CN117216956A - Device, method and equipment for correcting thermal-oxidative aging model of XLPE cable - Google Patents

Device, method and equipment for correcting thermal-oxidative aging model of XLPE cable Download PDF

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Publication number
CN117216956A
CN117216956A CN202311064756.8A CN202311064756A CN117216956A CN 117216956 A CN117216956 A CN 117216956A CN 202311064756 A CN202311064756 A CN 202311064756A CN 117216956 A CN117216956 A CN 117216956A
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China
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curve
aging
oxygen concentration
xlpe cable
determining
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Inventor
黄应敏
胡超强
王骞能
邹科敏
邵源鹏
高伟光
许翠珊
梁志豪
陈喜东
游仿群
杨展鹏
丁明
吴仕良
黄梓维
邓春晖
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Guangzhou Panyu Cable Group Co Ltd
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Guangzhou Panyu Cable Group Co Ltd
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Priority to CN202311064756.8A priority Critical patent/CN117216956A/en
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Abstract

The application discloses a thermal oxidative aging model correction device, method and equipment for XLPE cables, and belongs to the technical field of electric power facilities. The device comprises: the basic model construction module is used for acquiring a new cable sample with the same parameters as the in-use XLPE cable; the thermal oxidation aging model construction module is used for obtaining standard aging degree curves of new cable samples in different temperature environments; the correction coefficient determining module is used for determining correction coefficients for the standard aging degree curves according to the influence of different oxygen concentrations on the standard aging degree curves; and the correction module is used for acquiring temperature data and oxygen concentration data of the in-use XLPE cable, determining a target aging degree curve and a target correction coefficient according to the data, and determining the corrected target aging degree curve as a fitting aging curve of the in-use XLPE cable. According to the technical scheme, the standard aging degree curves at different temperatures are corrected according to the oxygen concentration, so that the recognition efficiency and accuracy of the XLPE cable aging degree can be improved.

Description

Device, method and equipment for correcting thermal-oxidative aging model of XLPE cable
Technical Field
The application belongs to the technical field of electric power facilities, and particularly relates to a thermal-oxidative aging model correction device, method and equipment for XLPE cables.
Background
The cable is used as one of basic equipment of important facilities such as power and communication, and the safety and the reliability of the cable are directly related to the stable operation of the modern society. Among them, XLPE cables have excellent mechanical strength, electrical properties and heat resistance, and have been widely used in various fields. Therefore, it is necessary to identify the service life of XLPE cables and to replace the over-aged XLPE cables in a timely manner.
In the prior art, the cable insulation aging state is diagnosed according to real-time data of the characteristic parameters, but a cable insulation field aging rule based on the characteristic parameters is required to be established before diagnosis, so that long-term tracking, sampling and detection on the in-service cable are required, and the time is very long. Therefore, how to quickly and accurately identify the service life of XLPE cables is a technical problem to be solved by those skilled in the art.
Disclosure of Invention
The embodiment of the application aims to provide a thermal oxidation aging model correction device, method and equipment for XLPE cables, and aims to correct standard aging degree curves of the XLPE cables in different temperature environments according to oxygen concentration data, humidity data and stress data, so that the effects of improving the recognition efficiency of aging degrees and the accuracy of recognition results are achieved, and the application range of the device is enlarged.
In a first aspect, an embodiment of the present application provides a thermal oxidative aging model modification apparatus for an XLPE cable, the apparatus including:
the basic model construction module is used for acquiring a new cable sample with the same parameters as the in-use XLPE cable;
the thermal oxidation aging model construction module is used for testing the new cable sample by adopting different temperature environments to obtain standard aging degree curves in the temperature environments;
the correction coefficient determining module is used for determining correction coefficients for the standard aging degree curves according to the influence of different oxygen concentrations on the standard aging degree curves;
and the correction module is used for acquiring temperature data and oxygen concentration data of the in-use XLPE cable, determining a target aging degree curve from the standard aging degree curves according to the temperature data and the oxygen concentration data, determining a target correction coefficient, and determining the corrected target aging degree curve as a fitting aging curve of the in-use XLPE cable.
In a second aspect, an embodiment of the present application provides a method for correcting a thermal oxidative aging model of an XLPE cable, where the method includes:
obtaining a new cable sample with the same parameters as the in-use XLPE cable through a basic model building module;
Testing the new cable sample by adopting different temperature environments through a thermo-oxidative aging model construction module to obtain standard aging degree curves in the temperature environments;
determining correction coefficients of the standard aging degree curves according to the influence of different oxygen concentrations on the standard aging degree curves through a correction coefficient determination module;
and acquiring temperature data and oxygen concentration data of the in-use XLPE cable through a correction module, determining a target aging degree curve from all standard aging degree curves according to the temperature data and the oxygen concentration data, determining a target correction coefficient, and determining the corrected target aging degree curve as a fitting aging curve of the in-use XLPE cable.
In a third aspect, an embodiment of the present application provides an electronic device, including a processor, a memory, and a program or instruction stored on the memory and executable on the processor, the program or instruction implementing the steps of the method according to the first aspect when executed by the processor.
In a fourth aspect, embodiments of the present application provide a readable storage medium having stored thereon a program or instructions which when executed by a processor perform the steps of the method according to the first aspect.
In a fifth aspect, an embodiment of the present application provides a chip, where the chip includes a processor and a communication interface, where the communication interface is coupled to the processor, and where the processor is configured to execute a program or instructions to implement a method according to the first aspect.
In the embodiment of the application, a basic model construction module is used for acquiring a new cable sample with the same parameters as the used XLPE cable; the thermal oxidation aging model construction module is used for testing the new cable sample by adopting different temperature environments to obtain standard aging degree curves in the temperature environments; the correction coefficient determining module is used for determining correction coefficients for the standard aging degree curves according to the influence of different oxygen concentrations on the standard aging degree curves; and the correction module is used for acquiring temperature data and oxygen concentration data of the in-use XLPE cable, determining a target aging degree curve from the standard aging degree curves according to the temperature data and the oxygen concentration data, determining a target correction coefficient, and determining the corrected target aging degree curve as a fitting aging curve of the in-use XLPE cable. According to the correction device for the thermal oxidation aging model of the XLPE cable, the standard aging degree curve of the XLPE cable with the same parameters is constructed, so that accurate data reference can be provided for identifying the service life of the XLPE cable rapidly, the accuracy of an identification result is improved, the standard aging degree curve of the XLPE cable in different temperature environments is corrected according to oxygen concentration data, humidity data and stress data, the service lives of the XLPE cable in different environments can be predicted, and the application range of the device is enlarged.
Drawings
Fig. 1 is a schematic structural diagram of a thermal oxidative aging model correction device for XLPE cables according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a thermal oxidative aging model correction device for XLPE cables according to a second embodiment of the present application;
fig. 3 is a schematic structural diagram of a thermal oxidative aging model correction device for XLPE cables according to a third embodiment of the present application;
fig. 4 is a schematic structural diagram of a thermal oxidative aging model correction device for XLPE cables according to a fourth embodiment of the present application;
fig. 5 is a schematic structural diagram of a thermal oxidative aging model correction device for XLPE cables according to a fifth embodiment of the present application;
fig. 6 is a flow chart of a thermal oxidative aging model correction method for XLPE cables provided in embodiment six of the present application;
fig. 7 is a schematic structural diagram of an electronic device according to a seventh embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the following detailed description of specific embodiments of the present application is given with reference to the accompanying drawings. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the matters related to the present application are shown in the accompanying drawings. Before discussing exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart depicts operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently, or at the same time. Furthermore, the order of the operations may be rearranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figures. The processes may correspond to methods, functions, procedures, subroutines, and the like.
The technical solutions of the embodiments of the present application will be clearly described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which are obtained by a person skilled in the art based on the embodiments of the present application, fall within the scope of protection of the present application.
The terms first, second and the like in the description and in the claims, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged, as appropriate, such that embodiments of the present application may be implemented in sequences other than those illustrated or described herein, and that the objects identified by "first," "second," etc. are generally of a type, and are not limited to the number of objects, such as the first object may be one or more. Furthermore, in the description and claims, "and/or" means at least one of the connected objects, and the character "/", generally means that the associated object is an "or" relationship.
The device, the method and the equipment for correcting the thermal oxidative aging model of the XLPE cable provided by the embodiment of the application are described in detail through specific embodiments and application scenes thereof by combining the attached drawings.
Example 1
Fig. 1 is a schematic structural diagram of a thermal oxidative aging model correction device for XLPE cables according to an embodiment of the present application. As shown in fig. 1, the method specifically comprises the following steps:
a base model building module 110 for obtaining new cable samples having the same parameters as the in-use XLPE cable;
the thermal-oxidative aging model construction module 120 is configured to test the new cable sample in different temperature environments, so as to obtain standard aging degree curves in each temperature environment;
the correction coefficient determining module 130 is configured to determine correction coefficients for the standard aging degree curves according to the influence of different oxygen concentrations on the standard aging degree curves;
and the correction module 140 is used for acquiring temperature data and oxygen concentration data of the in-use XLPE cable, determining a target aging degree curve from the standard aging degree curves according to the temperature data and the oxygen concentration data, determining a target correction coefficient, and determining the corrected target aging degree curve as a fitting aging curve of the in-use XLPE cable.
The method is suitable for correcting standard aging degree curves in different environment temperatures according to various data, and determining the scene of the expected service life of the in-use XLPE cable. Specifically, the determination of the target aging degree curve, the target correction coefficient and the expected service life can be performed by the intelligent terminal equipment, and when the XLPE cable is about to reach the expected service life, workers replace the aged XLPE cable in time, so that the XLPE cable is prevented from being failed due to excessive aging, and the normal operation of the power system is prevented from being influenced.
Based on the above usage scenario, it can be understood that the execution subject of the present application may be the intelligent terminal device, such as a desktop computer, a notebook computer, a mobile phone, a tablet computer, and an interactive multimedia device, which are not limited herein.
The basic model building module 110 may be composed of a conveyor-type automatic cutter, a microprocessor chip of a computer, etc. for obtaining a new cable sample having the same parameters as the in-use XLPE cable.
The XLPE cable can be a cable with an insulating layer made of crosslinked polyethylene (Cross-Linked Polyethylene), is widely applied to the fields of power transmission, power distribution, industry, construction and the like, and is a cable product with high performance and high reliability. The insulating layer of the XLPE cable has low dielectric loss and high dielectric strength, so that the insulating layer can bear higher electric field strength and voltage level, and the cable loss is effectively reduced; because the crosslinked polyethylene has a stable structure, the insulating layer of the XLPE cable can bear a high-temperature environment, has good heat resistance and can meet various complex use conditions; as the molecular structure of the crosslinked polyethylene becomes tighter, the insulating layer of the XLPE cable has high mechanical strength and tensile strength, and can effectively resist external impact and vibration.
The samples may be a portion of observations or data points taken from the population that are used to generate an estimate of the population characteristics, and in particular, the new cable samples may be a plurality of XLPE cables randomly cut out during XLPE cable production with the same parameters as the XLPE cables. The parameters may include physical parameters and working parameters of the XLPE cable, the physical parameters may include length, number of cores, diameter of cores, thickness of insulating layer, etc., and the working parameters may include rated voltage, rated current, resistance, capacitance, inductance, etc.
The conveyor-type automatic cutting machine may be an automatic apparatus that cuts a cable by conveying the cable to a cutting area through a conveyor belt. The new cable sample can be obtained by inputting the length parameter into a conveyor belt type automatic cutter, starting the conveyor belt type automatic cutter, and automatically cutting the XLPE cable.
The thermal-oxidative aging model building module 120 may be composed of a thermal aging box and a microprocessor chip of a computer, and is configured to test the new cable sample in different temperature environments to obtain standard aging degree curves in the temperature environments.
The temperature may be the degree of coldness or warmness of the ambient air in which the XLPE is located in degrees celsius (°c).
The heat aging box can be special equipment for performing heat aging experiments and is mainly used for simulating a high-temperature environment in the long-term use process of the cable so as to accelerate the aging process of the cable and acquire the aging degree data of the cable. The heat aging box is generally composed of a box body, a heating system, a temperature control system, a ventilation system, a monitoring system and the like. The box body of the heat aging box is generally made of stainless steel, and has good corrosion resistance and high temperature resistance; the heating system generally consists of an electric heater, a heating pipe or a heating plate and other devices, so that the temperature of a thermal ageing test can be accurately controlled; the temperature control system can accurately control the test temperature according to the test requirement and automatically record the temperature change condition in the test process; the ventilation system can maintain ventilation and humidity states of the test environment, and the influence of moisture and smell generated in the test process on the test result is avoided; the monitoring system can test and monitor the electrical performance, physical performance and other indexes of the cable so as to obtain aging degree data of the cable.
The aging degree curve may be a smooth curve with time as the horizontal axis and aging degree as the vertical axis. The aging degree may be represented by a degree of change in a certain performance index of the XLPE cable, for example, an electrical performance index such as a resistance, a capacitance, and a dielectric loss of the XLPE cable, or a physical performance index such as a tensile strength and an elongation at break of the XLPE cable. The standard degradation profile may be a degradation profile that is used to provide a data basis for determining the degradation profile of the in-use XLPE cable.
The method for obtaining the standard aging degree curve can adopt a mode of establishing a plane rectangular coordinate system taking time as a horizontal axis and taking aging degree as a vertical axis, continuously testing and monitoring indexes such as electrical performance, physical performance and the like of a new cable sample, converting the change degree of the acquired index data such as the electrical performance, the physical performance and the like into the aging degree by a computer, marking the aging degree and corresponding acquisition time in the plane rectangular coordinate system until the new cable sample fails to finish testing and monitoring, and finally fitting the punctuation into a smooth curve by using an interpolation method. By setting the temperature of the thermal aging oven to different values and repeating the above operations, standard aging degree curves of different temperature environments can be obtained. The interpolation method may be a method of making a specific function by using a function value of a plurality of points known in a certain interval of the function f (x), and common interpolation methods include a lagrangian polynomial interpolation method, a newton interpolation method, a piecewise linear interpolation method, a Hermite interpolation method, a cubic spline interpolation method and the like.
The correction coefficient determining module 130 may be composed of a microprocessor chip of a computer, and is configured to determine correction coefficients for each standard aging degree curve according to influences of different oxygen concentrations on the standard aging degree curve.
The oxygen concentration may be the volume fraction of oxygen in air, expressed as a percentage. Oxygen can react with polyethylene, polyvinyl chloride and other materials in the cable to generate free radicals and other active substances, so that degradation and aging of the cable material are caused, and therefore, the higher the oxygen concentration is, the higher the aging degree corresponding to each time point in the standard aging degree curve is. The correction coefficient may be determined by determining that the correction coefficient corresponding to the oxygen concentration (20.95%) in the normal air is 1, and the correction coefficient corresponding to the other oxygen concentrations is the ratio of the oxygen concentration to the oxygen concentration in the normal air.
The correction module 140 may be composed of a temperature sensor, an oxygen concentration sensor, a microprocessor chip of a computer, etc., and is configured to determine a target aging degree curve and a target correction coefficient according to the temperature data and the oxygen concentration data, and determine the corrected target aging degree curve as the fitted aging curve of the in-use XLPE cable.
The method for determining the target aging degree curve and the target correction coefficient can be implemented by constructing a temperature change curve according to temperature data, constructing an oxygen concentration change curve according to oxygen concentration data, selecting a standard aging curve with the highest similarity between a temperature environment and the temperature change curve from the standard aging degree curves as the target aging degree curve, and determining the target correction coefficient according to the oxygen concentration change curve and the influence weight of the predetermined oxygen concentration on the standard aging curve.
The target aging degree curve is corrected by multiplying the aging degree corresponding to each time point on the target aging degree curve by a target correction coefficient to obtain the target aging degree, and fitting each target aging degree into a smooth curve by using an interpolation method.
In this aspect, optionally, the apparatus may further include: and the service life determining module is used for determining the expected service life of the in-use XLPE cable according to the fitted aging curve.
The expected service life may be the length of time that the electrical, physical, and insulating properties of the XLPE cable can be maintained at a normal level.
The method for determining the expected service life can be implemented by searching a time point corresponding to the aging degree of 80% in the fitting result, subtracting the time point from the time point when the XLPE cable is used, and obtaining an operation result which is the expected service life.
The scheme is set up like this, can make the staff have the visual understanding to the life of using XLPE cable, help the staff to accomplish the maintenance or the replacement work of using XLPE cable.
In the embodiment of the application, a basic model construction module is used for acquiring a new cable sample with the same parameters as the used XLPE cable; the thermal oxidation aging model construction module is used for testing the new cable sample by adopting different temperature environments to obtain standard aging degree curves in the temperature environments; the correction coefficient determining module is used for determining correction coefficients for the standard aging degree curves according to the influence of different oxygen concentrations on the standard aging degree curves; and the correction module is used for acquiring temperature data and oxygen concentration data of the in-use XLPE cable, determining a target aging degree curve from the standard aging degree curves according to the temperature data and the oxygen concentration data, determining a target correction coefficient, and determining the corrected target aging degree curve as a fitting aging curve of the in-use XLPE cable. According to the technical scheme, the standard aging degree curve of the XLPE cable with the same parameters is constructed, so that accurate data reference can be provided for identifying the service life of the XLPE cable rapidly, the accuracy of an identification result is improved, the service lives of the XLPE cable in different environments can be identified by fitting the aging degree curve of a sample of the XLPE cable, and the application range of the device is enlarged.
Example two
Fig. 2 is a schematic structural diagram of a thermal oxidative aging model correction device for XLPE cables according to a second embodiment of the present application. The scheme makes better improvement on the basis of the embodiment, and the specific improvement is as follows: the correction module is specifically configured to: acquiring temperature data and oxygen concentration data of the in-use XLPE cable through a temperature sensor and an oxygen concentration sensor which are arranged on the in-use XLPE cable respectively; and constructing a temperature change curve according to the temperature data, and constructing an oxygen concentration change curve according to the oxygen concentration data.
As shown in fig. 2, the apparatus includes:
a base model building module 210 for obtaining new cable samples having the same parameters as the in-use XLPE cable;
the thermal-oxidative aging model construction module 220 is configured to test the new cable sample in different temperature environments, so as to obtain standard aging degree curves in each temperature environment;
the correction coefficient determining module 230 is configured to determine correction coefficients for each standard aging degree curve according to the influence of different oxygen concentrations on the standard aging degree curve;
and the correction module 240 is configured to obtain temperature data and oxygen concentration data of the in-use XLPE cable, determine a target aging degree curve from the standard aging degree curves according to the temperature data and the oxygen concentration data, determine a target correction coefficient, and determine the corrected target aging degree curve as the fitted aging curve of the in-use XLPE cable.
The correction module 240 is specifically configured to: acquiring temperature data and oxygen concentration data of the in-use XLPE cable through a temperature sensor and an oxygen concentration sensor which are arranged on the in-use XLPE cable respectively; and constructing a temperature change curve according to the temperature data, and constructing an oxygen concentration change curve according to the oxygen concentration data.
The temperature sensor may be an infrared thermometer, which may be a device for measuring the temperature of the surface of the object using infrared radiation, and the temperature of the surface of the object may be calculated by receiving the infrared radiation emitted from the surface of the object. The temperature change curve may be a curve showing a trend of temperature change on a time axis. The method of constructing the temperature change curve can adopt a mode of establishing a plane rectangular coordinate system taking time as a horizontal axis and taking temperature as a vertical axis, acquiring temperature data of the in-use XLPE cable every 1 second, marking the acquired temperature data and corresponding acquisition time in the plane rectangular coordinate system by a computer, and finally fitting the punctuations into a smooth curve by using an interpolation method.
The oxygen concentration sensor can be an electrochemical oxygen sensor, the electrochemical oxygen sensor generally comprises an oxygen electrode and a reference electrode, the oxygen electrode is made of platinum or metal oxide, when oxygen molecules contact the surface of the oxygen electrode, oxidation-reduction reaction occurs, a current signal is generated, and the oxygen concentration can be determined by measuring the magnitude of the current signal. The oxygen concentration change curve may be a curve showing a change trend of the oxygen concentration on the time axis. The mode of constructing the temperature change curve can be adopted by establishing a plane rectangular coordinate system taking time as a horizontal axis and taking oxygen concentration as a vertical axis, acquiring oxygen concentration data of the in-use XLPE cable every 1 second, marking the acquired oxygen concentration data and corresponding acquisition time in the plane rectangular coordinate system by a computer, and finally fitting the punctuations into a smooth curve by using an interpolation method.
The technical scheme has the advantages that by constructing the temperature change curve and the oxygen concentration change curve, an accurate data basis can be provided for determining the target aging degree curve and the target correction coefficient, and the accuracy and the reliability of the aging degree prediction result are improved.
Example III
Fig. 3 is a schematic structural diagram of a thermal oxidative aging model correction device for XLPE cables according to a third embodiment of the present application. The scheme makes better improvement on the basis of the embodiment, and the specific improvement is as follows: the correction module is further configured to: according to the temperature change curves, selecting a standard aging curve with highest similarity between a temperature environment and the temperature change curves from the standard aging degree curves as a target aging degree curve; and determining a target correction coefficient according to the oxygen concentration change curve and the influence weight of the predetermined oxygen concentration on the standard aging curve.
As shown in fig. 3, the apparatus includes:
a base model building module 310 for obtaining new cable samples having the same parameters as the in-use XLPE cable;
the thermal-oxidative aging model construction module 320 is configured to test the new cable sample in different temperature environments to obtain standard aging degree curves in the temperature environments;
The correction coefficient determining module 330 is configured to determine correction coefficients for each standard aging degree curve according to the influence of different oxygen concentrations on the standard aging degree curve;
and the correction module 340 is configured to obtain temperature data and oxygen concentration data of the in-use XLPE cable, determine a target aging degree curve from the standard aging degree curves according to the temperature data and the oxygen concentration data, determine a target correction coefficient, and determine the corrected target aging degree curve as the fitted aging curve of the in-use XLPE cable.
Wherein, the correction module 340 is further configured to: according to the temperature change curves, selecting a standard aging curve with highest similarity between a temperature environment and the temperature change curves from the standard aging degree curves as a target aging degree curve; and determining a target correction coefficient according to the oxygen concentration change curve and the influence weight of the predetermined oxygen concentration on the standard aging curve.
The mode of selecting the standard aging curve with the highest similarity can adopt a dynamic time warping method. The dynamic time warping method can be a method for comparing the similarity of two time sequences, and can stretch or scale the time axes of two curves so as to match corresponding points of the two curves, and the dynamic time warping method can cope with the situations of different curve lengths, different speeds and the like and has high flexibility.
The weight may be the importance of a certain factor or index relative to a certain thing, the weight is different from the general proportion, the weight is not only the percentage of the certain factor or index, but the emphasis is the relative importance of the factor or index. The reference weight represents the relative importance of a standard aging degree curve relative to the fitting result. The method for determining the influence weight of the oxygen concentration can adopt a mode of inputting oxygen concentration data into a neural network model, and a computer calculates and feeds back the influence weight. The neural network can be a calculation model based on the structure and the function of biological neurons, the data processing and analysis are realized through the connection and the information transmission among a plurality of nodes, and specific nodes can comprise temperature data, oxygen concentration data, humidity data, stress data and aging degree.
The method for determining the target correction coefficient can adopt a mode of calculating the ratio of the occurrence time of each oxygen concentration in a change period to the change period in the oxygen concentration change curve as a duration parameter, multiplying the duration parameter, the correction coefficient of the oxygen concentration on the standard aging degree curve and the influence weight to obtain a partial correction coefficient of the oxygen concentration, and finally adding the partial correction coefficients of all the oxygen concentrations to obtain the target correction coefficient. Wherein the period of change may be a time interval in which a certain change in the oxygen concentration repeatedly occurs on the time axis.
Correspondingly, the target aging degree curve is corrected by multiplying the aging degree corresponding to each time point on the target aging degree curve by the target correction coefficient to obtain the target aging degree, and fitting each target aging degree into a smooth curve by using an interpolation method.
The technical scheme has the advantages that the target aging degree curve is corrected according to the oxygen concentration data, the aging degree of the in-use XLPE cable in different oxygen concentration environments can be predicted, and therefore the application range of the device is enlarged, and the practicability and accuracy are improved.
Example IV
Fig. 4 is a schematic structural diagram of a thermal oxidative aging model correction device for XLPE cables according to a fourth embodiment of the present application. The scheme makes better improvement on the basis of the embodiment, and the specific improvement is as follows: the device also comprises an ambient humidity acquisition module for: acquiring humidity data of the in-use XLPE cable through a humidity sensor arranged on the in-use XLPE cable; constructing a humidity change curve according to the humidity data; correspondingly, the correction module is further configured to: and determining a target correction coefficient according to the oxygen concentration change curve and the influence weight of the predetermined oxygen concentration on the standard aging curve and according to the humidity change curve and the influence weight of the predetermined air humidity on the standard aging curve.
As shown in fig. 4, the apparatus includes:
a base model building module 410 for obtaining new cable samples having the same parameters as the in-use XLPE cable;
the thermal-oxidative aging model construction module 420 is configured to test the new cable sample in different temperature environments to obtain standard aging degree curves in the temperature environments;
the correction coefficient determining module 430 is configured to determine correction coefficients for the standard aging degree curves according to the influence of different oxygen concentrations on the standard aging degree curves;
the ambient humidity acquisition module 440 is configured to: acquiring humidity data of the in-use XLPE cable through a humidity sensor arranged on the in-use XLPE cable; constructing a humidity change curve according to the humidity data;
and the correction module 450 is used for acquiring temperature data and oxygen concentration data of the in-use XLPE cable, determining a target aging degree curve from all standard aging degree curves according to the temperature data and the oxygen concentration data, determining a target correction coefficient, and determining the corrected target aging degree curve as a fitting aging curve of the in-use XLPE cable.
Wherein, the correction module 450 is further configured to: and determining a target correction coefficient according to the oxygen concentration change curve and the influence weight of the predetermined oxygen concentration on the standard aging curve and according to the humidity change curve and the influence weight of the predetermined air humidity on the standard aging curve.
The humidity sensor may be an electronic device for measuring the relative humidity of the surrounding environment, and may convert physical quantities such as capacitance, resistance, surface tension, and conductivity into digital signal output to indicate the relative humidity of the environment. The humidity data may be the relative humidity (RH, relative Humidity) of the environment surrounding the XLPE cable, which may be the ratio of the actual amount of moisture contained in the air to the maximum amount of moisture that can be contained at the current temperature, typically expressed in terms of a percentage, and may be obtained by using a hygrometer, thermocouple, humidity sensor, etc.
The humidity change curve may be a curve showing a change trend of humidity on a time axis. The humidity change curve is constructed by establishing a plane rectangular coordinate system with time as a horizontal axis and humidity as a vertical axis, collecting humidity data of the in-use XLPE cable every 1 second, marking the collected humidity data and corresponding collecting time in the plane rectangular coordinate system by a computer, and finally fitting the punctuations into a smooth curve by using an interpolation method.
The method for determining the influence weight of the humidity data can adopt a mode of inputting the humidity data into a neural network model, and a computer calculates and feeds back the influence weight.
The method for determining the target correction coefficient can adopt a mode of calculating the ratio of the occurrence time of each humidity in a change period to the change period in a humidity change curve as a duration parameter, multiplying the duration parameter, the correction coefficient of the humidity on the standard aging degree curve and the influence weight to obtain a partial correction coefficient of the humidity, and finally adding the partial correction coefficients of all the humidity and the partial correction coefficients of all the oxygen concentration to obtain the target correction coefficient. Wherein the period of variation may be a time interval in which a certain variation of the oxygen concentration repeatedly occurs on the time axis; the mode of determining the correction coefficient of the standard aging degree curve of different humidity data can adopt the mode of determining that the correction coefficient corresponding to the humidity data (20 RH in summer and 80RH in winter) in the conventional air is 1, and the correction coefficient corresponding to other humidity data is the ratio of the humidity data to the humidity data in the conventional air.
The benefit that this technical scheme set up like this is, through correcting target ageing degree curve according to humidity data, can predict the ageing degree that is in the XLPE cable under the different humidity environment, laminating more in the in-service use environment of XLPE cable, the effect of improvement practicality and accuracy.
Example five
Fig. 5 is a schematic structural diagram of a thermal oxidative aging model correction device for XLPE cables according to a fifth embodiment of the present application. The scheme makes better improvement on the basis of the third embodiment, and the specific improvement is as follows: the device also comprises a stress acquisition module for: acquiring stress data of the in-use XLPE cable through a stress sensor arranged on the in-use XLPE cable; constructing a stress change curve according to the stress data; correspondingly, the correction module is further configured to: and determining a target correction coefficient according to the oxygen concentration change curve and the influence weight of the predetermined oxygen concentration on the standard aging curve and according to the stress change curve and the influence weight of the predetermined stress on the standard aging curve.
As shown in fig. 5, the apparatus includes:
a base model building module 510 for obtaining new cable samples having the same parameters as the in-use XLPE cable;
the thermal-oxidative aging model construction module 520 is configured to test the new cable sample in different temperature environments to obtain standard aging degree curves in the temperature environments;
the correction coefficient determining module 530 is configured to determine correction coefficients for the standard aging degree curves according to the influence of different oxygen concentrations on the standard aging degree curves;
The stress acquisition module 540 is configured to: acquiring stress data of the in-use XLPE cable through a stress sensor arranged on the in-use XLPE cable; constructing a stress change curve according to the stress data;
and the correction module 550 is configured to obtain temperature data and oxygen concentration data of the in-use XLPE cable, determine a target aging degree curve from the standard aging degree curves according to the temperature data and the oxygen concentration data, determine a target correction coefficient, and determine the corrected target aging degree curve as the fitted aging curve of the in-use XLPE cable.
Wherein, the correction module 550 is further configured to: and determining a target correction coefficient according to the oxygen concentration change curve and the influence weight of the predetermined oxygen concentration on the standard aging curve and according to the stress change curve and the influence weight of the predetermined stress on the standard aging curve.
The stress sensor may be a sensor that measures the internal stress of an object using the principle of resistive strain, which may be a change in shape and size that results in a change in the internal resistance of the object when the object is subjected to stress. The stress sensor uses this resistance change to measure stress. The stress data may be the effect of the forces inside the XLPE cable on the unit area of the XLPE cable, expressed by the symbol σ in pascals (Pa).
The stress variation curve may be a curve showing a variation trend of stress on a time axis. The method for constructing the stress change curve can adopt a mode of establishing a plane rectangular coordinate system taking time as a horizontal axis and taking stress as a vertical axis, acquiring stress data of the in-use XLPE cable every 1 second, marking the acquired stress data and corresponding acquisition time in the plane rectangular coordinate system by a computer, and finally fitting the punctuations into a smooth curve by using an interpolation method.
The method for determining the influence weight of the stress data can adopt a mode of inputting the stress data into a neural network model, and a computer calculates and feeds back the influence weight.
The method for determining the target correction coefficient can adopt a mode of calculating the ratio of the occurrence time of each stress in a change period to the change period in the stress change curve as a duration parameter, multiplying the duration parameter, the correction coefficient of the stress on the standard aging degree curve and the influence weight to obtain a partial correction coefficient of the stress, and finally, adding the partial correction coefficients of all the humidity and the partial correction coefficients of all the oxygen concentration to obtain the target correction coefficient. Wherein the period of variation may be a time interval in which a certain variation of stress repeatedly occurs on the time axis; the mode of determining the correction coefficient of different stress data to standard aging degree curves can adopt the mode of determining that the correction coefficient corresponding to standard stress data (the numerical value is XLPE cable bearing capacity 20%) is 1, and the correction coefficient corresponding to other stress data is the ratio of the stress data to the standard stress data.
The technical scheme has the advantages that the aging degree of the in-use XLPE cable under different stresses can be predicted by correcting the target aging degree curve according to the stress data, so that the in-use XLPE cable environment performance is studied more widely and carefully, and the practicability and accuracy are improved.
Example six
Fig. 6 is a flowchart of a thermal oxidative aging model modification method for XLPE cables according to the sixth embodiment of the present application. As shown in fig. 6, the method specifically comprises the following steps:
s601, acquiring a new cable sample with the same parameters as the used XLPE cable through a basic model construction module;
s602, testing the new cable sample by adopting different temperature environments through a thermal oxidation aging model building module to obtain standard aging degree curves in the temperature environments;
s603, determining correction coefficients of the standard aging degree curves according to the influence of different oxygen concentrations on the standard aging degree curves through a correction coefficient determination module;
s604, acquiring temperature data and oxygen concentration data of the in-use XLPE cable through a correction module, determining a target aging degree curve from all standard aging degree curves according to the temperature data and the oxygen concentration data, determining a target correction coefficient, and determining the corrected target aging degree curve as a fitting aging curve of the in-use XLPE cable.
In the embodiment of the application, a new cable sample with the same parameters as the used XLPE cable is obtained through a basic model building module; testing the new cable sample by adopting different temperature environments through a thermo-oxidative aging model construction module to obtain standard aging degree curves in the temperature environments; determining correction coefficients of the standard aging degree curves according to the influence of different oxygen concentrations on the standard aging degree curves through a correction coefficient determination module; and acquiring temperature data and oxygen concentration data of the in-use XLPE cable through a correction module, determining a target aging degree curve from all standard aging degree curves according to the temperature data and the oxygen concentration data, determining a target correction coefficient, and determining the corrected target aging degree curve as a fitting aging curve of the in-use XLPE cable. According to the correction method for the thermal oxidation aging model of the XLPE cable, the standard aging degree curve of the XLPE cable with the same parameters is constructed, so that accurate data reference can be provided for identifying the service life of the XLPE cable, the accuracy of an identification result is improved, the service lives of the XLPE cable in different environments can be identified by fitting the aging degree curve of a sample of the XLPE cable, and the application range of the device is enlarged.
The correction method for the thermal-oxidative aging model of the XLPE cable provided by the embodiment of the application corresponds to the correction device for the thermal-oxidative aging model of the XLPE cable provided by the embodiment, has the same functional modules and beneficial effects, and is not repeated here.
Example seven
As shown in fig. 7, an embodiment of the present application further provides an electronic device 700, including a processor 701, a memory 702, and a program or an instruction stored in the memory 702 and capable of running on the processor 701, where the program or the instruction implements each process of the embodiment of the thermal oxidative aging model correction apparatus of XLPE cable when executed by the processor 701, and the process can achieve the same technical effects, and is not repeated herein.
The electronic device in the embodiment of the application includes the mobile electronic device and the non-mobile electronic device.
Example eight
The embodiment of the application also provides a readable storage medium, wherein a program or an instruction is stored on the readable storage medium, and when the program or the instruction is executed by a processor, the processes of the embodiment of the thermal-oxidative aging model correction device for the XLPE cable are realized, and the same technical effects can be achieved, so that repetition is avoided, and the description is omitted.
Wherein the processor is a processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium such as a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk or an optical disk, and the like.
Example nine
The embodiment of the application further provides a chip, the chip comprises a processor and a communication interface, the communication interface is coupled with the processor, the processor is used for running programs or instructions, the processes of the embodiment of the thermal oxidative aging model correction device for XLPE cables are realized, the same technical effects can be achieved, and the repetition is avoided, so that the description is omitted.
It should be understood that the chips referred to in the embodiments of the present application may also be referred to as system-on-chip chips, chip systems, or system-on-chip chips, etc.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element. Furthermore, it should be noted that the scope of the methods and apparatus in the embodiments of the present application is not limited to performing the functions in the order shown or discussed, but may also include performing the functions in a substantially simultaneous manner or in an opposite order depending on the functions involved, e.g., the described methods may be performed in an order different from that described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a computer software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method according to the embodiments of the present application.
The embodiments of the present application have been described above with reference to the accompanying drawings, but the present application is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those having ordinary skill in the art without departing from the spirit of the present application and the scope of the claims, which are to be protected by the present application.
The foregoing description is only of the preferred embodiments of the application and the technical principles employed. The present application is not limited to the specific embodiments described herein, but is capable of numerous modifications, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the application. Therefore, while the application has been described in connection with the above embodiments, the application is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit of the application, the scope of which is set forth in the following claims.

Claims (10)

1. A thermal oxidative aging model modification apparatus for XLPE cables, the apparatus comprising:
the basic model construction module is used for acquiring a new cable sample with the same parameters as the in-use XLPE cable;
the thermal oxidation aging model construction module is used for testing the new cable sample by adopting different temperature environments to obtain standard aging degree curves in the temperature environments;
the correction coefficient determining module is used for determining correction coefficients for the standard aging degree curves according to the influence of different oxygen concentrations on the standard aging degree curves;
And the correction module is used for acquiring temperature data and oxygen concentration data of the in-use XLPE cable, determining a target aging degree curve from the standard aging degree curves according to the temperature data and the oxygen concentration data, determining a target correction coefficient, and determining the corrected target aging degree curve as a fitting aging curve of the in-use XLPE cable.
2. The device for modifying a thermal oxidative aging model of an XLPE cable of claim 1, further comprising:
and the service life determining module is used for determining the expected service life of the in-use XLPE cable according to the fitted aging curve.
3. The device for modifying a thermal oxidative aging model of an XLPE cable according to claim 1, wherein the modifying module is specifically configured to:
acquiring temperature data and oxygen concentration data of the in-use XLPE cable through a temperature sensor and an oxygen concentration sensor which are arranged on the in-use XLPE cable respectively;
and constructing a temperature change curve according to the temperature data, and constructing an oxygen concentration change curve according to the oxygen concentration data.
4. A thermal oxidative aging model modification apparatus for XLPE cables according to claim 3, wherein said modification module is further configured to:
According to the temperature change curves, selecting a standard aging curve with highest similarity between a temperature environment and the temperature change curves from the standard aging degree curves as a target aging degree curve;
and determining a target correction coefficient according to the oxygen concentration change curve and the influence weight of the predetermined oxygen concentration on the standard aging curve.
5. The device for modifying a thermal oxidative aging model of an XLPE cable of claim 4, further comprising an ambient humidity acquisition module for:
acquiring humidity data of the in-use XLPE cable through a humidity sensor arranged on the in-use XLPE cable;
constructing a humidity change curve according to the humidity data;
correspondingly, the correction module is further configured to:
and determining a target correction coefficient according to the oxygen concentration change curve and the influence weight of the predetermined oxygen concentration on the standard aging curve and according to the humidity change curve and the influence weight of the predetermined air humidity on the standard aging curve.
6. The device for modifying a thermal oxidative aging model of an XLPE cable of claim 4, further comprising a stress gathering module for:
Acquiring stress data of the in-use XLPE cable through a stress sensor arranged on the in-use XLPE cable;
constructing a stress change curve according to the stress data;
correspondingly, the correction module is further configured to:
and determining a target correction coefficient according to the oxygen concentration change curve and the influence weight of the predetermined oxygen concentration on the standard aging curve and according to the stress change curve and the influence weight of the predetermined stress on the standard aging curve.
7. A method for modifying a thermal oxidative aging model of an XLPE cable, the method comprising:
obtaining a new cable sample with the same parameters as the in-use XLPE cable through a basic model building module;
testing the new cable sample by adopting different temperature environments through a thermo-oxidative aging model construction module to obtain standard aging degree curves in the temperature environments;
determining correction coefficients of the standard aging degree curves according to the influence of different oxygen concentrations on the standard aging degree curves through a correction coefficient determination module;
and acquiring temperature data and oxygen concentration data of the in-use XLPE cable through a correction module, determining a target aging degree curve from all standard aging degree curves according to the temperature data and the oxygen concentration data, determining a target correction coefficient, and determining the corrected target aging degree curve as a fitting aging curve of the in-use XLPE cable.
8. The method of claim 7, wherein after determining the corrected target aging degree curve as the fitted aging curve for the in-use XLPE cable, the method further comprises:
and determining the expected service life of the in-use XLPE cable according to the fitted aging curve through a service life determining module.
9. The method for modifying a thermal oxidative aging model of an XLPE cable of claim 7, wherein obtaining temperature data and oxygen concentration data of the in-service XLPE cable by a modification module comprises:
acquiring temperature data and oxygen concentration data of the in-use XLPE cable through a temperature sensor and an oxygen concentration sensor which are arranged on the in-use XLPE cable respectively;
and constructing a temperature change curve according to the temperature data, and constructing an oxygen concentration change curve according to the oxygen concentration data.
10. An electronic device comprising a processor, a memory and a program or instruction stored on the memory and executable on the processor, which when executed by the processor, performs the steps of the method of modifying the thermal oxidative ageing model of an XLPE cable as claimed in any one of claims 7 to 9.
CN202311064756.8A 2023-08-22 2023-08-22 Device, method and equipment for correcting thermal-oxidative aging model of XLPE cable Pending CN117216956A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118010104A (en) * 2024-04-10 2024-05-10 南京师范大学 Electrical circuit aging degree detection method and system

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118010104A (en) * 2024-04-10 2024-05-10 南京师范大学 Electrical circuit aging degree detection method and system

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