the curing stage, the temperature curve and ultrasonic wave propagation velocity curve of each measuring point on the mold in the corresponding preset historical curing period are obtained, and the ambient temperature curve in the corresponding preset historical curing period is obtained; According to the information of the drastic temperature change in each temperature curve, the local stress parameter of the cement pole at the corresponding measuring point is obtained; according to the local stress parameter of the cement pole at each measuring point and the difference between different temperature curves, the heat conduction parameter of the mold at the time to be controlled is obtained; according to the change trend of each ultrasonic propagation velocity curve, the curing strength of the cement pole at the corresponding measuring point is obtained; According to the correlation between the local stress parameter and the curing strength of the cement pole at each measuring point, combined with the heat conduction parameter of the mold and the local stress parameters of the cement pole at all measuring points, the curing state coefficient of the cement pole at the time to be controlled is obtained; according to the curing state coefficient and the fluctuation characteristics of the ambient temperature curve, combined with the change difference between different temperature curves, the response deviation parameter of the temperature control system at the time to be controlled is obtained; At each time to be regulated, the curing temperature is regulated according to the corresponding response deviation parameter; After curing, the cement pole is demoulded from the mold.

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