Self-regulation electric tracing band detection method, device and system

Abstract

The invention relates to the technical field of electric tracing band detection, in particular to a self-regulation electric tracing band detection method, device and system, and the method comprises the steps: obtaining the power change curve of different preset detection points on a target pipeline to which a to-be-detected electric tracing band belongs at different simulation environment temperatures, the starting delay time length and the target temperature when the power is stable; and a pipeline desired temperature; determining the consistency of the temperature control effect corresponding to each preset detection point; all the preset detection points are clustered, and a target cluster is screened out from clusters obtained through clustering; determining a temperature control quality performance value according to the determined detection point distribution influence value and the difference between the target temperatures corresponding to different preset detection points; and determining an overall temperature control effect according to the temperature control quality performance value, all the starting delay durations and the distribution of all the target temperatures so as to detect the to-be-detected electric tracing band. According to the invention, the detection of the electric tracing band is realized, and the detection accuracy of the electric tracing band is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of self-regulating heating cable detection, and particularly to a self-regulating heating cable detection method, device and system. Background Art

[0002] Self-Regulating Heating Cable utilizes the resistance-temperature characteristics of PTC (Positive Temperature Coefficient) materials to achieve automatic power adjustment, and is widely used in fields such as pipeline anti-freezing and process heat preservation. Its core feature is the use of PTC materials to automatically adjust the current size when the temperature changes, thereby adjusting the output power, so as to avoid overheating or overcooling of the heating cable. As the temperature rises, the resistance of the PTC material increases and the output power decreases; as the temperature decreases, the resistance decreases and the output power increases.

[0003] Traditional detection methods are usually used for performance testing in a single environment, and it is difficult to comprehensively evaluate the temperature control effect of the heating cable under actual working conditions. For example, when a chemical pipeline is transported over a long distance, the non-linear temperature distribution caused by medium flow or environmental exposure will cause the temperature control effect of the heating cable to be affected by changes in various external environmental temperatures, and the heating cables at different positions may exhibit different temperature control effects; therefore, only through performance testing in a single environment, the detection results often cannot reflect the true performance of the heating cable in actual applications, resulting in poor accuracy of heating cable detection. Summary of the Invention

[0004] In order to solve the technical problem of poor accuracy of heating cable detection, the present invention proposes a self-regulating heating cable detection method, device and system.

[0005] In a first aspect, the present invention provides a self-regulating heating cable detection method, which includes: Obtain the power change curve, start-up delay duration and target temperature when the power is stable, as well as the pipeline desired temperature at different preset detection points on the target pipeline to which the heating cable to be detected belongs under different simulated environmental temperatures; Based on the power change curve and start-up delay duration at different preset detection points under different simulated environmental temperatures, and the difference between the target temperature and the pipeline desired temperature, determine the temperature control effect consistency corresponding to each preset detection point; Cluster all preset detection points according to the positions and temperature control effect consistencies of different preset detection points, and select a target cluster from the obtained clusters; Determine the detection point distribution influence value according to the number of preset detection points in all target clusters and the temperature control effect consistencies corresponding to different preset detection points; Determine the temperature control quality performance value based on the influence value of the distribution of detection points and the difference between the target temperatures corresponding to different preset detection points; Determine the overall temperature control effect based on the temperature control quality performance value, as well as the distribution of all start-up delay durations and all target temperatures; Detect the electric heat tracing tape to be detected according to the overall temperature control effect.

[0006] Combined with the above first aspect, in a possible implementation manner, the obtaining of the power change curve, start-up delay duration, and target temperature when the power is stable at different preset detection points on the target pipeline to which the electric heat tracing tape to be detected belongs under different simulated ambient temperatures includes: Determine any one preset detection point as the marked detection point, and determine any one simulated ambient temperature as the marked ambient temperature; When the ambient temperature at the marked detection point is the marked ambient temperature, start the electric heat tracing tape to be detected, and during the start-up process of the electric heat tracing tape to be detected, collect the power of the electric heat tracing tape to be detected to form the power change curve of the marked detection point at the marked ambient temperature, and determine the start-up moment of the marked detection point at the marked ambient temperature as the start-up moment; Determine the temperature at the marked detection point collected at the acquisition moment of the first power corresponding to the mode of all powers in the power change curve as the target temperature of the marked detection point at the marked ambient temperature; Determine the start-running moment of the marked detection point at the marked ambient temperature as the moment corresponding to the first non-zero power in the power change curve; Determine the duration between the start-up moment and the start-running moment of the marked detection point at the marked ambient temperature as the start-up delay duration of the marked detection point at the marked ambient temperature.

[0007] Combined with the above first aspect, in a possible implementation manner, the determining of the temperature control effect consistency corresponding to each preset detection point based on the power change curve and start-up delay duration of each preset detection point under different simulated ambient temperatures, and the difference between the target temperature and the pipeline expected temperature includes: Determine any one preset detection point as the marked detection point, and determine the average value of the slopes of all data points in the power change curve of the marked detection point at each simulated ambient temperature as the power change rate of the marked detection point at each simulated ambient temperature; Determine the adjustment speed difference factor corresponding to the marked detection point according to the difference between the power change rates of the marked detection point at different simulated ambient temperatures; Determine the temperature control adjustment consistency corresponding to the marked detection point according to the adjustment speed difference factor corresponding to the marked detection point and the difference between the target temperature and the expected temperature of the pipeline; Determine the temperature control effect consistency corresponding to the marked detection point according to the temperature control adjustment consistency corresponding to the marked detection point and the startup delay duration of the marked detection point under all simulated ambient temperatures, wherein the temperature control adjustment consistency and the temperature control effect consistency are positively correlated, and the startup delay duration and the temperature control effect consistency are negatively correlated.

[0008] Combined with the above first aspect, in a possible implementation manner, the determining the temperature control adjustment consistency corresponding to the marked detection point according to the adjustment speed difference factor corresponding to the marked detection point and the difference between the target temperature and the expected temperature of the pipeline includes: Determine the absolute value of the difference between the target temperature and the expected temperature of the pipeline at the marked detection point under each simulated ambient temperature as the temperature difference value of the marked detection point under each simulated ambient temperature; Determine the temperature control adjustment consistency corresponding to the marked detection point according to the temperature difference values of the marked detection point under all simulated ambient temperatures and the adjustment speed difference factor corresponding to the marked detection point, wherein both the temperature difference value and the adjustment speed difference factor are negatively correlated with the temperature control adjustment consistency.

[0009] Combined with the above first aspect, in a possible implementation manner, the determining the detection point distribution influence value according to the number of preset detection points in all target clusters and the temperature control effect consistency corresponding to different preset detection points includes: Determine the local influence factor corresponding to each target cluster according to the number of preset detection points in each target cluster and the temperature control effect consistency corresponding to all preset detection points in each target cluster; Determine the detection point distribution influence value according to the number of target clusters and the local influence factors corresponding to all target clusters.

[0010] Combined with the above first aspect, in a possible implementation manner, the determining the temperature control quality performance value according to the detection point distribution influence value and the difference between the target temperatures corresponding to different preset detection points includes: Determine the adjacent detection temperature difference index at each simulated ambient temperature according to the difference between the target temperatures of all preset detection points at the same simulated ambient temperature; Determine the temperature control quality performance value according to the adjacent detection temperature difference indexes at all simulated ambient temperatures and the detection point distribution influence value, wherein both the adjacent detection temperature difference index and the detection point distribution influence value are negatively correlated with the temperature control quality performance value.

[0011] Combined with the above first aspect, in a possible implementation manner, determining the overall temperature control effect according to the temperature control quality performance value, and the distributions of all start-up delay durations and all target temperatures includes: Screen out the reference ambient temperature corresponding to each preset detection point from all simulated ambient temperatures; Determine the start-up delay duration of each preset detection point at its corresponding reference ambient temperature as the delay representative duration corresponding to each preset detection point; Determine the target temperature of each preset detection point at its corresponding reference ambient temperature as the temperature representative index corresponding to each preset detection point; Determine the overall temperature control effect according to the variance of the delay representative durations corresponding to all preset detection points, the variance of the temperature representative indexes corresponding to all preset detection points, and the temperature control quality performance value.

[0012] Combined with the above first aspect, in a possible implementation manner, detecting the to-be-detected self-regulating heating cable according to the overall temperature control effect includes: If the overall temperature control effect is greater than a preset effect threshold, determine that the quality of the to-be-detected self-regulating heating cable is qualified; If the overall temperature control effect is less than or equal to the preset effect threshold, determine that the quality of the to-be-detected self-regulating heating cable is unqualified.

[0013] In a second aspect, the present invention provides a self-regulating heating cable detection device, including a processor and a memory, and the processor is used to process instructions stored in the memory to implement the method in the above first aspect or any possible implementation manner of the first aspect.

[0014] In a third aspect, the present invention provides a self-regulating heating cable detection system, and the system includes: A data acquisition module, configured to acquire the power change curves, start-up delay durations, and target temperatures when the power is stable at different preset detection points on the target pipeline to which the to-be-detected self-regulating heating cable belongs, as well as the pipeline expected temperature, under different simulated ambient temperatures; A temperature control effect consistency determination module, configured to determine the temperature control effect consistency corresponding to each preset detection point based on the power change curves and start-up delay durations of each preset detection point under different simulated ambient temperatures, and the difference between the target temperature and the pipeline expected temperature; A clustering and screening module, configured to cluster all preset detection points according to the positions of different preset detection points and the temperature control effect consistency, and screen out the target clusters from the obtained clusters; A detection point distribution influence value determination module, configured to determine the detection point distribution influence value according to the number of preset detection points in all target clusters and the temperature control effect consistency corresponding to different preset detection points; A temperature control quality performance value determination module, configured to determine a temperature control quality performance value according to the influence value of the detection point distribution and the difference between the target temperatures corresponding to different preset detection points; An overall temperature control effect determination module, configured to determine an overall temperature control effect according to the temperature control quality performance value, and the distributions of all start-up delay durations and all target temperatures; An electric tracing cable detection module, configured to detect the to-be-detected electric tracing cable according to the overall temperature control effect.

[0015] In a fourth aspect, a server is provided, including a memory and a processor. The memory is used to store executable program code, and the processor is used to call and run the executable program code from the memory, so that the device executes the method in the first aspect or any possible implementation manner of the first aspect.

[0016] In a fifth aspect, a computer program product is provided, including: computer program code, when the computer program code runs on a computer, enabling the computer to execute the method in the first aspect or any possible implementation manner of the first aspect.

[0017] In a sixth aspect, a computer-readable storage medium is provided, storing computer program code, when the computer program code runs on a computer, enabling the computer to execute the method in the first aspect or any possible implementation manner of the first aspect.

[0018] The present invention has the following beneficial effects: The self-regulating electric tracing cable detection method of the present invention realizes the detection of the electric tracing cable, solves the technical problem of poor accuracy in the detection of the electric tracing cable, and improves the accuracy of the detection of the electric tracing cable. Specifically, when detecting the electric tracing cable, the present invention realizes the simulation of multiple environments through multiple simulated ambient temperatures, comprehensively considers the power change curves and start-up delay durations of different preset detection points at different simulated ambient temperatures, and the difference between the target temperature and the expected temperature of the pipeline, thereby quantifying the consistency of the temperature control effects corresponding to different preset detection points, and quantifying the consistency of the temperature control effects corresponding to different preset detection points, the influence value of the detection point distribution, and the temperature control quality performance value, realizing the detection of the electric tracing cable, and further improving the accuracy of the detection of the electric tracing cable. Description of the Drawings

[0019] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0020] Figure 1 It is a flowchart of a self-regulating electric tracing cable detection method of the present invention; Figure 2 It is a schematic diagram of the composition structure of a self-regulating electric tracing cable detection system of the present invention; Figure 3 It is a schematic diagram of the structure of a computer device of the present invention. Detailed Embodiments

[0021] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the intended invention purpose, the following will, in conjunction with the accompanying drawings and preferred embodiments, detail the specific embodiments, structures, features, and effects of the technical solutions proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0022] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which the present invention belongs.

[0023] Referring to Figure 1 , the flow of some embodiments of a self-regulating electric tracing cable detection method of the present invention is shown. The self-regulating electric tracing cable detection method includes the following steps: Step S1, obtain the power change curve, start delay duration, and target temperature when the power is stable, as well as the pipeline desired temperature, at different preset detection points on the target pipeline to which the electric tracing cable to be detected belongs under different simulated environmental temperatures.

[0024] Among them, the heating cable to be detected can be a self-regulating heating cable to be subjected to quality inspection. The target pipeline can be a pipeline with the heating cable to be detected installed on its outer surface for testing the heating cable to be detected. Different preset detection points can be different position points preset on the target pipeline. Different simulated ambient temperatures can be different ambient temperatures simulated by a temperature control box. For example, there can be 6 simulated ambient temperatures, which can be 0°, 10°, 20°, 30°, 40°, and 50° respectively. The power change curve can characterize the power change caused by the change over time. Its abscissa can be time, that is, the power acquisition moment, and its ordinate can be power. The start-up delay duration can represent the response time when the heating cable to be detected starts up. In actual situations, in a stable temperature environment, at the initial stage of the start-up of the self-regulating heating cable, its power often gradually rises until it reaches stability. The target temperature at power stability can be the temperature at the preset detection point on the target pipeline when the power of the self-regulating heating cable reaches stability during the start-up process. The expected pipeline temperature can be the temperature that is artificially expected for the pipeline to reach.

[0025] As an example, this step can include the following steps: First step, determine any one of the preset detection points as the marked detection point, and determine any one of the simulated ambient temperatures as the marked ambient temperature.

[0026] Second step, when the ambient temperature at the above-mentioned marked detection point is the above-mentioned marked ambient temperature, start the above-mentioned heating cable to be detected, and during the start-up process of the above-mentioned heating cable to be detected, collect the power of the above-mentioned heating cable to be detected to form the power change curve of the above-mentioned marked detection point at the above-mentioned marked ambient temperature, and determine the moment when the above-mentioned heating cable to be detected is started as the start-up moment of the above-mentioned marked detection point at the above-mentioned marked ambient temperature.

[0027] It should be noted that in actual situations, when the ambient temperature at the marked detection point is the marked ambient temperature, that is, install a temperature control box at the marked detection point, make the marked detection point fall within the temperature control box, and make the ambient temperature at the marked detection point reach the marked ambient temperature. The ambient temperatures at other position points on the target pipeline except the marked detection point can be the same, and the ambient temperatures at other position points on the target pipeline except the marked detection point can be the temperatures preset in advance to exclude the interference of the ambient temperatures at other position points when analyzing the marked detection point. For example, at this time, the ambient temperatures at other position points on the target pipeline except the marked detection point can be 15°.

[0028] In the third step, the temperature at the marked detection point collected at the acquisition moment of the first power corresponding to the mode among all the powers in the above power change curve is determined as the target temperature of the above marked detection point under the above marked environmental temperature.

[0029] In actual situations, in a stable temperature environment, at the initial stage of the self-regulating electric heating tape startup, its power often gradually rises until it reaches stability. Therefore, the mode among all the powers in the power change curve often represents the power that reaches stability during the startup process of the electric heating tape to be detected. Thus, the first power corresponding to the mode among all the powers in the power change curve is often the first power when the power of the electric heating tape to be detected reaches stability during the startup process. The target temperature of the marked detection point under the marked environmental temperature is often the temperature of the marked detection point when the power of the electric heating tape to be detected reaches stability under the marked environmental temperature.

[0030] In the fourth step, the moment corresponding to the first non-zero power in the above power change curve is determined as the start time of operation of the above marked detection point under the above marked environmental temperature.

[0031] In the fifth step, the duration between the start-up time and the start time of operation of the above marked detection point under the above marked environmental temperature is determined as the start-up delay duration of the above marked detection point under the above marked environmental temperature.

[0032] In the sixth step, the temperature that the target pipeline needs to reach, that is, the pipeline desired temperature, is preset.

[0033] Step S2: Based on the power change curves and start-up delay durations of each preset detection point under different simulated environmental temperatures, and the difference between the target temperature and the pipeline desired temperature, determine the temperature control effect consistency corresponding to each preset detection point.

[0034] As an example, this step may include the following steps: In the first step, any one of the preset detection points is determined as the marked detection point, and the average value of the slopes of all the data points in the power change curve of the above marked detection point under each simulated environmental temperature is determined as the power change rate of the above marked detection point under each simulated environmental temperature.

[0035] Among them, the power included in the last data point in the power change curve may be the first power corresponding to the mode among all the powers in the power change curve.

[0036] In the second step, according to the difference between the power change rates of the above marked detection point under different simulated environmental temperatures, determine the adjustment speed difference factor corresponding to the above marked detection point.

[0037] For example, the formula for determining the adjustment speed difference factor corresponding to the preset detection point may be: ; wherein, is the adjustment speed difference factor corresponding to the i-th preset detection point. i is the serial number of the preset detection point, and the positions of the preset detection points with adjacent serial numbers are adjacent. J is the number of simulated environmental temperatures. j is the serial number of the simulated environmental temperature, and the smaller the serial number of the simulated environmental temperature, the lower the simulated environmental temperature. is the absolute value function. is the power change rate of the i-th preset detection point at the j-th simulated environmental temperature. is the power change rate of the i-th preset detection point at the (j + 1)-th simulated environmental temperature.

[0038] It should be noted that when is larger, it often indicates that the difference in the power change rates of the i-th preset detection point under different simulated environmental temperatures is larger, often indicating that the difference in the adjustment speeds of the i-th preset detection point under different simulated environmental temperatures is larger, and often indicating that the difference in the adjustment speeds of the electric tracing band when the environmental temperature at the i-th preset detection point changes is larger.

[0039] Step 3. Determining the temperature control adjustment consistency corresponding to the above-mentioned marked detection points according to the adjustment speed difference factor corresponding to the above-mentioned marked detection points and the difference between the target temperature and the expected temperature of the pipeline may include the following sub-steps: The first sub-step: determining the absolute value of the difference between the target temperature and the above-mentioned expected temperature of the pipeline at each simulated environmental temperature of the above-mentioned marked detection point as the temperature difference value of the above-mentioned marked detection point at each simulated environmental temperature.

[0040] The second sub-step: determining the temperature control adjustment consistency corresponding to the above-mentioned marked detection points according to the temperature difference values of the above-mentioned marked detection points at all simulated environmental temperatures and the adjustment speed difference factor corresponding to the above-mentioned marked detection points.

[0041] Among them, both the temperature difference value and the adjustment speed difference factor may have a negative correlation with the temperature control adjustment consistency.

[0042] For example, the formula for determining the temperature control adjustment consistency corresponding to the preset detection point may be: ; wherein, is the temperature control adjustment consistency corresponding to the i-th preset detection point. i is the serial number of the preset detection point. is the natural exponential function. is the adjustment speed difference factor corresponding to the i-th preset detection point. J is the number of simulated environmental temperatures. j is the serial number of the simulated environmental temperature. is the absolute value function. is the temperature difference value of the i-th preset detection point at the j-th simulated ambient temperature. is the target temperature of the i-th preset detection point at the j-th simulated ambient temperature. T is the desired temperature of the pipeline.

[0043] It should be noted that when is smaller, it often indicates that the adjustment speed of the i-th preset detection point at different simulated ambient temperatures is relatively more consistent, and it often indicates that the adjustment speed of the electric tracing band when the ambient temperature at the i-th preset detection point changes is relatively more consistent. When is smaller, it often indicates that the target temperatures of the i-th preset detection point at different simulated ambient temperatures are more similar, and it often indicates that the temperatures of the i-th preset detection point at different simulated ambient temperatures can more easily reach the desired temperature of the pipeline. Therefore, when is larger, it often indicates that the temperature control adjustment of the i-th preset detection point at different simulated ambient temperatures is relatively more consistent, and it often indicates that the temperature control adjustment of the electric tracing band when the ambient temperature at the i-th preset detection point changes is relatively more consistent.

[0044] Fourthly, according to the temperature control adjustment consistency corresponding to the above marked detection points and the start-up delay duration of the above marked detection points at all simulated ambient temperatures, determine the temperature control effect consistency corresponding to the above marked detection points.

[0045] Among them, the temperature control adjustment consistency can have a positive correlation with the temperature control effect consistency. The start-up delay duration can have a negative correlation with the temperature control effect consistency.

[0046] For example, the formula for determining the temperature control effect consistency corresponding to the preset detection point can be: ; Among them, is the temperature control effect consistency corresponding to the i-th preset detection point. i is the serial number of the preset detection point. is the temperature control adjustment consistency corresponding to the i-th preset detection point. is the average value of the start-up delay duration of the i-th preset detection point at all simulated ambient temperatures.

[0047] It should be noted that when is larger, it often indicates that the temperature control adjustment of the i-th preset detection point at different simulated ambient temperatures is relatively more consistent. When is smaller, it often indicates that the start-up delay duration of the i-th preset detection point at different simulated ambient temperatures is smaller, and it often indicates that the change in the ambient temperature at the i-th preset detection point probably does not cause a sharp increase in the response time of the electric tracing band. Therefore, when The larger it is, it often indicates that the temperature control effect of the $i$-th preset detection point under different simulated environmental temperatures is better, and it often indicates that the temperature control effect of the electric tracing belt on the $i$-th preset detection point is better.

[0048] Step S3: Cluster all preset detection points according to the positions and temperature control effect consistencies of different preset detection points, and select a target cluster from the obtained clusters.

[0049] As an example, this step may include the following steps: The first step: Cluster all preset detection points according to the positions and temperature control effect consistencies of different preset detection points.

[0050] For example, the coordinates representing the position of the preset detection point and the temperature control effect consistency corresponding to the preset detection point can be used to form a feature vector corresponding to the preset detection point, and all preset detection points can be clustered based on the feature vectors corresponding to all preset detection points to obtain multiple clusters. Among them, the feature vectors corresponding to the preset detection points in a cluster are often relatively similar.

[0051] The second step: Determine the number representative factor corresponding to each cluster as the number of preset detection points in each cluster.

[0052] The third step: Select the cluster with the largest corresponding number representative factor from all clusters as the first temporary cluster.

[0053] The fourth step: Determine the temperature control effect representative factor corresponding to each cluster as the mean value of the temperature control effect consistencies corresponding to all preset detection points in each cluster.

[0054] The fifth step: Select the cluster with the largest corresponding temperature control effect representative factor from all clusters as the second temporary cluster.

[0055] The sixth step: Determine each cluster among all clusters except the first temporary cluster and the second temporary cluster as the target cluster.

[0056] Step S4: Determine the detection point distribution influence value according to the number of preset detection points in all target clusters and the temperature control effect consistencies corresponding to different preset detection points.

[0057] It should be noted that if the start-up delay time of some preset detection points of the electric tracing belt is long, or the temperature difference value is large, it may affect the quality and stability of the entire electric tracing belt; especially if these defective detection points are concentrated in a certain area, it may cause local overheating or overcooling, thereby affecting the overall performance; therefore, it is necessary to quantify the influence of the distribution of the quality of preset detection points on the overall electric tracing belt, that is, to obtain the detection point distribution influence value of the electric tracing belt.

[0058] As an example, this step may include the following steps: In the first step, according to the number of preset detection points in each target cluster and the consistency of temperature control effects corresponding to all preset detection points in each target cluster, determine the local influence factor corresponding to each target cluster.

[0059] In the second step, according to the number of target clusters and the local influence factors corresponding to all target clusters, determine the influence value of the detection point distribution.

[0060] For example, the formula for determining the influence value of the detection point distribution may be: ; where Q is the influence value of the detection point distribution. N is the number of target clusters. a is the serial number of the target cluster. is the number of preset detection points in the a-th target cluster. is the average value of the consistency of temperature control effects corresponding to all preset detection points in the a-th target cluster. is a factor greater than 0 set in advance, mainly used to prevent the denominator from being 0. For example, can be 0.001. is the local influence factor corresponding to the a-th target cluster.

[0061] It should be noted that in actual situations, the more the number of clustering cluster types, the worse the overall temperature control effect consistency of the electric tracing belt is often indicated; if there are multiple clustering clusters and only a single detection point exists in each clustering cluster, that is, the number of existing detection points is small, then the detection points at adjacent positions can be shared, so that the entire electric tracing belt reaches the desired temperature, that is, the electric tracing belt is less affected by the influence value of the detection point distribution; however, if there are multiple detection points in a certain clustering cluster and the consistency of the temperature control effects of these detection points is low, then it will greatly affect the overall temperature control and may cause the entire electric tracing belt to not reach the desired temperature, indicating that the electric tracing belt is more affected by the influence value of the detection point distribution at this time. Therefore, Q can represent the influence value of the detection point distribution, and the larger its value, the worse the temperature control quality performance of the electric tracing belt often is.

[0062] Step S5, according to the influence value of the detection point distribution and the difference between the target temperatures corresponding to different preset detection points, determine the temperature control quality performance value.

[0063] As an example, this step may include the following steps: In the first step, according to the difference between the target temperatures of all preset detection points at the same simulated environmental temperature, determine the adjacent detection temperature difference index at each simulated environmental temperature.

[0064] For example, the formula for determining the adjacent detection temperature difference index at the simulated environmental temperature may be: ; Among them, is the adjacent detection temperature difference index at the j-th simulated ambient temperature. j is the serial number of the simulated ambient temperature. I is the number of preset detection points. i is the serial number of the preset detection point. is the absolute value function. is the target temperature of the i-th preset detection point at the j-th simulated ambient temperature. is the target temperature of the (i + 1)-th preset detection point at the j-th simulated ambient temperature.

[0065] It should be noted that in actual situations, the more consistent the temperature data of different detection point positions of the electric heat tracing belt at the moment when its power reaches stability under different external environments, the higher the temperature distribution uniformity is often indicated, and the better the quality of the electric heat tracing belt. When is smaller, it often indicates that the difference in target temperatures of different preset detection points at the j-th simulated ambient temperature is smaller, often indicating higher temperature distribution uniformity, and often indicating better quality of the electric heat tracing belt.

[0066] Second step, determine the temperature control quality performance value according to the adjacent detection temperature difference indexes under all simulated ambient temperatures and the above-mentioned influence value of the detection point distribution.

[0067] Among them, both the adjacent detection temperature difference index and the influence value of the detection point distribution can have a negative correlation with the temperature control quality performance value.

[0068] For example, the formula corresponding to determining the temperature control quality performance value can be: ; Among them, E is the temperature control quality performance value. is the natural exponential function. wz is the mean value of the adjacent detection temperature difference indexes under all simulated ambient temperatures. Q is the influence value of the detection point distribution.

[0069] It should be noted that Q can represent the influence value of the detection point distribution. When its value is larger, it often indicates that the temperature control quality performance of the electric heat tracing belt is worse. When wz is smaller, it often indicates that the difference in target temperatures of different preset detection points at the same simulated ambient temperature is smaller, often indicating higher temperature distribution uniformity, often indicating that the degree to which the temperature control effect of the electric heat tracing belt is affected by itself is smaller, and often indicating better quality of the electric heat tracing belt. Therefore, when E is larger, it often indicates better quality of the electric heat tracing belt.

[0070] Step S6, determine the overall temperature control effect according to the temperature control quality performance value, as well as the distribution of all start-up delay durations and all target temperatures.

[0071] As an example, this step may include the following steps: The first step, screening out the reference ambient temperature corresponding to each preset detection point from all simulated ambient temperatures may include the following sub-steps: The first sub-step, according to the positions of the preset detection points, sort all the preset detection points on the target pipeline in the order from left to right of the target pipeline to obtain a preset detection point sequence.

[0072] The second sub-step, equally divide the preset detection point sequence, and record each sub-sequence obtained by the equal division as a preset detection point sub-sequence.

[0073] Among them, the number of preset detection point sub-sequences may be equal to the number of reference ambient temperatures.

[0074] The third sub-step, arrange all the simulated ambient temperatures in ascending order to obtain a simulated ambient temperature sequence.

[0075] The fourth sub-step, determine any one of the preset detection point sub-sequences as a marked sub-sequence, screen out the simulated ambient temperatures with the same serial numbers as the marked sub-sequence from the simulated ambient temperature sequence as temporary temperatures, and determine the reference ambient temperatures corresponding to all the preset detection points in the marked sub-sequence as temporary temperatures.

[0076] It should be noted that the reference ambient temperature corresponding to the latter preset detection point needs to be greater than or equal to the reference ambient temperature corresponding to the previous preset detection point, mainly to simulate a gradually changing temperature environment. Therefore, the number of elements in different preset detection point sub-sequences may be the same or different.

[0077] The second step, determine the start delay duration of each preset detection point at its corresponding reference ambient temperature as the delay representative duration corresponding to each preset detection point.

[0078] The third step, determine the target temperature of each preset detection point at its corresponding reference ambient temperature as the temperature representative index corresponding to each preset detection point.

[0079] The fourth step, determine the overall temperature control effect according to the variance of the delay representative durations corresponding to all the preset detection points, the variance of the temperature representative indexes corresponding to all the preset detection points, and the above temperature control quality performance value.

[0080] For example, the formula corresponding to determining the overall temperature control effect may be: ; Among them, Y is the overall temperature control effect. is a normalization function. is a natural exponential function. is the variance of the delay representative durations corresponding to all the preset detection points. It is the variance of the temperature representative indicators corresponding to all preset detection points. E is the temperature control quality performance value.

[0081] It should be noted that in actual situations, the more consistent the response times of different detection point positions of the electric tracing band in a gradual change environment, the better the temperature control effect of the electric tracing band. Therefore, when is smaller, it often indicates that the temperature control effect of the electric tracing band is better. In actual situations, the more consistent the temperature data of different detection point positions of the electric tracing band at the moment when its power reaches stability in a gradual change environment, the better the temperature control effect of the electric tracing band. Therefore, when is smaller, it often indicates that the temperature control effect of the electric tracing band is better. When E is larger, it often indicates that the quality of the electric tracing band is better. Therefore, when Y is larger, it often indicates that the quality of the electric tracing band is better.

[0082] Step S7, perform detection on the electric tracing band to be detected according to the overall temperature control effect.

[0083] As an example, this step may include the following steps: The first step, if the above overall temperature control effect is greater than the preset effect threshold, it is determined that the quality of the above electric tracing band to be detected is qualified.

[0084] Among them, the preset effect threshold can be a threshold set in advance, and it can be 0.85.

[0085] The second step, if the above overall temperature control effect is less than or equal to the preset effect threshold, it is determined that the quality of the above electric tracing band to be detected is unqualified. At this time, it is often necessary to perform maintenance on the preset detection points in the target cluster.

[0086] Based on the same inventive concept as the above method embodiment, the present invention provides a self-regulating electric tracing band detection device, including a processor and a memory. The processor is used to process instructions stored in the memory to implement any one of the self-regulating electric tracing band detection methods introduced above.

[0087] Reference Figure 2 , based on the same inventive concept as the above method embodiment, the present invention provides a self-regulating electric tracing band detection system. The system includes a memory, a processor, and a computer program stored on the memory and executable on the processor. When the above computer program is executed by the processor, it implements the steps of a self-regulating electric tracing band detection method, which may specifically include: A data acquisition module 201, configured to acquire the power change curve, start-up delay duration, and target temperature at power stability of different preset detection points on the target pipeline to which the electric tracing band to be detected belongs under different simulated environmental temperatures, as well as the pipeline desired temperature; The temperature control effect consistency determination module 202 is configured to determine the temperature control effect consistency corresponding to each preset detection point based on the power change curve and start-up delay duration of each preset detection point at different simulated environmental temperatures, and the difference between the target temperature and the expected temperature of the pipeline. The clustering and screening module 203 is configured to cluster all preset detection points according to the positions and temperature control effect consistencies of different preset detection points, and screen out the target clusters from the obtained clusters. The detection point distribution influence value determination module 204 is configured to determine the detection point distribution influence value according to the number of preset detection points in all target clusters and the temperature control effect consistencies corresponding to different preset detection points. The temperature control quality performance value determination module 205 is configured to determine the temperature control quality performance value according to the detection point distribution influence value and the difference between the target temperatures corresponding to different preset detection points. The overall temperature control effect determination module 206 is configured to determine the overall temperature control effect according to the temperature control quality performance value, and the distributions of all start-up delay durations and all target temperatures. The electric heat tracing belt detection module 207 is configured to detect the to-be-detected electric heat tracing belt according to the overall temperature control effect.

[0088] Figure 3 It is a schematic structural diagram of a computer device provided by an embodiment of the present invention. Exemplarily, as Figure 3 shown, the computer device 300 includes: a memory 301, a processor 302, and a computer program 303 stored in the memory 301 and running on the processor 302. When the processor 302 executes the computer program 303, the computer device can execute any one of the self-regulating electric heat tracing belt detection methods introduced above.

[0089] Based on the same inventive concept as the above method embodiment, the present invention provides a server, including a memory and a processor. The memory is used to store executable program codes, and the processor is used to call and run the executable program codes from the memory, so that the device executes any one of the above self-regulating electric heat tracing belt detection methods.

[0090] Based on the same inventive concept as the above method embodiment, the present invention provides a computer program product, which includes: computer program codes. When the computer program codes run on a computer, the computer executes any one of the above self-regulating electric heat tracing belt detection methods.

[0091] Based on the same inventive concept as the above method embodiments, the present invention provides a computer-readable storage medium storing computer program code, which, when running on a computer, causes the computer to execute any of the above self-regulating electric tracing cable detection methods.

[0092] In summary, when detecting the electric tracing cable, the present invention realizes the simulation of multiple environments through multiple simulated ambient temperatures, comprehensively considers the power change curves and start-up delay durations of different preset detection points under different simulated ambient temperatures, and the difference between the target temperature and the expected temperature of the pipeline, thereby quantifying the consistency of the temperature control effects corresponding to different preset detection points, and quantifying the consistency of the temperature control effects, the influence value of the detection point distribution, and the temperature control quality performance value corresponding to different preset detection points, realizing the detection of the electric tracing cable, and further improving the accuracy of the electric tracing cable detection.

[0093] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A self-regulating electric tracing band detection method, characterized in that Including the following steps: Obtain the power change curves, start-up delay durations, and target temperatures at different preset detection points on the target pipeline to which the electric tracing tape to be detected belongs under different simulated ambient temperatures, as well as the desired pipeline temperature; Based on the power change curves and start-up delay durations of each preset detection point under different simulated ambient temperatures, and the difference between the target temperature and the desired pipeline temperature, determine the consistency of the temperature control effect corresponding to each preset detection point; Cluster all the preset detection points according to the positions of different preset detection points and the consistency of the temperature control effect, and select the target clusters from the obtained clusters; Determine the influence value of the detection point distribution according to the number of preset detection points in all the target clusters and the consistency of the temperature control effect corresponding to different preset detection points; Determine the temperature control quality performance value according to the influence value of the detection point distribution and the difference between the target temperatures corresponding to different preset detection points; Determine the overall temperature control effect according to the temperature control quality performance value, as well as the distribution of all the start-up delay durations and all the target temperatures; Detect the electric tracing tape to be detected according to the overall temperature control effect.

2. The self-regulating electric tracing band detection method according to claim 1, wherein The obtaining of the power change curves, start-up delay durations, and target temperatures at different preset detection points on the target pipeline to which the electric tracing tape to be detected belongs under different simulated ambient temperatures includes: Determine any one preset detection point as the marked detection point, and determine any one simulated ambient temperature as the marked ambient temperature; When the ambient temperature at the marked detection point is the marked ambient temperature, start the electric tracing tape to be detected, and during the start-up process of the electric tracing tape to be detected, collect the power of the electric tracing tape to be detected to form the power change curve of the marked detection point at the marked ambient temperature, and determine the start-up moment of the marked detection point at the marked ambient temperature as the start-up moment; Determine the temperature at the marked detection point collected at the acquisition moment of the first power corresponding to the mode of all the powers in the power change curve as the target temperature of the marked detection point at the marked ambient temperature; Determine the moment corresponding to the first non-zero power in the power change curve as the start moment of the marked detection point at the marked ambient temperature; Determine the duration between the start-up moment and the start moment of the marked detection point at the marked ambient temperature as the start-up delay duration of the marked detection point at the marked ambient temperature.

3. The self-regulating electric tracing band detection method according to claim 1, wherein The determining of the consistency of the temperature control effect corresponding to each preset detection point based on the power change curves and start-up delay durations of each preset detection point under different simulated ambient temperatures, and the difference between the target temperature and the desired pipeline temperature includes: Determine any one preset detection point as the marked detection point, and determine the average value of the slopes of all the data points in the power change curve of the marked detection point at each simulated ambient temperature as the power change rate of the marked detection point at each simulated ambient temperature; Determine the adjustment speed difference factor corresponding to the marked detection point according to the difference between the power change rates of the marked detection point at different simulated environmental temperatures; Determine the temperature control adjustment consistency corresponding to the marked detection point according to the adjustment speed difference factor corresponding to the marked detection point and the difference between the target temperature and the pipeline desired temperature; Determine the temperature control effect consistency corresponding to the marked detection point according to the temperature control adjustment consistency corresponding to the marked detection point and the start-up delay duration of the marked detection point at all simulated environmental temperatures, wherein the temperature control adjustment consistency is positively correlated with the temperature control effect consistency, and the start-up delay duration is negatively correlated with the temperature control effect consistency.

4. A self-regulating electric tracing cable detection method according to claim 3, characterized in that The determining the temperature control adjustment consistency corresponding to the marked detection point according to the adjustment speed difference factor corresponding to the marked detection point and the difference between the target temperature and the pipeline desired temperature includes: Determine the absolute value of the difference between the target temperature and the pipeline desired temperature of the marked detection point at each simulated environmental temperature as the temperature difference value of the marked detection point at each simulated environmental temperature; Determine the temperature control adjustment consistency corresponding to the marked detection point according to the temperature difference values of the marked detection point at all simulated environmental temperatures and the adjustment speed difference factor corresponding to the marked detection point, wherein both the temperature difference value and the adjustment speed difference factor are negatively correlated with the temperature control adjustment consistency.

5. A self-regulating electric heat tracing belt detection method according to claim 1, characterized in that, The determining the detection point distribution influence value according to the number of preset detection points in all target clusters and the temperature control effect consistency corresponding to different preset detection points includes: Determine the local influence factor corresponding to each target cluster according to the number of preset detection points in each target cluster and the temperature control effect consistency corresponding to all preset detection points in each target cluster; Determine the detection point distribution influence value according to the number of target clusters and the local influence factors corresponding to all target clusters.

6. The self-regulating electric tracing band detection method according to claim 1, wherein The determining the temperature control quality performance value according to the detection point distribution influence value and the difference between the target temperatures corresponding to different preset detection points includes: Determine the adjacent detection temperature difference index at each simulated environmental temperature according to the difference between the target temperatures of all preset detection points at the same simulated environmental temperature; Determine the temperature control quality performance value according to the adjacent detection temperature difference indexes at all simulated environmental temperatures and the detection point distribution influence value, wherein both the adjacent detection temperature difference index and the detection point distribution influence value are negatively correlated with the temperature control quality performance value.

7. A self-regulating electric tracing band detection method according to claim 1, characterized in that, The determining the overall temperature control effect according to the temperature control quality performance value, as well as the distribution of all start-up delay durations and all target temperatures, includes: Screen out the reference environmental temperature corresponding to each preset detection point from all simulated environmental temperatures; Determine the start-up delay duration of each preset detection point at its corresponding reference environmental temperature as the delay representative duration corresponding to each preset detection point; Determine the target temperature of each preset detection point at its corresponding reference environmental temperature as the temperature representative index corresponding to each preset detection point; Determine the overall temperature control effect according to the variance of the representative delay durations corresponding to all preset detection points, the variance of the representative temperature indexes corresponding to all preset detection points, and the temperature control quality performance value.

8. A self-regulating electric tracing band detection method according to claim 1, characterized in that, The detection of the electric heat tracing tape to be detected according to the overall temperature control effect includes: If the overall temperature control effect is greater than the preset effect threshold, it is determined that the quality of the electric heat tracing tape to be detected is qualified; If the overall temperature control effect is less than or equal to the preset effect threshold, it is determined that the quality of the electric heat tracing tape to be detected is unqualified.

9. A self-regulating electric tracing band detection device, characterized in that It includes a processor and a memory, and the processor is used to process the instructions stored in the memory to implement a self-regulating electric heat tracing tape detection method according to any one of claims 1-8.

10. A self-regulating electric heat tracing belt detection system, characterized in that, It includes: A data acquisition module, configured to acquire the power change curve, start-up delay duration, and target temperature when the power is stable, as well as the pipeline expected temperature at different preset detection points on the target pipeline to which the electric heat tracing tape to be detected belongs under different simulated ambient temperatures; A temperature control effect consistency determination module, configured to determine the temperature control effect consistency corresponding to each preset detection point based on the power change curve and start-up delay duration of each preset detection point under different simulated ambient temperatures, and the difference between the target temperature and the pipeline expected temperature; A clustering and screening module, configured to cluster all preset detection points according to the positions and temperature control effect consistencies of different preset detection points, and screen out the target clusters from the obtained clusters; A detection point distribution influence value determination module, configured to determine the detection point distribution influence value according to the number of preset detection points in all target clusters and the temperature control effect consistencies corresponding to different preset detection points; A temperature control quality performance value determination module, configured to determine the temperature control quality performance value according to the detection point distribution influence value and the difference between the target temperatures corresponding to different preset detection points; An overall temperature control effect determination module, configured to determine the overall temperature control effect according to the temperature control quality performance value and the distributions of all start-up delay durations and all target temperatures; An electric heat tracing tape detection module, configured to detect the electric heat tracing tape to be detected according to the overall temperature control effect.

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