Real-time monitoring method for power construction quality based on the Internet of Things

By using IoT technology to monitor the temperature and humidity data of cable ends in real time, and combining this with the partial discharge spectrum characteristics, the comparability and parameter deviation of cable ends with those of comparison ends are analyzed, and crimping faults are identified. This solves the problem of accuracy in monitoring the quality of cable end crimping, and improves the safety and reliability of power construction.

CN121027657BActive Publication Date: 2026-03-10BEIJING CHINA POWER CONSTR TECH DEV CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-08-25
Publication Date
2026-03-10

AI Technical Summary

Technical Problem

Existing methods for monitoring the crimping quality of cable ends in power construction are susceptible to external interference, resulting in a high rate of misjudgment and insufficient safety and reliability of cable line operation.

Method used

By using IoT technology to monitor the temperature and humidity data of cable ends in real time, and combining this with the partial discharge spectrum characteristics, the comparability and parameter deviation of the cable ends with those of the comparison ends can be analyzed to identify crimping faults.

Benefits of technology

This improved the accuracy of cable end quality monitoring, reduced the failure rate during power construction, and ensured the safety and reliability of the power system.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

This invention relates to the field of cable end health management technology, specifically to a real-time monitoring method for power construction quality based on the Internet of Things (IoT). The method includes: obtaining a discharge concern interval and a humidity rise interval based on changes in humidity data in the humidity sequence of the cable end's crimping point; obtaining the degree of humidity-rising discharge at the cable end in each discharge concern interval based on changes in the discharge degree within the discharge concern interval; obtaining the humidity rate discharge degree of the cable end based on the humidity-rising discharge degree; obtaining the humidity threshold discharge degree of the cable end based on changes in the discharge degree within the humidity rise interval; obtaining the crimping fault degree of the cable end based on the humidity threshold discharge degree and the humidity rate discharge degree; and performing fault monitoring of the cable end quality in power construction quality monitoring based on the degree of crimping fault. This invention improves the accuracy of cable end quality monitoring in power construction quality monitoring.
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Description

Technical Field

[0001] This invention relates to the field of cable end health management technology, specifically to a method for real-time monitoring of power construction quality based on the Internet of Things. Background Technology

[0002] In power construction, the quality of cable end crimping directly affects the conductivity and operational safety of the line. Poor crimping can easily lead to increased contact resistance, localized overheating, and insulation breakdown, potentially causing fires or power outages in severe cases. Due to the complex construction site environment and variations in manual operation, crimping quality is highly uncertain. Therefore, a monitoring method is needed to detect and judge the crimping quality in real time during the later stages of construction to ensure project quality, reduce later operational failure rates, and improve the overall reliability and safety of the power system. Currently, in power construction, cable end crimping quality is mainly confirmed visually by observing the end shape or by the mechanical closure of the crimping tool. Some construction units have introduced infrared thermography or periodic partial discharge detection, but these methods are susceptible to external interference and have a high rate of misjudgment, resulting in low accuracy in cable end quality monitoring during power construction. Summary of the Invention

[0003] To address the above problems, this invention provides a method for real-time monitoring of power construction quality based on the Internet of Things (IoT), the method comprising:

[0004] Obtain several dimensional parameter sequences of the cable end, the crimping point temperature sequence, and the crimping point humidity sequence;

[0005] By comparing and analyzing the temperature and humidity data of the cable end with other cable ends, the comparability of the cable end with each other at each time point is obtained; by comparing and analyzing the differences and comparability of each dimension parameter between the cable end and other cable ends, the relative deviation of each dimension parameter of the cable end at each time point is obtained; based on the relative deviation, the discharge level of the cable end at each time point is obtained.

[0006] Based on the changes in humidity data in the humidity sequence of the cable end crimping point, the discharge interest interval and humidity rise interval are obtained; based on the changes in discharge degree in the discharge interest interval, the humidity rise discharge degree of the cable end in each discharge interest interval is obtained; based on the humidity rise discharge degree, the humidity rate discharge degree of the cable end is obtained; based on the changes in discharge degree in the humidity rise interval, the humidity threshold discharge degree of the cable end is obtained; based on the humidity threshold discharge degree and the humidity rate discharge degree, the crimping fault degree of the cable end is obtained.

[0007] Based on the degree of crimping failure, fault monitoring is carried out on the end quality in power construction quality monitoring.

[0008] Preferably, the method for obtaining the comparability of the cable end with each other at each time point by comparing and analyzing the temperature and humidity data between the cable end and other cable ends includes:

[0009] All cable ends other than the cable end itself are used as comparison cable ends;

[0010] Connect the cable end to the first The first comparison cable end is in the The absolute value of the difference between the temperature data at time point 1 is denoted as the temperature difference value; the cable end is connected to the 1st time point... The first comparison cable end is in the The absolute value of the difference between the humidity data at each time point is denoted as the humidity difference value; the inverse proportional normalized value between the maximum value of the temperature difference value and the humidity difference value is used as the value between the cable end and the first... The first comparison cable end is in the Comparability at any given moment.

[0011] Preferably, the method for obtaining the relative deviation of each dimension parameter of the cable end at each time moment by comparing and analyzing the differences and comparability of each dimension parameter between the cable end and other cable ends includes:

[0012] Connect the cable end to the first The first comparison cable end is in the The first moment at the moment The absolute value of the difference between the parameters of the first dimension is denoted as the first. The first comparison cable end The type of dimensional parameter in the first The deviation value at time point ; connect the cable end to the _. The first comparison cable end is in the Comparability at time point 1 and time 2 The first comparison cable end The type of dimensional parameter in the first The product of the deviation values ​​at time t is denoted as the product of the deviation values ​​at time t. The first comparison cable end The type of dimensional parameter in the first Deviation factor at time point; compare the first moment of all cable ends. The type of dimensional parameter in the first The sum of deviation factors at each moment is used as the first value of the cable end. The type of dimensional parameter in the first The degree of relative deviation at each moment.

[0013] Preferably, the specific method for obtaining the discharge level of the cable end at each moment based on the relative deviation is as follows:

[0014] The various dimensional parameters include the amplitude of the main peak, the repetition rate, and the frequency of the main peak;

[0015] The repetition rate of the cable ends is in the first... The relative deviation at time point and the main peak amplitude of the cable end at time point The average of the relative deviations at each time point is denoted as the characteristic mean; the peak frequency of the cable end is denoted as the value at the th time point. The product of the relative deviation at time t and the characteristic mean is denoted as the discharge characteristic value; the main peak frequency of the cable end is denoted as the value at time t. The normalized value of the sum of the relative deviation and the discharge characteristic value at time n is used as the cable end at time n. The degree of discharge at each moment.

[0016] Preferably, the method for obtaining the discharge interest interval and humidity rise interval based on the change in humidity data in the humidity sequence of the cable end crimping point includes:

[0017] Preset a slope threshold parameter For any moment in the humidity sequence of the crimping point at the cable end;

[0018] If the first-order difference and second-order difference values ​​of the humidity data at any given moment are both greater than the slope threshold parameter Any one of the aforementioned moments shall be designated as the first target moment; in the humidity sequence of the crimping point at the cable end, each interval consisting of all consecutive adjacent first target moments shall be designated as the discharge interest interval.

[0019] If the first difference value of the humidity data at any given time is greater than the slope threshold parameter Any one of the aforementioned moments is designated as the second target moment; in the humidity sequence of the crimping point at the cable end, each interval consisting of all consecutive adjacent second target moments is designated as the humidity rise interval.

[0020] Preferably, the specific method for obtaining the degree of discharge due to humidity increase at the cable end in each discharge interest interval based on the change in discharge degree within the discharge interest interval is as follows:

[0021] In the In the discharge concern interval, the cable end will be in the first... The normalized value of the maximum discharge level at all times prior to time i is denoted as the i-th time. The maximum discharge level at the moment; the moment The maximum discharge level at time and the cable end at time . The product of the discharge levels at time i is denoted as the i-th time. The humidity increases the discharge factor at a certain moment; the cable end is at the first... The sum of the humidity rise discharge factors at all times within each discharge interest interval is denoted as the discharge factor at the cable end at the [number]th [time period]. The degree of discharge is affected by increased humidity within the discharge focus area.

[0022] Preferably, the method for obtaining the degree of humidity rate discharge at the cable end based on the degree of discharge due to increased humidity includes:

[0023] The first cable end The normalized value of the maximum first-order difference of humidity data at all times within the discharge interest interval and the cable end at the ___ The product of the degree of discharge due to increased humidity in each discharge interest region is denoted as the i-th The humidity rate discharge factor of each discharge interest interval; the normalized value of the sum of the humidity rate discharge factors of all discharge interest intervals at the cable end is taken as the humidity rate discharge degree of the cable end.

[0024] Preferably, the method for obtaining the humidity threshold discharge level of the cable end based on the change in discharge level during the humidity rise range includes:

[0025] Preset a window parameter At the cable end In the humidity increase range, the first one is... Centered on a given moment, construct a window with a length of [value]. The time window is denoted as the first. The trend judgment window at the [number] moment; the cable end at the [number]th [time]... The variance of the discharge level at all times within the trend judgment window at time i is denoted as the i-th time. The degree of discharge stability at each moment;

[0026] The cable end is at the The trend judgment window at the moment of the moment. The discharge level at time 1 and the discharge level at time 2 The absolute value of the difference between the discharge levels at time n is denoted as the nth time n. The discharge difference at time n; the discharge difference at time n. The absolute value of the difference between the discharge stability at the last moment and the discharge stability at the first moment in the trend judgment window is denoted as the nth moment. The discharge stability difference at time t; the first time... The discharge stability difference at time t and the t The normalized value of the ratio between the cumulative sums of discharge differences at all times within the trend judgment window at time n is used as the first value. The degree of stability enhancement at each moment; the cable end at the first moment. The discharge level at time 1 and the discharge level at time 2 The product of the stability enhancement at time t is used as the product of the stability enhancement at time t. Humidity threshold index at any given moment;

[0027] Based on the humidity threshold index, the distinguishability confidence of each humidity rise interval of the cable end is obtained; the maximum value of the distinguishability confidence of all humidity rise intervals of the cable end is taken as the humidity threshold discharge degree of the cable end.

[0028] Preferably, the specific method for obtaining the distinguishability of each humidity rise interval at the cable end based on the humidity threshold index includes:

[0029] At the cable end In the humidity increase range, the first The average of the humidity threshold index at all times up to the nth time point is denoted as the first mean; the average of the humidity threshold index at the nth time point is denoted as the second mean. The average of the humidity threshold index at all times after the first time point is denoted as the second average; the difference between the second average and the first average is denoted as the third average. The distinguishing index at the moment; the first time the cable end is... The time corresponding to the maximum value of the distinguishing index in each humidity increase interval is denoted as the nth interval. The time points for distinguishing the humidity increase intervals; the first The normalized value of the discrimination index for distinguishing the time intervals of humidity rise is used as the first value of the discrimination index for the cable end. The reliability of distinguishing between different humidity increase ranges.

[0030] Preferably, the method for obtaining the degree of crimping fault at the cable end based on the humidity threshold discharge degree and the humidity rate discharge degree includes:

[0031] The maximum value of the humidity threshold discharge level and the humidity rate discharge level at the cable end is taken as the degree of crimping fault at the cable end.

[0032] The beneficial effects of the technical solution of this invention are as follows: This invention obtains the discharge interest interval and the humidity rise interval based on the change of humidity data in the humidity sequence of the cable end crimping point; it obtains the humidity rise discharge degree of the cable end in each discharge interest interval based on the change of discharge degree in the discharge interest interval; it obtains the humidity rate discharge degree of the cable end based on the humidity rise discharge degree; it obtains the humidity threshold discharge degree of the cable end based on the change of discharge degree in the humidity rise interval; it obtains the crimping fault degree of the cable end based on the humidity threshold discharge degree and the humidity rate discharge degree; and it performs fault monitoring of the end quality in power construction quality monitoring based on the crimping fault degree, thereby improving the accuracy of cable end quality monitoring in power construction quality monitoring. Attached Figure Description

[0033] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0034] Figure 1 This is a flowchart illustrating the steps of the Internet of Things-based real-time monitoring method for power construction quality according to the present invention.

[0035] Figure 2 This is a flowchart illustrating the characteristic relationships of the Internet of Things-based real-time monitoring method for power construction quality according to the present invention. Detailed Implementation

[0036] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of the Internet of Things-based real-time monitoring method for power construction quality proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0037] Unless otherwise defined, 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 pertains.

[0038] The specific solution of the Internet of Things-based real-time monitoring method for power construction quality provided by the present invention will be described in detail below with reference to the accompanying drawings.

[0039] Please see Figure 1The diagram illustrates a flowchart of a method for real-time monitoring of power construction quality based on the Internet of Things, according to an embodiment of the present invention. The method includes the following steps:

[0040] Step S001: Obtain several dimensional parameter sequences, crimping point temperature sequence, and crimping point humidity sequence of the cable end.

[0041] Specifically, it is first necessary to collect several dimensional parameter sequences of the cable end, the crimping point temperature sequence, and the crimping point humidity sequence. The specific process is as follows:

[0042] For any comparison cable end;

[0043] During the pre-testing and commissioning phase of power construction, an electric field-type partial discharge sensor is installed near the crimping point of the cable end. The sensor collects data at a frequency of 50kHz, including the main peak frequency, repetition rate, and main peak amplitude of the cable end at each moment, thereby obtaining a sequence of several dimensional parameters of the cable end.

[0044] A surface-mount thermistor is directly attached near the metal crimping point of the cable end, and the temperature data of the crimping point of the cable end is collected every second to obtain the temperature sequence of the crimping point of the cable end.

[0045] Two digital humidity sensors are installed near the cable end, and the average humidity value of the two digital humidity sensors is collected every second as a time interval. This average value is used as the humidity data of the crimping point of the cable end at each time interval, thereby obtaining the humidity sequence of the crimping point of the cable end.

[0046] For the various dimensional parameter sequences, crimping point temperature sequence, and crimping point humidity sequence of the cable end mentioned above, the Z-Score normalization algorithm is used to normalize each sequence; the Z-Score normalization algorithm is existing technology and will not be described in detail here.

[0047] Thus, the above methods have yielded several dimensional parameter sequences, crimping point temperature sequences, and crimping point humidity sequences for the cable ends.

[0048] Step S002: By comparing and analyzing the temperature and humidity data between the cable end and other cable ends, obtain the comparability of the cable end with each other at each time step; by comparing and analyzing the differences and comparability of each dimension parameter between the cable end and other cable ends, obtain the relative deviation of each dimension parameter of the cable end at each time step; based on the relative deviation, obtain the discharge level of the cable end at each time step.

[0049] It should be noted that during power construction, the crimped area of ​​the cable end may become slightly loose due to crimping rebound, metal slippage, or unreleased internal insulation tension, thus forming a local air gap and inducing surface discharge. When a local air gap is formed, it will cause the partial discharge spectrum to exhibit periodic drift in frequency distribution and repeatability. Therefore, by comparing and analyzing the partial discharge spectrum characteristics of each comparison cable end with other cable ends, it is possible to identify whether there are gaps caused by minute mechanical displacement or rebound in the internal structure after crimping.

[0050] This embodiment is illustrated using any one of the comparison cable ends as an example;

[0051] Preferably, in some implementations of the present invention, since it is necessary to compare each comparison cable end with other ends, it is necessary to ensure that the ambient temperature and humidity between the comparison cable ends are similar and comparable; otherwise, interference factors not related to crimping quality may be introduced, leading to misjudgment. Therefore, the specific method for obtaining the comparability of a cable end with each other at each time point by comparing and analyzing the temperature and humidity data between the cable end and other cable ends is as follows:

[0052] All cable ends other than the cable end itself are used as comparison cable ends;

[0053] Connect the cable end to the first The first comparison cable end is in the The absolute value of the difference between the temperature data at time point 1 is denoted as the temperature difference value; the cable end is connected to the 1st time point... The first comparison cable end is in the The absolute value of the difference between the humidity data at each time point is denoted as the humidity difference value; the inverse proportional normalized value between the maximum value of the temperature difference value and the humidity difference value is used as the value between the cable end and the first... The first comparison cable end is in the Comparability at any given moment;

[0054] The specific formula is as follows:

[0055]

[0056] In the formula, Indicates the cable end and the first The first comparison cable end is in the Comparability at any given moment; Indicates the cable end at the 1st Temperature data at each time point; Indicates the first The first comparison cable end is in the Temperature data at each time point; Indicates the cable end at the 1st Humidity data at a given time; Indicates the first The first comparison cable end is in the Humidity data at a given time; Indicates taking the absolute value; This represents the function that takes the maximum value. This represents an exponential function with the natural constant as the base. The example uses... The model is used to represent the inverse proportional relationship and for normalization processing. As input to the model, implementers can choose between an inverse proportional function and a normalization function based on the actual situation.

[0057] in, The smaller the value, the better the connection between the cable end and the first... The temperature and humidity environments of the cable ends being compared are similar, so the comparability is higher when comparing parameters.

[0058] Preferably, in some implementations of the present invention, the specific method for obtaining the relative deviation of each dimension parameter of the cable end at each time moment by comparing and analyzing the differences of each dimension parameter between the cable end and other cable ends is as follows:

[0059] Connect the cable end to the first The first comparison cable end is in the The first moment at the moment The absolute value of the difference between the parameters of the first dimension is denoted as the first. The first comparison cable end The type of dimensional parameter in the first The deviation value at time point ; connect the cable end to the _. The first comparison cable end is in the Comparability at time point 1 and time 2 The first comparison cable end The type of dimensional parameter in the first The product of the deviation values ​​at time t is denoted as the product of the deviation values ​​at time t. The first comparison cable end The type of dimensional parameter in the first Deviation factor at time point; compare the first moment of all cable ends. The type of dimensional parameter in the first The sum of deviation factors at each moment is used as the first value of the cable end. The type of dimensional parameter in the first The degree of relative deviation at each moment;

[0060] The specific formula is as follows:

[0061]

[0062] In the formula, Indicates the first [terminal] of the cable. The type of dimensional parameter in the first The degree of relative deviation at each moment; Indicates the number of all compared cable ends; Indicates the cable end and the first The first comparison cable end is in the Comparability at any given moment; Indicates the cable end at the 1st The first moment at the moment Type of dimension parameters; Indicates the first The first comparison cable end is in the The first moment at the moment Type of dimension parameters; This indicates taking the absolute value.

[0063] It should be noted that the abnormal dimensional parameters and relative deviations exhibited at the crimping points of cable ends of varying quality will differ. In the stage of minor or localized defects, these dimensional parameters may only deviate partially or by a small margin. However, when serious quality problems occur at the crimping points of cable ends, such as obvious loosening or the formation of air gaps, these dimensional parameters often deviate in tandem, forming a highly reliable combination of abnormal characteristics. Therefore, when the quality of the cable end crimping is a minor issue, the crimping defect first causes the formation of localized air gaps or changes in the dielectric structure, increasing the equivalent capacitance and causing the main peak frequency to shift to lower frequencies. When the quality of the cable end crimping is serious, the crimping defect forms a stable air gap discharge channel, making discharge easier to trigger and the electric field more concentrated, resulting in more frequent and higher-energy discharges, and an increase in repetition rate and main peak amplitude.

[0064] Preferably, in some implementations of the present invention, the specific method for obtaining the discharge level of the cable end at each moment based on the relative deviation is as follows:

[0065] The repetition rate of the cable ends is in the first... The relative deviation at time point and the main peak amplitude of the cable end at time point The average of the relative deviations at each time point is denoted as the characteristic mean; the peak frequency of the cable end is denoted as the value at the th time point. The product of the relative deviation at time t and the characteristic mean is denoted as the discharge characteristic value; the main peak frequency of the cable end is denoted as the value at time t. The normalized value of the sum of the relative deviation and the discharge characteristic value at time n is used as the cable end at time n. The degree of discharge at each moment;

[0066]

[0067] In the formula, Indicates the cable end at the 1st The degree of discharge at each moment; This indicates that the dominant peak frequency of the cable end is at the [missing information - likely a specific frequency range]. The degree of relative deviation at each moment; Indicates the repetition rate of the cable end in the th... The relative deviation at time point and the main peak amplitude of the cable end at time point The mean of the relative deviations at each time point; Linear normalization function.

[0068] Among them, when A larger value indicates a significant shift in the main peak frequency at the cable end; if at the same time... A larger discharge level indicates a serious quality problem with the cable end crimping, leading to a greater degree of discharge at the cable end. Therefore, it is necessary to utilize... right The discharge level is amplified to better highlight it.

[0069] Thus, the discharge level of the cable end at each moment can be obtained using the above method.

[0070] Step S003: Based on the changes in humidity data in the humidity sequence of the cable end crimping point, obtain the discharge interest interval and the humidity rise interval; based on the changes in the discharge degree in the discharge interest interval, obtain the humidity rise discharge degree of the cable end in each discharge interest interval; based on the humidity rise discharge degree, obtain the humidity rate discharge degree of the cable end; based on the changes in the discharge degree in the humidity rise interval, obtain the humidity threshold discharge degree of the cable end; based on the humidity threshold discharge degree and the humidity rate discharge degree, obtain the crimping fault degree of the cable end.

[0071] It should be noted that during real-time monitoring of power construction quality, if the discharge level at the cable end shows a synchronous increasing trend as humidity rises, it indicates that there may be a void structure at the crimping point caused by crimping quality issues, which allows moisture to be absorbed and form a surface discharge channel, thereby causing a deterioration of the local discharge characteristics. Therefore, the discharge level at the cable end is not fixed in time, but rather the crimping quality characteristics of power construction are more easily revealed under higher humidity conditions.

[0072] It should be further noted that when humidity rises rapidly or reaches a certain level, the discharge caused by crimping defects becomes more pronounced. When ambient humidity increases, moisture in the air is more likely to accumulate in the tiny gaps or defects in the wrapping layer at the cable end crimping point, forming a thin layer of adsorbed water film. This water film has a certain degree of conductivity, which reduces the initiation voltage of partial discharge and enhances the non-uniformity of the electric field, making the discharge easier to trigger, resulting in an increase in discharge frequency and intensity, manifested as an enhanced discharge degree. When humidity rises slowly, reaching a certain threshold may also cause local gaps to adsorb enough moisture to form a conductive path. Therefore, it is necessary to judge the crimping defects at the cable end based on the response relationship between humidity changes and the discharge degree at the end.

[0073] Preferably, in some implementations of the present invention, the specific method for obtaining the discharge interest region based on the change in humidity data in the humidity sequence of the cable end crimping point is as follows:

[0074] Preset a slope threshold parameter In this embodiment, This example is used for illustration; no specific limitations are set in this embodiment. It depends on the specific implementation situation;

[0075] For any given moment in the humidity sequence of the cable end crimping point, if both the first-order difference and the second-order difference of the humidity data at that moment are greater than the slope threshold parameter... Any one of the aforementioned moments shall be designated as the first target moment; in the humidity sequence of the crimping point at the cable end, each interval consisting of all consecutive adjacent first target moments shall be designated as the discharge interest interval.

[0076] Among them, a first-order difference value greater than 0 indicates that the humidity is increasing, and a second-order difference value greater than 0 indicates that the slope is increasing and the rate of humidity increase is accelerating, and the degree of discharge may be more obvious. Obtaining the first-order difference value and the second-order difference value are existing technologies, and will not be described in detail here.

[0077] Preferably, in some implementations of the present invention, as the rate of humidity increase accelerates, it indicates that the cable end crimping structure is prone to moisture absorption. When the rate of humidity increase is faster, a surface discharge path is more likely to be formed, which will increase the degree of discharge and reflect potential structural defects. Therefore, based on the change in the degree of discharge of the cable end in each discharge interest interval, the specific method for obtaining the degree of humidity-increased discharge of the cable end in each discharge interest interval is as follows:

[0078] In the In the discharge concern interval, the cable end will be in the first... The normalized value of the maximum discharge level at all times prior to time i is denoted as the i-th time. The maximum discharge level at the moment; the moment The maximum discharge level at time and the cable end at time . The product of the discharge levels at time i is denoted as the i-th time. The humidity increases the discharge factor at a certain moment; the cable end is at the first... The sum of the humidity rise discharge factors at all times within each discharge interest interval is denoted as the discharge factor at the cable end at the [number]th [time period]. The degree of discharge increase with increasing humidity in the discharge focus area;

[0079] The specific formula is as follows:

[0080]

[0081] In the formula, Indicates the cable end at the 1st The degree of discharge increase with increasing humidity in the discharge focus area; Indicates the first The number of all times within a single discharge interest interval; Indicates the cable end at the 1st In the discharge interest interval, the first The maximum discharge level of all moments prior to a given moment; Indicates the cable end at the 1st In the discharge interest interval, the first The degree of discharge at each moment; Linear normalization function.

[0082] Within the discharge concern zone, if discharge occurs at the cable end, the discharge becomes increasingly pronounced as humidity increases at a faster rate. Therefore, utilizing... Control the weights, thereby affecting Perform a weighted average.

[0083] Preferably, in some implementations of the present invention, since there are several discharge interest zones at the cable end, and the final humidity increase rate differs between the discharge interest zones, the weight of different discharge interest zones in judging the quality of the cable end also differs; therefore, the specific method for obtaining the humidity rate discharge degree of the cable end based on the humidity increase discharge degree is as follows:

[0084] The first cable end The normalized value of the maximum first-order difference of humidity data at all times within the discharge interest interval and the cable end at the ___ The product of the degree of discharge due to increased humidity in each discharge interest region is denoted as the i-th The humidity rate discharge factor of each discharge interest interval; the normalized value of the sum of the humidity rate discharge factors of all discharge interest intervals at the cable end is taken as the humidity rate discharge degree of the cable end.

[0085] The specific formula is as follows:

[0086]

[0087] In the formula, Indicates the rate of discharge at the cable end; This indicates the number of all discharge interest zones at the cable end; Indicates the first [terminal] of the cable. The maximum value of the first difference of humidity data at all times within a discharge interest interval; Indicates the cable end at the 1st The degree of discharge increase with increasing humidity in the discharge focus area; Linear normalization function.

[0088] in, The larger the value, the more likely the cable end is to be in the [number]th [position]. The faster the rate at which humidity data increases within a discharge concern interval, the more likely a discharge phenomenon is to occur. Therefore, the discharge concern intervals where discharge phenomena are likely to occur are mainly used to determine whether a discharge phenomenon will occur at the cable end, thereby characterizing whether there are quality problems at the crimping of the cable end.

[0089] It should be noted that when the humidity rises slowly, it may still cause local gaps to absorb enough moisture to form a conductive path when it reaches a certain threshold. After the humidity reaches a certain threshold, as the humidity continues to rise, the discharge level begins to show a trend of increased stability and a slow increase in amplitude. This change is generally not an instantaneous jump, but rather a slow and continuous increase, reflecting that the discharge channel is transitioning from an intermittent state to a stable state, indicating that there may be a structural moisture absorption defect at the cable end.

[0090] Preferably, in some implementations of the present invention, the specific method for obtaining the humidity rise range of the cable end is as follows:

[0091] For any given moment in the humidity sequence of the cable end crimping point, if the first difference value of the humidity data at that moment is greater than the slope threshold parameter... Any one of the aforementioned moments is designated as the second target moment; in the humidity sequence of the crimping point at the cable end, each interval consisting of all consecutive adjacent second target moments is designated as the humidity rise interval.

[0092] Preferably, in some implementations of the present invention, within the humidity increase range, the humidity at the cable end will continue to rise. When it reaches a certain threshold, it will exhibit a trend of increased stability and a slow increase in amplitude. The specific method for obtaining the distinguishing reliability of each humidity increase range of the cable end based on the change in the discharge level of the cable end in each humidity increase range is as follows:

[0093] Preset a window parameter In this embodiment, This example is used for illustration; no specific limitations are set in this embodiment. It depends on the specific implementation situation;

[0094] At the cable end In the humidity increase range, the first one is... Centered on a given moment, construct a window with a length of [value]. The time window is denoted as the first. A trend judgment window at any given moment;

[0095] The cable end is at the The variance of the discharge level at all times within the trend judgment window at time i is denoted as the i-th time. The degree of discharge stability at each moment;

[0096] The cable end is at the The trend judgment window at the moment of the moment. The discharge level at time 1 and the discharge level at time 2 The absolute value of the difference between the discharge levels at time n is denoted as the nth time n. The discharge difference at time n; the discharge difference at time n. The absolute value of the difference between the discharge stability at the last moment and the discharge stability at the first moment in the trend judgment window is denoted as the nth moment. The discharge stability difference at time t; the first time... The discharge stability difference at time t and the t The normalized value of the ratio between the cumulative sums of discharge differences at all times within the trend judgment window at time n is used as the first value. The degree of stability enhancement at each moment;

[0097] The cable end is at the The discharge level at time 1 and the discharge level at time 2 The product of the stability enhancement at time t is used as the product of the stability enhancement at time t. Humidity threshold index at any given moment;

[0098] At the cable end In the humidity increase range, the first The average of the humidity threshold index at all times up to the nth time point is denoted as the first mean; the average of the humidity threshold index at the nth time point is denoted as the second mean. The average of the humidity threshold index at all times after the first time point is denoted as the second average; the difference between the second average and the first average is denoted as the third average. The distinguishing index at the moment; the first time the cable end is... The time corresponding to the maximum value of the distinguishing index in each humidity increase interval is denoted as the nth interval. The time points for distinguishing the humidity increase intervals; the first The normalized value of the discrimination index for distinguishing the time intervals of humidity rise is used as the first value of the discrimination index for the cable end. The reliability of distinguishing between different humidity increase ranges.

[0099] It should be noted that, because some humidity increase intervals may not reach the humidity threshold during the increase process, or the entire humidity increase interval may be above the humidity threshold, the timing of the humidity increase interval is unreliable. In this case, the discrimination index corresponding to the timing of the humidity increase interval will be small, that is, the discrimination reliability of the humidity increase interval is low. Therefore, the higher the discrimination reliability, the more likely it is that a discharge phenomenon has occurred with the increase of humidity, and the greater the possibility of quality problems at the cable end.

[0100] Preferably, in some implementations of the present invention, the specific method for obtaining the humidity threshold discharge level of the cable end based on the distinguishing confidence level is as follows:

[0101] The maximum confidence level of distinguishing all humidity rise intervals at the cable end is taken as the humidity threshold discharge level of the cable end.

[0102] Preferably, in some implementations of the present invention, the partial discharge phenomenon becomes more pronounced in both scenarios of rapid humidity increase and humidity reaching a threshold. The specific method for obtaining the degree of crimping fault at the cable end based on the humidity threshold discharge degree and the humidity rate discharge degree is as follows:

[0103] The maximum value of the humidity threshold discharge level and the humidity rate discharge level at the cable end is taken as the degree of crimping fault at the cable end.

[0104] Thus, the degree of crimping failure at the cable end is obtained through the above method.

[0105] Step S004: Monitor the end quality in power construction quality monitoring based on the degree of crimping failure.

[0106] Preferably, in some implementations of the present invention, the specific method for fault monitoring of the end quality in power construction quality monitoring based on the degree of crimping fault is as follows:

[0107] Preset a fault threshold parameter In this embodiment, This example is used for illustration; no specific limitations are set in this embodiment. It depends on the specific implementation situation;

[0108] Based on the above method, a test is performed every hour, and the degree of crimping fault at each cable end is obtained each time. When the degree of crimping fault exceeds the fault threshold parameter... If the discharge occurs, it indicates that the problem is due to a faulty crimping of the cable end, suggesting inadequate electrical installation quality. The corresponding cable end needs to be repaired.

[0109] This concludes the embodiment; please refer to [link / reference]. Figure 2 It shows a flowchart illustrating the characteristic relationships of a real-time monitoring method for power construction quality based on the Internet of Things.

[0110] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A power construction quality real-time monitoring method based on the Internet of Things, characterized in that, The method comprises the following steps: Obtaining a plurality of dimensional parameter sequences, a crimping point temperature sequence and a crimping point humidity sequence of the cable end; the plurality of dimensional parameters include a main peak frequency, a repetition rate and a main peak amplitude; By comparing and analyzing the temperature data and humidity data between the cable end and other cable ends, the comparability of the cable end and each comparative cable end at each time point is obtained; by comparing and analyzing the difference of each dimensional parameter between the cable end and other cable ends and the comparability, the relative deviation degree of each dimensional parameter of the cable end at each time point is obtained; according to the relative deviation degree, the discharge degree of the cable end at each time point is obtained. According to the change of the humidity data in the crimping point humidity sequence of the cable end, a discharge attention interval and a humidity rising interval are obtained; according to the change of the discharge degree in the discharge attention interval, the humidity rising discharge degree of the cable end in each discharge attention interval is obtained; according to the humidity rising discharge degree, the humidity rate discharge degree of the cable end is obtained; according to the change of the discharge degree in the humidity rising interval, the humidity threshold discharge degree of the cable end is obtained; according to the humidity threshold discharge degree and the humidity rate discharge degree, the crimping fault degree of the cable end is obtained. Based on the crimping fault degree, the end quality in the power construction quality monitoring is monitored for fault. The specific method for obtaining the comparability of the cable end and each comparative cable end at each time point by comparing and analyzing the temperature data and humidity data between the cable end and other cable ends comprises: All the cable ends except the cable end are taken as comparative cable ends. Connect the cable end to the first The first comparison cable end is in the The absolute value of the difference between the temperature data at time point 1 is denoted as the temperature difference value; the cable end is connected to the 1st time point... The first comparison cable end is in the The absolute value of the difference between the humidity data at each time point is denoted as the humidity difference value; the inverse proportional normalized value between the maximum value of the temperature difference value and the humidity difference value is used as the value between the cable end and the first... The first comparison cable end is in the Comparability at any given moment. 2.The method of claim 1, wherein, The specific method for obtaining the relative deviation degree of each dimensional parameter of the cable end at each time point by comparing and analyzing the difference of each dimensional parameter between the cable end and other cable ends and the comparability comprises: Connect the cable end to the first The first comparison cable end is in the The first moment at the moment The absolute value of the difference between the parameters of the first dimension is denoted as the first. The first comparison cable end The type of dimensional parameter in the first The deviation value at time point ; connect the cable end to the _. The first comparison cable end is in the Comparability at time point 1 and time 2 The first comparison cable end The type of dimensional parameter in the first The product of the deviation values ​​at time t is denoted as the product of the deviation values ​​at time t. The first comparison cable end The type of dimensional parameter in the first Deviation factor at time point; compare the first moment of all cable ends. The type of dimensional parameter in the first The sum of deviation factors at each moment is used as the first value of the cable end. The type of dimensional parameter in the first The degree of relative deviation at each moment. 3.The real-time monitoring method for power construction quality based on Internet of Things according to claim 1, characterized in that, The specific method for obtaining the discharge degree of the cable end at each time point according to the relative deviation degree comprises: The plurality of dimensional parameters include a main peak amplitude, a repetition rate and a main peak frequency. The relative deviation degree of the repetition rate of the cable end at the first moment and the relative deviation degree of the main peak amplitude of the cable end at the first moment are denoted as a feature mean value. The product of the relative deviation degree of the main peak frequency of the cable end at the first moment and the characteristic mean value is recorded as a discharge characteristic value; the normalized value of the sum between the relative deviation degree of the main peak frequency of the cable end at the first moment and the discharge characteristic value is taken as the discharge degree of the cable end at the first moment. 4.The method of claim 1, wherein, The specific method for obtaining the discharge attention interval and the humidity rising interval according to the change of the humidity data in the crimping point humidity sequence of the cable end comprises: A slope threshold parameter is preset For any one time instant in the sequence of the crimping point humidity of the cable end If the first-order differential value and the second-order differential value of the humidity data at the arbitrary moment are both greater than the slope threshold parameter The arbitrary moment is recorded as a first target moment, and each interval formed by all continuous adjacent first target moments in the crimping point humidity sequence of the cable end is recorded as a discharge attention interval. If the first-order differential value of the humidity data at the arbitrary moment is greater than a slope threshold parameter The arbitrary moment is recorded as a second target moment, and each interval formed by all continuous adjacent second target moments in the crimping point humidity sequence of the cable end is recorded as a humidity rising interval. 5.The real-time monitoring method for power construction quality based on Internet of Things according to claim 1, characterized in that, The specific method for obtaining the humidity rising discharge degree of the cable end in each discharge attention interval according to the change of the discharge degree in the discharge attention interval comprises: In the first discharge focus interval, the normalized value of the maximum value of the discharge degree of the cable end at all times before the first time is recorded as the maximum discharge degree at the first time; the product between the maximum discharge degree at the first time and the discharge degree of the cable end at the first time is recorded as the humidity rise discharge factor at the first time; and the cumulative sum of the humidity rise discharge factors at all times in the first discharge focus interval is recorded as the humidity rise discharge degree of the cable end in the first discharge focus interval. 6.The method of claim 1, wherein, The specific method for obtaining the humidity rate discharge degree of the cable end according to the humidity rising discharge degree comprises: The first cable end The normalized value of the maximum first-order difference of humidity data at all times within the discharge interest interval and the cable end at the ___ The product of the degree of discharge due to increased humidity in each discharge interest region is denoted as the i-th The humidity rate discharge factor of each discharge interest interval; the normalized value of the sum of the humidity rate discharge factors of all discharge interest intervals at the cable end is taken as the humidity rate discharge degree of the cable end. 7.The real-time monitoring method for power construction quality based on Internet of Things according to claim 1, characterized in that, The specific method for obtaining the humidity threshold discharge degree of the cable end according to the change of the discharge degree in the humidity rising interval comprises: Pre-set a window parameter , in the first humidity rising interval of the cable end, a time window with a window length of is constructed with the first moment as the center, and is recorded as the trend judgment window of the first moment; the variance of the discharge degree of all moments in the trend judgment window of the first moment of the cable end is recorded as the discharge stability degree of the first moment. The cable end is at the The trend judgment window at the moment of the moment. The discharge level at time 1 and the discharge level at time 2 The absolute value of the difference between the discharge levels at time n is denoted as the nth time n. The discharge difference at time n; the discharge difference at time n. The absolute value of the difference between the discharge stability at the last moment and the discharge stability at the first moment in the trend judgment window is denoted as the nth moment. The discharge stability difference at time t; the first time... The discharge stability difference at time t and the t The normalized value of the ratio between the cumulative sums of discharge differences at all times within the trend judgment window at time n is used as the first value. The degree of stability enhancement at each moment; the cable end at the first moment. The discharge level at time 1 and the discharge level at time 2 The product of the stability enhancement at time t is used as the product of the stability enhancement at time t. Humidity threshold index at any given moment; According to the humidity threshold index, the distinguishable reliability of each humidity rising interval of the cable end is obtained; the maximum value of the distinguishable reliabilities of all the humidity rising intervals of the cable end is taken as the humidity threshold discharge degree of the cable end. 8.The method of claim 7, wherein, The specific method for obtaining the distinguishable reliability of each humidity rising interval of the cable end according to the humidity threshold index comprises: In the first humidity rising interval of the cable end, the average of the humidity threshold index of all time before the first time is recorded as the first average; the average of the humidity threshold index of all time after the first time is recorded as the second average; the difference between the second average and the first average is recorded as the discrimination index of the first time; the time corresponding to the maximum discrimination index in the first humidity rising interval of the cable end is recorded as the discrimination time of the first humidity rising interval; the normalized value of the discrimination index of the discrimination time of the first humidity rising interval is recorded as the discrimination credibility of the first humidity rising interval of the cable end. 9.The method of claim 1, wherein, The method for obtaining the crimping fault degree of the cable end according to the humidity threshold discharge degree and the humidity rate discharge degree comprises the following specific steps: The maximum value of the humidity threshold discharge degree and the humidity rate discharge degree of the cable end is taken as the crimping fault degree of the cable end.

Citation Information

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